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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
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 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
General Course Information:
Course Code: ECE-203-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
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 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
General Course Information:
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 Code: ECE-205-L
Course Credits: 3
Contact Hours: 4/week, (L-T-P: 3-0-0)
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
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.
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
General Course Information:
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 Code: ECE-207-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
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.
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
General Course Information:
Course Code: ECE-209-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 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.
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 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 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
General Course Information:
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
General Course Information:
Course Code: ECE-207-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 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
General Course Information:
Course Code: ECE-209-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)
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. \
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 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
General Course Information:
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 Code: ECE-202-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
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.
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
General Course Information:
Course Code: ECE-204-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 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
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
General Course Information:
Course Code: ECE-206-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
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 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
General Course Information:
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 electro- magnetic 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 Code: ECE-208-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
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.
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
General Course Information:
Course Code: ECE-210-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
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: 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.
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 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 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: 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
General Course Information:
Course Code: ECE-202-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 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
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.
ANALOG COMMUNICATION LAB
General Course Information:
Course Code: ECE-204-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 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
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.
ANALOG ELECTRONICS - II LAB
General Course Information:
Course Code: ECE-206-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 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
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.
CONTROL SYSTEM ENGINEERING LAB
General Course Information:
Course Code: ECE-210-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 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
Examination Duration: 03 hours
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
General Course Information:
Course Code: ECE-301-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 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:
The main objectives of this course are:
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.
By the end of the course a student is expected to:
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
General Course Information:
Course Code: ECE-303-L
Course Credits: 3.5
Contact Hours: 4.0 hours/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) Assignment and quiz (6
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: 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
General Course Information:
Course Code: ECE-305-L
Course Credits: 3.5
Contact Hours: 4.0 hours/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) Assignment
and quiz (6 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: 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
General Course Information:
Course Code: ECE-307-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 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.
Course Objectives & Outcomes:
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
By the end of the course a student is expected to:
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
General Course Information:
Course Code: ECE-309-L
Course Credits: 3.5
Contact Hours: 4.0 hours/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) Assignment and quiz (6
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: 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
General Course Information:
Course Code: ECE-301-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 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
General Course Information:
Course Code: ECE-305-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)
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
General Course Information:
Course Code: ECE-307-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 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
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.
Practical Training-I
General Course Information:
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
General Course Information:
Course Code: ECE-302-L
Course Credits: 3.5
Contact Hours: 4.0 hours/week
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) Assignment and quiz (6
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 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
General Course Information:
Course Code: ECE-304-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) Assignment and quiz (6
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-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
General Course Information:
Course Code: ECE-306-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 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: Microprocessor, Digital Electronics
Course Objectives & Outcomes:
The mainobjectives of this course are:
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.
By the end of the course a student is expected to:
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
General Course Information:
Course Code: ECE-308-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 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 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:
Course Code: ECE-304-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)
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 .
LIST OF EXPERIMENTS:
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
signal voltage versus time and output signal voltage versus time.
12. Design and simulate PSpice model of inverting comparator and obtain plots of input
signal voltage versus time and output signal voltage versus time.
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
General Course Information:
Course Code: ECE-306-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 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
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 SYSTEM DESIGN LAB
General Course Information:
Course Code: ECE-308-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)
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
General Course Information:
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
General Course Information:
Course Code: ECE-312-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 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 units. All questions carry equal
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)
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
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 questions carry equal marks.
Pre-requisites: Basics of Electronics
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
General Course Information:
Course Code: ECE-316-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 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-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
General Course Information:
Course Code: ECE-318-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
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
General Course Information:
Course code:ECE-320-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
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
questions carry equal marks.
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
General Course Information:
Course Code: ECE-401-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
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.
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
General Course Information:
Course Code: ECE-401-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 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.
LIST OF EXPERIMENTS:
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
General Course Information:
Course Code: ECE-403-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
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-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:
After completion of this course students will be able to:
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
Wireless Communication
General Course Information:
Course Code: ECE-405-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 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.
Course Objectives & Outcomes:
The main objectives of this course are:
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.
By the end of the course a student is expected to:
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
General Course Information:
Course Code: ECE-401-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 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.
LIST OF EXPERIMENTS:
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
General Course Information:
Course Code: ECE -407-P
Course Credits: 2.0
Type: Compulsory
Contact Hours: 6 hours per
week (L-T-P: 0-0-6)
Mode: Practical
Course Assessment Methods (External: 100)
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
General Course Information:
Course Code: EE -409-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)
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 Code: ECE -415-P
Course Credits: 1.0
Type: Compulsory
Contact Hours: 00 hours per
week (L-T-P: 0-0-0)
Mode: Practical
Course Assessment Methods (External: 100)
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:
By the end of the course a student is expected to:
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 Code: ECE-417-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 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 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
General Course Information:
Course Code: ECE-419-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
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 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
General Course Information:
Course Code: ECE-421-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
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-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:
After completion of the course, the student is able to
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
General Course Information:
Course Code: ECE-406-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
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-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:
After completion of the course, the student is able to
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.
Text/Reference Books:
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
General Course Information:
Course Code: ECE-438-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 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-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:
After completion of the course, the student is able to
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.
Text/Reference Books:
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
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
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.
Course Objectives & Outcomes:
The mainobjectives of this course are:
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.
By the end of the course a student is expected to:
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
General Course Information:
Course code:ECE-425-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 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 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
General Course Information:
Pre-requisites: Physics, Chemistry, Basics of Electronics Engineering.
Course Objectives & Outcomes:
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 Code: ECE-402-L
Course Credits: 4.0
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
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.
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.
Text and Reference Books:
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
General Course Information:
Course Code: ECE-404-L
Course Credits: 4.0
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
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-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
General Course Information:
Course Code: ECE-406-L
Course Credits: 4.0
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
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-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:
After completion of the course, the student is able to
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.
Text/Reference Books:
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
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 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-requisite: Microprocessor.
Course Objectives & Outcomes:
The mainobjectives of this course are:
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
By the end of the course a student is expected to:
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
General Course Information:
Course Code: ECE-410-L
Course Credits: 4.0
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
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-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
General Course Information:
Course Code: ECE-412-L
Course Credits: 4.0
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 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: 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
General Course Information:
Course Code: ECE-414-L
Course Credits: 4.0
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 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 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
General Course Information:
Course Code: ECE-416-L
Course Credits: 4.0
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 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
units. All questions carry equal marks.
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
General Course Information:
Course Code: ECE-418-L
Course Credits: 4.0
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 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-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:
Course Code: ECE-420-L Course Credits: 4.0
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
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 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
General Course Information:
Course Code: ECE-422-L Course Credits: 4.0
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
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: 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
General Course Information:
Course Code: ECE-424-L Course Credits: 4.0
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
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 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
General Course Information:
Course code:ECE-426-L
Course Credits:4
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 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 questions carry equal
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
General Course Information:
Course Code: ECE-428-L
Course Credits: 4.0
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 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: Physics, Electronics Engineering.
Course Objectives & Outcomes:
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
General Course Information:
Course Code: ECE-430-L Course Credits: 4.0
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
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: 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
General Course Information:
Course Code: ECE-432-L
Course Credits: 4.0
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 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: Mathematics.
Course Objectives & Outcomes:
The mainobjectives of this course are:
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.
By the end of the course a student is expected to:
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.
Text and Reference Books:
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 Code: ECE-434-L
Course Credits: 4.0
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 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 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
General Course Information:
Course Code: ECE-436-L
Course Credits: 4.0
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 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 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
General Course Information:
Course Code: ECE-438-L
Course Credits: 4.0
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 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-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:
After completion of the course, the student is able to
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.
Text/Reference Books:
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
General Course Information:
Course Code: ECE-440-L Course Credits: 4.0
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
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: 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
General Course Information:
Course Code: ECE-442-L Course Credits: 4.0
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
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-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:
After completion of this course students will be able to:
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
General Course Information:
Course Code: ECE-444-L Course Credits: 4.0
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
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 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
General Course Information:
Course Code: ECE-446-L Course Credits: 4.0
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
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 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
General Course Information:
Course Code: ECE -450-P
Course Credits: 9.0
Type: Compulsory
Contact Hours: 18 hours per
week (L-T-P: 0-0-18)
Mode: Practical
Course Assessment Methods (External: 100)
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.