Post on 17-Mar-2020
THKU MCH (Mechatronics)1-1 Credits AKTS 1-2 Credits AKTS
MAT 121 Mathematics I 4 4-0-4 8 MAT 122 Mathematics II 4 4-0-4 8PHY 101 Physics I 4 3-2-4 6 PHY 102 Physics II 4 3-2-4 6
COM 121Computer Programmign I(Java) 4 3-2-4 8 COM 122
Computer Programming II(C/C++) 4 3-2-4 7
TUR 101 Turkish I 2 2-0-2 2 TUR 102 Turkish II 2 2-0-2 2
ENG 102Academic PresentationSkills 3 2-2-3 6 ENG 101 Academic Writing Skills 3 2-2-3 6
MCH 101Introduction toMechatronics 1 0-3-1 1
Total Courses 5 5 Total Courses 6 6Total Credits 17 30 Total Credits 18 302-1 2-2
COM 201Algorithms and DataSturctures 3 3-0-3 5
(**) Faculty ElectiveCourse 5 4-2-5 6
EEE 201 Circuit Theory 4 4-0-4 6 MEC 202 Dynamics 3 3-0-3 6
MCH 203
Elements of Design forMechatronics EngineeringI 5 4-2-5 6 MAT 222 Differantial Equations 3 3-0-3 5(*) Mathematics ElectiveCourse 3 3-0-3 6 EEE 202 Electronic Circuits 4 4-0-4 6
MCH 201 Engineering Mechanics 5 4 - 2 - 5 5 ATA 102 Principles of Ataturk II 2 2-0-2 2ATA 101 Principles of Ataturk I 2 2-0-2 2 MCH 200 Summer Practice I 0 0-0-0 5
Total Courses 6 6 Total Courses 7 7Total Credits 22 30 Total Credits 17 303-1 3-2
EEE 301 Signals and Systems 3 3-0-3 6 EEE 302Automatic ControlSystems 3 3-0-3 5
(**) Faculty ElectiveCourse 5 4-2-5 6 MCH 302 Mechatronic Components 4 3-2-4 4
MCH 301 Modeling and Simulation 3 3-0-3 5(**) Faculty ElectiveCourse 4 4-0-4 6
EEE 307 Microprocessors 3 2-2-3 6 MEC 304 Machine Theory 3 3-0-3 6EEE 205 Logic Design 4 3-2-4 7 MCH 300 Summer Practice II 0 0-0-0 9
Total Courses 5 5 Total Courses 6 6Total Credits 18 30 Total Credits 14 304-1 4-2
MCH 495 Senior Design Project I 3 3-0-3 9 MCH 496 Senior Design Project II 3 3-0-3 9(***) Technical ElectiveCourse I 5 4-2-5 6
(***) Technical ElectiveCourse IV 3 3-0-3 6
(***) Technical ElectiveCourse II 3 3-0-3 6
(***) Technical ElectiveCourse V 3 3-0-3 6
(***) Technical ElectiveCourse III 3 3-0-3 6
(*) Mathematics ElectiveCourse 3 3-0-3 6
Cultural Elective Course I 3 3-0-3 3Cultural Elective CourseII 3 3-0-3 3
Total Courses 5 5 Total Courses 5 5Total Credits 17 30 Total Credits 15 30
Total Courses 45Total Credits 138Total AKTS 240
(*) Mathematics Elective Course: At least 2 courses in the list: MAT 221 Linear Algebra, IND 323 Probability and Statistics, MAT 201Discrete Mathematics, MAT XXX Probability, MAT 232 Complex Analysis, MAT XXX Numerical Methods, MAT XXX Statistics
(**) Faculty Elective Course: At least 3 courses in the list: MCH 202 Materials Science and Manufacturing Methods for MechatronicsEngineering, MCH 303 Elements of Design for Mechatronics Engineering II, MCH 304 Thermo-fluid Engineering, MCH 306Introduction to Microsystems, COM 202 Algorithms and Data Structures II, COM 203 Object-oriented Design and Programming, COM302 Computer Architecture and Embedded Systems, COM 411 Software Engineering, EEE 206 Electromagnetic Theory, EEE XXXElectrical Machines I, EEE XXX Electrical Machines II, EEE 308 Digital Signal Processing, MEC 205 Thermodynamics, MEC 301Manufacturing Techniques, MEC 305 Heat Transfer, MEC 306 Machine Elements, IND 202 Operations Research I, IND 301 OperationsResearch II, IND 302 Production Planning and Control, IND 305 Quality Assurance and Reliability, IND 306 Simulation, AEE 204 FluidMechanics, AEE 303 Aerodynamics I, AEE 304 Aerodynamics II
(***) Technical Elective Course: At least 5 courses in the list. At least 2 of these courses should be MCH4XX . Elective courses from theother departments are due to the consent of Mechatronics Department. MCH 401 Mechatronic Instrumentation, MCH 403 ModernControl, MCH 405 Mechanical Vibrations, MCH 407 Design Problems in Engineering, MCH 409 Practical Finite Elements, MCH 411Flying Robotics, MCH 402 Swarm Robotics, MCH 404 Space Mechatronics, MCH 406 Industrial Automation, MCH 408 AdvancedStructural Mechanics and Mechatronic Compoment Design, MCH 410 Advanced CAD ve CAM, MCH 412 Smart Materials, MCH 414Robotics, MCH 416 Optimal Control, EEE 4XX, COM 4XX, IND 4XX, AEE 4XX, MEC 4XX
(****) Cultural Elective Course: At least 2 courses from the offered cultural elective courses.
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : COM121
Mode of delivery : Laboratory, Projects and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: Main objective of this course is to introduce basic concepts of mechatronics
engineering to the students. Building blocks of mechatronics products will be
introduced. At the end of the course, students will be familiar with some basic
sensors, actuators and microcontrollers.
Course contents
: What is engineering? Engineering codes and ethics. Principles of
mechatronics engineering. Building blocks of mechatronic products.
Introduction to mobile robots. Obot mobile robot platform. Sensors, actuators,
microcontrollers and programming. Braitenberg vehicles. Implementation with
Obot platform.
Recommended optional
program components : --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Learn engineering codes and ethics Laboratory Exams
2 Learn basic principles of mechatronics Laboratory Projects and Exams
3 Reverse engineer mechatronics products and
understand basic working principles
Laboratory Projects and Exams
4 Understand different design techniques to
create mechatronic systems
Laboratory Projects and Exams
5 Work individually or in a group for solving
mechatronic design problems.
Laboratory Projects and Exams
6 Design, develop and implement simple
behaviors in mobile robots
Laboratory Projects and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 What is engineering? 3
2 Engineering codes and ethics 3
3 What is mechatronics engineering? 3
4 Basic building blocks of mechatronic products 3
5 Video demonstration: Mechatronic products 3
Course
Code MCH102
Course
Name Introduction to Mechatronics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 2nd
English 0 3 0 1 1
COURSE INFORMATION
6 Introduction to mobile robots 3
7 Video demonstration: Mobile Robots 3
8 Mid-term Examination 3
9 Sensors, actuators and controllers in mobile robots 3
10 Basic principles of control and close-loop systems 3
11 Introduction to Obot Mobile Robot Kit 3
12 Sensors and interfacing 3
13 Actuators and actuation systems 3
14 Introduction to Braitenberg Vehicles 3
15 Implementation of Braitenberg Vehicles with Obot 3
16 Final Examination 3
17 Final Examination
Sources
Course
notes/textbooks
: Sabri Çetinkunt, “Mechatronics”, John Wiley & Sons, 2006. ISBN: 047147987X
Histand M.B., and Alciatore D.G. "Introduction to Mechatroncis and Measurement
Systems", McGraw-Hill International Editions, 1999.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework -- 0
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects 3 30
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 0 0 0
Individual study for
course 1 3 3
Midterm exam(s) 1 3 3
COURSE INFORMATION
Final exam 1 4 4
Individual study for
project 5 3 15
Individual study for
midterm exams 1 2 2
Individual study for final
exam 1 2 2
Total 29
ECTS Credit(Total/25.5) 1
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 4 4 3 3 2
LO2 4 3 4 4 4 5 3 2 3 3 3 3
LO3 5 4 5 5 5 5 4 4 4 3 3 4
LO4 2 2 3 4 5 3 3 3 4 3 3 2
LO5 3 3 5 4 4 4 3 4 4 3 3 2
LO6 3 3 4 5 5 3 3 2 3 3 3 3
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department
Prerequisites/Requirements
for Admission -
Mode of delivery Lecture, Presentation, Demonstration
Course coordinator -
Course lecturer(s) Oğuz Uçar
Course assistant(s) -
Course description/aim Students will be able to understand , interpret and make analysis based on Atatürk
Principles and Revolutions
Course contents
Ottoman Empire during the early 20th
century, World War 1 and its results,
The Preparation Period of Independence War, Battles and Treaties During The
Independence War
Recommended optional
program components -
Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are
accepted as unsuccessful
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course; students will be able to:
1. explain concepts pertaining to Atatürk
principles and Revolution History
Lecture, Question and
Answer
Written exam, homework
2. interpret the democratization process of
Ottomon Empire.
Lecture, Question and
Answer, Discussion
Written exam, homework
3. interpret the effect of 1st and 2
nd
constitutional monarchy periods on Ottomon
political life.
Lecture, Question and
Answer, Discussion
Written exam, homework
4. explain the effects of Industrial Revolution
and French Revolution on World War 1.
Lecture, Question and
Answer, Discussion
Written exam, homework
5. evaluate World War 1 and its results in
terms of Turkish and World History.
Lecture, Question and
Answer, Discussion
Written exam, homework
6. explain and interpret developments
pertaining to Mondros ceasefire agreement
and its following developments.
Lecture, Question and
Answer, Discussion
Written exam, homework
7. explain the aim and content of notices and
congresses during Independence War.
Lecture, Question and
Answer, Discussion
Written exam, homework
8. explain and interpret the decisions of
National Oath and the Last Ottoman
Parliament
Lecture, Question and
Answer, Discussion
Written exam, homework
9. explain and interpret the opening of Turkish
Grand National Assembly and the
precautions taken towards rebellions
Lecture, Question and
Answer, Discussion
Written exam, homework
Course
Code ATA101
Course
Name ATATURK’S PRINCIPLES AND REVOLUTION HISTORY
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory First
Degree 3 Turkish 2 0 - 2 2
COURSE INFORMATION
10. interpret the fronts during the Independence
War, Mudanya Ceasefire and Lozan Peace
Treaty
Lecture, Question and
Answer, Discussion
Written exam, homework
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Ottoman Empire during the early Part of 20
th century, Turco-
Italian and Balkan Wars
Textbook /Lecture
notes
2
2 The Causes of World War 1/ The Ottomans Entering into War Textbook /Lecture
notes
2
3 The Fronts in World War 1 Textbook /Lecture
notes
2
4 Wilson Principles, Paris Peace Conference Textbook /Lecture
notes
2
5 Mondros Ceasefire and Societies Textbook /Lecture
notes
2
6 The Preparation Period of Independence War Textbook /Lecture
notes
2
7 Havza, Amasya and Erzurum Congresses Textbook /Lecture
notes
2
8 Midterm Exam Textbook /Lecture
notes
2
9 Sivas Congress and Amasya Negotiations Textbook /Lecture
notes
2
10 The Decisions of the Last Otktoman Parliament and National
Assembly and Sevr Peace Aggreement
Textbook /Lecture
notes
2
11 The Opening and the Rebellions Towards Turkish Grand
National Assembly and Sevr Peace Aggreement
Textbook /Lecture
notes
2
12 East and South Fronts in the Independence War Textbook /Lecture
notes
2
13 Wars of 1st and 2nd İnönü, Kütahya-Eskişehir Wars Textbook /Lecture
notes
2
14 Sakarya and Grand War Textbook /Lecture
notes
2
15 Mudanya Ceasefire and Lozan Peace Treaty Textbook /Lecture
notes
2
16 Final Exam Textbook /Lecture
notes
2
17 Final Exam Textbook /Lecture
notes
2
Sources
Course
notes/textbooks : Nutuk(Atatürk Research Center),Turkish Republic History, Birth of Modern Turkey
Readings :
Supplemental
readings : Modern Turkey Magazine, Memories and Diaries
References :
COURSE INFORMATION
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 600
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload
Type Number Time (hours) Total Workload
Class Duration 14 2 28
Individual Study 14 1 14
Midterm(s) 1 2 2
Final 1 2 2
Individual Study for
Homeworks
Individual Study for
Presentations
Individual Study for
Projects
Individual Study for
Midterm(s) 2 3 6
Individual Study for Final 2 4 8
Total 60
ECTS (Total/25.5) 2
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11
LO1 1 1 1 1 3 3 5 2 2 2 1
LO2 1 1 1 1 3 3 5 2 2 2 1
LO3 1 1 1 1 3 3 5 2 2 2 1
LO4 1 1 1 1 3 3 5 2 2 2 1
LO5 1 1 1 1 3 3 5 2 2 2 1
LO6 1 1 1 1 3 3 5 2 2 2 1
LO7 1 1 1 1 3 3 5 2 2 2 1
LO8 1 1 1 1 3 3 5 2 2 2 1
LO9 1 1 1 1 3 3 5 2 2 2 1
LO10 1 1 1 1 3 3 5 2 2 2 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department
Prerequisites/Requirements
for Admission -
Mode of delivery Lecture, Presentation, Demonstration
Course coordinator -
Course lecturer(s) Oğuz Uçar
Course assistant(s) -
Course description/aim The aim of the course is to make students understand, analyze and interpret the
principals and revolutions of Atatürk.
Course contents
Atatürk Revolutions (political, legal , education, social, economic), Trials of
the Multi-Party System, Foreign policy in Atatürk’s period, Kemalism and its
principles, The period of İsmet İnönü, Second World War and Turkey.
Recommended optional
program components -
Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are
accepted as unsuccessful
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1. Explain the concepts of Atatürk’s principles
and Revolution History.
Lecture, Question and
Answer
Written exam, homework
2. Evaluate the political revolutions of new
Turkish government.
Lecture, Question and
Answer, Discussion
Written exam, homework
3. Explain the reasons of the failure in
transition of many political parties.
Lecture, Question and
Answer, Discussion
Written exam, homework
4. Evaluate the revolutions of legal by
comparing with old legal system.
Lecture, Question and
Answer, Discussion
Written exam, homework
5. Explain the revolutions on education and
culture.
Lecture, Question and
Answer, Discussion
Written exam, homework
6. Find the differences on social life by
comparing with previous period.
Lecture, Question and
Answer, Discussion
Written exam, homework
7. Make a comment on works of economics
and its contributions to the country.
Lecture, Question and
Answer, Discussion
Written exam, homework
8. Evaluate the methods followed in foreign
policy by learning Turkish foreign policy.
Lecture, Question and
Answer, Discussion
Written exam, homework
9. Evaluate Atatürk principals by interpreting
Kemalism system.
Lecture, Question and
Answer, Discussion
Written exam, homework
10. Interpret the events in Turkey and Second
World War.
Lecture, Question and
Answer, Discussion
Written exam, homework
Course
Code ATA102
Course
Name ATATURK’S PRINCIPLES AND REVOLUTION HISTORY
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 2 Turkish 2 - - 2 2
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Turkish Revolution History Textbook /Lecture
notes
2
2 Revolutions on the field o f Policy Textbook /Lecture
notes
2
3 Trials of the Multi-Party System Textbook /Lecture
notes
2
4 Revolutions in the field of Legal Textbook /Lecture
notes
2
5 Revolutions in the field of Education and Culture Textbook /Lecture
notes
2
6 Revolutions in the field of Social Textbook /Lecture
notes
2
7 Recap Textbook /Lecture
notes
2
8 Midterm Exam Textbook /Lecture
notes
2
9 Events of Econmics and Revolutions in the field of Economics Textbook /Lecture
notes
2
10 Foreign policy of the new Turkish Government Textbook /Lecture
notes
2
11 The Bosphorus Issue , Balkan Entente, Sadabad Entente,
Hatay Issue, Population Exchange
Textbook /Lecture
notes
2
12 Kemalism Textbook /Lecture
notes
2
13 Atatürk principles (Republicanism, Nationalism, Populism,
Secularism, Statism, Revolutionism )
Textbook /Lecture
notes
2
14 The death of Atatürk and the period of İsmet İnönü Textbook /Lecture
notes
2
15 Second World War and Turkey Textbook /Lecture
notes
2
16 Final Exam Textbook /Lecture
notes
2
17 Final Exam
Sources
Course
notes/textbooks
: Nutuk(Atatürk Searching Centre),The History of Turkish Republic, Rising of Modern
Turkey, Course grades of the teacher
Readings :
Supplemental
readings : Çağdaş Türkiye Dergisi, Anı ve Hatıralar
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
COURSE INFORMATION
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 600
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload
Type Number Time (hours) Total Workload
Class Duration 14 2 28
Individual Study 10 1 10
Midterm(s) 1 2 2
Final 1 2 2 Individual Study for
Homeworks
Individual Study for
Presentations
Individual Study for
Projects
Individual Study for
Midterm(s) 2 2 4
Individual Study for Final 2 2 4
Total 50
ECTS (Total/25.5) 2
MATRIX OF COURSE LEARNING OUTCOMES VERSUS PROGRAM OUTCOMES
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 1 1 3 1 1 1 1 1 3 5 1 5
LO2 1 1 3 1 1 1 1 1 3 3 1 4
LO3 1 1 2 1 1 1 1 1 3 3 1 5
LO4 1 1 3 1 1 1 1 1 4 4 1 4
LO5 1 1 2 1 1 1 1 1 5 5 1 4
LO6 1 1 2 1 1 1 1 1 4 3 1 4
LO7 1 1 2 1 1 1 1 1 3 3 1 5
LO8 1 1 3 1 1 1 1 1 4 4 1 4
LO9 1 1 2 1 1 1 1 1 5 5 1 4
COURSE INFORMATION
LO10 1 1 2 1 1 1 1 1 4 3 1 4
Contrubition level : 1 Lowest, 2 Low, 3Average , 4 High, 5 Highest
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face
Course coordinator : Dr. Engin Demir
Course lecturer(s) : Dr. Engin Demir, Emre Yılmaz
Course assistant(s) : N/A
Course description/aim : This course introduces fundamental concepts of programming using Java.
Course contents
: This is an introductory course for computer programming using Java. The
course covers the fundamentals of algorithmic problem solving for a variety of
problems involving the use of basic control and data structures. Other topics
include fundamental data types, control structures including conditions and
iteration, arrays, input and output. In addition, some key concepts of object-
oriented programming will be discussed.
Recommended optional
program components : None
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 To be able to use an integrated development
environment to design and write code in the
Java programming language
Lectures Quizzes, exams and
laboratory assignments
2 To define and correctly use data types, arrays,
conditionals and loops Lectures Quizzes, exams and
laboratory assignments
3 To understand the use of predefined classes Lectures Quizzes, exams and
laboratory assignments
4 To be able to design objects and write new classes Lectures Quizzes, exams and
laboratory assignments
5 To illustrate the principles of object-oriented
programming Lectures Quizzes, exams and
laboratory assignments
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to computing Textbook 3
2 Character strings, variables and assignments, primitive
data types
Textbook 3
3 Expressions, data conversion and interactive programs Textbook 3
4 The use of predefined classes and enumerated types,
creating objects.
Textbook 3
5 Anatomy of classes and methods, Writing classes Textbook 3
Course
Code COM121
Course
Name Computer Programming I (Java)
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 1 English 3 0 2 4 7
COURSE INFORMATION
6 Boolean expressions, conditionals Textbook 3
7 While loops, iterators, ArrayList Class Textbook 3
8 Midterm 1 2
9 Switch statement, do and for loops. Textbook 3
10 Array elements, declaring and using arrays, arrays of
objects
Textbook 3
11 Variable length parameter lists, two-dimensional arrays Textbook 3
12 Midterm 2 2
13 Class relationships, static class members Textbook 3
14 Interfaces, method design, method overloading Textbook 3
15 Review Textbook 3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: Java Software Solutions: Foundations of Program Design, Lewis & Loftus, Seventh
Edition, Pearson.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 5
Homework
Presentation
Laboratory/Practice 8 25
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 40
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 13 3 39
Individual study for
course 10 6 60
Midterm exam(s) 2 2 4
COURSE INFORMATION
Final exam 1 3 3
Laboratory 8 2 16
Individual study for
laboratory 8 2 16
Individual study for
midterm exams 4 5 20
Individual study for final
exam 4 4 16
Total 174
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 2 1 2 3 2 2 2 2 2 4 2
LO2 3 5 2 3 4 3 3 3 3 4 2 2
LO3 4 3 2 2 5 1 2 2 2 3 4 2
LO4 2 2 3 2 1 2 3 4 3 3 2 3
LO5 1 2 2 1 2 2 2 2 4 4 4 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission : COM121
Mode of delivery : Face to face
Course coordinator : Dr. Engin Demir
Course lecturer(s) : Dr. Engin Demir, Emre Yılmaz
Course assistant(s) : N/A
Course description/aim : The course aims to introduce C/C++ programming languages, principles of object
oriented programming, basic data structures and graphical user interface.
Course contents
: Course content includes the usage of data types, arrays, conditionals and
loops in C/C++. In addition, the course covers functions and recursion,
pointers, basic data structures such as linked lists, queues and stacks, the
object-oriented programming concepts, file I/O and GUI.
Recommended optional
program components : None
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 To be able to write code in C/C++
programming languages
Lectures Quizzes, exams and
laboratory assignments
2 To define and correctly use data types, arrays,
conditionals and loops in C/C++ Lectures Quizzes, exams and
laboratory assignments
3 To use pointers and basic data structures such
as linked list, queue and stack
Lectures Quizzes, exams and
laboratory assignments
4 To understand recursive and iterative
thinking.
Lectures Quizzes, exams and
laboratory assignments
5 To be able to handle errors and exceptions. Lectures Quizzes, exams and
laboratory assignments
6 To explore the concepts of object-oriented
programming such as inheritance and
polymorphism
Lectures Quizzes, exams and
laboratory assignments
7 To develop simple applications with
graphical user interface(GUI)
Lectures Quizzes, exams and
laboratory assignments
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Basics of programming Textbook 1 & 2 3
2 Data types, conditionals and loops Textbook 1 3
3 Functions and recursion Textbook 1 3
4 Arrays and vectors Textbook 1 3
Course
Code COM122
Course
Name Computer Programming II (C/C++)
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 2 English 3 0 2 4 7
COURSE INFORMATION
5 Pointers Textbook 1 3
6 Pointers, Linked list Textbook 1, Supp.
read.
3
7 Queue and stack Textbook 1, Supp.
read.
3
8 Midterm 2
9 Error and error handling Textbook 1 3
10 Classes and objects Textbook 1 3
11 Object-oriented programming: Inheritance Textbook 1 3
12 Object-oriented programming: Polymorphism Textbook 1 3
13 File I/O Textbook 1 3
14 GUI Textbook 2 3
15 GUI Textbook 2 3
16 Final Exam 2
17 Final Exam
Sources
Course
notes/textbooks
: 1. C++ How to Program, Deitel & Deitel ,8/E, Pearson
2. Programming: Principles and Practice Using C++, Stroustrup, Pearson.
Readings :
Supplemental
readings
: Data Abstraction & Problem Solving with C++: Walls and Mirrors, Carrano & Henry,
6/E, Pearson
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 5
Homework
Presentation
Laboratory/Practice 8 25
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for 10 6 60
COURSE INFORMATION
course
Midterm exam(s) 1 2 2
Final exam 1 2 2
Laboratory 8 2 16
Individual study for
laboratory 8 2 16
Individual study for
midterm exams 5 4 20
Individual study for final
exam 5 4 20
Total 178
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 2 1 2 3 2 2 2 2 2 4 2
LO2 3 5 2 3 4 3 3 3 3 4 2 2
LO3 4 3 2 2 5 1 2 2 2 3 4 2
LO4 2 2 3 2 1 2 3 4 3 3 2 3
LO5 1 2 2 1 2 2 2 2 4 4 4 3
LO6 2 3 3 3 3 2 2 3 3 3 3 3
LO7 3 2 2 2 3 3 2 2 2 3 3 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Faculty of Aeronautics and Astronautics, Faculty of Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : The aim of this course is to familiarize students with the discoursal and cognitive
aspects of writing academic essays, projects and research articles.
Course contents
: Starting from the academic writing processes to practising writing an
academic paper on a specific topic, the course presents an organisation from
introduction of an overview of the major elements involved in academic
writing, differences between academic and personal styles of writing, grammar
of academic writing, strategies to produce increasingly more complex texts to
creation of whole texts. The course focuses on the creation of bibliographies
and the structure of research report and papers.
Recommended optional
program components : Web-sites, articles, newspapers, magazines in English
Compulsory Attendance :
Course Learning Outcomes
Learning outcome
Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Develop skills for solving problems and
generating ideas to compose these ideas into a
written text that efficiently convey ideas
within academic appropriateness
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
2 Recognize academic discourse, academic
vocabulary together with processes of
academic writing
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
3 Explore ways of organizing data Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
4 Plan how comparisons and contrasts can lead
to evaluations
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
5 Explore how principles of clarity, honesty,
reality and relevance improve texts
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
Course
Code ENG 105
Course
Name Academic Writing Skills
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory
Elective Bachelor 1 English 2 2 0 3 6
COURSE INFORMATION
6 Present cohesion while writing about visuals
(diagrams, graphs, pie charts)
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
7 Examine key aspects of method, result and
discussion sections in academic papers
Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
8 Learn techniques for organizing a text Lecture, discussion,
brain storming, problem-
solving, individual and
group work
Written exam,
homework
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1
Exploring characteristics of academic writing, thinking about
writing processes, the grammar of academic discourse,
distinguishing between academic and personal styles of
writing, avoiding plagiarism
4
2
Researching, exploring the Internet and recording
explorations, brainstorming, clustering, planning and
visualizing texts
4
3 Paraphrasing, summarizing, response writing, getting teacher
feedback
4
4 Developing and organizing argumentative essays, getting
teacher feedback
4
5
The language of classification, recognizing categories and
classifications, writing classification essays, getting teacher
feedback
4
6
Exploring comparison and contrast structures, using
comparisons and contrasts to evaluate and recommend,
writing evaluations, getting teacher feedback
4
7
Identifying a research gap, exploring the structure of a
research paper, giving feedback for sample academic texts
within a peer group
4
8 Mid-term exam 4
9 Exploring the language of definition, understanding academic
vocabulary, writing extended definitions
4
10 Exploring the language of generalizations, hedging and
boosting generalizations, writing a literature review
4
11
Reading and writing about visuals, describing diagrams, bar
charts, pie charts and tables, writing exercises that describe
visuals
4
12
Describing processes, exploring the language for writing
about processes, reading and recognizing the structure of
Methods section of an academic paper, in-class guided writing
exercises
4
13
Exploring the results and discussion sections of argumentative
academic texts, group discussions for results and discussion
sections in sample academic texts, in-class guided writing
exercises
4
COURSE INFORMATION
14
Exploring the structure of S-P-S-E (Situation, Problem,
Solution, Evaluation) in academic texts, writing Problem-
Solving essay, getting teacher feedback
4
15
Exercises on recognizing and revising principles of academic
writing; clarity principle, honesty principle, reality principle
and relevance principle
4
16 Final Exam 4
17 Final Exam
Sources
Course
notes/textbooks :
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework 5 25
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 25
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 4 56
Individual study for
course 10 4 40
Midterm exam(s) 1 3 3
Individual study for
midterm exams 1 10 10
Final exam 1 3 3
Individual study for final
exam 2 5 10
COURSE INFORMATION
Individual study for
project
Individual study for
homework 5 3 15
Individual study for
presentation 3 4 12
Total 149
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 1 4 3 1 1 1 1 1 1 3 1 2
LO2 1 3 4 1 1 1 1 1 1 4 1 3
LO3 1 4 4 1 1 1 1 1 1 3 1 4
LO4 1 3 3 1 1 1 1 1 1 3 1 5
LO5 1 4 4 1 1 1 1 1 1 4 1 3
LO6 1 5 4 1 1 1 1 1 1 5 1 4
LO7 1 5 5 1 1 1 1 1 1 4 1 3
LO8 1 5 5 1 1 1 1 1 1 3 1 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Faculty of Aeronautics and Astronautics, Faculty of Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: The aim of this course is to enable students to communicate more effectively in
seminars, presentations and group work by equipping them with necessary academic
speaking skills.
Course contents
: Although the course mainly focuses on improvement of speaking skills,
improvement on listening, writing and reading skills will also be included to
complement communication skills. The course balances language focus and
academic input with practice to enhance students’ competence and to help
them communicate effectively in different academic situations.
Recommended optional
program components :
Compulsory Attendance :
Course Learning Outcomes
Learning outcome At the end of this course; students will be able
to:
Teaching
Methods/Techniques
Assessment method(s)
1 Develop critical thinking skills through reading,
reflection, discussion, oral presentation and
writing.
Lecture, discussion,
presentation
Oral presentation
2 Demonstrate increased confidence in speaking. Lecture, discussion,
presentation
Oral presentation
3 Develop skills to learn from other persons' oral
presentations. Lecture, discussion,
presentation
Oral presentation
4 Prepare appropriate media for presentations. Lecture, discussion,
presentation
Oral presentation
5 Demonstrate teamwork and group presentation
skills as a contributing member of a team. Lecture, discussion,
presentation
Oral presentation
6 Develop skills for reading, discussion and writing. Lecture, discussion,
presentation
Oral presentation
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
Students will be able to:
1 Introduction to public speaking, the speech communication
process, developing confidence, class speech
4
Course
Code ENG 106
Course
Name Academic Presentation Skills
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory
Elective Bachelor 2 English 2 2 0 3 6
COURSE INFORMATION
2
Introduction to academic appropriateness, avoiding
plagiarism, the importance of ethics in speaking and listening,
the importance of being a better listener, strategies for
listening better, note-taking skills and practice
4
3 Selecting a topic and a purpose, determining general and
specific purposes, phrasing the central idea
4
4 Class speeches, commentary and peer feedback – analyzing
the audience, adapting to the audience
4
5 Doing research, supporting ideas, citing sources orally,
outlining the speech
4
6 Introduction and Conclusion of the speech, organizing the
body of the speech
4
7 Kinds of visual aids, preparing and presenting visual aids,
using power point,
4
8 Practicing delivery, answering audience questions (Mid-term
Exam)
4
9 Introduction and analysis of informative speeches 4
10 Introduction and analysis of persuasive speeches 4
11 Reading and listening selected texts, analysis and discussion 4
12 Reading and listening selected texts, analysis and discussion 4
13 Oral report, symposium, panel discussions, the reflective-
thinking method
4
14 Informative presentation 4
15 Persuasive presentation 4
16 Final presentation 4
17 Final presentation
Sources
Course
notes/textbooks :
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 7 10
Homework
Presentation 2 20
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
COURSE INFORMATION
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 4 56
Individual study for
course 10 4 40
Midterm exam(s) 1 3 3
Individual study for
midterm exams 2 5 10
Final exam 1 3 3
Individual study for final
exam 2 5 10
Individual study for
project
Individual study for
homework 5 3 15
Individual study for
presentation 2 5 10
Total 147
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 1 4 3 1 1 1 1 1 1 3 1 2
LO2 1 3 4 1 1 1 1 1 1 4 1 3
LO3 1 4 4 1 1 1 1 1 1 3 1 4
LO4 1 3 3 1 1 1 1 1 1 3 1 5
LO5 1 4 4 1 1 1 1 1 1 4 1 3
LO6 1 5 4 1 1 1 1 1 1 5 1 4
LO7 1 5 5 1 1 1 1 1 1 4 1 3
LO8 1 5 5 1 1 1 1 1 1 3 1 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Faculty of Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator
Course lecturer(s)
Course assistant(s)
Course description/aim Learning calculus fundamentals with an engineering perspective and applying
to real-life problems using tools such as Wolfram Alpha, and Matlab
Course contents
Discussions include but not limited to functions, limits and continuity,
differentiation, applications of derivatives, integration, applications of
definition integrals, and techniques of integration. Applied math part includes
numerical assignments to be solved with Matlab and Wolfram Alpha.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Explain functions, composite functions and
their uses in systems with an engineering
perspective
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Explain continuity of functions in connection
with limits followed by limit theorems
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Explain relation between a secant line of a
function and its tangent line which is then
expanded to derivatives
Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Explain integration and fundamental theorem
of calculus built upon antiderivatives
Lecture, Lecture with
Discussion
Midterm and Final
Exams
5 Apply derivative and integration to physical
problems (such as displacement and
optimization) and develop/generate numerical
solutions to otherwise hard-to-solve-
algebraically math problems using tools such
as Wolfram Alpha and Matlab
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 1. Functions: Textbook/ Lecture 4
Course
Code MAT 121
Course
Name Mathematics I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 1 English 4 0 0 4 8
COURSE INFORMATION
1.1 Functions and Their Graphs, 1.2 Combining Functions;
Shifting and Scaling Graphs
Notes
2 1.3 Trigonometric Functions, 1.4 Graphing with Calculators and
Computers
Textbook/ Lecture
Notes
4
3
2. Limits and Continuity:
2.1 Rates of Change and Tangents to Curves, 2.2 Limit of a
Function and Limit Laws, 2.3 The Precise Definition of a Limit
Textbook/ Lecture
Notes
4
4 2.4 One-Sided Limits, 2.5 Continuity, 2.6 Limits Involving
Infinity; Asymptotes of Graphs
Textbook/ Lecture
Notes
4
5
3. Differentiation:
3.1 Tangents and the Derivative at a Point, 3.2 The Derivative as
a Function, 3.3 Differentiation Rules, 3.4 The Derivative as a
Rate of Change
Textbook/ Lecture
Notes
4
6
3.5 Derivatives of Trigonometric Functions, 3.6 The Chain Rule,
3.7 Implicit Differentiation, 3.8 Related Rates, 3.9 Linearization
and Differentials
Textbook/ Lecture
Notes
4
7
4. Applications of Derivatives:
4.1 Extreme Values of Functions, 4.2 The Mean Value Theorem,
4.3 Monotonic Functions and the First Derivative Test
Textbook/ Lecture
Notes
4
8 Midterm Exam 2
9 4.4 Concavity and Curve Sketching, 4.5 Applied Optimization,
4.6 Newton's Method, 4.7 Antiderivatives
Textbook/ Lecture
Notes
4
10
5. Integration:
5.1 Area and Estimating with Finite Sums, 5.2 Sigma Notation
and Limits of Finite Sums, 5.3 The Definite Integral
Textbook/ Lecture
Notes
4
11
5.4 The Fundamental Theorem of Calculus, 5.5 Indefinite
Integrals and the Substitution Method, 5.6 Substitution and Area
Between Curves
Textbook/ Lecture
Notes
4
12
6. Applications of Definite Integrals:
6.1 Volumes Using Cross-Sections, 6.2 Volumes Using
Cylindrical Shells
Textbook/ Lecture
Notes
4
13 6.3 Arc Length, 6.4 Areas of Surfaces of Revolution Textbook/ Lecture
Notes
4
14
7. Transcendental Functions:
7.1 Inverse Functions and Their Derivatives, 7.2 Natural
Logarithms, 7.3 Exponential Functions, 7.4 Exponential Change
and Separable Differential Equations
Textbook/ Lecture
Notes
4
15
7.5 Indeterminate Forms and L’Hopital's Rule, 7.6 Inverse
Trigonometric Functions, 7.7 Hyperbolic Functions, 7.8 Relative
Rates of Growth
Textbook/ Lecture
Notes
4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
Thomas' Calculus: Global Edition, 12/e by George B. Thomas, Jr., Maurice D. Weir,
and Joel Hass, ISBN -10: 0321643631, ISBN-13: 9780321643636, Published by
Pearson Higher Education ©2010, 1236 pp. packaged with MyMathLab or MyMathLab
stand-alone.
Readings
Supplemental
readings
References Calculus: Early Transcendentals (Stewart's Calculus Series) by James Stewart
COURSE INFORMATION
http://www.wolframalpha.com
http://www.mathworks.com/academia/student_version/
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 56 1 56
Individual study for
course 15 5 75
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 6 5 30
Individual study for
midterm exams 3 5 15
Individual study for final
exam 4 5 20
Total 201
ECTS Credit(Total/25.5) 8
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 1 4 1 1 1 1 2 1 1
LO2 5 5 2 1 5 1 1 1 1 3 1 1
LO3 5 5 3 1 3 1 1 1 1 3 1 1
LO4 5 5 1 2 4 1 1 1 1 2 2 2
LO5 5 5 1 1 3 1 1 1 1 3 1 1
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Faculty of Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator
Course lecturer(s)
Course assistant(s)
Course description/aim Advanced calculus methods with an engineering perspective.
Course contents
Discussions include but not limited to techniques of integration, first order
differential equations, infinite sequences and series, polar coordinates, vectors,
partial derivatives of functions of several variables, multiple integrals.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Take trigonometric integrals Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Explain infinites sequences and series Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Explain parametric equations, polar
coordinates and vectors
Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Take partial derivatives of functions of
several variables
Lecture, Lecture with
Discussion
Midterm and Final
Exams
5 Take multiple integrals Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1
8. Techniques of Integration:
8.1 Integration by Parts, 8.2 Trigonometric Integrals, 8.3
Trigonometric Substitutions
Textbook/ Lecture
Notes
4
2 8.4 Integration of Rational Functions by Partial Fractions, 8.6
Numerical Integration, 8.7 Improper Integrals
Textbook/ Lecture
Notes
4
3
9. First-Order Differential Equations:
9.1 Solutions, Slope Fields, and Euler's Method
9.2 First-Order Linear Equations
Textbook/ Lecture
Notes
4
4 9.3 Applications, 9.4 Graphical Solutions of Autonomous Textbook/ Lecture 4
Course
Code MAT 122
Course
Name Mathematics II
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 2 English 4 0 0 4 7
COURSE INFORMATION
Equations, 9.5 Systems of Equations and Phase Planes Notes
5
10. Infinite Sequences and Series:
10.1 Sequences, 10.2 Infinite Series, 10.3 The Integral Test, l0.4
Comparison Tests
Textbook/ Lecture
Notes
4
6 10.5 The Ratio and Root Tests, 10.6 Alternating Series, Absolute
and Conditional Convergence, 10.7 Power Series,
Textbook/ Lecture
Notes
4
7
10.8 Taylor and Maclaurin Series, 10.9 Convergence of Taylor
Series, 10.10 The Binomial Series and Applications of Taylor
Series
Textbook/ Lecture
Notes
4
8 Midterm Exam 2
9
11. Parametric Equations and Polar Coordinates:
11.1 Parameterizations of Plane Curves, 11.2 Calculus with
Parametric Curves, 11.3 Polar Coordinates
Textbook/ Lecture
Notes
4
10
11.4 Graphing in Polar Coordinates, 11.5 Areas and Lengths in
Polar Coordinates, 11.6 Conic Sections, 11.7 Conics in Polar
Coordinates
Textbook/ Lecture
Notes
4
11
12. Vectors and the Geometry of Space:
12.1 Three-Dimensional Coordinate Systems, 12.2 Vectors
12.3 The Dot Product, 12.4 The Cross Product, 12.5 Lines and
Planes in Space, 12.6 Cylinders and Quadric Surfaces
Textbook/ Lecture
Notes
4
12
14. Partial Derivatives:
14.1 Functions of Several Variables, 14.2 Limits and Continuity in
Higher Dimensions, 14.3 Partial Derivatives, 14.4 The Chain
Rule, 14.5 Directional Derivatives and Gradient Vectors
Textbook/ Lecture
Notes
4
13
14.6 Tangent Planes and Differentials, 14.7 Extreme Values and
Saddle Points, 14.8 Lagrange Multipliers, 14.9 Taylor's Formula
for Two Variables, 14.10 Partial Derivatives with Constrained
Variables
Textbook/ Lecture
Notes
4
14
15. Multiple Integrals:
15.1 Double and Iterated Integrals over Rectangles, 15.2 Double
Integrals over General Regions, 15.3 Area by Double Integration,
15.4 Double Integrals in Polar Form
Textbook/ Lecture
Notes
4
15
15.5 Triple Integrals in Rectangular Coordinates, 15.6 Moments
and Centers of Mass, 15.7 Triple Integrals in Cylindrical and
Spherical Coordinates
Textbook/ Lecture
Notes
4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
Thomas' Calculus: Global Edition, 12/e by George B. Thomas, Jr., Maurice D. Weir,
and Joel Hass, ISBN -10: 0321643631, ISBN-13: 9780321643636, Published by
Pearson Higher Education ©2010, 1236 pp. packaged with MyMathLab or MyMathLab
stand-alone.
Readings
Supplemental
readings
References http://www.wolframalpha.com
http://www.mathworks.com/academia/student_version/
Evaluation System
COURSE INFORMATION
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 56 1 56
Individual study for
course 10 5 50
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 6 5 30
Individual study for
midterm exams 4 5 20
Individual study for final
exam 4 5 20
Total 181
ECTS Credit(Total/30) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 1 4 1 1 1 1 2 1 1
LO2 5 5 2 1 5 1 1 1 1 3 1 1
LO3 5 5 3 1 3 1 1 1 1 3 1 1
LO4 5 5 1 2 4 1 1 1 1 2 2 2
LO5 5 5 1 1 3 1 1 1 1 3 1 1
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department :
Prerequisites/Requirements
for Admission :
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : To have students comprehend well the physics related to mechanics.
Course contents : Measurement and Unit Systems, Vectors, Statics, Kinematics, and Dynamics.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Analyzes the static, kinematic and dynamic
processes.
Lectures Homeworks and Exams
2 Makes solution to the problems related to
static, kinematic and dynamic processes.
Lectures Homeworks and Exams
3 Applies these processes to other disciplines in
physics.
Lectures Homeworks and Exams
4 Proposes new models for the static, kinematic
and dynamic systems.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Units and Measurements 3
2 Physical Quantities and Vectors 3
3 Motion Along a Straight Line 3
4 Motion in Two and Three Dimensions 3
5 Newton’s Law of Motion 3
6 Applications of Newton’s Law 3
7 Work 3
8 Kinetic Energy 3
9 Potential Energy and Energy Conservation 3
10 Momentum, Impulse and Collisions 3
11 Midterm Exam 3
12 Rotation of Rigid Bodies 3
Course
Code PHY 101
Course
Name PHYSICS 101
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelors 1st English 3 2 0 4 7
COURSE INFORMATION
2
13 Dynamics of Rotational Motion 3
14 Gravitation 3
15 Periodic Motion 3
16 Final Exam 4
17 Final Exam
Sources
Course
notes/textbooks
: Physics for Scientist & Engineers with Modern Physics, D. Giancoli, Fourth Edition
and Lecture Notes.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 15
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 45
Total 100
Percentage of semester work 55
Percentage of final exam 45
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 5 3 15
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 10 5 50
Individual study for
midterm exams 5 5 25
Individual study for final
exam 7 5 35
Total 174
COURSE INFORMATION
3
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 1 1 1 2 3 1 2
LO2 4 3 4 4 4 1 1 1 2 3 1 3
LO3 5 4 5 5 5 1 1 1 3 3 1 4
LO4 3 2 3 4 5 1 1 1 2 3 1 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department :
Prerequisites/Requirements
for Admission :
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : To have students gained the background for electricity and magnetism necessary in
the engineering education.
Course contents
:Coulomb’s force, the electric field, electric flux, Gauss law, electric potential,
capacitors, current and resistivity, direct current circuits, Kirchhoff’s rules,
magnetic field, Biot-Savart’s law, Ampere’s law, induction, Faraday’s law,
Lenz’s law, inductance, energy in magnetic field, oscillations in the LC circuit,
electromagnetic waves.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Analyze the electrical charge and being
neutral.
Lectures Homeworks and Exams
2 Analyze the forces and electric fields
produced by charged systems.
Lectures Homeworks and Exams
3 Determine the technological uses of the
capacitors.
Lectures Homeworks and Exams
4 Make analysis about the electrical current and
conductivity.
Lectures Homeworks and Exams
5 Understand how magnetic forces and fields
are produced.
Lectures Homeworks and Exams
6 Apply the electromagnetic induction, Faraday
and Lenz law to electrical circuits.
Lectures Homeworks and Exams
7 Analyze the alternating and direct current
circuits.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Electric Charge and Electric Field 3
2 Gauss’s Law 3
Course
Code PHY 102
Course
Name PHYSICS 102
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelors 2nd
English 3 2 0 4 7
COURSE INFORMATION
2
3 Electrical Potential 3
4 Capacitance and Dielectrics 3
5 Current, Resistance, and Electromotive Force 3
6 Direct Current Circuits 3
7 Magnetic Field 3
8 Magnetic Forces 3
9 Sources of Magnetic Field 3
10 Midterm Exam 3
11 Electromagnetic Induction 3
12 Inductance 3
13 Alternating Current 3
14 The Applications of Alternating Current 3
15 Electromagnetic Waves 3
16 Final Exam 4
17 Final Exam
Sources
Course
notes/textbooks
: Physics for Scientist & Engineers with Modern Physics, D. Giancoli, Fourth Edition
and Lecture Notes.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 15
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 45
Total 100
Percentage of semester work 55
Percentage of final exam 45
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for 8 3 24
COURSE INFORMATION
3
course
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 10 5 50
Individual study for
midterm exams 4 5 20
Individual study for final
exam 7 5 35
Total 178
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 1 1 1 2 3 1 2
LO2 4 3 4 4 4 1 1 1 2 3 1 3
LO3 5 4 5 5 5 1 1 1 3 3 1 4
LO4 3 2 3 4 5 1 1 1 2 3 1 2
LO5 4 3 4 4 4 1 1 1 3 3 1 3
LO6 5 4 5 5 5 1 1 1 4 3 1 4
LO7 3 2 3 4 5 1 1 1 4 3 1 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department Prerequisites/Requirements for Admission
Not Available
Mode of delivery Lecture, presentation, demonstration Course coordinator Course lecturer(s) Bilge GÜLER , Prof. Dr. Ertuğrul Yaman Course assistant(s) -
Course description/aim The aim of this course is to make students understand, comment and analyze the principles based on Turkish language
Course contents
Description of Language, Features of Language, Relation of language, Nation, Idea and Relation of Language and Culture, Languages on earth, Historical development of Turkish, The place of Turkish among the other languages and interaction with the other languages, Language revolution of Atatürk, Language understanding of Atatürk and his works related to language, Sound features of Turkish, Orthography and punctuation marks, lexical item.
Recommended optional program components
-
Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are accepted as unsuccessful
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to: 1. Define the language and it’s components Lecture, question and
answer Written exam
2. Interpret the place of Turkish among the other languages and explain its development.
Lecture, question and
answer
Written exam
3. Interpret the effects of other languages on Turkish and analyze it.
Lecture, question and
answer
Written exam
4. Explain the importance and meaning of language revolution.
Lecture, question and
answer
Written exam
5. Evaluate the sound features of Turkish, the importance and place of using orthography and punctuation marks on language
Lecture, question and
answer
Written exam
Course
Code TUR101
Course
Name TURKISH LANGUAGE I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 1 Turkish 2 0 - 2 2
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Description of Language Textbook /Lecture
notes 2
2 Features of Language Textbook /Lecture
notes 2
3 Relation of Language, Nation, Idea Textbook /Lecture
notes 2
4 Relation of Language and Culture Textbook /Lecture
notes 2
5 Languages on earth Textbook /Lecture
notes 2
6 Historical development of Turkish Textbook /Lecture
notes 2
7 Recap Textbook /Lecture
notes 2
8 Midterm Textbook /Lecture
notes 2
9 The place of Turkish among the other languages and interaction with the other languages
Textbook /Lecture notes
2
10 Language revolution of Atatürk Textbook /Lecture
notes 2
11 Language understanding of Atatürk and his works related to language
Textbook /Lecture notes
2
12 Language understanding of Atatürk and his works related to language
Textbook /Lecture notes
2
13 Sound features of Turkish Textbook /Lecture
notes 2
14 Orthography and punctuation marks, lexical item Textbook /Lecture
notes 2
15 Recap Textbook /Lecture
notes 2
16 Final Exam Textbook /Lecture
notes 2
17 Final Exam
Sources
Course notes/textbooks
: Visual and audial materials published by Turkish Language Association
Readings : Supplemental readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance Quizzes Homework
COURSE INFORMATION
Presentation Laboratory/Practice Report(s) Graduate Thesis/Project Seminar Projects Midterm exam(s) 1 40 Others Final exam 1 60
Total 100 Percentage of semester work 40
Percentage of final exam 60 Total 100
Workload
Type Number Time (hours) Total Workload
Class Duration 14 2 28 Individual Study 10 1 10 Midterm(s) 1 2 2 Final 1 2 2 Individual Study for Projects
Individual Study for Midterm(s)
2 2 4
Individual Study for Final 2 2 4 Total 50
ECTS (Total/25.5) 2
MATRIX OF COURSE LEARNING OUTCOMES VERSUS PROGRAM OUTCOMES
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 1 3 3 1 1 1 1 1 1 4 1 4
LO2 1 3 2 1 1 1 1 1 1 4 1 4
LO3 1 4 3 1 1 1 1 1 1 3 1 4
LO4 1 5 3 1 1 1 1 1 1 4 1 5
LO5 1 5 3 1 1 1 1 1 1 4 1 5
Contrubition level : 1 Lowest, 2 Low, 3 Average , 4 High, 5 Highest
COURSE INFORMATION
Department Prerequisites/Requirements for Admission
Not Available
Mode of delivery Face to Face Course coordinator - Course lecturer(s) Bilge GÜLER, Prof. Dr. Ertuğrul Yaman Course assistant(s) -
Course description/aim The aim of this course is to make students understand, comment and analyse on principles based on Turkish language
Course contents
Description of Language, Features of Language, Relation of Language, Nation, Idea and Relation of Language and Culture, Languages on earth, Historical development of Turkish, The place of Turkish among the other languages and interaction with the other languages, Language revolution of Atatürk, Language understanding of Atatürk and his works related to language, Sound features of Turkish, Orthography and punctuation marks, lexical item.
Recommended optional program components
Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are accepted as unsuccessful
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to: 1. Describe the language and the components
of it. Lecture, Question and
answer Written exam
2. Interpret the place of Turkish among the other languages and explain its development.
Lecture, Question and answer
Written exam
3. Interpret the effects of other languages on Turkish and analyze it.
lecture, Question and answer, Discussion
Written exam
4. Explain the importance and meaning of language revolution.
Lecture, Question and answer
Written exam
5. Evaluate the sound features of Turkish, the importance and place of using orthography and punctuation marks on language.
Lecture, Question and answer
Written exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Description of Language Textbook /Lecture
notes 2
Course
Code TUR102
Course
Name Turkish Language 2
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 2 Turkish 2 0 - 2 2
COURSE INFORMATION
2 Features of Language Textbook /Lecture
notes 2
3 Relation of Language, Nation, Idea Textbook /Lecture
notes 2
4 Relation of Language and Culture Textbook /Lecture
notes 2
5 Languages on earth Textbook /Lecture
notes 2
6 Historical development of Turkish Textbook /Lecture
notes 2
7 Recap Textbook /Lecture
notes 2
8 Midterm exam Textbook /Lecture
notes 2
9 The place of Turkish among the other languages and interaction with the other languages
Textbook /Lecture notes
2
10 Language revolution of Atatürk Textbook /Lecture
notes 2
11 Language understanding of Atatürk and his works related to language
Textbook /Lecture notes
2
12 Language understanding of Atatürk and his works related to language
Textbook /Lecture notes
2
13 Sound features of Turkish Textbook /Lecture
notes 2
14 Orthography and punctuation marks, lexical item Textbook /Lecture
notes 2
15 Recap Textbook /Lecture
notes 2
16 Final Exam Textbook /Lecture
notes 2
17 Final Exam Sources
Course notes/textbooks
: Visual and audial materials published by Turkish Language Association
Readings : Supplemental readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance Quizzes Homework Presentation Laboratory/Practice Report(s) Graduate Thesis/Project Seminar Projects Midterm exam(s) 1 40
COURSE INFORMATION
Others Final exam 1 60
Total 100 Percentage of semester work 40
Percentage of final exam 60 Total 100
Workload
Type Number Time (hours) Total Workload
Class Duration 14 2 28 Midterm(s) 1 2 2 Final 1 2 2 Individual Study for Midterm(s)
4 2 8
Individual Study for Final 3 3 9 Total 49
ECTS (Total/25.5) 2
MATRIX OF COURSE LEARNING OUTCOMES VERSUS PROGRAM OUTCOMES
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 1 3 3 1 1 1 1 1 1 4 1 4
LO2 1 3 2 1 1 1 1 1 1 4 1 4
LO3 1 4 3 1 1 1 1 1 1 3 1 4
LO4 1 5 3 1 1 1 1 1 1 4 1 5
LO5 1 5 3 1 1 1 1 1 1 4 1 5
Contrubition level: 1 Lowest, 2 Low, 3 Average , 4 High, 5 Highest
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) : Assistant Prof. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
Combination of Materials Sci. and Manufacturing Methods with an emphasis on
mechatronics applications.
At the end of this course, the students will have working knowledge about the
structure, synthesis and applications of various engineering materials including metals
and their alloys, polymers, ceramics and composites. Students will also acquire
working knowledge on traditional manufacturing methods such as casting, forming,
shaping, joining, machine tools and machining of metals and their alloys.
Course contents
Materials Sci. portion covers: Intro and type of engineering materials, Atomic
structure and bonding, Crystal and amorphous materials, Solidification and crystalline
imperfections, Mechanical Properties of Metals (process, stress/strain diagram and
tensile test, hardness, plastic deformation, Strengthening mechanisms, Recovery and
Recrystallization, Fracture, Fatigue, Creep), Phase diagrams, Engineering alloys
(types of Iron and steel, iron/carbon system, heat treatment, aluminum, copper,
magnesium, titanium, nickel), Polymers, Ceramics, Composites, Electronic materials,
Magnetic materials, Photonic materials.
Manufacturing Methods portion covers: Intro, metal casting, forming and shaping
(rolling, forging, extrusion, sheet metal, powder metallurgy, ceramics, plastics,
composites), rapid prototyping, fundamentals of machining processes and machine
tools, micro-manufacturing and fabrication of microelectronic devices (MEMS),
joining processes, surface technology, automation of manufacturing processes and
operations, introductory CAM and computer integrated manufacturing systems.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. A good understanding of the
atomic structure and how it
constitutes various engineering
materials and the physical
microstructure/property
relationship
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
2. A good understanding of the
meaning and importance of
mechanical properties of metals
Face to face lecturing, reading
assignments, group research
assignments, in-class group
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Course
Code MCH 202
Course
Name
Materials Science & Manufacturing Methods in Mechatronics
Engineering
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 4 English 4 0 2 5 6
COURSE INFORMATION
2
in different working
environments and how to
assess them by standard test
methods
discussions
3. Working knowledge in design
of metallic alloys through use
of phase diagrams
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
4. Working knowledge on
properties and use of polymers,
ceramics, composites,
electronic materials, magnetic
materials and photonic
materials in engineering
applications
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
5. Working knowledge on metal
casting, forming and shaping
processes
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
6. Working knowledge on
machining processes and machine
tools
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
7. Working knowledge on MEMS
and their fabrication methods
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
8. Working knowledge on joining
processes and related equipment
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
9. A good understanding of surface
technology, its importance in
product design and its relationship
with various manufacturing
techniques
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
10. An introduction to computer
integrated manufacturing and
related systems
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Intro and type of engineering materials, Atomic structure and
bonding, Crystal and amorphous materials
Textbook/Lecture
Notes/Supplemental
website of textbook
4
2 Solidification and crystalline imperfections
Textbook/Lecture
Notes/Supplemental
website of textbook
4
3 Mechanical Properties of Metals (process, stress/strain
diagram and tensile test, hardness, plastic deformation,
Textbook/Lecture
Notes/Supplemental
4
COURSE INFORMATION
3
Strengthening mechanisms, Recovery and Recrystallization,
Fracture, Fatigue, Creep)
website of textbook
3’ Lab test: Tension-Compression 2
4
Mechanical Properties of Metals (process, stress/strain
diagram and tensile test, hardness, plastic deformation,
Strengthening mechanisms, Recovery and Recrystallization,
Fracture, Fatigue, Creep)
Textbook/Lecture
Textbook/Lecture
Notes/Supplemental
website of textbook
4
4’ Lab test: Torsion 2
5
Phase diagrams, Engineering alloys (types of Iron and steel,
iron/carbon system, heat treatment, aluminum, copper,
magnesium, titanium, nickel)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
5’ Lab test: Hardness 2
6
Phase diagrams, Engineering alloys (types of Iron and steel,
iron/carbon system, heat treatment, aluminum, copper,
magnesium, titanium, nickel)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
7 Midterm exam 3
8 Polymers, Ceramics, Composites, Electronic materials,
Magnetic materials, Photonic materials.
Textbook/Lecture
Notes/Supplemental
website of textbook
4
9
Intro, metal casting, forming and shaping (rolling, forging,
extrusion, sheet metal, powder metallurgy, ceramics,
plastics, composites)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
10
Intro, metal casting, forming and shaping (rolling, forging,
extrusion, sheet metal, powder metallurgy, ceramics,
plastics, composites)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
11 Rapid prototyping, fundamentals of machining processes and
machine tools
Textbook/Lecture
Notes/Supplemental
website of textbook
4
12 Fundamentals of machining processes and machine tools
Textbook/Lecture
Notes/Supplemental
website of textbook
4
12’ Lab application: Turning, milling 2
13 Micro-manufacturing and fabrication of microelectronic
devices (MEMS)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14 Joining processes, Surface technology
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14’ Lab application: Arc welding, TIG/MIG welding, brazing 2
15 Automation of manufacturing processes and operations,
CAM and computer integrated manufacturing systems.
Textbook/Lecture
Notes/Supplemental
website of textbook
4
15’ Lab application: CNC programing and rapid prototyping 2
16 Final exam 3
17 Final exam
COURSE INFORMATION
4
Sources
Course
notes/textbooks
: “Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,
Pearson/Prentice Hall; 6th SI ed, 2010, ISBN 978-981-06-8144-9
Readings : Chapters as assigned from the textbook
Supplemental
readings : “The Science & Engineering of Materials”, by D.R. Askeland, P.P. Fulay & W.J. Wright,
Cengage; 6th ed, 2011, ISBN 978-0-495-29602-7
References
: “Engineering Materials I”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096665-6
Engineering Materials II”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096668-7
“Materials Selection in Mechanical Design”, by M.F. Ashby, Butterworth-Heinemann Elsevier;
4th ed, 2011, ISBN 978-1-85617-663-7
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42
Quizzes 6 5%
Homework 10 10%
Laboratory/Practice 6 15%
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects
Midterm exam(s) 1 30%
Others
Final exam 1 40%
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
COURSE INFORMATION
5
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course lecture hours 14 4 56
Course lab hours 6 2 12
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 10 3 30
Individual study for
presentation 0 0 0
Individual study for
project 0 0 0
Individual study for
midterm exams 1 20 20
Individual study for final
exam 1 29 29
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) : Assistant Prof. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
: At the end of this course the students; will be competent in the language of technical
drawing, will have an in depth understanding of computer aided design techniques
and the related CAD software in mechanical components and their assemblies, will
have the basic and required ability to communicate through free hand sketching, will
have a good command of international codes and standards in mechanical design,
know how to model and assembly working models of mechanisms and carry out
basic kinematic analysis, know how to document and present their work efficiently,
integrate their technical knowledge and skills acquired in the course of their education
through ethical principles, understand the principles of engineering project
management.
Course contents
: A combination of technical drawing and computer aided electro-mechanical systems
design.
Classical technical drawing portion covers: Fundamentals of graphic language for
design, technical sketching and related techniques, orthographic projection, partial
views, section views, auxiliary views, dimensioning, tolerancing, representation of
machine elements (threads, fasteners, springs, gears, cams, etc.), working drawings,
axonometric projection, perspective drawings, electronic drawings, free hand
sketching.
CAD portion covers: Fundamentals of mechanical components (machine elements)
and systems design (3D modeling) by SolidWorks to include mechanical assemblies,
mechanism design and kinematic analysis, 2D detailed technical drafting by
SolidWorks and practice of geometric tolerances and surface quality markings,
electronic schematic diagrams and PCB design by a specialized computer package.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course
Code MCH 203
Course
Name Elements of Design for Mechatronics Engineering I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 3 English 4 0 2 5 6
COURSE INFORMATION
2
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. A good understanding of the
principles of “mechanical
engineering design process” in
mechatronics applications
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
2. Working in-depth knowledge in
the language of technical drawing
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
3. Working in-depth knowledge in
the related CAD software
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
4. Working in-depth knowledge in
state-of-the-art industrial practices
of mechanical, materials and
manufacturing standards and their
use in detailed technical drawings
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
5. Basic ability to realize perspective
and orthographic view free hand
sketching of common geometries
and standard machine elements
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
6. Competence in the use of state-of-
the-art CAD/CAM/CAE tools for
embodiment and detailed design
through intense modeling and
simulation efforts
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
7. Conforming to team work
environment
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
8. Acquiring of project management
skills
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
9. Acquiring of effective technical
communication and presentation
skills
Face to face lecturing, reading
assignments, lab practice,
homeworks, group and individual
project(s)
Quizzes, homeworks, projects,
hand written and computer based
exams
COURSE INFORMATION
3
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1
Chp1: Introduction to language of technical drawing and
mechanical design process
� Reading assignment for QUIZ
Textbook/Lecture
Notes
4
1’ Introduction to SolidWorks user interface and 3D modeling by
extrusion
Textbook/Supplemental
books/Internet
2
2 Chp2: Projections, types of lines, scales in drawing, intro to hand
sketching and the common tools
Textbook/Lecture
Notes
4
2’ 3D model by revolution Textbook/Lecture
Notes
2
3
Chp3: Types of solid objects, edge & vertex, types of lines, angles,
four types of projection, isometric & oblique free hand sketching,
2D free hand sketching
Textbook/Lecture
Notes
4
3’ Additional part modeling techniques; mirroring, patterning Textbook/Lecture
Notes
2
4 Chp4: Geometry review, formal techniques to use hand sketching
tools effectively, 2D formal sketching
Textbook/Lecture
Notes
4
4’ Advanced part modeling; loft, shell, sweep, helix Textbook/Lecture
Notes
2
5 Chp5: Orthographic projection Textbook/Lecture
Notes
4
5’ Parametric modeling techniques Textbook/Lecture
Notes
2
6 Chp6: 2D drawings, common hole features Textbook/Lecture
Notes
4
6’ Creation of assembly models, Hole Wizard Textbook/Lecture
Notes
2
*** Announcement of individual or group project guidelines
7 Midterm exam 3
7’ Students decide on individual or group project and submit
proposal to instructor
8 Chp7: Section views
Chp8: Auxiliary views
Textbook/Lecture
Notes
4
8’ Advanced assembly operations Textbook/Lecture
Notes
2
*** Chp9: Manufacturing processes
� Reading assignment for QUIZ
Textbook/Lecture
Notes
9 Chp10: Dimensioning (real parts display from industry for surface
roughness)
Textbook/Lecture
Notes
4
9’ 2D engineering drawing generation in SolidWorks Textbook/Lecture
Notes
2
10 Chp11: Tolerancing (real parts display from industry for fitting
systems)
Textbook/Lecture
Notes
4
10’ Assembly drawings, BOM generation Textbook/Lecture
Notes
2
11 Chp13: Working drawings (intro to Certified SolidWorks
Associate Exam)
Textbook/Lecture
Notes
4
11’ Solution of vector problems using SolidWorks Textbook/Lecture
Notes
2
12 Chp12: Threads (bolt & nut hand sketching), Fasteners, Springs Textbook/Lecture 4
COURSE INFORMATION
4
(real parts display from industry) Notes
12’ Analysis of mechanisms using motion simulation Textbook/Lecture
Notes
2
13 Chp12: Threads (bolt & nut hand sketching), Fasteners, Springs
(real parts display from industry)
Textbook/Lecture
Notes
4
13’ Working drawings (intro to Certified SolidWorks Associate Exam) Textbook/Lecture
Notes
2
14 Chp17: Gears & Cams (real parts display from industry) Textbook/Lecture
Notes
4
14’ Working drawings (intro to Certified SolidWorks Associate Exam) Textbook/Lecture
Notes
2
15 Chp17: Gears & Cams (real parts display from industry) Textbook/Lecture
Notes
4
15’ *** Submission of project ***
16 Final exam 3
17 Final exam
Sources
Course
notes/textbooks
: “Technical Drawing with Engineering Graphics”, by F.E Giesecke, Pearson, 14th international
ed, 2012, ISBN 978-0-13-272971-0
“Introduction to Solid Modeling Using SolidWorks 2011”, by W.E. Howard & J.C. Musto,
McGraw-Hill, 2012, ISBN 978-0-07-337545-4
Readings : Chapters as assigned from the textbooks
Supplemental
readings
References
:”Engineering Drawing and Design”, by David Madsen, Delmar Cengage Learning; 5th ed,
2011, ISBN 978-1111321833
“Engineering Drawing & Design”, by Cecil Jensen, McGraw-Hill Science/Engineering/Math;
7th ed, 2007, ISBN 978-0073521510
“SolidWorks 2011 for Designers”, by S. Tickoo, CADCIM, 2011, ISBN 978-1-932709-89-6
Evaluation System
Work Placement Number Percentage of Grade
Attendance 14
Quizzes 2 5%
Homework 10 15%
Laboratory/Practice 14
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects 1 15%
Midterm exam(s) 1 25%
Others
Final exam 1 40%
Total 100
COURSE INFORMATION
5
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course lecture hours 14 4 56
Course lab hours 14 2 28
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 10 3 30
Individual study for
presentation 0 0 0
Individual study for
project 1 10 10
Individual study for
midterm exams 1 5 5
Individual study for final
exam 1 8 8
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : Physics
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: Main objective of this course is to give the students an ability to analyze the
mechanical structures in static equilibrium, and to make strength analysis of
mechanical structures under different loading conditions. This course also
aims to introduce students with the mathematical description of the plane
motion of particles and rigid bodies. The relation between force and motion is
studied in detail.
Course contents
: Two main parts; statics and strength of materials. Idealizations and principles
of mechanics and vector quantities are summarized. Classification and
equivalence of force systems, state of equilibrium, elements of structures,
trusses, beams, moment of inertia, and friction are described in the statics part.
Concepts of stress and strain, simple loading; tension, torsion and bending,
deflections with simple loadings, and superposition techniques are described in
the strength of materials part. Statically indeterminate members, thermal
stresses, combined stresses, Mohr's circle, and combined loadings.
Two main sections of dynamics; Particles and Rigid Bodies are described with
respect to planar motions. Each section has two parts; kinematics and kinetics.
Methods of Newton’s second law, work energy and impulse-momentum are
emphasized.
Recommended optional
program components : --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Design basic structures/systems which are
under the static equilibrium.
Lectures Homeworks and Exams
2 Formulate and solve mathematical models of
static structures/systems.
Lectures Homeworks and Exams
3 Analyze structural and strength components
of all design products including both
conventional and mechatronics.
Lectures Homeworks and Exams
4 Apply design techniques to create
mechatronic systems
Lectures Homeworks and Exams
5 Work individually or in a group for solving
mechatronic design problems.
Lectures Homeworks and Exams
6 Analyze, formulate, and solve engineering Lectures Homeworks and Exams
Course
Code MCH204
Course
Name Engineering Mechanics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 4th
English 3 0 0 3 5
COURSE INFORMATION
dynamics problems.
7 Design basic dynamic structures/systems. Lectures Homeworks and Exams
8 Understand the relation between force and
motion to become familiar with the basic
mathematical concepts such as integration
and differentiation.
Lectures Homeworks and Exams
9 Understand basic principles of dynamics prior
to machine design courses.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Idealizations and principles of mechanics 3
2 Vectors and vector operations 3
3 Classification and equivalence of force systems 3
4 Moment of inertia 3
5 Friction 3
6 Concepts of stress and strain 3
7 Simple loading; tension, torsion and bending 3
8 Mid-term Examination 3
9 Statically indeterminate members 3
10 Thermal stresses 3
11 Mohr’s circle 3
12 Newton’s Law of Motion 3
13 Work and Energy 3
14 Impulse and Momentum 3
15 Dynamics of Rigid Bodies 3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: Engineering Mechanics: Statics and Dynamics, J. Lakshminarasimhan, Raju
Sethuraman, 2004., and Lecture Notes.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
COURSE INFORMATION
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 3 12
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 6 5 30
Individual study for
midterm exams 3 4 12
Individual study for final
exam 6 4 24
Total 127
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 1 4 3 3 2
LO2 4 3 4 4 4 5 3 2 3 3 3 3
LO3 5 4 5 5 5 5 4 1 4 3 3 4
LO4 3 2 3 4 5 3 3 1 4 3 3 2
LO5 3 3 5 4 4 4 3 1 4 3 3 2
LO6 3 3 4 5 5 3 3 1 3 3 3 3
LO7 3 3 4 4 4 5 4 2 3 3 3 3
LO8 5 3 3 3 3 3 4 2 3 4 4 4
LO9 5 3 4 3 3 3 4 2 3 4 3 3
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Aeronautical Engineering Prerequisites/Requirements for Admission
: None
Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : None
Course description/aim : In this course, basic principles of fluid mechanics, fundamental conservation laws and types of fluid flow are covered.
Course contents :Introduction, Fluid Statics, Fluid Kinematics, Governing Integral Equations of Fluid Flow, Governing Differential Equations of Fluid Flow, Fluid Flow in Pipes
Recommended optional program components
: None
Attendance : Compulsory
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. Knowledge of fluid concept and classification of the flow types should be gained
Lectures Standardized Examinations, Short Examinations
2. Calculating the hydrostatic forces and moments over submerged bodies
Lectures Standardized Examinations, Short Examinations
3. Understanding the conservation laws of fluid flow
Lectures Standardized Examinations, Short Examinations
4. Understanding the control volume concept and Reynold’s transport theorem
Lectures Standardized Examinations, Short Examinations
5. Basic knowledge of moody diagrams and pipes flow equations should be learned.
Lectures Standardized Examinations, Short Examinations
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction: Definitions, Dimensions and units, Fluid as a continuum, Fluid properties, Newtonian fluids, Standard atmosphere
Lecture Notes and Textbook
3
2 Fluid Statics: Equation for pressure field Measurement of fluid pressure
Lecture Notes and Textbook
3
3 Fluid Statics: Lecture Notes and 3
Course
Code AEE 204
Course
Name Introduction to Fluid Mechanics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 4 English 3 0 0 3 6
COURSE INFORMATION
Hydrostatic pressure Textbook
4 Fluid Statics: Buoyancy, floatation and stability
Lecture Notes and Textbook
3
5 Fluid Statics: Fluid in rigid body motion
Lecture Notes and Textbook
3
6 Governing Integral Equations of Fluid Flow: Closed and Open Systems Reynolds Transport Theorem
Lecture Notes and Textbook
3
7 Governing Integral Equations of Fluid Flow: Conservation of Mass Conservation of Linear Momentum
Lecture Notes and Textbook
3
8 Midterm Exam
9 Governing Integral Equations of Fluid Flow: Conservation of Angular Momentum Conservation of Energy
Lecture Notes and Textbook
3
10 Governing Integral Equations of Fluid Flow: Bernoulli Equation Static, stagnation, dynamic and total pressure
Lecture Notes and Textbook
3
11 Governing Differential Equations of Fluid Flow: Conservation of Mass
Lecture Notes and Textbook
3
12 Governing Differential Equations of Fluid Flow: Navier-Stokes Equations
Lecture Notes and Textbook
3
13 Governing Differential Equations of Fluid Flow: Couette Flow Poiseuille Flow
Lecture Notes and Textbook
3
14 Fluid Flow in Pipes: Turbulance Friction Factor and Moody Charts
Lecture Notes and Textbook
3
15 Fluid Flow in Pipes: Losses in Pipe Systems
Lecture Notes and Textbook
3
16 Final Exam 3 17 Final Exam
Sources
Course notes/textbooks
: Y.A. Cengel and J. Cimbala, “Fluid Mechanics: Fundamentals and Applications”, McGraw Hill Higher Education, 2010.
Readings : Internet research is strongly recommended. Supplemental readings
: None
References : None
Evaluation System
Work Placement Number Percentage of Grade
Attendance Quizzes 5 10 Homework 7 15 Laboratory/Practice Report(s) Graduate Thesis/Project
COURSE INFORMATION
Seminar Presentation Projects Midterm exam(s) 1 30 Others Final exam 1 45
Total 100 Percentage of semester work 55
Percentage of final exam 45 Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42 Midterm exam(s) 1 3 3 Final exam 1 3 3 Individual study for homework
6 6 36
Individual study for presentation
Individual study for project
Individual study for midterm exams
5 4 20
Individual study for final exam
6 8 48
Total 152 ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 4 1 3 2 5 1 3 1 1 3 5
LO2 3 4 1 1 1 5 1 3 1 1 3 5
LO3 3 4 3 4 2 5 1 3 1 1 3 5
LO4 4 5 3 1 1 5 1 3 1 1 3 5
LO5 3 4 5 1 2 5 1 3 1 1 3 5
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission :
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: The objective of this course is to teach students the notion of an abstract data type
(ADT) which is central to the design and analysis of computer algorithms. This
course introduces abstract data types, and presents algorithms and data structures for
implementing several ADTs. It emphasizes the efficiency of algorithms as evaluated
by asymptotic analysis of running time.
Course contents : The course covers algorithm analysis, linear data structures, trees, priority queues,
hashes, graphs
Recommended optional
program components : None
Compulsory Attendance :
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able:
1 be able to examine the loop structures of either a
recursive or nonrecursive algorithms and infer its
asymptotic running time and express its efficiency
using big-Oh notation
Lectures Quizes, Homeworks,
Exams
2 be able to assess the relative advantages of using
array or linked list implementations in efficiently
solving search problems with concurrent
insertion, and/or deletions on collections of data,
design
Lectures Quizes, Homeworks,
Exams
3 be able to implement efficient computer programs
running at the cost of O (log n) per searching,
insertion and/or deletion of data items by
employing correct variants of tree data structures
covered in the course
Lectures Quizes, Homeworks,
Exams
4 be able to develop efficient applications that
require an order on data items by appropriately
selecting the right sorting algorithm
Lectures Quizes, Homeworks,
Exams
5 be able to describe the usage of various data
structures Lectures Quizes, Homeworks,
Exams
6 be able to explain the operations for maintaining
common data structures Lectures Quizes, Homeworks,
Exams
Course
Code COM201
Course
Name Algorithms and Data Structures I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 3 English 3 0 0 3 5
COURSE INFORMATION
7 be able to design and apply appropriate data
structures for solving computing problems Lectures Quizes, Homeworks,
Exams
8 be able to design simple algorithms for solving
computing problems Lectures Quizes, Homeworks,
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to Data Structures Algorithm Analysis
Techniques Asymptotic Notations
Textbook/ Course
Notes
3
2 Arrays and Simple Sorting Algorithms: Bubble Sort, Selection
Sort, Insertion Sort
Textbook/ Course
Notes
3
3 Recursive Algorithm Design and Analysis Textbook/ Course
Notes
3
4 Abstract Data Types Arrays and Contiguous Allocation Textbook/ Course
Notes
3
5 Linked Lists and Dynamic Allocation Textbook/ Course
Notes
3
6 Stacks and Queues Textbook/ Course
Notes
3
7 Application of Stacks and Queues: Expression Evaluation Textbook/ Course
Notes
3
8 Midterm Exam Textbook/ Course
Notes
2
9 Introduction to Trees Binary Trees - Representation and
Traversal
Textbook/ Course
Notes
3
10 Binary Search Trees Textbook/ Course
Notes
3
11 Balanced Search Trees Textbook/ Course
Notes
3
12 Tables and Priority Queues Textbook/ Course
Notes
3
13 Hashing Textbook/ Course
Notes
3
14 Graphs Textbook/ Course
Notes
3
15 Graph Traversals Textbook/ Course
Notes
3
16 Final Textbook/ Course
Notes
2
17 Final
Sources
Course
notes/textbooks
: Carrano, F. M., Data Abstraction & Problem Solving with C++: International
Edition, 5/e, Pearson, 2007.
Readings :
Supplemental : Deitel, P., Deitel, H., C++ How to program: International Edition, 8/e, Prentice Hall,
COURSE INFORMATION
readings 2012.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 10
Homework 5 20
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 10 3 30
Midterm exam(s) 1 2 2
Final exam 1 2 2
Individual study for
homework 5 4 20
Individual study for
midterm exams 4 4 16
Individual study for final
exam 3 4 12
Total 124
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 2 2 4 5 4 2 3 5 5 3 4
LO2 3 2 4 3 3 2 2 2 3 2 3 2
LO3 2 3 2 3 2 4 4 3 2 3 2 3
LO4 2 5 2 2 3 2 4 4 4 2 4 4
LO5 2 4 5 4 3 3 2 2 4 3 3 3
LO6 3 2 4 3 3 2 2 2 3 2 3 2
LO7 2 3 2 3 2 4 4 3 2 3 2 3
LO8 2 5 2 2 3 2 2 4 2 2 2 3
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission : COM201
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) : N/A
Course description/aim
: Aim of this course is to introduce basic algorithms, algorithm analysis, and
complex data structures. The course covers basic algorithms such as sorting,
hashing, trees, search trees and graphs.
Course contents : Algorithm analysis, sorting algorithms, trees and specialized trees (e.g.
search trees and binary trees), priority queues and heaps, graphs and hashing
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 Analyze complex algorithms using
asymptotic notation
Lectures Homework, Quizzes,
Exams
2 Will be proficient at analyzing sorting
algorithms
Lectures Homework, Quizzes,
Exams
3 Apply complex data structures to their
programs\projects
Lectures Homework, Quizzes,
Exams
4 Approximate running times of programs that
consists of complex data structures
Lectures Homework, Quizzes,
Exams
5 Apply graph-based solutions to complex
problems
Lectures Homework, Quizzes,
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Algorithm analysis (Asymptotic Notation ) Course Book &
Notes
3
2 Algorithm analysis (Amortized Analysis) Course Book &
Notes
3
3 Sorting (Bubble sort, Quicksort, Mergesort) Course Book &
Notes
3
4 Sorting (Sorting in Linear Time) Course Book &
Notes
3
5 Trees (Basic Trees, Binary Trees, Search Trees) Course Book & 3
Course
Code COM202
Course
Name Algorithms and Data Structures II
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 4 English 3 0 0 3 6
COURSE INFORMATION
Notes
6 Trees (Red-Black Trees, A and A+ trees) Course Book &
Notes
3
7 Queues Course Book &
Notes
3
8 Midterm Exam 2
9 Heaps Course Book &
Notes
3
10 Balanced search Trees Course Book &
Notes
3
11 Graphs (Basics of Graphs) Course Book &
Notes
3
12 Graphs (Graph Theory and analysis) Course Book &
Notes
3
13 Recitation Course Book &
Notes
3
14 Hashing (Basic) Course Book &
Notes
3
15 Hashing (Practical hashing applications) Course Book &
Notes
3
16 Final Exam 2
17 Final Exam
Sources
Course
notes/textbooks
: Carrano, F. M., Data Abstraction & Problem Solving with C++: International
Edition, 5/e, Pearson, 2007.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 10
Homework 5 20
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
COURSE INFORMATION
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 3 42
Midterm exam(s) 1 2 2
Final exam 1 2 2
Individual study for
homework 5 6 30
Individual study for
midterm exams 4 3 12
Individual study for final
exam 4 5 20
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 2 2 3 3 4 5 2 2 2 4 2
LO2 3 2 2 2 3 3 3 3 2 2 3 3
LO3 5 3 3 2 5 2 3 3 3 3 5 2
LO4 4 2 2 3 4 2 2 2 4 3 4 3
LO5 5 2 2 2 5 4 4 3 5 4 5 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission :
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: The aim of this course, to provide students’ knowledge about inheritance,
polymorphism and interfaces in accordance with developing effective and
flexible object-oriented software, to teach them how to perform unit tests for
object-oriented software, and to help them use object-oriented design patterns
in object-oriented software solutions.
Course contents
: Foundations of Object-Oriented Software Development. Object-Oriented
Modeling using UML (Unified Modeling Language), Overview of the Java
Language. Inheritance, polymorphism and Interfaces. Transition from basic
structures to Easy To Maintain Software,. Implementation of unit tests. Design
Patterns. Real-time programming. An Integrated Case Study.
Recommended optional
program components :
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 understand the basic structures for expressing
problem solutions in object-oriented approach
Lectures Quizzes, exams and
project
2 express object-oriented solutions in a standard
notation
Lectures Quizzes, exams and
project
3 produce flexible object-oriented solutions
using inheritance, polymorphism, and
interfaces effectively
Lectures Quizzes, exams and
project
4 choose the most effective object-oriented
solution to a problem
Lectures Quizzes, exams and
project
5 perform unit testing of object-oriented
solutions
Lectures Quizzes, exams and
project
6 understand and apply the basic concepts of
design patterns
Lectures Quizzes, exams and
project
7 choose the most appropriate design patterns
for expressing the object-oriented solution
Lectures Quizzes, exams and
project
8 apply what they have learned in job-oriented
problems
Lectures Quizzes, exams and
project
9 prepare detailed technical reports covering all
phases from the solution of problems in
object-oriented way to testing
Lectures Quizzes, exams and
project
Course
Code COM203
Course
Name Object-Oriented Design and Programming
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 3 English 3 0 0 3 5
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1
Foundations of Object-Oriented Software Development:
Software development problems. Contribution of object-
oriented solutions to software development. Overview of
object-oriented software development process.
Textbook 3
2
Object-Oriented Modeling Using UML: Basic principles,
concepts and structures of the Object-oriented modeling. The
most commonly used UML notations: use case, class, object
and successor-interaction diagrams. A case study on object-
oriented modeling.
Textbook 3
3
Java Language Overview: Flow control, classes, objects,
object creation and constructivist methods, arrays, the
container classes.
Textbook 3
4
Inheritance, polymorphism, and Interfaces: inheritance,
abstract classes, sub-type super-type relations and
polymorphism, multi-format assignments, interfaces.
Textbook 3
5
Implementation of the selected case studies involving the use
of inheritance, polymorphism, and interfaces with the Java
language.
Textbook 3
6
Transitions from Basic Structures to easy to maintenance
software: Object-oriented coding and documentation
standards. Contracts and constants. Assertions. Canonical
forms of the classes.
Textbook 3
7 Implementation Unit Tests: Object-oriented handling of
exceptions. Unit testing and JUnit implementation tool.
Textbook 3
8 Midterm Exam 2
9
Design Patterns: Introduction to design patterns. The
classification of design patterns. Introduction of sampled
"Abstract Factory", "Factory Method" and "singleton" patterns
with examples.
Textbook 3
10 Design Patterns: Introduction of "Prototype", "Builder" and
"Observer" patterns with examples.
Textbook 3
11 Introduction of "Command", "Adapter" and "Composite"
patterns with examples.
Textbook 3
12
Design Patterns: the concept of refactoring and transition to
the "Template Method" pattern. Introduction of "Strategy"
pattern with examples. Abstract coupling), and introduction to
"Iterator" pattern.
Textbook 3
13 Design Patterns: the analysis of "Visitor" and "Mediator"
patterns. Overview of other patterns in design pattern catalog.
Textbook 3
14
Real-Time Programming: Thread concept. Defining threads in
Java language, and multi-threaded programming. Thread
synchronization and locks.
Textbook 3
15
A Composite Case-Study: Analysis of the object-oriented
development and pattern applications within the scope of an
example, evaluation of projects.
Textbook 3
16 Final Exam 2
17 Final Exam
COURSE INFORMATION
Sources
Course
notes/textbooks : Object-Oriented Design and Patterns, Horstmann, 2/E, Wiley
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 5
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects 1 25
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 2 2
Individual study for
project 4 3 12
Individual study for
midterm exams 4 4 16
Individual study for final
exam 6 4 24
Total 126
ECTS Credit(Total/25.5) 5
COURSE INFORMATION
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 2 3 2 4 2 3 3 2 4 3 2
LO2 3 2 3 2 3 2 4 3 2 4 1 2
LO3 4 2 4 3 4 2 3 3 2 1 4 3
LO4 4 3 4 3 5 2 4 2 2 4 3 3
LO5 3 4 4 2 4 3 3 2 2 1 3 4
LO6 3 3 3 2 3 2 4 4 3 1 3 3
LO7 4 2 3 3 3 2 4 3 3 2 3 3
LO8 5 2 2 4 4 3 3 2 3 3 4 3
LO9 4 3 3 4 4 3 3 3 3 1 3 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : This course presents the mathematical techniques used in analyzing ac and dc
circuits which will be fundamentals in electronics and systems and control courses.
Course contents
: Mesh and node analysis, energy and power concepts, superposition, source
transformations, mutual inductance, operational amplifiers, zero-state and
zero-input solutions of first and second order circuits, state equations, analysis
of RLC circuits, sinusoidal current and voltage, phasors, power, resonance,
transformators, convolution.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand the basic techniques required to
analyze linear circuits
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Learn the basic linear components in
electronics (resistors, capacitors, inductors,
transformators, and dependent sources)
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Learn the concepts of steady-state and
transient responses
Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Understand the frequency response of a
circuit
Lecture, Lecture with
Discussion
Midterm and Final
Exams
5 Gain the ability to construct state equations
for different topologies
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Basic concepts Textbook/ Lecture
Notes
4
2 Mesh and node analysis Textbook/ Lecture
Notes
4
3 Superposition and source transformations Textbook/ Lecture
Notes
4
Course
Code EEE201
Course
Name Circuit Theory
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Undergrad 3 English 4 0 0 4 6
COURSE INFORMATION
4 Mutual inductance Textbook/ Lecture
Notes
4
5 Operational amplifiers Textbook/ Lecture
Notes
4
6 RL and RC circuits, forced and natural responses Textbook/ Lecture
Notes
4
7 Dynamic responses in circuits with multiple nodes and meshes Textbook/ Lecture
Notes
4
8 Midterm Exam 2
9 State equations Textbook/ Lecture
Notes
4
10 Solution of first order circuits in state space Textbook/ Lecture
Notes
4
11 Analysis of RLC circuits Textbook/ Lecture
Notes
4
12 Sinusoidal current and voltage, phasors Textbook/ Lecture
Notes
4
13 Power analysis and transformators Textbook/ Lecture
Notes
4
14 Topological concepts Textbook/ Lecture
Notes
4
15 Resonance, convolution Textbook/ Lecture
Notes
4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Electric Circuits by James W. Nilsson
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
COURSE INFORMATION
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 56 1 56
Individual study for
course 8 4 32
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 6 5 30
Individual study for final
exam 6 5 30
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 1 4 1 1 3 3 1 1 1
LO2 5 5 1 1 5 3 1 3 1 1 1 1
LO3 5 5 1 1 3 3 1 3 2 2 2 2
LO4 5 5 1 1 4 4 1 3 1 1 1 1
LO5 5 5 1 1 3 3 1 3 1 1 1 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: The aim of this course is to teach the working principles of the elementary
semiconductors (diodes and transistors) and basic electronic stages such as power
sources and amplifiers. It is a fundamental course needed for higher level electronic
courses such as VLSI design and nonlinear electronics.
Course contents
: Basic principles of semiconductor devices, bipolar junction transistors (BJT)
and field effect transistors (FET), switching circuits, transistor biasing, single
stage amplifiers, regulators, cascade amplifiers, differential amplifiers,
frequency response, higher frequency models, feedback and stability,
operational amplifiers, noise in electronic circuits, output stages, power
amplifiers.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand the basic principles of elementary
semiconductor devices
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Gain ability to design and implement basic
electronic circuits
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Understand the concept of noise in electronic
circuits
Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Gain ability to improvise new design
techniques
Lecture, Lecture with
Discussion
Midterm and Final
Exams
5 Be able to follow new technologies in
electronics
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Diodes, small and large signal modeling Textbook/ Lecture
Notes
4
2 Full-wave and half-wave rectifiers, zener diodes, regulators
and limiters
Textbook/ Lecture
Notes
4
Course
Code EEE202
Course
Name Electronic Circuits
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 4 English 4 0 0 4 6
COURSE INFORMATION
3 Bipolar junction transistors (BJTs), Ebers-Moll model Textbook/ Lecture
Notes
4
4 Biasing in BJTs, switching circuits Textbook/ Lecture
Notes
4
5 Small signal modeling of BJTs, single stage amplifiers Textbook/ Lecture
Notes
4
6 Basic principles of field effect transistors (FETs) Textbook/ Lecture
Notes
4
7 Biasing of FETs, small signal modeling of FETs Textbook/ Lecture
Notes
4
8 Midterm exam 2
9 Single stage FET amplifiers, cascade amplifiers Textbook/ Lecture
Notes
4
10 Differential amplifiers and current mirrors Textbook/ Lecture
Notes
4
11 Frequency response of electronic circuits Textbook/ Lecture
Notes
4
12 High frequency models and design considerations Textbook/ Lecture
Notes
4
13 Feedback and stability, oscillators Textbook/ Lecture
Notes
4
14 Noise in electronic circuits Textbook/ Lecture
Notes
4
15 Power amplifiers Textbook/ Lecture
Notes
4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Introduction to Electronic Circuit Design by Richard Spencer and Mohammed Ghausi
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
COURSE INFORMATION
Others
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 56 1 56
Individual study for
course 6 5 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 6 5 30
Individual study for final
exam 6 5 30
Total 151
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 4 5 3 2 5 2 3 1 5
LO2 5 5 1 4 5 3 2 5 2 3 1 5
LO3 5 5 1 4 5 3 2 5 2 3 1 5
LO4 5 5 1 4 5 3 2 5 2 4 4 5
LO5 5 5 1 4 5 3 2 5 2 4 4 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: This course presents the basic tools for the design of the digital circuits. It is a
fundamental course needed for higher level topics such as microprocessors, computer
architecture, VLSI design, digital communications, and digital control.
Course contents
: Binary logic, Boolean algebra and logic gates, simplification at gate level,
synchronous and asynchronous sequential logic, combinational logic, registers
and counters, random access memory and programmable logic.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Gain ability to implement Boolean functions
using logic gates
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Gain ability to design combinational logic
circuits
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Understand basic functions of flip flops Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Analyze and design clocked sequential logic
circuits
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Binary numbers, decimal codes, alphanumeric codes Textbook/ Lecture
Notes
3
2 Binary codes, binary storage, and binary logic Textbook/ Lecture
Notes
3
3 Basic theorems and properties of Boolean algebra, logic gates Textbook/ Lecture
Notes
3
4 Simplification of Boolean functions, the map method Textbook/ Lecture
Notes
3
5 NAND and NOR implementation and other two-level
implementations
Textbook/ Lecture
Notes
3
Course
Code EEE205
Course
Name Logic Design
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Undergrad 3 English 3 0 2 4 7
COURSE INFORMATION
6 Combinational logic, adders, subtractors Textbook/ Lecture
Notes
3
7 Decoders, encoders, and multiplexers Textbook/ Lecture
Notes
3
8 Midterm Exam 2
9 Read-only memory and programmable logic array Textbook/ Lecture
Notes
3
10 Flip-flops Textbook/ Lecture
Notes
3
11 Analysis of clocked sequential circuits Textbook/ Lecture
Notes
3
12 Registers and counters Textbook/ Lecture
Notes
3
13 Random access memory and memory decoding Textbook/ Lecture
Notes
3
14 Algorithmic state machines Textbook/ Lecture
Notes
3
15 Asynchronous sequential logic Textbook/ Lecture
Notes
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Digital Design by M. Morris Mano
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice 6 20
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
COURSE INFORMATION
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Laboratory hours 6 2 12
Individual study for
course 8 5 40
Individual study for labs 6 5 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 4 5 20
Individual study for final
exam 6 5 30
Total 179
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 3 2 4 5 5 3 2 5 2 2 2
LO2 5 3 3 4 5 5 3 2 5 2 2 2
LO3 5 3 2 4 5 5 3 2 5 2 2 3
LO4 5 3 3 4 5 5 3 2 5 2 2 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: The aim of the course is to teach the basic physical concepts of static electric and
magnetic fields as well as time-varying fields and electromagnetic wave propagation.
The course is the most fundamental course in electrical engineering the results of
which are used in circuit theory and electronics. It is also a fundamental course for
higher level courses such as antenna theory and microwaves.
Course contents
: Fundamental mathematical tools for electromagnetic, electrostatics, electrical
potential, capacitors, steady electric currents, resistors, magnetostatics,
inductors, Maxwell’s equations, wave propagation, plane electromagnetic
waves, group velocity, Poynting vector, reflection and refraction of
electromagnetic waves.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 learn fundamental mathematical tools for
electromagnetic theory.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 understand the basic principles of resistors,
capacitors, and inductors.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 understand the concept of wave propagation. Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 gain insight of how materials behave at high
frequencies.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Basic vector algebra, orthogonal coordinate systems Textbook/ Lecture
Notes
4
2 Gradient, divergence and curl operators, Gauss and Stoke
theorems
Textbook/ Lecture
Notes
4
3 Static electric fileds, Gauss surfaces Textbook/ Lecture
Notes
4
Course
Code EEE206
Course
Name Electromagnetic Theory
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad 4 English 4 0 0 4 6
COURSE INFORMATION
4 Electric potential and electrostatic energy, capacitors Textbook/ Lecture
Notes
4
5 Steady electric currents and continuity equation Textbook/ Lecture
Notes
4
6 Static magnetic fields Textbook/ Lecture
Notes
4
7 Vector potential and magnetostatic energy, inductors Textbook/ Lecture
Notes
4
8 Midterm Exam 2
9 Time varying fields and Maxwell’s equations Textbook/ Lecture
Notes
4
10 Wave equations, time-harmonic fields, phasors Textbook/ Lecture
Notes
4
11 Plane electromagnetic waves in free space, TEM waves Textbook/ Lecture
Notes
4
12 Plane waves in lossy media, group velocity Textbook/ Lecture
Notes
4
13 Flow of electromagnetic power and Poynting vector Textbook/ Lecture
Notes
4
14 Reflection of electromagnetic waves from a conducting
surface
Textbook/ Lecture
Notes
4
15 Reflection of electromagnetic waves from a dielectric
boundary, refraction and refraction index
Textbook/ Lecture
Notes
4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Introduction to Electronic Circuit Design by Richard Spencer and Mohammed Ghausi
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
COURSE INFORMATION
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 4 56
Individual study for
course 10 3 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 6 5 30
Individual study for final
exam 6 5 30
Total 151
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 5 1 3 1 1 2 2 2 1 1 1
LO2 2 5 1 1 2 1 2 2 3 2 1 4
LO3 5 3 1 2 1 3 2 2 2 1 2 1
LO4 5 5 1 1 3 1 2 2 4 1 3 4
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Industrial and Systems Engineering
Prerequisites/Requirements
for Admission : IND 203 Probability Theory
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) : Dr. G. Sena Daş
Course assistant(s) :
Course description/aim : This course aims to introduce the basic concepts of operations research and to
teach the use of these concepts to model real-life problems.
Course contents
: Linear programming, linear programming and modeling. Graphical solution
method and the Simplex algorithm. Sensitivity analysis. Duality and Dual
simplex method. Transportation, assignment and transshipment problems.
Recommended optional
program components : -
Compulsory Attendance : Compulsory.
Course Learning Outcomes
Learning outcome Students will be able to
Teaching
Methods/Techniques
Assessment
method(s)
1 Model a problem using linear programming Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
2 Learn and use the basic solution techniques of
linear programming such as Graphical
Solution and the Simplex Algorithm
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
3 Model Transportation, Assignment and
Transshipment problems and solve these
problems by using appropriate optimization
algorithms
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
4 Learn how to make a business decisions with
a view of optimization
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
5 Use an appropriate software package to solve
linear programming problems
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
6 Conduct sensitivity analysis of linear
programming problems
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
7 Define primary-dual relationship and to make
the economic interpretation of duality
Lecture, question-answer,
discussion, problem solving
Quiz, homework,
exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to Operations Research and Linear Programming,
Modelling
Textbook/ Course
Notes
3
2 Linear Programming Models and Modelling/ Graphical Textbook/ Course 3
Course
Code IND 202
Course
Name Operations Research 1
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 4 English 3 0 0 3 6
COURSE INFORMATION
Solution Techniques Notes
3 Graphical Solution Techniques/ Simplex Algorithm Textbook/ Course
Notes
3
4 Simplex Algorithm Textbook/ Course
Notes
3
5 Simplex Algorithm Textbook/ Course
Notes
3
6 Simplex Algorithm Textbook/ Course
Notes
3
7 Simplex Algorithm/ Sensitivity Analysis Textbook/ Course
Notes
3
8 Midterm Exam Textbook/ Course
Notes
3
9 Duality Textbook/ Course
Notes
3
10 Duality Textbook/ Course
Notes
3
11 Dual Simplex Method/ Sensitivity Analysis Textbook/ Course
Notes
3
12 Sensitivity Analysis- Midterm Exam Textbook/ Course
Notes
3
13 Transportation Problem Textbook/ Course
Notes
3
14 Assignment Problem Textbook/ Course
Notes
3
15 Transshipment Problem Textbook/ Course
Notes
3
16 Final Exam Textbook/ Course
Notes
3
17 Final Exam Textbook/ Course
Notes
Sources
Course
notes/textbooks
: Taha, Hamdy A., Operations Research: An Introduction, Eighth Edition, Prentice-Hall
International, Inc., 2007.
Readings : Related articles
Supplemental
readings
: Winston, Wayne L., Operations Research: Applications and Algorithms, Fourth
Edition, Brooks/Cole-Thomson Learning, 2004.
Hillier, Frederick S. and Lieberman, Gerald J., Introduction to Operations Research,
Eighth Edition, McGraw-Hill, 2005.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 3 20
Homework 3 10
Presentation
COURSE INFORMATION
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 3 3 9
Individual study for
presentation
Individual study for
project
Individual study for
quizzes 3 5 15
Individual study for
midterm exams 1 20 20
Individual study for final
exam 1 30 30
Total 154
ECTS Credit(Total/25,5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 5 1 5 1 2 1 3 1 1 1 1
LO2 3 5 1 5 1 2 1 3 1 1 1 3
LO3 3 5 2 3 1 2 1 3 1 3 1 1
LO4 3 5 5 5 1 2 1 3 1 3 1 1
LO5 3 5 3 3 1 2 1 3 1 3 3 1
LO6 3 5 3 5 1 2 1 3 1 1 1 2
LO7 3 5 5 3 1 2 1 3 1 1 1 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Industrial and Systems Engineering
Prerequisites/Requirements
for Admission :
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) : Nilgün Ferhatosmanoğlu
Course assistant(s) :
Course description/aim : This course provides an elementary introduction to probability.
Course contents
: Mathematical probability. Conditional Probability and independence. Basic
probability models. Random variables; Discrete Random Variables and their
distributions. Continuous Random Variables and their distributions. Joint
Probability Distributions. Expectation. Covariance and Correlation.
Recommended optional
program components : -
Compulsory Attendance : Compulsory
Course Learning Outcomes
Learning outcome Students will be able to
Teaching
Methods/Techniques
Assessment method(s)
1 Learn the basic concepts such as conditional
probability, independence, expectation and
variation
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
2 Apply and interpret theorems such as total
probability rule, Bayes' theorem, the
conditional expectation and the central limit
theorem
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
3 Know when to use discrete and continuous
distributions.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
4 Model sources of uncertainty associated with
industrial and systems engineering problems
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
5 Analyze and interpret the results of the
probabilistic models by using probability
theory.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Permutations and combinations Textbook/ Course
Notes
3
2 Sample spaces, events and set theory Textbook/ Course
Notes
3
Course
Code IND 203
Course
Name Probability Theory
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 3 English 3 0 0 3 6
COURSE INFORMATION
3 Axioms of probability Textbook/ Course
Notes
3
4 Counting Techniques Textbook/ Course
Notes
3
5 Probability, Conditional probability and independence Textbook/ Course
Notes
3
6 Random Variables, Functions of Random Variables Textbook/ Course
Notes
3
7 Discrete random variables, Expectations of discrete random
variables
Textbook/ Course
Notes
3
8 Midterm Exam Textbook/ Course
Notes
3
9 Continuous random variables, Joint probability distributions Textbook/ Course
Notes
3
10 Marginal Distributions Textbook/ Course
Notes
3
11 Conditional Distributions Textbook/ Course
Notes
3
12 Expectation and Conditional expectation Textbook/ Course
Notes
3
13 Moments and moment generating functions Textbook/ Course
Notes
3
14 Covariance and Correlation Textbook/ Course
Notes
3
15 Limit Theorems and Central Limit Theorem Textbook/ Course
Notes
3
16 Final Exam Textbook/ Course
Notes
3
17 Final Exam Textbook/ Course
Notes
Sources
Course
notes/textbooks
: Douglas C. Montgomery and George C. Runger, Applied Statistics and Probability for
Engineers, 5th edition, Wiley
Readings :
Supplemental
readings
: W.W. Hines, D.C. Montgomery, D.M. Goldsman, C.M. Borror, Probability and
Statistics in Engineering, , 4th Ed., John Wiley & Sons, Inc.
Ross, Sheldon. A First Course in Probability. 8th
ed. Upper Saddle River, Prentice Hall,
2009.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 14 5
Quizzes 2 10
Homework 2 10
Presentation
Laboratory/Practice
Report(s)
COURSE INFORMATION
Graduate Thesis/Project
Seminar
Projects 1 20
Midterm exam(s) 1 25
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 2 2 4
Individual study for
presentation
Individual study for
project 1 20 20
Individual study for
quizzes 2 2 4
Individual study for
midterm exams 1 20 20
Individual study for final
exam 1 25 25
Total 148
ECTS Credit(Total/25,5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 1 2 3 2 3 3 3 4 5 2 2
LO2 1 1 3 3 2 2 2 2 4 4 4 3
LO3 2 2 2 2 1 3 1 2 2 1 2 2
LO4 5 5 2 2 2 5 2 2 5 5 4 2
LO5 2 5 4 3 4 2 2 2 4 2 2 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Industrial and Systems Engineering
Prerequisites/Requirements
for Admission :IND 203 Probability Theory
Mode of delivery : Face to face
Course coordinator : Nilgün Ferhatosmanoğlu
Course lecturer(s) : Nilgün Ferhatosmanoğlu, G. Sena Daş
Course assistant(s) :
Course description/aim : To learn basic statistical techniques used in parameter estimation
Course contents : Sample and Population Mean, Variance, Sampling Distribution of Means and
Central Limit Theorem, Hypotheses Testing
Recommended optional
program components :
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 draw Stem-and Leaf Diagram, Histogram,
Box-Plot, Probability Plot of a given data,
interprete them, and distinguish between
symmetrical and skewed data
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
2 compute measures of central tendency (mean,
median) and deviation (range, standard
deviation) of a given sample and calculate
probabilities related to sample mean using
Central Limit Theorem.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
3 develop one and two-sided confidence
intervals for population mean and variance,
compute them and interprets them
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
4 formulate an appropriate one or two sided
hypotheses test, perform the test and clearly
state the result of the test in the problem
context
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
5 comprehend the meaning of P- value and
decide on whether to reject the null
hypothesis based on P-value or not.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Sample and Population Mean, Variance, Stem and Leaf
Diagram
Course
notes/textbooks
3
Course
Code IND 204
Course
Name STATISTICS
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 4 English 3 0 0 3 6
COURSE INFORMATION
2 Quartiles, Histograms, Box-Plots, and Probability Plots
Course
notes/textbooks
3
3 Sampling Distribution of Means and Central Limit Theorem
Course
notes/textbooks
3
4 Point Estimation
Course
notes/textbooks
3
5 Point Estimation (Cont’d)
Course
notes/textbooks
3
6 Interval Estimation for a Single Sample: Confidence Intervals
(Known Variance)
Course
notes/textbooks
3
7 Confidence Intervals (Unknown Variance): t-distribution,
Large Sample CIs- Midterm Exam
Course
notes/textbooks
3
8 Midterm Exam
Course
notes/textbooks
3
9 Hypotheses Testing for a Single Sample (Known Variance):
Type 1, Type 2 error, Power of a Test
Course
notes/textbooks
3
10 Hypotheses Testing for a Single Sample (Unknown Variance):
t-test, chi-square test
Course
notes/textbooks
3
11 Hypotheses Testing for a Single Sample (Unknown Variance):
t-test, chi-square test (Cont’d)
Course
notes/textbooks
3
12 Goodness of fit and Contingency Tables
Course
notes/textbooks
3
13 Hypotheses Testing for Two Samples: Inference for a
difference of two means
Course
notes/textbooks
3
14 Hypotheses Testing for Two Samples: paired t-test
Course
notes/textbooks
3
15 Inferences on the Variances of two Normal Populations
Course
notes/textbooks
3
16 Final Exam
Course
notes/textbooks
3
17 Final Exam
Sources
Course
notes/textbooks
: Douglas C. Montgomery and George C. Runger , Applied Statistics and Probability
for Engineers, 5th edition, Wiley
Readings :
Supplemental
readings
: W.W. Hines, D.C. Montgomery, D.M. Goldsman, C.M. Borror, Probability and
Statistics in Engineering, , 4th Ed., John Wiley & Sons, Inc.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 16 5
Quizzes 4 10
Homework 4 10
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
COURSE INFORMATION
Seminar
Projects 1 20
Midterm exam(s) 1 25
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 15 2 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 4 2 8
Individual study for
presentation
Individual study for
project 4 5 20
Individual study for quiz 4 3 12
Individual study for
midterm exams 3 5 15
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 3 4 2 3 3 3 2 3
LO2 4 5 5 2 5 4 3 3 3 3 2 2
LO3 5 3 3 5 5 4 4 3 3 3 3 2
LO4 5 5 5 3 2 4 2 3 3 3 3 4
LO5 5 2 5 5 5 4 2 3 3 3 2 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mathematics
Prerequisites/Requirements
for Admission : -
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: To introduce basic concepts of linear algebra including vectors, vector spaces,
matrices, and determinants, systems of linear equations, eigenvectors and linear
transformations.
Course contents
: Systems of linear equations. Gaussian elimination, matrix operations and
matrix types. Applications of matrices. Determinants. Cramer's rule. Vector
spaces. Matrix transformations. Eigenvalues and Eigenvectors.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
1 Solve systems of linear equations Lectures Homework and Exams
2 Compute determinants, eigenvalues and
eigenvectors
Lectures Homework and Exams
3 Perform and explain uses of diagonalization
and quadratic forms
Lectures Homework and Exams
4 Ability to use eigenvalues and eigenvectors
on engineering problems
Lectures Homework and Exams
5 Ability to work cooperatively in groups Lectures Homework and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Systems of Linear Equations 3
2 Gaussian Elimination 3
3 Matrix Operations and Matrix Arithmetic 3
4 Invertible Matrices and Special Matrices 3
5 Application of Matrices 3
6 Determinants, Cramer's Rule 3
7 Vectors in n-dimensions, Norms and Dot Products,
Orthogonality
3
8 Midterm 3
9 Cross Products 3
10 Real Vector Spaces 3
Course
Code MAT221
Course
Name Linear Algebra
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 3rd English 3 0 0 0 6
COURSE INFORMATION
11 Subspaces, Linear Independence 3
12 Coordinates and Basis 3
13 Change of Basis 3
14 Matrix Subspaces, Matrix Transformations 3
15 Eigenvalues and Eigenvectors 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Elementary Linear Algebra: Applications Version, (10th edition) H. Anton and C.
Rorres, Wiley (2010) and Lecture Notes.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 11 5 55
Individual study for
midterm exams 3 4 12
Individual study for final
exam 6 4 24
Total 156
COURSE INFORMATION
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 1 1 1 1 1 1 2
LO2 4 3 2 4 4 1 1 4 1 2 1 3
LO3 5 4 4 4 2 1 1 2 2 1 1 4
LO4 3 2 3 4 5 1 1 4 2 1 1 2
LO5 3 3 5 4 4 1 1 4 2 1 1 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Mechanical Engineering
Prerequisites/Requirements
for Admission :None
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To improve mathematical thinking of students and make the students to use this skill
in order to solve the problems which are met in mathematics, physic sand mechanical
engineering problems.
Course contents
: Definition and Classification of Differential Equations; Examples from
Practical Science; 1st Order Differential Equations; Separable into Variables,
Homogen and Homogenized Differential Equations; 1st Order Linear
Differential Equations; Bernoulli andRiccati Differential Equations; Exact
Differential Equation, Integrating Factors and Solution
Methods; High-order Equations; Factorization Method; To Determine Single
Solution; Clairaut and Lagrange Differential Equations; Differential Equations
with lack of one Variable; High order Linear Differential Equations; Homogen
and Non-Homogen Differential Equations; Complementary Function; Special
and General Solution; Linear Independence of Solutions; Homogen Linear
Equations with Constant Coefficients; Non-Homogen Differential Equations
with Constant Coefficients; Undefined Coefficients Method; Changing of
Parameters (Lagrange) Method; Operator Method; Linear and Non-linear
Differential Equations with Variable Coefficients; Cauchy-Euler Equations;
Equations with lack of dependent and independent variables; Sarrus Method;
Serail Solution of 2nd order Linear Equations; Laplace Transform; Calculation
of Initial Value Problems by Laplace Transform; 1st order Linear Equation
Systems; Elimination and Determinant Methods, Homogen Linear Equation
Systems with Constant Coefficients; Undefined Coefficients and Changing of
Parameters Method.
Recommended optional
program components :None
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Gain ability to use differential equations
terminology accurately.
Lecture, question and
answer
Exam, question and
answer
2 Able to solve first order differential equations
and use them in engineering applications
Lecture, question and
answer
Exam, question and
answer
3 Able to solve first order differential equations Lecture, question and Exam, question and
Course
Code
MAT
222
Course
Name Differential Equations
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credit
s
ECTS
Compulsory Bachelor 4th English 3 0 0 3 5
COURSE INFORMATION
and use them in engineering applications answer answer
4 Learn the all solution methods of differential
equations which consist of functions of one
variable
Lecture, question and
answer
Exam, question and
answer
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1
Definition and Classification of Differential Equations:
Classification According to Type: Ordinary and Partial
Differential Equations, Order of Differential Equations and
Classification According to Order; Classification according to
Linearity: Linear- Nonlinear Differential Equations; Solution
of Differential Equations: Integral Curve; Closed-open
Solution; Special Solution; General Solution; Single Solution;
Initial Value Problem. To Acquire Differential Equations
Lecture Notes, Text
book
3
2
Examples from Practical Science: Radioactive Deterioration,
Increase in Population, Simple Pendulum, etc. 1st order
equations: Separable into Variables Differential Equations;
Homogen and Homogenized Differential Equations.
Lecture Notes, Text
book
3
3
1st order equations: Exact Differential Equations, Differential
Equations transformation into exact form; Integrating Factors
and Solution Methods; Solutions of Linear Differential
Equations; Solutions of Bernoulli and Riccati Differential
Equations
Lecture Notes, Text
book
3
4
1st order equations: Exact Differential Equations, Differential
Equations transformation into exact form; Integrating Factors
and Solution Methods; Solutions of Linear Differential
Equations; Solutions of Bernoulli and Riccati Differential
Equations
Lecture Notes, Text
book
3
5
High-order Linear Differential Equations; Homogen and Non-
Homogen Differential Equations; Complementary Function;
Special and General Solution; Linear Independence of
Solutions and Wronskian determinant; Homogen Linear
Equations with Constant Coefficients: To Determine of
Characteristic Equations; In case of Unrepeated and Real
Roots of Characteristic Equations; In case of Repeated Roots
of Characteristic Equations.
Lecture Notes, Text
book
3
6
Homogen Linear Differential Equations with Constant
Coefficients: In case of Complex Roots of Characteristic
Equations; In case of some repeated roots, some unrepeated
roots and some complex roots of Characteristic Equations.
Non-Homogen
Differential Equations with Constant Coefficients: Undefined
Coefficients Method
Lecture Notes, Text
book
3
7
Non-Homogen Differential Equations with Constant
Coefficients: Changing of Parameters (Lagrange) Method;
Operator Method
Lecture Notes, Text
book
3
8 Midterm I
9
Non-linear Differential Equations with Variable Coefficients:
Equations with lack of dependent and independent variables;
Sarrus Method
Lecture Notes, Text
book
3
COURSE INFORMATION
10
Serail Solution of 2nd order Linear Equations: Definition of
Power Series; Limit and Radius of Convergence of Power
Series; Expansion Conditions of Power Series; Definition of
Ordinary Point; To Determine the Serial Solution of
Differential Equation nearby the ordinary point
Lecture Notes, Text
book
3
11
Laplace Transform: Definition; Laplace Transform of
Elementary Functions; Laplace Transform of Derivative and
Derivative of Laplace Transform; Calculation of Initial Value
Problems by Laplace Transform
Lecture Notes, Text
book
3
12
Laplace Transform: Unit Step Function, Partial Function on
Right Hand-side of Equation in the Non-homogen Initial
Value Problem; 1st order Linear Differential Equation
Systems: Definition, Normal Form, Corrupted System, Order
of Equation Systems; Solution Vector; Super-position
Principle; Linear Invarience of the Solutions; General Solution
Lecture Notes, Text
book
3
13 Midterm II
14
Homogen Linear Equation Systems with Constant
Coefficients: Definition of Characteristic Equations; In case of
real and unrepeated roots of Characteristic Equations; In case
of Complex Roots of Characteristic Equations; In case of
Repeated Roots of Characteristic Equations
Lecture Notes, Text
book
3
15
Non-homogen Differential Equation Systems with Constant
Coefficients: Undefined Coefficients Method; Changing of
Parameters Method.
Lecture Notes, Text
book
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: Introduction to Ordinary Differential Equations, Shepley L. Ross, 4th Edition,
Elementary to Differential Equations and Boundary Value Problems, William E. Boyce
and Richard C.Di Prima, 5th Edition.
Readings :
Supplemental
readings :Lecture Notes
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 4 5
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 20
COURSE INFORMATION
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Individual study for
course
6 5 30
Midterm exam(s) 2 2 4
Final exam 1 3 3
Quizzes 4 1/2 2
Individual study for
quizzes
4 3 12
Individual study for
midterm midterms
4 5 20
Individual study for final
exam
2 5 10
Total 123
ECTS Credit (Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 3 3 3 1 1 2 3 1 3 2
LO2 5 3 4 3 3 1 1 2 3 1 5 3
LO3 5 3 4 3 3 1 1 2 3 1 5 4
LO4 5 3 4 3 3 1 1 2 3 1 5 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To teach the students the fundamentals about complex numbers and complex
functions and to make sure they gain the ability to use complex calculus to solve
problems in electrical engineering
Course contents
: Complex numbers and functions, complex calculus, elementary functions and
inverse functions, complex integrals and residue theorems, Taylor series and
convergence, evaluation of improper integrals.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 learn the concept of complex numbers. Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 extend the knowledge on calculus by learning
complex functions, limit, derivative, and
integral.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 gain the ability to use complex calculus to
solve problems in electrical engineering.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Complex numbers and their properties Textbook/ Lecture
Notes
3
2 Analytic functions of complex variables Textbook/ Lecture
Notes
3
3 Theorems on limits and derivatives Textbook/ Lecture
Notes
3
4 Exponential, trigonometric, and hyperbolic functions Textbook/ Lecture
Notes
3
5 Logarithms and inverse functions Textbook/ Lecture
Notes
3
6 Complex integrals Textbook/ Lecture 3
Course
Code MAT232
Course
Name Complex Analysis
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad. 4 English 3 0 0 3 6
COURSE INFORMATION
Notes
7 Theorems on complex integrals Textbook/ Lecture
Notes
3
8 Midterm Exam 2
9 Taylor series and convergence Textbook/ Lecture
Notes
3
10 Integration and differentiation of power series, zeros of
analytic functions
Textbook/ Lecture
Notes
3
11 Residues and poles Textbook/ Lecture
Notes
3
12 Evaluation of improper real integrals Textbook/ Lecture
Notes
3
13 Improper and definite integrals involving sines and cosines Textbook/ Lecture
Notes
3
14 Mapping by elementary functions Textbook/ Lecture
Notes
3
15 Problems related to electrical engineering Textbook/ Lecture
Notes
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Complex Variables and Applications by R.V.Churchill and J.W.Brown
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
COURSE INFORMATION
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 10 3 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 8 5 40
Individual study for final
exam 7 5 35
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 5 1 3 4 3 1 1 2 1 3 1
LO2 5 2 1 3 4 3 4 4 2 3 3 2
LO3 5 5 1 3 4 3 1 1 2 1 3 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission :
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: This course seeks to place on solid foundations the most common structures
of computer science, to illustrate proof techniques, to provide the background
for an introductory course in computational theory, and to introduce basic
concepts of probability theory.
Course contents : Topics include Boolean algebras, logic, set theory, relations and functions,
graph theory, counting, combinatorics, and basic probability theory.
Recommended optional
program components :
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 precisely state logical argument Lectures Quizzes, exams and
homework
2 practically use fundamental mathematical
notation and concepts
Lectures Quizzes, exams and
homework
3 practice basic concepts of mathematical proof
(direct proof, proof by contradiction,
mathematical induction)
Lectures Quizzes, exams and
homework
4 handle the standard logical symbols with
some confidence
Lectures Quizzes, exams and
homework
5 solve elementary combinatorial and counting
problems
Lectures Quizzes, exams and
homework
6 simplify complex mathematical expressions
and apply general formulas to specific
contexts
Lectures Quizzes, exams and
homework
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Fundamental Principles of Counting Textbook 3
2 Fundamentals of Logic Textbook 3
3 Set Theory Textbook 3
4 Properties of the Integers: Mathematical Induction Textbook 3
Course
Code MAT2XX
Course
Name Discrete Mathematics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 3 English 3 0 0 3 5
COURSE INFORMATION
5 Relations Textbook 3
6 Relations Textbook 3
7 Functions Textbook 3
8 Midterm 1 2
9 The Principle of Inclusion and Exclusion Textbook 3
10 Generating Functions Textbook 3
11 Recurrence Relations Textbook 3
12 Midterm 2 2
13 Graphs Textbook 3
14 Graphs Textbook 3
15 Trees Textbook 3
16 Final Exam 2
17 Final Exam
Sources
Course
notes/textbooks : Discrete and Combinatorial Mathematics, Grimaldi, Pearson, 5/E.
Readings :
Supplemental
readings : Discrete Mathematics, Johnsonbaugh, Pearson, 7/E.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 5 5
Homework 4 10
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 50
Others
Final exam 1 35
Total 100
Percentage of semester work 65
Percentage of final exam 35
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 13 3 39
Individual study for
course 13 3 39
Midterm exam(s) 2 2 4
COURSE INFORMATION
Final exam 1 2 2
Individual study for
homework 4 4 16
Individual study for
midterm exams 2 8 16
Individual study for final
exam 2 6 12
Total 128
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 2 3 4 2 2 3 2 4 3 2
LO2 5 3 3 2 4 3 2 3 3 3 3 3
LO3 5 2 2 1 3 3 2 2 3 4 4 2
LO4 4 2 2 2 4 2 2 3 2 4 3 2
LO5 4 3 3 2 3 3 1 2 4 3 2 3
LO6 4 2 2 3 4 2 1 4 2 2 3 4
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim This course presents the fundamental topics for Dynamics.
Course contents
Dynamics of particles: Rectilinear and curvilinear motion, Newton's laws, momentum
and angular momentum methods. Work and energy. Dynamics of rigid bodies;
kinematics, Euler's Laws, angular momentum. Work and energy methods for rigid
bodies
Recommended optional
program components :None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment
method(s)
At the end of this course, students will be able to:
1 Analyze particle kinematics for motion of
particles.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
2 Have a solid basic knowledge of the
fundamental principles of the kinetics of
particles.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
3 Apply the basic concepts of work-energy and
impulse momentum in order to solve particle
motion problems.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
4 Conduct the kinematical analysis for plane
motion of rigid bodies.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
5 Identify, formulate and solve engineering
problems of the rigid body Dynamics.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
6 Apply the basics concepts of work-energy and
impulse momentum to rigid body systems.
Theoretical Lecture, Solving
Exercises
Exams, Question-
Answer
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Dynamics of particles Textbook/ Lecture
Notes
3
2 Application Textbook/ Lecture
Notes
3
3 Rectilinear and curvilinear motion Textbook/ Lecture 3
Course
Code
MEC
202 Course
Name Dynamics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 4 English 3 0 0 3 6
COURSE INFORMATION
Notes
4 Application Textbook/ Lecture
Notes
3
5 Newton's laws, momentum and angular momentum methods Textbook/ Lecture
Notes
3
6 Application Textbook/ Lecture
Notes
3
7 Dynamics of rigid bodies and kinematics Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
2
9 Application Textbook/ Lecture
Notes
3
10 Application Textbook/ Lecture
Notes
3
11 Work and Energy Textbook/ Lecture
Notes
3
12 Application-Midterm Exam II Textbook/ Lecture
Notes
3
13 Euler's Laws, angular momentum Textbook/ Lecture
Notes
3
14 Application Textbook/ Lecture
Notes
3
15 Work and energy methods for rigid bodies Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
3
17 Final Exam Textbook/ Lecture
Notes
Sources
Course
notes/textbooks : Engineering Mechanics: Dynamics by Russell C. Hibbeler
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 40
COURSE INFORMATION
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 4 56
Midterm exam(s) 2 2 4
Final exam 1 3 3
Quizzes 2 1 2
Individual study for
quizzes 2 6 12
Individual study for
midterm exams 2 10 20
Individual study for final
exam 2 10 20
Total 159
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 3 2 5 4 3 5 1 3 1 5 2
LO2 5 4 2 3 2 3 5 1 3 3 2 3
LO3 2 3 2 3 4 3 5 1 3 1 5 2
LO4 2 1 2 5 2 3 5 1 3 3 5 3
LO5 5 3 2 5 4 3 5 1 3 1 2 3
LO6 5 3 2 3 2 3 5 1 3 3 5 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim To address the basic principles of thermodynamics, to give an idea about the
use thermodynamics in the engineering applications with real-life examples
Course contents
Recommended optional
program components :None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Have knowledge about fundamental
thermodynamic concepts such as open, closed
and isolated systems, state of a system in
equilibrium and extensive and intensive
properties of the system in equilibrium.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
2 Comprehend properties of pure substances,
phase diagrams and phase transitions.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
3 Able to understand the energy transfer by heat
and work.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
4 Be acquainted with energy conservation (First
Law of Thermodynamics), increased entropy
(Second Law of Thermodynamics) and
energy conversion.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
5 Be familiar with energy conversion devices
and machines such as compressors,
turbines,boilers, heat exchangers, combustion
chambers, etc. and their energy balance
analysis.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
6 Grasp thermodynamic cycles and conduct
their thermodynamic analysis.
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
Weekly Detailed Course Content
Course
Code MEC 205
Course
Name Thermodynamics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad. 3 English 3 0 0 3 6
COURSE INFORMATION
Week Content Recommended
Resource(s)
Time
(Hours)
1
Introduction to basic concepts of thermodynamics and
energy, systems and control volumes, phase changes and
cycles
Textbook/ Lecture
Notes
3
2 Energy Conversion, heat and energy transfer, work and energy
transfer, the first law of thermodynamics
Textbook/ Lecture
Notes
3
3
Properties of pure substances, phase change processes,
compressed liquid, saturated liquid, saturated steam,
superheated steam, saturation temperature and saturation
pressure
Textbook/ Lecture
Notes
3
4
Property of phase change process diagrams, tables of
thermodynamic properties, enthalpy, ideal gas equation of
state
Textbook/ Lecture
Notes
3
5 Closed systems energy analysis: Moving boundary work,
energy balance, specific heats
Textbook/ Lecture
Notes
3
6 Perfect gases, internal energy, enthalpy and specific heat,
solids and liquids, internal energy, enthalpy and specific heat
Textbook/ Lecture
Notes
3
7 Mass and energy analysis for control volumes: the principle of
conservation of mass, energy of heat and fluid flow
Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
2
9 Energy analysis of continuous-flow open systems Textbook/ Lecture
Notes
3
10 Some Steady-Flow Systems Textbook/ Lecture
Notes
3
11 Conservation of energy in time depended open systems Textbook/ Lecture
Notes
3
12 Introduction to Second Law of Thermodynamics
Midterm Exam II
Textbook/ Lecture
Notes
3
13
Refrigerating systems and heat pumps, the activity coefficient,
the Second Law of Thermodynamics: Clasius expression,
circulating machines
Textbook/ Lecture
Notes
3
14 Reversible and irreversible processes, Carnot cycle, Carnot
Cycle applications
Textbook/ Lecture
Notes
3
15 Problem Solving Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
3
17 Final Exam
Sources
Course
notes/textbooks : Thermodynamics by YA. Çengel
Readings :
Supplemental
readings :
References :
COURSE INFORMATION
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 40
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Individual study for
course 8 5 40
Midterm exam(s) 2 2 4
Final exam 1 3 3
Quizzes 2 1 2
Individual study for
quizzes 4 3 12
Individual study for
midterm exams 6 5 30
Individual study for final
exam 4 5 20
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 3 2 4 4 1 2 2 2 2 3 2
LO2 5 3 2 4 4 2 2 2 2 2 3 2
LO3 5 3 2 4 4 1 2 2 2 3 3 2
LO4 5 3 2 4 4 2 2 2 2 2 3 3
LO5 5 3 2 4 4 1 2 2 2 3 3 2
LO6 5 3 2 4 4 1 1 2 2 2 3 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : -
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: This course presents the fundamental concepts in modeling second order dynamical
systems. Different dynamical systems; mechanical, thermal, electrical and fluidic, will
be modeled. Responses of 2nd
order systems to various types of input signals will be
discussed. Modeling and simulation studies will be performed in Matlab Simulink
environment.
Course contents
: Introduction to dynamical systems. First order dynamical systems. Second
order dynamical systems. Modeling of mechanical systems. Modeling of
fluidic systems. Modeling of electrical systems. Modeling of thermal systems.
Response of second order systems.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand basics of modeling and
simulation
Lectures Homeworks and Exams
2 Perform modeling and simulation work using
Matlab/Simulink
Lectures Homeworks and Exams
3 Understand basic principles of 2nd
order
systems
Lectures Homeworks and Exams
4 Understand responses of 2nd
order systems to
different types of input signals
Lectures Homeworks and Exams
5 Work individually or as a team member for
solving engineering tasks.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to dynamical systems 3
2 First order dynamical systems 3
3 Second order dynamical systems 3
4 Modeling of mechanical systems 3
5 Modeling of fluidic systems 3
Course
Code MCH301
Course
Name Modeling and Simulation
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 5th
English 3 0 0 3 5
COURSE INFORMATION
6 Modeling of electrical systems 3
7 Modeling of thermal systems 3
8 Mid-term Exam 3
9 Basics of simulation and Matlab/Simulink 3
10 Response of second order systems to various input types 3
11 Response of second order systems to various input types 3
12 Simulation of mechanical systems. 3
13 Simulation of thermal and fluidic systems. 3
14 Simulation of electrical systems 3
15 Modeling and simulation of a quadrotor platform 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Simulation Modeling and Analysis, Averill Law, McGraw-Hill Publishing, 2006 and
Lecture notes
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes 5 10
Homework 5 10
Presentation -- 0
Laboratory/Practice 2 20
Report(s) -- --
Graduate Thesis/Project -- --
Seminar -- --
Projects 1 10
Midterm exam(s) 1 20
Others -- --
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 6 4 24
Midterm exam(s) 1 3 3
Final exam 1 4 4
COURSE INFORMATION
Individual study for
homework 2 5 10
Individual study for
quizzes 5 1 5
Individual study for the
project 1 8 8
Individual study for
midterm exams 4 4 16
Individual study for final
exam 6 3 18
Total 130
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 4 2 5 5 4 4 5 2 3 3 2
LO2 3 3 5 5 5 4 5 4 3 2 2 1
LO3 3 4 2 3 5 5 4 5 5 2 2 1
LO4 3 3 4 4 5 5 4 4 3 3 4 2
LO5 3 3 4 5 4 4 4 3 3 4 3 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MCH301
Mode of delivery : Lectures, Projects, Laboratories, Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: This course intends to introduce basic building blocks of mechatronic products.
Signals and signal characteristics will be studied. Several sensors and actuators and
their characteristics/interfacing will be introduced.
Course contents
: Building blocks of mechatronic products. Principles of sensing. Types of
sensors and interfacing. Linear and rotational sensors. Proximity sensing.
Force, torque and power measurement. Inertial sensors. CCD/CMOS imagers.
Actuators. DC servomotors, brushless DC motors. RC servo and stepper
motors. Hydraulic actuators and modeling. Piezoelectric effect. Piezoelectric
actuators and sensors.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand basic building blocks of
mechatronic products.
Lectures Homeworks and Exams
2 Understand basic principles of sensing. Lectures Homeworks and Exams
3 Understand working principles of mostly
encountered sensors.
Lectures Homeworks and Exams
4 Understand actuators, their modeling and
interfacing.
Lectures Homeworks and Exams
5 Understand basics of microsensors and
piezoelectric effect.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Classification of mechatronic products. 3
2 Building blocks of mechatronic products. 3
3 Principles of sensing. Types of sensors and interfacing. 3
4 Linear and rotational sensors. Proximity sensing. 3
5 Force, torque and power measurement. Temperature
measurement.
3
Course
Code MCH302
Course
Name Mechatronic Components
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 6th
English 3 0 2 4 4
COURSE INFORMATION
6 Principles of inertial measurement. Inertial measurement units 3
7 CCD/CMOS cameras and interfacing. Microsensors. 3
8 Mid-term Examination 3
9 Actuators. Types and interfacing. 3
10 DC servomotors. Modeling, interfacing and drives. 3
11 Brushless DC motors. Modeling, characteristics and drives 3
12 RC servo and stepper motors. 3
13 Hydraulic actuators and modeling. 3
14 Piezoelectric effect. Piezoelectric sensors and actuators. 3
15 System integration concepts 3
16 Final Examination 3
17 Final Examination
Sources
Course
notes/textbooks
: Mechatronics System Design: SI, D. Shetty, R. A. Kolk, 2010., Instrumentation and
Control Systems, 2006., and Lecture Notes Readings :
Supplemental
readings : The mechatronics handbook. Robert H. Bishop. CRC Press.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework -- 0
Presentation -- 0
Laboratory/Practice 5 30
Report(s) -- --
Graduate Thesis/Project -- --
Seminar -- --
Projects 2 30
Midterm exam(s) 1 10
Others -- --
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 4 4
COURSE INFORMATION
Individual study for
project 5 3 15
Individual study for
midterm exams 4 2 8
Individual study for final
exam 4 4 16
Total 104
ECTS Credit(Total/25.5) 4
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 1 4 5 4 4 5 3 3 3 3 4
LO2 2 1 4 4 5 5 5 5 5 3 3 2
LO3 4 3 4 5 5 4 4 5 3 3 2 1
LO4 3 3 5 4 5 4 4 4 4 3 2 2
LO5 2 3 3 3 3 3 4 3 3 5 3 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: MCH 203 Elements of Design for Mechatronics Engineering I
MCH 204 Engineering Mechanics
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) : Assistant Prof. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
: At the end of this course, the students will be competent in designing mechanical
engineering systems either alone or as a part of a team, will understand the principles
of failure prevention perspective of mechanical design, know how to design and/or
select required mechanical components, know how to choose the correct engineering
materials for the design and its related standard components with respect to the field
of application, know how to document and present their work efficiently
Course contents
: Concepts and definition of mechanical design, safety factor, failure criteria, modes
of mechanical failure (elastic deformation, rupture, buckling, impact, creep, wear,
corrosion, fatigue) and failure prevention (reliability), materials selection, types of
loading, force & stress analysis, design for function/ performance/ reliability/
manufacturing/ assembly, elements of power transmission, pressurized cylinders,
bearings, power transmitting screws, joints and fastening methods, springs, gears,
brakes & clutches, belts, chains, cranks, fundamentals of integration of components
into a full assembly
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. A good understanding of concepts
and definition of mechanical
design and its stages
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
2. Working in-depth knowledge in
state-of-the-art industrial practices
of mechanical, materials and
manufacturing standards
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
3. A good understanding of design
safety factor, standard machine
elements; their subassemblies and
integration methodology of
elements to acquire the whole
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
Course
Code MCH 303
Course
Name Elements of Design for Mechatronics Engineering II
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 5 English 4 0 2 5 6
COURSE INFORMATION
2
machine
4. Ability to realize and use the
failure prevention perspective in
mechanical design
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
5. Working in-depth knowledge in
modes of mechanical failure,
failure theories and reliability
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
6. Working in-depth knowledge in
analysis of stress & strain
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
7. Conforming to team work
environment
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
8. Acquiring of project management
skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
9. Acquiring of effective technical
communication and presentation
skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Quizzes, homeworks, individual
and/or group project(s), group
presentation for project, poster
presentation of group project,
midterm and final exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction: Keystones of design, Materials selection &
Geometry determination
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
2 Failure prevention analysis, Failure criteria, Modes of mechanical
failure (Elastic deformation, Yielding, Ductile rupture)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
3 Modes of mechanical failure (Elastic instability, Buckling, Shock
and Impact)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
4 Modes of mechanical failure (Creep, Wear, Corrosion, Fatigue)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
*** Announcement of individual or group project guidelines
COURSE INFORMATION
3
5 Role of safety factors in design & Reliability, Materials Selection
in mechanical design
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
6 Analysis of Stress & Strain
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
Students decide on individual or group project and submit
proposal to instructor
7 Midterm exam 3
8 Failure theories (Multiaxial states of stress & strain, Stress
concentration, Combined stress theories of failure)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
9 Failure theories (Brittle fracture, crack propagation, Fluctuating
loads & fatigue life, Multiaxial states of cyclic stress)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
10 Design applications (Power transmission machine elements,
Pressurized cylinders and Interference fits)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
11 Design applications (Plain bearings, Rolling bearings, Lubrication)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
12 Design applications (Power screws, Machine joints and Fastening
methods)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
13 Design applications (Springs, Brakes & clutches) Textbook/Lecture
Notes
4
14 Design applications (Gears)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
15 Design applications (Belts, Chains, Cranks and Crankshafts)
Textbook/Lecture
Notes/ Supplemental
books/Internet
4
15’ *** Submission of project ***
16 Final exam 3
17 Final exam
Sources
Course
notes/textbooks
: “Mechanical Design of Machine Elements and Machines”, by J.A. Collins, H. Busby & G.
Staab, Wiley; 2nd
ed, 2012, ISBN 978-0-470-41303-6
Readings : Chapters as assigned from the textbook
Supplemental
readings
: “Fundamentals of Machine Component Design”, by Robert Juvinall, Wiley; 5th ed, 2011,
ISBN 978-1118012895
“Machine Elements in Mechanical Design”, by Robert Mott, Prentice Hall, 4th ed, 2003, ISBN
978-0130618856
“Shigley's Mechanical Engineering Design”, by Richard Budynas, McGraw-Hill
Science/Engineering/Math, 9th ed, 2010, ISBN 978-0077942908
“Design of Machinery”, by Robert Norton, McGraw-Hill Science/Engineering/Math, 5th ed,
COURSE INFORMATION
4
2011, ISBN 978-0077421717
“Engineering Design: A Project Based Introduction”, by Clive Dym, Wiley; 3rd ed, 2008, ISBN
978-0470225967
“Mechanical Design”, by Peter Childs, Butterworth-Heinemann; 2nd ed, 2004, ISBN 978-
0750657716
“Materials Selection in Mechanical Design”, by Michael F. Ashby, Butterworth-Heinemann 4th
ed, 2010, ISBN 978-1856176637
References
:”Engineering Drawing and Design”, by David Madsen, Delmar Cengage Learning; 5th ed,
2011, ISBN 978-1111321833
“Engineering Drawing & Design”, by Cecil Jensen, McGraw-Hill Science/Engineering/Math;
7th ed, 2007, ISBN 978-0073521510
“The Elements of Mechanical Design”, by James Skakoon, ASME Press (American Society of
Mechanical Engineers), 2008, ISBN 978-0791802670
“Kinematic Chains and Machine Components Design”, by Dan B. Marghitu, Academic Press;
1st ed, 2005, ISBN 978-0124713529
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42
Quizzes 4 5%
Homework 10 10%
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects 1 15%
Midterm exam(s) 1 30%
Others
Final exam 1 40%
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
COURSE INFORMATION
5
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course lecture hours 14 4 56
Course lab hours 14 2 28
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 10 3 30
Individual study for
presentation 0 0 0
Individual study for
project 1 10 10
Individual study for
midterm exams 1 10 10
Individual study for final
exam 1 13 13
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MEC202
Mode of delivery : Lectures, Laboratories, Quizes, Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : This course intends to the fundamental concepts in thermodynamics, heat transfer
and fluid mechanics.
Course contents
: Principles of thermodynamics. First and second law of thermodynamics.
Heat, work, entropy and irreversibility. Hydrostatics and fluid mechanics.
Control volume, mass, momentum and energy. Euler and Bernolli equations.
Internal, external flows. Laminar and turbulent flows. Principles of heat
transfer. Conduction, convection and radiation. Applications.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand basic principles of
thermodynamics
Lectures Homeworks and Exams
2 Understand basic principles of fluid
mechanics
Lectures Homeworks and Exams
3 Understand basic principles of heat transfer Lectures Homeworks and Exams
4 Understand first law and second law of
thermodynamics
Lectures Homeworks and Exams
5 Understand basics of laminar and turbulent
flow
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Principles of thermodynamics 4
2 First law of thermodynamics 4
3 Second law of thermodynamics 4
4 Heat and work 4
5 Entropy and irreversibility 4
6 Hydostatics and introduction to fluid mechanics 4
7 Control volume, mass, momentum and energy 4
8 Mid-term Examination 4
Course
Code MCH304
Course
Name Thermo-fluid Engineering
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 6th
English 4 0 0 4 6
COURSE INFORMATION
9 Euler and Bernolli equations 4
10 Internal and external flows 4
11 Laminar and turbulent flows 4
12 Principles of heat transfer 4
13 Conduction 4
14 Convection 4
15 Radiation 4
16 Final Examination 3
17 Final Examination
Sources
Course
notes/textbooks
: Fundamentals of Thermal-Fluid Sciences. Y. Cengel. R. Turner. J. Cimbala. Mc-
GrawHill. 2011 Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes 5 10
Homework -- 0
Presentation -- 0
Laboratory/Practice 4 40
Report(s) -- --
Graduate Thesis/Project -- --
Seminar -- --
Projects 1 10
Midterm exam(s) 1 10
Others -- --
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 9 4 36
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
project 6 3 18
Individual study for 5 2 10
COURSE INFORMATION
quizzes
Individual study for the
laboratories 5 4 20
Individual study for
midterm exams 4 2 8
Individual study for final
exam 4 4 16
Total 157
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 5 4 5 4 4 5 3 3 2 2 4
LO2 4 2 3 4 5 2 2 5 3 1 2 2
LO3 3 3 4 2 5 4 2 5 3 2 3 1
LO4 3 3 5 4 2 4 2 3 2 3 3 2
LO5 2 3 3 3 3 3 1 3 3 5 1 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH306 Course
Name
INTRODUCTION TO MICROSYSTEMS
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Elective Bachelor 4th
English 3 0 2 3 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: Engineering Mechanics, Dynamics, or Consent of Instructor
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to introduce the design of Micro Electro
Mechanic Systems and Devices including Sensors, Actuators, Micro
Mechatronic Components, Micro Machines and Micro Mechanisms.
Course contents :
Recommended optional
program components
: --
Compulsory Attendance : 70%
Course Learning Outcomes
COURSE INFORMATION
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
1 Ability to apply mathematics, science and
engineering principles.
Lectures Homeworks and Exams
2 Ability to design a system, component, or
process to meet desired needs.
Lectures Homeworks and Exams
3 Ability to function on multidisciplinary
teams.
Lectures Homeworks and Exams
4 Ability to identify, formulate and solve
engineering problems.
Lectures Homeworks and Exams
5 Understanding of professional and ethical
responsibility.
Lectures Homeworks and Exams
6 Ability to communicate effectively. Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to MEMS & Microsystems 3
2 Introduction to Microsensors 3
3 Historical Development of MEMS, Market Survey 3
4 Application of MEMS 3
5 MEMS Materials 3
6 MEMS Materials Properties 3
7 Micromachined Microsensors Mechanical 3
8 Midterm Exam 3
9 MEMS Pressure and Flow Sensor 3
10 Micromachined Flow Sensors 3
11 MEMS Inertial Sensors 3
12 Micromachined Microaccelerometers for MEMS 3
13 MEMS Accelerometers for Avionics 3
14 Temperature Drift and Damping Analysis 3
15 Micro Fluidic Devices, Bio-MEMS 3
16 Final 3
17 Final
COURSE INFORMATION
Sources
Course
notes/textbooks
: Micro Systems Lecture Notes
Iwao Fujimasa, Micromachines – A New Era in Mechanical Engineering, Oxford
University Press, NY, 1996.
S.M. Sze (ed.), Semiconductor Sensors, John Wiley and Sons, Inc., NY, 1994.
Julian W. Gardner, Microsensors – Principles and Applications, John Wiley and Sons,
Inc., NY, 1994.
Ljubisa Ristic (ed.), Sensor Technology and Devices, Artech House, MA, 1994.
Randy Frank, Understanding Smart Sensors, 2nd
ed., Artech House, MA, 2000.
Paul W. Chapman, Smart Sensors, ISA, NC, 1996.
Readings : Hector J. De Los Santos, Introduction to Microelectromechanical (MEM) Microwave
Systems, Artech House, MA, 1999.
Sergej Fatikow and Ulrich Rembold, Microsystem Technology and Microrobotics,
Springer Verlag, NY, 1997.
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 40
Others -
COURSE INFORMATION
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course
4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 3 4 3 4 4 4 3 4 3 3 5
LO2 3 3 4 3 5 5 3 4 3 3 3 4
LO3 3 4 3 5 5 5 3 3 4 4 3 4
LO4 3 3 3 4 5 3 3 4 3 4 3 3
LO5 3 4 4 4 3 4 3 4 4 3 4 3
LO6 3 3 3 4 3 3 3 4 4 4 3 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Aeronautical Engineering Prerequisites/Requirements for Admission
: None
Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : Course description/aim : The fundamentals of subsonic flow are investigated within the scope of this course
Course contents : Potential Flow (Inviscid, Incompressible), Complex Variables, Lifting Line Theory, Finite Wing Theory
Recommended optional program components
: None
Attendance : Compulsory
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. The governing equations for Inviscid incompressible flow are learned
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
2. The application of conservation laws within a control volume is learned
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
3. Finding the potential and stream functions of a flow field around bodies and calculation of the pressure distribution are learned
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
4. Computation of the lift and moment coefficients via thin airfoil theory is learned
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
5. Computation of the lift and drag coefficients via finite wing theory is learned
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Aerodynamic forces and moments, Pressure and aerodynamic centers
Course book and lecture Notes
3
2 Dimensional analysis, Flow similarity, Types of flow Course book and lecture Notes
3
3 Fluid models, Conservation equations, Drag on a 2D body Course book and lecture Notes
3
Course
Code AEE 303
Course
Name Aerodynamics I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 5 English 3 0 0 3 4
COURSE INFORMATION
4 Fundamental equations of fluid flow, Pathlines, streamlines, streaklines
Course book and lecture Notes
3
5 Stream and potential functions, Inviscid and incompressible flow
Course book and lecture Notes
3
6 Bernoulli’s equation, Pitot tube Course book and lecture Notes
3
7 Laplace’s equation, Uniform flow, Source and doublet flows, Flow over a circuler cylinder
Course book and lecture Notes
3
8 Midterm Exam
9 Vortex flow, Lifting flow over a cylinder, Kutta Joukowski theorem
Course book and lecture Notes
3
10 Incompressible flows over airfoils, Kutta condition, Kelvin’s circulation theorem
Course book and lecture Notes
3
11 Classical thin airfoil theory, symmetric and cambered airfoils Course book and lecture Notes
3
12 Incompressible flow over finite wings, Downwash and induced drag, The vortex filament, The Biot-Savart law and Helmholtz theorems
Course book and lecture Notes
3
13 Panel Methods Course book and lecture Notes
3
14 Prandtl’s classical lifting line theory, Elliptical lift distribution Course book and lecture Notes
3
15 General lift distribution, Effect of aspect ratio Course book and lecture Notes
3
16 Final Exam 3 17 Final Exam
Sources
Course notes/textbooks
: John D. Anderson, “Fundamentals of Aerodynamics”, 4th Edition, Mc Graw Hill, 1991 ISBN: 0072950463
Readings : Internet research is strongly recommended Supplemental readings
: None
References : McCormick. B.W, “Aerodynamics, Aeronautics, and Flight Mechanics”, New York: Wiley, 1995, ISBN: D-471-11087-6
Evaluation System
Work Placement Number Percentage of Grade
Attendance Quizzes 10 10 Homework 5 10 Laboratory/Practice 5 10 Report(s) Graduate Thesis/Project Seminar Presentation 1 5 Projects 1 15 Midterm exam(s) 1 20 Others
COURSE INFORMATION
Final exam 1 30 Total 100
Percentage of semester work 70 Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42 Midterm exam(s) 1 3 3 Final exam 1 3 3 Individual study for homework
5 2 10
Individual study for presentation
2 2 4
Individual study for project
3 3 9
Individual study for midterm exams
7 2 14
Individual study for final exam
7 3 21
Total 106 ECTS Credit(Total/25.5) 4
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 1 2 1 5 1 1 1 3 3 5
LO2 5 2 1 1 4 5 1 1 2 3 3 5
LO3 5 2 1 1 1 5 1 1 1 3 3 5
LO4 5 2 1 2 1 5 1 3 1 3 3 5
LO5 5 2 1 1 4 5 1 1 1 3 3 5
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Aeronautical Engineering Prerequisites/Requirements for Admission
: None
Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : None
Course description/aim : In this course the fundamentals of compressible aerodynamics and boundary layer theory will be taught.
Course contents
: Inviscid, compressible flow; Steady 1D compressible flow; Subsonic compressible flow over airfoils; Linear supersonic flow; Viscous, incompressible flow; Boundary layer equations; Introduction to turbulent flow; Introduction to turbulent boundary layers; Lift and drag on airfoils (viscous and inviscid)
Recommended optional program components
: None
Attendance : Compulsory
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. Applying basic principles of
thermodynamics to flow problems Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
2. Obtaining flow properties in one
dimensional inviscid flows Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
3. Understanding the normal shock
concept and calculation of the
physical state around them
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
4. Understanding the deflection
phenomena of shock waves and
calculating the flow properties
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
5. Compressible internal flow phenomena should be understood
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
6. Calculating subsonic and supersonic compressible flow properties around airfoils
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
7. Understanding laminar and turbulent boundary layers and calculating the physical properties within them
Lecture, Collaboration, Demonstration
Standardized examination, short examination, homework, laboratory sessions
Weekly Detailed Course Content
Course
Code AEE 304
Course
Name Aerodynamics II
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 6 English 3 0 0 3 5
COURSE INFORMATION
Week Content Recommended
Resource(s)
Time
(Hours)
1
Introduction; Review of Thermodynamics Definition of Compressibility Governing Equations of Compressible Aerodynamics
Lecture notes and textbook 3
2 Normal Shocks Lecture notes and textbook 3 3 Normal Shocks Lecture notes and textbook 3 4 Oblique Shocks Lecture notes and textbook 3 5 Expansion Waves Lecture notes and textbook 3 6 Linear Theory of Subsonic Compressible Flows Lecture notes and textbook 3 7 Linear Theory of Subsonic Compressible Flows Lecture notes and textbook 3 8 Midterm Exam 9 Linear Theory of Supersonic Compressible Flows Lecture notes and textbook 3 10 Linear Theory of Supersonic Compressible Flows Lecture notes and textbook 3 11 Computational Methods for Compressible Flows Lecture notes and textbook 3 12 Introduction to Boundary Layer Theory Lecture notes and textbook 3 13 Laminar Boundary Layers Lecture notes and textbook 3 14 Turbulent Boundary Layers Lecture notes and textbook 3 15 Lift and Drag on Airfoils Lecture notes and textbook 3 16 Final Exam 17 Final Exam
Sources
Course notes/textbooks
: J.D. Anderson, "Fundamentals of Aerodynamics", McGraw-Hill, 2001
Readings : Internet research is strongly recommended Supplemental readings
: None
References : J.D. Anderson, "Modern Compressible Flow", McGraw-Hill, 1990 J. Schetz, "Foundations of Boundary Layer Theory", Prentice-Hall, 1984 H. Schlichting, "Boundary Layer Theory", Mc Graw-Hill, 1979
Evaluation System
Work Placement Number Percentage of Grade
Attendance Quizzes 10 10 Homework 5 10 Laboratory/Practice 5 10 Report(s) Graduate Thesis/Project Seminar Presentation 1 5 Projects 1 15 Midterm exam(s) 1 20 Others Final exam 1 30
Total 100 Percentage of semester work 70
Percentage of final exam 30
COURSE INFORMATION
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42 Midterm exam(s) 1 2 2 Final exam 1 3 3 Individual study for homework
5 4 20
Individual study for presentation
2 4 8
Individual study for project
6 3 18
Individual study for midterm exams
7 3 21
Individual study for final exam
7 2 14
Total 128 ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 1 1 1 5 1 1 1 3 3 5
LO2 5 2 4 3 3 5 3 4 4 3 4 5
LO3 5 2 1 1 1 5 1 1 1 2 3 3
LO4 5 2 1 1 1 5 1 1 1 3 3 5
LO5 5 2 4 3 3 5 3 4 4 2 4 5
LO6 5 2 1 1 1 5 1 1 1 3 3 3
LO7 5 2 1 1 1 5 1 1 1 3 3 5
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission : EEE205
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) : N/A
Course description/aim
: The objective of the course is to give detailed information about the layered
architectures of computers, examine and compare the architectures of modern
computers in many respects. Embedded systems architecture is also integrated
to the course at a basic level
Course contents
: Introduction to the computer organization and architecture, performance
evaluation, arithmetic processing, pipelining cache and virtual memory,
embedded computing, instruction sets, CPUs, program design and analysis,
hardware accelerators, networks.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 know the functional components of the
computer systems and the interaction with
each other
Lectures Homework, Projects,
Exams
2 choose a proper processor assessing
architectural differences in processors
Lectures Homework, Projects,
Exams
3 design a single-cycle CPU Lectures Homework, Projects,
Exams
4 code simple programs using MIPS or ARM
ISA
Lectures Homework, Projects,
Exams
5 make conversions between virtual memory
and physical memory
Lectures Homework, Projects,
Exams
6 describe architectural differences in
processors
Lectures Homework, Projects,
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Basic structure of computers Textbook/ Course
Notes
3
2 Instruction set Architecture Textbook/ Course 3
Course
Code COM302
Course
Name Computer Architecture and Embedded Systems
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 6 English 3 0 0 3 6
COURSE INFORMATION
Notes
3 Instruction set Architecture Textbook/ Course
Notes
3
4 Basic Input & Output Textbook/ Course
Notes
3
5 Software Textbook/ Course
Notes
3
6 Basic processing unit Textbook/ Course
Notes
3
7 Pipelining Textbook/ Course
Notes
3
8 Midterm Exam 2
9 Input & Output organization Textbook/ Course
Notes
3
10 The memory system Textbook/ Course
Notes
3
11 Arithmetic Textbook/ Course
Notes
3
12 Embedded systems Textbook/ Course
Notes
3
13 Embedded systems Textbook/ Course
Notes
3
14 System-on-a-chip Textbook/ Course
Notes
3
15 Parallel processing and performance Textbook/ Course
Notes
3
16 Final Exam 2
17 Final Exam
Sources
Course
notes/textbooks
: Computer Organization and Embedded Systems, C. Hamacher, Z. Vransevic, S. Zaky,
and N. Manjikian, 6th
ed. McGraw-Hill.
Readings :
Supplemental
readings
: Wayne Wolf,Computers as Components: Principles of Embedded Computing
System Design.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects 2 35
COURSE INFORMATION
Midterm exam(s) 1 25
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 2 2
Individual study for
project 6 6 36
Individual study for
midterm exams 4 5 20
Individual study for final
exam 4 6 24
Total 154
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 2 3 3 3 1 2 3 2 3 3 2
LO2 4 3 3 4 4 3 1 4 2 3 4 4
LO3 4 2 4 4 4 3 2 2 2 2 4 3
LO4 4 4 4 3 3 2 1 3 2 2 4 4
LO5 3 2 2 3 3 4 4 3 3 4 2 3
LO6 3 4 3 2 3 2 2 3 2 2 3 4
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To define generally the concepts of signal and system, to teach the available
methods for analyzing linear time invariant (LTI) system and signal representation. In
this respect, to get the students to gain ability on theoretically analyzing and
interpreting the signal and system behaviors.
Course contents
: Introduction to signals and systems, time-domain analysis of continuous-time
LTI systems, time domain analysis of discrete-time LTI systems, continuous
time LTI system analysis using the Laplace transform, discrete time LTI
system analysis using the z-transform, frequency-domain analysis of
continuous time LTI systems / frequency domain analysis of discrete time LTI
systems, MATLAB applications.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Learn to model fundamental signals and
systems
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Gain ability to perform frequency domain
analysis of continuous time and discrete time
signals and systems
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Gain ability to constitute the continuous time
and discrete time system models and make
transient and steady-state analyses.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Signal definition and classification, Fundamental continuous
time and discrete time signal models
Textbook/ Lecture
Notes
3
2 System definition, classification of systems and its principal
properties
Textbook/ Lecture
Notes
3
3 Time domain analysis of continuous time LTI systems Textbook/ Lecture
Notes
3
Course
Code EEE301
Course
Name Signals and Systems
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 5 English 3 0 0 3 6
COURSE INFORMATION
4 Time domain analysis of discrete time LTI systems Textbook/ Lecture
Notes
3
5 Analysis of continuous time LTI systems using Laplace
transform
Textbook/ Lecture
Notes
3
6 Bode plots and filter design Textbook/ Lecture
Notes
3
7 Analysis of discrete time LTI systems using z-transform Textbook/ Lecture
Notes
3
8 Midterm Exam 2
9 Relationship between Laplace and z-transform, bode plots,
filter design
Textbook/ Lecture
Notes
3
10 Frequency domain analysis of continuous time LTI systems,
Fourier transform
Textbook/ Lecture
Notes
3
11 Periodic signals and generalized Fourier series Textbook/ Lecture
Notes
3
12 Frequency domain analysis of discrete time LTI systems,
Fourier transform, discrete time Fourier transform
Textbook/ Lecture
Notes
3
13 Periodic signals and discrete Fourier transform Textbook/ Lecture
Notes
3
14 Fast Fourier transform Textbook/ Lecture
Notes
3
15 MATLAB applications Textbook/ Lecture
Notes
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: A. V. Oppenheim, A. S. Willsky, S. H. Nawab, Signals and Systems, Second Ed.,
Prentice Hall, 1996.
Readings :
Supplemental
readings : MATLAB User’s manual
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
COURSE INFORMATION
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Individual study for
course 8 4 32
Individual study for
MATLAB applications 4 4 16
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 6 5 30
Individual study for final
exam 6 5 30
Total 155
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 3 4 3 1 1 2 1 3 1
LO2 5 5 1 3 4 3 1 1 2 1 3 1
LO3 5 5 1 3 4 3 1 1 2 1 3 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To introduce the general structure and basic concepts of a typical control system. To
introduce the feedback concept. Analysis and design in time- and frequency-domain.
Stability concept. Design PID controllers.
Course contents
: Fundamental concepts in control systems, analysis in time-domain, stability,
design in time-domain, analysis in frequency-domain, design in frequency-
domain, PID controllers
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Learn the fundamental concepts of system
theory and control
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Gain ability to analyze control systems and to
understand stability by using time and
frequency domain tools
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Be able to design compensators to meet both
time- and frequency-domain specifications
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Mathematical models of physical systems, feedback, open and
closed loop control systems
Textbook/ Lecture
Notes
3
2 Transfer functions, block diagrams Textbook/ Lecture
Notes
3
3 Block diagram reduction, computation of transfer function via
signal flow graphs
Textbook/ Lecture
Notes
3
4 Time-domain analysis: transient and steady-state analysis Textbook/ Lecture
Notes
3
5 Stability of control systems: BIBO stability and Routh
analysis
Textbook/ Lecture
Notes
3
6 Root-locus analysis Textbook/ Lecture 3
Course
Code EEE302
Course
Name Automatic Control Systems
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 6 English 3 0 0 3 5
COURSE INFORMATION
Notes
7 Design by root-locus: lead, lag and lead-lag compensations Textbook/ Lecture
Notes
3
8 Midterm Exam 2
9 Frequency-domain analysis: Bode diagrams Textbook/ Lecture
Notes
3
10 Frequency-domain analysis: Nyquist diagrams and Nyquist
stability criteria
Textbook/ Lecture
Notes
3
11 Frequency-domain analysis: phase and gain margins, relative
stability
Textbook/ Lecture
Notes
3
12 Frequency-domain analysis: Nichols chart Textbook/ Lecture
Notes
3
13 Frequency-domain design: : lead and lag compensations Textbook/ Lecture
Notes
3
14 Frequency-domain design: : lead-lag compensation Textbook/ Lecture
Notes
3
15 PID controllers: classical and modern approaches Textbook/ Lecture
Notes
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Modern Control Engineering, OGATA, Prentice Hall, 2002.
Readings :
Supplemental
readings : MATLAB User’s manual
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
COURSE INFORMATION
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Individual study for
course 6 5 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 5 5 25
Individual study for final
exam 5 5 25
Total 127
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 3 2 3 1 1 2 1 3 1 5
LO2 5 5 3 3 3 2 2 2 1 3 1 5
LO3 5 5 3 4 3 1 1 2 1 3 1 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To learn the fundamentals of microprocessors and microcomputers. The students
will also learn to write programs in Assembly language that will run on 8086
microprocessor based microcomputers.
Course contents
: Introduction to microprocessors, assembly language, microprocessor
architecture and microcomputer systems, hardware structure of 8086, 8086
basic command structures, A/D and D/A conversion process, programming of
general purpose peripherals
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Learn the fundamentals of microprocessors
and microcomputer structure
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 Learn the assembly language of 8086
microprocessor
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 Learn to interface and program the
peripherals
Lecture, Lecture with
Discussion
Midterm and Final
Exams
4 Learn the fundamentals of PC operating
systems
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Microprocessors and assembly language Textbook/ Lecture
Notes
2
2 Memory input/output and interface devices Textbook/ Lecture
Notes
2
3 Hardware structure of 8086 microprocessor Textbook/ Lecture
Notes
2
4 Instruction set of 8086 microprocessor Textbook/ Lecture
Notes
2
5 Assembly language and programming techniques Textbook/ Lecture 2
Course
Code EEE307
Course
Name Microprocessors
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor 5 English 2 0 2 3 6
COURSE INFORMATION
Notes
6 Time delay and counter operations of 8086 Textbook/ Lecture
Notes
2
7 Stack operations and subroutines Textbook/ Lecture
Notes
2
8 Midterm Exam 2
9 Code conversion, BCD arithmetic, and 16-bit data operations Textbook/ Lecture
Notes
2
10 Interfacing peripherals Textbook/ Lecture
Notes
2
11 Interfacing peripherals Textbook/ Lecture
Notes
2
12 Interrupt operations Textbook/ Lecture
Notes
2
13 Interrupt operations Textbook/ Lecture
Notes
2
14 D/A and A/D conversions and applications Textbook/ Lecture
Notes
2
15 General purpose programmable peripherals Textbook/ Lecture
Notes
2
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : 8086 Microprocessor: Programming and Interfacing the PC by Kenneth Ayala
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice 6 20
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
COURSE INFORMATION
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 28 1 28
Laboratory hours 6 2 12
Individual study for
course 5 5 25
Individual study for labs 6 5 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 5 5 25
Individual study for final
exam 5 5 25
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 4 5 5 4 3 5 2 3 1
LO2 5 5 1 4 5 5 4 3 5 2 3 1
LO3 5 5 1 4 5 5 4 3 5 2 3 1
LO4 5 5 1 4 5 5 4 3 5 2 3 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Electrical and Electronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: To teach digital processing methods of continuous-time signals and the
fundamentals of digital filter design and to gain ability for implementing signal
processing applications in various fields such as communication.
Course contents
: Signals and signal processing: General overview, discrete-time signals and
systems in the time-domain, discrete-time linear time-invariant systems,
frequency domain analysis of discrete-time signals, frequency domain analysis
of discrete-time systems, digital processing of continuous-time signals, z-
transform, applications of z-transform, discrete Fourier transform (DFT) and
fast Fourier transform (FFT), digital Filter structures, FIR filter design
methods, IIR filter design methods, analysis of finite word length effect in
digital filters.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 understand the digitization of continuous-time
signal and the sampling theorem.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
2 model, analyze, and implement analog to
digital and digital to analog conversions.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
3 learn the structure and implementation of
digital filters.
Lecture, Lecture with
Discussion
Midterm and Final
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Digitization of continuous time signals, sampling theorem,
advantages of digital signal processing
Textbook/ Lecture
Notes
3
2 Examples of typical signals and typical signal processing
applications, up sampling and down sampling
Textbook/ Lecture
Notes
3
3 Discrete-time signals and systems Textbook/ Lecture
Notes
3
4 Discrete-time linear time-invariant systems Textbook/ Lecture 3
Course
Code EEE308
Course
Name Digital Signal Processing
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad 6 English 3 0 0 3 6
COURSE INFORMATION
Notes
5
Frequency domain analysis of discrete-time signals: Discrete-
time Fourier series (DTFS) and Discrete-time Fourier
transform (DTFT)
Textbook/ Lecture
Notes
3
6 Frequency domain analysis of discrete-time systems Textbook/ Lecture
Notes
3
7 Sampling in time- and frequency domain, A/D and D/A
conversions, signal reconstruction
Textbook/ Lecture
Notes
3
8 Midterm Exam 2
9 z-transform Textbook/ Lecture
Notes
3
10 Applications of z-transform Textbook/ Lecture
Notes
3
11 Discrete Fourier transform (DFT) and Fast Fourier transform
(FFT)
Textbook/ Lecture
Notes
3
12 Digital Filter structures Textbook/ Lecture
Notes
3
13 FIR filter design methods Textbook/ Lecture
Notes
3
14 IIR filter design methods Textbook/ Lecture
Notes
3
15 Analysis of finite word length effect in digital filters Textbook/ Lecture
Notes
3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Discrete-Time Signal Processing by Alan Oppenheim and Ronald Schafer
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 40
Others
Final exam 1 60
COURSE INFORMATION
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 7 5 35
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 6 6 36
Individual study for final
exam 7 5 35
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 1 3 3 3 1 1 2 1 3 1
LO2 4 5 2 3 4 3 2 3 2 1 4 1
LO3 5 4 1 3 4 3 2 1 2 1 3 1
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Industrial and Systems Engineering
Prerequisites/Requirements
for Admission : IND 202 Operations Research 1
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) : Dr. G. Sena Daş
Course assistant(s) :
Course description/aim
: This course introduce deterministic models of Operations Research (OR)
with a focus on some OR techniques such as Integer Programming, Dynamic
Programming, Goal Programming, Nonlinear Programming and Network
Optimization.
Course contents : Topics will include; Integer Programming, Dynamic Programming, Goal
Programming, Network Optimization Models, Nonlinear Programming.
Recommended optional
program components :-
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Students will be able to
Teaching
Methods/Techniques
Assessment method(s)
1 Create a mathematical model for integer
programming problems
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
2 Use solution methods for special classes of
network optimization problems.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
3 Use special methods of solution of integer
programming problems.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
4 Create a mathematical model for nonlinear
programming problems.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
5 Use the methods of solution needed to solve
nonlinear programming problems.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
6 Use the Simplex method to find the optimal
solution of Goal Programming models
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
7 Use appropriate software to solve mentioned
mathematical models.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework, exam
Course
Code IND 301
Course
Name Operations Research 2
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor Spring English 3 0 0 3 6
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to Integer Programming Textbook/ Course
Notes
3
2 Integer Programming: Branch and Bound, Branch and Cut Textbook/ Course
Notes
3
3 Integer Programming: Cutting Plane Algorithm Textbook/ Course
Notes
3
4 Basic concepts of network models Textbook/ Course
Notes
3
5 Network optimization problems (minimum spanning tree
problems)
Textbook/ Course
Notes
3
6 Network optimization problems (shortest path problems) Textbook/ Course
Notes
3
7 Network optimization problems (maximum flow problems) Textbook/ Course
Notes
3
8 Midterm exam Textbook/ Course
Notes
3
9 Network simplex method Textbook/ Course
Notes
3
10 Network optimization problems Textbook/ Course
Notes
3
11 Introduction to Nonlinear Programming Textbook/ Course
Notes
3
12 Optimality conditions of Nonlinear Programming problems-
Midterm exam
Textbook/ Course
Notes
3
13 Goal Programming Textbook/ Course
Notes
3
14 Dynamic Programming Textbook/ Course
Notes
3
15 Dynamic Programming Textbook/ Course
Notes
3
16 Final Exam Textbook/ Course
Notes
3
17 Final Exam Textbook/ Course
Notes
Sources
Course
notes/textbooks
: Taha, Hamdy A., Operations Research: An Introduction, Eighth Edition, Prentice-Hall
International, Inc., 2007.
Readings : Related articles
Supplemental
readings
: Winston, Wayne L., Operations Research: Applications and Algorithms, Fourth
Edition, Brooks/Cole-Thomson Learning, 2004.
Hillier, Frederick S. and Lieberman, Gerald J., Introduction to Operations Research,
Eighth Edition, McGraw-Hill, 2005.
References :
COURSE INFORMATION
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 4 15
Homework 4 15
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 1 30
Others
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 4 56
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 3 2 6
Individual study for
presentation
Individual study for
project
Individual study for
quizzes 4 2 8
Individual study for
midterm exams 1 20 20
Individual study for final
exam 1 30 30
Total 153
ECTS Credit(Total/25,5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 4 3 4 3 3 3 5 3 3 3 1
LO2 1 2 1 2 4 1 5 5 1 3 1 2
LO3 3 4 3 4 2 3 2 3 2 1 3 2
COURSE INFORMATION
LO4 3 3 2 2 1 1 2 3 4 5 5 5
LO5 3 1 3 1 4 4 1 3 1 5 1 2
LO6 2 2 3 2 1 4 2 4 2 1 2 1
LO7 1 2 2 3 2 3 3 4 4 3 3 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Industrial and Systems Engineering
Prerequisites/Requirements
for Admission IND 202 Operations Research I
Mode of delivery : Face-to-face
Course coordinator : Nilgün Ferhatosmanoğlu
Course lecturer(s) : Nilgün Ferhatosmanoğlu, G. Sena Daş
Course assistant(s) :
Course description/aim
: To deliver background information about aggregate production planning,
inventory management and scheduling for enhancing competitiveness of an
organization
Course contents :Production planning strategies, Inventory management and EOQ models
Recommended optional
program components :No
Compulsory Attendance :Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course,students will be able
to
1 Identify production planning levels and
aggregate production plan strategies
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
2 Prepare aggregate production planning;
calculate the total cost of production plan for
given cost information and type of strategy
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
3 Formulate a mathematical model including
the decision variables for an aggregate
production planning problem and solve using
a general purpose software solver
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
4 Perform material and capacity requirement
planning
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
5 Perform production scheduling operations.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Basic concepts of aggregate production planning
Course
notes/textbooks
3
Course
Code IND 302
Course
Name PRODUCTION PLANNING AND CONTROL
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 6 English 3 0 0 3 6
COURSE INFORMATION
2 Mathematical models for aggregate production planning
Course
notes/textbooks
3
3 Mathematical models for aggregate production planning
Course
notes/textbooks
3
4 Demand Forecast
Course
notes/textbooks
3
5 Demand Forecast
Course
notes/textbooks
3
6 Inventory management and EOQ models
Course
notes/textbooks
3
7 Inventory management and EOQ models
Course
notes/textbooks
3
8 Midterm Exam
Course
notes/textbooks
3
9 Material Resource Planning
Course
notes/textbooks
3
10 Material Resource Planning
Course
notes/textbooks
3
11 Re-order Policies
Course
notes/textbooks
3
12 Re-order Policies
Course
notes/textbooks
3
13 Q,R optimization and periodic review systems
Course
notes/textbooks
3
14 Q,R optimization and periodic review systems
Course
notes/textbooks
3
15 Scheduling
Course
notes/textbooks
3
16 Final Exam
Course
notes/textbooks
3
17 Final Exam
Sources
Course
notes/textbooks
: 1. “Production Planning, Control and Integration”,
D. Sipper and R. Bulfin, McGraw-Hill, 1997.
2. “Operations Research in Production Planning, Scheduling,
and Inventory Control”, D.C. Montgomery, L. A. Johnson,
John Wiley & Sons, 1974
Readings :None
Supplemental
readings :None
References : Operations Research: Applications and Algorithms by Wayne L. Winston, Duxbury
Press, 1997
Evaluation System
Work Placement Number Percentage of Grade
Attendance 16 5
Quizzes 4 10
Homework 4 10
COURSE INFORMATION
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects 1 20
Midterm exam(s) 1 25
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 10 2 20
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 4 3 12
Individual study for
presentation
Individual study for
project 6 5 30
Individual study for quiz 4 2 8
Individual study for
midterm exams 3 5 15
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 4 2 3 3 3 2 2
LO2 5 2 5 3 5 4 3 3 3 3 2 3
LO3 2 3 5 5 5 4 2 3 3 3 3 2
LO4 5 5 3 5 5 4 2 3 3 3 4 2
LO5 5 5 5 5 5 4 2 3 3 3 5 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Industrial and Systems Engineering
Prerequisites/Requirements
for Admission IND 204 Statistics
Mode of delivery : Face to face
Course coordinator : Nilgün Ferhatosmanoğlu
Course lecturer(s) : Nilgün Ferhatosmanoğlu, G. Sena Daş
Course assistant(s) :
Course description/aim : To use the statistical methods and other quality tools to improve product
quality
Course contents :Basic concepts of Quality, Control Charts for Variables, Control Charts for
Attributes, Statistical Process Control
Recommended optional
program components :
Compulsory Attendance :
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able
to
1 Comprehend the meaning of quality and
distinguishes between quality of design and
quality of conformance.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
2 Understand the basics of control chart design,
i.e., effects of choice of control limits, sample
size, and sampling frequency on process
control
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
3 Choose an appropriate control chart for a
given process and use it for process
improvement
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
4 Draw a phase I control chart, and show the
phase II limits on the chart by using
MINITAB
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Meaning of Quality and Quality Improvement, Dimensions of
Quality
Statistical Quality
Control
3
2 Total Quality and Watershed in the History of Quality
Statistical Quality
Control
3
3 Chance and Assignable Causes, Basic Principles of Control
Charts
Statistical Quality
Control
3
Course
Code IND 305
Course
Name QUALITY ASSURANCE AND RELIABILITY
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 5 English 3 0 0 3 6
COURSE INFORMATION
4 Phase I and Phase II Application of Quality Charts, and Other
Quality Tools
Statistical Quality
Control
3
5 Control Chats for Variables
Statistical Quality
Control
3
6 Control Chats for Variables ( Con't)
Statistical Quality
Control
3
7 Control Charts for Attributes
Statistical Quality
Control
3
8 Midterm
Statistical Quality
Control
3
9 Control Charts for Attributes (Con't)
Statistical Quality
Control
3
10 Process Capability Analysis
Statistical Quality
Control
3
11 Process Capability Analysis ( Con't)
Statistical Quality
Control
3
12 Process Capability Analysis Using a Control Chart
Statistical Quality
Control
3
13 Basic Concepts of Gauge Capability
Statistical Quality
Control
3
14 Gauge Capability ( Con't)
Statistical Quality
Control
3
15 Projects Statistical Quality
Control
3
16 Final Exam Statistical Quality
Control
3
17 Final Exam
Sources
Course
notes/textbooks : Statistical Quality Control, D.C. Montgomery, 6th edition, Wiley
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 16 5
Quizzes 4 10
Homework 4 10
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects 1 20
Midterm exam(s) 1 25
Others
COURSE INFORMATION
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 15 2 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 4 3 12
Individual study for
presentation
Individual study for
project 6 5 30
Individual study for quiz 4 2 8
Individual study for
midterm exams 3 5 15
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 2 5 3 3 2 2 5
LO2 5 4 4 5 5 4 5 3 3 3 2 5
LO3 3 5 5 5 5 2 5 3 3 3 3 4
LO4 5 5 5 5 5 4 5 3 4 2 2 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Industrial and Systems Engineering
Prerequisites/Requirements
for Admission IND 204 Statistics
Mode of delivery : Face to face
Course coordinator
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: Introduction to Simulation; Review of Simulation Models; Statistical Models for
Simulation; Queueing Models; Inventory Systems; Random Numbers; Input Data
Analysis; Output Analysis; Verification & Validation of Simulation Models;
Evaluation of Alternative System Designs
Course contents :
Recommended optional
program components :
Compulsory Attendance :Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able
to
1 Design a system, component, or process to
meet the requirements within realistic
constraints.
Oral Presentation, Lab Quiz, lab homework,
project, exam
2 Develop a simulation model of a system and
simulate the system by hand.
Oral Presentation, Lab Quiz, lab homework,
project, exam
3 Generate random variates using random
numbers for a given probability distribution.
Oral Presentation, Lab Quiz, lab homework,
project, exam
4 Develop, run, verify, and validate a
simulation model using ARENA
Oral Presentation, Lab Quiz, lab homework,
project, exam
5 Design and conduct experiments, as well as to
analyze and interpret data.
Oral Presentation, Lab Quiz, lab homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction, Types of Simulation.
Course
notes/textbooks
3
2 Advantages and disadvantages of simulation. Steps in
simulation.
Course
notes/textbooks
3
3 Components of discrete event simulation. Collection of
statistics. Hand simulation.
Course
notes/textbooks
3
4 Probability and Statistics review. Course 3
Course
Code IND 306
Course
Name SIMULATION
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 6 English 3 0 2 3 6
COURSE INFORMATION
notes/textbooks
5 Simulation of a Single-Server Queueing System.
Course
notes/textbooks
3
6 Random Number Generators Course
notes/textbooks
3
7 Generating Random Variables. Inverse-Transform Technique.
Acceptance-Rejection Technique.
Course
notes/textbooks
3
8 Midterm Exam
Course
notes/textbooks
3
9 Input Distribution Fitting: Histogram, PP, and QQ chart.
Course
notes/textbooks
3
10 Input Distribution Fitting: Goodness of fit tests: Chi-square
test, KS test.
Course
notes/textbooks
3
11 Verification and Validation of Simulation Models.
Course
notes/textbooks
3
12 Output Analysis: Confidence Interval, Terminating
simulations.
Course
notes/textbooks
3
13 Output Analysis: Warm-up period, autocorrelation. Non-
terminating simulations.
Course
notes/textbooks
3
14 Output Analysis: Comparison and Evaluation of Alternative
System Designs.
Course
notes/textbooks
3
15 Variance Reduction Techniques: Indirect measures, control
variants.
Course
notes/textbooks
3
16 Final Exam
Course
notes/textbooks
3
17 Final Exam
Sources
Course
notes/textbooks
: 1. Banks, J., Carson II, J.S. and Nelson, B.L. (2009). Discrete-Event System
Simulation (5th ed.). Prentice Hall. 0136062121.
2. Kelton, W.D., Sadowski, R.P., and Sturrock, D.T. (2010). Simulation with Arena
(5th ed.). McGraw-Hill. 0072919817.
Readings :
Supplemental
readings
: 1. Law, A.M. and Kelton, W.D. (2000). Simulation Modeling and Analysis (3rd ed.).
McGraw-Hill. 0070592926.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 16 5
Quizzes
Homework 4 10
Presentation
Laboratory/Practice 4 10
Report(s)
Graduate Thesis/Project
Seminar
Projects 1 20
Midterm exam(s) 1 25
COURSE INFORMATION
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 15 2 30
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 4 3 12
Individual study for
presentation
Individual study for
project 4 5 20
Individual study for quiz 4 2 8
Individual study for
midterm exams 3 5 15
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 3 2 3 3 4 1 2
LO2 3 5 3 5 5 4 3 3 2 3 1 3
LO3 3 2 5 2 3 3 2 2 3 4 1 2
LO4 5 5 5 5 5 4 3 3 3 3 1 2
LO5 5 5 3 5 5 4 2 3 3 4 1 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department :Industrial and Systems Engineering
Prerequisites/Requirements
for Admission :None
Mode of delivery : Face to face
Course coordinator : Nilgün Ferhatosmanoğlu
Course lecturer(s) : Nilgün Ferhatosmanoğlu, G. Sena Daş
Course assistant(s) :
Course description/aim
: To introduce the basic probability concepts such as probability, random variables,
and their distribution functions and to teach basic statistical techniques used in
parameter estimation
Course contents : Random Variables, Discrete and Continuous Probability Distributions,
Sampling Distributions, Sample Statistics, Hypothesis Testing and p-value
Recommended optional
program components :
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Comprehend the basic concepts of probability
such as conditionality, independence of
events, expected value and randomness.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
2 Decide in which situations to apply discrete
and continuous distributions.
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
3 Compute measures of central tendency (mean,
median) and deviation (range, standard
deviation) of a given sample and population
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
4 Formulate an appropriate one or two sided
hypotheses test, performs the test and clearly
states the result of the test in the problem
context
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
5 Comprehend the meaning of P- value and
decides on whether to reject the null
hypothesis based on P-value
Lecture, question-
answer, discussion,
problem solving
Quiz, homework,
project, exam
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to Probability Course
notes/textbooks
3
2 Axioms and Theorems of Probability, Conditional Probability Course 3
Course
Code IND 323
Course
Name PROBABILITY AND STATISTICS
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 5 English 3 0 0 3 6
COURSE INFORMATION
and Bayes Theorem notes/textbooks
3 Random Variables Course
notes/textbooks
3
4 Functions of a Random Variable and Computation of
Expected Value
Course
notes/textbooks
3
5 Discrete Probability Distributions Course
notes/textbooks
3
6 Discrete Probability Distributions (cont’d) Course
notes/textbooks
3
7 Continuous Probability Distributions Course
notes/textbooks
3
8 Midterm Exam Course
notes/textbooks
3
9 Sample and Population Mean, Variance, Stem and Leaf
Diagram
Course
notes/textbooks
3
10 Sampling Distribution of Means and Central Limit Theorem
Course
notes/textbooks
3
11 Interval Estimation for a Single Sample: Confidence Intervals
(Known Variance)
Course
notes/textbooks
3
12 Confidence Intervals (Unknown Variance): t-distribution,
Large Sample CIs
Course
notes/textbooks
3
13 Hypotheses Testing for a Single Sample (Known Variance):
Type 1, Type 2 error, Power of a Test
Course
notes/textbooks
3
14 Hypotheses Testing for a Single Sample (Unknown Variance):
t-test, chi-square test
Course
notes/textbooks
3
15
Hypotheses Testing for Two Samples: Inference for a
difference of two means. Hypotheses Testing for Two
Samples: paired t-test
Course
notes/textbooks
3
16 Final Exam
Course
notes/textbooks
3
17 Final Exam
Course
notes/textbooks
Sources
Course
notes/textbooks
: Douglas C. Montgomery and George C. Runger , Applied Statistics and Probability for
Engineers, 5th edition, Wiley
Readings :
Supplemental
readings
: W.W. Hines, D.C. Montgomery, D.M. Goldsman, C.M. Borror, Probability and
Statistics in Engineering, , 4th Ed., John Wiley & Sons, Inc.
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 16 5
Quizzes 4 10
Homework 4 10
Presentation
Laboratory/Practice
Report(s)
COURSE INFORMATION
Graduate Thesis/Project
Seminar
Projects 1 20
Midterm exam(s) 1 25
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 10 2 20
Midterm exam(s) 1 2 2
Final exam 1 3 3
Individual study for
homework 4 2 8
Individual study for
presentation
Individual study for
project 6 5 30
Individual study for quiz 4 2 8
Individual study for
midterm exams 4 5 20
Individual study for final
exam 3 5 15
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 3 4 4 5 3 1 4 3 2 1 2
LO2 2 2 3 4 3 4 1 2 2 4 1 3
LO3 4 3 4 4 3 5 1 4 3 4 1 3
LO4 4 4 4 3 4 3 1 5 4 3 1 3
LO5 5 4 4 4 4 4 1 4 4 3 1 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : To get the necessary basic knowledge about Numerical Methods
Course contents
: Mathematical modeling and programming. Approximate calculations. Error
analysis, cutting and rounding errors. Methods of numerical solution of
algebraic equations. Solutions of linear equations: Gauss Elimination method,
LU-Partitioning and replication methods. Matrix inverse calculation. Curve
fitting. Regression. Interpolation: Lagrange, Newton and Gauss formulas.
Numerical integration methods: trapezoidal, Simpson and Romberg methods.
Methods of numerical solution of ordinary differential equations: Euler and
Runge-Kutta methods.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able to:
1 Aware of Mathematical modeling and programming, Approximate calculations, error analysis, cutting and rounding errors
Example problem
solving
Exam, questions and
answers
2 Know the methods of numerical solution of algebraic equations
Example problem
solving
Exam, questions and
answers
3 Know the methods of solutions of linear equations( Gauss Elimination method LU-Partitioning and Replication).
Example problem
solving
Exam, questions and
answers
4 Aware of Matrix inverse calculation, Curve fitting, Regression. Interpolation: Lagrange, Newton and Gauss formulas. Numerical integration
Example problem
solving
Exam, questions and
answers
5 Know the methods of numerical solution of ordinary differential equations
Example problem
solving
Exam, questions and
answers
6 Aware of the Euler and Runge-Kutta methods Example problem
solving
Exam, questions and
answers
Course
Code MAT3xx
Course
Name Numerical Methods
Type
of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 6 English 3 0 0 3 5
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Mathematical modeling and programming. Approximate calculations. Error analysis, cutting and rounding errors.
Textbook/ Lecture
Notes
3
2 Methods of numerical solution of algebraic equations. Solutions of linear equations
Textbook/ Lecture
Notes
3
3 Gauss Elimination method, LU-Partitioning and replication methods.
Textbook/ Lecture
Notes
3
4 Gauss Elimination method, LU-Partitioning and replication methods.
Textbook/ Lecture
Notes
3
5 Matrix inverse calculation. Textbook/ Lecture
Notes
3
6 Curve fitting. Textbook/ Lecture
Notes
3
7 Regression. Interpolation: Lagrange, Newton and Gauss formulas.
Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
2
9 Regression. Interpolation: Lagrange, Newton and Gauss formulas.
Textbook/ Lecture
Notes
3
10 Numerical integration methods: trapezoidal, Simpson and Romberg methods.
Textbook/ Lecture
Notes
3
11 Numerical integration methods: trapezoidal, Simpson and Romberg methods.
Textbook/ Lecture
Notes
3
12 Methods of numerical solution of ordinary differential equations Midterm Exam II
Textbook/ Lecture
Notes
3
13 Methods of numerical solution of ordinary differential equations
Textbook/ Lecture
Notes
3
14 Euler and Runge-Kutta methods. Textbook/ Lecture
Notes
3
15 Euler and Runge-Kutta methods. Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
3
17 Final Exam Textbook/ Lecture
Notes
Sources
Course
notes/textbooks
Numerical Methods in Engineering Practice by AW. Al-Khafaji, JR. Tooley
Readings :
Supplemental
readings :
References :
COURSE INFORMATION
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 40
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 2 2 4
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 2 10 20
Individual study for final
exam 3 10 30
Total 127
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 2 2 1 2 3 3 3 3 4 2
LO2 5 2 2 4 1 2 3 3 1 3 3 3
LO3 5 2 2 3 2 2 3 3 1 2 3 2
LO4 5 2 2 4 1 2 3 4 2 3 4 2
LO5 5 2 2 2 2 2 3 3 2 3 4 2
LO6 5 2 2 4 1 2 3 3 1 3 3 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
:To gain knowladge about casting, welding, and machining processes to
introduce the principles of these processes, currently used equipments and
application fields, to teach basic calculations for the used methods.
Course contents
: Iron and steel fabrication. Casting and welding techniques. Heat process of
metals. Cold and hot shaping of metals. Metal cutting techniques. Metrology.
Powder metallurgy.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able to:
1 Have knowledge about the principles and
applications fields of manufacturing
processes.
Lecture and problem
solving
Testing and homework
2 Have knowledge about the advantages and
disadvantages of each manufacturing
processes among others.
Lecture and problem
solving
Testing and homework
3 Know and choose the appropriate equipment
for the process.
Lecture and problem
solving
Testing and homework
4 Choose the appropriate manufacturing
process for a significant machine element in
designing process.
Lecture and problem
solving
Testing and homework
5 Calculate basic equations for a traditional
manufacturing process.
Lecture and problem
solving
Testing and homework
6 Choose the parameter for a specific process. Lecture and problem
solving
Testing and homework
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Classification of modern welding methods in general, physical
princibles
Textbook/ Lecture
Notes
3
2 Arc welding methods and equipments Textbook/ Lecture 3
Course
Code MEC301
Course
Name Manufacturing Techniques
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad. 5 English 3 0 0 3 7
COURSE INFORMATION
Notes
3 Advanced welding techniques and equipments Textbook/ Lecture
Notes
3
4 Introduction to casting technology, classification of casting
methods, metallurgical principles, solidification, patterns
Textbook/ Lecture
Notes
3
5 Sand casting, molding materials, molding machines, shell
mold casting, precision cast
Textbook/ Lecture
Notes
3
6 Permanent mold casting, pressure casting, centrifugal casting,
melting furnaces, finishing operations
Textbook/ Lecture
Notes
3
7 Classifications of plastic forming methods, mechanical and
metallurgical principles
Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
2
9 Hot forming, rolling, extrusion and forging methods Textbook/ Lecture
Notes
3
10 Cold forming methods, wire drawing, steel plate forming,
cutting, bending, spinning, deep drawing, presses
Textbook/ Lecture
Notes
3
11 Classification of machining processes and principles, chip
generation, tools and tools life
Textbook/ Lecture
Notes
3
12 Turning, milling, planning machine
Midterm Exam II
Textbook/ Lecture
Notes
3
13 Milling cutter, broaching screwing, grinding, finishing
operations
Textbook/ Lecture
Notes
3
14 Powder metallurgy Textbook/ Lecture
Notes
3
15 Powder metallurgy Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
3
17 Final Exam Textbook/ Lecture
Notes
Sources
Course
notes/textbooks : Making It: Manufacturing Techniques for Product Design by C. Lefteri
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
COURSE INFORMATION
Projects
Midterm exam(s) 2 40
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 2 2 4
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 2 30 60
Individual study for final
exam 4 10 40
Total 177
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 3 1 1 2 1 2 1 5 3
LO2 5 5 2 3 2 1 2 1 2 2 5 3
LO3 3 2 5 3 2 1 2 1 2 1 3 3
LO4 3 5 4 4 1 1 2 1 2 2 5 3
LO5 5 4 5 3 1 1 2 1 2 1 3 3
LO6 5 5 5 3 2 1 2 1 2 1 5 3
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : This course presents machine design considering static and dynamic force analysis
of machines and kinematic analysis and syntheses of mechanisms .
Course contents
:Basic principles of mechanisms, static and dynamic force analysis of
machines, single dof damped and undamped vibrations, resonance, critical
speed of rotary elements, balancing of machines, dynamics of cam
mechanisms.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
At the end of this course, students will be able to: 1. Know the basic principles of
mechanisms Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 2. Interpret kinematic behavior of
mechanisms Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 3. Perform force analysis of
machines Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 4. Grasp the vibrations of single
degree of freedom systems Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 5. Know the principles of resonance Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 6. Determine the critical speeds of
shafts Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 7. Know the principles of vibration
measurement devices Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 8. Know vibration isolation Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 9. Perform mass balancing of
machines Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 10. Calculate balancing of the rotors Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 11. Obtain smooth movement of the
machines Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 12. Select appropriate flywheel Theoretical Lecture, Solving
Exercises
Homeworks, Question-Answer,
Exams 13. Know the dynamics of the cam Theoretical Lecture, Solving Homeworks, Question-Answer,
Course
Code MEC 304
Course
Name Theory of Machine
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Bachelor. 6 English 3 0 0 3 6
COURSE INFORMATION mechanisms Exercises Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction: Mechanisms Textbook/Lecture
Notes
3
2 Basic principles of mechanisms, Textbook/Lecture
Notes
3
3 Static and dynamic force analysis of machines, Textbook/Lecture
Notes
3
4 Static and dynamic force analysis of machines, Textbook/Lecture
Notes
3
5 Single dof damped and undamped vibrations, Textbook/Lecture
Notes
3
6 Single dof damped and undamped vibrations, Textbook/Lecture
Notes
3
7 Single dof damped and undamped vibrations, Textbook/Lecture
Notes
3
8 Midterm Exam I Textbook/Lecture
Notes
2
9 Resonance, Textbook/Lecture
Notes
3
10 Critical speed of rotary elements, Textbook/Lecture
Notes
3
11 Critical speed of rotary elements, Textbook/Lecture
Notes
3
12 Balancing of machines,
Midterm Exam II
Textbook/Lecture
Notes
3
13 Balancing of machines, Textbook/Lecture
Notes
3
14 Dynamics of cam mechanisms. Textbook/Lecture
Notes
3
15 Dynamics of cam mechanisms. Textbook/Lecture
Notes
3
16 Final Exam Textbook/Lecture
Notes
3
17 Final Exam Textbook/Lecture
Notes
Sources
Course
notes/textbooks : Theory of Machines and Mechanisms by J. Uicker, G. Pennock and J. Shigley
Readings :
COURSE INFORMATION
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42 5
Quizzes
Homework 4 5
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects
Midterm exam(s) 2 40
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Midterm exam(s) 2 2 4
Final exam 1 3 3
Individual study for
homework 4 8 32
Individual study for
presentation 0 0 0
Individual study for
project 0 0 0
Individual study for
midterm exams 4 10 40
Individual study for final
exam 4 10 40
Total 161
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 1 5 5 5 5 4 LO2 5 5 5 4 5 5 5 2 5 5 5 3 LO3 5 5 5 5 4 5 1 5 5 5 5 4
COURSE INFORMATION LO4 5 5 5 4 5 4 1 5 5 5 5 3 LO5 5 5 5 5 5 5 3 2 3 5 5 2 LO6 5 5 5 4 5 5 1 5 5 5 5 3 LO7 5 5 5 5 4 5 1 5 5 5 5 2 LO8 5 5 5 3 5 5 3 5 5 5 5 3 LO9 5 5 5 5 5 5 1 2 3 5 5 2 LO10 5 5 5 3 5 5 3 5 5 5 5 3 LO11 5 5 5 5 4 5 3 5 5 5 5 2 LO12 5 5 5 5 5 5 1 5 5 5 5 2 LO13 5 5 5 5 5 5 1 5 5 5 5 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : To teach the basics of heat transfer mechanisms
Course contents
:Mechanisms of heat transfer, steady one-dimensional heat conduction,
thermal resistance, heat transfer systems, analytical and numerical solution of
two-dimensional, unsteady heat conduction, forced and natural convection
heat transfer, radiation heat transfer.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able to:
1 Learn the mechanisms of heat transfer Example problem
solving
Exam, questions and
answers
2 Know steady one-dimensional heat conduction, thermal resistance, heat transfer systems, analytical and numerical solution of two-dimensional
Example problem
solving
Exam, questions and
answers
3 Know unsteady heat conduction, forced and natural convection heat transfer, radiation heat transfer
Example problem
solving
Exam, questions and
answers
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 The mechanisms of heat transfer Textbook/ Lecture
Notes
3
2 Steady one-dimensional heat conduction, thermal resistance Textbook/ Lecture
Notes
3
3 Steady one-dimensional heat conduction, thermal resistance, Textbook/ Lecture 3
Course
Code MEC305
Course
Name Heat Transfer
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice)
Laborat
ory
Local
Credits ECTS
Elective Bachelor 5 English 3 0 0 3 6
COURSE INFORMATION
Notes
4 Steady one-dimensional heat conduction, thermal resistance,
5 Analytical and numerical solution of two-dimensional heat
conduction systems
Textbook/ Lecture
Notes
3
6 Analytical and numerical solution of two-dimensional heat
conduction systems
Textbook/ Lecture
Notes
3
7 Analytical and numerical solution of two-dimensional heat
conduction systems
Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
2
9 Unsteady heat conduction Textbook/ Lecture
Notes
3
10 Unsteady heat conduction Textbook/ Lecture
Notes
3
11 Forced and natural convection heat transfer Textbook/ Lecture
Notes
3
12 Forced and natural convection heat transfer
Midterm Exam II
Textbook/ Lecture
Notes
3
13 Forced and natural convection heat transfer Textbook/ Lecture
Notes
3
13 Radiation heat transfer Textbook/ Lecture
Notes
3
15 Radiation heat transfer Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
3
17 Final Exam Textbook/ Lecture
Notes
Sources
Course
notes/textbooks
Heat Transfer by J.P. Holman
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
COURSE INFORMATION
Midterm exam(s) 2 40
Others
Final exam 1 50
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 2 2 4
Final exam 1 3 3
Individual study for
homework
Individual study for
midterm exams 3 10 30
Individual study for final
exam 4 10 40
Total 157
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 2 2 2 1 2 3 3 1 3 4 2
LO2 5 3 3 4 1 1 3 4 1 3 3 2
LO3 5 2 2 4 1 2 3 3 1 3 2 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechanical Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to Face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim : The subject of the course is to design machine elements
Course contents
: Analysis of Stress, Strain Energy, Columns, Design for Static Loading,
variable loading for the design, Shafts and axles. Rolling bearings, Spur gears,
Helical and Bevel gears, Spiral gears and Worm gear mechanisms.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
At the end of this course, students will be able to:
1 Design machine elements Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
2 Analyse mechanical respose of the elements
using the relevant mechanical properties
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
3 Analyse the stress-strain distributions in the
elements
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
4 Define static and dynamic behaviour of the
elements and their consequences
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
5 Define different joining techniques of the
elements and to make the relevant
calculations
Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
6 Investigate power transmission elements Theoretical Lecture,
Solving Exercises
Exams, Question-
Answer
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Preliminary information and general explanations Textbook/ Lecture
Notes
3
2 Notes from Statics and Strength of Materials Textbook/ Lecture
Notes
3
3 Analysis of stress Textbook/ Lecture
Notes
3
4 Strain energy Textbook/ Lecture 3
Course
Code MEC306
Course
Name Machine Elements
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergrad. 6 English 3 0 0 3 7
COURSE INFORMATION
Notes
5 Columns Textbook/ Lecture
Notes
3
6 Design for static loading Textbook/ Lecture
Notes
3
7 Variable loading for the design-I Textbook/ Lecture
Notes
3
8 Midterm Exam I Textbook/ Lecture
Notes
1
9 Variable loading for the design-II Textbook/ Lecture
Notes
3
10 Variable loading for the design-III Textbook/ Lecture
Notes
3
11 Shafts and axles-I Textbook/ Lecture
Notes
3
12 Shafts and axles-II
Midterm Exam II
Textbook/ Lecture
Notes
3
13 Rolling bearings and spur gears Textbook/ Lecture
Notes
3
14 Helical and bevel gears Textbook/ Lecture
Notes
3
15 Spiral and worm gears Textbook/ Lecture
Notes
3
16 Final Exam Textbook/ Lecture
Notes
2
17 Final Exam Textbook/ Lecture
Notes
Sources
Course
notes/textbooks : Mechanical Engineering by R. Budynas and K. Nisbett
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes 2 10
Homework
Presentation
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects
Midterm exam(s) 2 40
Others
Final exam 1 50
COURSE INFORMATION
Total 100
Percentage of semester work 50
Percentage of final exam 50
Total 100
Workload Calculation
Activity Week Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 3 42
Midterm exam(s) 2 1 2
Final exam 1 2 2
Individual study for
homework
Individual study for
midterm exams 3 10 30
Individual study for final
exam 4 15 60
Total 178
ECTS Credit(Total/25.5) 7
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 4 1 2 4 1 1 1 3 2 1 2
LO2 5 2 1 2 4 1 1 1 3 2 2 3
LO3 5 2 2 2 4 1 3 2 4 3 1 1
LO4 5 4 1 2 4 1 3 1 3 2 1 2
LO5 5 3 2 2 4 1 3 2 4 3 2 4
LO6 5 4 1 2 4 1 1 1 3 2 2 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronic Engineering
Prerequisites/Requirements
for Admission : MCH302
Mode of delivery : Lectures, Homeworks, Laboratories and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: The aim of this course is to introduce design principles and system integration
concepts in mechatronics engineering. Basics of sampling, aliasing and digital
filtering will be introduced. Real-time control principles will also be discussed. PC-
based real-time control principles will be introduced and rapid prototyping of control
systems using several toolboxes of Matlab will be performed. Another important aim
of the course is the analysis and design of control systems using several state-of-the-
art control setups.
Course contents
: Sensors. Signal types. Signal characteristics. Sampling and quantization.
Aliasing. A/D conversion. Actuators. Drive characteristics. D/A conversion.
PWM. Power amplifiers. Mathematical modeling of various systems.
Controller design. Classical controllers. State-space approach to control
problems. Design of a state-space controller. Parameter and state estimation.
PC based data acquisition boards. Rapid prototyping of control systems.
Software-in-the-loop and hardware-in-the-loop systems. PC based control
systems. Controller hardware. Various embedded controllers. Communication
systems. System Integration.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand basic principles of digital signal
processing and digital filtering
Lectures Homeworks and Exams
2 Understand basic principles of control
systems design
Lectures Homeworks and Exams
3 Design, develop and implement a simple
mechatronic system
Lectures Homeworks and Exams
4 Understand and implement basic system
integration techniques in the development of
mechatronic products
Lectures Homeworks and Exams
5 Work individually or in groups Lectures Homeworks and Exams
Course
Code MCH401
Course
Name Mechatronic Instrumentation
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 7th
English 4 2 0 5 6
COURSE INFORMATION
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Linear systems, signals and signal characteristics 4
2 Sampling, quantization and aliasing 4
3 A/D and D/A conversion 4
4 Digital filtering concepts 4
5 Design of basic digital filters 4
6 Sensor modeling and interfacing 4
7 Actuator and electrical drives 4
8 Midterm exam 3
9 Modeling second order systems 4
10 Design of PID controllers 4
11 Rapid prototyping of control systems using Matlab 4
12 Design of a controller for position and speed control of a
rotary servo system
4
13 State space approach to control problems 4
14 Design of a PID controller for an inverted pendulum setup 4
15 Design of LQR system for an inverted pendulum setup 4
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: PID Controllers: Theory, Design and Tuning. Tore Hagglund. ISA. 1995
: Mechatronics System Design: SI, D. Shetty, R. A. Kolk, 2010., Instrumentation and
Control Systems, 2006., and Lecture Notes
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice 2 20
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects 1 20
Midterm exam(s) 1 30
Others -
Final exam 1 20
Total 100
Percentage of semester work 80
Percentage of final exam 20
COURSE INFORMATION
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 4 56
Individual study for
course 10 2 20
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 5 2 10
Individual study for
midterm exams 4 3 12
Individual study for
project 5 5 25
Individual study for final
exam 6 4 24
Total 154
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 3 3 3 4 4 4 3 4 3 3 2
LO2 3 3 4 4 4 5 3 2 3 4 3 3
LO3 4 3 2 3 5 2 4 2 4 4 3 2
LO4 4 2 2 4 3 3 3 2 2 4 4 5
LO5 3 3 5 4 4 4 3 4 4 3 3 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MCH301, EEE302, COM306
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: The main objective of this course is to introduce the basic concepts of mobile robots
including the history, locomotion and sensing mechanism and robot control
paradigms. Special emphasis will be given to swarm robotics.
Course contents
: History of autonomous robotics: Braitenberg´s vehicles, Walter Grey
Walter´s tortoises. Locomotion and sensing of robots. Robot control paradigms
and architectures. Hierarchical paradigm: STRIPS, RCS. Reactive paradigm;
Arbib´s schemas, Brooks´ subsumption architecture, behaviors, potential
fields. Hybrid paradigm: AuRo, SSS, RAP´s. Mobile robot navigation:
Localization,Map-making, SLAM, route planning. Basic principles of swarm
robotics.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Design simple behaviors for autonomous
robots
Lectures Homeworks and Exams
2 Understand basic robot control paradigms Lectures Homeworks and Exams
3 Understand basics of hand-coded and
automatic behavior design methods
Lectures Homeworks and Exams
4 Conceptualize a simple robotic system Lectures Homeworks and Exams
5 Work individually and in groups of students
in different disciplines
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 History of Autonomous robotics 3
2 Braitenberg’s vehicles, Walter Grey Walter’s tortoises 3
3 Locomotion and sensing in robots 3
4 Computational elements of robts 3
5 Robot control paradigms and architectures 3
6 Hierarchical paradigm: STRIPS, RCS 3
Course
Code MCH402
Course
Name Swarm Robotics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 8th
English 3 0 0 3 6
COURSE INFORMATION
7 Reactive paradigm: Arbib’s schemas 3
8 Midterm 3
9 Subsumption architecture 3
10 Behavior based robotics, Potential fields 3
11 Hybrid paradigm: AuRo, SSS, RAP 3
12 Mobile robot navigation: Localization, Map making 3
13 SLAM, route planning 3
14 Basic principles of swarm robotics 3
15 Various types of behaviors in swarm robotics 3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: Introduction to Autonomous Mobile Robots, Siegwart, Nourbakhsh, Scramuzza. 2011.
Lecture Notes.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for 10 5 50
COURSE INFORMATION
homework
Individual study for
midterm exams 4 3 12
Individual study for final
exam 6 4 24
Total 151
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 2 3 3 4 4 4 3 4 3 3 3
LO2 3 3 4 4 4 4 3 4 4 3 3 3
LO3 5 4 3 5 5 2 4 4 4 3 3 4
LO4 3 2 3 4 5 3 3 4 4 3 3 2
LO5 3 2 5 4 4 4 3 4 4 3 3 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MCH301, EEE302
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: Students are expected to understand and be skilled at applying advanced state-space
control systems and design methods theoretically and practically to several of control
engineering problems.
Course contents
: Introduction to state-space; Modeling of simple systems; State transition
matrix, impulse response matrix; modal decomposition and structural
properties of systems; stability of systems; controllability and observability;
minimal realization; state-feedback control design; pole placement method;
observer design; reduced order observer.
Recommended optional
program components :
Compulsory Attendance :70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Model multi-input and multi-output systems; Lectures and Labs Homeworks and Exams
2 Determine whether or not a given system can
be controlled and observed and if it is stable;
Lectures and Labs Homeworks and Exams
3 Design a constant gain feedback controller Lectures and Labs Homeworks and Exams
4 Design observers to estimate the states of the
dynamic systems;
Lectures and Labs Homeworks and Exams
5 Use MATLAB toolboxes for the state-space-
based design of control systems.
Lectures and Labs Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to State-Space Method Lecture Notes and books 3
2 Modeling Dynamical Systems in State-Space Lecture Notes and books 3
3 Modeling Dynamical Systems in State-Space Lecture Notes and books 3
4 Analysis of the State Equations Lecture Notes and books 3
5 Control-Law Design for Full-State Feedback Lecture Notes and books 3
6 Pole Placement Lecture Notes and books 3
7 Estimator Design Lecture Notes and books 3
8 Mid-term Exam Lecture Notes and books 3
Course
Code MCH403
Course
Name MODERN CONTROL
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 7th
English 3 0 0 3 6
COURSE INFORMATION
9 Compensator Design Lecture Notes and books 3
10 Introduction of the Reference Input with the Estimator Lecture Notes and books 3
11 Integral Control and Robust Tracking Lecture Notes and books 3
12 Loop Transfer Recovery (LTR) Lecture Notes and books 3
13 Direct Design with Rational Transfer Functions Lecture Notes and books 3
14 Design for Systems with Pure Time Delay Lecture Notes and books 3
15 Design for Systems with Pure Time Delay Lecture Notes and books 3
16 Final Exam Lecture Notes and books 3
17 Final Exam Lecture Notes and books
Sources
Course
notes/textbooks
:Franklin, G F, Powell, J D and Emami-Naeini, A, Feedback Control of Dynamic
Systems, Prentice Hall; 6 edition (October 3, 2009); Franklin, G F, Powell, J D and
Workman, M L, Digital Control of Dynamic Systems, Published exclusively by Ellis-Kagle
Press since 2006; Ogata, K, Designing Linear Control Systems with Matlab,
Readings : Lecture Notes
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for 10 5 50
COURSE INFORMATION
homework
Individual study for
midterm exams 4 3 12
Individual study for final
exam 6 4 24
Total 151
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11
LO1 4 3 3 4 4 3 3 3 4 3 3
LO2 4 4 4 3 3 3 3 4 5 4 3
LO3 5 4 5 4 4 3 3 5 4 4 3
LO4 3 3 3 3 4 3 2 4 3 4 3
LO5 3 5 5 3 4 3 3 4 4 4 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH404 Course
Name
SPACE MECHATRONICS
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Elective Bachelor 8th English 3 0 0 3 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: MCH201, MEC202, EEE302
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to introduce the students the concepts regarding the
design and analysis of large space mechatronic systems. Ability of modeling, design
and analysis of satellites in space environment. Ability of Assembly, Integration and
Testing Procedures of Satellites. Use engineering judgment to validate the results of
numerical simulations. Employ appropriate numerical methods to advance the
equations of attitude motion for spacecraft systems . Use engineering judgment to
validate the results of numerical simulations. Be able to give students practice in the
use of finite elements in design and analysis of space mechatronic systems.
Course contents : Space systems, Payload, Mission analysis, Space environment, Satellite operation,
Launch services, Reliability, Mechanical architecture, Thermal architecture,
Dynamics and flight control, Propulsion, Avionics, High reliability components,
Satellite integration and test Quality assurance, Satellite engineering process, tools
and techniques.
Recommended optional
program components
: --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Apply mechatronic engineering principles for
design of satellites.
Lectures Homeworks and Exams
2 Design a large mechatronic system, component,
or process to meet desired needs.
Lectures Homeworks and Exams
3 Identify, formulate and solve space engineering
problems.
Lectures Homeworks and Exams
4 Communicate effectively. Lectures Homeworks and Exams
5 Use the techniques, skills and modern engineering
tools necessary for engineering practice.
Lectures Homeworks and Exams
6 Perform project management activities in large
scale mechatronic systems.
Lectures Homeworks and Exams
Weekly Detailed Course Content
COURSE INFORMATION
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction 3
2 Payload 3
3 Mission analysis 3
4 Space environment 3
5 Satellite operation 3
6 Launch services 3
7 Reliability 3
8 Midterm Exam 3
9 Mechanical architecture 3
10 Thermal architecture 3
11 Dynamics and flight control 3
12 Propulsion 3
13 Avionics 3
14 High reliability components 3
15 Satellite integration and test, Quality assurance, Satellite
engineering process, tools and techniques
3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Lecture Notes.
Readings :
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 2 40
Others -
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
COURSE INFORMATION
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for course 4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 3 4 3 3 2
LO2 4 3 4 4 4 5 3 4 3 3 3 3
LO3 5 4 5 5 5 5 4 4 4 3 3 4
LO4 3 2 3 4 5 3 3 4 4 3 3 2
LO5 3 3 5 4 4 4 3 4 4 3 3 2
LO6 3 3 4 5 5 3 3 3 3 3 3 3
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH405 Course
Name
MECHANICALVIBRATIONS
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Compulsory Bachelor 4th
English 3 0 0 3 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: Engineering Mechanics, Dynamics
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to give the students
Derive the equations of motion of single and multi-degree of freedom systems, using
Newton's Laws and energy methods.
Determine the natural frequencies and mode shapes of single and multi-degree of
freedom systems.
Evaluate the dynamic response of single and multi-degree of freedom systems under
impulse loadings, harmonic loadings, and general periodic excitation.
Apply modal analysis and orthogonality conditions to establish the dynamic
characteristics of multi-degree of freedom systems.
Generate finite element models of discrete systems to simulate the dynamic response
to initial conditions and external excitations.
Course contents : Harmonic motion; natural frequencies and vibration of damped and undamped single
and multi-degree of freedom systems; modal analysis; influence coefficients; lumped-
mass modeling; dynamic load factors; Rayleigh's method; flow-induced vibrations;
shaft whirl; balancing; vibration absorbers and tuned mass dampers; finite element
modeling.
Recommended optional
program components
: --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Identify, formulate and solve engineering
problems.
Lectures Homeworks and Exams
2 Understand of professional and ethical
responsibility.
Lectures Homeworks and Exams
3 Understand the impact of engineering
solutions in a global and societal context.
Lectures Homeworks and Exams
4 Recognize of the need for and an ability to
engage in life-long learning.
Lectures Homeworks and Exams
5 Have knowledge of contemporary issues. Lectures Homeworks and Exams
6 Use the techniques, skills and modern
engineering tools necessary for appl'ed
mechatronic engineering.
Lectures Homeworks and Exams
7 Design basic mechatronic systems and
structures under vibratory loads.
Lectures Homeworks and Exams
Weekly Detailed Course Content
COURSE INFORMATION
Week Content Recommended
Resource(s)
Time
(Hours)
1 Harmonic motion, Fourier series and complex notation. 3
2 Equivalent springs, damping elements and inertia elements. 3
3 Free and forced response of single degree of freedom systems. 3
4 Steady state response to support excitation and general
periodic excitation.
3
5 Transient vibration due to nonharmonic excitation. 3
6 Impulse loadings and dynamic load factors. 3
7 Lumped mass modeling of discrete and continuous systems. 3
8 Midterm Exam 3
9 Influence coefficients for stiffness, flexibility and damping. 3
10 Determination of natural frequencies and modeshapes of
multi-degree of freedom systems.
3
11 Modal analysis and orthogonality. 3
12 Free response of multi-degree of freedom systems with initial
conditions.
3
13 Vibration absorbers, dampers and tuned mass dampers. 3
14 Finite element modeling. 3
15 Finite element modal and transient analysis. 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Vibration of Mechanical and Structural Systems, M. L. James, G. M. Smith, J. C.
Wolford and P. W. Whaley, 2nd Edition., and Lecture Notes.
Readings :
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 40
Others -
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
COURSE INFORMATION
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course
4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 5.8
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 3 4 3 3 2
LO2 4 3 4 4 4 5 3 4 3 3 3 3
LO3 4 4 5 5 5 5 4 4 4 3 3 4
LO4 3 3 3 3 5 4 3 4 4 3 3 2
LO5 4 3 5 4 4 4 2 4 3 3 3 2
LO6 3 3 4 5 5 3 3 3 3 3 3 3
LO7 3 3 4 3 4 5 4 5 3 3 3 3
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronic Engineering
Prerequisites/Requirements
for Admission : EEE302
Mode of delivery : Lectures, Homeworks, Laboratories and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: The aim of this course is to introduce basic concepts of manufacturing and
automation systems. Students will get acquainted with the basics of CNC machine
tools, programming and control. Basic concepts of PLC and SCADA systems will
also be taught.
Course contents
: Introduction to manufacturing engineering. Integrated manufacturing and
control. Basics of CNC machine tools. Parts programming. PLC. Ladder
diagrams. SCADA systems. Large scale automation systems.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Construct ladder diagrams and program PLC Lectures Homeworks and Exams
2 Understand basic principles of CNC machine
tools.
Lectures Homeworks and Exams
3 Program CNC lathes and milling machines Lectures Homeworks and Exams
4 Understand basic principles of automation in
small and large scale
Lectures Homeworks and Exams
5 Work individually or in groups Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to process control 3
2 Integrated manufacturing and control 3
3 Introduction to digital systems 3
4 Axis and motion nomenclature 3
5 Tooling and general considerations for programming 3
6 Part programming 3
7 Numerical control structure: control unit, machine interface,
position and motion control
3
8 Midterm exam 3
9 Computer assisted programming of CNC machine tools 3
Course
Code MCH406
Course
Name Industrial Automation
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 8th
English 3 2 0 4 6
COURSE INFORMATION
10 Introduction to PLC systems 3
11 Ladder diagrams 3
12 PLC programming and control 3
13 PLC programming and control 3
14 Advanced PLC programming and process control 3
15 SCADA systems 3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks : Industrial Automation and Process Control. Jon Stenerson. Prentice Hall. 2002
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework -- 0
Presentation -- 0
Laboratory/Practice 4 20
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects 2 40
Midterm exam(s) 1 10
Others -
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 12 2 24
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
midterm exams 4 3 12
Individual study for
project 8 5 40
COURSE INFORMATION
Individual study for final
exam 7 4 28
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 5 3 3 4 4 4 3 4 3 3 2
LO2 3 5 4 2 4 2 3 2 3 2 3 3
LO3 4 3 2 3 5 2 4 2 2 2 3 2
LO4 3 2 2 4 3 3 3 2 2 2 3 5
LO5 3 3 4 4 4 4 3 4 4 3 3 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH407 Course
Name
DESIGN PROBLEMS IN ENGINEERING
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Elective Bachelor 7th
English 3 0 2 4 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: MCH201, MAT221, Consent of Instructor
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to introduce students the concepts of design
and analysis of elastic systems used in mechatronics systems and devices
including sensors, actuators, micro devices and micro machines.
Determination of stresses and deflections in statically indeterminate structures
encountered in mechatronic components design.
Course contents : General theory of elasticity; equilibrium, stress-strain and strain-displacement
equations. Plane stress and plane strain design examples. Elasticity
relationships in cylindrical and polar coordinates. Circular disks and thick-
walled pressure vessels. General theory of slender bars; axial loading, bending
and shear loading. General theory of plates; series solutions for bending.
Torsion of bars and beams; Saint-Venant's theory, Prandtl stress function.
Energy methods; virtual work, strain energy and Principle of Minimum
Potential Energy. General theory of finite element methods. Castigliano's
theorems. Finite element modeling and static solutions for stresses and
deflections.
Recommended optional
program components
: --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
COURSE INFORMATION
1 Identify, formulate and solve engineering
problems and simulate mechatronic
components
Lectures Homeworks and Exams
2 Understand of professional and ethical
responsibility.
Lectures Homeworks and Exams
3 Understand the impact of engineering
solutions in a global and societal context.
Lectures Homeworks and Exams
4 Recognition of the need for and an ability to
engage in life-long learning.
Lectures Homeworks and Exams
5 Get used to contemporary issues and
techniques.
Lectures Homeworks and Exams
6 Use the techniques, skills and modern
engineering tools necessary for engineering
practice
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 General theory of elasticity; equilibrium, stress-strain and
strain-displacement equations.
3
2 Plane stress and plane strain design examples. 3
3 Elasticity relationships in cylindrical and polar coordinates. 3
4 Circular disks and thick-walled pressure vessels. 3
5 General theory of slender bars; axial loading, bending and
shear loading.
3
6 General theory of plates; series solutions for bending. 3
7 Torsion of bars and beams; Saint-Venant's theory, Prandtl
stress function.
3
8 Midterm Exam 3
9 Energy methods; virtual work, strain energy and Principle of
Minimum Potential Energy.
3
10 General theory of finite element methods. Castigliano's
theorems.
3
11 Finite element modeling and static solutions for stresses and
deflections.
3
12 General theory of elasticity; equilibrium, stress-strain and
strain-displacement equations.
3
13 Plane stress and plane strain design examples. 3
COURSE INFORMATION
14 Micro Devices Components Design 3
15 MEMS Elements Design 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Lecture Notes. “Finite Element Modeling for Stress Analysis” R. Cook, and “Roark’s
Formulas for Stress and Strain,” by Warren C. Young
Readings :
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 40
Others -
Final exam 1 40
Total 100
COURSE INFORMATION
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course
4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 6.0
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 3 4 3 4 4 4 3 4 3 3 4
LO2 4 3 4 3 4 5 3 4 3 3 3 4
LO3 3 4 3 5 5 5 4 3 4 4 3 4
LO4 3 3 3 4 5 3 3 4 4 4 3 3
LO5 3 3 5 4 3 4 3 4 4 3 4 3
LO6 3 3 3 4 4 3 3 4 4 3 3 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH408 Course
Name
ADVANCED STRUCTURAL DYNAMICS AND DESIGN OF
MECHATRONICS COMPONENTS
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Elective Bachelor 8th
English 3 0 2 4 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: MCH201, MCH407, MCH405 or Consent of Instructor
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to introduce the students concepts of design
of micro and macro mechatronics systems and devices including sensors,
actuators, micro mechatronic components, micro machines and micro
mechanisms. Convert practical problems/systems into suitable mathematical
models. Use analytical and computational methods to analyze the dynamic
response of a mechatronic structure subjected to a variety of different types of
excitation.
Course contents : Dynamics and Vibration of Mechanical and Mechatronic components subject
to dynamic loads; Analytical, numerical and finite element methods applied to
the analysis and design of mechanical systems consisting of cables, bars,
shafts, beams, frames, rings, membranes, plates and shells and Mechatronics
Systems and Devices.
Recommended optional
program components
: --
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
COURSE INFORMATION
Students will be able to:
1 Apply mathematics, science and engineering
principles.
Lectures Homeworks and Exams
2 Design a system, component, or process to
meet desired needs.
Lectures Homeworks and Exams
3 Identify, formulate and solve engineering
problems.
Lectures Homeworks and Exams
4 Communicate effectively. Lectures Homeworks and Exams
5 Understand the impact of engineering
solutions in a global and societal context.
Lectures Homeworks and Exams
6 Use the techniques, skills and modern
engineering tools necessary for engineering
practice
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Modeling of Mechanical and Mechatronic components
subject to dynamic loads;
3
2 Analytical, numerical and finite element methods applied to
cables,
3
3 The analysis and design of mechanical parts of mechatronics
systems: bars,
3
4 The analysis and design of mechanical parts of mechatronics
systems: shafts,
3
5 The analysis and design of mechanical parts of mechatronics
systems: beams,
3
6 The analysis and design of mechanical parts of mechatronics
systems: frames,
3
7 Analytical, numerical and finite element methods applied to
the analysis and design of mechanical parts of mechatronics
systems: rings,
3
8 Midterm Exam 3
9 Analytical, numerical and finite element methods applied to
the analysis and design of mechanical parts of mechatronics
systems: membranes,
3
10 Analytical, numerical and finite element methods applied to
the analysis and design of mechanical systems: plates
3
COURSE INFORMATION
11 Analytical, numerical and finite element methods applied to
the analysis and design of mechanical systems: shells
3
12 Micro Devices Components Design 3
13 MEMS Elements Design 3
14 Design of Components of Sensor and Actuators 3
15 MEMS Components Design 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Lecture Notes.
Readings :
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 40
COURSE INFORMATION
Others -
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 15 3 42
Individual study for
course
4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 3 3 4 3 4 4 4 3 4 3 3 4
LO2 4 3 4 3 4 5 3 4 3 3 3 4
LO3 3 4 3 5 5 5 4 3 4 4 3 4
LO4 3 3 3 4 5 3 3 4 4 4 3 3
LO5 3 3 5 4 3 4 3 4 4 3 4 3
LO6 3 3 3 4 4 3 3 4 4 3 3 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Course
Code
MCH409 Course
Name
PRACTICAL FINITE ELEMENTS
Type of
Course
Level of
Course
Semester Language Theory Application
(Practice)
Laboratory Local
Credits
ECTS
Elective Bachelor 7th
English 3 0 2 4 6
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: MCH201, MEC202, MAT221 or Consent of Instructor
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Main objective of this course is to give the students how to use (university-
release of) a commercial finite element code, in this case ANSYS, including
use of the preprocessor, solution and postprocessor modules to generate FE
models. Become proficient in constructing simple, “back-of-the-envelope”
solutions by hand for the purpose of checking and correcting FE models.
Know how to select an appropriate FE element type for the physical model
desired. Know how to apply loads and boundary conditions. Be able to
determine by inspection of post-processed results which features are physical
and which may be artifacts of the choices made in generating the FE model. Be
able to give students practice in the use of finite elements in design and
analysis of micromechatronic systems.
Course contents : Modeling choices. Bar and Beam Elements and Illustrations (Structural
Applications). Planar Elements and Illustrations (Structural Applications).
3D/Axisymmetric Elements and Illustrations (Structural Applications).
Plate/Shell Elements and Illustrations (Structural Applications). Compatibility
of various structural elements, both within a class (e.g., planar elements) and
between classes (e.g., bars and 3D elements). Steady-state and transient
thermal analysis (Thermal Applications). Structural response to thermal loads.
Modal, harmonic and transient simulations (Structural Applications). Linear
and non-linear buckling. Gaps/Contact Nonlinear Stress Analysis. Inelastic
Behavior
Recommended optional
program components
: --
Compulsory Attendance : 70%
COURSE INFORMATION
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Apply mathematics, science and engineering
principles to design of mechatronic systems
Lectures Homeworks and Exams
2 Design a system, component, or process in
mechatronic engineering to meet desired
needs.
Lectures Homeworks and Exams
3 Identify, formulate and solve mechatronic
engineering problems.
Lectures Homeworks and Exams
4 Communicate and analyze engineering
systems effectively.
Lectures Homeworks and Exams
5 Use the techniques, skills and modern
engineering tools necessary for engineering
practice.
Lectures Homeworks and Exams
6 Design basic mechatronic systems and
structures under mechanic, fludic, thermal,
electrical …etc loads.
Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Modeling choices. 3
2 Bar and Beam Elements and Illustrations (Structural
Applications).
3
3 Planar Elements and Illustrations (Structural Applications). 3
4 3D/Axisymmetric Elements and Illustrations (Structural
Applications).
3
5 Plate/Shell Elements and Illustrations (Structural
Applications).
3
6 Compatibility of various structural elements, both within a
class (e.g., planar elements) and between classes (e.g., bars
and 3D elements).
3
7 Steady-state and transient thermal analysis (Thermal
Applications).
3
COURSE INFORMATION
8 Midterm Exam 3
9 Structural response to thermal loads. Modal, harmonic and
transient simulations (Structural Applications).
3
10 Linear and non-linear buckling. 3
11 Gaps/Contact 3
12 Nonlinear Stress Analysis 3
13 Inelastic Behavior 3
14 MEMS Applications-Thermal 3
15 MEMS Applications-Structural 3
16 Final 3
17 Final
Sources
Course
notes/textbooks
: Lecture Notes,
“Finite Element Modeling for Stress Analysis” R. Cook, and Lecture Notes.
And “Roark’s Formulas for Stress and Strain,” by Warren C. Young.
Readings :
Supplemental
readings
:
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 20
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
COURSE INFORMATION
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 40
Others -
Final exam 1 40
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course
4 3 12
Midterm exam(s) 2 3 6
Final exam 1 4 4
Individual study for
homework
5 10 50
Individual study for
midterm exams
1 12 12
Individual study for final
exam
1 24 24
Total 150
ECTS Credit(Total/25.5) 6.0
COURSE INFORMATION
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 3 4 3 3 4
LO2 4 3 5 3 4 5 3 4 3 3 3 4
LO3 4 4 3 5 5 5 4 3 4 3 3 4
LO4 3 3 3 4 5 3 3 4 4 2 3 3
LO5 3 3 5 4 4 4 3 4 4 3 3 3
LO6 3 2 3 4 5 3 3 4 4 3 3 2
Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) : Assistant Prof. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
At the end of this course the students will acquire a working knowledge on advanced
applications of CAD through SolidWorks software including surface modeling, top-
down assembly design, sheet metal, mold design, etc.
Students will also acquire working knowledge on traditional manufacturing methods
such as casting, forming, shaping, joining, machine tools, machining of metals and
their alloys, and use of CAM software SolidCAM.
Course contents
Advanced modeling techniques in SolidWorks, surfacing tools, molding tools, 3D
sketching and weldments, sheet metal, top-down assembly design, parametric
modeling fundamentals, geometric relations fundamentals, motion study (kinematic
analysis) of mechanisms, FEA by SimulationXpress, PhotoView 360.
Types of engineering materials, Mechanical Properties of Metals, Engineering alloys,
Polymers, Ceramics, Composites, Metal casting, forming and shaping (rolling,
forging, extrusion, sheet metal, powder metallurgy, ceramics, plastics, composites),
rapid prototyping, fundamentals of machining processes and machine tools, micro-
manufacturing and fabrication of microelectronic devices (MEMS), joining
processes, surface technology, automation of manufacturing processes and
operations.
Intro to SolidCAM and computer integrated manufacturing systems.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. A good understanding of the
atomic structure and how it
constitutes various engineering
materials and the physical
microstructure/property
relationship
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
2. A good understanding of the
meaning and importance of
mechanical properties of metals
in different working
environments and how to
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Course
Code MCH 410
Course
Name Advanced CAD/CAM
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 7 English 4 0 2 5 6
COURSE INFORMATION
2
assess them by standard test
methods
3. Working knowledge in design
of metallic alloys through use
of phase diagrams
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
4. Working knowledge on
properties and use of polymers,
ceramics, composites,
electronic materials, magnetic
materials and photonic
materials in engineering
applications
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
5. Working knowledge on metal
casting, forming and shaping
processes
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
6. Working knowledge on
machining processes and machine
tools
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
7. Working knowledge on MEMS
and their fabrication methods
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
8. Working knowledge on joining
processes and related equipment
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
9. A good understanding of surface
technology, its importance in
product design and its relationship
with various manufacturing
techniques
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
10. An introduction to computer
integrated manufacturing and
related CAM software
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Intro and type of engineering materials, Atomic structure and
bonding, Crystal and amorphous materials
Textbook/Lecture
Notes/Supplemental
website of textbook
4
2 Solidification and crystalline imperfections
Textbook/Lecture
Notes/Supplemental
website of textbook
4
3
Mechanical Properties of Metals (process, stress/strain
diagram and tensile test, hardness, plastic deformation,
Strengthening mechanisms, Recovery and Recrystallization,
Fracture, Fatigue, Creep)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
COURSE INFORMATION
3
3’ Lab test: Tension-Compression 2
4
Mechanical Properties of Metals (process, stress/strain
diagram and tensile test, hardness, plastic deformation,
Strengthening mechanisms, Recovery and Recrystallization,
Fracture, Fatigue, Creep)
Textbook/Lecture
Textbook/Lecture
Notes/Supplemental
website of textbook
4
4’ Lab test: Torsion 2
5
Phase diagrams, Engineering alloys (types of Iron and steel,
iron/carbon system, heat treatment, aluminum, copper,
magnesium, titanium, nickel)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
5’ Lab test: Hardness 2
6
Phase diagrams, Engineering alloys (types of Iron and steel,
iron/carbon system, heat treatment, aluminum, copper,
magnesium, titanium, nickel)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
7 Midterm exam 3
8 Polymers, Ceramics, Composites, Electronic materials,
Magnetic materials, Photonic materials.
Textbook/Lecture
Notes/Supplemental
website of textbook
4
9
Intro, metal casting, forming and shaping (rolling, forging,
extrusion, sheet metal, powder metallurgy, ceramics,
plastics, composites)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
10
Intro, metal casting, forming and shaping (rolling, forging,
extrusion, sheet metal, powder metallurgy, ceramics,
plastics, composites)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
11 Rapid prototyping, fundamentals of machining processes and
machine tools
Textbook/Lecture
Notes/Supplemental
website of textbook
4
12 Fundamentals of machining processes and machine tools
Textbook/Lecture
Notes/Supplemental
website of textbook
4
12’ Lab application: Turning, milling 2
13 Micro-manufacturing and fabrication of microelectronic
devices (MEMS)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14 Joining processes, Surface technology
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14’ Lab application: Arc welding, TIG/MIG welding, brazing 2
15 Automation of manufacturing processes and operations,
CAM and computer integrated manufacturing systems.
Textbook/Lecture
Notes/Supplemental
website of textbook
4
15’ Lab application: CNC programing and rapid prototyping 2
16 Final exam 3
17 Final exam
COURSE INFORMATION
4
Sources
Course
notes/textbooks
: “Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,
Pearson/Prentice Hall; 6th SI ed, 2010, ISBN 978-981-06-8144-9
Readings : Chapters as assigned from the textbook
Supplemental
readings : “The Science & Engineering of Materials”, by D.R. Askeland, P.P. Fulay & W.J. Wright,
Cengage; 6th ed, 2011, ISBN 978-0-495-29602-7
References
: “Engineering Materials I”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096665-6
Engineering Materials II”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096668-7
“Materials Selection in Mechanical Design”, by M.F. Ashby, Butterworth-Heinemann Elsevier;
4th ed, 2011, ISBN 978-1-85617-663-7
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42
Quizzes
Homework
Laboratory/Practice 6 5%
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects 4 25%
Midterm exam(s) 1 30%
Others
Final exam 1 40%
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
COURSE INFORMATION
5
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course lecture hours 14 4 56
Course lab hours 6 2 12
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 10 3 30
Individual study for
presentation 0 0 0
Individual study for
project 0 0 0
Individual study for
midterm exams 1 20 20
Individual study for final
exam 1 29 29
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
Department : Mechatronic Engineering
Prerequisites/Requirements
for Admission : MCH301, EEE302
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : The aim of this course is to introduce the basic concepts of flying robots including
both the hardware concepts; sensors, actuators and software concepts; controllers.
Course contents
: Introduction to flying robots. Mechatronic components of flying robots.
Mathematical modeling of flying robots. Design of control systems for flying
robots.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand basic principles of autonomous
flying robots
Lectures Homeworks and Exams
2 Understand building blocks of flying robots Lectures Homeworks and Exams
3 Build mathematical models of flying robots Lectures Homeworks and Exams
4 Design controllers for flying robots Lectures Homeworks and Exams
5 Work individually or in groups Lectures Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to flying robots 3
2 Mechatronic components in flying robots: Sensor systems 3
3 INS, estimation 3
4 Actuators 3
5 Control hardware and software 3
6 Mathematical modeling of flying robots 3
7 6-DOF rigid body dynamics 3
8 Midterm exam 3
9 Dynamics of actuators 3
10 Robot structures 3
11 Identification of dynamics, estimation of intertial parameters 3
12 Altitude control 3
13 Attitude control 3
Course
Code MCH411
Course
Name Flying Robotics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 8th
English 3 0 0 3 6
COURSE INFORMATION
14 Trajectory control 3
15 Disturbance rejection 3
16 Final exam 3
17 Final exam
Sources
Course
notes/textbooks
: Modelling and Control of Mini Flying Machines, P. Castillo, R. Lozano and A.E. Dzul,
Springer-Verlag London Limited, 2005.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 10 5 50
Individual study for
midterm exams 4 3 12
Individual study for final
exam 6 4 24
Total 151
ECTS Credit(Total/25.5) 6
COURSE INFORMATION
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 3 4 4 4 3 4 3 3 2
LO2 4 3 4 4 4 5 3 2 3 3 3 3
LO3 3 3 2 3 5 2 4 2 4 3 3 4
LO4 3 2 3 4 5 3 3 2 2 3 3 2
LO5 3 3 5 4 4 4 3 4 4 3 3 2
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : None
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) : Assistant Prof. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
At the end of this course the students will acquire a working knowledge on smart
materials for mechatronics applications and their applied driving forces such as
electrical, thermal, and magnetic fields. Mathematical modeling and hands-on case
studies will help them deeply understand the applications of smart materials in
industry and green energy field.
Course contents
Classification of smart materials for mechatronics applications and the applied driving
forces such as electrical, thermal, and magnetic fields.
Types and working principles of smart materials: Piezoelectric, Piezoresistive,
Piezorestrictive, Magnetostrictive, Magnetoresistive, Shape Memory Alloys,
Magnetically Activated Shape Memory Alloys, Active Fiber Composites, Electro and
Magneto-Rheological Fluids, Smart Gels and Shape Memory Polymers, self-healing
materials. Manufacturing processes specially adapted to each material, advantages
and drawbacks of each technology, applications to robotics and micro-
technology (MEMS), energy harvesting strategies for green energy
applications using smart materials, case studies.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
1. A good understanding of the
classification of smart materials
for mechatronics applications and
the applied driving forces
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
2. Working knowledge on
Piezoelectric, Piezoresistive,
Piezorestrictive materials
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
3. Working knowledge on Shape
Memory Alloys, Magnetically
Activated Shape Memory Alloys
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
4. Working knowledge on Electro
and Magneto-Rheological Fluids
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Course
Code MCH 412
Course
Name Smart Materials in Mechatronics Engineering
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 8 English 4 0 2 5 6
COURSE INFORMATION
2
5. Working knowledge on Smart
Gels and Shape Memory
Polymers
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
6. Working knowledge on m
anufacturing processes specially
adapted to each material
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
7. Working knowledge on
applications to robotics, micro-
technology (MEMS) and green
energy (energy harvesting)
Face to face lecturing, reading
assignments, group research
assignments, in-class group
discussions
Quizzes, homeworks, one or more
group projects and their in-class
presentation
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Intro, classification of smart materials, materials science
behind
Textbook/Lecture
Notes/Supplemental
website of textbook
4
2 Nature of driving forces for each class of smart materials
Textbook/Lecture
Notes/Supplemental
website of textbook
4
3 Piezoelectric, piezoresistive, piezorestrictive materials and
their synthesis and behavior modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
3’ Lab application: Piezoelectric, Piezoresistive, Piezorestrictive
materials
2
4 Shape memory alloys, their metallurgy and behavior
modeling
Textbook/Lecture
Textbook/Lecture
Notes/Supplemental
website of textbook
4
4’ Lab application: Magnetostrictive, Magnetoresistive, Shape
Memory Alloys, Magnetically Activated Shape Memory Alloys
2
5 Magnetic shape memory alloys, their metallurgy and
behavior modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
5’ Lab application: Smart Gels and Shape Memory Polymers 2
6 Other magnetostrictive materials, their synthesis and
behavior modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
7 Midterm exam 3
8 Electro and Magneto-Rheological Fluids, their synthesis and
behavior modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
9 Smart Gels and Shape Memory Polymers, their synthesis and
behavior modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
10 Active Fiber Composites, their synthesis and behavior
modeling
Textbook/Lecture
Notes/Supplemental
website of textbook
4
11 Self-healing materials, their synthesis and behavior modeling Textbook/Lecture 4
COURSE INFORMATION
3
Notes/Supplemental
website of textbook
12 Industrial applications
Textbook/Lecture
Notes/Supplemental
website of textbook
4
12’ Lab application: Electro and Magneto-Rheological Fluids 2
13 Industrial applications
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14 Applications to robotics and micro-technology (MEMS)
Textbook/Lecture
Notes/Supplemental
website of textbook
4
14’ Lab application: Active Fiber Composites 2
15 Energy harvesting via smart materials, applications of green
energy
Textbook/Lecture
Notes/Supplemental
website of textbook
4
15’ Lab application: MEMS 2
16 Final exam 3
17 Final exam
Sources
Course
notes/textbooks
: Instructor’s notes
“Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,
Pearson/Prentice Hall; 6th SI ed, 2010, ISBN 978-981-06-8144-9
Readings : Chapters as assigned from the textbook
Supplemental
readings : “The Science & Engineering of Materials”, by D.R. Askeland, P.P. Fulay & W.J. Wright,
Cengage; 6th ed, 2011, ISBN 978-0-495-29602-7
References
: “Engineering Materials I”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096665-6
Engineering Materials II”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;
4th ed, 2012, ISBN 978-0-08-096668-7
“Materials Selection in Mechanical Design”, by M.F. Ashby, Butterworth-Heinemann Elsevier;
4th ed, 2011, ISBN 978-1-85617-663-7
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42
Quizzes
Homework
Laboratory/Practice 6 5%
Report(s)
Graduate Thesis/Project
Seminar
Presentation
Projects 4 25%
Midterm exam(s) 1 30%
COURSE INFORMATION
4
Others
Final exam 1 40%
Total 100
Percentage of semester work 60
Percentage of final exam 40
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course lecture hours 14 4 56
Course lab hours 6 2 12
Midterm exam(s) 1 3 3
Final exam 1 3 3
Individual study for
homework 5 2 10
Individual study for
presentation 0 0 0
Individual study for
project 4 10 40
Individual study for
midterm exams 1 13 13
Individual study for final
exam 1 16 16
Total 153
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MEC202, EEE302, MEC304
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim
: This course aims to introduce basic concepts of robotic manipulators. Kinematic,
dynamics, motion planning and control methods of robotic manipulators are the
subjects of this course.
Course contents
: Introduction to Robotics. Review of spatial kinematics. Kinematics and
modeling using Denavit-Hartberg approach. Position, velocity and acceleration
analysis in the forward and inverse senses. Virtual work method. Newton-
Euler and Lagrange methods. Independent joint controllers. Coordinated joint
controllers. Free and complaint motion control. Combined motion and force
control.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Understand fundamentals of robotics Lectures and Lab work Exam and Lab Work
2 Calculate kinematics of robotic manipulators Lectures and Lab work Exam and Lab Work
3 Perform combined force and motion control Lectures and Lab work Exam and Lab Work
4 Use Newton-Euler and Lagrange’s equations
for direct and inverse dynamics of robotic
manipulators.
Lectures and Lab work Exam and Lab Work
5 Perform task space planning of robotic
manipulators.
Lectures and Lab work Exam and Lab Work
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to robotics 3
2 Review of spatial kinematics 3
3 Kinematics modeling using Denavit-Hartberg approach 3
4 Position and velocity analysis in the forward and inverse
senses
3
5 Acceleration analysis in the forward and inverse sense 3
6 Quasi-static analysis using the virtual work method 3
Course
Code MCH414
Course
Name Robotics
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 8th
English 3 0 0 3 6
COURSE INFORMATION
7 Direct and inverse dynamics using the Newton-Euler and
Largrange’s Equations
3
8 Mid-term Examination 3
9 Task space planning. 3
10 Joint space planning via positons, splines and time steps. 3
11 Independent joint controllers 3
12 Coordinated joint controllers using the computed torque
method
3
13 Free and compliant motion control 3
14 Combined motion and force control 3
15 Combined motion and force control 3
16 Final Examination 3
17 Final Examination
Sources
Course
notes/textbooks
: Introduction to Robotics. A. J. Critchlow. Mac Milan.
Introduction to Robotics: Mechanisms and Control. J. J. Craig. Addison-Wesley.
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- --
Report(s) -- --
Graduate Thesis/Project -- --
Seminar -- --
Projects -- --
Midterm exam(s) 1 30
Others -- --
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 10 3 30
Midterm exam(s) 1 3 3
COURSE INFORMATION
Final exam 1 4 4
Individual study for
homework 12 4 48
Individual study for
midterm exams 4 2 8
Individual study for final
exam 5 4 20
Total 155
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 2 3 4 4 5 3 3 4 3 2 3 2
LO2 2 2 3 4 3 4 3 2 2 4 3 3
LO3 4 3 4 1 3 5 3 4 3 4 3 3
LO4 4 4 4 3 4 3 4 5 4 3 3 3
LO5 5 4 2 3 4 4 3 4 4 3 4 3
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission : MCH411, EEE302
Mode of delivery : Lectures, Homeworks and Exams
Course coordinator : N/A
Course lecturer(s) : N/A
Course assistant(s) : N/A
Course description/aim : Students are expected to develop the theory of optimal control using the calculus of
variations.
Course contents
: Unconstrained optimization: single variable; multivariable. Multivariable
optimization: search methods; gradient methods. Constrained optimization:
sequential unconstrained method; sequential quadratic programming. Dynamic
Programming: calculus of variations; Pontryagin’s Maximum Principle.
Optimal control: linear quadratic problems.
Recommended optional
program components :
Compulsory Attendance : 70%
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to:
1 Get familiar with unconstrained and
constrained finite dimensional optimization;
Lectures and Labs Homeworks and Exams
2 Understand the calculus of variations with
particular emphasis on the Bolza problem,
and to write down Euler’s equations;
Lectures and Labs Homeworks and Exams
3 Understand the maximum principle and to
apply it to general optimization problems
Lectures and Labs Homeworks and Exams
4 Solve the LQR problems; Lectures and Labs Homeworks and Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction to classical and modern control Lectures and Labs 3
2 Calculus of Variations and optimal control Lectures and Labs 3
3 Linear Quadratic Optimal Control Systems I Lectures and Labs 3
4 Linear Quadratic Optimal Control Systems II Lectures and Labs 3
5 Variational Calculus for Discrete-Time Systems Lectures and Labs 3
6 Discrete-Time Optimal Control Systems Lectures and Labs 3
7 Discrete-Time Linear State Regulator System Lectures and Labs 3
8 Midterm Exam 3
9 Steady-State Regulator System Lectures and Labs 3
Course
Code MCH416
Course
Name OPTIMAL CONTROL
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Undergraduate 8th
English 3 0 0 3 6
COURSE INFORMATION
10 Discrete-Time Linear Quadratic Tracking System Lectures and Labs 3
11 Frequency-Domain Interpretation Lectures and Labs 3
12 Pontryagin Minimum Principle Lectures and Labs 3
13 Dynamic Programming Lectures and Labs 3
14 Constrained Optimal Control Systems Lectures and Labs 3
15 Constrained Optimal Control Systems Lectures and Labs 3
16 Final Exam 3
17 Final Exam
Sources
Course
notes/textbooks
: Optimal Control Systems, Desineni Subbaram Naidu, CRC Press 2002; Robust
Optimal Control, Kemin Zhou, John C. Doyle, Keith Glover, Prentice Hall, 1995;
Lecture Notes
Readings :
Supplemental
readings :
References :
Evaluation System
Work Placement Number Percentage of Grade
Attendance -- 0
Quizzes -- 0
Homework 5 10
Presentation -- 0
Laboratory/Practice -- 0
Report(s) -- 0
Graduate Thesis/Project -- 0
Seminar -- 0
Projects -- 0
Midterm exam(s) 1 30
Others -
Final exam 1 60
Total 100
Percentage of semester work 40
Percentage of final exam 60
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 4 4 16
Midterm exam(s) 1 3 3
Final exam 1 4 4
Individual study for
homework 10 5 50
Individual study for 4 3 12
COURSE INFORMATION
midterm exams
Individual study for final
exam 6 4 24
Total 151
ECTS Credit(Total/25.5) 5
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 3 3 4 4 3 3 3 4 3 3 2
LO2 4 4 4 3 3 3 3 4 5 4 3 3
LO3 5 4 4 4 4 3 4 5 4 4 3 4
LO4 3 3 3 3 4 3 2 4 3 3 5 5
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: Engineering Mechanics, Elements of Design for Mechatronics 1 & 2,
Mechatronic Components, Theory of Machines
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) :Yrd. Doç. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
: At the end of this course, the students will be competent in designing electro-
mechanical engineering systems either alone or as a part of a team, know how to
manufacture a working model of their design, know how to document and present
their work efficiently, integrate their technical knowledge and skills acquired in the
course of their education through ethical principles, understand the principles of
engineering project management.
Course contents
: The principles of engineering design process for problem definition, feasible
solution proposal and critical decision making. Selection methodology of engineering
materials. Modeling, simulation, analysis and realization of electro-mechanical
systems through use of computer aided design (CAD), computer aided engineering
(CAE) and computer aided manufacturing (CAM). Design optimization through
failure analysis for reliability. Cost evaluation for economics. Aspects of quality in
manufacturing. Engineering ethics. Human and ecological factors in design.
Engineering project planning and management skills. Case studies. Assignment of a
real group project, its realization of a thorough engineering analysis and detailed
documentation/presentation.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
Students will be able to:
1. A good understanding of the
principles of “engineering design
process” in mechatronics
applications
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
2. Working in-depth knowledge in
state-of-the-art industrial practices
of mechanical, materials and
manufacturing standards
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
3. Working in-depth knowledge in
state-of-the-art industrial practices
Face to face lecturing, reading
assignments, group research
Submission of weekly written
reports of progress and in-class
Course
Code MCH 495
Course
Name Senior Design Project I
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Undergrad. 7 English 3 0 0 3 6
COURSE INFORMATION
2
of electrics and electronics
standards
assignments, in-class group
presentations and associated
discussions
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
4. Problem definition and need
identification for innovative
engineering design of industrial
products
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
5. Critical thinking and decision
making for the best concept
selection for project realization
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
6. Competence in the use of state-of-
the-art CAD/CAM/CAE tools for
embodiment and detailed design
through intense modeling and
simulation efforts
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
7. Conforming to team work
environment
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
8. Acquiring of project management
skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
9. Acquiring of effective technical
communication and presentation
skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
10. Working knowledge in legal and
ethical issues in engineering
design
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
11. Working knowledge in quality
control, robust design and design
optimization, cost evaluation and
economic decision making
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task success in group,
final poster and final group
presentation, final report
COURSE INFORMATION
3
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 The Engineering Design Process Textbook/Lecture
Notes
3
1’ Students form teams and start their search for a suitable design
project and a sponsor
Textbook/Supplemental
books/Internet
2 The Product Development Process Textbook/Lecture
Notes
3
2’ Students inform and consult the instructor about their effort to
decide on a project and find a sponsor
--- ---
3 Problem Definition and Need Identification Textbook/Lecture
Notes
3
3’ Students submit a project proposal to the instructor and start with
their design process upon the approval of the instructor
--- ---
4 Team Behavior and Tools Textbook/Lecture
Notes
3
5 Gathering Information Textbook/Lecture
Notes
3
6 Concept Generation Textbook/Lecture
Notes
3
7 Decision Making and Concept Selection Textbook/Lecture
Notes
3
8 Embodiment Design Textbook/Lecture
Notes
3
9 Detail Design Textbook/Lecture
Notes
3
9’ Students submit an interim project report to the instructor and
inform him on their progress
--- ---
10 Modeling and Simulation Textbook/Lecture
Notes
3
11 Materials Selection Textbook/Lecture
Notes
3
12 Design with Materials and manufacturing Textbook/Lecture
Notes
3
13 Risk, Reliability, and Safety Textbook/Lecture
Notes
3
14 Quality, Robust Design, and Optimization, Cost Evaluation,
Economic Decision Making
Textbook/Lecture
Notes
3
15 Legal and Ethical Issues in Engineering Design Textbook/Lecture
Notes
3
15’ Students perform a mock project presentation to the peers and
prepare a poster to display their effort
Textbook/Lecture
Notes
3
16 Final Exam 3
17 Final Exam
COURSE INFORMATION
4
Sources
Course
notes/textbooks
: “Engineering Design”, by George Dieter & Linda Schmidt, McGraw-Hill
Science/Engineering/Math; 5th ed, 2012, ISBN 978-0073398143
Readings : Chapters as assigned from the textbook
Supplemental
readings
: “The Mechanical Design Process”, by David Ullman, McGraw-Hill
Science/Engineering/Math, 4th ed, 2009, ISBN 978-0072975741
“Engineering Design Process”, by Yousef Haik & Tamer Shahin, CL Engineering, 2nd
ed, 2010,
ISBN 978-0495668145
“Engineering Design Methods: Strategies for Product Design”, by Nigel Cross, Wiley, 4th ed,
2008, ISBN 978-0470519264
“Engineering Design: A Systematic Approach”, by Gerhard Pahl, Springer, 3rd ed, 2007, ISBN
978-1846283185
References
:”Engineering Drawing and Design”, by David Madsen, Delmar Cengage Learning; 5th ed,
2011, ISBN 978-1111321833
“Engineering Drawing & Design”, by Cecil Jensen, McGraw-Hill Science/Engineering/Math;
7th ed, 2007, ISBN 978-0073521510
“Machinery's Handbook 29th Ed.”, by Erik Oberg, Industrial Press; 29th Indexed edition, 2012,
ISBN 978-0831129019
“Mechanical Design of Machine Elements and Machines”, by Jack A. Collins, Wiley, 2nd ed,
2009, ISBN 978-0470413036
“Shigley's Mechanical Engineering Design”, by Richard Budynas, McGraw-Hill
Science/Engineering/Math, 9th ed, 2010, ISBN 978-0077942908
“Machine Elements in Mechanical Design”, by Robert Mott, Prentice Hall, 4th ed, 2003, ISBN
978-0130618856
“The Elements of Mechanical Design”, by James Skakoon, ASME Press (American Society of
Mechanical Engineers), 2008, ISBN 978-0791802670
“Materials Selection in Mechanical Design”, by Michael F. Ashby, Butterworth-Heinemann 4th
ed, 2010, ISBN 978-1856176637
“Mechanisms and Mechanical Devices Sourcebook”, by Neil Sclater, McGraw-Hill
Professional; 5th ed, 2011, ISBN 978-0071704427
“Illustrated Sourcebook of Mechanical Components”, by Robert Parmley, McGraw-Hill
Professional; 1st ed, 2000, ISBN 978-0070486171
“Design of Machinery”, by Robert Norton, McGraw-Hill Science/Engineering/Math, 5th ed,
2011, ISBN 978-0077421717
“Engineering Design: A Project Based Introduction”, by Clive Dym, Wiley; 3rd ed, 2008, ISBN
978-0470225967
COURSE INFORMATION
5
“Fundamentals of Machine Component Design”, by Robert Juvinall, Wiley; 5th ed, 2011, ISBN
978-1118012895
“Mechanical Design”, by Peter Childs, Butterworth-Heinemann; 2nd ed, 2004, ISBN 978-
0750657716
“Kinematic Chains and Machine Components Design”, by Dan B. Marghitu, Academic Press;
1st ed, 2005, ISBN 978-0124713529
“Introduction to Mechatronics and Measurement Systems”, by David Alciatore, McGraw-Hill
Science/Engineering/Math, 4th ed, 2011, ISBN 978-0073380230
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42 ---
Quizzes --- ---
Homework 16 reading assignments 5%
Laboratory/Practice --- ---
Report(s) 1 final report 15%
Graduate Thesis/Project --- ---
Seminar --- ---
Presentation 15 weekly presentations 10%
Projects 1 ---
Midterm exam(s) 1 interim project report 15%
Others 1 final poster 15%
Final exam 1final presentation 40%
Total 100
Percentage of semester work
Percentage of final exam
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Midterm exam(s) 0 0 0
Final exam 1 3 3
Individual study for
homework 11 2 22
Individual study for
presentation 5 5 25
Individual study for
project 10 4 40
Individual study for
midterm exams 0 0 0
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
COURSE INFORMATION
6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 4 4 4 4 4 4 4 4 4 4 4 4
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
1
Department : Mechatronics Engineering
Prerequisites/Requirements
for Admission
: Senior Design Project I, Engineering Mechanics, Elements of Design for
Mechatronics 1 & 2, Mechatronic Components, Theory of Machines
Mode of delivery : Face to face lectures
Course coordinator :
Course lecturer(s) :Yrd. Doç. Dr. Burak Başaran
Course assistant(s) :
Course description/aim
: At the end of this course, the students will become competent in manufacturing of
electro-mechanical engineering systems, either alone or as a part of a team, know how
to document and present their work efficiently, integrate their technical knowledge
and skills acquired in the course of their education through ethical principles,
understand the principles of engineering project management and actually
manufacture a working model of their design finalized in MCH 495. The course aims
to provide the students with a real-life hands-on manufacturing experience where they
can utilize various manufacturing processes/techniques/tools and apply international
mechanical & electrical codes/standards.
Course contents
: Realization of the working model of the design from MCH 495. Manufacturing
processes selection, planning and project management skills. Reapplication of the
principles of engineering design process to problems faced during manufacturing
stage. Design optimization for manufacturability. Reselection of engineering
materials if necessary. Selection of standard mechanical and electrical
parts/components. Focusing on computer aided design (CAD) /drafting, and
computer aided manufacturing (CAM) methods. Reevaluation of cost for better
economics. Inspection of quality, dimensional and geometric tolerances.
Performance assessment of the realized prototype.
Recommended optional
program components : None
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching Methods/Techniques Assessment method(s)
Students will be able to:
1. A good understanding of how the
principles of “engineering design
process” is extended to real life
manufacturing of electro-
mechanical systems
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
2. Working in-depth knowledge in
state-of-the-art industrial practices
of mechanical, materials and
manufacturing codes/standards
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
Course
Code MCH 496
Course
Name Senior Design Project II
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Compulsory Undergrad. 8 English 3 0 0 3 6
COURSE INFORMATION
2
3. Working in-depth knowledge in
state-of-the-art industrial practices
of electrics and electronics
codes/standards
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
4. The ability to select the standard
mechanical and electrical
components required for the
design
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
5. Critical thinking and decision
making for the best materials to
use in their design and the most
cost efficient manufacturing
processes suitable to shape/join
these materials
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
6. Competence in the use of state-of-
the-art CAD/CAM software,
machining tools and other
manufacturing processes and
techniques
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
S Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
7. Conforming to team work
environment and effort
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
8. Acquiring of manufacturing
project management skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
9. Acquiring of effective technical
communication and presentation
skills
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
10. Transfer of the knowledge in
legal and ethical issues from
design stage to manufacturing
stage
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
presentation, final report
11. Working knowledge in quality
control, dimensional and
geometric tolerances
Face to face lecturing, reading
assignments, group research
assignments, in-class group
presentations and associated
discussions
Submission of weekly written
reports of progress and in-class
presentations, peer evaluation of
effort and task achievement in
group, final poster and final group
COURSE INFORMATION
3
presentation, final report
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Design for manufacture and assembly Textbook/Lecture
Notes
3
1’ Students recall teams from MCH 495 and start their decision
process for suitable manufacturing processes and a sponsor
Textbook/Supplemental
books/Internet
2 Rapid prototyping, tooling and manufacturing Textbook/Lecture
Notes
3
2’ Students inform and consult the instructor about their effort to
decide on manufacturing processes and a sponsor
--- ---
3 Dimensioning and tolerancing Textbook/Lecture
Notes
3
3’
Students critically review their 2D manufacturing drawings
documented in MCH 495 for manufacturing purposes, submit a
project proposal to the instructor and start with their
manufacturing process
--- ---
4 Basic tools for tolerance analysis of mechanical assemblies Textbook/Lecture
Notes
3
5 CAD/CAM/CAE Textbook/Lecture
Notes
3
6 Manufacturing simulation Textbook/Lecture
Notes
3
7 Heat treating, hot working and metal forming Textbook/Lecture
Notes
3
8 Metal casting processes Textbook/Lecture
Notes
3
9 Powder metallurgy Textbook/Lecture
Notes
3
9’ Students submit an interim project report to the instructor and
inform him on their progress in manufacturing
--- ---
10 Welding, fabrication and arc cutting Textbook/Lecture
Notes
3
11 Rolling process and pressworking Textbook/Lecture
Notes
3
12 Brazing Textbook/Lecture
Notes
3
13 Metal cutting and turning theory Textbook/Lecture
Notes
3
14 Hole making, tapping, broaching, grinding, metal sawing Textbook/Lecture
Notes
3
14’
Students are expected to evaluate the performance of their
working model with respect to the functions and requirements
listed in their project proposal for MCH 495
Textbook/Lecture
Notes
3
15 Fundamentals and trends in robotic automation, machine vision --- ---
15’ Students perform a mock project presentation to the peers (and
prepare a poster) to display their effort
Textbook/Lecture
Notes
3
16 Final Exam 3
17 Final Exam
COURSE INFORMATION
4
Sources
Course
notes/textbooks
: “Manufacturing Engineering Handbook”, by Hwaiyu Geng, McGraw-Hill Professional 1st ed,
2004, ISBN 978-0071398251
Readings : Chapters as assigned from the textbook
Supplemental
readings
: “Fundamentals of Modern Manufacturing: Materials, Processes, and Systems”, by Mikell P.
Groover, Wiley, 4th ed, 2010, ISBN 978-0470467008
“Manufacturing Engineering & Technology”, by Serope Kalpakjian, Prentice Hall; 6th ed, 2009,
ISBN-13: 978-0136081685
References
:”Engineering Drawing and Design”, by David Madsen, Delmar Cengage Learning; 5th ed,
2011, ISBN 978-1111321833
“Engineering Drawing & Design”, by Cecil Jensen, McGraw-Hill Science/Engineering/Math;
7th ed, 2007, ISBN 978-0073521510
“Machinery's Handbook 29th Ed.”, by Erik Oberg, Industrial Press; 29th Indexed edition, 2012,
ISBN 978-0831129019
“Materials Selection in Mechanical Design”, by Michael F. Ashby, Butterworth-Heinemann 4th
ed, 2010, ISBN 978-1856176637
“Manufacturing Processes for Design Professionals”, by Rob Thompson, Thames & Hudson,
2007, ISBN 978-0500513750
Evaluation System
Work Placement Number Percentage of Grade
Attendance 42 ---
Quizzes --- ---
Homework 16 reading assignments 5%
Laboratory/Practice --- ---
Report(s) 1 final report 15%
Graduate Thesis/Project --- ---
Seminar --- ---
Presentation 15 weekly presentations 10%
Projects 1 ---
Midterm exam(s) 1 interim project report 15%
Others 1 final poster 15%
Final exam 1final presentation 40%
Total 100
Percentage of semester work
Percentage of final exam
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 42 1 42
Midterm exam(s) 0 0 0
COURSE INFORMATION
5
Final exam 1 3 3
Individual study for
homework 11 2 22
Individual study for
presentation 5 5 25
Individual study for
project 10 4 40
Individual study for
midterm exams 0 0 0
Individual study for final
exam 4 5 20
Total 152
ECTS Credit(Total/25.5) 6
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 5 5 5 5 5 5 3 5 5 5 5 5
LO2 5 5 5 5 5 5 3 5 5 5 5 5
LO3 5 5 5 5 5 5 5 5 5 5 5 5
LO4 5 5 5 5 5 5 5 5 5 5 5 5
LO5 5 5 5 5 5 5 3 5 5 5 5 5
LO6 5 2 2 5 5 5 5 5 3 4 4 3
LO7 3 3 5 3 3 3 5 3 5 3 3 3
LO8 5 5 5 5 5 5 5 5 5 5 5 5
LO9 3 5 3 3 3 3 3 3 5 3 3 3
LO10 2 2 5 5 5 2 2 4 5 5 5 5
LO11 5 2 2 5 5 5 5 5 3 4 5 3
Contribution Level 1,2,3,4,5 Lowest to Highest
COURSE INFORMATION
Department : Computer Engineering
Prerequisites/Requirements
for Admission :
Mode of delivery : Face to face
Course coordinator :
Course lecturer(s) :
Course assistant(s) :
Course description/aim
: Acquisition of the basic principles of software engineering and the ability to
apply them in a software development project. In this context the stages of the
software development lifecycle, and the tools and techniques used in each
stage are introduced.
Course contents
: Basic concepts of Software Engineering, Process Models, Project
Management, Requirements Analysis, System Models, Requirements
Specification, Prototyping, Software Design, Software Reliability, Validation
and Verification, Software Maintenance
Recommended optional
program components :
Compulsory Attendance : Yes
Course Learning Outcomes
Learning outcome Teaching
Methods/Techniques
Assessment method(s)
Students will be able to
1 understand software development processes Lectures / Presentations Projects, Presentations,
Exams
2 comprehend major software development
processes (waterfall, evolutionary and spiral).
Lectures / Presentations Projects, Presentations,
Exams
3 manage software projects and perform risk
analysis.
Lectures / Presentations Projects, Presentations,
Exams
4 specify the requirements of a software
project.
Lectures / Presentations Projects, Presentations,
Exams
5 implement prototyping in a software project. Lectures / Presentations Projects, Presentations,
Exams
6 develop UML models Lectures / Presentations Projects, Presentations,
Exams
7 understand software architecture models Lectures / Presentations Projects, Presentations,
Exams
8 design a software project. Lectures / Presentations Projects, Presentations,
Exams
9 use design patterns in a software project Lectures / Presentations Projects, Presentations,
Exams
10 participate in a teamwork in a software
project.
Lectures / Presentations Projects, Presentations,
Exams
11 specify user interfaces Lectures / Presentations Projects, Presentations,
Exams
Course
Code COM411
Course
Name Software Engineering
Type of
Course
Level of
Course Semester Language Theory
Application
(Practice) Laboratory
Local
Credits ECTS
Elective Bachelor 7 English 3 0 0 3 6
COURSE INFORMATION
12 apply test-driven development method in a
software project
Lectures / Presentations Projects, Presentations,
Exams
13 manage software maintenance activities Lectures / Presentations Projects, Presentations,
Exams
Weekly Detailed Course Content
Week Content Recommended
Resource(s)
Time
(Hours)
1 Introduction: The definition and importance of software
engineering, Software process and product types
Textbook/ Course
Notes
3
2 Software Process Models: Waterfall model, evolutionary
model and spiral model
Textbook/ Course
Notes
3
3 Software project management and risk analysis Textbook/ Course
Notes
3
4 Requirements engineering and its phases briefly Textbook/ Course
Notes
3
5
Requirements Engineering: Phases of Requirements
Engineering, Requirements Analysis and system models and
UML
Textbook/ Course
Notes
3
6 Requirements: Requirements types, Requirements definition. Textbook/ Course
Notes
3
7 Prototyping: Types of prototyping, tools and their usage in the
software process
Textbook/ Course
Notes
3
8 Midterm exam 2
9 Software Design: Design process, design approaches and
methods
Textbook/ Course
Notes
3
10 Architectural Design: system structuring and modular
decomposition
Textbook/ Course
Notes
3
11 Patterns: Architectural patterns and design patterns Textbook/ Course
Notes
3
12 User interface design, help system, user documents. Textbook/ Course
Notes
3
13 Validation and Verification: Static verification. Textbook/ Course
Notes
3
14 Validation and Verification: Types and phases of verification. Textbook/ Course
Notes
3
15 Software Maintenance: Types of maintenance, maintenance
cost, configuration management.
Textbook/ Course
Notes
3
16 Final exam 2
17 Final exam
Sources
Course
notes/textbooks : Sommerville, I., "Software Engineering", Addison Wesley, 2010
Readings :
Supplemental
readings :
References :
COURSE INFORMATION
Evaluation System
Work Placement Number Percentage of Grade
Attendance
Quizzes
Homework
Presentation 1 10
Laboratory/Practice
Report(s)
Graduate Thesis/Project
Seminar
Projects 2 40
Midterm exam(s) 1 20
Others
Final exam 1 30
Total 100
Percentage of semester work 70
Percentage of final exam 30
Total 100
Workload Calculation
Activity Number Time (hours) Total work load (hours)
Course hours 14 3 42
Individual study for
course 14 2 28
Midterm exam(s) 1 2 2
Final exam 1 2 2
Individual study for
presentation 1 6 6
Individual study for
project 6 5 30
Individual study for
midterm exams 4 5 20
Individual study for final
exam 4 6 24
Total 154
ECTS Credit(Total/25.5) 6
COURSE INFORMATION
Contribution of Learning Outcomes to Program Outcomes
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
LO1 4 2 5 3 4 3 2 4 4 3 4 2
LO2 4 3 4 2 4 3 2 4 3 3 4 2
LO3 4 2 3 2 5 2 4 3 3 2 4 3
LO4 4 3 4 3 5 3 2 2 2 2 2 1
LO5 4 3 4 4 4 2 1 1 2 2 2 3
LO6 4 2 3 3 4 3 2 2 3 2 4 2
LO7 4 3 2 2 4 3 2 2 3 3 4 2
LO8 4 2 2 1 5 2 1 1 2 2 3 2
LO9 4 2 3 1 4 3 1 2 2 2 4 3
LO10 4 3 5 5 4 4 5 2 1 2 4 2
LO11 4 2 2 2 4 2 3 2 2 2 4 3
LO12 4 3 3 2 4 3 2 3 2 2 4 2
LO13 4 2 2 2 4 2 3 3 3 3 4 4
Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High