Guru Jambheshwar University of Science & …Unit- III Power series, radius and circle of...

MATHEMATICS-III

Course Code: MAT-201-L

Course Credits: 3.5

Mode: Lecture(L) and Tutorial(T)

Type: Compulsory

Contact Hours: 3 hours (L) + 01

hour (T) per week.

Examination Duration: 03 hours.

Course Assessment Methods (Internal: 30; External: 70) Two

minor test each of 20marks, class performance measured through

percentage of lecture attended (4 marks), assignments, quiz etc. (6

marks) and end semester examination of 70 marks. \

For the end semester examination, nine question are to be set by the

examiner. Question number one will be compulsory and based on the

entire syllabus, it will contain seven short answer type question. Rest

of the eight questions is to be given by setting two questions from

each of the four units of the syllabus. A candidate is required to

attempt any other four questions selecting one from each of the four

units. All questions carry equal marks.

Prerequisite: Basic knowledge of calculus, complex analysis and statistics.

Course outcomes:

1. Problems of Fourier series and Fourier transforms used in engineering applications.

2. Calculation of improper/ singular integrals with the help of complex analysis.

3. Statistical tests for system goodness.

4. Problems of LPP and their interpretation. Unit-I

Fourier Series and Fourier Transforms: Euler’s formulae, conditions for a Fourier expansion, change of interval, Fourier expansion of odd and even functions, Fourier expansion of square wave, rectangular

wave, saw-toothed wave, half and full rectified wave, half range sine and cosine series. Fourier integrals,

Fourier transforms, Shifting theorem (both on time and frequency axes), Fourier transforms of

derivatives, Fourier transforms of integrals, Convolution theorem, Fourier transform of Dirac delta

function.

Unit-II

Functions of Complex Variable: Definition, Exponential function, Trigonometric and Hyperbolic

functions, Logarithmic functions. Limit and Continuity of a function, Differentiability and

Analyticity.Cauchy-Riemann equations, necessary and sufficient conditions for a function to be analytic,

polar form of the Cauchy-Riemann equations. Harmonic functions. Integration of complex functions.

Cauchy Theorem, Cauchy- Integral formula.

Unit-III

Power series, radius and circle of convergence, Taylor's Maclaurin's and Laurent's series.Zeroes and singularities of complex functions, Residues.Evaluation of real integrals using residues (around unit and semi circle only).

Unit-IV

Probability Distributions and Hypothesis Testing: Expected value of a random variable. Properties and

application of Binomial, Poisson and Normal distributions. Testing of a hypothesis, tests of significance

for large samples, Student’s t-distribution (applications only), Chi-square test of goodness of fit. Linear

Programming: Linear programming problems formulation, Solving linear programming problems using

(i) Simplex method.

Text books:

1. Advanced Engg. Mathematics : F Kreyszig.

2. Higher Engg. Mathematics : B.S. Grewal.

Reference books:

1. Advance Engg. Mathematics : R.K. Jain, S.R.K. Iyenger.

2. Advanced Engg. Mathematics : Michael D. Greenberg.

3. Operation Research : H.A. Taha.

4. Probability and statistics for Engineers: Johnson. PHI.

ANALOG ELECTRONICS - I

General Course Information:

Course Code: ECE-201-L

Course Credits: 3.5

Contact Hours: 4/week, (L-T-P: 3-1-0)

Mode: Lectures and Tutorials

Examination Duration: 3 hours

Course Assessment Methods (internal: 30; external: 70) Two minor

tests each of 20 marks, Class Performance measured through percentage

of lectures attended (4 marks) Assignments (4 marks) and class

performance (2 marks), and end semester examination of 70 marks.

For the end semester examination, nine questions are to be set by the


entire syllabus. It will contain seven short answers type questions. Rest

of the eight questions is to be given by setting two questions from each

of the four units of the syllabus. A candidate is required to attempt any

other four questions selecting one from each of the remaining four units.

All questions carry equal marks.

Pre-requisites: Basics of Electronics Engineering

Course Objectives:

1. To familiarize with the semiconductor properties, P-N diodes and its applications.

2. To implement circuit design using transistors.

3. To explain the high frequency analysis of the transistors.

4. To analyze AC as well as DC parameters of the circuits.

Course Outcomes:

1. Understand the significance of the diode in electronics system design.

2. Understand the analysis of transistor at low and high frequencies.

3. To have a better understanding of major topics/projects for the forthcoming semesters.

4. To understand the design & implementation of minor/major projects using power supply.

Course Contents

UNIT 1

Conduction in Semiconductor: Conductivity of a semiconductor, Carrier concentration in an

intrinsic semiconductor, Fermi level in Intrinsic and extrinsic semiconductor, Carrier lifetime,

Continuity equation, Hall Effect.

Semiconductor diode characteristics: Qualitative theory of PN junctions, PN junction as diode,

band structure of an open circuited p-n junction, current components in a PN diode, PN diode

Switching times, tunnel diode, rectifier with filter circuits.

UNIT 2

BJT : Review of BJT : construction – operation - characteristics, Eber’s moll model, BJT as an

amplifier and switch, limits of operation, thermal runaway, stability factor, bias stability of self

bias-emitter bias- collector to base bias , bias compensation: thermistor and sensistor.

AC and DC load line for a CE amplifier, Transistor hybrid model, h-parameter (CE, CB, CC),

analysis of transistor amplifier circuit using h-parameter, simplified CE hybrid model, frequency

response of RC coupled amplifier.

UNIT 3

MOSFET: Review of device structure- operation and V-I characteristics of JFETs and MOSFET

(depletion and enhancement), MOSFET as a switch and amplifier, FET small signal model, V-

MOSFET, common source amplifier, source follower, biasing the FET, FET as a voltage variable

resistor.

UNIT 4

Transistor at High Frequencies: Miller’s theorem, Hybrid Pi model, CE emitter short circuit

current gain, frequency response, beta cut-off frequency, gain bandwidth product.

Regulated power supplies: Series and shunt voltage regulators, three terminal fixed IC voltage

regulator (78xx/79xx), adjustable voltage regulator (LM 317), SMPS.

Text Book & Reference Books:

1) Electronics devices and Circuits( 4e): Millman, Halkias and Jit ; McGrawHill

2) Electronics Devices & Circuits: Boylestad & Nashelsky ; Pearson

3) Electronic circuit analysis and design (Second edition): D.A.Neamen; TMH

4) Electronics Principles: Malvino ; McGrawHill

5) Electronics Circuits: Donald L. Schilling & Charles Belove ; McGrawHill

6) Electronic devices and circuits (3e): S salivahanan, N suresh Kumar

SIGNALS AND SYSTEMS



Course Credits: 3.5




Course Assessment Methods (internal: 30; external: 70) Two

minor tests each of 20 marks, Class Performance measured through

percentage of lectures attended (4 marks) Assignments (4 marks) and

class performance (2 marks), and end semester examination of 70

marks.



entire syllabus. It will contain seven short answers type questions.

Rest of the eight questions is to be given by setting two questions

from each of the four units of the syllabus. A candidate is required to

attempt any other four questions selecting one from each of the

remaining four units. All questions carry equal marks.

Pre-requisites: Basics of Electronics Engineering

Course Objectives:

1. To understand basic signals used to represent any complex signal and Systems.

2. To understand continuous-time and discrete-time linear systems.

3. Students can apply Fourier analysis to important problems in communication and signal

processing applications.

4. To understand the conversion of analog signal into digital signal using Sampling theoren.

Course Outcomes:

1. The Student will be able to understand the classification of signals and systems.

2. Describe the concepts of Fourier series, Fourier Transform.

3. Students get familiarized with the behavior of Linear Time Invariant System.

4. Students get familiarized with sampling and Reconstruction of Analog Signals, Digital

Signal, Fourier Transform and Z-transforms.

Course Contents

UNIT I

Introduction to Signal

Signal Definition, Classification of Signals, Basic/Singularity Continuous and Discrete-Time

Signals, Basic operations: Time Shifting, Time Reversal, Time Scaling on signals, Signal

representation in terms of singular functions, Correlation of Signals and its Properties,

Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem,

Reconstruction , Aliasing.

UNIT II

System & its Properties

System, classification of Systems: Linear & Nonlinear Systems; Static & Dynamic Systems,

Causal & Non-causal System, Invertible & Noninvertible, Stable & Unstable System, Time

variant & Time Invariant Systems with examples, Linear Time-Invariant Systems: Definition

and Properties, Impulse Response, Convolution Sum/Integral and its Properties, Representation

of LTI systems using Differential and Difference equations.

UNIT III

Fourier Series & Fourier Transform

Introduction to Frequency domain Representation, Fourier Series Representation of Periodic

Signals, Convergence of Fourier Series, Properties of Fourier Series, Fourier Transform for

periodic and Aperiodic signals, Convergence of Fourier Transform, Properties of Fourier

Transform, Applications of Fourier Transform.

Discrete-Time Fourier Transform:

Fourier Transform representation for Discrete –Time Aperiodic & Periodic Signals, Properties of

Discrete –Time Fourier Transform, Basic Fourier Transform Pairs.

UNIT IV

Z-Transform

Introduction to Z-Transform, Region of Convergence (ROC) for Z-Transform, Z-Transform

Properties, Inverse Z-Transform, Analysis of LTI Systems Using Z-Transform, Application of z-

transform, Introduction to Hilbert Transform.

Text Books:

1. A. V. Oppenheim, A. S. Willsky, with S. Nawab “Signals & Systems”, Prentice –Hall India.

2. Tarun K. Rawat, “Signal & Systems”, Oxford University Press.

3. Farooq Husain, “Signals & Systems”, Umesh Publications.

Reference Books:

1. S. Salivahanan, A. Vallavraj, C. Gnanapriya, “Digital Signal Processing”, Tata McGraw Hill.

2. J. G. Proakis, D. G. Manolakis, “Digital Signal Processing, Principles, Algorithms, &

Applications”, Prentice –Hall India.

3. B. Kumar, “Signals and Systems”, New Age International Publishers.

DATA STRUCTURES & ALGORITHMS


Pre-requisites: C Language

Course Objectives:

1. To understand major algorithms and data structures.

2. To analyze the performance of algorithms.

3. To be familiar with writing recursive methods.

4. To determine which algorithm or data structure to use in different scenarios.

Course Outcomes:

1. Demonstrate the abstract properties of various data structures like stacks, queues, lists,

trees and graphs and their use effectively in application programs.

2. Able to understand the various sorting algorithms, including bubble sort, insertion sort,

selection sort, heap sort and quick sort.

3. Understand and apply fundamental algorithmic problems including Tree traversals,

Graph traversals, and shortest paths

4. Understand the Trace and code recursive functions.

Course Contents

UNIT-I

Basic Terminology: Elementary Data Organization, Data Structure Operations.

Arrays: Array Definition and Analysis, Representation of Linear Arrays in Memory, Traversing

of Linear Arrays, Insertion and Deletion, Single Dimensional Arrays, Two Dimensional Arrays,

Multidimensional Arrays, Sparse Matrix.

Stacks and Queues: Operations on Stacks- Push, Pop, Peep, Representation of stacks.

Application of stacks - polish expression and their compilation conversion of infix expression to

prefix and postfix expression, Tower of Hanoi problem, Representation of Queues, Operations

on queues: Create, Add, Delete, Priority Queues, Dequeues, Circular Queue.


Course Credits: 3






percentage of lectures attended (4 marks), Assignments (4 marks) and


marks.








UNIT - II

Linked Lists: Singly linked lists: Representation of linked lists in memory, Traversing,

Searching, Insertion into, Deletion from linked list, Header Linked List, Doubly linked list.

Trees: Definition of trees and Binary trees, Properties of Binary trees and Implementation,

Binary Traversal pre-order, post order, In- order traversal, Binary Search Trees,

implementations, Threaded trees, Balanced multi way search trees, AVL Trees, Implementations

UNIT - III

Graphs: Definition of Undirected and Directed Graphs and Networks, The Array based

implementation of graphs, Adjacency matrix, path matrix implementation, The Linked List

representation of graphs, Shortest path Algorithm, Graph Traversal – Breadth first Traversal,

Depth first Traversal, Tables: Definition, Hash function, Implementations and Applications.

UNIT - IV

Sorting Algorithms: Introduction, Sorting by exchange, selection, insertions: Bubble sort,

Straight selection sort, Efficiency of above algorithms,; Shell sort, Performance of shell sort,

Merge sort, Merging of sorted arrays& Algorithms; Quick sort Algorithm analysis,

Heap sort: Heap Construction, Heap sort, bottom – up, Top – down Heap sort approach;

Searching Algorithms: Straight Sequential Search, Binary Search (recursive & non–recursive

Algorithms)

Text Book:

Data Structures using C by A. M. Tenenbaum, Langsam, Moshe J. Augentem, PHI Pub.

Reference Books:

1. R. B. Patel, Expert Data Structures With C, Khanna Publications, Delhi, India, 3rd

Edition 2008.

2. Data Structures and Algorithms by A.V. Aho, J.E. Hopcroft and T.D. Ullman, Original

edition, Addison-Wesley, 1999, Low Priced Edition.2.

3. Fundamentals of Data structures by Ellis Horowitz & Sartaj Sahni, Pub, 1983,AW

4. Fundamentals of computer algorithms by Horowitz Sahni and Rajasekaran.

5. R.L. Kruse, B.P. Leary, C.L. Tondo, Data structure and program design in C , PHI

6. Data Structures and Program Design in C By Robert Kruse, PHI,

7. Theory & Problems of Data Structures by Jr. Symour Lipschetz, Schaum’s outline by

TMH

8. Introduction to Computers Science -An algorithms approach , Jean Paul Tremblay,

Richard B. Bunt, 2002, T.M.H.

9. Data Structure and the Standard Template library – Willam J. Collins, 2003, T.M.H

NETWORK ANALYSIS AND SYNTHESIS


Pre-requisites: Mathematics, Physics, Electrical Technology

Course Objectives:

1. To make the students capable of analyzing any given electrical network.

2. To familiarize students with different types of two port parameters.

3. To make the students learn how to synthesize an electrical network from a given

impedance/ admittance function.

4. To familiarize students with graph theory of network solving.

Course Outcomes:

1. Students will be able to analyze the various electrical and electronic networks using the

techniques they learned during the course.

2. Students will be able to infer and evaluate transient response, Steady state response,

network functions and two-port network parameters.

3. Students will be able to synthesize electrical networks from its immittance function.

4. Students will be able to solve networks using graph theory.

Course Contents

UNIT1

LAPLACE TRANSFORM: Introduction to Laplace transform & its properties, Laplace

transform of special signal waveforms, Inverse Laplace transform, Use of Laplace Transform in

solving electrical networks.

TRANSIENT RESPONSE: Initial Conditions of resistive, inductive & capacitive Elements,

Time domain analysis of simple linear circuits: Transient & Steady state Response of RC, RL,

RLC Circuits to various excitation signals such as step, ramp, impulse and sinusoidal excitations

using Laplace transform.


Course Credits: 3.5








marks.








UNIT 2

NETWORK FUNCTIONS: Terminal pairs or Ports, Network functions for one-port and two-

port networks, poles and zeros of Network functions, Restrictions on pole and zero Locations for

driving point functions and transfer functions, Time domain behaviour from the pole-zero plot.

PARAMETERS OF TWO PORT NETWORKS: Relationship of two-port variables, short-

circuit Admittance parameters, open circuit impedance parameters, Transmission parameters,

hybrid parameters, relationships between parameter sets, Inter-connection of two port networks.

UNIT 3

NETWORK GRAPH THEORY: concept of network graph , terminology used in network

graph, relation between Twigs and Links, properties of tree in a graph, formation of incidence

Matrix[Ai], number of trees in a graph, Graph matrices: cut-set matrix, tie set matrix,

formulation of network equilibrium equations, network analysis using graph theory.

UNIT4

NETWORK SYNTHESIS: Concept & significance of Positive real functions, concept of

network synthesis, driving point immittance function structure of LC network, LC network

synthesis using foster and cauer form, driving point immittance function structure of RC & RL

network, RC & RL network synthesis by Foster and Cauer form.

FILTERS: Introduction to filters, Characteristics of filters, Filter Classification, Passive Filters:

Analysis & Design of prototype HPF, LPF, BPF, & BSF, introduction to m-derived filters,

Active Filters: Introduction of active filters.

REFERENCE BOOKS

1. Network Analysis & Synthesis:F.F.Kuo; John Wiley & Sons Inc.

2. Network Analysis & synthesis: S.P Ghosh; McGraw Hill

3. Circuit Theory: A chakrabarty; Dhanpat Rai Publication

4. Engineering Network Analysis & Filter Design: G.G Bhise, P.R Chadha, D.C

Kulshreshtha;Umesh Publication.

5. Network Analysis: Van Valkenburg; PHI .

DIGITAL ELECTRONICS



Course Credits: 3.5





minor tests each of 20 marks, Class Performance measured

through percentage of lectures attended (4 marks) Assignments (4

marks) and class performance (2 marks), and end semester

examination of 70 marks.

For the end semester examination, nine questions are to be set by

the examiner. Question number one will be compulsory and based

on the entire syllabus. It will contain seven short answers type

questions. Rest of the eight questions is to be given by setting two

questions from each of the four units of the syllabus. A candidate

is required to attempt any other four questions selecting one from

each of the remaining four units. All questions carry equal marks.

Pre-requisites: Basics of Electronics

Course Objectives: 1. To learn basic concepts of digital electronics which are used to build all electronics

devices like phones, controllers and computers etc. 2. The subject uses a bottom-up approach to teach a beginner about digital electronics

and to design very simple to complex digital circuits. 3. To introduce with state machines

4. To give the basic knowledge for digital automation systems

Course Outcomes:

1. Analyze and design basic combinational SOP and POS logic systems and apply

various simplification techniques to combinational logic.

2. Distinguish between the various programmable logic devices and draw logic using the

short hand logic commonly used in PLDs.

3. Determine waveforms and state diagrams, with SR, D, JK and T flip-flops. Analyze

and design basic sequential logic systems including counters.

4. Design finite state machines in an efficient manner.

Course Contents

Unit I Digital signal, logic gates: AND, OR, NOT, NAND, NOR, EX-OR, EX-NOR, Boolean

algebra. Review of Number systems. Binary codes: BCD, Excess-3, Gray, EBCDIC, ASCII, Binary arithmetics, Error detection

and correction codes. Karnaugh map and Quine Mcluskey methods of simplification.

Digital Logic Families: Switching mode operation of p-n junction, bipolar and MOS devices. Bipolar logic families: RTL, DTL, DCTL, HTL, TTL, ECL, MOS, and CMOS logic

families. Tristate logic.

Unit II

Combinational Circuit Design: Circuit design using gates, adder, subtractor, comparator,

BCD to seven segment, code converters etc.

Design Using MSI Devices: Multiplexers and Demultiplexers and their use as logic

elements, Decoders, Encoders, Adders / Subtractors, BCD arithmetic circuits

Unit III

Flip Flops: S-R, J-K, T, D, master-slave, edge triggered, flip flop conversions.

Shift registers, bidirectional shift register, sequence generators, Ring counters and Johnson

Counter, Design of Asynchronous and Synchronous Counters. Finite State Machines: Timing diagrams (synchronous FSMs), Moore versus Mealy, FSM

design procedure- State diagram, State-transition table, State minimization, State encoding, Next-state logic minimization, Implement the design.

Unit IV

A/D and D/A Convertors: Weighted resistor and R -2 R ladder D/A Converters, specifications for D/A converters.

A/D converters: Quantization, parallel -comparator, successive approximation, counting type,

dual-slope ADC, specifications of ADCs.

PLDs: ROM, PLA, PAL, FPGA and CPLDs, Implementation of combinational circuits using

ROM, PLA and PAL.

TEXT BOOK :

1. Modern Digital Electronics(Edition III) : R. P. Jain; TMH

REFERENCE BOOKS :

1. Digital Integrated Electronics : Taub & Schilling; MGH 2. Digital Principles and Applications : Malvino & Leach; McGraw Hill.

3. Digital Design : Morris Mano; PHI.

FUNDAMENTALS OF MANAGEMENT

Course Code: HUM-201-L

Course Credits: 3.0

Mode: Lecture (L) and Tutorial (T)

Type: Compulsory

Contact Hours: 3 hours (L) + 0 hour

(T) per week.


Course Assessment Methods (Internal: 30; External: 70) Two minor

test each of 20marks, class performance measured through percentage of

lecture attended (4 marks), assignments, quiz etc. (6 marks) and end

semester examination of 70 marks.



entire syllabus; it will contain seven short answer type questions. Rest of

the eight questions is to be given by setting two questions from each of

the four units of the syllabus. A candidate is required to attempt any

other four questions selecting one from each of the four units. All

questions carry equal marks.

Prerequisite: The students should have basic understanding of the concept of management and

business organizations.

Objectives:

1. To enhance knowledge skills and attitude to Management.

2. To understand management and its relationship with organisation.

Course outcomes:

1. To develop the basic understanding of the concept of management and functions of

management.

2. The students will come to know about Human Resource management and Marketing

management functions of management.

3. Students will come to know about the production activities of any manufacturing

organisations.

4. To know that how finances are arranged and disbursed for all the activities of business

organisations.

Unit-I Concept of Management: Definitions, Characteristics, Significance, Practical Implications;

Management Vs. Administration; Management- Art, Science and Profession; Development of

Management Thoughts; Managerial Functions.

Unit-II

Concept of Human Resource Management: Human resource planning; Recruitment, Selection,

Training and Development, Compensation; Concept of Marketing Management: Objectives and

functions of Marketing, Marketing Research, Advertising, ConsumerBehaviour.

Unit-III Concept of Production Management, Production Planning and Control, Material management,

Inventory Control, Factory location and Production Layout.

Unit-IV Concept of Financial Management, Capital Structure and various Sources of Finance, Working Capital, Short term and long term finances, Capital Budgeting.

REFERENCE BOOKS:

1. Marketing Management: S. A. Sherlikar; Himalaya Publishing House.

2. Financial Management: I.M. Pandey; Vikas Publishing House.

3. Production Management: B. S. Goel; Himalaya Publishing House.

4. Organisation and Management: R. D. Aggarwal; Tata McGraw Hill.

5. Principles and Practices of Management: R. S. Gupta, B. D. Sharma, N. S. Bhalla;

Kalyani Publishers.

ANALOG ELECTRONICS - I LAB


Course Code: ECE-201-P, Course Credits: 1,

Contact Hours: 2/week per group(L-T-P: 0-0-2)

Mode: Lab Work

Course Assessment

(Internal: 30; External: 70)

Course Objectives:

1. To understand the use of diode for designing various circuits.

2. To make familiar with the various characteristics of transistor and its applications.

3. To familiarize the students with the use of regulator ICs.

4. To familiarize the students with minor/major project design.

Course Outcomes:

1. To verify the working of diode and its applications.

2. Student is expected to be comfortable with the design of different electronics circuits.

3. To have understanding of circuit design using FET/MOSFET.

4. To understand the voltage power supply design & testing.

LIST OF EXPERIMENTS

1) To study V-I characteristics of diode.

2) To study the characteristics of half wave & full wave rectifiers with filter circuit.

3) To design and observe the output waveform of the clipper circuits.

4) To design and observe the output waveform of the clamper circuits.

5) To study of Zener diode as a voltage regulator.

6) To study the characteristics of CB and CE configurations of transistor.

7) Study of CC amplifier as a buffer.

8) To study the frequency response of RC coupled amplifier.

9) To study of 3-terminal IC regulators.

10) Study of transistor as a constant current source in CE configuration.

11) To design the dc voltage doubler.

12) To study the I-V characteristics of FET in CS/CD configurations.

NOTE: At least eight experiments are to be performed in the semester, out of which at least six

experiments should be performed from above list. Remaining experiments may either be

performed from the above list or designed & set by the concerned institution as per the scope of

the syllabus.

NETWORK ANALYSIS AND SYNTHESIS LAB




Mode: Lab Work

Course Assessment


Course Objectives:

1. To familiarize with the response of RL, & RC circuits.

2. To verify the theoretical parameters calculation with measurement on hardware.

3. To familiarize with the response of active filters.

4. To verify the theoretical concepts of resonance of RLC circuit on hardware.

Course Outcomes:

1. Students shall be able to relate theoretical concepts with practical experiments.

2. Students shall be able to verify theoretical concepts related to transient response,

active filters & two port network parameters on hardware.

3. To verify theoretical concepts related to two-port network parameters on hardware.

4. Able to analyze behaviour of active filters.

LIST OF EXPERIMENTS

1. Transient response of RC circuit.

2. Transient response of RL circuit.

3. To find the resonance frequency, Band width of RLC series circuit. 4. To calculate and verify "Z" parameters of a two port network.

5. To calculate and verify "Y" parameters of a two port network. 6. To calculate and verify "ABCD" parameters of a two port network.

7. To calculate and verify “H” parameters of a two port network. 8. To determine equivalent parameter of parallel connections of two port network.

9. To plot the frequency response of low pass filter (LPF) and determine half-power frequency.

10. To plot the frequency response of high pass filter (HPF) and determine the half-power

frequency.

11. To plot the frequency response of band-pass filters (BPF) and determine the band-

width.

12. To synthesize a network of a given network function and verify its response.

NOTE: At least eight experiments are to be performed in the semester, out of which at

least six experiments should be performed from above list. Remaining experiments may

either be performed from the above list or designed & set by the concerned institution as

per the scope of the syllabus.

DIGITAL ELECTRONICS LAB




Mode: Lab Work

Course Assessment


Pre-requisites: Basic Electronics

Course Objective:

1. To understand the digital logic

2. To create various systems by using these logics

3. To find faults in digital circuits

4. To make the base for digital automation.

Course Outcomes: 1. Understanding of digital circuits

2. Ability of implementation of digital circuits on bread board.

3. Ability to identify and debug the connection related problems.

4. Ability to design and realize the digital circuits.

LIST OF EXPERIMENTS

1. Study of TTL gates – AND, OR, NOT, NAND, NOR, EX-OR, EX-NOR. Realization of

basic gates using Universal logic gates.

2. Design & realize a given function using K-maps and verify its performance.

3. Design and realize adder and subtractor circuits.

4. Design and realize comparator and parity generator circuits.

5. Design and realize 3 bit binary to gray code converter.

6. Implementation of multiplexer/encoder using logic gates.

7. Implementation and verification of Decoder/De-multiplexer

8. To verify the truth tables of S-R, J-K, T & D type flip flops.

9. Design a 4-bit shift-register and verify its operation.

10. Design, and verify the 4-bit synchronous counter.

11. Design, and verify the 4-bit asynchronous counter.

12. Design, and verify the 4-bit ring counter and twisted ring counter.

13. To design and verify the operation of synchronous decade counter using J K flip-flops.

14. To design and verify the operation of asynchronous decade counter using T flip-flops.

15. Mini Project. Implementation of any digital circuit on multipurpose board.

NOTE: At least eight experiments are to be performed in the semester, out of which atleast

six experiments should be performed from above list. Remaining experiments may either be

performed from the above list or designed & set by the concerned institution as per the

scope of the syllabus.

PERSONALITY DEVELOPMENT

Course Code: PSY-201-L

Course Credit: 0.0

Contact Hours: 03hrs/week

Mode: Lectures (L-2;T-01)

Examination Duration: 3

Hours

Course Assessment Methods (Internal: 30; External: 70) Two minor test

each of 20marks, class performance measured through percentage of lecture

attended (4 marks), assignments, quiz etc. (6 marks) and end semester

examination of 70 marks. \


examiner. Question number one will be compulsory and based on the entire

syllabus; it will contain seven short answer type questions. Rest of the eight

questions is to be given by setting two questions from each of the four units

of the syllabus. A candidate is required to attempt any other four questions

selecting one from each of the four units. All questions carry equal marks.

Objectives:

1. Holistic development of the students.

2. Make the students to understand self and personality through the interactive task based sessions.

3. To develop the life skills required to lead an effective personal and professional life.

Expected outcomes:

1. Understand the concept of self and personality.

2. Develop the life skills required to lead an effective personal and professional life.

Course Contents

Unit-I

Understanding the concept of self, Self-Esteem, Characteristics of individuals with high and low self-

esteem. Self- Confidence, Strategies of building self-confidence. Case Study.

Unit-II

Understanding Personality, Factors affecting Personality: Biological, Psychological

Social, Theories of Personality: Freud, Allport.

Personality Assessment- Neo-Big Five Personality Test; T.A.T

Unit-III

Stress: Causes of Stress and its impact, Strategies of stress management.

Case study.

Unit-IV

Emotional Intelligence: Concept, emotional quotient why Emotional Intelligence matters, Measuring EQ,

Developing healthy emotions.

Management of anger and interpersonal relations, Case study.

TEXT BOOKS:

1. Burger, J.M. (1990), Personality, Wardsworth: California.

2. Hall C.S.,Lindzey, G.(1978), Theories of Personality, New York: Wiley Eastern Limited.

3. Morgan, C.T.King R.A. Weisz, J.R., and Schopler, J. (1987), Introduction to Psychology,

Singapore: McGraw Hill.

4. Byronb. D., and Kalley, N. (1961). Introduction to Personality: Prentice Hall.

5. Taylor,S.E., (2009). Health Psychology (9th Ed). New Delhi: Tata McGraw-Hill Publishing

Company Ltd

ELECTRONIC MEASUREMENTS & INSTRUMENTATION


Pre-requisites: Basic of Electronics Engineering

Course Objective:

1. To understand the working and performance criterion of measuring instruments.

2. Implementation of the different signal generators and its analysis techniques. 3. To understand the working principle of the transducers.

4. To understand state of the art measurement instruments.

Course Outcomes:

1. An ability to apply knowledge of electronic instrumentation for measurement of electrical

quantities. 2. Ability to select and use latest hardware for measurements and instrumentation.

3. An ability to design and conduct experiments for measurement and ability to analyze and

interprets data. 4. An ability to analyze and interpret data.

Course Contents

Unit – I

Introduction to Basic: Introduction of Measurement, Precision & accuracy, Characteristics of

Instruments, Measurement of frequency, phase, time – interval, impedance, power measurement, energy measurement and measurement of distortion. Errors in Measurement, Classification of Errors, Remedy to

Eliminate/Reduce Errors. Instruments for measurement of voltage, current & other circuit parameters, Q-

meters, R.F. power measurements, introduction to Analog and digital meters. Block diagram of pulse generators, signal generators, function generators wave analysers, distortion analysers, spectrum analyser,

Harmonic analyser, introduction to power analyser.

Unit – II


Course Credits: 3.5








marks.








GENERATION & ANALYSIS OF WAVEFORMS: Block diagram of pulse generators, signal

generators, function generators wave analysers, distortion analysers, spectrum analyser, Harmonic analyser, introduction to power analyser. Block Diagram based Study of CRO, Specifications, Controls,

Sweep Modes, Role of Delay Line, Single and Dual-Beam Dual-Trace CROs, Chop and Alternate Modes.

Measurement using Oscilloscope-Measurement of Voltage, Frequency, Rise Time, Fall Time and Phase

Difference, Lissajous Figures in Detection of Frequency and Phase, Digital Storage Oscilloscope (DSO),Features like Roll, Refresh, Storage Mode and Sampling Rate, Applications of DSO.

Unit – III

Basics of Transducers/Sensors : Characteristics of Transducers, Requirement of Transducers, Classification of transducers, Selection Criteria of Transducers, Transducers of types: RLC, photocell,

thermocouples etc. basic schemes of measurement of displacement, velocity, acceleration, strain,

pressure, liquid level & temperature. Digital Transducers, Digital displacement transducers, Digital tachometers.

Unit – IV

Data Acquisition and advances in Instrumentation Systems: Analog and Digital Data

AcquisitionSystems, Multiplexing, Spatial Encoders, Telemetry. Components of Analog and Digital Data

Acquisition System, Types of Multiplexing Systems, Uses of Data Acquisition System, Use of recorders in Digital systems, Modern Digital Data Acquisition System.

TEXT BOOK:

1. A course in Electrical & Electronics Measurements & Instrumentation : A.K.Sawhney; Dhanpat Rai & Sons.

2. Electronics Instrumentation & Measurement Techniques : Cooper; PHI

REFERENCE BOOKS:

1. Helfrick & Copper : Modern Electronic Instrumentation & Measuring Techniques – PHI

2. W.D. Cooper : Electronic Instrumentation And Measuring Techniques – PHI

3. E.O.doebilin: Measurement Systems

4. H.S.Kalsi:Electronic Instrumentation-TMH,2ndEdition.

ANALOG COMMUNICATION



Course Credits: 3.5






through percentage of lectures attended (4 marks) Assignments (4

marks) and class performance (2 marks), and end semester



the examiner. Question number one will be compulsory and based on the entire syllabus. It will contain seven short answers type





Pre-requisites: Basic Electronics, Signal & Systems

Course Objectives:

1. To make the students familiar with the elements of electrical communication and

modulation techniques.

2. To explain the concept, waveforms, modulators and demodulators of various analog and

pulse communication systems.

3. To explain the concept and features of radio transmitters and receivers.

4. To familiarize with the effects of noise in analog and pulse modulation techniques.

Course Outcomes:

1. Understand the important elements of electrical communicationsystems.

2. Develop the understanding of analog as well as pulse modulation and demodulation.

3. Develop the understanding of noise and its effects in communication systems.

4. Become capable of understanding and performing lab experiments related to analog

communication.

Course Contents

UNIT-I

Introduction to Communication Systems

Terminologies in Communication Systems, Electromagnetic spectrum and typical

application, concept of electrical communication, modes and media’s of Communication,

Elements of analog Communication system, Need for modulation.

Amplitude Modulation Theory of AM: mathematical expression, waveforms, spectrum, modulation index, power

relations, types of AM; Generation of AM: Square law modulation, Switching modulator, Transistor modulator, Balanced modulator; SSB Generation: Filter method, Phase shift

method, Third Method; Quadrature Amplitude Modulation.

UNIT-II

Angle Modulation

Theory of Angle Modulation (FM, PM): mathematical expression, waveforms, spectrum,

modulation index; Relationship between FM and PM; Frequency spectrum of FM wave,

Narrowband and Wideband FM, Noise and FM, Pre-emphasis and De-emphasis, Comparison

between AM and FM; Generation of FM: Direct Methods – Reactance Modulator, Varactor diode modulator, Stabilized Reactance Modulator; Indirect method – Armstrong FM system

Radio Transmitters and Receivers Radio Transmitters: AM, SSB, FM; Receiver Types: TRF, Superheterodyne; AM Receivers:

RF section, Frequency changing and tracking, Intermediate frequencies, Image Frequency; FM Receivers: Common circuits, Amplitude Limiting; AM Demodulators: Envelope

Detector, SSB reception with Pilot Carrier; FM Demodulators: Slope detector, Balanced Slope Detector, Foster-Seeley Discriminator, Ratio Detector, PLL demodulator.

UNIT-III

Pulse Modulation

Sampling theory: Sampling theorem for low pass and bandpass signals, Time division (TDM)

and Frequency division (FDM) multiplexing, Pulse Amplitude Modulation (PAM) and Pulse

Time modulation: Concept, Modulation and Demodulation,Elements of Pulse Code

Modulation, Quantization Error, Companding, Differential Pulse Code Modulation (DPCM).

Delta modulation (DM), Adaptive Delta Modulation.

UNIT-IV

Noise and its Effects

Types of Noise, SNR, Noise Figure and its calculations, Mathematical representation of noise, AM reception performance under noise, FM reception performance under noise, Noise

in PCM and Delta Modulation Systems.

Text and Reference Books:

1. George Kennedy, Bernard Davis&SRM Prasanna, “Electronic Communication

Systems”, 5th

Edition, McGraw Hill.

2. H.Taub, D.L. Schilling & G. Saha, “Principles of Communication Systems”,

4thEdition, McGraw Hill.

3. R.P. Singh, S.D. Sapre,"Communication Systems: Analog and Digital", 3rd

Edition,

McGraw Hill.

4. V. Chandra Sekar, Communication Systems, Oxford University Press.

5. Simon Haykin, “Communication Systems”, 4thEdition, Wiley.

ANALOG ELECTRONICS - II



Course Credits: 3.5






of lectures attended (4 marks) Assignments (4 marks) and class




entire syllabus. It will contain seven short answers type questions. Rest of the eight questions is to be given by setting two questions from each of




Pre-requisites: Basics of Electronics Engineering, Analog Electronics I

Course Objectives:

1. To provide explanation about the operation of all the important electronic devices.

2. To explain different types of feedback circuits and their applications.

3. To introduce the students with the special semiconductor devices.

4. To introduce students to multistage & power amplifier characteristics & applications.

Course Outcomes:

1. Develop the feedback circuits and their usage in electronics.

2. Becomes capable of using special semiconductor devices for electronic applications.

3. To develop circuits using multistage & power amplifiers for various applications.

4. To develop understanding for oscillator characteristics & their applications.

Course Contents

UNIT1

Single Stage Amplifier : distortions in amplifier, General frequency consideration, frequency response of an

amplifier (low and high frequency response), ac analysis of a small signal low frequency common emitter

transistor amplifier, RC coupled amplifier, low frequency response of an RC coupled stage, effect of emitter

bypass capacitor on low frequency response, emitter follower.

Multi Stage Amplifier: Different coupling schemes used in amplifiers, general analysis of a cascade

amplifier (Voltage gain, current gain, power gain, frequency effects), direct coupled amplifier, darlington

amplifier, cascode amplifier, current mirror circuit .

UNIT 2

Feedback Amplifiers: Classification of amplifiers, Feedback concept, transfer gain with feedback, general

characteristics of negative feedback amplifiers, effect of negative feedback on input and output resistance,

voltage series feedback, current series feedback, current shunt feedback, voltage shunt feedback.

Oscillators: Sinusoidal oscillators, Barkhausen’s criteria, R-C phase shift oscillator, resonant circuit

oscillator, general form of oscillator circuit, Hartley and Colpitt’s oscillator, Wien-Bridge oscillator, Crystal

oscillator.

UNIT 3

Power Amplifiers: Class A, B, and C operations; Class A large signal amplifiers, Second and higher order

harmonic distortion, efficiency, transformer coupled power amplifier, Class B amplifier : efficiency &

distortion; class A and class B push-pull amplifiers; class AB and C power amplifier, cross over distortions.

UNIT 4

Special Semiconductor devices: Gunn diodes, Schottky diodes, power diodes, p-i-n diode, point contact diode, photoconductive cell, IR emitters, LCD.

PNPN devices: Thyristor, SCR, SCS, light activated SCR, DIAC, TRIAC, GTO, UJT.

Text Book and Reference Books:

1) Electronics devices and circuits( 4e): Millman, Halkias and Jit ; McGrawHill

2) Electronics Devices & Circuits: Boylestad & Nashelsky ; Pearson

3) Electronic circuit analysis and design (Second edition): D.A.Neamen; TMH

4) Electronics Circuits: Donald L. Schilling & Charles Belove ; McGrawHill

5) Electronic devices and circuits (3e): S Salivahanan, N Suresh Kumar

ELECTROMAGNETIC THEORY


Pre-requisites: Physics, Basics of Electronics Engineering

Course Objectives:

1. To gain knowledge in the field of electromagnetic waves.

2. To acquire the knowledge of Maxwell’s equations and their time varying behavior.

3. To provide the students with a solid foundation in engineering fundamentals required to

solve problems and also to pursue higher studies.

4. To acquire the knowledge of Electromagnetic field theory that allows the student to have

a solid theoretical foundation to be able in the future to design emission, propagation and

reception of electromagnetic wave systems.

Course outcomes:

1. Ability to Solve Electromagnetic Relation using Maxwell Formulae.

2. Gain a comprehensive knowledge on basic concepts of static & time varying Electric and

Magnetic fields.

3. Ability to Design circuits using Conductors and Dielectrics.

4. Ability to analyze moving charges on Magnetic fields.

Course Contents

UNIT-I

STATIC ELECTRIC FIELDS: Coulomb’s Law, Gauss’s Law, potential function, field due to

a continuous distribution of charge, equi-potential surfaces, Gauss’s Theorem, Poison’s equation,

Laplace’s equation, method of electrical images, capacitance, electro-static energy, boundary


Course Credits: 3.5






of lectures attended (4 marks), Assignments (4 marks) and class




entire syllabus. It will contain seven short answers type questions. Rest of


the four units of the syllabus. A candidate is required to attempt any other

four questions selecting one from each of the remaining four units. All


conditions, the electro-static uniqueness theorem for field of a charge distribution, Dirac-Delta

representation for a point charge and an infinitesimal dipole.

UNIT-II

STEADY MAGNETIC FIELDS : Faraday Induction law, Ampere’s Work law in the

differential vector form, Ampere's law for a current element, magnetic field due to volume

distribution of current and the Dirac-delta function, Ampere’s Force Law, magnetic vector

potential, vector potential (Alternative derivation), far field of a current distribution, equation of

continuity.

UNIT-III

TIME VARYING FIELDS : Equation of continuity for time varying fields, inconsistency of

Ampere’s law, Maxwell’s field equations and their interpretation, solution for free space

conditions, electromagnetic waves in a homogeneous medium, propagation of uniform plane-

wave, relation between E & H in a uniform plane-wave, wave equations for conducting medium,

Maxwell’s equations using phasor notation, wave propagation in a conducting medium,

conductors, dielectrics, depth of penetration, polarization, linear, circular and elliptical.

UNIT-IV

REFLECTION AND REFRACTION OF E M WAVES: Reflection and refraction of plane

waves at the surface of a perfect conductor & perfect dielectric (both normal incidence as well as

oblique incidence), Brewester's angle and total internal reflection, reflection at the surfaces of a

conductive medium, surface impedance, poynting theorem, interpretation of E x H, power loss in

a plane conductor.

TRASMISSION LINE THEORY: Transmission line as a distributed circuit, transmission line

equation, travelling ,standing waves , characteristic impedance, input impedance of terminated

line, reflection coefficient, VSWR, Smith's chart and its applications.

TEXT BOOKS :

1. Electro-magnetic Waves and Radiating System : Jordan & Balmain, PHI.

2. Anteena & Wave Propagation: K.D. Prasad, Satya Prakashan.

3. Field and Wave Electromagnetics: David K. Cheng, Pearson, Second Edition.

REFRENCE BOOKS:

1. Engineering Electromagnetics : Hayt; TMH.

2. Engineering Electromagnetics: Umran S. Inan & Aziz S. Inan, Pearson.

3. Electro-Magnetics : Krauss J.DF; Mc Graw Hill.

CONTROL SYSTEM ENGINEERING



Course Credits: 3.5





tests each of 20 marks, Class Performance measured through

percentage of lectures attended (4 marks) Assignments (4 marks) and


marks.






other four questions selecting one from each of the remaining four


Pre-requisites: Signals and Systems; Differential equations; Laplace transforms; basic Electrical

circuits. Course Objectives & Outcomes:

The main objectives of this course are:

1. Students will apply the knowledge gained in basic mathematics, physical sciences and

engineering courses to derive mathematical models of typical engineering processes.

2. To provide an introduction to various types of systems and their feedback control

functions.

3. To give an introduction to the analysis of linear control systems.

4. To give an introduction to the frequency response domain tools to design and study

linear control systems.

By the end of the course a student is expected to:

1. Acquire a working knowledge of system science-related mathematics.

2. Students will be able to recognize and analyze feedback control mechanisms.

3. Identify, formulate and solve control engineering problems.

4. Students can describe various time domain and frequency domain tools used for analysis

and design of linear control systems.

5. Students can describe the methods to analyze the stability of systems with use of transfer

functions.

Course Contents

UNIT I

INPUT / OUTPUT RELATIONSHIP:

System / Plant model, illustrative examples of plants & their inputs and outputs, open loop &

closed loop control system & their illustrative examples, Mathematical modeling and

representation of physical systems, Concept of transfer function, relationship between transfer

function and impulse response, order of a system, block diagram algebra, signal flow graphs:

Mason’s gain formula & its application, characteristic equation, derivation of transfer functions

of electrical and electromechanical systems.

UNIT II

TIME DOMAIN ANALYSIS:

Typical test signals, time response of first order systems to various standard inputs, time

response of 2nd order system to step input, time domain specifications, steady state error and

error constants, concept of stability, pole-zero configuration and stability, necessary and

sufficient conditions for stability, Hurwitz stability criterion, Routh stability criterion and relative

stability. Root locus concept, development of root loci for various systems, stability

considerations.

UNIT III

FREQUENCY DOMAIN ANALYSIS:

Relationship between frequency response and time-response for 2nd order system, polar,

Nyquist, Bode plots, stability, Gain-margin and Phase Margin, relative stability, frequency

response specifications.

UNIT IV

COMPENSATION:

Necessity of compensation, compensation networks, application of lag and lead compensation,

basic modes of feedback control, proportional, integral and derivative controllers.

CONTROL COMPONENTS:

Synchros, servomotors, stepper motors, magnetic amplifier.

TEXT BOOK:

1. Control System Engineering: I.J. Nagrath & M. Gopal; New Age Publishers.

REFERENCE BOOKS:

1. Automatic Control Systems: B.C. Kuo, PHI. Publishers.

2. Modern Control Engg: K. Ogata; PHI. Publishers.

3. Control Systems - Principles & Design: Madan Gopal; Tata Mc Graw Hill. Publishers.

4. Modern Control Engineering, R.C. Dorf & Bishop; Addison-Wesley Publishers.

ENVIRONMENTAL STUDIES

Course Code: EVS-201-L

Course Credits: 3.0

Mode: Lecture (L) and Tutorial (T)

Type: Compulsory

Contact Hours: 3 hours (L) + 0 hour

(T) per week.


Course Assessment Methods (Internal: 30; External: 70) Two

minor test each of 20marks, class performance measured through

percentage of lecture attended (4 marks), assignments, quiz etc. (6

marks) and end semester examination of 70 marks.



on the entire syllabus; it will contain seven short answer type




each of the four units. All questions carry equal marks.

Prerequisite: Student should have prior knowledge of basic environment science.

Objectives:

To enhance knowledge skills and attitude to environment.

To understand natural environment and its relationship with human activities.

Course outcomes: CO-1 Students will be able to enhance and analyze human impacts on the environment.

CO-2 Integrate concepts & methods from multiple discipline and apply to environmental problems.

CO-3 Design and evaluate strategic terminologies and methods for subs table management of

environmental systems.

CO-4 Field studies would provide students first-hand knowledge on various local environment aspects

which forms an irreplaceable tool in the entire learning process.

Unit-I Definition, scope and importance, need for public awareness, Concept of ecosystems, Structure and function of an ecosystem, Producers, consumers and decomposers, Energy flow in the ecosystem, Ecological succession ,Food chains, Food webs and ecological pyramids, Introduction, types, characteristics features, structure and function of the following ecosystems: Forest ecosystem, Grassland ecosystem , Desert ecosystem, Aquatic ecosystem (Ponds, Stream, lakes, rivers, oceans, estuaries), Study of simple ecosystems – ponds, river, hill slopes etc. , Visit to a local area to document environmental assets- river/forest/grassland/hill/mountain. Unit-II

Renewable and non-renewable resources, Natural resources and associated problems, Forest resources: Use and over-exploitation, deforestation, case studies, Timber extraction, mining, dams and their effects on forests and tribal people, Water resources: Use and over utilization of surface and ground water, floods, droughts conflicts over water, dams benefits and problems, Mineral resources: Use and exploitation, environmental effects of extracting and mineral resources, Food resources: World food problem, changes caused by agriculture and overgrazing, effects of modern agriculture, fertilizer-pesticide problems, water logging, salinity, Energy resources: Growing energy needs, renewable and non-

renewable energy sources, use of alternate energy sources, case studies, Land resources: Land as a resource, land degradation, main induced landslides, soil erosion and desertification,Role of an individual in conservation of natural resources, Equitable use of resources for suitable lifestyle. Introduction-Definition: genetic, species and ecosystem diversity, Bio geographical classification of India, Value of biodiversity: consumptive use, productive use, social ethical, aesthetic and option values, Biodiversity at global, national and local level, India as a mega-diversity nation,Hot-spot of biodiversity, Threats to biodiversity: habitat loss, poaching of wildlife, man-wildlife conflicts, Endangered and endemic species of India, Study of common plants, insects, birds.

Unit-III Definition of Environment Pollution, Causes, effects and control measures of: Air Pollution, Water Pollution, Soil pollution, Marine pollution, Noise pollution, Thermal pollution, Nuclear hazards, Solid waste Management:, effects and control measures of urban and industrial wastes, Role of and individual in prevention of pollution, Pollution case studies, Disaster management: floods, earthquake, cyclone and landslides, Visit to a local polluted site- Urban/Rural/Industrial/Agricultural. Unit-IV From unsustainable of Sustainable development, Urban problems related to energy, Water conservation,

rain water harvesting, watershed management, Resettlement and rehabilitation of people; its problem and

concern, Environment ethics: Issues and possible solutions, Climate change, global warming, acid rain,

ozone layer depletion, nuclear accidents and holocaust, Case studies, Wasteland reclamation,

Consumerism and waste products, Environment Protection Act, Air (Prevention and Control of Pollution)

Act, Water (Prevention and Control of Pollution) Act, Wildlife Protection Act, Forest Conservation Act.,

Issues involved in enforcement of environmental legislation, Public awareness, Population growth,

variation among nation, Population explosion- Family Welfare Programme, Environment and human

health , Human Rights, Value Education, HIV/AIDS, Women and Child Welfare, Role of Information

Technology in Environment and human health, Case Studies.

REFERENCE BOOKS:

1. Dr. Erach Bharucha , “Environmental Studies for Undergraduate Courses”, University press

pvt. Ltd. (India)

2. Anil Kumar De, “Environmental Chemistry”, Wiley Eastern Limited.

3. Anubha Kaushik, C.P. Kaushik , “Perspectives in Environmental Studies”,ISBN: 978-93-

86418-63.

4. Miller TG, “Environmental Science”, Wadsworth Publishing Co, 13th edition.

ELECTRONIC MEASUREMENTS & INSTRUMENTATION LAB




Mode: Lab Work

Course Assessment


Course Objectives:

1. To gain the knowledge of measurement methods and instruments of electrical quantities.

2. To aware the students about the advances in Instrumentation.

3. To provide knowledge of various instruments and their testing capabilities.

4. To understand principle of operation & working of different measuring devices.

Course Outcomes:

1. Ability to apply the principles and practices for instrument design and development to

real world problems.

2. Gain knowledge on data acquisition and conversion.

3. Develop skills to analyze sensors & advance instruments.

4. Able to know about Industrial based automation.

LIST OF EXPERIMENTS

1. To study the front panel controls of storage CRO.

2. To analyze analog and digital multi meter for various measurements.

3. Measurement of displacement using LVDT.

4. Measurement of distance using LDR.

5. Measurement of temperature using R.T.D.

6. Measurement of temperature using Thermocouple.

7. Measurement of pressure using Strain Gauge.

8. Measurement of pressure using Piezo-Electric Pick up.

9. Measurement of distance using Capacitive Pick up.

10. Measurement of distance using Inductive Pick up.

11. Measurement of speed of DC Motor using Magnetic Pick up.

12. Measurement of speed of DC Motor using Photo Electric Pick up.

NOTE: At least eight experiments are to be performed in the semester, out of which atleast six



the syllabus.

ANALOG COMMUNICATION LAB




Mode: Lab Work

Course Assessment


Course Objectives:

1. To provide hand-on experience to the students on the basic measuring instruments.

2. To provide hand-on experience to the students on the practical trainer boards/kits.

3. To provide students an opportunity to understand the practical concept of analog and

pulse modulation techniques.

4. To familiarize students with the simulation of analog communication systems using

MATLAB or other related software tool.

Course Outcomes:

1. The students will have practical understanding of the modulation and demodulation

process in analog communication system.

2. The students will have an exposure to software tools for simulation of analog

communication system.

3. The students will be in a position to develop simple analog communication systems.

4. The students should be able to simulate a communication system on software platform

as well.

LIST OF EXPERIMENTS

1. Familiarization with the control panel and various measurements using CRO & Function

Generator.

2. Study of Amplitude Modulation & Demodulation and determination of Modulation index.

3. Study of Frequency Modulation and Demodulation.

4. Study of Pulse Amplitude Modulation and Demodulation.

5. Study of Pulse Width Modulation and Demodulation.

6. Study of Pulse Code Modulation.

7. Simulation Study of AM using Software Tool.

8. Simulation Study of FM using Software Tool.

9. Simulation Study of PAM using Software Tool.

10. Simulation Study of PWM using Software Tool.

11. Simulation Study of PCM using Software Tool.

12. Simple Project (AM receiver / FM receiver / topic related to the scope of the course).

NOTE: At least eight experiments are to be performed in the semester, out of which at least


performed from the above list or designed & set by the concerned institution as per the scope

of the syllabus.

ANALOG ELECTRONICS - II LAB




Mode: Lab Work

Course Assessment


Course objectives:

1. To explain the effect of feedback in various electronic circuits.

2. To familiarize with the characteristics of different semiconductor devices.

3. To make familiar with the design of various oscillator circuits.

4. To make familiar with working of single stage, multi-stage & power amplifiers.

Course outcomes:

1. To verify the working of transistor and their applications.

2. Become familiar with the operation and characteristics of semiconductor devices.

3. To verify the working of multistage and power amplifiers.

4. To verify the working of FET and circuit design.

LIST OF EXPERIMENTS

1. To study the effect of BJT voltage series feedback amplifier and determine the gain, frequency

response, input and output impedance with and without feedback.

2. To study the effect of FET voltage series feedback amplifier and determine the gain, frequency

response, input and output impedance with and without feedback.

3. To design and study the frequency response of two stage RC coupled amplifier and determine the

effect of cascading on gain and bandwidth.

4. To design a BJT darlington emitter follower and determine the gain.

5. To plot the characteristics of UJT.

6. To plot the characteristics of DIAC and TRIAC

7. To study the RC phase shift oscillator circuit.

8. To study the Wein bridge oscillator circuit.

9. To study the Hartley and Colpitt’s oscillator circuit.

10. To plot the characteristics of SCR.

11. To study and draw the characteristics of FET in common drain configuration.

12. To study and draw the characteristics of FET in common source configuration.

NOTE: At least eight experiments are to be performed in the semester, out of which at least



of the syllabus.

CONTROL SYSTEM ENGINEERING LAB




Mode: Lab Work

Course Assessment


COURSE OBJECTIVES: 1. To provide a platform for verifying the theoretical aspects of Control systems and feedbacks.

2. To introduce students to MATLAB simulink for control system designing.

3. To aid the students in developing various control structures and analyzing them for improving their performances.

4. To investigate the Servo-Motor speed and position control principles by designing and selecting

P, I and PI gains for specific response.

COURSE OUTCOMES: 1. The students will be able to design various control systems using MATLAB simulink. 2. The students will be able to analyze steady state analysis of control systems.

3. The student can generate new control system scenarios and can evaluate their performances.

4. The students will be able to do various engineering projects.

LIST OF EXPERIMENTS

1. To study A.C. servo motor and to plot its torque-speed characteristics.

2. To study D.C. servo motor and to plot its torque speed characteristics.

3. To study the magnetic amplifier and to plot its load current v/s control current characteristics for: (a) series connected mode

(b) parallel connected mode.

4. To plot the load current v/s control current characteristics for self exited mode of the magnetic amplifier.

5. To study the synchro & to:

(a) Use the synchro pair (synchro transmitter & control transformer) as an error detector.

(b) Plot stator voltage v/s rotor angle for synchro transmitter i.e. to use the synchro transmitter as position transducer.

6. To use the synchro pair (synchro transmitter & synchro motor) as a torque transmitter.

7. (a) To demonstrate simple motor-driven closed-loop position control system. (b) To study and demonstrate simple closed-loop speed control system.

8. To study the lead, lag, lead-lag compensators and to draw their magnitude and phase plots.

9. To study a stepper motor & to execute microprocessor or computer-based control of the same by changing number of steps, direction of rotation & speed.

10. To implement a PID controller for level control of a pilot plant.

11. To implement a PID controller for temperature control of a pilot plant.

12. To study the MATLAB package for simulation of control system design.

NOTE: At least eight experiments are to be performed in the semester, out of which at least six

experiments should be performed from above list. Remaining experiments may either be performed from

the above list or designed & set by the concerned institution as per the scope of the syllabus.

SKILLS AND INNOVATION LAB

Course Code: ECE-214-P

Course Credits: 0.0

Mode: Practical

Contact Hours: 03 hours per week


Course Assessment Methods (internal: 30;

external: 70): This is a non-credit course of

qualifying nature.

Internal practical evaluation is to be done by the

course coordinator. The end semester practical

examination will be conducted jointly by external

and internal examiners.

Prerequisite: Basic knowledge of Physics & Digital Electronics.

Objectives:

1. Understand and identify research topics related to Electronics Engineering through brain

storming sessions.

2. Propose a novel idea/modified technique/new interpretation after identifying the existing

research work.

3. Devise specific identified issue/problem in the form of research objectives.

4. Work in a group and communicate effectively the research topic though presentation

and/or brain storming.

Course outcomes:

1. Understand the research analysis of issues/problems on topics related to Electronics

Engineering.

2. Understand the techniques and tools used for research analysis.

3. Understand literature related to a research topic.

4. Communicate effectively the research topic though presentation and/or brainstorming.

Lab Contents

A group of students are required to carry out a study related to current development and

emerging trends in the field of Electrical Engineering. Each group of students will also try to

improve their basic skills in their respective field. The students may use the

equipment’s/machines/instruments available in the labs/workshops with the due permission of

Chairperson/Director on recommendation of the Course Coordinator.

The students in consultation with the course coordinator will decide the topic of the study. The

study report will be submitted by group at the end of semester and will be evaluated by Course

Coordinator.

DIGITAL COMMUNICATION



Course Credits: 3.5




Course Assessment Methods (internal: 30; external:

70) Two minor tests each of 20 marks, Class Performance

measured through percentage of lectures attended (4

marks), Assignments (4 marks), and class performance (2

marks), and end semester examination of 70 marks.

For the end semester examination, nine questions are to be

set by the examiner. Question number one will be

compulsory and based on the entire syllabus. It will

contain seven short answers type questions. Rest of the

eight questions is to be given by setting two questions

from each of the four units of the syllabus. A candidate is

required to attempt any other four questions selecting one

from each of the remaining four units. All questions carry

equal marks.

Pre-requisites: Basic Electronics, Signal & Systems, Analog Communication

Course Objectives & Outcomes:


1. To understand the building blocks of digital communication system and analyze the analog-to-

digital conversion process with emphasis on Nyquist Sampling Criteria, line coding, pulse

shaping and optimum detection functions.

2. To get familiar with digital modulation techniques and its importance.

3. To gain knowledge regarding systems involving random signals using mathematical analysis and

computer simulation.

4. To develop understanding of optimum receivers for digital modulation techniques and analyze

the error performance of digital modulation techniques.


1. Design basic digital communication systems to solve a given communication problem.

2. Describe and compare performance of different digital modulation schemes.

3. Learn the theory of probability, random variables, and stochastic processes.

4. Be able to calculate different parameters like power spectrum density, probability of error etc. in

digital communication systems.

Course Contents

Unit- I

Introduction and Principles of Digital Data Transmission: Analog versus Digital

Communication, Building blocks of digital communication system.

Line Coding: PSD of various line codes, DC Null, On-Off Signaling, Polar Signaling and

Bipolar Signaling.

Pulse shaping: ISI and its effect, Nyquist’s criteria, Pulse relationship between zero-ISI,

Duobinary and modified Duobinary, Detection of Duobinary signaling and differential

encoding, Pulse generation.

Digital receivers and regenerative repeaters: Equalizers, Timing Extraction and detection

Error.

Scrambling and Eye diagram.

Unit - II

Digital Modulation and Transmission:

General description of ASK, FSK and PSK.

Transmission, Reception and Signal space representation: BPSK, DPSK, QPSK, M-ary PSK,

ASK, QASK, BFSK, M-ary FSK, MSK.

Power spectra of digitally modulated signals, Performance comparison of different digital

modulation schemes.

Unit - III

Random Signal Theory

Concept of probability, Representation of random signals, concept of random variables,

Cumulative Distribution Function, Probability Density Function, Joint probability density

functions, Statistical average and moments, Useful probability density functions, Central

limit theorem, Random Process and its types, Correlation functions, Power Spectral Density,

Response of linear system to random signals.

Unit - IV

Optimal Reception of Digital Signal

Baseband signal receiver, Probability of error, Optimal Receiver design: Optimum filter,

matched filter, Probability of error of matched filter, Optimum filter realization using

Correlator,Optimal Reception of PSK,FSK,QPSK,DPSK signal and their probability of error

calculation, MAP and ML decoding

Text Books:

1. B.P.Lathi and Zhi Ding, “Modern Digital and Analog Communication

Systems”,Oxford University Press – 4th Edition.

2. Taub Schilling, “Principles of Communication Systems”, TMH, 4th

Edition.

3. Simon Haykin, “Communication Systems” John Wiley & Sons, Inc., 4th

Edition.

Reference Books:

1. Couch: Digital and AnalogComunication Systems, 6th

Edition, Pearson Education.

2. Bernard Sklar: Digital Communication, 2nd

Edition, Pearson Education.

3. Digital Communications by John G.Proakis; McGraw Hill.

VLSI Design



Course Credits: 3.5

Contact Hours: 4.0 hours/week,

(L-T-P: 3-1-0)





percentage of lectures attended (4 marks) Assignment and quiz (6



examiner. Question number one will be compulsory and based on

the entire syllabus. It will contain seven short answers type


questions from each of the four units of the syllabus. A candidate is

required to attempt any other four questions selecting one from each

of the remaining four units. All questions carry equal marks.

PRE-REQUISITES: Analog Electronics and Digital Electronics

COURSE OBJECTIVES:

1. To be aware about the trends in semiconductor technology, and how it impacts scaling and its effect on

device density, speed and power consumption.

2. To understand the steps involved in IC fabrication.

3. To teach fundamentals of VLSI circuit design and implementation using logic circuits.

4. To understand VLSI circuit design processes representations of stick diagram &layout diagram.

COURSE OUTCOMES:

1. Demonstrate a clear understanding of CMOS fabrication flow and technology scaling.

2. Design MOSFET based logic circuits.

3. Calculate electrical properties of MOS circuits.

4. Realize logic circuits with different design styles.

UNIT-1

REVIEW OF MOS TECHNOLOGY: Introduction to IC technology, MOS Transistor enhancement mode and depletion mode operations, fabrication of

NMOS, CMOS and BiCMOS devices. Equivalent circuit for MOSFET and CMOS.

VLSI FABRICATION:

Crystal growth, oxidation, diffusion, ion implantation, epitaxy, photo-lithography, etching, dielectric and polysilicon

film deposition, metalization.

UNIT-II

MOS TRANSISTOR THEORY:

MOS device design equations, Evaluation aspects of MOS transistor, threshold voltage, MOS transistor trans

conductance & output conductance, figure of merit, Channel Length Modulation, Body Effect

MOS INVERTER:

Introduction, nMOS inverter: resisive load, enhancement load, depletion load, determination of pull-up to pull-down

ratio for an nMOS inverter driven by another nMOS inverter & by one or more pass transistor, CMOS inverter: DC

characteristics, circuit model, Bi-CMOS logic, latch up in CMOS circuitry and BiCMOS , Latch up susceptibility.

UNIT –III

CMOS DESIGN: Gate Logic: inverter, nand gate, nor gate. Ratioed logic, pseudo NMOS logic, DCVSL Logic, Switch Logic: pass

transistor and transmission gate, dynamic logic, charge sharing logic, domino logic. Combination logic: Parity

generator, multiplexer. Sequential logic: two phase clocking, memory-latches and registers, setup and hold time

violations, causes ,effects and remedies.

CIRCUIT CHARACTERIZATION AND PERFORMANCE ESTIMATION:

Sheet resistance, resistance estimation, capacitance estimation, inductance estimation, switching characteristic,

propagation delays, CMOS gate transistor sizing, power dissipation: static and dynamics.

UNIT-IV

SCALING OF MOS CIRCUITS:

Scaling models and scaling factors for device parameters, limitations of scaling: substrate doping, limits of

miniaturization, limit of interconnect and contact resistance.

MOS circuit Design Process:

MOS layer, stick diagram: nMOS Design style, pMOS Design style, CMOS design style, design rules and layout:

lambda based design rule, layer representation, contact cuts, double metal MOS process rules, CMOS lambda based

design rules.

DESIGN EXAMPLE USING CMOS :

Incrementer / decrementer, left/right shift serial/parallel register, comparator for two n-bit number, a two phase non-

overlapping clock generator with buffered output on both phases, design of an event driven element for EDL system.

TEXT BOOKS :

1. Introduction to Digital Integrated Circuits : Rabaey,Chandrakasan & Nikolic.

2. Principles of CMOS VLSI Design : Neil H.E. Weste and Kamran Eshraghian; Pearson.

REFERENCE BOOKS :

1. Introduction to Digital Circuits : Rabaey LPE (PHI)

2. VLSI Fabrication: S.K.Gandhi.

3. VLSI Technology: S.M. Sze; McGraw-Hill.

4. Integrated Circuits: K.R. Botkar; Khanna

MICROWAVE AND RADAR ENGINEERING



Course Credits: 3.5

Contact Hours: 4.0 hours/week

(L-T-P: 3-1-0)





through percentage of lectures attended (4 marks) Assignment

and quiz (6 marks), and end semester examination of 70 marks.








Pre-requisites: Electromagnetic Theory and Antenna and wave propagation

Course Objectives: 1. To understand the theoretical concepts underlying microwave devices.

2. To design microwave components such as power dividers, hybrid junctions,

microwave detectors, ferrite devices.

3. To understand how radar is used to detect the position of a target.

4. To understand how to measure microwave power, impedance, frequency etc. of a

microwave signal.

Course Outcomes:

1. To understand various microwave components.

2. Ability how to generate microwave frequency signals and how it is measured.

3. Ability to understand the working principle of radar system.

4. Ability to understand microwave diodes and tubes.

UNIT- 1

WAVEGUIDES & MICROWAVE COMPONENTS: Introduction, propagation in TE &

TM mode, rectangular wave guide, TEM mode in rectangular wave guide, characteristic

impedance, introduction to circular waveguides and planar transmission lines, S-parameters,

Scattering matrix and its properties ,Directional couplers, Microwave Tees, Irises, Posts and

Tuning Screws, Attenuators, Cavity Resonators ,Re-entrant Cavities, Mixers & detectors,

Matched Load, Phase Shifter ,Wave Meter, Ferrite devices.

UNIT- 2

MICROWAVE TUBES & MEASUREMENTS: Limitation of conventional tubes;

Construction and Operation Principal of Two Cavity Klystron amplifier, Reflex Klystron,

Magnetron (Cylindrical Magnetron and description of Π mode ), TWT , BWO , Crossed field

amplifiers, Measurement of Power, VSWR, frequency , attenuation , insertion loss

,wavelength and impedance.

UNIT- 3

MICROWAVE SOLID STATE DEVICES: Transferred Electron Devices- GUNN

EFFECT; Negative Differential Resistance Phenomenon, field domain formation , GUNN

diode structure , Varactor diode, Tunnel diode, Schottky diode, , IMPATT,

TRAPATT,BARITT and PIN diodes. MASER, Parametric amplifiers.

UNIT- 4

INTRODUCTION TO RADAR: Block Diagram and operation, Radar Frequencies, Simple

form of Radar Equation, Types of Radar-CW & Pulse Doppler Radar, MTI Radar, Prediction

of Range Performance, Pulse Repetition frequency and Range Ambiguities, Radar Displays,

Target Detection, Scanning and tracking with radar, Radio navigational aids, Applications of

Radar

TEXT BOOKS:

1. Microwave devices and circuits : Samuel Liao; PHI

2. Microwave devices & Radar Engg : M .Kulkarni; Umesh Publications

REFERENCE BOOK :

1. Microwaves and Radar : A.K. Maini; Khanna

2. Microwave Engineering: Annapurna Das, S. K. Das, MCGraw Hill Education

Microprocessors and Interfacing



Course Credits: 3.5







marks) Assignments (4 marks) and class performance (2










equal marks.


The mainobjectives of this course are:

1. To make the students familiar with operation of microprocessors and machine language

programming.

2. To introduce basic concepts of interfacing memory and peripheral devices to a

microprocessor.

3. To make the students familiar with8086 microprocessor programming, Pipelining and

parallel processing.

4. To familiarize with various IC:- 8259 PIC, 8255 PPI,8253 Timer and counter, 8237

DMA Controller


1. Understand the Assembly language programming.

2. Students will get the knowledge of the 8086 microprocessor, Pipelining and parallel

processing.

3. Students will get the knowledge of Memory interfacing with 8085, 8086.

4. To understand concept of multi core processors

Course Contents

UNIT1. THE 8085 PROCESSOR

Introduction to microprocessor, 8085 microprocessor: Architecture, Pin Configuration, CPU

Architecture, Registers, ALU Control Unit, Stack.

Microprocessor Instruction Set (INTEL 8085): Complete instruction set of INTEL 8085,

instruction format, types of instructions, various addressing modes, Timing diagrams (T-

states), machine cycles, instruction cycle

Assembly Language Programming: Programming of Microprocessors using 8085

instructions, use of Arithmetic, logical, Data transfer, stack and I/O instructions in

programming, Interrupt in 8085.

Peripherals and Interfacing for 8085 Microprocessors: Memory interfacing, I/O interfacing – memory mapped and peripheral mapped I/O.The 8085 Interrupts, 8085 vectorinterrupts.

UNIT2. THE 8086 MICROPROCESSOR ARCHITECTURE

Architecture, block diagram of 8086, details of sub-blocks such as EU, BIU; memory

segmentation and physical address computations, program relocation, addressing modes,

instruction formats, pin diagram and description of various signals.

UNIT3. INSTRUCTION SET OF 8086

Instruction execution timing, assembler instruction format, data transfer instructions,

arithmetic instructions, branch instructions, looping instructions, NOP and HLT instructions,

flag manipulation instructions, logical instructions, shift and rotate instructions, directives

and operators, programming examples.

UNIT4. INTERFACING DEVICE:

The 8255 PPI chip: Architecture, control words, modes and examples.

DMA: Introduction to DMA process, 8237 DMA controller.

INTERRUPT AND TIMER: 8259 Programmable interrupt controller, Programmable interval

timer chips.

TEXT BOOKS:

1. Microprocessor Architecture, Programming & Applications with 8085: Ramesh S

Gaonkar; Wiley Eastern Ltd.

2. The Intel Microprocessors 8086- Pentium processor: Brey, PHI.

REFERENCE BOOKS:

1. Microprocessors and interfacing: Hall; TMH

2. The 8088 & 8086 Microprocessors-Programming, interfacing, Hardware&

Applications: Triebel& Singh; PHI

3. Microcomputer systems: the 8086/8088 Family: architecture, Programming &Design:

Yu-Chang Liu & Glenn A Gibson; PHI.

4. Advanced Microprocessors and Interfacing :Badri Ram; TMH

ANTENNA AND WAVE PROPOGATION



Course Credits: 3.5


(L-T-P: 3-1-0)














Pre-requisites: Electromagnetic Theory

Course Objectives:

1. To understand how an antenna will radiate.

2. To study various types of antenna used in the communication system like dipole antenna,Yagi-Uda

antenna, horn antenna, Helix antenna, frequency independent antennas.

3. To understand how radio waves will propagates through the free space.

4. To understand the various designing parameters of an antenna.

Course Outcomes:

1. Ability to understand how an antenna will radiate and various antenna designing parameters.

2. Ability to use an antenna according to their application.

3. Ability to understand the various types of propagation modes used in communication.

4. Ability to understand antenna array.

UNIT- 1

RADIATION OF ELECTROMAGNETIC WAVES: Short Electric Dipoles, Retarded potential,

Radiation from a Small Current Element, field of short dipole, Power Radiated by a Current Element and

Its Radiation Resistance, Linear antenna, half wave dipole, Radiation from a Half Wave Dipole, Antenna

impedance, Effect of ground on antenna pattern, Input impedance, Mutual Impedance.

UNIT- 2

ANTENNA PARAMETERS: Antenna Pattern, Antenna Parameters: Front to Back Ratio, Gain,

Directivity, Radiation Resistance, Radiation Patterns, Radiation Power Density, Radiation Intensity

Efficiency, Aperture Area, Impedance, Effective Length and Beam width, Reciprocity Theorem for

Antenna and Its Applications

UNIT -3

ANTENNA ARRAYS AND TYPES OF ANTENNAS: Types of Antenna Array: Broadside Array, End

Fire Array, Collinear Array and Parasitic Array, Two element array, array of point sources, pattern

multiplication, Linear Array, Phased Array, Tapering of Arrays, Binomials Arrays, Isotropic Antenna

,Yagi-Uda, Microwave antenna, parabolic feeds, conical, helix, log periodic, horn, Microstrip Antenna

and Patch Antenna, Frequency independent concept, RUMSEY’S Principle, Frequency independent

planar log spiral antenna, Frequency independent conical spiral Antenna.

UNIT -4

PROPAGATION: Modes of Propagation, Space wave and Surface Wave, Reflection and refraction of

waves by the ionosphere, Tropospheric Wave propagation, Bending mechanism of waves by ionosphere,

Virtual Height, MUF, Critical frequency, Skip Distance, Duct Propagation, Space wave.

TEXT BOOKS : 1. Antennas by J.D.Kraus, TMH.

2. Antenna & Wave Propagation by K.D Prasad.

REF. BOOKS : 1.Antenna & Radiowave Propogation by Collin,TMH

2.Electromagnetic Waves & Radiating Systems by Jordan & Balman, PHI.

Digital Communication Lab



Contact Hours: 2/week per group (L-T-P: 0-0-2)

Mode: Lab Work

Course Assessment


Course Objectives:

1. To provide hands-on experience to the students on the basic measuring instruments.

2. Understand different forms of digital modulation and demodulation schemes and

implement using hardware kits

3. To familiarize students with the simulation of digital communication systems using

MATLAB or other related software tool.

4. To make a simple project on the digital communication system.

Course Outcomes:

1. The students will have practical understanding of the modulation and demodulation in

digital communication system.

2. Generate digital modulation signals for ASK, BPSK, QPSK and FSK and perform

their detection.

3. The students will be able to simulate digital communication systems on software

platform as well and estimate their BER.

4. The students will be able to make a simple project on the digital communication

system

LIST OF EXPERIMENTS

1. Study of ASK Modulation Technique.

2. Study of FSK Modulation Technique.

3. Study of BPSK Modulation Technique.

4. Study of QPSK Modulation Technique.

5. Simulation study of ASK using software tool.

6. Simulation study of FSK using software tool.

7. Simulation study of BPSK using software tool.

8. Simulation study of QPSK using software tool.

9. Study of Line codes and their spectral analysis.

10. Simple project (Any topic related to the scope of the course)

Note: Atleast eight experiments are to be performed in the semester, out of which atleast six

experiments should be performed from above list. Remaining experiments may either be performed

from the above list or designed and set by concerned institution as per the scope of the syllabus.

MICROWAVE AND RADAR ENGINEERING LAB




Mode: Lab Work

Course Assessment


Pre-requisites: Electromagnetic Theory and Antenna and wave propagation

Course Objectives:

1. To understand the various types of microwave components

2. To understand the practical concepts of generation of microwave signal

3. To measure the various parameters related to microwave components.

4. To understand the radiation pattern of Horn antenna.

Course Outcomes:

1. To understand various microwave components like E, H and Magic Tee.

2. Ability how to generate microwave frequency signals and how it is measured.

3. Ability to generate microwave signal through GUNN Oscillator.

4. To measure VSWR and other parameters in various components.

LIST OF EXPERIMENTS:

1. Study of wave guide components.

2. To study the characteristics of Reflex Klystron and determine its tuning range.

3. To measure frequency of microwave source and demonstrate relationship among guide

dimensions, free space wave length and guide wavelength.

4. To measure VSWR of unknown load and determine its impedance using a smith chart.

5. To match impedance for maximum power transfer using slide screw tuner.

6. To measure VSWR, insertion losses and attenuation of a fixed and variable attenuator.

7. To measure coupling and directivity of direction couplers.

8. Study of Power Division in Magic Tee.

9. To measure insertion loss, isolation of a three port circulator.

10. To measure the Radiation Pattern and Gain of Waveguide Horn Antenna.

11. To study the V-I characteristics of GUNN diode.

NOTE: Ten experiments have to be performed in the semester. At least seven experiments should be

performed from above list. Remaining three experiments may either be performed from the above list or

designed & set by the concerned institution as per the scope of the syllabus microwave & Radar

Engineering.

Microprocessors and Interfacing LAB




Mode: Lab Work

Course Assessment


Course Objectives:

1. To familiarize the students with the development board of8085, 8086 microprocessor.

2. To familiarize the students about the assembly language programming using 8085,

8086 microprocessor.

3. To write and verify various assembly language programson microprocessor kit.

4. To interface various peripheral module with microprocessor.

Course Outcomes:

1. The students will have practical understanding of the development board of 8085,

8086 microprocessor.

2. The students will be able to write various assembly language programs using

8085, 8086 microprocessor.

3. The students willverify various assembly language programs using 8085, 8086

microprocessor.

4. The students will be able to interface various peripherals to the microprocessor.

LIST OF EXPERIMENTS

1. Study of 8085 Microprocessor kit.

2. Write a program using 8085 and verify for:

a. Addition of two 8-bit numbers.

b. Addition of two 8-bit numbers (with carry).

3. Write a program using 8085 and verify for :

a. 8-bit subtraction (display borrow)

b.16-bit subtraction (display borrow)

4. Write a program using 8085 for multiplication of two 8- bit numbers by repeated

addition method. Check for minimum number of additions and test for typical data.

5. Write a program using 8085 for multiplication of two 8- bit numbers by bit rotation

method and verify.

6. Write a program using 8085 for division of two 8- bit numbers by repeated subtraction

method and test for typical data.

7. Write a program using 8085 for dividing two 8- bit numbers by bit rotation method

and test for typical data.

8. Study of 8086 microprocessor kit.

9. Write a program using 8086 for division of a defined double word (stored in a data

segment) by another double Word division and verify.

10. Write a program using 8086 for finding the square root of a given number and verify.

11. Write a program using 8086 for copying 12 bytes of data from source to destination

and verify.

12. Write a program using 8086 and verify for:

a. Finding the largest number from an array.

b. Finding the smallest number from an array.

13. Write a program using 8086 for arranging an array of numbers in descending order and

verify.

14. Write a program using 8086 for arranging an array of numbers in ascending order and

verify.

15. Write a program for finding square of a number using look-up table and verify.

16. Write a program to interface a two digit number using seven-segment LEDs. Use

8085/8086 microprocessor and 8255 PPI.

17. Write a program to control the operation of stepper motor using 8085/8086

microprocessor and 8255 PPI.

NOTE: Atleast eightexperiments are to be performed in the semester, out of which atleast six



of the syllabus.

Practical Training-I


Course Code: ECE -311-P

Course Credits: 1.0

Type: Compulsory

Contact Hours: 2 hours per

week (L-T-P: 0-0-2)

Mode: Practical

Course Assessment Methods (External: 100)

Assement of Practical Training-I will be based on the presentation/

seminar, viva-voce, report and certificate for the practical training

taken at the end of 4th semester by internal examiner.

Objectives:

To acquaint with industry environment.

To bridge the gap between academia and industry with the practical application of the

theoretical knowledge of the subjects learnt during the course.

To inculcate the leadership as well as team spirit qualities.

Course Outcomes:

1. Exposure to the industry environment.

2. Ability to grasp practical application of the subjects taught during the course

3. Ability to understand the practical tolerances in real time applications

4. Recognize the need for, and have the preparation and ability to engage in independent

and life- long learning in the industry

Computer Networks and Data Communication



Course Credits: 3.5















Pre-requisites: Basics of communication engineering & fundamentals of computers.

Course Objective:

1. To provide students with an overview of the concepts and fundamentals of data

communication and computer networks.

2. To familiarize students with the basic taxonomy and terminology of computer networking

area.

3. To make students aware about the designing and managing of communication protocols.

4. To provide good exposure about the TCP/IP protocol suite and other latest IEEE standards.

Course Outcomes:

After completion of this course students will be able to:

1. Conceptualize all the OSI Layers.

2. Use appropriate network tools to manage network performance.

3. Understand the role of various protocols for network communication.

4. Know the standard security procedures used for Internet.

Unit 1

Introduction to computer networks

Data Communication, Networks, Internet, Network Models, OSI model, TCP/IP model &

protocol suite. Data rate limits, Shannon’s Theorem, Circuit switched Networks, Datagram

Networks, Virtual Circuit Networks. Network Topologies, Types of Networks (LAN, MAN,

WAN, PAN).

Unit 2

Physical layer and channel control

Physical layer encoding (NRZ, Manchester, 4B/5B), Physical layer interfaces (RS232/

EIA232/USB), Medium Access control (Aloha, CSMA/CD, CSMA/CA), Congestion control

algorithm, flow control algorithm, shortest path algorithm.

Unit 3

Addressing & Protocols

Logical addressing, IPv4, IPv6, transition from IPv4 to IPv6, Domain Name System (DNS),

Dynamic Domain name system, DNS in the internet.

Protocols- ICMP, IGMP, ARP, RARP, TCP, UDP, HDLC, SMTP, SNMP, POP, http

Unit 4

Network Security & latest IEEE trends

IEEE standards- 802.3, 802.4, 802.5, 802.11, 802.15, 802.16, 802.20, 802.22.

Network security- model for network security, RSA algorithm, Digital Signature, e-mail

security, Firewalls, VPNs, Proxy servers.

Text Books:

1. Tanenbaum Andrew S., Computer Networks, 4th edition (2nd Impression 2006)

2. Stallings William, Data and Computer Communications, 7th Edition, PHI

Reference Books:

1. Halsall Fred, Data Communications, Computer Networks and OSI, 4th edition

2. Stallings William, Cryptography and Network Security Principles and Practices, Fourth

Edition, PHI

3. Forouzan B.A., Data Communication & Networking, TMH

Linear Integrated Circuits & Applications



Course Credits: 3.5















Pre-requisite: Analog Electronics

Course Objectives:

1. To provide students with an overview of the concepts and fundamentals of linear

integrated circuits.

2. To understand importance of negative feedback in Op-amp

3. To explore Op-amp based applications

4. To design Op-amp based active filters

Course Outcomes:

After completion of this course students will be able to design and analyze:

1. Op-amp configurations

2. Op-amp circuits with negative feedback.

3. Op-amp with desired frequency response (filters).

4. Various linear applications of Op-amp.

Unit -1

Introduction to Operational Amplifiers: Block diagram, Op-Amp equivalent circuit and its

analysis, Types and development of integrated circuits, IC package types, Device Identification,

Power supplies for ICs.

Interpretation of Data Sheets and Characteristics of an Op-Amp: Interpretation of data

sheets, Ideal Op-Amp and its equivalent circuit, Ideal voltage transfer curve, open loop op-amp

configurations.

Unit- 2

An Op-Amp with Negative Feedback: Block diagram representation of feedback

configurations. Voltage series feedback amplifier, Voltage shunt feedback amplifier, differential

amplifiers

The Practical Op-Amp: Input offset voltage, input bias current, input offset current, total output

offset voltage, thermal drift, effect of variation in power supply voltages on offset voltage,

change in input offset voltage and input offset current with time, temperature and supply voltage

sensitive parameters, Noise, Common -Mode configuration and common mode rejection ratio.

Unit- 3

Frequency Response of an Op-Amp: Frequency response of internally compensated and non

compensated Op-Amps, High frequency Op-Amp equivalent circuit, open loop voltage gain as a

function of frequency, closed loop frequency response, circuit stability, slew rate.

General Linear Applications: DC and AC amplifier, Peaking Amplifier, summing, scaling and

averaging amplifiers, Instrumentation amplifier, Differential input and output amplifier. Voltage

to current converter with floating and grounded load, Very high input impedance circuit.

Integrator and differentiator circuit.

Unit -4

Active Filters and Oscillators: First and second order low pass and high pass Butterworth filter.

Band pass and band reject filters. Phase shift and Wien bridge oscillator, square wave generator.

Comparators and Converters: Basic comparator, Schmitt trigger, comparator characteristics

and limitations. voltage limiters, window detector, voltage to frequency and frequency to voltage

converters, A/D and D/A converters, Clippers and clampers, peak detector.

Text Books:

1. Ramakant A. Gayakwad, Op-Amps and linear integrated circuits, 4th edition, Pearson

Reference Books:

1. Bruce Carter and Ron Mancini, Op Amps for Everyone, 5th edition, Elsevier

2. Sergio Franco, Design with operational amplifiers and analog integrated circuits, 3rd

edition, McGraw Hill

Microcontroller and Embedded System Design



Course Credits: 3.5

















equal marks.

Pre-requisites: Microprocessor, Digital Electronics



1. To make the students familiar with the architecture of PIC Microcontroller.

2. To explain the instructions set with examples of PIC Microcontroller.

3. To explain the concepts of ports, timers, counters along with their programming using

PIC Microcontroller.

4. To develop understanding related to interfacing of peripheral devices with PIC

Microcontroller.


1. Understand the evolution of processor architectures.

2. Understand about Interrupts, Timers and ports of PIC microcontroller.

3. Write simple programs in assembly language on PIC Microcontroller. 4. Interface peripheral devices with PIC microcontroller.

Course Contents

UNIT-I

PIC Microcontroller Architecture

Introduction to PIC Microcontrollers, Processor Architectures: Harvard vs. Von Neumann;

Concept of Pipelining, RISC vs. CISC. Comparison between PIC16 (mid range 8 bits family)

and PIC18 (advanced 8 bits family)families of microcontrollers.

PIC 16F877A Microcontroller:Pin Diagram, Functional Block diagram, Program Memory

Organization, Special Function Registers and Data Memory Organization, Architecture of

Instructions: Bit oriented, Byte oriented, Literal and Control instructions.

UNIT-II

I/O Ports andProgramming with PIC 16F877A Microcontroller

Introduction to MP Lab IDE, Assembly Language Programming Styleand Instruction set

(PIC 16F877A), Intel hex format object files, Debugging.

Simple Arithmetic operations;TRIS Registers of PORT A, B, C, D and E andMemory

Mapped Input/Output; Bit addressing, RAM direct and Indirect addressing; Writing

Subroutines, Delay and Loop Control, Analog to Digital Conversion; Comparator Module.

UNIT-III

Timers and Interruptsof PIC16F877A MCU

Timer0 Module and Pre-scalar multiplexing with Watch Dog Timer;Timer0 as counter;

Block Diagram of Timer1 Module; Timer1 pre-scalar; Timer1 as synchronous and

Asynchronous counter; Timer1 Oscillator; Block Diagram of Timer2 Module; Pre-scalar and

Post-scalar of Timer2; Interrupt logic diagram, Timer0 Interrupt, Port-B change Interrupt,

RB0 Interrupt; Timer1 and Timer2 Interrupts and External interrupts, Interrupt Service

Routine, Synchronous Serial Port Module, UART Module,

UNIT-IV

Designing with PIC16F877A Microcontroller DC Motor Speed Control using PWM Module, Interface LM35 Temperature Sensor using

ADC Module, Angle control of a Stepper Motor, Interfacing a Servo Motor and Angle

Control, Design a Up and Down Digit Counter usingSeven Segment Display, LCD

interfacing in 8 bit and 4 bit Mode for data display, Design a Frequency/Event Counter using

Capture Module, Interface SR-04 Ultrasonic Sensor and Measure the Distance, Design a

Home Automation using Relay Driver and IR Obstacle Detector.

Text Books:

“Design with PIC Microcontroller”, by John B. Peatman, Pearson.

“PIC Microcontroller and Embedded Systems: using assembly and C for PIC 18” by

Muhammad Ali Mazidi, Pearson.

Reference Books:

“Microcontroller Programming, the Microchip PIC”, by Julio Sanchez, Maria P. Canton,

CRC Press.

“Embedded C programming and the microchip PIC” by Richard H. Barnett, Larry O’ Cull, Delmar Cengage Learning.

DIGITAL SYSTEM DESIGN



Course Credits: 3.5












contain short answers type questions. Rest of the eight

questions is to be given by setting two questions from each

of the four units of the syllabus. A candidate is required to

attempt any other four questions selecting one from each

of the remaining four units. All questions carry equal

marks.

Pre-requisites: Analog & Digital Circuits, Semiconductor Devices, Basic Electronics, Digital

Electronics, Microprocessor and its Applications

Course Objectives:

1. To understand the basic building blocks of Digital ICs and Systems.

2. To skill the students with in depth knowledge of IC design flow using HDL-VHDL/Verilog.

3. To provide knowledge on digital system design process.

4. To familiarize students with project design and implementation using VHDL/Verilog.

Course outcomes:

1. Design a digital system with basic digital hardware blocks to solve a given problem.

2. Describe and compare different design methodologies of digital systems using VHDL/Verilog.

3. Ability to design and implement digital VLSI projects using VHDL/Verilog.

4. Will be able to evaluate the performance of Digital Systems.

Unit- I

Benefits of CAD, Design abstractions, Digital system design process, Computer aided design tools for

digital systems, Hardware Description Languages, introduction to VHDL/Verilog and its capabilities,

VHDL-data objects, classes and data types, operators, overloading, logical operators, types of delays,

Entity and Architecture declaration. Introduction to behavioral, dataflow and structural models,

Hierarchical Modeling Concepts: Design Methodologies.

Unit- II

Assignment statements, sequential statements and process, conditional statements, case statement Array

and loops, resolution functions, Packages and Libraries, concurrent statements. Subprograms: Application

of Functions and Procedures, Structural Modeling, component declaration, structural layout and generics.

Unit- III

VHDL Models and Simulation of combinational circuits such as Multiplexers, Demultiplexers, encoders,

decoders, code converters, comparators, implementation of Boolean functions etc, VHDL Models and

Simulation of Sequential Circuits, Shift Registers, Counters etc.

Unit -IV

Design with PLDs, Programmable logic devices: ROM, PLAs, PALs, CPLDs and FPGA, Design

implementation using ROM, PLA, PAL, CPLDs and FPGAs.

Basic components of a computer, specifications, architecture of a simple microcomputer system,

implementation of a simple microcomputer system using VHDL

References:

1. Introduction to Digital Systems: Milos Ercegovac, T Lang, and J H Moreno, Wiley-2014

2. VHDL Modular design and synthesis of Cores and systems: Z Navabi, McGraw Hill, 2014

3. A VHDL Primer: J Bhaskar, PHI 1995.

4. Digital Design with introduction to HDL: Mano and Ciletti, Pearson 2013.

Electronics Circuits Simulation Lab General Course Information:



Mode: Lab Work

Course Assessment


Pre-requisite: Linear Integrated Circuits and Applications

Course Objectives:

1. To provide students knowledge of PSpice software for designing of electronic circuits

2. To design and analyze various Op-amp configurations

3. To explore Op-amp based applications

4. To design active filters, comparators and generators

Course Outcomes:

After completion of this course students will be able to design and analyze:

1. Electronics circuits using PSpice software

2. Op-amp configurations

3. Op-amp with desired frequency response (filters).

4. Various linear applications of Op-amp .


1. Design and simulate PSpice model of inverting amplifier and obtain plots of input signal

voltage versus time and output signal voltage versus time.

2. Design and simulate PSpice model of noninverting amplifier and obtain plots of input

signal voltage versus time and output signal voltage versus time.

3. Design and simulate PSpice model of differential amplifier and obtain plots of input

signal voltages versus time and output signal voltage versus time.

4. Design and simulate PSpice model of inverting amplifier with feedback and obtain plots

of input signal voltage versus time and output signal voltage versus time.

5. Create and simulate PSpice model of inverting averaging circuit and measure output

voltage.

6. Create and simulate PSpice model of noninverting summing amplifier circuit and

measure voltage at inverting, noninverting and output terminals.

7. Create and simulate PSpice model of voltage to current converter with grounded load and

measure voltage at inverting, noninverting and output terminals. Also measure load

current.

8. Create and simulate PSpice model of second order low pass Butterworth filter and obtain

plot of output voltage versus frequency.

9. Create and simulate PSpice model of second order high pass Butterworth filter and obtain

plot of output voltage versus frequency.

10. Create and simulate PSpice model of square wave generator and obtain plots of capacitor

voltage versus time and output signal voltage versus time.

11. Design and simulate PSpice model of noninverting comparator and obtain plots of input


12. Design and simulate PSpice model of inverting comparator and obtain plots of input


NOTE:

Ten experiments are to be performed out of which at least seven experiments should be

performed from above list. The list may be modified time to time as per the syllabus of ECE -

304 - L course.

Microcontroller and Embedded System Design Lab




Mode: Lab Work

Course Assessment


Course Objectives:

1. To familiarize the students with the development board of PIC Microcontroller.

2. To familiarize the students about the MP Lab Software for designing.

3. To write and verify various assembly language programs using PIC Microcontroller

board.

4. To interface various peripheral module with PIC Microcontroller.

Course Outcomes:

1. The students will have practical understanding of the development board of PIC

Microcontroller.

2. The students will be able to write various assembly language programs on MP Lab

software.

3. The students will be able to interface various peripherals to the microcontroller.

4. The students will be able to designthe embedded system using PIC Microcontroller.

LIST OF EXPERIMENTS

1. Write an assembly language program to perform addition, subtraction, multiplication and

division operation using PIC 16 Microcontroller.

2. Write an assembly language program to perform 16-bit addition and subtraction

operation using PIC Microcontroller.

3. Write an assembly language program to perform logical operation using PIC 16

Microcontroller.

4. Write an assembly language program for delay calculation using PIC Microcontroller.

5. Write a program for the blinking of LED’s using PIC Microcontroller.

6. Seven segment display interfacing with PIC Microcontroller.

7. LCD Interfacing with PIC Microcontroller.

8. DC Motor interfacing with PIC Microcontroller.

9. Stepper motor interfacing with PIC Microcontroller.

10. Servo motor interfacing with PIC Microcontroller.

11. Temperature sensor interfacing with PIC Microcontroller.

12. Accelerometer sensor interfacing with PIC Microcontroller.

NOTE:Atleast eightexperiments are to be performed in the semester, out of which atleast six



the syllabus.

DIGITAL SYSTEM DESIGN LAB




Mode: Lab Work

Course Assessment


Pre-requisites: Analog & Digital Circuits, Semiconductor Devices, Basic Electronics, Digital

Electronics, Microprocessor and its Applications

Course Objectives:

1. To skill the students with knowledge of practical digital system design using HDLs-

VHDL/Verilog.

2. To provide hands on experience on the FPGA implementation of digital logics.

3. To familiarize how to model combinational and sequential digital logic using

VHDL/Verilog

4. To familiarize students with project design and implementation using VHDL/Verilog.

Course outcomes:

1. Understanding of digital hardware design concepts with logic implementation.

2. Able to simulate and implement digital components and circuits using VHDL/Verilog.

3. Ability to design digital VLSI projects using VHDL/Verilog.

4. Able to implement digital logic using FPGA.

LIST OF EXPERIMENTS: 1. Design all logic gates and 4-bit Full Adder using VHDL.

2. Design a 4-bit Full Adder-Subtractor using VHDL.

3. (a) Design a 3-to-8 Decoder using 1-to-2 Decoder using VHDL.

(b) Design a 8-to-1 MUX using 2-to-1 MUX using VHDL

4. Design a 4-Bit Comparator using VHDL.

5. Design a BCD to 7-Segment decoder using VHDL.

6. Design a 4-bit ALU using VHDL.

7. Design a D-FF with Sync and Async control using VHDL.

8. Design of Mealy and Moore FSM using VHDL.

9. Design register, shifter and counter using VHDL.

10. FPGA implementation of Digital logics using VHDL.

NOTE: Ten experiments are to be performed out of which at least Six experiments should be

performed from above list. The remaining experiments may be performed from the above list or

designed and set by concerned institution as per the scope of the syllabus.

SEMINAR


Course Code: EE-408-P

Course Credits: 1.0

Type: Compulsory

Contact Hours: 4 hours (P) per

week.

Mode: Practical

Course Assessment Methods (Internal: 100)

Internal continuous assessment of 100 marks on the basis of

class performance, presentations and attendance in Seminar

classes.

Prerequisite: Student should have prior basic knowledge of communication skills.

Objectives:

The purpose of technical seminar is to train the students in preparing and presenting

technical topics.

It is an opportunity to clarify, deepen the understanding in the subject, and also increase

confidence and presentation skills

Course outcomes:

CO1. Enhancement in communication skills.

CO2. Ability to explore and express innovative thought/ideas.

VLSI Technology and Applications



Course Credits: 3.5

















marks.

Pre-requisites: Analog & Digital Circuits, Electronics Semiconductor Devices

Course Objectives:

1. To understand the basic of ICs fabrication process.

2. To skill the students for Metallization process and properties of materials.

3. To provide knowledge on oxidation of materials.

4. To familiarize students with epitaxial layer and patterning of materials.

Course outcomes:

CO-1. Understand the kinetics of Oxide Growth.

CO-2. Able to pattern the layer of metals using different techniques.

CO-3. Ability to diffuse materials using different techniques.

CO-4. Will be able to characterize the materials.

Unit I

Microelectronics processing: Introduction, Clean Room, Pure Water System, Vacuum Science

andTechnology, Practical vacuum systems, Operating principle: Rotary Pump, Diffusion pump,

CryoPump and Turbo Pump, Vacuum Gauges: Sources for vacuum deposition, Sputtering (DC,

RF and RFMagnetron), Chemical Vapor Deposition, reactors for chemical vapor deposition,

CVD Applications,PECVD, Metallization, Epitaxy: Introduction, Vapor phase epitaxy, Liquid

phase epitaxy andMolecular beam epitaxy, Hetroepitaxy.

Unit II

Thermal Oxidation of Silicon, Oxide Formation, Kinetics of Oxide Growth, Oxidation Systems,

Properties of Thermal Oxides of Silicon, Impurity Redistribution during Oxidation,Uses of

SiliconOxide, Basic diffusion process, Diffusion Equation, Diffusion Profiles, Evaluation of

Diffused Layers,Diffusion in Silicon, Emitter-Push Effect, Lateral Diffusion, Distribution and

Range of Implanted Ions,Ion Distribution, Ion Stopping, Ion Channeling, Disorder and

Annealing, Multiple Implantation andMasking, Pre-deposition and Threshold Control.

Unit III

Photolithography, Negative and Positive Photoresist, Resist Application, Exposure and

Development,Photolithographic Process Control. E-Beam Lithography, X-Ray Beam

Lithography and Ion Beam Lithography. Wet Chemical Etching, Chemical Etchants for SiO2,

Si3N4, Polycristalline Silicon and other microelectronic materials, Plasma Etching, Plasma

Etchants, Photoresist Removal, Lift off process, Etch Process Control

Unit IV

Fundamental considerations for I.C processing, PMOS and NMOS IC Technology, CMOS I.C

technology, Packaging design considerations, Special package considerations, Yield loss in

VLSI, Reliability requirements for VLSI.

Text/Reference Books:

1. Microchip Fabrication: A Practical Guide to Semiconductor Processing by Peter Van

Zant (2nd Edition) (McGraw Hill Publishing Company).

2. Vacuum Technology by A. Roth

3. Microelectronic Processing: An Introduction to the Manufacture of Integrated Circuits by

W. Scot Ruska (McGraw Hill International Edition).

4. VLSI Technology By S.M.Sze (2nd Edition)

5. Semiconductor Devices: Physics and Technology by S.M. Sze.

6. VLSI Fabrication Principles: Silicon and Gallium Arsenide by Sorab K. Ghandhi (John

Wiley & Sons).

7. Fundamentals of Microelectronic Processing by Hong H. Lee (McGraw Hill Chemical

Engineering Series).

8. Thin Film Processes Part I & II by John L. Vossen and Wirner Kern (Academic Press).

Consumer and Industrial Electronics Course code:ECE-314-L

Course Credits:04

Contact Hours:4/week,(L-T-P:3-1-0)


Examination Duration:3 hours

Course Assessment Methods(internal:30; external:70)

Two minor tests each of 20 marks, class performance measured

through percentage of lectures attended (4 marks), Assignments (4

marks) and class performance (2 marks) and end semester examination

of 70 marks.









Course Objectives:

1. To learn operations of various Audio & Video Systems, & Home appliances and advance

consumer electronic gadgets used in our day-today actives.

2. To introduce students with various electronic gadgets used in offices.

3. To introduce with home appliances used in our day-today actives

4. To give basic knowledge of advance electronic gadgets and electronic gadgets used in

industries.

Course Outcomes:

1. Students will gain fundamental knowledge about the various gadgets of consumer

electronics.

2. Student shall know the basics of Electronics, operations of various Audio & Video

Systems, Office & Home appliances and advance consumer electronic gadgets used in

our day-today actives.

3. This subject will introduce the students with working principles, block diagram, main

features of consumer electronics gadgets/goods/devices like audio-systems, CD systems,

TV and other items like digital clocks, calculators, microwave ovens, photo state

machines etc. 4. Understand the working principles of various input devices (sensors, transducers etc.) and

output devices (amplifiers, relays etc.) and signal conditioning circuitry.

Unit-1

Audio and Video Systems

Microphones: Construction, working principles and applications of microphones, their types viz:

a) Carbon b) moving coil, c) velocity, d) crystal, e) condenser, e) cordless etc; Loud Speaker:

Direct radiating, horn loaded woofer, tweeter, mid range, multi-speaker system, baffles and

enclosures; Sound recording on magnetic tape, its principles, block diagram and tape transport

mechanism; Digital sound recording on tape and disc CD system: Hi-Fi system, pre-amplifier,

amplifier and equalizer system, stereo amplifiers

Different types of screens: LCD, LED, Plasma, CRT, 3d display, Digital cameras (still and

video), Basic idea of principles of Black and White and colour TV and their difference,

Standards Remote Control, VCD and DVD Players

Unit-2

Office and Home Gadgets

Basic block diagram, working of the followings: Desktop computer, Laptop, Micro SD card, Pen

drive, Hard disk, Printer (inkjet and laser), Scanner, FAX machine, Photostat and Xerox

machines, EPABX, Micro wave ovens, washing machine, RO, UPS/inverters, Air conditioners,

Refrigerators

Unit-3

Industrial Devices

Input Devices: Sensors, Transducers, and Transmitters for Measurement (Active Transducers,

Passive Transducers, Thermoresistive Transducers, Photoconductive Transducers, Humidity

Transducers, Pressure Transducers, Flow Transducers, Level Determination, Speed Sensing,

Vibration Transducers); Output Devices: Valves, Relays, Variable-Frequency Drives, Stepper

Motors and Servomotor Drives

Unit-4

Advance Gadgets

Basic block diagram and working of the followings: Drones, Bar coding, Automated Teller

Machines (ATM), Dish washer, cable TV and DTH, cable TV using internet, Electronic Ignition

Systems for automobiles, Home security and CCTV, 3D Printers, LCD projector

Text Books:

1. S.P Bali, “Consumer Electronics”, Pearson Education Asia Pvt., Ltd.

2. Thomas E. Kissell, Industrial Electronics: Applications for Programmable Controllers,

Instrumentation and Process Control, and Electrical Machines and Motor Controls, Prentice Hall

Reference Books:

1. B. Grob, “ Basic Electronics”, Tata Mc Graw Hill Publishers

2. Philip Hoff, “Consumer Electronics for Engineers”, Cambridge University Press

Information Theory & Coding



Course Credits: 3.5

















equal marks.

Pre-requisite: Probability theory.

Course Objectives:

1. To understand elements of information theory and source coding.

2 To understand various error-detection and correction coding techniques.

3. Develop ability to apply various error correction codes for error detection and correction.

4. To understand basics of cryptography and its standards.

Course Outcomes:

After completion of the course, the student is able to

1. Design the channel performance using Information theory.

2. Comprehend various error control code and their properties.

3. Apply linear block codes, convolutional codes etc. for error detection and correction.

4. Comprehend various cryptography algorithms & standards.

Unit-I

INTRODUCTION TO INFORMATION THEORY: Review of Probability Theory,

Introduction to Information Theory, Uncertainty and Information, Entropy, Rate of Information,

Joint Entropy, Conditional Entropy, Mutual Information, Channels: Noise Free Channel, Binary

Symmetric Channel (BSC), Binary Erasure Channel (BEC), Channel Capacity, Shannon’s

Theorem, Continuous Channel, Capacity of a Gaussian Channel: Shannon-Hartley Theorem,

Bandwidth and S/N Trade-off.

Unit-II

SOURCE CODING: Source Coding Theorem, Shannon- Fano Coding, Huffman Coding, The

Lempel-Ziv Algorithm, Lossy Data Compression: Rate Distortion Function, Introduction to

Image Compression.

ERROR CONTROL CODING: Introduction to Error Control Coding, Typeof Codes, General

Description of Basic ARQ Strategies, Hybrid ARQ Schemes.

UNIT – III

LINEAR BLOCK CODES:, Linear Block Codes: Properties, Specific Linear Block Codes,

Hamming Code, Cyclic Codes, B.C.H Codes, Reed-Solomon Codes, Decoding of Linear Block

Codes, Maximum Likelihood Decoding, Error Detecting and Correcting Capabilities of a Block

Code.

UNIT – IV

CONVOLUTIONAL CODES: Transfer Function of a Convolutional Code, Viterbi Decoding,

Distance Properties of Binary Convolutional Codes, Burst Error Correcting Convolutional

Codes.

INFORMATION THEORY AND CRYPTOGRAPHY: Introduction to cryptography,

Encryption Techniques, Encryption Algorithms, Symmetric Key Cryptography, Asymmetric

Key Algorithms, Data Encryption Standard (DES).

Text Books:

1. J G Proakis, “Digital Communications”, Tata McGraw Hill, 2001.

2. Ranjan Bose, “ITC and Cryptography”, Tata McGraw-Hill.

Reference Books:

1. Thomas M. Cover, Joy A. Thomas, “Elements of Information Theory”, Wiley Publication.

2. ArijitSaha, Nilotpal Manna, SurajitMandal, “Information Theory, Coding and cryptography”, Pearson Education, 2013.

3. R.P. Singh and S.D. Sapre, “Communication System: Analog and Digital”, Tata McGraw-Hill.

4. Simon Haykin, “Digital communication”, John Wiley.

BIOMEDICAL ENGINEERING AND INSTRUMENTATION



Course Credits: 3.5




Course Assessment Methods (internal: 30; external: 70) Two minor tests

each of 20 marks, Class Performance measured through percentage of lectures

attended (4 marks), Assignments (4 marks), and class performance (2 marks),

and end semester examination of 70 marks.


examiner. Question number one will be compulsory and based on the entire

syllabus. It will contain seven short answers type questions. Rest of the eight

questions is to be given by setting two questions from each of the four units of

the syllabus. A candidate is required to attempt any other four questions

selecting one from each of the remaining four units. All questions carry equal

marks.

Pre-requisites: Basic electronics, Basics of Medical Imaging & Instrumentation.

Course Objectives:

1. To understand the basic principle, working and design of various automated diagnostic electronic equipments.

2. To develop skills enabling Biomedical Engineers to serve Hospitals, National and International Industries and

Government Agencies.

3. To develop core competency in the field of Biomedical Engineering to gain technical expertise in biology and

medicine for effective contribution in the development and improvement of health care solutions.

4. To study various medical instrumentation systems, drug delivery systems and health management systems.

Course Outcomes:

1. Students will be able to demonstrate the principles of electronics used in designing various diagnostic

equipment and have depth knowledge with greater emphasis on health care equipments and the advanced

technologies such as Telemedicine, Telemetry, Medical Imaging, etc.

2. Students will be able to demonstrate ability of correlating theoretical concepts with their practical

implementation while performing laboratory exercises and project work.

3. Students will be able to provide a better technical support with exposure to the hospitals and health care

industry.

4. Students will be able to use modern methodologies, multidisciplinary skill set and knowledge while working on

real time projects that demand convergence of engineering, science and technology.

UNIT- 1

BIOMEDICAL MEASUREMENT CONCEPTS: Generalized scheme of a measurement system, Basic methods

of measurements, Errors in measurements, types of errors, Statistical analysis of measurement- data, mean &

probability of errors , Gaussian distribution probable error , limiting errors. Reliability of measurement systems – failure rate, reliability improvement, Availability, redundancy, choice of components and materials. Different types

of noises in measurements and its Suppression methods. Amplifiers,active filters, timers ADC and DAC.

UNIT- II

BIOMEDICAL INSTRUMENT CHARACTERISTICS: Static characteristics of instruments – accuracy,

precision, sensitivity, linearity, resolution, hysteresis, threshold, input impedance, loading effect , generalized

mathematical model of measurement systems – dynamic characteristics , Modeling of Transducers ,operational

transfer function – zero, first and second order instruments, impulse, step, ramp and frequency response of the above

instruments, techniques for dynamic compensation.

UNIT- III

TRANSDUCERS AND SENSORS: Transducers, Classification, selecting of transducers, circuit based on

transduction. Temperature transducers – Displacement transducer, Pressure transducer, catheter tip transducers.

Photoelectric transducers, Flow transducers , Piezoelectric transducers and their applications. Biosensors

Chemoreceptor, hot and cold receptors, Baro receptors, sensors for smell, sound, vision, osmolality and taste.

Transducers for the measurement of ions and dissolved gases. Ion exchange membrane electrodes, Measurement of

pH,Glass pH electrodes. Measurement of pO2, Measurement of pCO2. ISFET for glucose, urea.

UNIT- IV

BIOMEDICAL ELECTRODES AND EQUIPMENTS :Electrocardiogram (ECG), Electroencephalogram

(EEG), Electromyogram (EMG), Electrooculogram (EOG), Electroretinogram (ERG), Recording Electrodes – Electrode, tissue interface, polarization, skin contact impedance ,Silver Chloride electrodes, Electrodes for ECG,

Electrodes for EEG, Electrodes of EMG, Electrical conductivity of electrode jellies and creams, microelectrodes,

Needle electrodes.

Text books:

1. Khandpur R.S, “Handbook of Biomedical Instrumentation”,Tata McGraw Hill, New Delhi, 2003.

2. A.K.Sawhney, “A Course in Electrical and Electronic measurements and Instruments”, Dhanpat Rai and Sons,

2000.

3. Leshie Cromwell, Fred. J. Weibell and Erich. A. Pfeiffer, “Biomedical Instrumentation and Measurements”, 2nd

Edition, PHI, 2003

4. John G. Webster, Medical Instrumentation: Application and Design, 3rd edition, John Wiley & Sons, New York

References Books:

1. R. Anandanatarajan, “Biomedical Instrumentation”, PHI Learning, 2009.

2. M. Arumugam, “Biomedical Instrumentation”, Anuradha Agencies Publishers, Vidayal Karuppar, 612 606,

Kumbakonam, R.M.S: 1992

3. Introduction to Biomedical Equipment Technology: Carr,Bro.

DATA ACQUISITION SYSTEM


Course code:ECE-320-L

Course Credits:3.5





Two minor tests each of 20 marks, class performance measured through


class performance (2 marks) and end semester examination of 70 marks.


examiner. Question number one will be compulsory and based on entire

syllabus. It will contain seven short answers type questions. Rest of the

eight questions is to be given by setting two questions from each of the

four units of the syllabus. A candidate is required to attempt any other four

questions selecting one from each of the remaining four units. All


Pre-requisite: Analog electronics, digital electronics and instrumentation.

Course Objectives:

1. ToIdentify the noise present in a signal and how to suppress it.

2. To Know how to properly convert analog data to sampled digital data required for

computer data acquisition and control.

3. To understand concepts of acquiring the data from transducers/input devices, their

interfacing and instrumentation system design.

4. ToSetup a data acquisition system with sensors and collect real time data.

Course Outcomes: After the successful completion of the course the students will be able to:

1. Elucidate the elements of data acquisition techniques.

2. Design and simulate signal conditioning circuits.

3. Explain various data transfer techniques.

4. Understand the components of data acquisition system.

Course Contents

Unit-1

Data Acquisition Techniques:Analog and digital data acquisition, Sensor/ Transducer

interfacing, Unipolar and bipolar transducers, Sample and hold circuits, Multiplexing circuits,

Types of Multiplexing Systems, Signal Conditioner, Grounding and Shielding, Interference,

Series and common mode noise.

Unit-II

Data Acquisition with Op- Amps:Operational Amplifiers,CMRR, Slew Rate, Gain,

Bandwidth, Zero crossing detector, Peak detector, Window detector, Differential Amplifier,

Instrumentation Amplifier AD 620, Interfacing of IA with sensors and transducer, Basic

Bridge amplifier and its use with strain gauge and temperature sensors, Filters in

instrumentation circuits.

Unit-III

Data Transfer Techniques:Serial data transmission methods and standards RS 232-C:

specifications, connection and timing, 4-20 mA current loop, GPIB/IEEE-488, LAN,

Universal serial bus, HART protocol,, Foundation-Fieldbus, ModBus, Zigbee and Bluetooth.

Unit-IV

Data Acquisition System: Single channel and multichannel, Graphical Interface (GUI)

Software for DAS, RTUs, PC-Based data acquisition system.

Text Books:

1. Coughlin, R.F., Operational Amplifiers and Linear Integrated Circuits, Pearson Education (2006).

2. Kalsi, H.S., Electronic Instrumentation, Tata McGraw Hill (2002).

3. Gayakwad, R.A., Op-Amp and Linear Integrated Circuits, Pearson Education (2002).

4. Mathivanan, N., Microprocessor PC Hardware and Interfacing, Prentice Hall of India Private

Limited (2007).

Reference Books:

1. Ananad, M.M.S., Electronic Instruments and Instrumentation Technology, Prentice Hall of India

Private Limited (2004).

2. Murthy, D.V.S., Transducers and Instrumentation, Prentice Hall of India Private Limited (2006).

Digital Signal Processing


Course Code: ECE-401-L Course Credits: 3.5






percentage of lectures attended (4 marks), Assignments (4 marks),

and class performance (2 marks), and end semester examination of 70

marks.








Course Assessment Methods: Both Continuous & Semester End Assessment

Pre-requisites: Signal & Systems

Course Objectives: 1. To understand the theoretical concepts of signal transformation.

2. To understand the basics application of digital signal processing

3. To understand the structure of FIR & IIR systems.

4. To understand the basics concept of filters, designing of filters, Multi-rate signal processing

and concept of finite word length and DSP processors.

Course Outcomes:

1. To understand various types of signal transformation.

2. Ability to understand the multi rate digital signal processing.

3. Ability to understand the applications of filters.

4. Ability to understand the structure of FIR & IIR system.

Course Contents

UNIT- I

Discrete Fourier Transform (DFT):

Frequency Domain Sampling and Reconstruction of Discrete –Time signals, Discrete Fourier

Transform, DFT as a Linear Transformation, Properties of DFT, Use of DFT in Linear filtering

methods: linear filtering, Filtering of long data Sequences.

Fast Fourier Transform (FFT):

Fast Fourier Transform Algorithms, Radix-2 FFT Algorithms, Applications of FFT Algorithms:

Efficient Computation of the DFT of Two Real Sequences, Efficient Computation of the DFT of

a 2N –Point Real Sequence.

UNIT- II

Structures for FIR Systems:

Direct –Form Structures, Cascade –Form Structures, Frequency Sampling Structures, Lattice

Structure.

Structures for IIR Systems:

Direct –Form Structures, Signal Flow graphs & Transposed Structures, Cascade –Form

Structures, Parallel –Form Structures; Lattice & Lattice-Ladder Structures for IIR Systems.

UNIT- III

FIR & IIR Filter Design:

FIR and IIR filters properties, Design of FIR filters: importance of Linear Phase response, Zero

locations for a linear phase FIR filter, Design of linear phase FIR filters using Windows,

Desirable Window function properties for FIR filter design, Frequency Sampling method for

Linear Phase FIR Filter Design, Design steps for IIR Filter design, Design of IIR low pass analog

filters: Butterworth, Chebyshew, Elliptic; Conversion of analog system to digital system by:

Approximation of Derivatives, Impulse Invariance, Bilinear Transformation, Analog Domain

Frequency Transformations, Digital Domain Frequency Transformations

UNIT- IV

Concept of finite word length in DSP, Introduction to Multirate digital signal processing,

sampling rate conversion, filter structures, multistage decimator and interpolators, digital filter

banks, , Introduction to Digital Signal Processors.

Text Books:

1. J. G. Proakis, D. G. Manolakis, “Digital Signal Processing, Principles, Algorithms, &

Applications”, Prentice –Hall India.

Reference Books:

1. L. R. Rabiner & B. Gold, “Theory and Application of Digital Signal Processing”, Prentice –Hall India.

2. A. V. Oppenheim, R. W. Schafer, J. R. Buck, “Discrete –Time Signal Processing”, Prentice –Hall India.

3. A. V. Oppenheim, R. W. Schafer, “Digital Signal Processing”, Prentice –Hall India.

4. Digital Signal Processing: Salivahanan, Vallavaraj and Gnanapriya; TMH

.

Digital Signal Processing Lab




Mode: Lab Work

Course Assessment


Course Objectives: 1. To understand how to represent the signal in MATLAB.

2. To understand the basic operation on signals.

3. To understand the designing concept of analog and digital filters.

4. To compute the DFT and IDFT of the signal.

Course Outcomes:

1. Ability to understand various types of signal representation.

2. Ability to design the filters.

3. Ability to understand the structure of various filters.

4. Ability to understand the Discrete Fourier transform.


1. Hands on Experience on MATLAB and generation of digital signals

2. To represent basic signals (Unit step, unit impulse, ramp, exponential, sine and cosine).

3. To develop program for discrete convolution.

4. To develop program for discrete correlation.

5. To understand stability test.

6. To understand sampling theorem.

7. To design analog filter (low-pass, high pass, band-pass, band-stop).

8. To design digital IIR filters(low-pass, high pass, band-pass, band-stop).

9. To design FIR filters using windows technique.

10. To design a program to compare direct realization values of IIR digital filter

11. To develop a program for computing parallel realization values of IIR digital filter.

12. To develop a program for computing cascade realization values of IIR digital filter

13. To develop a program for computing inverse Z-transform of a rational transfer function.

14. Compute DFT and IDFT for the given signal.

Note: Atleast eight experiments are to be performed in the semester, out of which atleast six experiments

should be performed from above list. Remaining experiments may either be performed from the above list

or designed and set by concerned institution as per the scope of the syllabus.

Opto Electronics and Optical Communication










marks.








Pre-requisite: Basic Electronics and Communication

Course Objectives:

1. To provide students with an overview of the concepts and fundamentals of optical fiber

communication

2. To understand types of optical fibers and causes of signal degradation within fiber

3. To explore light sources, receivers and optical components.

4. To design optical link

5. To know about testing equipments and performance measures of optical devices or

components.

Course Outcomes:


1. understandconcepts and fundamentals of optical fiber communication

2. understand types of optical fibers and causes of signal degradation within fiber

3. Know about light sources, receivers and optical components

4. Design optical link

5. Know about testing equipments and performance measures of optical devices or

components.

Course Contents

Unit -1

Introduction to Optical communication systems:

Electromagnetic spectrum used for optical communication, block diagram of optical

communication system. Basics of transmission oflight rays.Advantages of optical fiber

communication.

Optical fibers:

Optical fibers structures and their types, installation methods, fiber characteristics : attenuation,

scattering, absorption, fiber bend loss, dispersion types, dispersion compensation, Non linear

effects.fibercouplers and connectors

Unit- 2

Light sources and Transmitters:

General source characteristics,source to fiber power coupling,LED : recombination process, the

spectrum of recombination radiation, LED characteristics, internal and external

quantumefficiency, LED structures.

Basic principles of laser action in semi -conductors, optical gain, lasing threshold, laser

structures and characteristics, comparison with LED source.

LED transmitters, Laser transmitters, Transmitter controllers, external modulators

Unit -3

Photodiodes and receivers:

PiN photodiode, Avalanche Photodiode,multiplication process, Avalanche photodiodes,

comparison of photodetectors, optical receiver, photodetector noise, noise sources

Optical components: Passive optical components, active optical components, optical amplifiers,

wavelength division multiplexing

Unit -4

Performance measures: Digital link performance, optical signal to noise ratio, analog link

performance

Optical link design:System considerations, link power budget, rise time budget, line coding,

forward error correction

Test and measurement:Measurement standards, basic test equipment, optical power

measurements, test support lasers, optical spectrum analyzer, optical time domain reflectometer

Text Books:

1. Gerd Keiser, Optical communications essentials,McGraw Hill

2. Djafar K. Mynbaev,Fiber-Optic communications technology, Pearson

3. John M Senior, Optical Fiber Communications, PHI

Reference Books :

1. John Gowar, Optical Communication Systems, PHI.

2. Gerd Keiser,Optical Fiber Communications, TMH

3. Selvarajan, Kar, Srinivas,Optical fiber Communication, TMH.

4. Asu Ram Jha, Fiber optic technolology,PHI

https://www.amazon.in/Djafar-K.-Mynbaev/e/B001HCY4XO/ref=sr_ntt_srch_lnk_1?qid=1527183522&sr=8-1

Wireless Communication



Course Credits: 3.5






percentage of lectures attended (4 marks) Assignments (4 marks)

and class performance (2 marks), and end semester examination of

70 marks.










1. To develop basic understanding and impart in-depth knowledge of various concepts

used in wireless mobile communication.

2. To introduce the concepts of digital modulation in mobile radio and explain popular

modulation techniques used in wireless communication. 3. To help students understand the architecture and elements of wireless standards

and systems like GSM, GPRS, CDMA and OFDM.

4. To provide insight into multiple access techniques and spread spectrum, etc.


1. Be able to become familiar with fundamental mobile radio concepts.

2. Develop thorough understanding of the advanced concepts used in wireless

communication i.e. digital modulation techniques and spread spectrum etc.

3. In-depth knowledge of the popular and latest technologies prevalent in

mobile communication industry i.e. GSM, Multicarrier, OFDM etc.

4. Develop interest/acumen to pursue further research in the area of wireless

communication.

Course Contents

Unit-1

Introduction to Wireless Communication Systems: Evolution and Generations of wireless

mobile communication: 1G, 2G, 2.5G, 3G, 4G, etc. The Cellular Concept, Frequency reuse,

channel assignment strategies, hand-off strategies, interference and system capacity,

improving capacity of cellular system through cell splitting, sectoring and Microcell Zone

Concept.

Unit-2

Digital Modulation Techniques for Mobile Radio: An overview of digital modulation,

Line coding, Pulse Shaping techniques; Linear Modulation Techniques: BPSK, DPSK,

QPSK, Offset QPSK, pi/4 QPSK. Constant Envelope Modulation: BFSK, MSK and Gaussian

Minimum Shift Keying (GMSK).

Unit-3

Multiple Access Techniques for Wireless Communications: Introduction to multiple

access; FDMA, TDMA and CDMA; Spread spectrum concept, Direct Sequence spread

spectrum, Frequency Hopped Spread Spectrum, Time hopping spread spectrum, Spreading

Code generation (PN, Gold codes and Walsh codes), Properties of PN, Gold codes and Walsh

codes, RAKE receiver.

Unit-4

Wireless Systems: GSM radio subsystem, GSM architecture, GSM Interfaces, GSM logical

channels and frame structure, Signal processing in GSM; Architecture and specifications of

GPRS; CDMA Digital Cellular Standard (IS-95): Specifications, Forward CDMA channel,

Reverse CDMA channel; 4-G systems: Introduction to Multicarrier modulation and OFDM.

Text Books:

1. T.S Rappaport: Wireless Communications, Principles and Practices, Prentice Hall 1996.

2. Kamilo Feher: Wireless Digital Communications, Modulation and Spread Spectrum

Applications. PHI, 2001.

Reference Books:

1. W.C. Jakes: Microwave Mobile Communication, IEEE Press.

2. William C. Y. Lee: Mobile Cellular Telecommunications, Analog and digital systems,

McGraw-Hill-1995.

3. Mobile Communication, Jochen Schiller, Pearson.

4. Kaveh Pahlavan & Allen H. Levesque: Wireless Information Networks, Wiley series in

Telecommunication and signal processing.

Digital Signal Processing Lab




Mode: Lab Work

Course Assessment


Course Objectives: 1. To understand how to represent the signal in MATLAB.

2. To understand the basic operation on signals.

3. To understand the designing concept of analog and digital filters.

4. To compute the DFT and IDFT of the signal.

Course Outcomes:

1. Ability to understand various types of signal representation.

2. Ability to design the filters.

3. Ability to understand the structure of various filters.

4. Ability to understand the Discrete Fourier transform.


1. Hands on Experience on MATLAB and generation of digital signals

2. To represent basic signals (Unit step, unit impulse, ramp, exponential, sine and cosine).

3. To develop program for discrete convolution.

4. To develop program for discrete correlation.

5. To understand stability test.

6. To understand sampling theorem.

7. To design analog filter(low-pass, high pass, band-pass, band-stop).

8. To design digital IIR filters(low-pass, high pass, band-pass, band-stop).

9. To design FIR filters using windows technique.

10. To design a program to compare direct realization values of IIR digital filter

11. To develop a program for computing parallel realization values of IIR digital filter.

12. To develop a program for computing cascade realization values of IIR digital filter

13. To develop a program for computing inverse Z-transform of a rational transfer function.

14. Compute DFT and IDFT for the given signal.

Note: Atleast eight experiments are to be performed in the semester, out of which atleast six experiments

should be performed from above list. Remaining experiments may either be performed from the above list

or designed and set by concerned institution as per the scope of the syllabus.

Minor Project



Course Credits: 2.0

Type: Compulsory


week (L-T-P: 0-0-6)

Mode: Practical


The project should be initiated by the student in the beginning of the

7th semester and will be evaluated at the end of the 7

th semester on the

basis of its presentation delivered, viva-voce and report taken by

internal examiner.

Objectives:

1. To introduce the students to various emerging fields in Electronics Engineering.

2. To provide an opportunity to exercise the creative and innovative qualities in group project

environment.

3. To excite the imagination of aspiring engineers, innovators and technopreneurs.

Course Outcomes:

1. Exhibit the strength and grip on the fundamentals of the subjects studied during the course.

2. An ability to write technical documents and give oral presentation related to minor project

work completed.

Practical Training-II Report


Course Code: EE -409-P

Course Credits: 1.0

Type: Compulsory


week (L-T-P: 0-0-2)

Mode: Practical


Assessment of Practical Training-I will be based on the presentation/

seminar, viva-voce, report and certificate for the practical training

taken at the end of 6th semester by internal examiner

Objectives:

To acquaint with industry environment

To bridge the gap between academia and industry with the practical application of the

theoretical knowledge of the subjects learnt during the course

To inculcate the leadership as well as team spirit qualities

Course Outcomes:

CO1. Exposure to the industry environment

CO2. Ability to grasp practical application of the subjects taught during the course

CO3. Ability to understand the practical tolerances in real time applications

CO4. Recognize the need for, and have the preparation and ability to engage in independent

and life- long learning in the industry

GENERAL PROFICIENCY General Course Information:


Course Credits: 1.0

Type: Compulsory


week (L-T-P: 0-0-0)

Mode: Practical


The General Proficiency viva will be taken by external

examiner at the end of 8th

semester on the basis of

discipline, academic performance, sincerity, moral

values & Ethics etc.

Course Objectives:

The objectives of this course are to: 1. The purpose of this course is to inculcate a sense of professionalism in a

student.

2. The course aims at personality development of students in terms of quality

such as receiving, responding, temperament, attitude and outlook.

3. The course aims at overall development of students.

4. Tackle the problems in work culture. Course outcomes:


1. Improves presentation and communication skills

2. Improves the confidence while facing Interviews and group discussion

3. Learn importance of social activities.

4. Learn to work in groups as in job environment

The purpose of this course is to inculcate a sense of professionalism in a student

along with personality development in terms of quality such as receiving,

responding, temperament, attitude and outlook. The student efforts will be

evaluated on the basis of his/ her performance / achievements in different walks of

life.

A student will support his/her achievement and verbal & communicative skill

through presentation before the examiners. The examiners will assess the student

which reflects his/her learning graph including followings:

1. Discipline throughout the year.

2. Sincerity towards study.

3. How quickly the student assimilates professional value system etc.

4. Moral values & Ethics.

At the end of semester, students will be evaluated on the basis of their performance in various fields. The evaluation

will be made by the examiner. A specimen performa indicating the weight age to each component/ activity is given

below :-

Name : ________________________

Roll No. ________________________

Branch ________________________

Year of Admission ____________

I. Academic Performance (20 Marks) :

(a) Performance in University Examination :-

-----------------------------------------------------------------------------------------------------------------------

Sem. Result %age of Number of Attempt

Marks in which the Sem.

obtained exam. has been

cleared

--- -------------------------------------------------------------------------------------------------------------------

I

II

III

IV

V

VI

VII

---------------------------------------------------------------------------------------------------------------------

II. Extra Curricular Activities (15 Marks) :

Item Level of Participation Remarks

(Position Obtained)

Indoor Games ______________________________ ________________________

(Specify the ______________________________ ________________________

Games ______________________________

Outdoor Games ______________________________ ______________________________

(Specify the ______________________________

Games) ______________________________

Essay ______________________________ ______________________________

Competition ______________________________

______________________________

Scientific ______________________________

Technical ______________________________ ______________________________

Exhibitions ______________________________

Debate ______________________________

______________________________ ______________________________

______________________________

Drama ______________________________

______________________________ ______________________________

______________________________

Dance ______________________________

______________________________ ______________________________

______________________________

Music ______________________________

______________________________ ______________________________

______________________________

Fine Arts ______________________________

______________________________ ______________________________

______________________________

Painting ______________________________

______________________________ ______________________________

______________________________

Hobby Club ______________________________

______________________________ ______________________________

______________________________

N.S.S. ______________________________

______________________________ ______________________________

______________________________

Hostel Management ______________________________

Activities ______________________________ ______________________________

______________________________

Any other ______________________________

activity (Please ______________________________ ______________________________

Specify) ______________________________

III. Educational tours/visits/Membership of Professional Societies (5 Marks)

1. _____________________________________________

2. _____________________________________________

3. _____________________________________________

4. _____________________________________________

5. _____________________________________________

6. _____________________________________________

IV. Contribution in NSS Social Welfare Floor Relief/draught relief/Adult Literacy mission/Literacy

Mission/Blood Donation/Any other Social Service

(5 Marks)

1. _____________________________________________

2. _____________________________________________

3. _____________________________________________

4. _____________________________________________

5. _____________________________________________

6. _____________________________________________

V. Briefly evaluate your academic & other performance & achievements in the Institution (5 Marks)

_____________________________________________

_____________________________________________

_____________________________________________

_____________________________________________

VI. Performance in Viva voce before the committee (50 Marks)

_____________________________________________

_____________________________________________

_____________________________________________

_____________________________________________

_____________________________________________

*Marks obtained : I( )+II( )+III( )+IV( )+V( )+VI( ) =

**Total Marks: _____________________________

Power Electronics General Course Information:


Course Credits: 3.5






through percentage of lectures attended (4 marks), Assignments

(4 marks), and class performance (2 marks), and end semester


For the end semester examination, nine questions are to be set

by the examiner. Question number one will be compulsory and

based on the entire syllabus. It will contain seven short answers

type questions. Rest of the eight questions is to be given by

setting two questions from each of the four units of the syllabus.

A candidate is required to attempt any other four questions

selecting one from each of the remaining four units. All



Course Objectives: 1. To learn operations of various power semiconductor devices.

2. To introduce students with various regulators and converters..

3. To introduce with inverters and choppers.

4. To give basic knowledge of cycloconverters and electrical drives.

Course Outcomes: 1. Students will gain fundamental knowledge about the various components being used for

automation.

2. Student shall know the basics of firing and commutation of SCR.

3. This subject will introduce the students with working principles, block diagram, main

features of conversion circuits like converters, inverters, choppers and cycloconverters. 4. Understand the working principles of various DC and AC drives.

UNIT-I

Power Semiconductor Devices: Role & applications of power electronics, review of construction and

characteristics of power diode, Schottky diode, power Bipolar Junction transistor, power MOSFETs,

Construction & characteristics of thyristors: Thyristor, Silicon controlled switch, Gate Turn-off

Thyristor, Insulated Gate Bipolar Transitor, Metal oxide controlled Thyristor, Multilayer devices:

Construction & characteristics of DIAC, TRIAC, Reverse Conducting Thyristor, BENISTOR..

SCR Firing & Commutating Circuits: Ratings and protections, series and parallel connections, Devices

used for firing circuits: UJT firing PUT, SUS, SBS, Firing Circuits: R, RC, UJT, PUT and other firing

circuits based on ICs and microprocessors; pulse transformer and opto-coupler, Thyristor Turn-off

methods: Line commutation, Load commutation, forced commutation, Commutating circuits, Volatge

commutation, current Commutation & Pulse commutation.

UNIT-II

AC Regulators: Types of regulator, equation of load current, calculation of extinction angle, output

voltage equation, harmonics in load voltage and synchronous tap changer, three phase regulator.

Converters : One, two, three, six and twelve pulse converters, fully and half controlled converters, load

voltage waveforms, output voltage equation, continuous and discontinuous modes of operation, input

power factor of converter, reactive power demand, effect of source inductance, introduction to four

quadrant / dual converter, power factor improvement techniques, forced commutated converter,

MOSFET and transistor based converters.

UNIT-III

Inverters : Basic circuit, 120 degree mode and 180 degree mode conduction schemes, modified

McMurray half bridge and full bridge inverters, McMurray -Bedford half bridge and bridge inverters,

brief description of parallel and series inverters, current source inverter (CSI), transistor and MOSFET

based inverters.

Choppers : Basic scheme, output voltage control techniques, one, two, and four quadrant choppers, step

up chopper, voltage commutated chopper, current commutated chopper, MOSFET and transistor based

choppers.

UNIT-IV

Cycloconverters: Basic principle of frequency conversion, types of cycloconverter, non-circulating and

circulating types of cycloconverters.

Drives: Introduction to electric drives: DC drives – converter and chopper fed dc drives, ac drives -

stator voltage control, V/f control, rotor resistance control, static Scherbius system and static Kramer

systems.

TEXT BOOK:

1. Power Electronics: P.S Bhimra.

2. Power Electronics : MH Rashid; PHI

REFERENCE BOOKS :

1. Power Electronics : PC Sen; TMH

2. Power Electronics : HC Rai; Galgotia

3. Thyristorised Power Controllers : GK Dubey, PHI

4. Power Electronics and Introduction to Drives : A.K.Gupta and L.P.Singh;Dhanpat Rai

DATABASE MANAGEMENT SYSTEMS










marks.








Pre-requisites:Basic programming, Data structures and algorithms.

Course Objectives:

1. To understand and study the physical and logical database designs, database modelling, relational,

hierarchical, and network models.

2. To understand and use data manipulation language to query, update, and manage a database.

3. To design and build a simple database system and demonstrate competence with the fundamental tasks

involved with modelling, designing, and implementing a DBMS.

4. To develop an understanding of essential DBMS concepts such as: database security, integrity,

concurrency.

Course Outcomes:

1. Students will be able to understand database system architecture, data models for database systems,

database schema and database instances..

2. Students will be able to understand and compare basic database design approaches.

3. Students will be able to recall Relational Algebra concepts, and use it to translate queries to Relational

Algebra

4. Students will be able to: Design, Implement and manage a reliable database system, given an

application.

UNIT- I

Introduction to Databases and Models: Introduction-Database System Applications, Purpose of

Database Systems, View of Data - Data Abstraction, Instances and Schemas, Data Models, Database

Languages - DDL, DML, Database Architecture, Database Users and Administrators, History of Data

base Systems. Data models:Basic building blocks, Business rules, The evolution of data models, Degrees

of data abstraction.

UNIT- II

Database Design and Relational database model: Database design and ER Model:overview, ER-

Model, Constraints, ER-Diagrams, ERD Issues, weak entity sets, Codd’s rules, Relational Schemas,

Introduction to UML Relational database model: Logical view of data, keys, integrity rules. Relational

Database design: features of good relational database design, atomic domain and Normalization (1NF,

2NF, 3NF, BCNF).

UNIT- III

Relational Algebra and Calculus: Relational algebra: Introduction, Selection and projection, set

operations, renaming, Joins, Division, syntax, semantics. Operators,grouping and ungrouping, relational

comparison. Calculus: Tuple relational calculus, Domain relational Calculus, calculus vs algebra,

computational capabilities.

UNIT- IV

Transaction management and Concurrency control: Constraints,types of constrains, Integrity

constraints, SQL: data definition, aggregate function, Null Values, nested sub queries, Joined

relations.Triggers.Transaction management: ACID properties, serializability and concurrency control,

Lock based concurrency control (2PL, Deadlocks),Time stamping methods, optimistic methods, database

recovery management.

Textbooks:

1. Data base Management Systems, Raghurama Krishnan, Johannes Gehrke, McGrawHill Education, 3rd Edition,

2003.

2. Data base System Concepts, A.Silberschatz, H.F. Korth, S.Sudarshan, McGraw Hill, VI edition, 2006.

References:

1.Databases Illuminated 3nd Ed., Catherine Ricardo and Susan Urban, Jones and Bartlett, 2017 (ISBN 978-1-284-

05694-5)

Probability Theory and Stochastic Design



Course Credits: 3.5






of lectures attended (4 marks), Assignments (4 marks), and class









Pre-requisite: Mathematics

Course Objective:

1. To understand basic concepts of probability theory.

2 To understand the concept of random variables and their probability distribution.

3. To develop basic understanding of stochastic processes.

4. To learn estimation of mean square values and entropy of stochastic processes.

Course Outcomes:


1. Apply probability theory concepts on random variables.

2. Comprehend probability distributions of continuous and discrete random variables.

3. Understand Stochastic Process and its applications.

4. Comprehend mean square estimation and entropy of stochastic process.

UNIT-I

Basic Probability: Probability spaces, counting techniques, probability measure and its

properties, conditional probability, Bayes Theorem, Random variables and Distribution

Functions: Discrete variable and continuous variables, Moments of Random Variables, Expected

Value of Random Variables, Variance of Random Variables ,Chebychev Inequality, Moment

Generating Functions.

UNIT-II

Continuous Probability Distributions: Continuous random variables and their properties,

distribution functions and densities: normal, uniform, gamma, Beta, Lognormal, Inverse

Gaussian and Logistic Distribution.

Discrete Probability Distributions: Bernoulli Distribution, Binomial Distribution, Geometric

Distribution, Negative Binomial Distribution and Poisson Distribution.

Bivariate Random variables: Continuous and Discrete Bivariate Random Variables,

Conditional distribution.

UNIT-III

Stochastic Process: Definition, system with Stochastic Inputs, The Power Spectrum, Digital

Processes, Basic Applications: Poisson points and shot noise, modulation, Cyclo-stationary

Processes, Band-limited process and sampling theory.

Spectral representation and estimation: Factorization and Innovations, Finite order systems

and state variables, Fourier series and Karhunen-Loeve Expansion, Spectral representation of

random processes, Ergodicity, Spectral Estimation.

UNIT-IV

Mean Square Estimation: Introduction, Filtering and prediction, Kalman Filters.

Entropy: Introduction, Basic Concepts, Random variables and Stochastic Processes, The

Maximum Entropy Method, Coding, Channel Capacity.

Text Books:

1. Probability, Random Variables & Random Signal Principles, by P.Z.Peebles JR., MGH, 3/e,

2003.

2. Probability, Random Variables & Random Signal Principles, by A.Papoulis., MGH, 3/e, 2003.

3. Probability, Random Variables & Random Signal Principles, STARK et al, Pearson, 2002.

Reference Books:

1. An Introduction to Probability and Statistics by V.K. Rohatgi& A.K. Md.E.Saleh.

2. Introduction to Probability and Statistics by J.S. Milton &J.C.Arnold.

3. Introduction to Probability Theory and Statistical Inference by H.J. Larson.

4. Introduction to Probability and Statistics for Engineers and Scientists by S.M. Ross.

5. A First Course in Probability by S.M. Ross.

Audio and Speech Processing



Course Credits: 3.5















Pre-requisite: Signal and System, Digital Signal Processing.

Course Objective:

1. To understand speech production and modeling.

2 To understand linear prediction modeling of non-stationary signals.

3. To understand speech quantization.

4. To learn linear prediction coding and speech coding standards.

Course Outcomes:


1. Learn human auditory system and speech signal modeling.

2. Comprehend linear prediction modeling of non-stationary signals.

3. Understand speech quantization, and utility of various qauntizers.

4. Comprehend structure and limitations of LPC and CELP speech production models.

UNIT-I

Introduction: Speech production and modeling - Human Auditory System; General structure of

speech coders; Classification of speech coding techniques – parametric, waveform and hybrid;

Requirements of speech codecs –quality, coding delays, robustness.

Speech Signal Processing: Pitch-period estimation, all-pole and all-zero filters, convolution;

Power spectral density, periodogram, autoregressive model, autocorrelation estimation.

UNIT-II

Linear Prediction of Speech:Basic concepts of linear prediction; Linear Prediction Analysis of

non-stationary signals –prediction gain, examples; Levinson-Durbin algorithm; Long term and

short-term linear prediction models; Moving average prediction.

UNIT-III

Speech Quantization: Scalar quantization–uniform quantizer, optimum quantizer,logarithmic

quantizer, adaptive quantizer, differential quantizers; Vector quantization – distortion measures,

codebook design, codebook types.

Scalar Quantization of LPC: Spectral distortion measures, Quantization based onreflection

coefficient and log area ratio, bit allocation; Line spectral frequency – LPC to LSF conversions,

quantization based on LSF.

UNIT-IV

Linear Prediction Coding: LPC model of speech production; Structures of LPC encoders and

decoders; Voicing detection; Limitations of the LPC model.

Code Excited Linear Prediction: CELP speech production model; Analysis-by-synthesis;

Generic CELP encoders and decoders; Excitation codebook search – state-save method, zero-

input zerostate method; CELP based on adaptive codebook, Adaptive Codebook search; Low

Delay CELP and algebraic CELP.

Speech Coding Standards-An overview of ITU-T G.726, G.728 and G.729standards.


1. Digital Processing of Speech Signals Pearson Education, L.R. Rabiner and R.W.

Schafer, Delhi, India, 2004.

2. Discrete‐Time Processing of Speech Signals, J. R. Deller, Jr., J. H. L. Hansen and J. G.

Proakis, Wiley‐IEEE Press, NY, USA, 1999.

3. “Digital Speech” by A.M.Kondoz, Second Edition (Wiley Students Edition), 2004.

4. “Speech Coding Algorithms: Foundation and Evolution of Standardized Coders”, W.C. Chu,

WileyInter science, 2003.

Artificial Intelligence



Course Credits: 3.5










the examiner. Question number one will be compulsory and







Pre-requisite:Probability Theory, Mathematics.

Course Objective:

1. To understand concept of artificial Intelligence and its applications.

2 To understand knowledge representation and reasoning.

3. To understand machine learning algorithms.

4. To understand pattern recognition algorithms and their applications.

Course Outcomes:


1. Comprehend utility of artificial intelligence in various applications.

2. Apply HMM and Bayesian networks for knowledge representation and reasoning.

3. Comprehend supervised and unsupervised learning algorithms.

4. Comprehend pattern recognition algorithms and their utility.

Unit-I

Introduction: Introduction to Artificial Intelligence, Foundations and History of

Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of

Intelligent Agents.

Introduction to Search: Searching for solutions, Uniformed search strategies, Informed

search strategies, Local search algorithms and optimistic problems, Adversarial Search, Search

for games, Alpha-Beta pruning.

Unit-II

Knowledge Representation & Reasoning: Propositional logic, Theory of first order

logic, Inference in First order logic, Forward & Backward chaining, Resolution,

Probabilistic reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Networks.

.

Unit-III

Machine Learning: Supervised and unsupervised learning, Decision trees, Statistical

learning models, Learning with complete data - Naive Bayes models, Learning with hidden data

- EM algorithm, Reinforcement learning. .

Unit-IV

Pattern Recognition: Introduction, Design principles of pattern recognition system,

Statistical Pattern recognition, Parameter estimation methods - Principle Component Analysis

(PCA) and Linear Discriminant Analysis (LDA), Classification Techniques – Nearest Neighbor

(NN) Rule, Bayes Classifier, Support Vector Machine (SVM), K – means clustering.


1. Stuart Russell, Peter Norvig, “Artificial Intelligence – A Modern Approach”, Pearson

Education.

2. Elaine Rich and Kevin Knight, “Artificial Intelligence”, McGraw-Hill.

3. E Charniak and D McDermott, “Introduction to Artificial Intelligence”, Pearson Education.

4. Dan W. Patterson, “Artificial Intelligence and Expert Systems”, Prentice Hall of India.

Telecommunication Switching Systems

General Course Information: Course Code: ECE-423-L

Course Credits: 3.5





tests each of 20 marks, Class Performance measured through

percentage of lectures attended (4 marks), Assignments (4 marks), and


marks.










1. To introduce students with fundamental concept of telecommunication switching system.

2. To make the students familiar with electronic space division and time division switching.

3. To explain the concept and features of traffic engineering.

4. To familiarize with telephone and Data network.


1. Describe the need for switching systems and their evolution from analogue to digital.

2. Describe the Public Switched Telephone Network.

3. Describe private networks and integrated networks.

4. To compare telephone network, data network and integrated service digital network

Course Contents

Unit 1

Introduction: Evolution of Telecommunications, Simple Telephone Communication, Manual

switching system, major telecommunication Networks, Strowger Switching System, Crossbar

Switching.

Unit 2

Electronic Space Division Switching: Stored Program Control, Centralized SPC,

Distributed SPC, Enhanced Services, Two stage networks, Three stage network n-stage

networks.

Time Division Switching: Time multiplexed Space Switching, Time Multiplexed time

switching, combination Switching, Three stage combination switching, n-stage combination

switching.

Unit 3

Traffic Engineering: Network Traffic load and parameters, Grade of service and blocking

probability, Modeling Switching Systems, Incoming Traffic and Service Time

Characterization, Blocking Models and Loss Estimates, Delay systems.

Telephone Networks: Subscriber Loop Systems, Switching Hierarchy and Routing,

Transmission Plan, Transmission Systems, Numbering Plan, Charging Plan, Signaling

Techniques, In channel signaling, common channel signaling, Cellular mobile telephony.

Unit 4

Data networks: Block Diagram, features, working of EPABX Systems, Data transmission in

PSTNs, Data Rates in PSTNs, Modems, Switching Techniques for data Transmission, Circuit

Switching, Store and Forward Switching Data communication Architecture, ISO-OSI

Reference Model, Link to Link Layers, Physical Layer, Data Link Layer, Network Layer,

End to End layers, Transport Layer, Session Layer, Presentation Layer, Satellite based data

networks, LAN, Metropolitan Area network, Fiber optic networks, and Data network

standards.

Integrated Services Digital Networks: Motivation for ISDN, New services, Network and

Protocol architecture, Transmission Channels, User Network Interface, signaling, Numbering

and Addressing, Service characterization, Interworking ,ISDN standards, Broadband ISDN

,Voice data Integration.

Reference Books:

1 Thiagarajan Vishwanathan, “Telecommunication Switching Systems and Networks”; PHI Publications.

2 J. E. Flood, “Telecommunications Switching, Traffic and Networks”, Pearson

Education.

3 John C. Bellamy, “Digital Telephony”, Third Edition; Wiley Publications.

COMPUTER ARCHITECTURE AND ORGANIZATION



Course Credits:3.5





Two minor tests each of 20 marks, class performance

measured through percentage of lectures attended (4 marks),

Assignments (4 marks) and class performance (2 marks) and

end semester examination of 70 marks.



compulsory and based on entire syllabus. It will contain

seven short answers type questions. Rest of the eight



attempt any other four questions selecting one from each of

the remaining four units. All questions carry equal marks.

Pre-requisite: Digital Systems and Computer Design.

Course Objectives:

1. To discuss the basic concepts and structure of computers.

2. To introduce memory technology, memory hierarchy, virtual memory management,

and I/O system.

3. To summarize the Instruction set design and execution stages.

4. To emphasize the performance and cost analysis and pipelining.

Course Outcomes:Upon successful completion of this course, students will be able to:

1. Understand the detailed architecture of computer.

2. Exemplify in a better way the I/O and memory organization.

3. Understand the architecture and functionality of central processing unit.

4. Learn the concepts of parallel processing, pipelining and interprocessor

communication.

Course Contents

Unit -I

Introduction:Introduction and comparison of Computer Architecture &Organisation,

Structure and Function, Designing for Performance, Performance metrics; MIPS, MFLOPS,

Computer Components andFunctions, Interconnection Structures, Bus Interconnection, Point-

To-Point Interconnect, PCI Express,Flynn’s classification of computers (SISD, MISD,

MIMD).

Unit- II

Memory Hierarchy & I/O Techniques:The need for a memory hierarchy (Locality of

reference principle, Memory hierarchy in practice: Cache, mainmemory and secondary

memory, Memory parameters: access/ cycle time, cost per bit); Main memory(Semiconductor

RAM & ROM organization, memory expansion, Static & dynamic memory types);

Cachememory (Associative &direct mapped cache organizations.Peripheral Devices, Input-

Output Interface, Asynchronous DataTransfer, Modes of Transfer, Priority Interrupt, Direct

Memory Access.

Unit- III

Basic non pipelined CPU Architecture and Operating System: CPU Architecture

types(accumulator, register, stack, memory/ register) detailed data path of a typical register

based CPU,Fetch-Decode-Execute cycle (typically 3 to 5 stage), microinstruction sequencing,

implementation ofcontrol unit, Enhancing performance with pipelining. Operating System

Overview, Scheduling, MemoryManagement, Pentium Memory Management.

Unit -IV

Parallel Processing and Multi-core Computer: Goals of parallelism (Exploitation

ofconcurrency, throughput enhancement); Amdahl’s law; Instruction level parallelism

(pipelining, super scaling– basic features); Processor level parallelism (Multiprocessor

systems overview),Multiple Processor Organizations, SymmetricMultiprocessors, Cache

Coherence and the MESI Protocol, Multithreading and Chip Multiprocessors,Clusters, Non-

uniform Memory Access, Vector Computation, Multi-core Computers, Hardware

andSoftware Performance Issues, Multi-core Organization, Intel x86 Multi-core

Organization.

Text Books:

1. M Mano, “Computer System and Architecture”, PHI.

2. William Stallings, “Computer Organization & Architecture”, PHI.

Reference Books:

1. J. P. Hayes, “Computer Architecture and Organization”, McGraw Hill.

2. J. L Hennessy and D. A. Patterson, “Computer Architecture: A quantitative approach”, Morgon Kauffman, 1992.

3. Computer Systems Organization and Architecture, John D. Carpinelli, Pearson Education

Inc.

INTRODUCTION TO NANO-TECHNOLOGY


Pre-requisites: Physics, Chemistry, Basics of Electronics Engineering.


The objectives of this course are to:

1. Provide the students with knowledge and the basic understanding of nanotechnology.

2. Provide the students with knowledge in at least one discipline other than primary

discipline and some understanding of interdisciplinary linkages.

3. Aware the students about the exciting applications of nanotechnology at the leading edge

of scientific research.

4. Motivate the students to understand the creation of, characterization of, and manipulation

of nanoscale materials, systems, and devices and to optimize them for new applications.

On successful completion of this course, the students will be able to:

1. Describe the basic science behind the properties of materials at the nanometre scale, and

the principles behind advanced experimental and computational techniques for studying

nanomaterials.

2. Systematically solve scientific problems related specifically to nanotechnological

materials using conventional scientific and mathematical notation.

3. Know Top-down to Bottom-up approach techniques. 4. Get knowledge of Nanotechnology

.

Course Contents

Unit-I

Introduction & Background: Introduction to Nanotechnology, Insights and intervention

into the Nanoworld, Historical Background, recent advances and future aspects,

Applications of Nanotechnology in different fields- Agriculture, medical applications,

Environmental applications, Space, Defence, Food processing, consumer durables, textiles,


Course Credits: 4.0






of lectures attended (4 marks), Assignments (4 marks) and class






the four units of the syllabus. A candidate is required to attempt any other

four questions selecting one from each of the remaining four units. All


cosmetics etc, Safety, Health and environmental issues, Societal implications and ethical

issues in Nanotechnology.

Unit-II

Instrumentation Techniques for Nanotechnology: FTIR, Thermal analysis, Scanning

Probe Microscopy-principle of operation, instrumentation and probes, SEM, TEM, XRD

(Powder/Single crystal), AFM, Scanning Tunneling Microscopy (STM), Particle size

analyzer and Zeta Sizer.

Unit-III

Nanomaterials- Types, Properties and applications; Synthesis methods- Physical, Chemical

and Biological methods of synthesis; Carbon Nanotubes – Synthesis methods,

characterization and applications; Nanowires- synthesis methods, physical properties,

applications; Smart materials.

Unit-IV

Micro and Nanofabrication Techniques- Concept of MEMS and NEMS, Fabrication

techniques- A brief account, applications of Micro and Nanodevices, Micro fluidic devices

and their Applications; Material aspects for Micro fluidic devices, active and smart passive

Micro fluidics devices, Lab-on-a-chip, Nanomedicine and Drug Delivery, Nanotechnology

in Cancer Therapy and Detection.


1. Kulkarni, S, K. 2014. Nanotechnology- Principles and Practices. 3rd

Edition, Capital

Publishing Company.

2. Vajtai, R 2013. Handbook of Nanomaterials, Springer.

3. Hari Singh Nalwa 2011. Encyclopedia of Nano Science & Nanotechnology. American

Scientific Publishers.

4. Albert Folch (2013) “Introduction to BioMEMS”, CRC Press.

5. Bhushan, Bharat. 2004. Handbook of Nanotechnology. Springer. 6. Booker Richard & Boysen Earl: Nanotechnology.

7. Rao CNR & Govinderaj: Nanotubes & Nanowires.

8. Cammaratra R.C, Edelstein A.S.: Nanomaterials Synthesis, Properties and Applications,

Institute of Physics Publication.

9. Balandin A. A., Wang K. L.: Handbook of Semiconductor Nanostructures and

Nanodevices.

10. Cao, Guozhong, Wang Ying: Nanostructures and Nanomaterials - Synthesis, Properties and

Applications.

Digital Control System



Course Credits: 4.0















Pre-requisite: Control System Engineering.

Objectives:

1. To introduce the components of digital control system.

2. To introduce stability concepts in discrete domain.

3. To educate on tuning of PID controllers in discrete domain.

4. To introduce state variable analysis in discrete domain.

Outcomes:

The students should be able to

1. obtain dynamic responses of linear systems and determine their stability.

2. construct root-locus and Bode plots, and apply Nyquist criterion in the

context of controller design

3. obtain and manipulate state-space representation of dynamical systems using

linear algebra, and

4. become fluent in digital control systems design.

Course Contents

UNIT- I

INTRODUCTION: Introduction to digital control – Sampling Process – Sample

and Hold Circuit – Zero and First Order hold – Z-Transform – Inverse Z-

Transform – Region of convergence – Initial and Final Value Theorem.

UNIT- II

STABILITY: Introduction-Jury Stability Test- Schur-Cohn stability Test-

Bilinear transformation- Stability by Pole Location – Root locus method- Bode

Plot- Nyquist Plot.

UNIT- IV

DIGITAL PID CONTROLLER : Cascade Compensation- Digital Lag Lead

Compensator by Bode method- Design of P,PI and PID Controller- Ziegler’s-

Nichols Method, Cohen-Coon Method

UNIT -V

STATE SPACE ANALYSIS: Realisation of Pulse Transfer Function-

Diagonalisation- discretisation of Continuous time systemsState Transition Matrix-

Solution of Discrete-time state equations- Controllability and Observability.

TEXT BOOKS: 1. V.I.George and C.P.Kurien, Digital Control System, Cengage Learning,

2012.

2. B.C.Kuo, Digital Control System, 2nd Edition, Oxford University Press,

2010.

3. M.Sami Fadali, Antonio Visioli, Digital Control Engineering Analysis and

Design, Academic Press, 2013.

REFERENCES:

1. M.Gopal, ‘Digital Control and State Variable Methods’, Tata McGraw Hill, 3rd

Edition, 2009.

2. C.M. Houpis, G.B.Lamount, ‘ Digital Control Systems- Theory, Hardware,

Software’, International Student Edition, McGraw Hill Book Co., 1985.

3. Kannan M.Moddgalya, Digital Control, Wiley India, 2007.

4. C.L.Philips and J.M.Pan, “Feedback Control System, Pearson, 2013.

Audio and Speech Processing



Course Credits: 4.0

Contact Hours: 4/week, (L-T-P:3-1-0)














Pre-requisite: Signal and System, Digital Signal Processing.

Course Objective:

1. To understand speech production and modeling.

2 To understand linear prediction modeling of non-stationary signals.

3. To understand speech quantization.

4. To learn linear prediction coding and speech coding standards.

Course Outcomes:


1. Learn human auditory system and speech signal modeling.

2. Comprehend linear prediction modeling of non-stationary signals.

3. Understand speech quantization, and utility of various qauntizers.

4. Comprehend structure and limitations of LPC and CELP speech production models.

UNIT-I

Introduction: Speech production and modeling - Human Auditory System; General structure of

speech coders; Classification of speech coding techniques – parametric, waveform and hybrid;

Requirements of speech codecs –quality, coding delays, robustness.

Speech Signal Processing: Pitch-period estimation, all-pole and all-zero filters, convolution;

Power spectral density, periodogram, autoregressive model, autocorrelation estimation.

UNIT-II

Linear Prediction of Speech:Basic concepts of linear prediction; Linear Prediction Analysis of

non-stationary signals –prediction gain, examples; Levinson-Durbin algorithm; Long term and

short-term linear prediction models; Moving average prediction.

UNIT-III

Speech Quantization: Scalar quantization–uniform quantizer, optimum

quantizer,logarithmicquantizer, adaptive quantizer, differential quantizers; Vector quantization –

distortion measures, codebook design, codebook types.

Scalar Quantization of LPC: Spectral distortion measures, Quantization based onreflection

coefficient and log area ratio, bit allocation; Line spectral frequency – LPC to LSF conversions,

quantization based on LSF.

UNIT-IV

Linear Prediction Coding: LPC model of speech production; Structures of LPC encoders and

decoders; Voicing detection; Limitations of the LPC model.

Code Excited Linear Prediction: CELP speech production model; Analysis-by-synthesis;

Generic CELP encoders and decoders; Excitation codebook search – state-save method, zero-

input zerostate method; CELP based on adaptive codebook, Adaptive Codebook search; Low

Delay CELP and algebraic CELP.

Speech Coding Standards-An overview of ITU-T G.726, G.728 and G.729standards.


1. Digital Processing of Speech Signals Pearson Education, L.R. Rabiner and R.W.

Schafer, Delhi, India, 2004.

2. Discrete‐Time Processing of Speech Signals, J. R. Deller, Jr., J. H. L. Hansen and J. G.

Proakis, Wiley‐IEEE Press, NY, USA, 1999.

3. “Digital Speech” by A.M.Kondoz, Second Edition (Wiley Students Edition), 2004.

4. “Speech Coding Algorithms: Foundation and Evolution of Standardized Coders”, W.C. Chu,

WileyInter science, 2003.

Advanced Microprocessors

General Course Information: Course Code: ECE-408-L

Course Credits: 4.0




Course Assessment Methods (internal: 30; external: 70)

Two minor tests each of 20 marks, Class Performance


Assignments (4 marks), and class performance (2 marks), and






setting two questions from each of the four units of the

syllabus. A candidate is required to attempt any other four

questions selecting one from each of the remaining four units.


Pre-requisite: Microprocessor.



1. To introduce with the need of microprocessor. Also explain the history and development

of ARM microprocessor

2. To make the students familiar with ARM processor.

3. To explain the concept and features of basic programming for ARM microprocessor.

4. To familiarize with the memory management


1. Become familiar with importance and applications of advance microprocessor.

2. Understand architecture of ARM processor and instruction set of ARM processor.

3. Be able to write hybrid (assembly & C) program for ARM microprocessor.

4. Be able to interface input/output devices like Keyboard, LED, LCD, sensors with

ARM7TDMI

Course Contents

Unit 1

Introduction: Need of advance microprocessors, Difference between RISC and CISC, RISC

Design philosophy, ARM Design Philosophy, History of ARM microprocessor, ARM

processor family, Development of ARM architecture.

The ARM Architecture and Programmers Model : The Acorn RISC Machine, ARM Core

data flow model, Architectural inheritance, The ARM7TDMI programmer’s model: General

purpose registers, CPSR, SPSR, ARM memory map, data format, load and store architecture,

Core extensions, Architecture revisions, ARM development tools.

Unit 2

ARM Instruction set: Data processing instructions, Arithmetic and logical instructions,

Rotate and barrel shifter, Branch instructions, Load and store instructions, Software interrupt

instructions, Program status register instructions, Conditional execution, Multiple register

load and store instructions, Stack instructions, Thumb instruction set, advantage of thumb

instructions, Assembler rules and directives, Assembly language programs for shifting of

data, factorial calculation, swapping register contents, moving values between integer and

floating point registers.

Unit 3

C Programming for ARM: Overview of C compiler and optimization, Basic C data types,

C Looping structures, Register allocations, function calls, pointer aliasing, structure

arrangement, bit-fields, unaligned data and Endianness, Division, floating point, Inline

functions and inline assembly, Portability issues. C programs for General purpose I/O,

general purpose timer, PWM Modulator, UART, I2C Interface, SPI Interface, ADC, DAC.

Unit 4

Memory management units: Moving from memory protection unit (MPU) to memory

management unit (MMU), Working of virtual memory, Multitasking, Memory organization

in virtual memory system, Page tables, Translation look aside buffer, Caches and write

buffer, Fast context switch extension, Advanced Microprocessor Bus Architecture (AMBA)

Bus System, User peripherals, Exception handling in ARM, ARM optimization techniques.

Reference Books:

1 ARM Assembly Language Programming & Architecture By. Muhammad Ali Mazidi,

Kindle edition

2 Arm Assembly Language, Fundamentals and Techniques, 2nd edition, William Hohl,

Christppher Hinds, CRC Press.

3 Arm System Developer’s Guide, Designing and Optimizing Software, Andrew N. Sloss,

Dominic Symes, Chris Wwight, Elsevier

4 Arm System-on-chip Architecture, 2nd Edition, Steve Furber, Pearson publication.

5 Embedded Systems By. Lyla Das, Pearson publication.

TV & Radio Engineering



Course Credits: 4.0















Pre-requisite: Electronics and Communication Engineering

Course Objectives:

Students will try to learn:

1. To introduce the basics of picture transmission and Reception.

2. To become well conversant with new development in video engineering.

3. To introduce most latest and revolutionary ideas in the field of digital TV, HDTV, WDTV.

4.To introduce about Radio modulation techniques and transmiiter power supplies.

Course Outcomes:

After completion of the course, the student will be able to

1. Understand basic working of Television.

2. Describe and differentiate working principles of latest digital TV, HDTV, WDTV.

3. Understand, use and working principles of latest display like LCD, LED, Plasma and large plat

panel monitors

4. Understand techniques used for radio modulation and transmission of power in Radio.

Course Contents

Unit-1

INTRODUCTION TO TV CAMERAS AND PICTURE TUBES: T.V. systems. Block

diagram of T.V. transmitters. Principles of Monochrome and colour T.V.system (PAL, SECAM,

NTSC). Theory of scanning standards, Composite video signal analysis. T.V Cameras : Image

orthicon, plumbicon, vidicon and CCD camera tubes. Types of Analog Monochrome and colour

picture tubes

Unit-2

TV SIGNAL TRANSMISSION AND PROPAGATION: Processing and transmission of TV

signals: Modulation of video and sound signals, Vestigial side band transmission,

Compatibility of colour and monochrome frequency interleaving & transmission of colour signals,

Picture, sound and colour sub carriers. Encoding picture information. Generation of colour, colour

difference and Chrominance signal modulation.TV transmission & reception antennas.

Unit-3

MONOCHROME TV RECEIVER AND VISION IF SUBSYSTEM: Basic circuits of TV

RECEIVER: Functional block diagram of T.V. receiver, R.F. Tuner, I.F. amplifier, Video

detector, video amplifier, AGC, Synch. Separation, Sync. Processing and AFC. Deflection

oscillators, vertical & horizontal deflection and sound system circuits. EHT generation. Common

faults and their diagnosis. Basic idea of HDTV, DBS-TV and 3D-TV.

Digital transmission and reception of TV signals, DISHTV, DTH and cable TV, transmission of

TV signals through Satellite and Transponders, working principles of HDTV, DBS-TV, IPTV and

3D-TV. Modern TV receiver with LCD, LED and Plasma displays.

Unit-4

INTRODUCTION TO RADIO ENGINEERING: Various types of modulation methods,

transmitter power supplies, principal of antennas, modern communicaation system with

propagation ,oscillators.

Text Books :

1. Monochrome and colour Television , R R Gulathi, Wiley Eastern Ltd. (2007)

2.Radio Engineering: Principles of communication systems by G.K Mithal

References Books :

1. Television Engineering and Video System, R G Gupta, MGH

2. Television and Video Engineering , A M Dhake, MGH

Internet on Things



Course Credits: 4.0

















Pre-requisites: Microprocessor, Computer Networks, Wireless communication

Course Objectives:

1. Vision and Introduction to IoT& Understand IoT Market perspective.

2. Data and Knowledge Management and use of Devices in IoT Technology.

3. Understand State of the Art – IoT Architecture.

4. Real World IoT Design Constraints, Industrial Automation and Commercial Building

Automation in IoT.

Course Outcomes:

1. Understand the vision of IoT from a global context.

2. Studentsdetermine the Market perspective of IoT &Building state of the art architecture

in IoT.

3. Student canUse Devices, Gateways and Data Management in IoT.

4. Application of IoT in Industrial and Commercial Building Automation and Real World

Design Constraints.

Course Contents

UNIT-I

M2M to IoT-The Vision-Introduction, From M2M to IoT, M2M towards, IoT-the global

context, A use case example, Differing Characteristics, M2M to IoT – A Market Perspective–

Introduction, Some Definitions, M2M Value Chains, IoT Value Chains, An emerging industrial

structure, for IoT, The international driven global value chain and globalinformation

monopolies. M2M to IoT-An Architectural Overview–Building architecture, Main design

principles and needed capabilitiesAn IoT architecture outline, standards considerations.

UNIT-II

M2M and IoT Technology Fundamentals- Devices and gateways, Localand wide area

networking, Data management, Business processes in IoT,Everything as a Service(XaaS), M2M

and IoT Analytics, Knowledge Management

UNIT-III

IoT Architecture-State of the Art – Introduction, State of theart, Architecture Reference

Model-Introduction, Reference Model and architecture, IoT reference Model.

UNIT –IV

IoT Reference Architecture- Introduction, Functional View, Information View, Deployment

and Operational View, Other Relevant architectural views. Real-World Design Constraints-

Introduction, Technical Design constraints-hardware is popular again, Data representation and

visualization, Interaction and remote control. Industrial Automation-Service-oriented

architecture-based device integration, SOCRADES: realizing the enterprise integrated Web of

Things, IMC-AESOP: from the Web of Things to the Cloud of Things, Commercial Building

Automation- Introduction, Case study: phase one-commercial building automation today, Case

study: phase two- commercial building automation in the future.

Textbook:

1. Jan Holler, Vlasios Tsiatsis, Catherine Mulligan, Stefan Avesand, Stamatis Karnouskos,

David Boyle, “From Machine-to-Machine to the Internet of Things: Introduction to

a New Age of Intelligence”, 1st Edition, Academic Press, 2014.

Reference Books:

1. Vijay Madisetti and Arshdeep Bahga, “Internet of Things (A Hands-on-

Approach)”, 1stEdition, VPT, 2014.

2. Francis daCosta, “Rethinking the Internet of Things: A Scalable Approach to

Connecting Everything”, 1st Edition, Apress Publications, 2013

Digital Image Processing



Course Credits: 4.0

Contact Hours: 4/week,

(L-T-P: 3-1-0)





through percentage of lectures attended (4 marks), Assignments (4

marks), and class performance (2 marks), and end semester









Pre-requisites: Basics of DSP

Course Objectives: 1. This particular course covers fundamental as well as advanced topics of digital image processing.

2. It makes students aware of Image representation and image storage.enhancement, restoration,

compression, segmentation and other image processing techniques.

3. To introduce students with image enhancement andimage restoration techniques.

4. To introduce students with image compression, segmentation and other image processing

techniques.

Course Outcomes:

1. Students will understand image representation and how one can process image for different

applications.

2. Students will be able to choose particular processing techniques based on application

requirement.

3. They will be able to interpret results and image deformations meaningfully.

4. They will get fundamental knowledge of wavelets also.

UNIT I

Review of Digital Image Processing (DIP) Fundamentals and Filtering :Review of DIP basics and

systems, sampling and Quantization, Representation of digital images, spatial and Gray-level resolution,

Relationships between pixels: neighbours of pixel, Adjacency, connectivity, regions, and boundaries,

distance measures, Image operations on a pixel basis.

Intensity Transformations and Spatial Filtering: Intensity Transformation Functions: Image negatives,

log transformations, Power-Law (Gamma) transformations, piecewise –Linear Transformation functions;

Histogram Processing: Histogram Equalization, Histogram Matching (Specifications), Local Histogram

Processing, Using Histogram Statistics for Image Enhancement, spatial filtering: Spatial Correlation and

Convolution, Vector Representation of Linear filtering, Generating Spatial Filter Masks, Smoothing

Spatial Filters: Smoothing Linear Filters, Order Statistics (Nonlinear) Filters; Sharpening Spatial Filters:

Using the second derivative for Image Sharpening-The Laplacian; Unsharp Masking and Highboost

Filtering.

UNIT II

Image Filtering in Frequency Domain: Relationship between the sampling and Frequency intervals, 2-

D Impulse and shifting Properties, 2-D Sampling & 2-D Sampling Theorem, Aliasing in Images, 2-D

Discrete-Fourier Transform and its Inverse, Properties of 2-D DFT, Additional Characteristics & Filtering

Fundamentals in the frequency domain, correspondence between filtering in the spatial and frequency

domains; Smoothing frequency domain filters: Ideal Lowpass Filters, Butterworth Lowpass Filters,

Gaussian Lowpass Filters; sharpening frequency domain filters: Ideal Highpass Filters, Butterworth

Highpass Filters, Gaussian Highpass Filters, Lapalacian in Frequency Domain; Unsharp Masking,

Highboost Filtering, and High Frequency Emphasis Filtering, Homomorphic filtering, Implementation of

DFT: computing 2-D DFT using 1-D DFT Algorithm, Computing IDFT using DFT Algorithm.

Wavelets and MultiResolution Processing: Introduction, Multiresolution Expansions, Wavelet

Transforms in One Dimension: Wavelet Series Expansion, Discrete Wavelet Transform, Continuous

wavelet transform, The Fast Wavelet Transform, Wavelet Transforms in two Dimensions, Wavelet

Packets.

UNIT III

Image Restoration in presence of Noise only: A model of the image degradation/ restoration process,

Noise models: Spatial and frequency properties of noise, some important noise probability density

functions, Periodic Noise, Estimation of Noise Parameters; Restoration in the presence of noise only

spatial filtering: Mean Filters, Order Statistic Filters, Adaptive Filters; Periodic noise reduction by

frequency domain filtering: Bandreject Filters, Bandpass Filters, Notch Filters

Image Restoration in presence of Degradations: Linear, Position –Invariant Degradations, Estimating

the Degradation Function: Estimation by Image Observation, Estimation by Experimentation, Estimation

by Modeling; Inverse Filtering, Minimum Mean Square Error (Wiener) Filtering

UNIT IV

Image Compression: Fundamentals: Coding Redundancy, Spatial and Temporal Redundancy, Irrelevant

Information, measuring Image Information, Fidelity Criteria, Image Formats, Containers, and

Compression Standards; Basic Compression Methods: Huffman Coding, Arithmatic Coding, LZW

Coding, Run length Coding, Symbol Based Coding, Bit Plane Coding, Block Transform Coding,

Predictive Coding, Wavelet Coding, Digital Image Watermarking.

Image Segmentation: Detection of Discontinuities: Point, Line, and Edge detection, Boundary detection,

Thresholding: Role of Illumination, basic global thresholding, Optimum global thresholding using Otsu’s

method, Using Image Smoothing to improve global thresholding, Using Edges to improve global

thresholding, Multiple thresholds, Variable Thresholding, Multivariable Thresholding, Regional –Based

segmentation: Region growing, region splitting and merging, Segmentation Using Morphological

Watersheds: Background, Dam Construction, Watershed Segmentation Algorithm, Use of Markers, use of

motion in segmentation: Spatial Techniques, Frequency Domain Techniques.

Text Book:

1. Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, Pearson

Reference Books:

1. Anil K Jain, “Fundamentals of Digital Image Processing”, PHI Edition 1997.

2. Keenneth R Castleman, " Digital Image Processing”, Pearson

3. Chanda&Majumder, “Digital Image Processing & Analysis”, PHI

4. M. K. Pakhira, “Digital Image Processing and Pattern Recognition”, PHI.

FPGA Design



Course Credits: 4.0




Course Assessment Methods (internal: 30;

external: 70) Two minor tests each of 20 marks,

Class Performance measured through percentage

of lectures attended (4 marks) Assignments (4

marks) and class performance (2 marks), and end

semester examination of 70 marks.

For the end semester examination, nine questions

are to be set by the examiner. Question number

one will be compulsory and based on the entire

syllabus. It will contain short answers type

questions. Rest of the eight questions is to be

given by setting two questions from each of the

four units of the syllabus. A candidate is

required to attempt any other four questions

selecting one from each of the remaining four


Pre-requisites:Basics of Electronics Engineering, Digital Electronics, VLSI Circuits and

Systems

Course Objectives:

1. To understand the basics of FPGA and evolution of digital ICs.

2. To give knowledge of ICs, FPGA, ASICs.

3. To provide knowledge of FPGA programming.

4. To familiarize students about Verilog HDL and design techniques.

Course outcomes:

1. Will be able to describe the requirements of FPGA implementation.

2. Describe and compare different FPGA/CPLDs.

3. Ability to design FPGA for digital combinational circuits.

4. Will be able to design digital system using Verilog on FPGA.

UNIT-I

Introduction to ASICs and FPGAs, FPGA’s and its Design Flows, Reconfigurable Devices,

FPGA’s/CPLD’s, Fundamentals of digital IC design, FPGA & CPLD Architectures,

Architectures of XILINX, ALTERA Devices, FPGA Programming Technologies

UNIT-II

FPGA Logic Cell Structures, FPGA Programmable Interconnect and I/O Ports, Designing with

FPGAs, Architecture based coding , Efficient resource utilization, Constrains based synthesis

False paths and multi cycle paths, UCF file creation, Timing analysis/Floor Planning, Back

annotation, Gate level simulation, SDF Format, Scripts, industry Standard FPGA Tools

UNIT-III

FPGA Implementation of Combinational Circuits, FPGA implementation of Sequential Circuits,

Timing Issues in FPGA Synchronous Circuits

UNIT-IV

Introduction to Verilog HDL, FPGA design flow with Verilog HDL, FPGA Arithmetic Circuits,

FPGAs in DSP Applications, FPGA Microprocessor design, Design FPGA systems at high-level

TEXT BOOKS:

1. Bob Zeidman, Designing with FPGA and CPLDs, BSP publications @2011.

2. Chan &Murad Digital Design using FPGA, BSP @1994

REFERENCE BOOKS:

1. Wayne Wolf, "FPGA-Based System Design," Prentice Hall, 2004

2. M. D. Ciletti, “Advanced Digital Design with Verilog HDL,” Prentice Hall, 2002

3. Michael Smith, “Application-Specific Integrated Circuits,” Addison-Wesley, 1997

4. Stephen M Trimberger, FPGA Technology, BSP @2015

5. Xilinx User Manuals and Application Notes

6. Brown SD, Francis RJ, Rose J and Vranesic Z G, FPGA BSP @2014

Non- Linear Fiber Optics



Course Credits: 4.0







Assignments (4 marks), and class performance (2 marks), and






setting two questions from each of the four units of the

syllabus. A candidate is required to attempt any other four

questions selecting one from each of the remaining four units.


Pre-requisite: Opto electronics and optical communication

Course Objectives:

1. To provide students with an overview of the concepts and fundamentals non linear fiber

optics.

2. To understand pulse propagation in fibers

3. To explore effects of dispersion, self phase and cross phase modulation on fiber optic

communication.

4. To study non linearity in fiber optic communication through concepts of stimulated

raman scattering, stimulated brillouin scattering and four wave mixing.

Course Outcomes:

After completion of this course students will be able tounderstand:

1. Basic concepts of non linear fiber optics.

2. Non linear pulse propagation.

3. Effects of dispersion, self phase and cross phase modulation on fiber optic communication.

4. concepts of stimulated raman scattering, stimulated brillouin scattering and four wave mixing.

Unit 1

Introduction:Historical Perspective, Fiber characteristics, fiber non linearities

Pulse Propagation in Fibers:Maxwell's Equations, fiber Modes, pulse propagation equation

Unit 2

Group Velocity Dispersion:Different propagation regimes, dispersion induced pulse

broadening, third order dispersion, dispersion management

Self Phase Modulation: SPM induced spectral changes, effect of group velocity dispersion,

higher order non linear effects

Unit 3

Cross Phase Modulation: XPM induced non linear coupling, XPM induced modulation

instability, spectral and temporal effects, applications of XPM

Stimulated Raman Scattering:Basic concepts, quasi-continuous SRS

Unit 4

Stimulated Brillouin Scattering: Basic concepts, quasi-CW SBS, Brillouin fiber amplifiers

Four wave mixing:origin and theory of four wave mixing, phase matching techniques

Text Books:

1. Govind Agrawal,Non Linear Fiber Optics,5th edition, Academic Press, Elsevier

Reference Books:

1. Govind Agrawal, Applications of Non Linear Fiber Optics,Academic Press, Elsevier

Intelligent Instrumentation General Course Information:









marks.









Course Objectives: 1. To introduce students with basic concepts of instrumentation.

2. To introduce students with virtual instrumentation.

3. To introduce with data acquisition methods and PC hardware used in instrumentation.

4. To give basic knowledge of various analysis techniques and communication modes used

in instrumentation.

Course Outcomes: 1. Students will gain fundamental knowledge various sensor based instruments.

2. Student shall know the basics of software based instrumentation.

3. This subject will introduce the students with IO devices being used in instrumentation. 4. Understand various techniques to analyse the acquired data.

Unit I

Background of Instrumentation: Introduction, Classification of Classical Sensors

andTransducers, Self-Generating Transducers, Variable Parameter Transducers,

RadioactiveTransducer, Semiconductor Sensors, Array-Based Sensors, Biosensors.Intelligent

Sensors: Introduction, Classification, Smart Sensors, Cogent Sensors, Soft or Virtual Sensors,

Self Adaptive Sensors, Self-Validating Sensors, VLSI Sensors, TemperatureCompensating

Intelligent Sensors.

Unit II

Virtual Instrumentation:Introduction to graphical programming, dataflow & graphical

programming techniques, advantage of VI techniques, VIsand sub VIs loops and charts, arrays,

clusters and graphs, case and sequencestructure, formula nodes,string and file I/O, Code

Interface Nodes and DLLlinks.

Unit III

Data Acquisition Methods: Analog and Digital IO, Counters, Timers, BasicADC designs,

interfacing methods of DAQ hardware, software structure,use of simple and intermediate Viz.

Use of Data Sockets for Networkedcommunication and controls.

PC Hardware Review and Instrumentation Buses: Structure, timing, interrupts, DMA, operating

system, ISA, PCI, USB, PCMCIA Buses. IEEE488.1 & 488.2 serial Interfacing-RS 232C,RS422,

RS423, RS485, USB, VXI, SCXI, PXI.

Unit IV

Analysis Techniques: DSP software, Measurement,filters and wavelets, windows, curve fitting

probability &statistics.

Communication: Basic networking methods and theirapplications in instrumentation, use of Data

sockets fordistributed control.

Text Books:

1. G.C. Barney," Intelligent instrumentation: microprocessor applications in

measurement and control", Prentice Hall Publication.

2. Jovitha Jerome," Virtual Instrumentation using Lab VIEW", PHI Publication.

Reference Book:

1. Lisa, K.Wells& Jeffery Travis," Lab VIEW For everyone", Prentice Hall, Publication.

2. D. Patranabis, "Principle of Industrial Instrumentation", Tata McGraw Hill Publication.

3. E. O. Doebelin, "Measurement systems", McGraw Hill Publication.

4. P. Chapman, "Smart Sensors", ISA Publication.

Electromechanical Energy Conversion










marks.








Pre-requisites: Electrical technology

Course Objectives: 1. To understand the theoretical concepts of magnetic circuits..

2. To study about the transformer.

3. To understand how DC Motor & DC generator works.

4. To understand how Synchronous & Induction motor works.

Course Outcomes:

1. To understand magnetic circuits & various losses occurred in these circuits.

2. Ability to understand step up or step down the voltages.

3. Ability to understand how motor & generator will works.

4. Ability to understand how induction 7 synchronous motor works.

UNIT- 1

MAGNETIC CIRCUITS AND INDUCTION Magnetic Circuits, Magnetic Materials and their properties, static and dynamic emfs and

force on current carrying conductor, AC operation of Magnetic Circuits, Hysteresis and

Eddy current losses.

PRINCIPLES OF ELECTROMECHANICAL ENERGY CONVERSION: Force and torque in magnetic field system, energy balance, energy and force in singly

excited magnetic field system, concept of co-energy, forces and torques in system with

permanent magnets, dynamic equation.

UNIT-II

TRANSFORMERS : Basic theory, construction , operation at no-load and full-load, equivalent circuit, phasor

diagram, O.C. and S.C. tests for parameters determination, efficiency and regulation, auto-

transformer, introduction to three-phase transformer ; Current and Potential Transformers :

Principle, construction, analysis and applications.

UNIT- III

DC MACHINES :

Basic Theory of DC generator, brief idea of construction, emf equation, load characteristic,

basic theory of DC Motor, concept of back emf, torque and power equations, load

characteristic, starting and speed control of dc motors, applications.

UNIT- IV

INDUCTION MOTOR: Basic theory, construction, Phasor diagram, Equivalent circuit, Torque equation, Load

characteristics, starting and speed control of induction motor, Introduction to single phase

Induction motor and its applications, Fractional H.P. Motors, Introduction to stepper, servo

reluctance and universal motors.

SYNCHRONOUS MACHINES: Construction and basic theory of synchronous generator, emf equation, model of

generator, Phasor diagram, Regulation, Basic theory of synchronous motor, v-curves,

synchronous condenser, applications. TEXT BOOK: 1. Electrical Machines: Nagarath and Kothari; TMH REFERENCE BOOKS: 1. Electrical Machines :P.S. Bimbhra; Khanna

2. Electrical Machines: Mukherjee and Chakravorti; DhanpatRai& Sons

3. Electrical Technology (Vol-II) : B.L Theraja; S. Chand.

OPERATING SYSTEMS










marks.








Pre-requisites: Basic course on Computer Organization, Data Structures and Computer Programming.

Course Objectives:

1. To learn the fundamentals of Operating Systems and mechanisms of OS to handle processes and

threads and their communication .

2. To learn the mechanisms involved in memory management in contemporary OS.

3. To gain knowledge on distributed operating system concepts that includes architecture, Mutual

exclusion algorithms, deadlock detection algorithms and agreement protocols.

4. To learn programmatically to implement simple OS mechanisms.

Course Outcomes:

1. Students will be able to analyze the structure of OS and basic architectural components involved in OS

design.

2. Students will be able to analyze and design the applications to run in parallel either using process or

thread models of different OS.

3. Students will be able to analyze the various device and resource management techniques for

timesharing and distributed systems .

4. Students will be able to understand the Mutual exclusion, Deadlock detection and agreement protocols

of Distributed operating systemand to interpret the mechanisms adopted for file sharing in distributed

Applications.

Course Contents

UNIT- I

OPERATING SYSTEMS OVERVIEW:Computer System Overview-Basic Elements, Instruction

Execution, Interrupts, Memory Hierarchy, Cache Memory, Direct Memory Access, Multiprocessor and

Multicore Organization. Operating system overview-objectives and functions, Evolution of Operating

System.- Computer System Organization- Operating System Structure and Operations- System Calls,

System Programs, OS Generation and System Boot.

UNIT- II

PROCESS MANAGEMENT: Processes-Process Concept, Process Scheduling, Operations on

Processes, InterprocessCommunication; Threads- Overview, Multicore Programming, Multithreading

Models; Windows 7 - Thread and SMP Management. Process Synchronization - Critical Section Problem,

Mutex Locks, Semophores, Monitors; CPU Scheduling and Deadlocks.

UNIT- III

STORAGE MANAGEMENT: Main Memory-Contiguous Memory Allocation, Segmentation, Paging,

32 and 64 bit architecture Examples; Virtual Memory- Demand Paging, Page Replacement, Allocation,

Thrashing; Allocating Kernel Memory, OS Examples.

UNIT- IV

I/O SYSTEMS and CASE STUDY: Mass Storage Structure- Overview, Disk Scheduling and

Management; File System Storage-File Concepts, Directory and Disk Structure, Sharing and Protection,

I/O Systems

Linux System- Basic Concepts;System Administration-Requirements for Linux System

Administrator, Setting up a LINUX Multifunction Server, Domain Name System, Setting Up Local

Network Services; Virtualization- Basic Concepts,VMware on Linux Host and Adding Guest OS.

Textbooks:

1. D.M. Dhamdere,‘Operating Systems: a concept based approach’, Tata McGraw-Hill Pubs., 2nd ed.,

2010.

2. G. Glass, ‘Unix for programmers and users-a complete guide’, Pearson Ed., 3rd ed., 2015.

References:

1. A.Silberschatz& P.B. Galvin, ‘Operating System concepts and principles’, Wiley India, 8th ed., 2009.

2. A.Tanenbaum, ‘Modern Operating Systems’,Prentice Hall India, 2003.

3. W.Stallings, ‘Operating Systems: Internals and design Principles’,Pearson Ed., LPE, 6th Ed., 2009.

4. M.J.Bach, ‘Design of Unix Operating system’,Prentice Hall, 1986.

Industrial Process Control & Instrumentation



Course Credits:4





Two minor tests each of 20 marks, class performance


marks), Assignments (4 marks) and class performance (2

marks) and end semester examination of 70 marks.



compulsory and based on entire syllabus. It will contain






marks.

Pre-requisite: Control System

Course Objectives:

1. To introduce the basic concepts of system response.

2. Toeducate students with various advanced concepts in process control.

3. To give an introduction to control equipments.

4. To give an idea of Programmable Logic Controllers.

Course Outcomes:Upon successful completion of this course, students will be able to:

1. Measure and calculate different process variables.

2. Understand various controllers and also design and simulate the processes.

3. Use various control elements in a process.

4. Understand the concepts of PLCs.

Course Contents

Unit- I

Review of Concepts of System Response and Sensors: Response of first order systems

including transfer function and transient response to different forcing functions; Response of

first order systems in series including non-interacting and interacting systems; Basic concepts

and working principles of sensors and transducers for measuring process variables like

pressure, temperature, level and flow; Electromechanical, capacitive, inductive, resistive and

photoelectric type proximity sensors.

Unit- II

Controller Principles and Loop Characteristics:Process characteristics; Control system

parameters; Discontinuous and Continuous controller modes;Composite control modes;

Analog Controllers: General features, Electronic controllers, Pneumatic controllers; Digital

Controllers: Digital simulation of control systems, Computer software for process control,

Microprocessor based controller;Control system configuration;Multivariable control system;

Control system quality and stability; Process loop tuning.

Unit- III

Control Equipment and Final Control Elements: Details of controllers including

measurement unit, comparator, actuator and final control elements; Pneumatic, hydraulic and

electric actuators; Control valve characteristics; Pneumatic to electric and electric to

pneumatic converters, hydraulic and pneumatic power supply system.

Unit- IV

PLCs and Distributed and Supervisory Controls: Relay controllers and ladder diagrams;

Relay sequences; Programmable Logic Controllers: operation and programming, Introduction

and relevance of distributed control; Hardware components of distributed control;

Introduction and necessity of supervisory control; Master control station and remote terminal

units.

Text Books:

1. Harriott Peter, “Process Control”, Tata McGraw-Hill 2008.

2. Johnson C. D., “Process Control Instrumentation Technology”, 8th Ed., Prentice Hall

of India

Reference Books:

1. Chemsmond C. J., “Basic Control System Technology”, Viva Books 2004.

2. Chemsmond C. J., Wilson and Lepla, “Advanced Control System Technology”, Viva

Books 2004.

3. Coughanowr D. R., “Process Systems Analysis and Control”, 2nd 2008 Ed., McGraw-

Hill International Book Company.

NANO-ELECTRONICS



Course Credits: 4.0

Contact Hours: 4/week, (L-T-P:

3-1-0)






marks), Assignments (4 marks), and class performance (2




compulsory and based on the entire syllabus. It will contain




attempt any other four questions selecting one from each of

the remaining four units. All questions carry equal marks.

Pre-requisites: Physics, Electronics Engineering.


The objectives of this course are to:

1. To introduce the students to nanoelectronics, nanodevices, spintronics and molecular

electronics.

2. To identify quantum mechanics behind nanoelectronics.

3. To describe the principle and the operation of nanoelectronic devices.

4. To explain the principle and application of spintronic devices.

On completion of this module students are expected to be able to:

1. Explain the fundamental science and quantum mechanics behind nanoelectronics.

2. Explain the concepts of a quantum well, quantum transport and tunnelling effects.

3. Differentiate between microelectronics and nanoelectronics.

4. Summarise the applications of nanotechnology and nanoelectronics.

Course Contents

Unit- 1

Introduction to Nanoelectronics, Shrink Down Approaches, CMOS Scaling, the Nanoscale

MOSFET, FINFETs, Vertical MOSFETs, Strained Silicon Technology, Limits to Scaling,

System Integration Limits (Interconnect Issues, etc.)

Resonant Tunneling Diodes, Resonant Tunneling Transistors, MOBILEs (Monostable-Bistable

Transition Logic Elements), Single Electron Transistors, New Storage Devices, SRAM, DRAM,

MRAM (Magnetoresistive RAM), PCRAM (Phase Change RAM), AFM based Mass Storage

(the Millipede Concept), Optoelectronic and Spintronic Devices.

Unit-2

Molecular Electronics (involving single molecules as electronic devices), Transport in Molecular

Structures, Molecular Systems as Alternatives to Conventional Electronics, Molecular

Interconnects. MEMS, FBARs (Film Bulk Acoustic Resonators), Cantilevers.

Carbon Nanotube Electronics: Bandstructure & Transport, Devices (CNTFETs, CNT Logic

Gates, CNT RTL Circuits, CNT SET, CNT RAM, CNT Field Emission Devices), Carbon

Nanotube Interconnects, CNT Heat Sink, Applications. Graphene Based Electronics:

Bandstructure & Transport, Devices (GNR FETs), Applications. Nanowire FETs, Nanowire

Logic Gates.

Unit-3

Nanosensors: Biological and Chemical; Electronic Sensor Arrays, CMOS 3-D Time-of –Flight

Image Sensor, Nanobiomimetic Technologies: Electronic Skin, Electronic Eye, Electronic Nose

(KAMINA), Electronic Tongue; Touchscreens, Robot Tactile Sensors, Fingerprint Sensors,

Liquid Crystal Displays, Organic Electronic Devices: Organic Light Emitting Diodes, Organic

Solar Cells, Organic Thin Film Transistors; Field Emission & Plasma Displays, Electronic Paper.

Unit-4

Neuroelectronic Systems: Iono-electronic Interface, Neuron-Silicon Circuits, Brain-Silicon

chips, Neuroelectronic Processors, Neuroprosthetics, Electrical Dynamics of the Neuron-Chip

Interface on a Nanoscopic Level, Hybrid Systems made of Neuronal Nets and Electronic Devices

on a Microscopic Level, Ionoelectronic Devices, Nerve-based Ionic Processors.

Textbooks:

1. Nanoelectronics and Information Technology Advanced Electronic Materials and Novel

Devices) by Rainer Waser (Wiley-VCH)

2. Nanoelectronics (Principles and Devices, Second Edition) by Mircea Dragoman

(Artech House).

3. Silicon Nanoelectronics by Shunri Oda and David K. Ferry (Taylor & Francis)

4. Molecular Nanoelectronics by Mark A. Reed and Takhee Lee (American Scientific

Publishers)

References:

1. Nanoscale Transistors (Device Physics, Modeling & Simulation) by Mark S.

Lundstrom and Jing Guo (Springer)

2. Fundamentals of Nanoelectronics by George W. Hanson (Pearson).

Satellite Communication










marks.








Pre-requisites: Communication Systems, Antenna and wave Propagation

Course Objectives:

1. To understand the theoretical concepts of Satellite communication.

2. To understand the concepts of signal propagation affects, link design, rain fading and link

budget calculations.

3. To be able to understand satellite orbits and launching.

Course Outcomes:

At the end of this course students will demonstrate the ability to

1. Visualize the architecture of satellite systems as a means of high speed, high range

communication system.

2. State various aspects related to satellite systems such as orbital equations, sub-systems in a

satellite, link budget, and multiple access schemes.

3. Solve numerical problems related to orbital motion and design of link budget for the given

parameters and conditions.

Course Contents

UNIT- I

Introduction to Satellite Communication: Principles and architecture of satellite

Communication, Brief history of Satellite systems, advantages, disadvantages, applications

and frequency bands used for satellite communication.

The Earth Segment: Introduction, Receive-Only Home TV Systems, outdoor unit, indoor

unit for analog (FM), Master Antenna TV System, Community Antenna TV System,

Transmit-Receive Earth Stations

UNIT-II

Space Segment: Introduction, Power Supply, Attitude Control, Station Keeping, Thermal

Control, TT&C Subsystem, Transponders, Antenna Subsystem

The Space Link: Introduction, Equivalent Isotropic Radiated Power, Transmission Losses,

the Link-Power Budget Equation, System Noise, Carrier-to-Noise Ratio, Uplink budget

calculations, Downlink budget calculations, Effects of Rain, Combined Uplink and Downlink

C/NRatio, Inter-modulation Noise, Inter-Satellite Links.

UNIT-III

Orbits and Launching Methods: Introduction, Kepler’s Laws, Definitions of Terms for

Earth-Orbiting Satellites, Orbital Elements, Apogee and Perigee Heights, Orbit Perturbations,

Inclined orbits.

The Geostationary Orbit: Introduction, Antenna Look Angles, The Polar Mount Antenna,

Limits of Visibility, Near Geostationary Orbits, Earth Eclipse of Satellite, Sun Transit

Outage, Launching Orbits

UNIT IV

Satellite Access: Introduction, Pre-assigned FDMA, Demand-Assigned FDMA, Spade

System, TWT Amplifier Operation and FDMA downlink analysis, TDMA, TDMA frame

structure and Reference burst structure burst, Frame efficiency and channel capacity, Pre-

assigned TDMA, Demand-assigned TDMA, Comparison of uplink power requirements for

FDMA and TDMA, On-Board Signal Processing for FDMA/TDM Operation, Satellite-

Switched TDMA, Code-Division Multiple Access.

Text /Reference Books:

1. Dennis Roddy, “Satellite Communication” 4th Edition, McGraw Hill, 2009

2. Timothy Pratt, Charles W. Bostian, Jeremy E. Allnutt “Satellite Communications” Wiley India, 2nd edition 2002

3. Tri T. Ha, “Digital Satellite Communications” Tata McGraw Hill, 2009

4. Dr.D.C. Agarwal, “Satellite Communications” Khanna Publishers, 2001.

Computational Techniques



Course Credits: 4.0






percentage of lectures attended (4 marks) Assignments (4 marks)

and class performance (2 marks), and end semester examination of

70 marks.








Pre-requisites: Mathematics.



1. To make the students familiar with the solution of large system of linear equations.

2. To explain the eigen value problem of a matrix numerically.

3. To explain interpolation in constructing approximate polynomial to represent the data

and to find the intermediate values.

4. To understand numerical differentiation and integration methods.


1. Determine the roots of the nonlinear (algebraic or transcendental) equations, solutions of large system of linear equations.

2. Determine eigen value problem of a matrix can be obtained numerically where analytical methods fail to give solution.

3. Find interpolation in constructing approximate polynomial to represent the data and to find the intermediate values.

4. Apply numerical differentiation and integration method.

Course Contents

UNIT-I

Errors in computation, Review of Taylor Series, Mean Value Theorem, Representation of

numbers (integers and floating point). Loss of significance in computation, Location of Roots

of functions and their minimization: Bisection method (convergence analysis and

implementation), Newton method (convergence analysis and implementation), Secant

method (convergence analysis and implementation). Unconstrained one variable function

minimization by Fibonacci search, Golden section search and Newton’s method. Multivariate

function minimization by the method of steepest descent, Nelder-Mead Algorithm.

UNIT-II

Interpolation and Numerical Differentiation: Interpolating Polynomial, Lagrange form,

Newton form, Nested form, Inverse Interpolation, Neville’s Algorithm, Errors in

Interpolation, Estimating derivatives and Richardson Extrapolation. Numerical Integration:

Definite Integral, Riemann-Integral functions, Trapezoid Rule, Romberg algorithm,

Simpson’s Scheme, Gaussian Quadrature Rule.

UNIT-III

Linear system of equations: Conditioning, Gauss Elimination, Pivoting, Cholesky

Factorization, Iterative methods, Power method approximation by Spline function: 1st and 2

nd

Degree splines, Natural cubic splines, B splines, Interpolation and approximation.

UNIT-IV

Unit 4: Designing with PIC Microcontroller

Differential equations: Euler method, Taylor series method of higher orders, Runge- Kutta

method of order 2 and 4, Runge-Kutta-Fehlberg method, Adas-Bashforth-Moulton Formula.

Solution of Parabolic, Hyperbolic and Elliptic PDEs.


1. D.Kincaid and W. Cheney, “Numerical analysis: Mathematics of Scientific Computing”,

Thomson/Brooks-Cole, 2001.

2. D.Kincaid and W. Cheney, “Numerical analysis: Mathematics of Scientific Computing”, Thomson/Brooks-Cole, 2002.

3. R.L.Burden and J.D.Faires, “Numerical analysis”, Thomson/Brooks-Cole, 2001.

4. W.Y.Yang, W.Cao, T.-S. Chung and J. Morris, “Applied Numerical methods using

MATLAB”, Wiley 2005.

Photonics General Course Information:


Course Credits: 4.0





70) Two minor tests each of 20 marks, Class

Performance measured through percentage of lectures

attended (4 marks) Assignments (4 marks) and class

performance (2 marks), and end semester examination

of 70 marks.

For the end semester examination, nine questions are to

be set by the examiner. Question number one will be



questions is to be given by setting two questions from

each of the four units of the syllabus. A candidate is

required to attempt any other four questions selecting

one from each of the remaining four units. All questions

carry equal marks.

Pre-requisites:Basics of Electronics Engineering, Optical Communications, Circuits and System

Technology

Course Objectives:

1. To understand the basics of Optical networks.

2. To give knowledge of multiplexing techniques.

3. To provide knowledge of optical switching and routing

4. To familiarize students about amplification in optical networks.

Course outcomes:

1. Able to apply multiplexing techniques in optical networks design.

2. Will be able describe and compare networks structures.

3. Ability to design DWDM networks.

4. Will be able to design optical switches.

Unit-I

Introduction: Introduction to basic optical communication & devices, WDM optical Network

evolution.Optical Multiplexing Techniques: Wavelength Division multiplexing, Time division

multiplexing & code division multiplexing.

Unit-II

Optical Networks: Why optical networks? Conventional optical networks, SONET/SDH, FDDI,

Multiple access optical networks, WDM optical networks architectures and issues in wavelength

routed networks, optical LAN.

Unit-III

All Optical Networks: Amplification in all optical networks, all optical subscriber access

networks, Design issues.

Unit-IV

Optical Switching & Routing: Optical switching, example of an optical switch using 2 x 2

coupler, evolution of switching technologies, switching architectures, Micro Electro Mechanical

Systems (MEMS), optical routers, wavelength converters, Add drop multiplexers with & without

wavelength conversions.

Text Books:

1. D.K. Mynbaeu& L. Scheiner, ‘Fiber Optic Communication Technology’, Pearson Edu.

Asia, 2008

2. C. Siva Ram Murthy & M. Gurusamy, ‘WDM Optical Networks’ Pearson Education,

2009

Recommended Books:

1. Uyless Black, ‘Optical Networks’, Pearson Education, 2008

2. RG Gallager& D Bertsekas, ‘Data Networks’, PHI, 2006

MEMS and Nano-technology



Course Credits: 4.0





70) Two minor tests each of 20 marks, Class

Performance measured through percentage of lectures

attended (4 marks) Assignments (4 marks) and class

performance (2 marks), and end semester examination of

70 marks.

For the end semester examination, nine questions are to

be set by the examiner. Question number one will be



questions is to be given by setting two questions from

each of the four units of the syllabus. A candidate is

required to attempt any other four questions selecting

one from each of the remaining four units. All questions

carry equal marks.

Pre-requisites:IC Fabrication and Technology, VLSI Circuits

Course Objectives:

1. To understand the basics of MEMS and evolution of nanotechnology.

2. To give knowledge of processing MEMS materials.

3. To provide knowledge of nano scale manufacturing.

4. To familiarize students about the nano materials and nano measurements techniques.

Course outcomes:

1. Will be able to describe the requirements of MEMS and nanotechnology.

2. Describe and compare different characteristics of MEMS processes.

3. Ability to process MEMS and nano materials.

4. Will be able to evaluate the nanoscale manufacturing unit.

5.

UNIT – I

INTRODUCTION Historical background development of microelectronics, evolution of micro

sensors, MEMS, emergence of micro machines. Micro sensors: Introduction, thermal sensors,

mechanical sensors, flow sensors and Introduction to SAW DEVICES .

UNIT – II

MEMS MATERIALS AND PROCESSING :Overview, metals, semiconductors, ceramic,

polymeric and composite materials, Microstereolithography: Introduction, Scanning Method,

Projection Method, Applications. LIGA Process: Introduction, Basic Process and Application.

MICRO SYSTEM FABRICATION PROCESSES : Photolithography, Chemical Vapor

Deposition, Etching, Bulk and Surface Micro Manufacturing.

UNIT – III

NANO-TECHNOLOGY :Introduction to Nanotechnology, The nanoscale. Consequences of the

nanoscale for technology and society. - Technologies for the Nanoscale, Top-down versus

bottom-up assembly. Visualisation, manipulation and characterisation at the nanoscale, Proximal

probe technologies. Self-assembly.

UNIT – IV

NANO SCALE MANUFACTURING: Nanomanipulation, Nanolithography - An introduction to

tribology and its industrial applications – Nanoscale Materials and Structure, Nanocomposites,

Safety issues with nanoscale powders - Applications, Applications in energy, informatics,

medicine, etc

TEXT BOOKS:

1. Mark Ratner & Daniel Ratner , Nano Technology, Pearson Education,2003.

2. Tai – Ran Hsu, “ MEMS& MICROSYSTEMS Design and Manufacturing”, TATA

McGRAW- HILL, 2002

3. S.M. Sze, Semiconductor Sensors, John Wiley & Sons, INC., 1994.

REFERENCE BOOKS:

1. Marc J. Madou, “Fundamentals of Microfabrication”, II Edition, CRC Press, 2002.

2. Mohamed Gad-el-Hak, The MEMS Handbook, CRC Press, 2002

3. M.Elwenspoek, R.Wiegerink, Mechanical Microsensors, Springer-Verlag Berlin Heidelberg,

2001.

4. David Ferry, Transport in Nanostructures, Cambridge University Press, 2000.

5. S. Datta, Electron Transport in Mesoscopic Systems, Cambridge University Press, 1995.

6. Beenaker and Van Houten, Quantum Transport in Semiconductor Nanostructures, in Solid

State Physics v. 44, eds. Ehernreich and Turnbull, Academic Press, 1991.

7. P. Rai-Choudhury, Handbook of Microlithography, Micromachining &Microfabrication,

SPIE, 1997.

Artificial Intelligence



Course Credits: 4.0

















Pre-requisite:Probability Theory, Mathematics.

Course Objective:

1. To understand concept of artificial Intelligence and its applications.

2 To understand knowledge representation and reasoning.

3. To understand machine learning algorithms.

4. To understand pattern recognition algorithms and their applications.

Course Outcomes:


1. Comprehend utility of artificial intelligence in various applications.

2. Apply HMM and Bayesian networks for knowledge representation and reasoning.

3. Comprehend supervised and unsupervised learning algorithms.

4. Comprehend pattern recognition algorithms and their utility.

Unit-I

Introduction: Introduction to Artificial Intelligence, Foundations and History of

Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of

Intelligent Agents.

Introduction to Search: Searching for solutions, Uniformed search strategies, Informed

search strategies, Local search algorithms and optimistic problems, Adversarial Search, Search

for games, Alpha-Beta pruning.

Unit-II

Knowledge Representation & Reasoning: Propositional logic, Theory of first order

logic, Inference in First order logic, Forward & Backward chaining, Resolution,

Probabilistic reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Networks.

.

Unit-III

Machine Learning: Supervised and unsupervised learning, Decision trees, Statistical

learning models, Learning with complete data - Naive Bayes models, Learning with hidden data

- EM algorithm, Reinforcement learning. .

Unit-IV

Pattern Recognition: Introduction, Design principles of pattern recognition system,

Statistical Pattern recognition, Parameter estimation methods - Principle Component Analysis

(PCA) and Linear Discriminant Analysis (LDA), Classification Techniques – Nearest Neighbor

(NN) Rule, Bayes Classifier, Support Vector Machine (SVM), K – means clustering.


1. Stuart Russell, Peter Norvig, “Artificial Intelligence – A Modern Approach”, Pearson

Education.

2. Elaine Rich and Kevin Knight, “Artificial Intelligence”, McGraw-Hill.

3. E Charniak and D McDermott, “Introduction to Artificial Intelligence”, Pearson Education.

4. Dan W. Patterson, “Artificial Intelligence and Expert Systems”, Prentice Hall of India.

Advanced DSP










marks.








Pre-requisites: Digital Signal Processing

Course Objectives: 1. To understand the theoretical concepts of power spectrum estimation.

2. To understand the concept of optimum filters.

3. To understand the applications and algorithms of adaptive filters.

4. To understand the basics concept of filters, designing of filters, Multi-rate signal

processing and concept of finite word length and DSP processors.

Course Outcomes:

1. Ability to understand power spectrum estimation.

2. Ability to understand the optimum linear filters and their applications.

3. Ability to understand the applications of DSP at block level.

4. Ability to formalize architectural level characterization of DSP Hardware.

UNIT I

Power Spectrum Estimation: Introduction, Performance of Estimators, Non-Parametric

Methods, Parametric Methods, Eigen values and Eigen vectors of the Autocorrelation Matrix,

Eigen analysis algorithms for Spectrum Estimation.

UNIT II

Optimum Linear filters: Introduction, Optimum Signal Estimation, Mean Square Error

Criterion, Finite Impulse Response Wiener Filters, Non-Causal Infinite Impulse Response

Linear Filters, Causal Infinite Impulse Response Wiener Filters, Deconvolution, Channel

Equalization in data transmission systems, Matched filters and Eigen filters.

UNIT III

Adaptive Filters: Applications, Principles of Adaptive filters, Method of Steepest decent,

Least mean square Adaptive Filters, Recursive least square Adaptive filters, RLS algorithms

for array Processing, Fast RLS algorithms for array processing, Performance of Adaptive

Algorithms.

UNIT IV

Digital Signal Processors:Introduction, Evolution of Digital Signal Processors, Digital

Signal Processor Architecture, Digital Signal Processor Hardware Units, Fixed-point and

Floating-point formats, Pipelining, Memory Access, Addressing modes, TMS320 family,

Interfacing.

References:

1. D.G. Manolakis, V.K. Ingle and S.M.Kogon, “Statistical and Adaptive Signal

Processing”, McGraw Hill, 2000.

2. J.G. Proakis and D.G. Manolakis “Digital signal processing: Principles, Algorithm

and Applications”, 4th Edition, Prentice Hall, 2007.

3. S. Haykin, “Adaptive Filter Theory”, 4th Edition, Prentice Hall, 2001.

4. T.K. Rawat, “Digital Signal Processing”, Oxford University Press, 2015.

Verilog HDL










marks.








Pre-requisite: Digital system design.

Course Objectives:

1. To provide students with an overview of the concepts and fundamentals of Verilog HDL

2. To understand dataflow and behavioral modeling

3. To design digital circuits using Verilog

4. To know logic synthesis and verification techniques

Course Outcomes:


1. understandconcepts and fundamentals of Verilog HDL

2. understand dataflow and behavioral modeling

3. design digital circuits using Verilog

4. know logic synthesis and verification techniques

Unit 1

Overview of digital design with verilog HDL:Computer aided digital design, HDLs, design

flow.HierarchialModelling Concepts:Design methodologies, modules, instances, simulation

components.

Basic Concepts:Lexical conventions, data types, system tasks and compiler directives

Modules and Ports:modules, ports, hierarchical names

Unit 2

Gate level modeling:Gate types, gate delays

Dataflow modeling: Continuous assignments, delays, operator types

Behavioral modeling: Structured procedures, procedural assignments, timing controls,

conditional statements, multiway branching, loops, sequential and parallel blocks, generate

blocks.

Unit 3

Combinational circuits design: wires, Gate logic, hierarchical structures

sequential circuits design: Basic memory components, Registers, counters, State machines,

traffic signal controller

Tasks and functions:Differences between task and functions, tasks, asymmetric sequence

generator, automatic tasks, automatic functions, constant and signed functions, parity calculation,

left/right shifter.

Unit 4

Logic Synthesis with verilog HDL: verilog HDL synthesis, synthesis design flow, verification

of gate level netlist, sequential circuit synthesis

Advanced verification techniques: Traditional verification flow, assertion checking, formal

verification Component test and verification: testbench, testbench techniques, assertion

verification, Switch level modeling.

Text Books:

1. Samir Palnitkar,Verilog HDL A guide to digital design and synthesis,2nd edition,Pearson

2. ZainalabedinNavabi, Verilog digital system design,2nd edition, McGraw Hill

Reference Books:

1. J.Bhaskar, Verilog HDLsynthesis,BS Publications

Fuzzy Logic & ANN










marks.









Course Objectives: 1. To understand architecture and Taxonomy of Neural Networks.

2. To understand the basic concepts, Operations and Principles of Fuzzy Logic.

3. To understand the Operations and Principles of FuzzyLogic, applications of various

Fuzzy Logic systems.

4. To introduce students with fuzzy neural networks.

Course Outcomes: 1. Students will gain fundamental knowledge about artificial neural system.

2. Student shall know different learning techniques of ANN and applications of ANN.

3. This subject will introduce the students with Fuzzy logic and designing of fuzzy systems.

4. Understand concept of fuzzy neural networks and designing of fuzzy neural systems.

Unit I

Introduction:Neural networks characteristics, History of development in neural networks

principles, Artificial neural net terminology, Model of a neuron, Topology.

Learning Methods & Neural network models: Types of learning, Supervised, Unsupervised,

Re-inforcement learning, Knowledge representation and acquisition, Basic Hop field model,

Basic learning laws, Unsupervised learning, Competitive learning, K-means clustering

algorithm, Kohonen`s feature maps.

Unit II

Artificial Neural Networks: Radial basis function neural networks, Basic learning laws in RBF

nets, Recurrent back propagation. Introduction to counter propagation networks, CMAC

network, and ART networks.

Applications of neural nets: Applications such as pattern recognition, Pattern mapping,

Associative memories, speech and decision-making..

Unit III

Fuzzy Logic:Basic concepts in Fuzzy Set theory, Fuzzy vs. Crisp set, Linguistic variables,

Membership functions, Fuzzy sets & Operations of Fuzzy sets, Propositional, Predicate Logic,

Fuzzy IF- THEN rules, Variable inference techniques, Basic fuzzy inference algorithm, Fuzzy

Rule based systems, Fuzzification and defuzzification – Types.

Unit IV

Fuzzy logic controllers:Principles, Adaptive Fuzzy systems, Fuzzy Decision making, Fuzzy

classification, Fuzzy optimization, Various industrial Applications of Fuzzy logic control.

Fuzzy neural networks: Introduction, Fuzzy competitive learning, Fuzzy Min-Max networks,

Fuzzy neurons, Fuzzy neural control systems of: a car,an incineration plant, tank level.

Text Books:

1. B. Yegnanarayana, " Artificial Neural Networks”PHI

2. J.M. Zurada, “Introduction to artificial neural systems”, Jaico Pub.

3. ROSS J.T , “Fuzzy logic with engineering application”, TMH

4. Ahmad M.Ibrahim, “Introduction to applied Fuzzy Electronics”, (PHI)

Reference Books:

1. Simon Haykin, “Neural Networks”, PHI

2. P.D. wasserman , “Neural computing theory & practice”, (ANZA PUB).

3. S. Rajasekaran, GA VijayalakshmiPai, “Neural Networks, Fuzzy Logic and Genetic

Algorithms”, Prentice Hall of India Private Limited, 2003.

4. Klir, G.J. Yuan Bo, “Fuzzy sets and Fuzzy Logic: Theory and Applications”, Prentice Hall

ofIndia Pvt. Ltd., 2005.

PERSONAL COMMUNICATION SYSTEMS










marks.








Pre requisites: Basics of cellular systems, antennas & satellite communication.

Course Objectives:

1. To develop High levels of technical competence in the field of personal communication

system.

2. Be able to apply problem solving approaches to work challenges of personal communication

systems.

3. Be able to apply a systematic design approach to engineering projects and have strong

research and design skills in the domain of personal communication system.

Course Outcomes:

On successful completion of this course, students will be able to:

1. Explain the principles, concepts and operation of wireless and personal communication

systems

2. Describe the concepts of wireless channels, analyse and design cellular wireless links, and

coverage analysis.

3. Understand the applications of different kinds of antennas in personal communication systems.

4. Explain the working and principles of satellite based cell phone systems.

Unit 1

Introduction: Introduction to Personal communication Systems(PCS), New wireless

technology, PCS, Unlicensed PCS (UPCS )devices, UPCS applications, LANs using UPCS

band.

Unit 2

Cellular based PCS:Cellular spectrum efficiency, micro cell design in PCS environment,

Adaptive mobile network, WLAN technology and standardization, future cellular speech

encoding.

Unit 3

Antennas for PCS: Antennas and power for mobile PCS system, multiband mobile antennas,

PCS channel propagation in maritime environments.

Unit 4

Satellite based cell phones: Satellite based mobile communication systems, LEO systems, LEO

signal processing design for TELSTAR I satellite, mobile cellular CDMA application and

implementation, CDMA in mobile satellite service.

Text Books:

1. Personal Communications Systems Applications: FRED J RICCI, Prentice Hall PTR, 1997

2. Mobile Satellite Communication Networks – RE SHERIFF, YF HU, John Wiley, 2001

3. Wireless and Cellular telecommunications, 3/e, WILLIAM CY LEE, MGH, 2006.

Major Project



Course Credits: 9.0

Type: Compulsory


week (L-T-P: 0-0-18)

Mode: Practical


The project should be initiated by the student in continuation of the 7th semester

and will be evaluated at the end of the 8th semester on the basis of its

implementation (software/hardware), presentation delivered, viva-voce and

report.

A viva of the students will be taken by external examiner (Principal/ Director/

Professor/or any senior Person with experience more than 10 years) at the end

of the semester

Objectives:

1. To introduce the students to various emerging fields in Electrical Engineering.

2. To provide an opportunity to exercise the creative and innovative qualities in group project

environment.

3. To excite the imagination of aspiring engineers, innovators and technopreneurs.

4. To have hands-on experience in the student’s interest field so that they can relate and reinforce

what has been taught in the classroom.

Course Outcomes:

1. Exhibit the strength and grip on the fundamentals of the subjects studied during the course.

2. An ability to utilize technical resources, analyze and identify appropriate design

methodologies.

3. An ability to write technical documents and give oral presentation related to work completed.

4. Acquire communication skills and improve their leadership quality as well as the ability to

work in groups.

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