DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING …€¦ · Design and Develop solutions:...

2015 – 2016

DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING

VISION The Department will provide quality and value based education to produce innovative

world-class computing engineers and will enhance quality research for the betterment of society

MISSION

• To impart high quality training, education and competence in information science domain through best-in class faculty and facilities

• To produce globally acceptable information science graduates who can contribute professionally to the industry and research activities by offering courses on emerging technologies.

• To provide platforms to work effectively and innovatively in multi-disciplinary domain.

GRADUATE ATTRIBUTES 1. Engineering Knowledge: Real world engineering problems are solved by applying

knowledge of science. 2. Problem Analysis: Identify, devise and analyze real world engineering problems using

principles of mathematics, sciences and information technologies. 3. Design and Develop solutions: Designing and developing solutions for engineering

problems based on needs while considering the norms of Safety and environmental conditions.

4. Conduct investigations of complex problems: Use research based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.

5. Modern Tool usage: Applying appropriate engineering techniques and tools that includes simulation and modeling to solve complex engineering problems

6. The engineering and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and their consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics, responsibilities and norms of engineering practice

9. Individual and Team Work: Participate and performs effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environment

Dept. of IS & E, NIE, Mysore 1

2015 – 2016

10. Communication: Communicate effectively with engineering community and the society through reports and presentations

11. Project Management and finance: Apply the principles of software engineering and fundamentals of finance to manage a project in multidisciplinary environment. In the verge of technological changes, there is a need to recognize and learn independently and also in a team.

12. Lifelong learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

PROGRAM EDUCATIONAL OBJECTIVES

PEO 1: Our graduates will be professionally successful in information technology career. PEO 2: Our graduates will successfully pursue higher studies in globally recognized institutions. PEO 3: Our graduates will build professionally successful careers in the field of emerging technologies.

PROGRAM OUTCOMES

PO 1: Ability to apply knowledge of mathematics and principles of computing to identify the problems of varying complexities. PO 2: Ability to analyze problems in the information science domain. PO 3: Ability to design models and develop solutions for information technology problems. PO 4: Ability to learn and use modern tools for emerging technologies. PO 5: Ability to communicate and prepare effective reports. PO 6: Ability to recognize contemporary issues and provide solutions for the betterment of society. PO 7: Ability to devise strategies for managing the cost effective projects. PO 8: Ability to synthesize solutions for existing problems within practical constraints. PO 9: Ability to participate as a member or to lead a team. PO 10: Ability to commit, apply professional ethics and principles in engineering practice.

Dept. of IS & E, NIE, Mysore 2

SCHEME OF TEACHING AND EXAMINATION DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING

SEVENTH SEMESTER – B.E

Sl.No

Subject Code Course Title Teaching

Dept

Contact Hours / Week Credits

L T P Total

1 IS0419 Management and Entrepreneurship Development

IS&E 3 2 0 5 4

2 IS0420 Java and J2EE IS&E 4 0 0 4 4

3 IS0421 Object Oriented Analysis and Design IS&E 4 0 0 4 4

4 IS0116 Java and J2EE Lab IS&E 0 0 2 2 1

5 IS0301 Project Work –I IS&E 0 0 6 6 3

6 IS04xx Elective – IV IS&E 4 0 0 4 4

7 IS04xx Elective – V IS&E 4 0 0 4 4

TOTAL 19 2 8 29 24

SCHEME OF TEACHING AND EXAMINATION DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING

EIGHT SEMESTER – B.E

Sl.No

Subject Code Course Title Teaching

Dept

Contact Hours / Week Credits

L T P Total

1 IS0422 Advanced Computer architecture IS&E 4 0 0 4 4

2 IS0202 Topic Seminar IS&E 0 0 4 4 2

3 IS0601 Project Work –II IS&E 0 0 12 12 6

4 IS04xx Elective – VI IS&E 4 0 0 4 4

5 IS04xx Elective – VII IS&E 4 0 0 4 4

6 IS04xx Elective – VIII IS&E 4 0 0 4 4

TOTAL 16 0 16 32 24

2015 – 2016

VII SEMESTER

MANAGEMENT AND ENTREPRENEURSHIP DEVELOPMENT (3:2:0) Sub code : IS0419 CIE : 50% Marks Hrs/week : 05 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Interpret board theoretical knowledge of management. 2. Identify the objectives of planning and organization. 3. Explain the importance of Directing and controlling functions. 4. Describe the basic concepts of entrepreneurship. 5. Create and present a business plan for a technology idea. 6. Interpret financial statements to exhibit technical proficiency.

UNIT 1: 7 Hrs Management: Introduction – Meaning – nature and characteristics of Management, Scope and functional areas of management – Management as a science, art or profession – Management and administration – Roles of management, Levels of management. Self Learning Exercise: Development of management thought –modern management approaches UNIT 2: 7 Hrs Planning and Organizing: Nature, importance and purpose of planning process – objectives - Types of plans- Decision making – Importance of planning – steps in planning, Planning premises. Nature and purpose of organization. Principles of organization. Self Learning Exercise: Types of organization UNIT 3: 6 Hrs Directing and Controlling Meaning and nature of directing – Leadership styles and motivation theories, communication – Meaning and importance – Coordination, meaning and importance and Techniques of Co – ordination. Self Learning Exercise: Meaning and steps in controlling – Essentials of a sound control system.

Dept of IS &E, NIE, Mysore 1

2015 – 2016

UNIT 4: 7 Hrs Entrepreneur: Meaning of Entrepreneur, Evolution of the Concept, Functions of an Entrepreneur, Types of Entrepreneur, Intrapreneur – an emerging Class. Concept of Entrepreneurship – Evolution of Entrepreneurship, development of Entrepreneurship steps in entrepreneurial process. Self Learning Exercise: Role of entrepreneurs in Economic Development: Entrepreneurship in India and Barriers. UNIT 5: 7 Hrs Preparation of a project: Meaning of Project; Project Identification; Project Selection; Project Report; Need and Significance of Report; Contents; formulation; Guidelines by Planning Commission for Project report; Network Analysis; Errors of Project Report; Project Appraisal. Identification of Business Opportunities: Market Feasibility Study; Technical Feasibility Study. Self Learning Exercise: Financial Feasibility Study & Social Feasibility Study UNIT 6: 6 Hrs Basics of Financial Statements: Balance sheet, Income statement. Self Learning Exercise: Cash flow statement. TEXT BOOKS:

1. Management and Entrepreneurship, N V R Naidu, T Krishna Rao, 4th Reprint 2009. 2. Understanding Financial Statements, James O. Gill, Moira chatton, First Indian

Edition, 2004, Reprinted 2005. REFERENCE BOOKS:

1. Principles of Management, P. C. Tripathi, P. N. Reddy; Tata McGraw Hill, 2nd Edition, 2008..

1. Entrepreneurship Development - Small Business Enterprises, Poornima M Charantimath - Pearson Education – 2006, 2nd Edition


2015 – 2016

JAVA AND J2EE (4:0:0) Sub code : IS0420 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Understand the format and use of java data types and operators. 2. Apply the concepts of classes, inheritance, overloading, overriding, interface and

constructors in writing java programs. 3. Demonstrate exception handling and multithreaded programming in Java. 4. Identify the multi-tier functionalities and patterns of J2EE 5. Analyze the usage of servlets, JSP, RMI 6. Explain the concepts of Enterprise Java Beans.

UNIT 1: 8 Hrs Introduction and Overview of Java: Creation of Java, Why Java, Byte Code, Java Buzzwords, Object-oriented programming, Simple Java programs. Data types Variables and Arrays: Primitive Types-Integers, Floating Point, Characters, Booleans; Literals, Variables, Type conversion and casting, Automatic Type Promotion in Expressions, Arrays. Operators: Arithmetic, Bitwise, Relational, Boolean logical, Assignment, The ‘?’ operator, Operator Precedence, Using parenthesis. Self Learning Exercise:Control Statements: Selection, Iteration, Jump Statements. UNIT 2: 9 Hrs Introducing Classes: Class Fundamentals, Declaring Objects, Assigning Object Reference variables, Introducing Methods, Constructors, this keyword, Garbage collection, finalize() method, Stack class. Closer Look at Methods and Classes: Overloading Methods, Using Objects as parameters, Argument passing, Returning objects, Recursion, Access control, static, final, Nested and Inner classes, Using Command line arguments. Inheritance: Inheritance basics, Using super, Multilevel Hierarchy, When constructors are called, Method overriding, Dynamic method dispatch, Abstract classes, final with inheritance, Object class. Packages and Interfaces: Packages, Access protection. Self Learning Exercise:Importing Packages, Interfaces


2015 – 2016

UNIT 3: 9 Hrs Exception Handling: Exception handling fundamentals, Types, Uncaught exceptions, try and catch, Multiple catch clauses, Nested try statements, Built-in exception, Creating own exception subclasses, Chained exceptions, Using Exceptions. Multithreaded Programming: Thread model, Main thread, Creating a thread, Multiple thread, isAlive() and join(), Priorities, Synchronization, Interthread communication, Suspending-Resuming-Stopping threads, Multithreading. Self Learning Exercise:Autoboxing / Unboxing UNIT 4: 9 Hrs JAVA 2 ENTERPRISE EDITION OVERVIEW J2EE and J2SE, Why J2EE? J2EE Multi-Tier Architecture: Distributive Systems, The Tier, Client Tier Implementation, Web Tier Implementation, Enterprise JavaBeans Timer Implementation. J2EE Design Patterns and Frameworks: The pattern concept, Pattern Catalog – Handle Forward, Translator, Distributor, Broadcaster, Zero Sum, Status Flag, Sequencer, Behavior Separation, Consolidator, Simplicity Patterns Self Learning Exercise: Enterprise Information Systems Tier Implementation, Stealth Pattern. UNIT 5: 8 Hrs JAVA SERVLETS: Java servlets and Common Gateway Interface Programming, A simple java servlet, Anatomy of a Java servlet: Deployment Descriptor, Reading data from client, Reading HTTP request headers, Sending data to a client and writing the HTTP response Header, working with Cookies. JSP: Java Server Pages (JSP): JSP, JSP Tags, Tomcat, Request String. User Session, session objects Self Learning Exercise: Tracking user sessions. Document Object Model (DOM). UNIT 6: 9 Hrs RMI, ENTERPRISE JAVA BEANS: Java Remote Method Invocation: Remote Method Invocation concept; Server side, Client side. Enterprise java Beans; Deployment Descriptors; Session Java Bean, Entity Java Bean. Self Learning Exercise: Message-Driven Bean; The JAR File.


2015 – 2016

TEXT BOOK: 1. Java: The Complete Reference – Herbert Schildt, McGraw Hill Education, 9th Edition,

2014 2. J2EE - The Complete Reference – Jim Keogh, Tata McGraw Hill, 2007 reprint.

REFERENCE BOOK:

1. Java handbook, Patrick Naughton, TMH, 2002 2. Programming with Java, Balaguruswamy, 2nd Edition. 3. The J2EE Tutorial – Stephanie Bodoff et al, 2nd Edition, Pearson Education, 2004


2015 – 2016

OBJECT ORIENTED ANALYSIS AND DESIGN (4:0:0) Sub code : IS0421 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Discuss the concept of Object Orientation and development. 2. Design of UML diagrams and different modeling concepts. 3. Analyze and design solutions for real world problems. 4. Discuss the usage of design patterns and the application analysis. 5. Analyze the steps involved in developing class models 6. Discuss different pattern categories

UNIT 1: 9 Hrs INTRODUCTION, MODELING CONCEPTS, CLASS MODELING: What is Object Orientation? What is OO development? OO themes; Evidence for usefulness of OO development; OO modeling history. Modeling as Design Technique: Modeling; abstraction; The three models. Class Modeling: Object and class concepts; Link and associations concepts; Generalization and inheritance. Self Learning Exercise: A sample class model; Navigation of class models. UNIT 2: 9 Hrs ADVANCED CLASS MODELING, STATE MODELING, INTERACTION MODELING: Advanced object and class concepts; Association ends; N-ary associations; Aggregation; Abstract classes; Multiple inheritance; Metadata; Reification; Constraints; Derived data. State Modeling: Events, States, Transitions and Conditions; State diagrams. Advanced State Modeling: Nested state diagrams; Nested states; Signal generalization; Concurrency; A sample state model; Relation of class and state models. Interaction Modeling: Use case models; Sequence models; Activity models. Self Learning Exercise: Packages; Use case relationships; Procedural sequence models. UNIT 3: 8 Hrs PROCESS OVERVIEW, SYSTEM CONCEPTION, DOMAIN ANALYSIS: Process Overview: Development stages; Development life cycle. System Conception: Devising a system concept; Elaborating a concept; Preparing a problem statement. Domain Analysis: Overview of analysis; Domain class model; Domain state model. Self Learning Exercise: Domain interaction model; Iterating the analysis.


2015 – 2016

UNIT 4: 9 Hrs APPLICATION ANALYSIS, SYSTEM DESIGN: Application Analysis: Application interaction model; Application class model; Application state model; Adding operations. system design:Overview of system design; Estimating performance; Making a reuse plan; Breaking a system in to sub-systems; Identifying concurrency; Allocation of sub-systems; Handling global resources; Choosing a software control strategy; Handling boundary conditions; Setting the trade-off priorities; Common architectural styles. Self Learning Exercise: Management of data storage ;Architecture of the ATM system as the example. UNIT 5: 9 Hrs CLASS DESIGN, IMPLEMENTATION MODELING, LEGACY SYSTEMS: Class Design: Overview of class design; Bridging the gap; Realizing use cases; Designing algorithms; Recursing downwards, Refactoring; Design optimization; Reification of behavior; Adjustment of inheritance; Organizing a class design. Implementation Modeling: Overview of implementation; Fine-tuning classes; Fine-tuning generalizations; Realizing associations; Testing. Legacy Systems: Reverse engineering; Building the class models; Building the interaction model; Building the state model. Self Learning Exercise: ATM example; Reverse engineering tips; Wrapping; Maintenance. UNIT 6: 8 Hrs DESIGN PATTERNS: What is a pattern and what makes a pattern? Pattern categories; Relationships between patterns; Pattern description. Communication Patterns: Forwarder-Receiver; Client-Dispatcher-Server; Publisher-Subscriber. Management Patterns: Command processor; View handler. Idioms: Introduction; What can idioms provide? Self Learning Exercise: Where to find idioms; Counted Pointer example; Idioms and style.


2015 – 2016

TEXT BOOKS: 1. Object-Oriented Modeling and Design with UML: Michael R Blaha, James R

Rumbaugh, 2nd Edition, Pearson Education, 2013 2. Pattern-Oriented Software Architecture: A System of Patterns - Volume 1 Frank

Buschmann, Regine Meunier, Hans Rohnert, Peter Sommerlad, Michael Stal, John Wiley and Sons, 2008

REFERENCE BOOKS:

1. Object Oriented Analysis and Design with the Unified Process Satzinger, Jackson, Burd, 2004

2. Object-Oriented Analysis and Design with Applications Grady Booch et al 3rd Edition, Pearson Education, 2007


2015 – 2016

JAVA AND J2EE LAB (0:0:2) Sub code : IS0116 Max. Marks: 50 Hrs/week : 02 Course Outcomes On Successful completion of the course, the students will be able to:

1. Write a java program to illustrate overloading and overriding methods. 2. Demonstrate various forms of inheritance. 3. Write a java program to illustrate the concepts of exception handling and multithreaded

programming. 4. Design and develop applet programs using different methods. 5. Demonstrate the concepts of JDBC and Servlets.

Java Programming

1. Write a Java Program for sorting a given list of names in ascending order using command line arguments.

2. Program Illustrating Overloading & Overriding methods in Java. 3. Program Illustrating the Implementation of Various forms of Inheritance. 4. Program to create packages in Java. 5. Program Illustrating checked and unchecked exceptions 6. Program to Create Thread life cycle, assign thread priority and display it. 7. Program to implement applet life cycle. 8. Program to implement and demonstrate simple calculator using applet.

J2EE Programming

Solving programs based on J2EE concepts TEXT BOOK:

1. Java: The Complete Reference – Herbert Schildt, McGraw Hill Education, 9th Edition, 2014

2. J2EE - The Complete Reference – Jim Keogh, Tata McGraw Hill, 2007 reprint.


2015 – 2016

PROJECT WORK – I (0:0:6) Sub code : IS0301 Max. Marks: 100 Hrs/week : 06 Course Outcome On Successful completion of the course, the students will be able to:

1. Identify the different areas of interest feasible to the project group. 2. Formulate the problem and perform problem analysis. 3. Develop the design methods to solve the identified problems.

In the first stage of the project work students are expected to identify the problem to be

solved. This requires understanding the complete problem. The various need analysis and constraint the may arise in solving the problems are thoroughly analyzed.

In this phase of the project students are going to formulate the problem, which comprises requirements, alternative solution or the best solution possible for the problem.

Here the students are going to work in terms of batch. The batch is limited to maximum of 4 students.


2015 – 2016

VIII SEMESTER

ADVANCED COMPUTER ARCHITECTURE (4:0:0) Sub code : IS0422 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Pre-Requisite: Computer Organization Course Outcomes On Successful completion of the course, the students will be able to:

1. Understand the pipeline scheduling techniques. 2. Identify the challenges in different levels of parallelism. 3. Discuss the concepts of parallel processing and multiprocessor systems. 4. Explain the performance criteria for single and multicore processors. 5. Differentiate between the Thread - level and Instruction level parallelism. 6. Analyze the multi kernel architecture.

UNIT 1: 9 Hrs FUNDAMENTALS REVIEW PIPELINING: Introduction: Pipeline scheduling, Arithmetic pipelines, Implementation of pipeline. CACHE: Cache Optimizations SLE: Cache Performance. UNIT 2: 9 Hrs INSTRUCTION –LEVEL PARALLELISM – 1 Concepts and challenges; Basic Compiler Techniques for exposing ILP; Reducing Branch costs with prediction; Overcoming Data hazards with Dynamic scheduling. SLE: Dynamic scheduling: Examples and Algorithm. UNIT 3: 8 Hrs INSTRUCTION –LEVEL PARALLELISM – 2 Hardware-based speculation, Exploiting ILP using multiple issue and static scheduling; Exploiting ILP using dynamic scheduling, multiple issue and speculation; Advanced Techniques for instruction delivery and Speculation. SLE: Studies of the limitations of ILP.


2015 – 2016

UNIT 4: 9 Hrs MULTIPROCESSORS AND THREAD –LEVEL PARALLELISM: Introduction; Symmetric shared-memory architectures; Distributed shared memory and directory-based coherence; Basics of synchronization. SLE: Models of Memory Consistency: An introduction UNIT 5: 8 Hrs PARALLELISATION OF SEQUENTIAL PROGRAMS: Parallel Application Case Studies: The Parallelization process. SLE: Parallelization of an example program. UNIT 6: 9 Hrs OPERATING SYSTEMS SUPPORT FOR MULTI-CORE ARCHITECTURES: Embracing diversity in the Barrel fish many-core operating system. SLE: Research paper: The Multikernel: A new OS architecture for scalable multi-core systems. TEXT BOOKS:

1. Computer Architecture, A Quantitative Approach – John L. Hennessey and David A. Patterson: 5th Edition, Elsevier, 2011.

2. Parallel Computer Architecture, A Hardware / Software Approach – David E. Culler, Jaswinder Pal Singh, Anoop Gupta: Morgan Kaufman, 1999.

REFERENCE BOOKS:

1. Advanced Computer Architecture Parallelism, Scalability Programmability– Kai Hwang: Tata McGraw-Hill, 2003

2. B. Parhami, Introduction to Parallel Processing: Algorithms and Architectures, Plenum series, KLUWER ACADEMIC PUBLISHERS, 2008


2015 – 2016

TOPIC SEMINAR (0:0:4) Sub code : IS0202 Max. Marks: 50 Hrs/week : 04 Course Outcome On Successful completion of the course, the students will be able to:

1. Recognize relevance of the topic chosen 2. Explain current real world issues by doing literature survey 3. Identify the depth of the topic 4. Prepare presentations to convey the essence of the topic clearly. 5. Justify the comments and questionnaires from audience.

Seminar should be given by individual student based on current emerging area and

technologies


2015 – 2016

PROJECT WORK – II (0:0:12) Sub code : IS0601 Max. Marks: 100 Hrs/week : 12 Pre-Requisite: Project Work - I Course Outcome On Successful completion of the course, the students will be able to:

1. Implement the proposed design of phase- I. 2. Compute the results obtained from the implementation. 3. Validate the obtained results using various test cases. 4. Demonstrate and present the project. 5. Prepare the report of the project work.

In the second phase of the project work students are expected to implement the problem

solving process taken in the phase – 1. The outcome of the project is to highlight model and analysis and also the results obtained.


2015 – 2016

ELECTIVES

INFORMATION STORAGE AND MANAGEMENT (4:0:0) Sub code : IS0424 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Motivate business stakeholders and IT teams on the critical role of storage infrastructure. Also establish how businesses can strategically gain competitive advantage by successfully managing their information.

2. Understand various physical and logical components of storage systems and their behavior, which is critical for successful design of storage infrastructure.

3. Recommend efficient storage provisioning technique and RAID implementation to meet applications capacity, availability and performance requirements.

4. Recommend appropriate storage networking option such as FC SAN, IP SAN, NAS, and object-based and unified storage solutions to meet customers’ requirements.

5. Discuss appropriate business continuity strategy and solution that helps business to mitigate lose of millions of dollars and reputation in the market

6. Discuss backup, replication and archival requirements and solutions, for business critical data

UNIT 1: 8 Hrs Introduction to Information Storage: Information Storage, Evolution of Storage Architecture, Data Center Infrastructure, Virtualization and Cloud Computing. Data Center Environment: Application, Database Management System (DBMS), Host (Compute), Connectivity, Storage, Disk Drive Components, Disk Drive Performance, Host Access to Data, Direct-Attached Storage, Storage Design Based on Application Requirements and Disk Performance Self Learning Exercise: Disk Native Command Queuing, Introduction to Flash Drives. UNIT 2: 9 Hrs Data Protection: RAID, RAID Implementation Methods, RAID Array Components, RAID Techniques, RAID Levels, RAID Impact on Disk Performance, RAID Comparison, Hot Spares. Intelligent Storage Systems: Components of an Intelligent Storage System. Self Learning Exercise: Storage Provisioning, Types of Intelligent Storage System


2015 – 2016

UNIT 3: 9 Hrs Fibre Channel Storage Area Networks: Fibre Channel: Overview, The SAN and Its Evolution, Components of FC SAN, FC Connectivity, Switched Fabric Ports, Fibre Channel Architecture, Fabric Services, Switched Fabric Login Types, Zoning. Self Learning Exercise: FC SAN Topologies, Virtualization in SAN. UNIT 4: 9 Hrs IP SAN and FCoE: iSCSI, FCIP, FCoE Network-Attached Storage: General-Purpose Servers versus NAS Devices, Benefi ts of NAS, File Systems and Network File Sharing, Components of NAS, NAS I/O Operation, NAS Implementations, NAS File-Sharing Protocols, Factors Affecting NAS Performance, File-Level Virtualization. Object-Based and Unified Storage: Object-Based Storage Devices. Self Learning Exercise: Content-Addressed Storage, Unified Storage. UNIT 5: 9 Hrs Introduction to Business Continuity: Information Availability, BC Terminology, BC Planning Life Cycle, Failure Analysis, Business Impact Analysis, BC Technology Solutions Backup and Archive: Backup Purpose, Backup Considerations, Backup Granularity, Recovery Considerations, Backup Methods, Backup Architecture, Backup and Restore Operations, Backup Topologies, Backup in NAS Environments, Backup Targets, Data Deduplication for Backup. Self Learning Exercise: Backup in Virtualized Environments, Data Archive. UNIT 6: 9 Hrs Local Replication: Replication Terminology, Uses of Local Replicas, Replica Consistency, Local Replication Technologies, Tracking Changes to Source and Replica, Restore and Restart Considerations, Creating Multiple Replicas, Local Replication in a Virtualized Environment. Remote Replication: Modes of Remote Replication, Remote Replication Technologies, Three-Site Replication, Data Migration Solutions. Self Learning Exercise: Remote Replication and Migration in a Virtualized Environment


2015 – 2016

TEXT BOOKS: 1. Information Storage and Management, 2nd Edition, Wiley- India 2009, G.

Somasundaram, Alok Shrivastava (Editors) REFERENCE BOOKS:

1. Storage Networks Explained, Wiley India, 2003. Ulf Troppens, Rainer Erkens and Wolfgang Muller

2. Storage Networks, The Complete Reference, Tata McGraw Hill, 2003. Rebert Spalding

3. Storage Area Networks Essentials A Complete Guide to Understanding and Implementing SANs, Wiley India, 2002. Richard Barker and Paul Massiglia.


2015 – 2016

SOFTWARE TESTING, PRACTICE AND PRINCIPLES (4:0:0) Sub code : IS0431 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Compare the Development and Testing functions 2. Obtain a broad theoretical knowledge of blackbox and integration testing 3. Identify the objectives of system and integration testing 4. Ability to explain the importance of performance testing 5. Obtain a broad theoretical knowledge of software test automation 6. Create and present a test plan

UNIT 1: 8 Hrs Common People Issues: Perceptions and misconceptions about testing, Comparison between Testing and Development functions, providing career paths for testing professionals. White Box testing: What is White box testing Self Learning Exercise: Structural testing, Challenges in White Box testing. UNIT 2: 9 Hrs Black Box testing: What is Black Box Testing? Why Black Box Testing? When to do Black Box Testing? How to do Black box Testing? Integration testing: What is Integration Testing? Integration testing as a type of testing, Integration testing as a phase of testing. Self Learning Exercise: Scenario Testing, Defect Bash UNIT 3: 9 Hrs System testing: System Testing overview, Why is system testing done? Regression Testing: What is Regression Testing? Types of regression testing, When to do regression testing? Self Learning Exercise: How to do regression testing? UNIT 4: 9 Hrs Performance Testing: Introduction, Factors, Methodology for performance testing. Self Learning Exercise: Tools, Process & Challenges


2015 – 2016

UNIT 5: 8 Hrs Software Test Automation: What is Test Automation? Terms, Skills, What to Automate? Scope, Design and Architecture, Selecting a Test Tool. Self Learning Exercise: Challenges in Automation UNIT 6: 9 Hrs Test Planning: Test Plan, Scope, Test Approach, Criteria, Responsibilities, Staffing, Training, Resource, Test deliverables, Testing Tasks, Activity breakdown and Scheduling, Communication, Risk Test Management: Standards, Infrastructure, People, and Integration with product release Test Process: Base lining, Test Case specification, Traceability, Identifying automation candidates. Self Learning Exercise: Executing Test cases, Test Summary report TEXT BOOKS:

1. Software Testing Principles and Practices – Srinivasan Desikan, Gopalaswamy Ramesh, Ninth Impression : 2011, PEARSON

REFERENCE BOOKS:

1. Foundations of Software Testing – Aditya P Mathur, Pearson Education, 2008 2. Software Testing and Analysis – Mauro Pezze, Michal Young, Wiley India, Reprint:

2009


2015 – 2016

WIRELESS COMMUNICATION AND NETWORKS (4:0:0) Sub code : IS0432 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Describe and use advances in wireless technology and ubiquitous access to information. 2. Analyse the evolution of mobile radio communications. 3. Explain the basic cellular concepts. 4. Explain mobile radio propagation. 5. Differentiate between different modulations techniques for mobile radio. 6. Describe different multiple access techniques for wireless communications.

UNIT 1: 8 Hrs Introduction to Wireless Communication Systems & Networking: Evolution of Mobile Radio Communications, Mobile Radio Systems around the world, examples of Wireless Communication Systems, Paging System, Cordless Telephone System, Cellular Telephone Systems,How a cellular call is made, Comparison of Common Wireless Communications Systems Self Learning Exercise: Trends in cellular radio and personal communications. UNIT 2: 9 Hrs Modern Wireless Communications Systems: Second generation (2G), Cellular Networks, evolution of 2.5G, TDMA Standards, Third Generation (3G) Wireless Networks, Wireless Local Loop (WLL) and LMDS, Wireless Local Area Networks (WLANs). Self Learning Exercise: Bluetooth and Personal Area Networks (PANS) UNIT 3: 9 Hrs The Cellular Concept: System Design Fundamentals, Introduction, Frequency reuse, channel assignment strategies, handoff strategies – prioritizing handoffs, Practical Handoff considerations. Interference and system capacity, co-channel interference and system capacity, channel planning for wireless systems, adjacent channel interference. Self Learning Exercise: power control for reducing interference.


2015 – 2016

UNIT 4: 8 Hrs Mobile Radio Propagation: Introduction to radio wave propagation, Free space propagation model, Relating power to electric field, three basic propagation mechanisms: Reflection, Ground reflection, Diffraction, Scattering. Self Learning Exercise: Radar Cross Section Model UNIT 5: 9 Hrs Modulation Techniques for Mobile Radio: Frequency modulation Vs amplitude modulation, Amplitude modulation, Angle modulation, Digital Modulation, Linear Modulation techniques – Binary phases shift keying (BPSK), Differential Phase Shift Keying (DPSK), Quadrature Phase Shift Keying (QPSK), Constant envelope modulation – Binary Frequency Shift Keying. Self Learning Exercise: Minimum Shift Keying (MSK), Gaussian Minimum Shift Keying (GMSK). UNIT 6: 9 Hrs Multiple Access Techniques for Wireless Communications: Introduction to Multiple Access, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Spread Spectrum Multiple Access, Space Division Multiple Access (SDMA), packet radio protocols, Reservation Protocols – Reservation ALOHA, Packet Reservation Multiple Access (PRMA) Self Learning Exercise: Capacity of cellular systems. TEXT BOOK:

1. Wireless Communications, Principles and Practice, second edition, Theodore S Rappaport, Publisher:New Delhi: Dorling Kindersley, 2009.

REFERENCE BOOKS:

1. Mobile Communications Engineering Theory and Applications, Second Edition, William C Y Lee McGraw Hill Telecommunications 1998.

2. Wireless Communications and Networks, William Stallings Pearson Education Asia, 2005.


2015 – 2016

CRYPTOGRAPHY AND NETWORK SECURITY (4:0:0) Sub code : IS0433 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Explain different attacks and security issues in computers, and therefore explain various cryptographic techniques to overcome these security issues.

2. Describe various symmetric key algorithms. 3. Describe various Asymmetric key algorithms and digital signatures. 4. Explain digital certificates and key management required for security in computer

networks. 5. Describe the authentication protocols and Kerberos. 6. Explain the various protocols in network security. Describe firewalls and VPNs.

UNIT 1: 10 Hrs Attacks on Computers and Computer Security: Introduction, The need for security, Security Approaches, Principles of Security, Types of attacks Cryptography: concepts and Techniques: Introduction. Plain Text and Cipher Text, Substitution Techniques, Transposition Techniques, Encryption and Decryption, Symmetric and Asymmetric Key Cryptography. Self learning component: Steganography, Key range and Key size, Possible types of attacks. UNIT 2: 8 Hrs Symmetric Key Algorithms and AES: Introduction, An Overview of Symmetric Key Cryptography, Data Encryption Standard(DES), Advanced Encryption Standard(AES). Self learning component: International Data Encryption Algorithm(IDEA), RC4, RC5, Blowfish UNIT 3: 8 Hrs Asymmetric Key Algorithms, Digital Signatures and RSA: Introduction, An Overview of Asymmetric Key Cryptography, The RSA algorithm, Symmetric and Asymmetric Key Cryptography Together. Self learning component: Digital Signatures, Fermat's and Euler's Theorems, Euler’s Algorithms.


2015 – 2016

UNIT 4: 10 Hrs Digital Certificates and Key Management: Introduction, Digital Certificates, Private Key Management. Internet Security Protocols: Secure Socket Layer(SSL), Time Stamping Protocol(TSP), Secure Electronic Transaction(SET), Email Security, WAP Security. Self learning component: Security in GSM, Security in 3G. UNIT 5: 9 Hrs User Authentication and Kerberos: Introduction, Authentication Basics, Passwords, Authentication Tokens, Certificate-based Authentication, Kerberos. Self learning component: Key Distribution Center(KDC), Security Handeshake Pitfalls. UNIT 6: 7 Hrs Network Security, Firewalls and Virtual private Networks: Introduction, Firewalls, IP Security, Virtual Private Networks. Self learning component: Intrusion. TEXT BOOK:

1. Cryptography and Network Security, Atul Kahate, Tata McGraw-Hill, 2003. REFERENCE BOOK:

1. Cryptography and Network Security – Principles and Practices, William Stallings, Prentice Hall of India, Third Edition, 2003.

2. Applied Cryptography, Bruce Schneier, John Wiley & Sons Inc, 2001. 3. Cryptography and Network Security, Behrooz Forouzan, SIE, 2nd Edition, McGraw-

Hill


2015 – 2016

CLOUD COMPUTING (4:0:0) Sub code : IS0434 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Identify and analyze the open-source platforms for private clouds, service – level and Compliance – level agreements, and software licensing.

2. Discuss applications of cloud in science and engineering, biology research, and social computing.

3. Describe terms used in virtualization. 4. Compare different queuing and scheduling technique in cloud. 5. Analyze the security of virtualization and the security risks posed by shared images and

by the management operating system. 6. Use of different services provided by application.

UNIT 1: 12 Hrs Introduction: Network-centric computing and network-centric content, Peer-to-peer systems, Cloud computing – an old idea whose time has come, Cloud computing delivery models and services, Ethical issues in cloud computing, Cloud vulnerabilities, Major challenges faced by cloud computing. Cloud Infrastructure: Cloud Computing at Amazon, Cloud Computing: The Google Perspective, Microsoft Windows Azure and Online Services, Open-Source Software Platforms for Private Clouds, Cloud Storage Diversity and Vendor Lock-in, Cloud Computing Interoperability: The Intercloud, Energy Use and Ecological Impact of Large-Scale Data Centers, Service- and Compliance-Level Agreements. Self Learning Exercise: Responsibility Sharing Between User and Cloud Service Provider, User Experience, Software Licensing. UNIT 2: 7 Hrs Cloud Computing: Applications and Paradigms, Challenges for Cloud Computing, Existing Cloud Applications and New Application Opportunities, Architectural Styles for Cloud Applications, Workflows: Coordination of Multiple Activities, Coordination Based on a State Machine Model: The ZooKeeper, The MapReduce Programming Model, A Case Study: The GrepTheWeb Application, Clouds for Science and Engineering, High-Performance Computing on a Cloud, Cloud Computing for Biology Research Self Learning Exercise: Social Computing, Digital Content, and Cloud Computing


2015 – 2016

UNIT 3: 7 Hrs Cloud Resource Virtualization: Virtualization, Layering and Virtualization, Virtual Machine Monitors, Virtual Machines, Performance and Security Isolation, Full Virtualization and Paravirtualization, Hardware Support for Virtualization, Case Study: Xen, a VMM Based on Paravirtualization, Optimization of Network Virtualization in Xen 2.0, vBlades: Paravirtualization Targeting an x86-64 Itanium Processor, A Performance Comparison of Virtual Machines. Self Learning Exercise: The Darker Side of Virtualization, Software Fault Isolation. UNIT 4: 9 Hrs Cloud Resource Management and Scheduling: Policies and Mechanisms for Resource Management, Applications of Control Theory to Task Scheduling on a Cloud, Stability of a Two-Level Resource Allocation Architecture, Feedback Control Based on Dynamic Thresholds, Coordination of Specialized Autonomic Performance Managers, A Utility-Based Model for Cloud-Based Web Services, Resource Bundling: Combinatorial Auctions for Cloud Resources, Scheduling Algorithms for Computing Clouds, Fair Queuing, Start-Time Fair Queuing, Borrowed Virtual Time, Cloud Scheduling Subject to Deadlines, Scheduling MapReduce Applications Subject to Deadlines. Self Learning Exercise: Resource Management and Dynamic Application Scaling UNIT 5: 8 Hrs Cloud Security: Cloud Security Risks, Security: The Top Concern for Cloud Users, Privacy and Privacy, Trust, Operating System Security, Virtual Machine Security, Security of Virtualization, Security Risks Posed by Shared Images, Security Risks Posed by a Management OS. Self Learning Exercise: Xoar: Breaking the Monolithic Design of the TCB, A Trusted Virtual Machine Monitor UNIT 6: 9 Hrs Cloud Application Development: Amazon Web Services: EC2 Instances, Connecting Clients to Cloud Instances Through Firewalls, Security Rules for Application and Transport Layer Protocols in EC2, How to Launch an EC2 Linux Instance and Connect to it, How to Use S3 in Java, How to Manage SQS Services in C#, How to Install the Simple Notification Service on Ubuntu 10.04, How to Create an EC2 Placement Group and Use MPI, How to Install Hadoop on Eclipse on a Windows System, Cloud-Based Simulation of a Distributed Trust Algorithm, A Trust Management Service, A Cloud Service for Adaptive Data Streaming. Self Learning Exercise: Cloud-Based Optimal FPGA Synthesis


2015 – 2016

TEXT BOOK: 1. Cloud Computing: Theory and Practice, Dan C. Marinescu, Morgan Kaufmann, 2013

REFERENCE BOOK:

1. Cloud Computing Bible by Barrie Sosinsky, Wiley India 2. Cloud Security by Ronald Krutz and Russell Dean Vines, Wiley-India.


2015 – 2016

PARALLEL PROGRAMMING (4:0:0) Sub code : IS0435 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Understand parallel programming on multi-core microprocessor 2. Demonstrate OpenMP program 3. Identifying performance using OpemMP

UNIT 1: 8 Hrs Introduction Why Parallel Computers needed, Shared-Memory Parallel Computers , Cache Memory Is Not Shared , Implications of Private Cache Memory , Programming SMPs and the Origin of OpenMP. What Are the Needs, A Brief History of Saving Time , What Is OpenMP? Creating an OpenMP Program , The Bigger Picture , Parallel Programming Models, Realization of Shared- and Distributed-Memory Models. Self Learning Exercise: Ways to Create Parallel Programs, A Simple Comparison. UNIT 2: 9 Hrs Overview of OpenMP Introduction, The Idea of OpenMP, The Feature Set, Creating Teams of Threads, Sharing Work among Threads, The OpenMP Memory Model , Thread Synchronization, Other Features to Note , OpenMP Programming Styles, Correctness Considerations. Self Learning Exercise: Performance Considerations UNIT 3: 9 Hrs Writing OpenMP programs Introduction, Matrix Times Vector Operation , C Implementations of the Problem, A Sequential Implementation of the Matrix Times, Vector Operation Using OpenMP to Parallelize the Matrix Times Vector Product. Self Learning Exercise: Keeping Sequential and Parallel Programs as a Single Source Code. UNIT 4: 8 Hrs OpenMP Language Features Introduction, Terminology, Parallel Construct, Sharing the Work among Threads in an OpenMP Program , Loop Construct , The Sections Construct, The Single Construct, Workshare


2015 – 2016

construct Combined Parallel Work-Sharing Constructs, Clauses to Control Parallel and Work-Sharing Constructs, Shared Clause, Private Clause, Lastprivate Clause, Firstprivate Clause, Default Clause. Self Learning Exercise: Nowait Clause, Schedule Clause. UNIT 5: 9 Hrs OpenMP synchronization OpenMP Synchronization Constructs, Barrier Construct, Ordered Construct, Critical Construct, Atomic Construct, Locks , Master Construct , Interaction with the Execution Environment, More OpenMP Clauses, If Clause , Num threads Clause , Ordered Clause, Reduction Clause, Copyin Clause, Copyprivate Clause, Advanced OpenMP Constructs , Nested Parallelism. Self Learning Exercise: Flush Directive, Threadprivate Directive UNIT 6: 9 Hrs How to Get Good Performance by Using OpenMP Introduction , Performance Considerations for Sequential Programs , Memory Access Patterns and Performance, Translation-Lookaside Buffer, Loop Optimizations , Use of Pointers and Contiguous Memory in C, Using Compilers, Measuring OpenMP Performance , Understanding the Performance of an OpenMP Program, Overheads of the OpenMP Translation , Interaction with the Execution Environment , Best Practices , Optimize Barrier Use, Avoid the Ordered Construct , Avoid Large Critical Regions , Maximize Parallel Regions , Avoid Parallel Regions in Inner Loops, Address Poor Load Balance , Additional Performance Considerations. Self Learning Exercise: The Single Construct Versus the Master Construct, Avoid False Sharing, Private Versus Shared Data. TEXT BOOK:

1. Using OpenMP Portable Shared Memory Parallel Programming, Barbara Chapman, Gabriele Jost, Ruud van der Pas , The MIT Press Cambridge, Massachusetts , 2008.

REFERENCE BOOK:

1. OpenMP Application Program Interface version 3.0 May 2008. OpenMP architecture Review board


2015 – 2016

REAL TIME SYSTEMS (4:0:0) Sub code : IS0425 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Comparing Hard and Soft real time systems. 2. Identifying temporal parameters of real time work load. 3. Comparing approaches to real time scheduling. 4. Explain and Apply Clock driven scheduling to real time systems 5. Explain and Apply priority scheduling to real time systems 6. Explain Resources Access Control and real time protocols

UNIT 1: 8 Hrs Hard Versus Soft Real-Time Systems: Jobs and Processors, Release Times, Deadline and Timing Constraints, Hard and Soft timing Constraints, Hard Real-Time Systems, Soft Real-Time Systems. Self Learning Exercise: Application of RTS UNIT 2: 9 Hrs A Reference model of Real-Time systems: Processors and Resources, Temporal Parameters of Real-Time Work load, Periodic task model, Precedence Constraints and Data dependency, other types dependencies. Functional parameters of resources Self Learning Exercise: Scheduling hierarchy. UNIT 3: 9 Hrs Approaches to Real-Time Scheduling: Clock-Driven approach, Weighted Round-Robin approach. Priority driven approach. Dynamic Versus Static Systems, Effective Release times and deadlines, optimality of the EDF and LST algorithms, Non-Optimality of the EDF and LST algorithms Self Learning Exercise: off-Line versus on-line scheduling. UNIT 4: 8 Hrs Clock-driven Scheduling: Notations and assumptions, static, Timer-Driven Scheduler, General Structure Cyclic Schedulers Cyclic executives, Improving the average response time of a periodic jobs, Scheduling Sporadic Jobs Self Learning Exercise: Problem on sporadic jobs schedule


2015 – 2016

UNIT 5: 9 Hrs Priority-Driven Scheduling of Periodic Tasks: Static assumption, Fixed Priority Versus Dynamic Priority algorithms, Maximum Scheduling utilization, Optimality of the RM and DM algorithms, A schedulability test for fixed-Priority tasks with arbitrary response times. Self Learning Exercise: Derivation of schedulability test of RM algorithm. UNIT 6: 9 Hrs Resources and Resources Access Control: Assumptions on resources and their usage, Effects of resources contention and resources access control Non preemptive critical section, Basic Priority – Ceiling Protocol, Stack-Based priority – Ceiling Protocol, Use of priority-ceiling protocol in Dynamic-Priority Systems, Preemption-Ceiling Protocol, Model of Real-time Communication, Priority-Based Service Disciplines for switched Networks. Self Learning Exercise: Real time protocol. TEXT BOOK:

1. Real Time Systems – Jane W.S. Liu Pearson Education Asia, First Indian Reprint-2001. REFERENCE BOOK:

1. Real Time Systems Design and Analysis: An Engineer’s Hand book Second Edition, Lapante.


2015 – 2016

CYBER SECURITY (4:0:0) Sub code : IS0438 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Define what cybercrime is and identify the classifications of cybercrime. 2. Classify and explain the various types of cyber attacks and steps involved in planning

cyber crime. 3. Describe the security challenges faced by the mobile workforce and their implication

under the cybercrime era. 4. Distinguish the different tools and methods used in cybercrime. 5. Point out the impact of Phishing in comparison with other methods used in cybercrime

for identity theft. 6. Explain the legal perspectives in cybersecurity and challenges to Indian law (Indian IT

act). UNIT 1: 9 Hrs Introduction to Objectives: Introduction to cybercrime, Cybercrime and information security, who are Cybercriminals, Classification of Cybercrimes, Cybercrime: The Legal Perspectives, An Indian Perspective, Cybercrime and the Indian ITA 2000,A global perspective on cybercrimes. Self Learning Exercise: Cybercrime era: Survival mantra for the citizens. UNIT 2: 8 Hrs Cyber offenses: Introduction, How criminal plan the attacks, Social engineering, Cyber stalking, Cybercafe and cybercrimes, Botnets: The fuel for cybercrime, Attack vector. Self Learning Exercise: Cloud Computing. UNIT 3: 9 Hrs Cybercrime: Mobile and Wireless devices Introduction, Proliferation of mobile and wireless devices, Trends in mobility, Security challenges posed by mobile devices, Registry setting for mobile devices, Authentication service security, Attacks on mobile/ cell phones, Mobile devices: security implications for organizations, Organization measures for handling mobile, Organizational security policies. Self Learning Exercise: Measures in mobile computing era, Laptops.


2015 – 2016

UNIT 4: 9 Hrs Tools and method used in Cybercrime: Introduction, Proxy servers and anonymizers, Phishing, Password cracking, Key loggers and spywares, Virus and worms, Trojan horses and backdoors, Steganography, DoS and DDoS attacks, SQL injection, Buffer overflow. Self Learning Exercise: Attacks on wireless networks. UNIT 5: 8 Hrs Phishing and identity theft: Introduction, Phishing, Identity theft (id theft). UNIT 6: 9 Hrs Cybercrimes and Cyber Security: The legal perspectives Introduction, Cybercrime and the legal landscape around the world, why do we need cyber laws: the Indian context, The Indian IT act, Challenges to Indian law and cybercrime scenario in India, Consequences of not addressing the weakness in information technology act. Self Learning Exercise: The Indian IT act TEXT BOOK:

1. Cyber Security by Nina Godbole,Sunit Belapure, Wiley India, 1st edition copyright 2011 reprint 2013.

REFERENCE BOOK:

1. Computer Forensics and Cyber Crime An Introduction by Marjie T. Britz ,Pearson publication, 2nd edition.


2015 – 2016

COMPUTER FORENSICS (4:0:0) Sub code : IS0439 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Identify and need for computer forensics 2. Describe the computer forensic technology 3. Illustrate the process of data recovery 4. Determine various aspects of collecting and preserving computer evidence 5. Assess the authenticity of evidences and forensic identification. 6. Estimate various ways to handle files, evidence related data and network forensics

scenarios. UNIT 1: 9 Hrs Computer forensics fundamentals: Introduction: what is computer forensics?, Use of computer forensics in law enforcement, Computer forensics assistance to human resources /employment proceedings, Computer forensics services, Benefits of professional forensics methodology, Steps taken by computer forensics specialists. Self Learning Exercise: Who can use computer forensic evidence and problems of computer forensic evidence UNIT 2: 8 Hrs Types of computer forensics technology: Types of military computer forensic technology, Types of law enforcement, Computer forensic technology, Types of business computer forensic technology, Occurrence of cybercrime, Cyber detectives, Fighting cyber crime with risk –management techniques, Computer forensics investigative services. Self Learning Exercise: Forensic process improvement. UNIT 3: 9 Hrs Data recovery: Introduction of Data recovery , Data back-up and recovery, the role of back-up in data recovery. Self Learning Exercise: The data-recovery solution.


2015 – 2016

UNIT 4: 9 Hrs Evidence collection and data seizure: Why collect evidence?, Collection options, Obstacles, Types of evidence, The rules of evidence, Volatile evidence, General procedure, Collection and archiving, Methods of collection, Artifacts, Collection steps, Preserving the digital crime scene, Computer evidence processing scene, Legal aspects of collecting forensic evidence. Self Learning Exercise: Controlling contamination: The chain of custody UNIT 5: 8 Hrs Computer image verification and authentication: Special needs of evidential authentication, Practical consideration, Practical implementation, Electronic document discovery :a powerful new litigation tool, Time travel. Self Learning Exercise: Forensics identification and Analysis of technical surveillance devices. UNIT 6: 9 Hrs Reconstruction past events: How to become a digital detective, Useable file formats, Unusable file formats, Converting files, Network forensics scenario, A technical approach, Destruction of e-mail, Damaging computer evidence, Documenting the intrusion on destruction of data. Self Learning Exercise: System testing. TEXT BOOK:

1. Computer Forensics computer crime scene investigation by John R VACCA , Firewall Media ,2009 edition Reprint 2012.

REFERENCE BOOK:

1. Guide to computer forensics and investigations by Bill Nelson, Amelia Phillips, Christopher Stuart, Cengage Learning publications, 4th edition 2013.

2. Computer Forensics by David Cowen -CISSP , Mc GrawHill education , Indian edition 2013.


2015 – 2016

ANDROID PROGRAMMING (4:0:0) Sub code : IS0441 CIE : 50% Marks Hrs/week : 04 SEE : 50% Marks SEE Hrs : 03 Hours Max. Marks: 100 Course Outcomes On Successful completion of the course, the students will be able to:

1. Describe the world of mobility and discuss various approaches and technologies to App development.

2. Design App user interface. 3. Illustrate App functionality and handling an App’s data needs. 4. Discuss Animation, graphics libraries and multimedia options available 5. Create location aware Apps and usage of device sensors. 6. Use Framework for testing individual app component

UNIT 1: 9 Hrs Mobility and Android: Introduction, Mobility Panorama, Mobile Platforms, App Development Approaches, Android Overview Getting Started with Android: Introduction, Setting up Development Environment, Saying Hello to Android, Traversing an Android App Project Structure, Logical Components of an Android App. Self Learning Exercise: Android Tool Repository, Installing and Running App Devices UNIT 2: 9 Hrs Learning with an Application – 3CheersCable: Introduction, 3CheersCable App, Mobile App Development Challenges, Tenets of a Winning App App User Interface: Introduction, Activity, UI Resources, UI Elements and Events, Let's Apply, Interaction among Activities, Let's Apply, Fragments, Let's Apply Self Learning Exercise: Action Bar, Let's Apply UNIT 3: 8 Hrs App Functionality – Beyond UI: Introduction, Threads, AsyncTask, Let's Apply, Service, Notifications, Intents and Intent Resolution, Broadcast Receivers, Telephony and SMS, Let's Apply


2015 – 2016

App Data – Persistence and Access: Introduction, Flat Files, Shared Preferences, Let's Apply, Relational Data, Data Sharing Across App Self Learning Exercise: Enterprise Data, Let's Apply UNIT 4: 9 Hrs Graphics and Animation: Introduction, Android Graphics, Android Animation, Let's Apply Multimedia: Introduction, Audio, Video and Images, Playback, Let's Apply Self Learning Exercise: Capture and Storage UNIT 5: 9 Hrs Location Services and Maps: Introduction, Google Play Services, Location Services, Maps Sensors: Introduction, Sensors in Android, Android Sensor Framework, Motion Sensors Self Learning Exercise: Position Sensors, Environment Sensors, Let's Apply UNIT 6: 8 Hrs Testing Android Apps: Introduction, Testing Android App Components, App Testing Landscape Overview Publishing Apps: Introduction, Groundwork, Configuring, Self Learning Exercise: Packaging, Distributing TEXT BOOK:

1. Composing Mobile Apps Using Android, Anubhav Pradhan, Anil V Deshpande, Wiley, 1st Edition, 2014.

REFERENCE BOOK:

1. Professional Android 4 Application Development, by Reto Meier, WROX Press, Wiley Publishing


2015 – 2016

RESEARCH METHODOLOGY (2:0:0) Sub code : IS02 CIE : 50% Marks Hrs/week : 02 SEE : 50% Marks SEE Hrs : 02 Hours Max. Marks: 50 Course Outcomes On Successful completion of the course, the students will be able to:

1. Describe research methodology 2. Explain the technique of defining a research problem 3. Discuss research design and their characteristics 4. Identify different sampling designs 5. Define different measurement, scaling techniques and multidimensional scaling. 6. Categorize different methods of data collection.

UNIT 1: 5 Hrs Research Methodology: An Introduction Meaning of Research, Objectives of Research, Motivation in Research, Types of Research, Research Approaches, Significance of Research, Research Methods versus Methodology, Research and Scientific Method, Importance of Knowing How Research is Done, Research Process, Criteria of Good Research. Self Learning Exercise: Problems Encountered by Researchers in India UNIT 2: 3 Hrs Defining the Research Problem: What is a Research Problem? Selecting the Problem, Necessity of Defining the Problem, Technique Involved in Defining a Problem, Conclusion Self Learning Exercise: An Illustration UNIT 3: 5 Hrs Research Design: Meaning of Research Design, Need for Research Design, Features of a Good Design, Important Concepts Relating to Research Design, Different Research Designs, Conclusion Self Learning Exercise: Basic Principles of Experimental Designs


2015 – 2016

UNIT 4: 4 Hrs Sampling Design: Census and Sample Survey, Implications of a Sample Design, Steps in Sampling Design, Criteria of Selecting a Sampling Procedure, Characteristics of a Good Sample Design, Different Types of Sample Designs, How to Select a Random Sample? Random Sample from an Infinite Universe, Conclusion. Self Learning Exercise: Complex Random Sampling Designs UNIT 5: 4 Hrs Measurement and Scaling Techniques: Measurement in Research, Measurement Scales, Sources of Error in Measurement, Tests of Sound Measurement, Technique of Developing Measurement Tools, Scaling, Meaning of Scaling, Scale Classification Bases, Important Scaling Techniques. Self Learning Exercise: Scale Construction Techniques UNIT 6: 5 Hrs Methods of Data Collection: Collection of Primary Data, Observation Method, Interview Method, Collection of Data through Questionnaires, Collection of Data through Schedules, Difference between Questionnaires and Schedules, Some Other Methods of Data Collection, Collection of Secondary Data, Selection of Appropriate Method for Data Collection. Self Learning Exercise: Case Study Method. TEXT BOOK:

1. Research Methodology, Methods and Techniques, by C.R. Kothari, New age publishers, 2nd Edition, 2012.

REFERENCE BOOK:

1. Research Methodology, by Mukul Gupta, Deepa Gupta, PHI, 2011


2015 – 2016

MOBILE APPLICATIONS (0:2:0) Sub code : IS0119 CIE : 50 Marks Hrs/week : 02 Course Outcome On Successful completion of the course, the students will be able to:

1. Describe the world of mobility and discuss various approaches and technologies to App development.

2. Design App user interface. The student is expected to choose a real world problem, solve and demonstrate the same with appropriate devices. Mobility and Android: Introduction, Mobility Panorama, Mobile Platforms, App Development Approaches, Android Overview Getting Started with Android: Introduction, Setting up Development Environment, Saying Hello to Android, Traversing an Android App Project Structure, Logical Components of an Android App. Android Tool Repository, Installing and Running App Devices App User Interface: Introduction, Activity, UI Resources, UI Elements and Events, Let's Apply, Interaction among Activities, Let's Apply, Fragments, Let's Apply, Action Bar, Let's Apply TEXT BOOK:

1. Composing Mobile Apps Using Android, Anubhav Pradhan, Anil V Deshpande, Wiley, 1st Edition, 2014.

REFERENCE BOOK:

1. Professional Android 4 Application Development, by Reto Meier, WROX Press, Wiley Publishing


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