M. Tech in Electronics and Communication Engineeringeng.bangaloreuniversity.ac.in/wp-content/uploads/2018/12/CBCS-Syllabus... · UVCE, KR Circle, Bangalore to approve the scheme and

BANGALORE UNIVERSITY

Department of Electronics and Communication Engineering

UNIVERSITY VISVESVARAYA COLLEGE OF ENGINEERING

K R Circle, Bengaluru-560 001.

Choice Based Credit System (CBCS)-2018

M. Tech in Electronics and Communication Engineering

1


Department of Electronics and Communication Engineering

UNIVERSITY VISVESVARAYA COLLEGE OF ENGINEERING K R Circle, Bengaluru – 560 001.

VISION

“To strive for academic excellence in the field of Electronics and Communication

Engineering through knowledge assimilation, creation and dissemination to augment

human resource capital.”

MISSION

Impart quality education and skills through state of the art curriculum and

facilities to produce intellectual minds for advance in frontiers of Electronics and

Communication Engineering.

To pursue academic excellence through high quality teaching, research and

innovation.

To inculcate the values of academic integrity and accountability.

2

Bangalore University

University Visvesvaraya College of Engineering, Bangalore.

Department of Studies in Electronics & Communication Engineering

Date: 22-09-2018

Proceedings of BOS meeting

The BOS meeting was held on 06/09/18 at 11 AM in the chambers of chairman, Department of ECE,

UVCE, KR Circle, Bangalore to approve the scheme and syllabus of M Tech under CBCS scheme from

the academic year 2018-19.

The following members attended the meeting

1. Dr. K B Raja

2. Dr. M L Sudheer

3. Dr. Narendra Kumar G

4. Dr. K Suresh Babu

5. Dr. A Sreenivasa Murthy

6. Dr. P Deepa Shenoy

7. Dr. Prashanth C R

Member Absent

1. Dr. Mallikarjun S Holi

The chairman welcomed the members and placed M Tech CBCS scheme and syllabus for the

academic year 2018-19 for approval. The members approved the scheme of I, II, III and IV semester M

Tech CBCS with minor changes by replacing (i) CMOS Analog VLSI design of I semester and (ii) Low

power VLSI of II semester by (i) Microwave devices and applications I semester and (ii) VLSI system

design II semester respectively. The members suggested to take approval of Advanced Mathematics for

communication syllabus of I semester from Department of Mathematics, Bangalore University,

Bangalore. The same is approved by Mathematics department with minor changes on 10th September

2018.

The following members expressed their opinion to change the title of M Tech course from

“Electronics and Communication” to “Communication Engineering”

(i) Prof G Narendra Kumar expressed to change.

(ii) Prof A Sreenivasa Murthy expressed his no objection for either of nomenclature.

(iii) Prof K Suresh Babu expressed to keep Electronics and Communication Engineering. The

members Dr K B Raja, Dr P Deepa Shenoy and Dr Prashanth C R endorsed the same.

(iv) Dr M L Sudheer suggested to change the nomenclature to either Electronics or

Communications Engineering

Based on the majority of opinion, it is resolved to keep the nomenclature of M Tech course in

“Electronics & Communication Engineering”.

3

BANGALORE UNIVERSITY UNIVERSITY VISVESVARAYA COLLEGE OF ENGINEERING

K R Circle, Bengaluru – 560 001.

University Visvesvaraya College of Engineering (UVCE) was started as a School of Mechanical

Engineering by Bharat Ratna Sir. M. Visvesvaraya in the year 1913 to meet the needs of the State for

skilled workers with S V Setty as its Superintendent. Later, it was converted to a full-fledged

Engineering College in the year 1917 under the name Government Engineering College and was

affiliated to the University of Mysore. It is the fifth Engineering College to be established in the

country.

After the formation of Bangalore University in 1964, UVCE became one of the Constituent

Colleges of Bangalore University. This is one of the oldest Institutions in the country imparting

technical education leading to B.E., M.E, B.Arch., M.Sc. (Engineering), M. Arch. and Ph.D. degrees

in various disciplines of Engineering and Architecture. The Institution currently offers 7

Undergraduate (B.E. / B.Arch.) Full-time, three Undergraduate (B.E.) Part-time and 24 Postgraduate

(M.E. / M. Arch.) Programmes.

VISION

The vision of UVCE is to strive for excellence in advancing engineering education through path

breaking innovations across the frontiers of human knowledge to realize a vibrant, inclusive and

humane society.

MISSION

The mission of UVCE is to prepare human resource and global leaders to achieve the above vision

through discovery, invention and develop friendly technologies to promote scientific temper for a

healthy society. UVCE shapes Engineers to respond competently and confidently to the economic,

social and organizational challenges arising from globally advancing technical needs.

4

Bangalore University Bengaluru

Department of Electronics and Communication Engineering, UVCE, Bengaluru

M. Tech. DEGREE IN ELECTRONICS AND COMMUNICATION ENGINEERING

under CBCS Scheme - 2K18

Vision of the Department

To strive for academic excellence in the field of Electronics and Communication

Engineering through knowledge assimilation, creation and dissemination to augment

human resource capital.

Mission of the Department

ECM1. Impart quality education and skills through state of the art curriculum and

facilities to produce intellectual minds for advance in frontiers of Electronics and


ECM2. To pursue academic excellence through high quality teaching, research and

innovation.

ECM3. To inculcate the values of academic integrity and accountability.

Program Educational Objectives (PEO)

After successful completion of the program, the graduates will be

ECPEO 1: Able to apply concepts of mathematical foundation to Electronics and


ECPEO 2: Able to design and develop interdisciplinary and innovative electronic

systems.

ECPEO 3: Able to inculcate effective communication skills, team work, ethics,

leadership in preparation for a successful career in industry and R&D organizations.

Program Outcomes:

ECPO1: An ability to independently carry out research/investigate and development

work to solve real time problems.

ECPO2: An ability to write and present a substantial technical report/document.

ECPO3: Students should be able to demonstrate a degree of mastery in Electronics and

Communication Engineering

5

BANGALORE UNIVERSITY SCHEME OF STUDIES AND EXAMINATION FOR 24MONTHS COURSE FOR THE AWARD OF

M.Tech Degree in Electronics and Communication Engineering under CBCS -2K18 Scheme

MAJOR: ELECTRONICS AND COMMUNICATION ENGINEERING

Semester I

*SEE shall be conducted for 100 marks and the marks obtained to be reduced for 50 marks.

Sl

no

Course Type/

Course Code

Course Name

Teaching scheme

Hrs/Week Teaching

Department

Total

Hrs/week

CIE

Marks

*SEE

Marks Credits

L T P S

1 18EC1C01 Advanced Mathematics for Communication 4 0 0 0 ECE 4 50 50 4

2 18EC1C02 Stochastic Processes 4 0 0 0 ECE 4 50 50 4

3 18EC1C03 Mobile Communication and Networks 4 0 0 0 ECE 4 50 50 4

4 1 18EC1E1A Advanced Signal Processing and Applications 4 0 0 0 ECE

4 50 50 4 2 18EC1E1B Advanced Communication Systems 4 0 0 0 ECE

3 18EC1E1C Microwave Devices and Applications 4 0 0 0 ECE

5 1 18EC1E2A Digital Control Engineering 4 0 0 0 ECE

4 50 50 4 2 18EC1E2B Advanced Embedded Systems 4 0 0 0 ECE

3 18EC1E2C DSP Algorithms and Architecture 4 0 0 0 ECE

6 18EC1L01 Advanced Communication Lab 0 0 4 0 ECE 4 50 50 2

7 18EC1M01 Research Methodology and IPR 2 0 0 0 ECE 2 50 50 2

8 18EC1S01 Seminar I 0 0 2 0 ECE 2 50 -- 1

9 18EC1M02 Audit subject (Technical Paper Writing) 2 0 0 0 ECE 2 50 -- 1

Total 24 -- 06 -- 30 450 350 26

6




Semester II


Sl.

No.

Course Type/

Course Code Course Name

Teaching scheme

Hrs/Week Teaching

Department

Total

Hrs/week

CIE

Marks

*SEE

Marks Credits

L T P S

1 18EC2C01 Information Theory 4 0 0 0 ECE 4 50 50 4

2 18EC2C02 Optical Fibre Communication and Networks 4 0 0 0 ECE 4 50 50 4

3 18EC2C03 Advanced Digital Communication 4 0 0 0 ECE 4 50 50 4

4 1 18EC2E1A Digital Image and Video processing 4 0 0 0 ECE

4

50

50

4 2 18EC2E1B Satellite Communication 4 0 0 0 ECE

3 18EC2E1C Wireless Sensor Networks 4 0 0 0 ECE

5 1 18EC2E2A Communication Network Security 4 0 0 0 ECE

4

50

50

4 2 18EC2E2B Antenna Theory and Design 4 0 0 0 ECE

3 18EC2E2C VLSI System Design 4 0 0 0 ECE

6 18EC2L01 Optical Fibre and Communication Lab 0 0 4 0 ECE 4 50 50 2

7 18EC2S01 Seminar II 0 0 2 0 ECE 2 50 -- 1

8 18EC2M01 Audit subject (Constitution of India) 2 0 0 0 ECE 2 50 -- 1

Total 22 -- 06 -- 28 400 300 24

7


SCHEME OF STUDIES AND EXAMINATION FOR 24MONTHS COURSE FOR THE AWARD OF

M. Tech Degree in Electronics and Communication Engineering under CBCS -2K18 Scheme Semester III: MAJOR: ELECTRONICS AND COMMUNICATION ENGINEERING


Open Electives Teaching Department 1 18EC3P1A Reliability and Engineering ECE

2 18EC3P1B M-Commerce and Applications ECE

3 18EC3P1C Optimization Techniques ECE

4 18CS3P1A Artificial Intelligence CSE

5 18CS3P1B Business Analysis CSE

6 18CS3P1C Simulation and Modelling CSE

7 18CV3P1A National Building Codes CV

8 18CV3P1B Water level, Rights and Administration CV

9 18CV3P1C Solid Waste Management CV

10 18ME3P1A Composite and Smart Materials ME

11 18ME3P1B Industrial safety ME

12 18EE3P1A Real Time Embedded Systems EEE

13 18EE3P1B Robotics and Automation EEE

Sl.

No.

Course Type/

Course Code Course Name

Teaching scheme

Hrs/Week Teaching

Department

Total

Hrs/week

CIE

Marks

*SEE

Marks Credits

L T P S

1 1 18EC3E1A EMC of Electronics and Electrical Equipment 4 0 0 0 ECE

4

50 50 4

2 18EC3E1B Pattern Recognition and Machine Learning 4 0 0 0 ECE

3 18EC3E1C Speech Processing 4 0 0 0 ECE

2 Open Elective 4 0 0 0 -- 4 50 50 4

3 18EC3I01 Mini Project/Internship 0 0 10 0 ECE 10 50 50 5

4 18EC3S01 Seminar III 0 0 2 0 ECE 2 50 -- 1

5 18EC3D01 Dissertation Phase -I 0 0 10 0 ECE 10 50 50 5

Total 08 -- 22 -- 30 250 200 19

8




Semester IV

*CIE shall be conducted for 100 marks and the marks obtained to be reduced for 50 marks.


Sl.

No.

Course Type/

Course Code

Course Name

Teaching scheme

Hrs/Week Teaching

Department

Total

Hrs/week

*CIE

Marks

*SEE

Marks Credits

L T P S

1 18EC4S01 Seminar IV 0 0 2 0 ECE 2 50 -- 1

2 18EC4D01 Dissertation Phase -II -- -- 30 -- ECE 30 50 50 15

Total 0 -- 32 -- 32 100 50 16

1 18ECMOOC MOOC Course -- -- -- -- 03

Grand Total of Credits -- -- -- -- 88

COURSE TYPE EC: ELECTRONICS AND COMMUNICATION C: PROFESSIONAL CORE E: PROFESSIONAL ELECTIVE

P: OPEN ELECTIVE M: MANDATORY L: LABORATORY

S: SEMINAR I: INTERNSHIP/MINI PROJECT D: DISSERTATION PHASE

L: THEORY LECTURE T: TUTORIAL P: PRACTICAL LAB WORK

S: SELF STUDY

9

COURSE OBJECTIVES:

1. To understand the basics and elementary operations of matrices.

2. To understand the concepts of vector spaces and solve engineering problems based on

vector spaces.

3. To study Linear transformation and its applications.

4. To understand Eigen values and Eigen vectors and its forms.

5. To study various Canonical and Bilinear forms.

Unit – I

Vector Spaces: Introduction to vector Space, Subspaces, Column space and row space, Linear

dependence, Independence, Spanning, Basis, and Dimension, the Four Fundamental

Subspaces, Graphs and Networks. 8 Hrs

Unit - II

Matrices Analysis: Introduction to matrix and equation systems, symmetric matrix and

transpose, Echelon form and Rank of a matrix, Row permutation, Inverse of a matrix: Gauss

Jordon Method, Tridiagonal matrix algorithm, Solving Ax=0 system, Solving Ax=b system:

Gaussian Elimination. 10 Hrs

Unit - III

Linear Transformations: Linear Transformations, The algebra of Linear Transformations,

Isomorphism, Representation of Transformations by Matrices, Linear Functional, The

Transpose of a Linear Transformation, Examples and applications. 10 Hrs

Unit – IV

Eigenvalues and Eigenvectors: Introduction, Polynomials of Matrices, Characteristic

Polynomial, Cayley–Hamilton Theorem, Diagonalization, Eigenvalues and Eigenvectors,

Computing Eigenvalues and Eigenvectors, Diagonalizing Matrices, Diagonalizing Real

Symmetric Matrices and Quadratic Forms, Minimal Polynomial, Characteristic and Minimal

Polynomials of Block Matrices. 10 Hrs

Unit – V

Canonical Forms: Introduction, Triangular Form, Invariance, Invariant Direct-Sum

Decompositions, Primary Decomposition, Nilpotent Operators, Jordan Canonical Form, Cyclic

Subspaces, Rational Canonical Form, Quotient Spaces. Bilinear, Quadratic, and Hermitian

Forms: Introduction, Bilinear Forms, Bilinear Forms and Matrices, Alternating Bilinear Forms,

Symmetric Bilinear Forms, Quadratic Forms, Real Symmetric Bilinear Forms, Law of Inertia,

Course Code 18EC1C01 M. Tech. (Electronics and Communication Engineering)

Category Program Core Semester: I

Course title Advanced Mathematics for Communication

Scheme and Credits

No. of Hours/Week

Total hours = 48 L T P S Credits

4 0 0 0 4

CIE Marks: 50 SEE Marks: 50 Total Max. Marks: 100 Duration of SEE: 3 Hrs

10

Hermitian Forms. Linear Programming and Game Theory: Linear Inequalities, the Simplex

Method, the Dual Problem, Network Models, Game Theory. 10 Hrs

Unit – VI

Recent advances and research being done in the topics mentioned in the above units.

References:

1. Hoffman and Kunze: Linear Algebra, Prentice Hall.

2. D.T. Findebniner: Matrices and Linear Transformations, Addison Wesley.

3. C.R. Wylie: Advanced Engineering Mathematics.

4. G.Strang: Linear Algebra, Thomson Brooks/Cole Cengage Hill, 4th edition, 2006.

5. Seymour Lipschutz and Marc Lars Lipson: Linear Algebra, Schaum’s Outline, 4th

edition.

COURSE OUTCOMES

At the end of this course, students will be able to

1. Formulate an engineering problem into a matrix model.

2. Apply the principles of Vector space to solve a variety of basic problems in

engineering.

3. Apply the principles of linear transformation and its applications in communication

engineering problems.

4. Apply the principles of Eigen values and Eigen Vectors to solve communication

engineering problems.

5. Analyse and solve communication engineering problems with respect to Canonical

and Bilinear forms.

SCHEME OF EXAMINATION

CIE – 50

marks

Test I (Unit I, II )- 15

marks Quiz / AAT = 5 marks

Unit VI (AAT) = 15 marks

Total:50

marks Test II (Unit III, IV & V)

– 15 marks

SEE – 100

marks

Answer FIVE Full Questions

Total:100

marks

Questions Q1 & Q 2 from Unit I and Unit II

respectively shall be answered and shall not

have internal choice.

20* 2 = 40

Marks

Questions Q3, Q4 and Q5 from Unit III,

Unit IV & Unit V respectively shall be

answered and shall have internal choice

20*3= 60

Marks

Note: SEE shall be conducted for 100 marks and the marks obtained shall be reduced for 50

marks.

11

Mapping of Course Outcomes (COS) to Program Outcomes (POs)

PO1 PO2 PO3

CO1 1 1 1

CO2 1 1 2

CO3 1 1 2

CO4 2 1 2

CO5 2 1 2

1. Low, 2. Medium, 3. High

12

COURSE OBJECTIVES:

1. Review of basis of probabilities and clear understanding of various mathematical

foundations.

2. To get better understanding of multiple random variables and mathematical

foundations, specifically bounds and Gaussian distribution which finds applications in

digital communication, pattern recognition etc.,

3. To get the meaning of random process and understanding of various time domain

properties of random process.

4. To understand the spectral properties of random process and get an expose to often used

random processes in communication, pattern recognition.

5. After having understood the above 4 topics, apply them to understand real time problem

like hypothesis testing, estimation and design of receivers.

Unit - I

Review of probability (axiomatic approach), total probability theorem, Bayes’ theorem and

their applications. Random variables: continuous and discrete, cumulative distribution

function, PMF and PDF and their properties, mixed random variables. Moments, characteristic

functions and moment generating functions. Discussion of binomial, poison, uniform,

Gaussian, exponential and Rayleigh distributed random variables and their properties. 10 Hrs

Unit - II

Multiple random variables and joint distributions, Expectations, Moments, Characteristic

function and Moment generating functions, Random vector, mean vector, covariance matrix

and properties, function of two random variables, sum of two independent random variables,

sum of several random variables and central limit theorem, Joint Gaussian random variables,

linear transformation of Gaussian random variables Chebyshev, chernoff and Markov

inequalities, Sequence of random variables and convergence concepts. Law of large numbers.

10 Hrs

Unit - III

Random proposes: random process concepts, classification of random process, distribution

density functions, concepts of stationary and statistical independence, stochastic continuity,

stochastic differentiability and stochastic inerrability, probability structure of random process:

mean, autocorrelation and auto covariance functions, cross correlation. Time averages and

ergodicity and their properties. 10 Hrs

Course Code 18EC1C02 M.Tech. (Electronics and Communication Engineering)


Course title Stochastic Processes

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


13

Unit - IV

Spectral characteristic of random process, power spectrum and its properties, relationship

between power spectrum and autocorrelation function. The cross power spectral density

function, properties, relationship between cross power spectrum and cross correlation function.

Random walk, wiener process, poison process, telegraph signal and random binary process,

Gaussian process and Markov process. White noise, band limited white and narrow limited

white noise. 10 Hrs

Unit - V

Hypothesis testing problem: Simple binary hypothesis, Composite hypothesis, Bayes’

estimation, real parameter estimation, linear mean square estimation, Bias and Consistency,

Receiver implementation: Correlation and matched filter receiver, computation of probability

of error. 8 Hrs

Unit – VI


References:

1. Papoulis: A probability, Random variables and stochastic process, McGraw-Hill Book

Company, New York, 1991.

2. S M Ross: Introduction to Probability models, 6th edition, AP 2008.

3. P G Hoel, S C Port and C J Stone: Introduction to Probability exam, Indian ED,

University Book Stall, New Delhi 1998.

4. Monson H Hayes: Statistical Digital Signal Processing and Modelling, John wiley &

Sons, INC., New York 1996.

COURSE OUTCOMES


1. Analyse the problem on probabilities.

2. Analyse specifically bounds and Gaussian distribution which finds applications in

digital communication, pattern recognition etc.,

3. Analyse the various time domain properties of random process.

4. Analyse spectral properties of random process and get an expose to often used random

processes in communication, pattern recognition.

5. Apply in real time problem like hypothesis testing, estimation and design of receivers.

14


CIE – 50

marks




Total:50


– 15 marks

SEE – 100

marks

Answer FIVE full questions

Total:100

marks

Questions Q1 & Q 2 from Unit I and Unit

II respectively shall be answered and shall

not have internal choice.

20* 2 = 40

Marks




20*3= 60

Marks


marks.


PO1 PO2 PO3

CO1 2 1 3

CO2 3 1 3

CO3 3 1 3

CO4 2 1 2

CO5 3 1 3


15

COURSE OBJECTIVES:

1. To understand the basic cellular system concepts.

2. To analyze the routing protocols.

3. To analyze wireless communication and channel modeling.

4. To analyze an insight into the various propagation models and the speech coders used

in mobile communication.

5. To understand the multiple access techniques and interference education techniques in

mobile communication.

Unit - I

Channel Allocation Techniques; Study of Mobile Communication Systems: Infrastructure,

Registration and basic Call Establishment & Termination. Handoff, Roaming Support; Threat,

Security & Privacy Issues; Ad-Hoc & Sensor Networks: Basic architecture/structure,

terminology and Nomenclatures, Routing Protocols; IEEE 802.11 & 802.15. 12 Hrs

Unit - II

Introduction to Wireless Communication Systems, Channel Modeling- Pathloss, large-scale

fading, small-scale fading; Power budget of mobile links - Doppler spread and coherent time,

delay spread and coherent bandwidth. 8 Hrs

Unit - III

Flat fading and frequency selective fading. Digital Modulation and its various aspects, Channel

Coding- Forward Error Correction (FEC) coding. 10 Hrs

Unit - IV

Network Architectures, Medium Access Schemes, Communication Protocol Layers, Routing

Strategies, Network Reliability, Congestion Issues. 8 Hrs

Unit V

Advanced Topics in Wireless Research-MANETs, Sensor Networks, Cellular Network

Concepts, SDN, Existing Wireless Systems –GSM and its evolution. 10 Hrs

Unit – VI




Course title Mobile Communication & Networks

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


16

References:

1. Joschen Schiller: Mobile Communications, Pearson Education, 2003.

2. William Stallings: Wireless Communication & Networks, Prentice Hall of India, 2nd

edition, 2004.

3. A. Goldsmith: Wireless Communications, Cambridge University Press, 2005.

4. T. S. Rappaport: Wireless Communications Principles and Practice, 2nd edition,

Pearson, 2010.

5. Haykin & Moher: Modern Wireless Communications Indian Edition, Pearson, 2011.

6. James F.Kurose: Computer Networking: A Top own Approach, 5th edition, Pearson,

2012.

7. Kumar, D. Manjunath and Joy Kuri, Communication Networking: An Analytical

Approach, Morgan Kauffmann.

COURSE OUTCOMES


1. Analyze familiar with various generations of mobile communications.

2. Analyze basics of wireless communication.

3. Knowledge of GSM mobile communication standard, its architecture, logical channels,

advantages and limitations.

4. Understand multicarrier communication systems.

5. Analyze differentiate various Wireless LANs.


CIE – 50

marks

Test I (Unit I, II, )- 20 marks Quiz / AAT = 5 marks


Total:50

marks Test II (Unit II, IV, V) – 20

marks

SEE – 100

marks


Total:100

marks

Questions Q1 & Q2 from Unit I and Unit II



20* 2 = 40

Marks


Unit IV, & Unit V respectively shall be


20*3= 60

Marks


marks.

17


PO1 PO2 PO3

CO1 1 2 2

CO2 2 3 2

CO3 1 2 3

CO4 2 3 3

CO5 3 2 3


18

COURSE OBJECTIVES:

1. To understand the concepts of basic digital signal processing and parametric methods

for power spectrum estimation.

2. To understand the concepts of multi rate signal processing.

3. To analyse the time-frequency signal processing.

4. To learn the concepts of time-frequency distribution.

5. To learn the concepts of adaptive filters.

Unit - I

Introduction: Review of basic digital signal processing fundamentals, Parametric methods for

power spectrum Estimation-Relationship between the auto correlation and the model parameters,

The Yule - Walker method for the AR Model Parameters, The Burg Method for the AR Model

parameters, unconstrained least-squares method for the AR Model parameters, sequential

estimation methods for the AR Model parameters, selection of AR Model order. 10 Hrs

Unit - II

Multirate signal processing: Fundamentals of multirate systems: Introduction, basic multirate

operations, Interconnection of building blocks, Polyphase representation, Multistage

implementations, Special filters and filter banks; Maximally decimated filter banks: Introduction,

Errors created in QMF bank, Alias free QMF system, Power symmetric QMF banks. 10 Hrs

Unit - III

Time frequency signal analysis and processing: Time-Frequency concepts, Time-domain

representation, Frequency domain representation, Joint time-frequency representation, Desirable

characteristics of a time-frequency distribution (TFD), Analytic signals, Hilbert transform,

Duration, Bandwidth, Bandwidth duration product, Uncertainty principle, Instantaneous frequency,

Time delay. 8 Hrs

Unit - IV

Time-Frequency Distributions: Wigner distribution, Wigner-ville distribution, Time-varying

power spectral density, Short-term Fourier transform, Spectrogram, Gabor transform,

Instantaneous power spectra, Energy density, Quadratic TFDs, Relationship between TFDs;

Applications of Time-Frequency Analysis: Analysis of non-stationary signals like speech, audio,

image and video signals. 10 Hrs

Unit - V

Adaptive Filters: Adaptive signal processing-FIR adaptive filters, steepest descent adaptive filter,

LMS algorithm, convergence of LMS algorithms, Application: noise cancellation, channel

Course Code 18EC1E1A M. Tech. (Electronics and Communication Engineering)

Category Program Elective Semester: I

Course title Advanced Signal Processing and its Applications

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


19

equalization, adaptive recursive filters, recursive least squares. 10 Hrs

Unit – VI


References:

1. John G Proakis, Dimitris G Manobakis: Digital Signal Processing, Principles,

Algorithms and Applications,3rd edition, PHI, 2000.

2. Monson H Hayes: Statistical Digital Signal Processing and Modelling, Wiley, 2002.

3. Emmanuel C Ifeachor and Barrie W Jervis: Digital Signal Processing: A Practical

Approach, Pearson Education, 2008.

4. Robert J Schilling and Sandra L Harris: Fundamentals of Digital Signal Processing,

Cengage Learning, 2005.

5. P P Vaidyanathan: Multirate Systems and Filter Banks, Pearson-Education, 2004.

6. F Hlawatsch and F Auger: Time-Frequency analysis: Concepts and Methods, Wiley-

Iste, 2008.

COURSE OUTCOMES


1. Gain knowledge of digital signal processing and methods for power spectrum

estimation.

2. Gain the knowledge of multirate signal processing.

3. Understand the concepts of the time-frequency signal processing.

4. Understand the concepts of time-frequency distribution.

5. Analyze and design the concepts of adaptive filters.


CIE –

50

marks

Test I (Unit I, II )- 15 marks Quiz / AAT =5 marks

UNIT VI (AAT) = 15 marks

Total:50

marks Test II (Unit III, IV & V) –

15 marks

SEE –

100

marks


Total:100

marks




20* 2 = 40

Marks

Questions Q3, Q4 and Q5 from Unit III, Unit

IV & Unit V respectively shall be answered

and shall have internal choice

20*3= 60 Marks


marks.

20


PO1 PO2 PO3

CO1 1 2 2

CO2 2 1 3

CO3 2 2 3

CO4 2 1 3

CO5 3 3 3


21

COURSE OBJECTIVES:

1. To provide with the concepts of conventional wire line and wireless advanced

communication systems.

2. To able to develop statistical models of various channels.

3. To analyze the performance of wireless trans-receiver probability.

4. To gain knowledge of 4th Generation wireless communication system such as OFDM,

MIMO-OFDM, LTE etc.

5. To understand different protocols of data transmission and reception of wireless

communication systems.

Unit - I

Communication over fading channels: Characteristics of fading channels, Rayleigh and Rician

channels, Receiver performance-average SNR, outage probability, Amount of Fading and

Average Bit/Symbol Error Rate. Statistical channel modeling of Rayleigh and Rician fading

channels. 10 Hrs

Unit - II

4G Technology: Introduction to OFDM, Multicarrier Modulation and Cyclic Prefix, BER

performance over AWGN and Rayleigh fading, OFDM Issues like PAPR, Frequency and

Timing Offset. 10 Hrs

Unit - III

Concepts of cellular Communication: Cellular concepts and frequency re-use, Co-channel

interference Determining the co channel re-use Distance-Analysis of co-channel Interference-

Hand off strategies, spectral efficiency and Grade of service-improving capacity in cellular

Systems-Cell splitting, Sectorization. 10 Hrs

Unit - IV

Multiple Access Techniques for wireless Communication: Introduction to multiple access

techniques, Time and frequency division multiplexing, Code division multiplexing, Space

division multiplexing, Packet Radio protocols: Pure ALOHA, slotted ALOHA, Carrier sense

multiple access protocols (CSMA). 8 Hrs

Unit - V

Cellular Wireless Communication Systems: Second generation cellular systems: GSM

specifications and Air interface-specifications of various units, 2.5 G systems: GPRS/EDGE

Course Code 18EC1E1B M.Tech. (Electronics and Communication Engineering)


Course title Advanced Communication Systems

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


22

specifications and features, 3G systems: UMTS & CDMA 2000 Standards and specifications.

10Hrs

Unit – VI

Recent advancements of wired and wireless Communication Systems.

References:

1. G. Proakis and M. Salehi: Fundamentals of Communication Systems, Pearson

Education, 2005.

2. 2. S. Haykins: Communication Systems, 5th edition, John Wiley, 2008.

3. W. Tomasi: Advanced Electronic Communication Systems, 4th edition, Pearson

Education, 1998.

4. T. S. Rappaport: Wireless Communications, Principles & Practice, PHI, 2001.

5. Kamilo Feher: Wireless Digital Communications, PHI, 1995.

COURSE OUTCOMES


1. Acquire knowledge about the operation, theoretical analysis and design conventional

wire line and wireless advanced communication systems.

2. Analyze statistical models of various channels.

3. Analyze the performance of wireless trans-receiver.

4. Analyse and evaluate differential amplifiers on-chip and its applications.

5. Summarize wireless communication of 4th generation, comparing existing wireless

networks.


CIE – 50

marks

Test I (Unit I, II )- 15 marks Quiz / AAT = 5 marks


Total:50


15 marks

SEE –

100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60 Marks


marks.

23


PO1 PO2 PO3

CO1 1 2 2

CO2 2 1 3

CO3 3 2 2

CO4 1 1 3

CO5 3 3 3


24

COURSE OBJECTIVES:

1. To become familiar with basic of transmission line.

2. Analyse microwave networks containing passive distributed components.

3. Design impedance matching circuits networks.

4. Analyse and Design microwave semiconductor devices.

5. To understand the basic concepts and techniques of microwave integrated circuits.

Unit - I

Introduction: Review of Basic Transmission Line Theory, Planar Transmission Lines – Strip

line, micro strip line, suspended strip line and coplanar line; Parallel coupled lines in strip line

and micro strip – Analysis, design and characteristics. 10 Hrs

Unit - II

Microwave Network Analysis: Microwave network representation, Impedance and admittance

matrices, Scattering parameters, typical two-port, three port, and four port networks: 8 Hrs

Unit - III

Impedance Matching Techniques – Smith chart, matching networks using lumped elements,

Single – and double-stub matching, Quarter wave transform, Multi-section transformers –

Binomial and Chebyshev. 10 Hrs

Unit - IV

Microwave Semiconductor Devices: Operation and circuit applications of Gunn diode,

IMPATT diode, PIN Diode, and Schottky barrier diode; Microwave BJT, MESFET, HEMT

and their applications. 8 Hrs

Unit - V

Microwave integrated circuits: Materials, Monolithic microwave integrated circuits, MOSFET

thin film and hybrid fabrications. Microwave Antenna Parameters: Microwave antenna for

ground based systems, Microwave antenna for airborne based systems, Microwave antenna for

satellite borne systems, Microwave Planar Antenna. 12 Hrs

Unit – VI


Course Code 18EC1E1C M.Tech. (Electronics and Communication Engineering)


Course title Microwave Devices and Applications

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


25

References:

1. M.M. Radmanesh: Radio Frequency and Microwave Electronics Pearson Education

Asia, 2001.

2. B. Bhat& S.K. Koul: Strip line-like Transmission Line for Microwave Integrated

Circuits New Age Intl. (P) Ltd., 1989.

3. Liao, S.Y: Microwave Devices and Circuits Prentice-Hall of India.

4. G.D.Vendelinetal : Microwave circuit design using linear and nonlinear techniques

Wiley 1990.

5. Y Konishi: Microwave integrated circuits Marcel Dekkar, 1991.

COURSE OUTCOMES


1. Understand the basic of transmission line.

2. Understand working of various microwave components.

3. Know the principles of impedance matching circuits networks.

4. Acquire a knowledge about microwave semiconductor devices.

5. Acquire knowledge about microwave integrated circuits.


CIE – 50

Marks



Total:50

marks Test II (Unit III, IV & V) – 15

marks

SEE – 100

Marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.


PO1 PO2 PO3

CO1 2 1 2

CO2 3 2 3

CO3 1 1 3

CO4 2 2 2

CO5 3 1 3


26

COURSE OBJECTIVES:

1. Analyze and model Continuous and Discrete Time systems

2. Study discrete-time closed-loop systems and their stability using the z-transform

and State space approach.

3. Design discrete-time controllers for Continuous and Discrete Time systems.

4. Understand non-linear systems and determine their stability.

5. Learn basics of neural networks and its application in control engineering.

Unit - I

Introduction: State variable models, Sampling theorem, Sample and Hold Circuit, Zero and

First Order hold, Z-Transform, Inverse Z- Transform, pulse transfer function, ZOH and FOH,

pulse transfer function and Z-transfer function, sampled signal flow graph, Discrete data

systems, Multirate discrete data systems. 10 Hrs

Unit - II

State Variable Technique: State evaluation and state transition evaluation continuous data

systems, state equation of Digital Data systems, state equations and transfer functions, Eigen

values, Eigen vectors, phase variable canonical form, Diagonalization of Matrices,

discretisation of continuous state, State space equation, state transition matrix, solution to

discrete time state evaluation. 8 Hrs

Unit - III

Stability Analysis: Jury Stability Test, Bilinear transformation, Z- plane analysis, Root locus

method, Controllability and observability, design by pole placement, optimal control. 10Hrs

Unit - IV

Design of Control System: Design of Digital PI, PD, PID Controller, Lag, Lead and Lag-Lead/

Lead-Lag Compensators. 10 Hrs

Unit - V

Satellite Non-linear systems, describing functions, Phase plane analysis, Nonlinear system

analysis, Lyapunov stability definitions, theorems and analysis, Neural networks and control

with neural networks. 10 Hrs

Unit – VI

Recent advances in Digital Control engineering and selected topics from current literature.

Course Code 18EC1E2A M.Tech. (Electronics and Communication Engineering)


Course title Digital Control Engineering

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


27

References:

1. Katsvhiko ogata: Discerete time control system, 2nd edition, PHI.

2. B.C.Kuo: Digital control system, 2nd edition, Oxford University.

3. M.Gopal: Digital control and state variable methods -3rd edition Tata Mcgrew

COURSE OUTCOMES


1. Apply knowledge of mathematics and science to analyze and understand discrete time

control systems.

2. Design analog and digital controllers.

3. Identify nonlinear control systems and determine their stability.

4. Formulate and solve digital control systems’ problems.

5. Understand and use neural network techniques to control systems.


CIE – 50

marks



Total:50


15 marks

SEE –

100

marks


Total:100

marks


respectively shall be answered and shall not have

internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 2 3 2

CO2 3 3 2

CO3 3 3 2

CO4 3 3 2

CO5 3 3 2


28

COURSE OBJECTIVES:

1. Understand the basic hardware components and their selection method based on the

characteristics and attributes of an embedded system.

2. Describe the hardware software co-design and firmware design approaches.

3. Explain the architectural features of ARM CORTEX M3, a 32- bit

microcontroller including memory map, interrupts and exceptions.

4. Program ARM CORTEX M3 using the various instructions, for different

applications.

Unit - I

Introduction to Embedded Hardware and Software: Terminology, Gates, Timing diagram,

Memory, Microprocessor buses- Direct memory access, Interrupts, built interrupts, Interrupts

basis, Shared data problem, Interrupt latency, Embedded system evolution trends, Interrupt

routines in an RTOS environment. 10 Hrs

Unit - II

System Modeling with Hardware/Software Partitioning: Embedded systems,

Hardware/Software Co-Design, Co-Design for System Specification and modeling, Single

processor Architectures and Multi-Processor Architectures, comparison of Co-Design

Approaches, Models of Computation, Requirements for Embedded System Specification,

Hardware/Software Partitioning Problem, Hardware/Software Cost Estimation, Generation of

Partitioning by Graphical modeling, Formulation of the HW/SW scheduling, Optimization.

10 Hrs

Unit - III

ARM 32- bit Microcontroller: Thumb-2 technology and applications of ARM, Architecture of

ARM Cortex M3, Various Units in the architecture, General Purpose Registers, Special Registers,

interrupts, stack operation, reset sequence. 8 Hrs

Unit - IV

Instruction Sets: Assembly basics, Instruction list and description, useful instructions, Memory

Systems, Memory maps, Cortex M3 implementation overview, pipeline and bus interface. 10 Hrs



Course title Advanced Embedded System

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


29

Unit - V

Exceptions, Nested Vector interrupt controller design, Systick Timer, Cortex-M3 Programming

assembly and C language, CMSIS. 10 Hrs

Unit – VI

Recent Trends on Advance Embedded Systems.

References:

1. David. E. Simon: An Embedded Software Primer, Pearson Education, 2001.

2. Tammy Noergaard: Embedded System Architecture, A comprehensive Guide for

3. Engineers and Programmers, Elsevier, 2006

4. Raj Kamal: Embedded Systems- Architecture, Programming and Design Tata McGraw

Hill, 2006.

5. K. V. Shibu: Introduction to embedded systems, TMH education Pvt. Ltd. 2009.

6. James K. Peckol: Embedded systems- A contemporary design tool, John Wiley, 2008.

7. Joseph Yiu: The Definitive Guide to the ARM Cortex-M3, 2nd edition, Elsevier, 2010.

COURSE OUTCOMES


1. Understand the basic hardware components and their selection method based on the

characteristics and attributes of an embedded system. Explain the hardware software

co-design and firmware design approaches.

2. Understand the instruction set and apply for coding.

3. Acquire the knowledge of the architectural features of ARM CORTEX M3, a 32-bit

microcontroller including memory map, interrupts and exceptions.

4. Apply the knowledge gained for Programming ARM CORTEX M3 for different

applications.

5. Acquire knowledge about Embedded system and apply the programming on

recent trends.

30


CIE – 50

Marks



Total:50

Marks Test II (Unit III, IV & V) – 15

marks

SEE –

100

Marks


Total:100

Marks



internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 2 1 2

CO2 1 1 2

CO3 3 2 2

CO4 2 1 2

CO5 2 2 3


31

COURSE OBJECTIVES:

1. To understand the concepts of sampling process, decimation, interpolation able to

design digital filters.

2. To understand linear prediction and optimum linear filters.

3. To analyse the concepts of Power Spectrum Estimations.

4. To understand algorithms used to efficiently compute DFT using FFT algorithms.

5. To understand the architectures of digital signal processors and recent advances

in digital signal processing.

Unit - I

Multirate Digital Signal Processing: Introduction, Decimation by a factor D, Interpolation by

a factor I, Sampling Rate conversion by a rational factor I/D, Implementation of Sampling Rate

Conversion, Applications of Multi rate Signal Processing, Digital Filter Banks. 10 Hrs

Unit - II

Linear Prediction and Optimum Linear Filters: Random Signals, Correlation Functions and Power

Spectra, Innovations Representation of a Stationary Random Process, Forward and Backward

Linear Prediction, Solution of the Normal Equations, Properties of linear prediction-error filters.

10 Hrs

Unit - III

Power Spectrum Estimations: Estimation of spectra from Finite-Duration Observation of Signals,

Non-Parametric Methods for Power Spectrum Estimation, Parametric Methods for Power

Spectrum Estimation. 8 Hrs

Unit - IV

DSP Algorithms: Algorithm for computing iteration bound, longest path matrix algorithm, shortest

path algorithm, Fast convolution algorithm, unfolding algorithm, folding algorithm, register

minimization technique. 10 Hrs

Unit - V

Architectures for Programmable Digital Signal Processors: Introduction, Basic Architectural

Features, DSP Computational Building Blocks, Bus Architecture and Memory, Data Addressing

Capabilities, Address Generation Unit, Programmability and Program Execution, Features for

External Interfacing. 10 Hrs



Course title DSP Algorithms and Architecture

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


32

Unit – VI


References:

1. John G Proakis and Dimitris G Monalkis: Digital Signal Processing, Principles,

Algorithms and Applications, Pearson, 4th edition, 2007.

2. Avatar Singh and S. Srinivasan: Digital Signal Processing, Thomson Learning, 3rd

edition, 2004. 3. Keshab K Parhi: VLSI Digital Signal Processing Systems- Design and Implementation,

John Wiley, 2010.

4. Ifeachor E. C., Jervis B. W Pearson-Education: Digital Signal Processing-A practical

approach, Pearson-Education, 2002.

5. B Venkataramani and M Bhaskar: Digital Signal Processors, Tata McGraw Hill

company ltd.,2nd edition, 2010.

6. Peter Pirsch: Architectures for Digital Signal Processing, 4th edition, John Wiley, 2007.

COURSE OUTCOMES


1. Gain knowledge of multi rate DSP and learn how to design digital filters.

2. Gain the knowledge of Linear Prediction and Optimum Linear Filters

3. Understand the concepts of power spectrum estimations.

4. Understand the issues involved in implementing DSP algorithms on processors and

analyze the fundamentals of DSP and the general architecture of DSP.

5. Analyze and design of interfacing and applications of DSP processor and gain the

knowledge of recent advances in DSP.


CIE – 50

marks



Total:50


15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60 Marks


marks.

33


PO1 PO2 PO3

CO1 1 3 3

CO2 2 1 3

CO3 2 2 3

CO4 3 2 2

CO5 3 3 2


34

COURSE OBJECTIVES:

Students will learn to

1. Analyse the concepts of Rayleigh fading and Rician fading channel.

2. Understand MATLAB and Simulink and to analyse BER performance.

3. Understand the concepts of ASK, FSK, PSK, DPSK and QPSK.

4. Understand the concepts of second order butterworth LPF, HPF, BPF and BEF.

5. Understand the concepts of sampling theorem.

Part A

Experiments can be done using Measurement benches, Spectrum Analyser, DSP processor kit,

FPGA kit, Software tools based experiments can be done using, FEKO simulator, MATLAB,

etc.

1. Implement the Transreceiver of communication system in MATLAB/SIMULUINK to

analyze its BER performance using various modulation formats in AWGN

channel/Rayleigh fading channel/Rician fading channel.

2. Implement the various diversity techniques to improve the BER performance of

simulated model.

3. To prove sampling theorem and to demonstrate the effects of under sampling and

oversampling.

4. ASK, FSK and PSK generation and detection using spectrum analyser.

5. DPSK generation and detection using spectrum analyser.

6. QPSK generation and detection using spectrum analyser.

Part B

1. Design and test the Second order Butterworth LPF and HPF using MATLAB.

2. Design and test the Second order Butterworth BPF and BEF using MATLAB.

3. MATLAB implementation of to obtain the radiation pattern of an antenna.

4. Measurement techniques of radiation characteristics of an antenna.

5. Impedance measurements of Horn/Yagi/dipole/Parabolic antennas.

6. Determine the directivity and gains of Horn/ Yagi/ dipole/ Parabolic antennas.

Course Code 18EC1L01 M.Tech (Electronics and Communication Engineering)

Category Laboratory Semester: I

Course title Advanced Communication Lab

Scheme and

Credits

No. of Hours/Week


0 0 4 0 2


35

COURSE OUTCOMES


1. Acquire knowledge of Rayleigh fading and Rician fading channel.

2. Gain the Knowledge of MATLAB and Simulink and to analyse BER performance.

3. Acquire the concepts of ASK, FSK, PSK, DPSK and QPSK.

4. Acquire the concepts of second order butterworth LPF, HPF, BPF and BEF.

5. Acquire the concepts of sampling theorem.

SCHEME OF EXAMINATION: For examination, an experiment each from Part-A and

Part-B shall be set.

Continuous Internal Evaluation

(CIE) (Laboratory– 50 marks) Marks

Semester End Evaluation (SEE)

(Laboratory– 100 marks) Marks

Performance of the student in the

laboratory every week 20 Write up 10

Test at the end of the semester 20 Experiment-1 (Part-A) = 35 marks

Experiment-2 (Part-B) = 35 marks 70

Viva Voce 10 Viva Voce 20

Total 100

Total (CIE) 50 Total (SEE) 50*

Note: * = SEE shall be conducted for 100 marks for practical and the marks obtained shall be

reduced for 50 marks.


PO1 PO2 PO3

CO1 3 2 2

CO2 2 1 3

CO3 1 2 3

CO4 2 2 3

CO5 3 3 3


36

COURSE OBJECTIVES:

1. To formulate research problem.

2. To obtain research information.

3. To be aware of ongoing researches in engineering domain.

4. To improve skills while writing contents of the paper.

5. To understand Intellectual Property and its benefits.

Unit - I

Meaning of research problem, Sources of research problem, Criteria Characteristics of a good

research problem, Errors in selecting a research problem, Scope and objectives of research

problem. Approaches of investigation of solutions for research problem, data collection,

analysis, interpretation, Necessary instrumentations. 4 Hrs

Unit - II

Effective literature studies approaches, analysis Plagiarism, Research ethics. 4 Hrs

Unit - III

Effective technical writing, how to write report, Paper Developing a Research Proposal, Format

of research proposal, a presentation and assessment by a review committee 4 Hrs

Unit - IV

Nature of Intellectual Property: Patents, Designs, Trade and Copyright. Process of Patenting

and Development: technological research, innovation, patenting, development. International

Scenario: International cooperation on Intellectual Property. Procedure for grants of patents,

Patenting under PCT. 6 Hrs

Unit - V

Patent Rights: Scope of Patent Rights. Licensing and transfer of technology. Patent information

and databases. Geographical Indications. New Developments in IPR: Administration of Patent

System. New developments in IPR; IPR of Biological Systems, Computer Software etc.

Traditional knowledge Case Studies. 6 Hrs

Unit – VI


Course Code 18EC1M01 M.Tech. (Electronics and Communication Engineering)

Category Mandatory Semester: I

Course Title Research Methodology and IPR

Scheme and Credits

No. of Hours/Week


2 0 0 0 2


37

References:

1. Ranjit Kumar: Research Methodology: A Step by Step Guide for beginners, 2nd

edition.

2. Halbert: Resisting Intellectual Property, Taylor & Francis Ltd., 2007.

3. Mayall: Industrial Design, McGraw Hill, 1992.

4. Niebel: Product Design, McGraw Hill, 1974.

5. Asimov: Introduction to Design, Prentice Hall, 1962.

6. Robert P. Merges, Peter S. Menell and Mark A. Lemley: Intellectual Property in New

Technological Age, 2016.

7. Stuart Melville and Wayne Goddard: Research methodology: An Introduction for

Science & Engineering Students

8. T. Ramappa: Intellectual Property Rights Under WTO, S. Chand, 2008

COURSE OUTCOMES


1. Understand research problem formulation.

2. Analyze research related information

3. Follow research ethics

4. Understand that today’s world is controlled by Computer, Information Technology,

but tomorrow world will be ruled by ideas, concept, and creativity.

5. Understanding that when IPR would take such important place in growth of

individuals & nation, it is needless to emphasise the need of information about

Intellectual Property Right to be promoted among students in general & engineering

in particular.


CIE – 50

marks




Total:50


15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.

38


PO1 PO2 PO3

CO1 1 1 1

CO2 1 3 2

CO3 1 1 1

CO4 2 1 2

CO5 2 1 1


39

COURSE OBJECTIVES:

To prepare the students to learn to:

1. Prepare a technical report, reflecting his/her depth of understanding, on the

selected area/topic and prepare content rich presentation.

2. Acquire communication, and time management skills for effective and

impactful presentation.

3. Interact with peers to acquire the qualities of thoughtfulness, friendliness,

adaptability, responsiveness, and politeness in-group settings.

4. Overcome stage fear during the presentation.

GUIDE LINES

1. Seminar preparation and presentation is an individual student activity.

2. Topic may be of general/specific interest to program of engineering or

electives not offered in the semester and to be selected in consultation with

the Faculty/Guide.

3. Carry out the literature survey on the selected topic and select one pertinent

research paper for the seminar presentation.

4. Prepare and submit a detailed technical report and presentation on the seminar

topic selected by referring to current literature/books.

COURSE OUTCOMES:

Students shall be able to:

1. Prepare the technical report on the selected area/topic and presentation.

2. Make an effective presentation with seamless flow of content within the time

allocated.

3. Overcome inhibition in interacting with peers and hence develop the spirit of

team work.


Course Code 18EC1S01

Category Seminar

Course title SEMINAR – I

Scheme and Credits No. of Hours/Week


0 0 2 0 1

CIE Marks: 50 SEE Marks: 0 Total Max. Marks: 50 Duration of SEE: ---

40


CIE – 50 marks

Phase -1 Presentation

Marks =15 Seminar Report I: Marks 10

Seminar Report II: Marks 10

Total:50

Marks Phase -2 Presentation

Marks =15

Scheme of Continuous Internal Evaluation (CIE):

Evaluation would be carried out in TWO phases. The Seminar Evaluation Committee shall

comprise of Chairman of the Department, Faculty/Guide and one more faculty member

nominated by Chairman. The evaluation criteria shall be as per the rubrics given below:

Rubrics for Evaluation:

Topic - Technical Relevance, Sustainability and Societal Concerns: 35%

Presentation Skills : 35%

Report : 30%

41

COURSE OBJECTIVES:

1. To prepare a draft paper.

2. To highlight findings and avoid plagiarism.

3. To write Literature and sections of the paper.

4. To improve skills while writing contents of the paper.

5. To improve methodology, discussions and results writing skills.

Unit - I

Planning and Preparation, Word Order, breaking up long sentences, Structuring Paragraphs

and Sentences, Being Concise and Removing Redundancy, Avoiding Ambiguity and

Vagueness 4 Hrs

Unit - II

Clarifying Who Did What, Highlighting Your Findings, Hedging and Criticising, Paraphrasing

and Plagiarism, Sections of a Paper, Abstracts. Introduction 4 Hrs

Unit - III

Review of the Literature, Methods, Results, Discussion, Conclusions, The Final Check. 4 Hrs

Unit - IV

Key skills are needed when writing a Title, key skills are needed when writing an Abstract, key

skills are needed when writing an Introduction, skills needed when writing a Review of the

Literature. 6 Hrs

Unit - V

Skills are needed when writing the Methods, skills needed when writing the Results, skills are

needed when writing the Discussion, skills are needed when writing the Conclusions. Useful

phrases, how to ensure paper is as good as it could possibly be the first- time submission. 6 Hrs

Unit – VI


Course Code 18ME1M02 M.Tech. (Electronics and Communication)

Category Mandatory Semester: I

Course title Technical Paper Writing

Scheme and Credits

No. of Hours/Week


2 0

0 0 1

CIE Marks: 50 SEE Marks: -- Total Max. Marks: 50 Duration of SEE: --

Prerequisites (if any): NIL

42

References:

1. Goldbort R: Writing for Science, Yale University Press, 2006.

2. Day R: How to Write and Publish a Scientific Paper, Cambridge University

Press, 2006.

3. Highman N: Handbook of Writing for the Mathematical Sciences, SIAM.

Highman’sbook, 1998.

4. Adrian Wallwork, English for Writing Research Papers, Springer New York

Dordrecht Heidelberg London, 2011.

COURSE OUTCOMES


1. Understand that how to improve your writing skills and level of readability

2. Highlight findings and avoid plagiarism by maintaining originality of research work.

3. Learn about writing literature review, results and discussion significantly.

4. Understand the skills needed when writing a Title and other sections of the paper.

5. Ensure the good quality of paper at very first-time submission.


CIE – 50

marks



Total:50

marks Test II (Unit III, IV & V) – 15 marks


PO1 PO2 PO3

CO1 1 1 1

CO2 1 2 1

CO3 1 2 1

CO4 1 1 1

CO5 1 2 2


43

COURSE LEARNING OBJECTIVES:

1. Acquire mathematical preliminaries for the theory behind lossy and lossless data

compression techniques and understand basic data compression algorithm.

2. Acquire knowledge about different communication channels and their capacities.

3. Understanding of linear block codes to transmit data on a communication channel,

identification and correction of errors using linear block code approach.

4. Understanding of Galois field and identifying the errors and correcting them using

cyclic codes.

5. Error detection and correction using convolution codes.

Unit – I

Entropy and Lossless source coding:

Entropy: Mutual Information and its properties. Extension of zero memory source, Entropy of

Markov sources, Adjoint sources. Information inequality, Data processing inequality, Fano’s

inequality, asymptotic equipartition property. Lossless source coding theorem. Definition of

source coding and its properties, Krafts inequality, Huffman codes, Shannon-Fano coding,

Arithmetic coding, Lempel-Ziv coding. Entropy of continuous signals, Entropy maximization.

10 Hrs

Unit – II

Discrete Memoryless Channels: Joint, marginal and conditional entropies, mutual information

and its properties, Shannon’s theorem on channel capacity, Evaluation of Channel capacity and

redundancy of channels. Deterministic, lossless and noiseless channels, BSC and BEC.

Gaussian Channel, Shannon Hartley Law and its implication. Extension of binary channels and

channel reduction. Jointly typical sequences. 10 Hrs

Unit – III

Channel coding: Introduction to Error detection and correction, Linear block codes: Systematic

linear block code, Generator matrix and parity check matrix, Design of Encoder, distance

properties and error correction and detection capabilities, Syndrome Generation, Cosets,

construction of standard array and its properties, Standard array decoding, Lookup table

decoding. Probability of undetectable errors over BSC, Design of (n, k) linear block code.

Cyclic codes: Generator matrix, Parity check matrix, Non-systematic and systematic codes,

design of encoders and decoders, Dual codes, Construction and decoding of BCH and RS

codes. 10 Hrs

Course Code 18EC2C01 M.Tech (Electronics and Communication Engineering)

Category Program Core Semester: II

Course title Information Theory

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


44

Unit – IV

Review of vector space, Characteristics of finite fields, Construction and properties of finite

fields, Computation using Galois Field Arithmetic, Algebraic structure of cyclic codes, Binary

cyclic codes and its properties, encoding of cyclic code in the systematic form, Design of

encoding (n, k) cyclic code, Syndrome generation circuit, Meggitt Decoder. 8 Hrs

Unit - V

Convolutional codes: Feed forward convolution encoder, Generator sequence, Computation

of output in time domain, transfer domain and matrix approach, transfer function, State

transition diagram, Trellis representation, Viterbi decoding, BCJR decoding, Puncturing,

Interleaving and Turbo codes. 10 Hrs

Unit – VI

Recent advancements of Error Control Coding.

References:

1. Bernad Skalre: Digital communication Fundamentals and applications, Prentice Hall

P T R, 2nd edition.

2. Shu lin and Costello Jr: Error Control Coding Fundamentals and applications Prentice

Hall, 3rd edition.

3. Das, Mullick and Chatterjee: Principles of Digital Communication.

4. T.M. Cover and J.A. Thomas: Elements of Information, Wiley Interscience 2nd edition,

2006.

COURSE OUTCOMES


1. Build strong knowledge in the subject of Encoder and decoder in Communication.

2. Study different techniques of entropy, channel capacity and error detection and

correction.

3. Characterize the channel capacity.

4. Design the Encoder circuits.


CIE – 50

marks


Unit VI(AAT) = 15matks

Total:50


15 marks

SEE –

100 marks


Total:100

marks

Questions Q1 & Q2 from Unit I and Unit II


internal choice.

20* 2 = 40

Marks


IV & Unit V respectively shall be answered and

shall have internal choice

20*3= 60 Marks


marks.

45


PO1 PO2 PO3

CO1 2 1 3

CO2 3 1 3

CO3 3 1 3

CO4 2 1 2


46

COURSE OBJECTIVES:

1. To understanding the basic concepts of propagation of optical energy in single and

multimode optical fibers.

2. To understanding the EM field modes in fibers, fiber structures and effects of refractive

index on fiber configuration, optical fiber fabrication techniques.

3. To understanding the fiber losses and measurements to provide background for optical

fiber communications.

4. To know the Pseudorandom Sequences and signals.

5. Able to design and solve problems about optical communication systems.

Unit - I

Overview of Optical Fiber Communication: Introduction, historical development, general

system, advantages, disadvantages, and applications of optical fiber communication. Principle

of Optical Propagation and Fiber Structure: Ray theory, numerical aperture, diffraction, optical

fiber waveguides, single mode fiber, multimode fiber, cutoff wave length, mode filed diameter,

fiber materials, photonic crystal and fiber optic cables specialty fibers. 10 Hrs

Unit – II

Transmission Characteristics of Optical Fibers: Introduction, attenuation, absorption, scattering

losses, bending loss, signal distortion, dispersion, Intra model dispersion and Inter-model

dispersion. Standard and Measurement: Evolution of optical fibres, ITU-T standards G652, G655,

optical fibres cables, measurements on optical links: the OTDR principles. 10 Hrs

Unit - III

Optical sources and transmitter: Introduction, Light emitting diodes (LEDs), LASER diodes,

power–current characteristics, led spectrum, semiconductor lasers, optical gain, feedback and laser

threshold, laser structures. Distributed feedback lasers, coupled-cavity semiconductor lasers,

tunable semiconductor lasers, laser characteristics, reliability considerations. 8 Hrs

Unit - IV

Optical Detection and Receiver: Introduction, photo detectors, optical receivers operation, detector

responsivity, rise time and bandwidth, double heterojunction structure, common photo detectors,

p–i–n photodiodes, avalanche photodiodes, receiver design, receiver noise, coherent receiver,

noise mechanisms, receiver sensitivity, bit-error rate, minimum received power, quantum limit of



Course title Optical Fiber Communication and Networks

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4

CIE Marks: 50 SEE Marks: 50 Total Max. Marks:

100 Duration of SEE: 3 Hrs

47

photo detection, intensity noise, timing jitter, receiver performance, coherent detection, burst mode

receiver, operation, and Analog receivers, comparison of photo detectors. 10 Hrs

Unit - V

Optical Amplifiers: Optical amplifiers, basic applications and types, semiconductor optical

amplifiers and EDFA. Optical Networks: Introduction, point-to-point links, network concept,

network topology, power penalties, error control, intensity modulation, coherent modulation,

wavelength division multiplexing (WDM) techniques, components for WDM, optical amplifier and

optical filters for WDM links. SONET / SDH, Optical Interfaces, SONET/SDH rings, High – speed

light – waveguides. 10 Hrs

Unit – VI Recent advances and research being done related to the subject.

References:

1. Gerd Keiser: Optical Fiber Communication, 4th edition, MGH, Reprint 2012.

2. John M Senior: Optical Fiber Communications, Pearson Education, 3rd impression, 2012.

3. Joseph C Palais: Fiber Optic Communication”, 4th edition, Pearson Education, 2012.

4. Agrawal, Govind P: Fiber Optic Communication Systems”. 3rd edition Wiley-

Interscience, 2002.

COURSE OUTCOMES


1. Apply the concepts of propagation of optical energy in single and multimode optical

fibers.

2. Ability to apply the concepts of EM field modes in fibers.

3. Analyze fiber structures and effects of refractive index on fiber configuration.

4. To emphasize the importance of optical fiber fabrication techniques.

5. To emphasize the importance of fiber losses and measurements to provide

background for optical fiber communications.

48


CIE – 50

marks



Total:50


marks

SEE –

100

marks


Total:100

marks



internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 1 2 3

CO2 2 3 2

CO3 3 1 1

CO4 3 3 3

CO5 3 3 3


49

COURSE OBJECTIVES:

1. To analyze the operation of different modulation techniques.

2. To analyze the error performance of digital modulation.

3. To analyze and demonstrate the model of discrete time channel with ISI.

4. To analyze the error performance.

5. To understand the concept of spread spectrum communication system.

Unit - I

Digital Modulation Schemes: Representation of Digitally Modulated Signals, Memory less

Modulation Methods-PAM, Phase Modulation, QAM, Multidimensional Signalling. Signalling

Schemes with memory: CPFSK, CPM, MSK, OQPSK. Transmit PSD for Modulation Schemes.

10 Hrs

Unit - II

Digital Communication through band-limited channels: Characterization of Band-limited channels,

Optimum Receiver for channels with ISI and AWGN, Linear equalization, Decision feedback.

Adaptive equalization: Adaptive linear equalizer, adaptive decision feedback equalizer, Adaptive

equalization of Trellis coded. 10 Hrs

Unit - III

Error control coding: Linear block codes, cyclic codes-encoding and decoding, Non-binary codes,

Convolutional codes, decoding of convolutional codes, Trellis coded modulation, Interleaver,

Turbo coding, Performance measures. 8 Hrs

Unit - IV

Spread spectrum signals for digital communication: Spread Spectrum Communication: Direct

sequence and frequency hopped spread spectrum, spreading sequences and their correlation

functions, Acquisition and tracking of spread spectrum signals Code Division Multiple Access

(CDMA): DS-CDMA on AWGN channels, DS-CDMA on frequency selective fading channels,

Performance analysis of cellular DS-CDMA, Capacity estimation, Power control effect of

imperfect power control on DS-CDMA performance, Soft Hand offs, Spreading/coding tradeoffs,

multi carrier CDMA, IS95A CDMA systems, 3rd Generation CDMA systems, Multi user

detection, Optimum receivers, SIC, PIC receivers and performance. Networks & Services: Network

Transmission System Design Services, Characterization of networks & teleservices, The

Telephone Network – Past, Present & Future, and Network issues. 10 Hrs



Course title Advanced Digital Communication

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


50

Unit - V

Multichannel and Multicarrier Communication Systems, Multi user communication systems.

10 Hrs

Unit – VI

Recent advancements of Digital Communication Systems.

References:

1. J S Lee and L E Miller: CDMA systems engineering handbook, Artech House, 1998.

2. Marvin K Simon, Jim K Omura, Robert A Scholtz, Bary Klevit: Spread Spectrum

Communications, 1995.

3. Sergio Verdu: Multiuser Detection, Cambridge University Press, 1998.

4. J.G.Proakis: Digital Communication, McGraw- Hill.

5. S.Lin & D.J.Costello: Error Control Coding, Pearson.

6. Andrew S Tanenbaum: Computer Networks, Prentice Hall of India.

COURSE OUTCOMES:


1. Analyze the operation, theoretical analysis of different digital modules.

2. Design of baseband and pass band data transmission systems.

3. Analyze and evaluate the design and implement various digital encoders and decoders.

4. Summarize spread spectrum technology and its application.

5. Comprise single carrier and multicarrier communication systems.


CIE – 50

marks




Total:50


– 15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.

51


PO1 PO2 PO3

CO1 2 1 2

CO2 3 3 2

CO3 2 2 3

CO4 2 3 3

CO5 3 2 2


52

COURSE OBJECTIVES:

1. To understand the basic concepts image representation in different domains like

time and frequency, Conversion of color images from one model to another is also

learned.

2. Learn to improve the quality of image by using different filtering techniques.

3. To learn the different aspects of image enhancement, image filtering and

restoration.

4. To understand the concepts image analysis and computer vision.

5. To learn the concepts of video processing.

Unit - I

Introduction: 2D systems, Mathematical preliminaries – Fourier Transform, Z Transform,

Optical & Modulation transfer function, Matrix theory Results, Random signals, Discrete

Random fields. Image Perception: Light, Luminance, Brightness and Contrast, MTF of the

visual system, Visibility function, Monochrome vision models, Image Fidelity criteria, Color

representation, Color Matching and Reproduction, Color coordinate systems, Color difference

measures, Color vision model, Temporal properties of vision. 10 Hrs

Unit - II Image Sampling and Quantization: Introduction, 2D sampling theory, Limitations in sampling &

reconstruction, Image Quantization. Image Transforms: Introduction, 2D orthogonal & unitary

transforms, Properties of unitary transforms, DFT, DCT, DST, Hadamard, Haar, Slant, KLT, SVD

transform. 10 Hrs

Unit - III Image Enhancement: Point operations, Histogram modeling, spatial operations, Transform

operations, Multispectral image enhancement, false color and Pseudo-color, Color Image

enhancement. Image Filtering & Restoration: Image observation models, Inverse & Wiener

filtering, Fourier Domain filters, smoothing splines and interpolation, least squares filters,

generalized inverse, SVD and Iterative methods. 8 Hrs

Unit - IV

Image Analysis & Computer Vision: Spatial feature extraction, Transform features, Edge

detection, Boundary Extraction, Boundary representation, Region representation, Moment

representation, Structure, Shape features, Texture, Scene matching & detection, Image

segmentation, Classification Techniques. 10 Hrs


Category Program Elective Semester: II

Course title Digital Image and Video Processing

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


53

Unit - V Video Processing: Fundamental Concepts in Video – Types of video signals, Analog video, Digital

video, Color models in video, Video Compression Techniques – Motion compensation, Search for

motion vectors, H.261, H.263, MPEG I, MPEG 2, MPEG 4, MPEG 7 and beyond. 10 Hrs

Unit – VI

Recent advances and research being done related to the subject.

References:

1. Anil K Jain: Fundamentals of Image Processing, Prentice Hall India, 2009.

2. Rafael C Gonzalez, Richard E Woods: Digital Image Processing, 3rd edition, Prentice

Hall India, 2008.

3. M Tekalp: Digital Video Processing, Prentice Hall, 1995.

4. Z. Li and M.S. Drew: Fundamentals of Multimedia, Pearson Education (Asia), 2004.

5. B Chanda and D Dutta Majumdar: Digital Image Processing and Analysis, Prentice

Hall India, Eastern Economy edition, 2004.

6.S. Sridhar: Digital Image Processing, Oxford University Press, 2011.

7. S Jayaraman, S EsakkiRajan and T Veerakumar: Digital Image Processing, TMH,

2009.

COURSE OUTCOMES


1. Gain the basic concepts of Image processing along with applications in the different

fields.

2. Learn the concepts of image sampling and quantization.

3. Learn the image enhancement techniques with filtering and restoration.

4. Gain knowledge about the computer vision and image analysis.

5. Learn the video processing techniques and its applications.


CIE – 50

marks



Total:50


marks

SEE – 100

marks


Total:100

marks



internal choice.

20* 2 = 40 Marks

Questions Q3, Q4 and Q5 from Unit III, Unit IV

& Unit V respectively shall be answered and shall

have internal choice

20*3= 60 Marks


marks.

54


PO1 PO2 PO3

CO1 2 1 2

CO2 3 2 3

CO3 3 3 3

CO4 1 2 3

CO5 1 2 3


55


1. To understand the basics of satellite orbits.

2. To understand the satellite segment and earth segment.

3. To analyze the various methods of satellite access.

4. To understand various types of Modulation and Multiplexing Techniques.

5. To understand the applications of satellites.

Unit - I

Satellite Orbits: Kepler’s Laws, Newton’s law, orbital parameters, orbital perturbations, station

keeping, geo stationary and non-Geo-stationary orbits, Look Angle Determination, Limits of

visibility, Eclipse-Sub satellite point, sun transit outage, launching procedures, launch vehicles

and propulsion. 8 Hrs

Unit - II

Space Segment and Satellite Link Design: Spacecraft Technology- Structure, Primary power,

Attitude and Orbit control, Thermal control and Propulsion, communication Payload and

supporting subsystems, Telemetry, Tracking and command. Satellite uplink and downlink

Analysis and Design, link budget, E/N calculation- performance impairments-system noise,

inter modulation and interference, Propagation Characteristics and Frequency considerations,

system reliability and design life time. 10 Hrs

Unit - III

Earth Segment : Introduction, Receive – Only home TV systems, Outdoor unit ,Indoor unit for

analog (FM) TV Master antenna TV system, Community antenna TV system, Transmit,

Receive earth stations, Problems Equivalent isotropic radiated power, Transmission losses,

Free-space transmission, Feeder losses, Antenna misalignment losses, Fixed atmospheric and

ionospheric losses, Link power budget equation, System noise Antenna noise, Amplifier noise

temperature, Amplifiers in cascade, Noise factor, Noise temperature of absorptive networks,

Overall system noise temperature, Carrierto, Noise ratio, Uplink, Saturation flux density Input

back off, The earth station, HPA, Downlink, Output back off, Satellite TWTA output, Effects

of rain, Uplink rain, Fade margin, Downlink rain, Fade margin, Combined uplink and downlink

C/N ratio, Inter modulation noise. 10 Hrs



Course title Satellite Communication

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


56

Unit - IV

Satellite Access: Modulation and Multiplexing: Voice, Data, Video, Analog, digital

transmission system, Digital video Broadcast, multiple access: FDMA, TDMA, CDMA,

Assignment Methods, Spread Spectrum communication, compression, encryption. 10 Hrs

Unit - V

Satellite Applications: INTELSAT Series, INSAT, VSAT, Mobile satellite services: GSM,

GPS, INMARSAT, LEO, MEO, Satellite Navigational System. Direct Broadcast satellites

(DBS)- Direct to home Broadcast (DTH), Digital audio broadcast (DAB), World space

services, Business TV(BTV), GRAMSAT, Specialized services, Email, Video conferencing,

Internet. 10 Hrs

Unit – VI

Recent advances in Satellite Communication and selected topics from current literature.

References:

1. Wilbur L.Pritchard, Hendri G. Suyderhoud, Robert A. Nelson: Satellite

Communication Systems Engineering, Prentice Hall/Pearson, 2007.

2. N.Agarwal: Design of Geosynchronous Space Craft, Prentice Hall, 1986.

3. Bruce R. Elbert: The Satellite Communication Applications, Hand Book, Artech House

Bostan London, 1997.

4. Tri T. Ha: Digital Satellite Communication, 2nd edition, 1990.

5. Emanuel Fthenakis: Manual of Satellite Communications, Mc Graw Hill Book Co.,

1984.

6. Robert G. Winch: Telecommunication Trans Mission Systems, Mc Graw-Hill Book

Co., 1983.

7. Brian Ackroyd: World Satellite Communication and earth station Design, BSP

professional Books, 1990.

8. G.B.Bleazard: Introducing Satellite communications, NCC Publication, 1985.

9. M.Richharia: Satellite Communication Systems-Design Principles, Macmillan 2003.

10. Dennis Roddy: Satellite Communication, 4th edition, Mc Graw Hill

International, 2006.

COURSE OUTCOMES


1. Analyze the satellite orbits.

2. Analyze the earth segment and space segment.

3. Analyze the various modulation and multiplexing techniques.

4. Design various satellite applications.

57


CIE – 50

marks



Total:50


marks

SEE –

100

marks


Total:100

marks



internal choice.

20* 2 = 40 Marks

Questions Q3, Q4 and Q5 from Unit III, Unit IV

& Unit V respectively shall be answered and shall

have internal choice

20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 1 1 2

CO2 2 1 2

CO3 1 1 2

CO4 2 1 2


58


1. The basic principles behind a Wireless Sensor Network.

2. To study about the node and network architecture of sensor nodes and its execution

environment.

3. To understand the concepts of communication, MAC, routing protocols and also study

about the naming and addressing in WSN.

4. To learn about topology control and clustering in networks with timing synchronization

for localization services with sensor tasking and control.

5. To study about sensor node hardware and software platforms and understand the

simulation and programming techniques.

Unit - I

Introduction, Overview and Applications of Wireless Sensor Networks: Introduction,

Background of Sensor Network Technology, Applications of Sensor Networks, Focus of This

Book, Basic Overview of the Technology, Basic Sensor Network Architectural Elements, Brief

Historical Survey of Sensor Networks, Challenges and Hurdles, Conclusion, Range of

Applications, Examples of Category 2 WSN Applications, Home Control, Building

Automation, Industrial Automation, Medical Applications, Examples of Category 1 WSN

Applications, Sensor and Robots, Reconfigurable Sensor Networks, Highway Monitoring,

Military Applications, Civil and Environmental Engineering Applications, Wildfire

Instrumentation, Habitat Monitoring, Nanoscopic Sensor Applications, Another Taxonomy of

WSN Technology. 10 Hrs

Unit - II

Wireless Sensor Transmission Technology and Systems: Introduction, Sensor Node

Technology, Overview, Hardware and Software, Sensor Taxonomy, WN Operating

Environment, WN Trends, Radio Technology Primer, Propagation and Propagation

Impairments, Modulation, Available Wireless Technologies, Campus Applications,

MAN/WAN Applications. 8 Hrs

Unit - III

Medium Access Control Protocols for Wireless Sensor Networks: Fundamentals of MAC

Protocols, Performance Requirements, Common Protocols, MAC Protocols for WSNs,

Schedule-Based Protocols, Random Access-Based Protocols, Sensor-MAC Case Study,

Protocol Overview, Periodic Listen and Sleep Operations, Schedule Selection and



Course title Wireless Sensor Networks

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


59

Coordination, Schedule Synchronization, Adaptive Listening, Access Control and Data

Exchange, Message Passing, IEEE 802.15.4 LR-WPANs Standard Case Study, PHY Layer,

MAC Layer. 10 Hrs

Unit - IV

Routing Protocols for Wireless Sensor Networks: Data Dissemination and Gathering, Routing

Challenges and Design Issues in Wireless Sensor Networks, Network Scale and Time-Varying

Characteristics, Resource Constraints, Sensor Applications Data Models, Routing Strategies in

Wireless Sensor Networks, WSN Routing Techniques, Flooding and Its Variants, Sensor

Protocols for Information via Negotiation, Low-Energy Adaptive Clustering Hierarchy,

Power-Efficient Gathering in Sensor Information Systems, Directed Diffusion, Geographical

Routing. 10 Hrs

Unit - V

Transport Control Protocols for Wireless Sensor Networks: Traditional Transport Control

Protocols, TCP, UDP, Mobile IP, Feasibility of Using TCP or UDP for WSNs, Transport

Protocol Design Issues, Examples of Existing Transport Control Protocols, CODA, ESRT,

RMST, PSFQ, GARUDA, ATP, Problems with Transport Control Protocols, Performance of

Transport Control Protocols, Congestion, Packet Loss Recovery. Network Performance and

Traffic Management for Wireless Sensor Networks: Network Management Requirements,

Traditional Network Management Models, Simple Network Management Protocol, Telecom

Operation Map, Network Management Design Issues, Example of Management Architecture:

MANNA, Other Issues Related to Network Management, WSN Design Issues, Performance

Modeling of WSNs, Performance Metrics, Basic Models, Network Models. 10 Hrs

Unit – VI


References:

1. Kazem Sohraby,Daniel Minoli, Taieb Znati: Wireless Sensor Networks Technology,

Protocols, and Applications, 2007.

2. K. Romer, F. Mattern: The Design Space of Wireless Sensor Networks, IEEE Wireless

Communications, 2004.

3. Victor Lesser, Charles L. Ortiz, and Milind Tambe: Distributed Sensor Networks: A

Multiagent Perspective, Kluwer, 2003.

4. Anna Hac: Wireless Sensor Network Designs, John Wiley & Sons, 2003.

5. Kamilo Feher: Wireless Digital Communications, PHI, 1995.

http://www.amazon.com/exec/obidos/ASIN/1402074999/ref=ase_rajjainA/



60

COURSE OUTCOMES


1. Analyze communication protocols on the link and networking layers for wireless

personal area networks, and inter-working with wireless local area networks and

cellular networks.

2. Analyze existing network protocols and networks.

3. The operating systems and programming languages for wireless sensor nodes.

4. Analyze functions and performance of wireless sensor networks systems and platforms.

5. Understand the Sensor management, sensor network middleware, operating systems.


CIE – 50

marks



Total:50


marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks


IV, Unit V & Unit VI respectively shall be


20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 2 1 3

CO2 3 2 2

CO3 2 3 3

CO4 2 3 2

CO5 3 2 3


61


1. Understanding the design issues in ad-hoc and sensor networks.

2. Learn the different types of MAC protocols.

3. Be familiar with different types of adhoc routing protocols.

4. Learn the architecture and protocols of wireless sensor networks.

5. To develop an understanding of the principles underlying network security and message

authentication.

Unit - I

Introduction: Fundamentals of Wireless Communication Technology- The Electromagnetic

Spectrum- Radio propagation mechanisms- Characteristics of the Wireless Channel- mobile ad

hoc networks (MANETs) and Wireless sensor networks (WSNs), concept and architectures,

Application of Ad-Hoc and Sensor Networks, Design Challenges in Ad-hoc and sensor

networks. 10 Hrs

Unit - II

MAC Protocols for Ad Hoc Wireless Networks: Issues in designing a MAC protocol,

Classification of MAC Protocols, Contention based protocols, Contention based protocols with

Reservation Mechanisms, Contention based protocols with scheduling mechanisms, multi-

channel MAC- IEEE 802.11. 8 Hrs

Unit - III

Routing Protocols and Transport Layer in Ad Hoc Wireless Networks: Issues in designing a

routing and transport layer protocol for Ad-hoc networks, proactive routing, reactive routing,

hybrid routing- Classification of transport layer solutions TCP over Ad hoc wireless networks.

10 Hrs

Unit - IV

Wireless Sensor Networks (WSNs) and MAC protocols: Single node architecture, hardware

and software components of a sensor node, WSN Network architecture, typical network

architecture, data relaying and aggregation strategies, MAC layer protocols, self-organizing,

Hybrid TDMA, FDMA and CSMA based MAC IEEE 802.15.4. 10 Hrs

Course Code 18EC2E2A M. Tech (Electronics and Communication Engineering)


Course title Communication Network Security

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


62

Unit - V

Network Securities: Attacks, Services, Security Attacks, Security Services, Model for Network

Security, Conventional Encryption and Message Confidentiality, Conventional Encryption

Principles, Conventional Encryption Algorithms, Location of Encryption Devices, Key

Distribution, Public Key Cryptography and Message Authentication, Approaches to Message

Authentication, SHA-1, MD5, Public-Key Cryptography Principles, RSA, Digital Signatures.

Security in Ad-hoc Networks: Principle of Mobile Ad-hoc Networks (MANET), Concept of

Trust, Modelling and enforcement of Trust based security in MANET, Introduction to

Vehicular Ad-Hoc Network (VANET) Security, Advanced security and case studies, Cyber

Security-Principles, Cyber Attacks, Wireless jamming, Security Violations, Various Cyber

security standards, Case study on enterprise networks, smart grid networks and VANET.10 Hrs

Unit – VI


References:

1. Pahalvan, K. and Krishnamurthy, P: Principles of Wireless Networks: A Unified

Approach, Pearson Education.

2. Rappaport, T.S: Wireless Communications: Principles and Practice,2nd edition.,

Pearson Education.

3. Prasant Mohapatra and Sriramamurtyhy: Ad Hoc Networks: Technologies and

Protocols, Springer International Edition, 2009

4. Kazem Sohraby, Daniel Minoli, Taieb Znati: Wireless Sensor Networks, A John

Wiley & Sons Inc. Publication, 2007

5. W.Stallings: Network Security Essentials ,2nd edition, Prentice Hall, 2003.

6. Sandat Malik: Network Security Principles and Practices, Pearson Education, 2002.

COURSE OUTCOMES


1. Explain the concepts, network architectures and applications of ad hoc and wireless

sensors networks.

2. Analyze the protocol design issues of ad hoc and sensor networks.

3. Design routing protocols for ad hoc and wireless sensor networks with respect to

some protocol design issues

4. Evaluate the network security issues in adhoc and sensor networks.

63


CIE – 50

marks




Total:50


15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.


PO1 PO2 PO3

CO1 1 2 2

CO2 2 3 3

CO3 3 3 3

CO4 3 3 3


64


1. To provide an in-depth understanding of modern antenna concepts and apply the

various figures of merit for antennas such as radiation pattern, gain, polarization,

efficiency, and others.

2. To understand electromagnetic radiation mechanism and its physics and be able to

compute radiation form several common antenna structures.

3. To provide comprehensive knowledge about different types of antennas and their

applications, with focus on aperture antenna, horn antenna, broadband antenna, and

others.

4. Analyse and design of antenna arrays with required radiation pattern characteristics.

5. To be able to critically evaluate requirements and potential design options for wireless

applications.

Unit - I

Fundamental concepts: Physical concept of radiation, Radiation pattern, near-and far-field

regions, reciprocity, directivity and gain, effective aperture, polarization, input impedance,

efficiency, Friis transmission equation, radiation integrals and auxiliary potential functions.

10 Hrs

Unit - II

Radiation from Wires and Loops: Infinitesimal dipole, finite-length dipole, linear elements near

conductors, dipoles for mobile communication, small circular loop. 8 Hrs

Unit - III

Aperture, Reflector and Broadband Antennas: Huygens' principle, radiation from rectangular

and circular apertures, radiation from sectoral and pyramidal horns, Log-periodic and Yagi

antennas, frequency independent antennas, broadcast antennas. 10 Hrs

Unit - IV

Microstrip Antennas and Antenna Arrays: Basic characteristics of microstrip antennas, feeding

methods, methods of analysis, design of rectangular and circular patch antennas, Input

impedance of patch antenna, Analysis of uniformly spaced arrays with uniform and non-

uniform excitation amplitudes. 10 Hrs

Course Code 18EC2E2B M. Tech. (Electronics and Communication)


Course title Antenna Theory and Design

Scheme and Credits

No. of Hours/Week


4 0 0 0 4


65

Unit - V

Smart Antennas systems: Generalized array signal processing; Beam forming concepts-DOB,

TRB & SSBF, switched beam antennas, spatial diversity, and fully adaptive antennas for

enhanced coverage, range extension & improvement in frequency refuse, interference nulling

for LOS & Multipath systems, SDMA concepts and Smart antennas implementation issues.

10 Hrs

Unit – VI

Recent Trends in Antenna Management Systems.

References:

1. C. A. Balanis: Antenna Theory and Design, John Wiley & Sons, 3rd edition, 2005.

2. Kraus: Antennas, McGraw Hill, TMH, 3rd edition, 2003.

3. W. L. Stutzman, and G. A. Thiele: Antenna Theory and Design, John Wiley & Sons,

2nd edition, 1998.

4. R. S. Elliot: Antenna Theory and Design, Wiley-IEEE Press, revised edition, 2003.

5. Collin and Zucker: Antenna Theory, McGraw Hill.

6. Liberti, Rappaport: Smart Antennas for Wireless Communication: IS-95 and 3rd

Generation CDMS applications, PHI.

7. Blogh & Hanzo: Third-Generation Systems and Intelligent Wireless Networking:

Smart Antennas and Adaptive Modulation, Willey, IEEE Press.

COURSE OUTCOMES


1. Understand modern antenna concepts and apply the various figures of merit for

antennas such as radiation pattern, gain, polarization, efficiency, and others.

2. Understand electromagnetic radiation mechanism and its physics and be able to

compute radiation form several common antenna structures.

3. Gain comprehensive knowledge about different types of antennas and their

applications, with focus on aperture antenna, horn antenna, broadband antenna, and

others.

4. Analyse and design of antenna arrays with required radiation pattern characteristics.

5. Critically evaluate requirements and potential design options for wireless applications.

66


CIE – 50

marks

Test I (Unit I, II )- 15 marks Two Quizzes / AAT = 5 marks

Unit VI = 5 marks

Total:50


15 marks

SEE –

100

marks


Total:100

marks



internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 1 1 2

CO2 1 1 2

CO3 1 1 2

CO4 2 1 3

CO5 2 1 3


67


1. To understand the basics of system hardware design and CMOS inverters.

2. To acquire knowledge about System partitioning techniques and interfacing between

system components.

3. To analyse and design Finite State Machines.

4. To analyse and design the layout.

5. To analyse and design the subsystem process, ALU subsystems and also can implement

ALU functions.

Unit - I

Basics of system hardware design: Hierarchical design using top-down and bottom-up

methodology. CMOS inverters -static and dynamic characteristics. 10 Hrs

Unit – II

System partitioning techniques, interfacing between system components, Handling multiple

clock domains, Synchronous and asynchronous design styles. 8 Hrs

Unit – III

Design of finite state machines, state assignment strategies. 8 Hrs

Unit – IV

Layout Design Rules: Need for Design Rules, Mead Conway Design Rules for the Silicon Gate

NMOS Process, CMOS Based Design Rules, Simple Layout Examples, Sheet Resistance, Area

Capacitance, Wire Capacitance, Drive Large Capacitive Load. 10 Hrs

Unit – V

Subsystem Design Process: General arrangement of 4-bit Arithmetic Processor, Design of 4-

bit shifter, Design of ALU sub-system, Implementing ALU functions with an adder, Carry-

look-ahead adders, Multipliers, Serial Parallel multipliers, Pipeline multiplier array, modified

Booth‟s algorithm. 12 Hrs

Unit – VI

Recent advances in low power techniques in device, circuit and system domains and selected

topics from current literature.



Course title VLSI System Design

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


68

References:

1. Sung-Mo Kang & Yusuf Leblebici: CMOS Digital Integrated Circuits - Analysis &

Design, MGH, Second edition, 1999.

2. Jan M Rabaey: Digital Integrated Circuits-A Design Perspective, Prentice Hall, 1997.

3. Eugene D Fabricus: Introduction to VLSI Design, McGraw Hill International

Edition.1990.

4. Ken Martin: Digital Integrated Circuit Design, Oxford University Press, 2000.

5. Neil H E West and Kamran Eshranghian: Principles of CMOS VLSI Design: A System

Perspective, Addision-Wesley 2nd Edition,2002.

6. R. J. Baker, H. W. Li, and D. E. Boyce: CMOS circuit design, layout, and simulation,

New York: IEEE Press, 1998.

7. David A. Hodges, Horace G. Jackson, and Resve A. Saleh: Analysis and Design of

Digital Integrated Circuits, Third Edition, McGraw-Hill, 2004.

COURSE OUTCOMES

At the end of the course, students will be able to:

1. Understand the basics of system hardware design and CMOS inverters.

2. Acquire knowledge about System partitioning techniques and interfacing between

system components.

3. Analyse and design Finite State Machines.

4. Analyse and design the layout.

5. Analyse and design the subsystem process, ALU subsystems and also can implement

ALU functions.


CIE – 50

marks

Test I (Unit I, II &III)- 20



Total:50

marks Test II (Unit IV & V) – 20

marks

SEE –

100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60 Marks


marks.

69


PO1 PO2 PO3

CO1 2 1 3

CO2 3 2 3

CO3 3 1 3

CO4 3 1 3

CO5 3 1 3


70

COURSE OBJECTIVES:

Students will learn to

1. Analyse the concepts of analog and digital communication link using optical fibre.

2. Analyse and measure the losses of optic fibre.

3. Understand the concepts of non-linear filtering techniques.

4. Analyse the concept of image processing using transformation techniques for effective

transmission.

Part A

Experiments for optical fibre communication

1. Demonstration of intensity modulation technique using analog input signal. To obtain

intensity modulation of the analog signal, transmit it over a fibre optic cable and

demodulate the same at the receiver and to get back the original signal.

2. Demonstration of intensity modulation technique using digital input signal. To obtain

intensity modulation of the digital signal, transmit it over a fibre optic cable and

demodulate the same at the receiver and to get back the original signal.

3. To measure propagation loss (coupling loss, bending loss, attenuation loss and

numerical aperture) in optical fibre.

4. To measure propagation loss (coupling loss, bending loss, attenuation loss and

numerical aperture) in optical fibre using optical power meter.

5. Establish the vertical fusion (permanent fusion and not permanent fusion) between the

optical fibre.

6. Conduct an experiment for Voice and data multiplexing using optical fibre.

Part B

Experiments for Communication Lab.

1. Developing and Testing building blocks of Communication System.

2. Implementing different types of filter operations on an image for quality image

transmission.

3. Demonstration of adaptive filters using LMS Algorithm for communication.

4. Implementing an algorithm to generate real time signals for transmission.

Course Code 18EC2L01 M. Tech. (Electronics and Communication Engineering)

Category Laboratory Semester: II

Course title Optical Fibre and Communication Lab

Scheme and Credits

No. of Hours/Week


0 0 4 0 2


71

5. Implementing an algorithm to perform video acquisition and display.

6. Create a program to discretize an image using transformation technique for effective

transmission. Also reconstruct an image from compressed version.

COURSE OUTCOMES


1. Acquire knowledge of analog and digital communication link using optical fibre and

its losses.

2. Design and conduct the experiments on non-linear filtering techniques.

3. Acquire the knowledge of image processing using transformation techniques for

effective transmission.


For examination, an experiment each from Part-A and Part-B shall be set.

Continuous Internal Evaluation

(CIE) (Laboratory– 50 marks) Marks

Semester End Evaluation

(SEE)

(Laboratory– 100 marks)

Marks

Performance of the student in the

laboratory every week 20 Write up 10

Test at the end of the semester 20

Experiment-1 (Part-A) = 35

marks

Experiment-2 (Part-B) = 35

marks

70

Viva Voce 10 Viva Voce 20

Total 100

Total (CIE) 50 Total (SEE) 50*

Note: * SEE shall be conducted for 100 marks for practical and the marks obtained shall be

reduced for 50 marks.


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COURSE OBJECTIVES:









GUIDE LINES




the Faculty/Guide.





COURSE OUTCOMES:




allocated.


team work.



Category Seminar

Course title SEMINAR – II



0 0 2 0 1


73


CIE – 50 marks


Marks =15 Seminar Report I & II Marks 20 Total:50

Marks


Marks =15





Rubrics for Evaluation: Topic - Technical Relevance, Sustainability and Societal Concerns: 35%


Report : 30%

74


1. Understand the premises informing the twin themes of liberty and freedom from a civil

rights perspective.

2. To address the growth of Indian opinion regarding modern Indian intellectual’s

constitutional role and entitlement to civil and economic rights as well as the emergence

of nationhood in the early years of Indian nationalism.

3. To address the role of socialism in India after the commencement of the Bolshevik

Revolution in 1917 and its impact on the initial drafting of the Indian Constitution.

Unit - I

History of Making of the Indian Constitution: History, Drafting Committee, (Composition &

Working). 4 Hrs

Unit - II

Philosophy of the Indian Constitution: Preamble, Salient Features. 4 Hrs

Unit - III

Contours of Constitutional Rights & Duties: Fundamental Rights, Right to Equality, Right to

Freedom, Right against Exploitation, Right to Freedom of Religion, Cultural and Educational

Rights, Right to Constitutional Remedies, Directive Principles of State Policy, Fundamental

Duties. 4 Hrs

Unit - IV

Organs of Governance: Parliament, Composition, Qualifications and Disqualifications, Powers

and Functions, Executive, President, Governor, Council of Ministers, Judiciary, Appointment

and Transfer of Judges, Qualifications, Powers and Functions. 6 Hrs

Unit - V

Local Administration: District’s Administration head: Role and Importance, Municipalities:

Introduction, Mayor and role of Elected Representative, CEO of Municipal Corporation.

Pachayati raj: Introduction, PRI: Zila Pachayat. Elected officials and their roles, CEO Zila

Pachayat: Position and role. Block level: Organizational Hierarchy (Different departments),

Village level: Role of Elected and Appointed officials, Importance of grass root democracy.

Course Code 18EC2M01 M.Tech. (Electronics and Communication Engineering)

Category Mandatory Semester: II

Course title Constitution of India

Scheme and Credits

No. of Hours/Week


2 0 0 0 1

CIE Marks: 50 SEE Marks: -- Total Max. Marks: 50 Duration of SEE: --

Prerequisites (if any): NIL

75

Election Commission: Election Commission: Role and Functioning, Chief Election

Commissioner and Election Commissioners, State Election Commission: Role and

Functioning, Institute and Bodies for the welfare of SC/ST/OBC and women. 6 Hrs

Unit – VI


References:

1. The Constitution of India, 1950 (Bare Act), Government Publication.

2. Dr. S. N. Busi: Dr. B. R. Ambedkar framing of Indian Constitution, 1st edition, 2015.

3. M. P. Jain: Indian Constitution Law, 7th edition., Lexis Nexis, 2014.

4. D.D. Basu: Introduction to the Constitution of India, Lexis Nexis, 2015.

COURSE OUTCOMES


1. Discuss the growth of the demand for civil rights in India for the bulk of Indians before

the arrival of Gandhi in Indian politics.

2. Discuss the intellectual origins of the framework of argument that informed the

conceptualization of social reforms leading to revolution of India.

3. Discuss the circumstances surrounding the foundation of the Congress Socialist Party

(CSP) under the leadership of Jawaharlal Nehru and the eventual failure of the

proposal of direct elections through adult suffrage in the Indian Constitution.

4. Discuss the passage of the Hindu Code Bill of 1956.


CIE – 50

marks



Total:50


15 marks


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CO1 1 1 1

CO2 1 1 1

CO3 1 1 1

CO4 1 1 1


76

COURSE OBJECTIVES:

1. To identify and understand the occurrence of electromagnetic interference in electronic

and electrical systems.

2. To identify noise sources, their coupling paths and their spectrum.

3. To understand the occurrence of noise in digital circuits, to determine their conducted

and radiated emissions and apply techniques to mitigate them.

4. To understand the occurrence of transients, ESD and to mitigate their interference in

the working of electronic equipment.

5. To apply different mitigation techniques for Common Mode, Differential Mode-

conducted and radiated emissions in analog electronic circuits.

Unit – I

Electromagnetic Interference - Introduction, Noise and Interference, EMC Regulations, United

States’ EMC Regulations, European Union’s EMC Requirements, Military Standards, Typical

Noise Path, Methods of Noise Coupling, Conductively Coupled Noise, Common Impedance

Coupling, Electric and Magnetic Field Coupling, Capacitive Coupling, Inductive Coupling.

8 Hrs

Unit - II

Components, High frequency behaviour and models of Capacitors, Inductors, Resistors.

Intrinsic Noise Sources, Thermal Noise, Shot Noise, Contact Noise, Popcorn Noise, Addition

of Noise Voltages. Active Device Noise, Noise Factor, Measurement of Noise Factor,

Calculating S/N Ratio and Input Noise Voltage from Noise Factor, Noise Factor of Cascaded

Stages, Bipolar Transistor Noise, Field-Effect Transistor Noise, Noise in Operational

Amplifiers. 10 Hrs

Unit - III

Contact Protection: Glow Discharges, Arc Discharges, AC Versus DC Circuits, loads with

High Inrush Currents, Transient Suppression for Inductive Loads, Balancing and Filtering,

Common-Mode Rejection Ratio, Filtering, Common-Mode-Filters. Grounding: AC Power

Distribution and Safety Grounds, Signal Grounds, Equipment Grounding. 10 Hrs


Category Program Elective Semester: III

Course title EMC of Electronics and Electrical Equipment

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


77

Unit - IV

Digital Circuits: Grounding, Frequency Versus Time Domain, Analog Versus Digital Circuits,

Digital Logic Noise, Internal Noise Sources, Digital Circuit Ground Noise, Practical Digital

Circuit Ground Systems, Ground Plane Current Distribution and Impedance, Digital Logic

Current Flow. Digital Circuit Power Distribution: Power Supply Decoupling, Transient Power

Supply Currents, Fourier Spectrum of the Transient Current, Decoupling Capacitors, Effective

Decoupling Strategies. Digital Circuit Radiation: Differential-Mode Radiation, Controlling

Differential-Mode Radiation, Common-Mode Radiation, Controlling Common-Mode

Radiation. 10 Hrs

Unit - V

Conducted Emissions: Power Line Impedance, Switched-Mode Power Supplies, Primary-to-

Secondary Common-Mode coupling, Power-Line Filters. Transient Immunity: Transient

Immunity, Electrostatic Discharge, Electrical Fast Transient, Transient Suppression Networks,

Power Line Disturbances, Power Line Transient Suppression. Electrostatic Discharge: Static

Generation, Human Body Model, Static Discharge, ESD Protection in Equipment Design,

Hardening Sensitive Circuits. EMC Measurements: Test Environment, Test Procedure,

Common-Mode Currents on Cables, Near Field Measurements, Conducted Emission Testing,

Immunity Testing, Spectrum Analysers, Radiated Emission Measurements. Shielding, Near

Fields and Far Fields, Ideal Shield, Shielding Effectiveness, Absorption Loss, Reflection Loss,

shielding with Magnetic Materials, Conductive Windows, Grounding of Shields, shielding to

Prevent Magnetic Radiation, Shielding a Receptor Against Magnetic Fields. 10 Hrs

Unit – VI


References:

1. Henry W. Ott: Electromagnetic Compatibility Engineering, John Wiley & Sons

Publication.

2. Clayton R Paul: Introduction to Electromagnetic Compatibility, 2nd edition Wiley series

in Microwave and optical engineering.

3. J. L. Norman Violette Ph.D., Donald R. J. White MSEE, Michael F. Violette:

Electromagnetic Compatibility Handbook-Springer Netherlands (1987).

4. Mark I. Montrose: Testing for EMC Compliance_ Approaches and Techniques-Wiley-

IEEE Press (2004).

COURSE OUTCOMES


1. Understand and analyse the noise generated in electronic circuits involving

semiconductor devices like diodes and transistors.

2. Apply EMI reduction techniques for reducing Common mode and differential mode

Conducted and Radiated emissions from analog and digital electronic equipment.

78

3. To identify transient sources, ESD and apply techniques to mitigate them.

4. To have knowledge of international EMC regulations and their limits for compliance.


CIE – 50

marks



Total:50


15 marks

SEE –

100

marks


Total:100

marks



internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.


PO1 PO2 PO3

CO1 3 3 2

CO2 3 3 2

CO3 3 3 2

CO4 3 3 2


79

COURSE OBJECTIVES:

1. To appreciate the requirement of pattern recognition and related topics.

2. To understand supervised classification models.

3. To understand Syntactic Pattern Recognition and explore its applications.

4. To understand different parsing algorithms.

5. To get a brief understanding and exposure of neural networks.

Unit - I

Introduction: Overview of Pattern Recognition- Relations of PR with other Systems, PR

Applications, Different Approaches to Pattern Recognition- Statistical Approach to PR,

Syntactic Approach to PR, Neural Approach to PR, Examples of PR Approaches. Other

Approaches to PR. Structure of PR System: Abstract Representation of PR Mappings, Structure

of PR System, Patterns and Feature s, Feature Extraction Examples, Object Description and

Classification, Figure Recognition, Numerical Results and Analysis. Feature Vector and

Feature Space, training and Learning in PR System 10 Hrs

Unit - II

Statistical Pattern Recognition: Introduction, Gaussian Case and Class Dependency,

Discriminate Function, Examples, Classifier Performance. Training: Parametric Estimation

and Supervised Learning, Maximum Likely Hood Estimation, Bayesian Parameter Estimation

Approach, Parzen Windows, Direct Classification Using Training set., Unsupervised Learning

and Clustering, Clustering for Unsupervised Learning and Classification. 10 Hrs

Unit - III

Syntactic Pattern Recognition: Overview of Syntactic Pattern Recognition, Grammar Based

Approaches and Applications, Examples of String Generation as Pattern Description, 2-D Line

Drawing Description Grammar, Character Description using PDL, Object Description using

Projected Cylinder Models, Block World Description Models, Heuristic Generation of

Grammars. 10 Hrs

Unit - IV

Recognition of Syntactic Description, Recognition by Matching, Recognition by Parsing, CYK

Parsing Algorithm, Augmented Transition Nets in Parsing, Graph Based structure

representation, Structured Strategy to Compare Attributed Graphs. 8 Hrs

Course Code 18EC3E1B M. Tech. (Electronics and Communication Engineering)


Course title Pattern Recognition and Machine Learning

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


80

Unit - V

Neural Pattern Recognition: Introduction to Neural Networks, Neural Network Structure for

PR Applications, Physical Neural Networks, ANN Model, NN Based PR Association, Matrix

Approaches and Examples. Feed Forward Neural Networks and Training by Back Propagation,

Hope field Approach to Neural Computing, Other related Neural Approaches and Extensions.

10 Hrs

Unit – VI


References:

1. Rober J Shelkoff, John Wiley & Sons: Pattern Recognition, Statistical, Structural and

Neural Approaches, NY 1992,

2. M.Bishop: Neural Networks for pattern recognition, Christopher Oxford University

Press.

3. Richard O.Duda: Pattern Classification, Wiley India Edition.

COURSE OUTCOMES


1. Equips the students with strong basics in machine learning (ML).

2. Study different algorithms for learning pattern classifiers and would also explore

different datasets to get a feel for ML algorithms.

3. Do syntactic pattern recognition and its applications.

4. Work on different parsing algorithms.

5. Build a career in industry using ML as well as for students wanting to pursue research

in ML.


CIE – 50

marks




Total:50


– 15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.

81


PO1 PO2 PO3

CO1 2 1 3

CO2 3 1 3

CO3 3 1 3

CO4 2 1 2

CO5 3 1 3


82

COURSE OBJECTIVES:

1. Understanding of properties of speech signal & the significance of parameters like short

time energy, short time zero crossing rate, etc.

2. To have good exposure to frequency domain analysis speech signal in terms of synthesis

& analysis.

3. To learn how to separation of source and filter properties using homomorphic analysis.

4. To learn linear predictive analysis and its significance in speech processing.

5. One important application of signal processing based on the topic learnt earlier.

Unit - I

Speech production mechanism: Mechanism of speech production, acoustic theory of speech

production, Source excitation model, Vocal tract modelling and classification of speech

sounds. Discrete time model for speech production. Time dependent processing of speech

signals: short time energy and average magnitude, short time average zero-crossing rate,

median smoothing, short time autocorrelations function. Speech Vs silence discrimination.

10 Hrs

Unit-II

Short time Fourier transform analysis and synthesis: Definitions and properties, short time

analysis, Interpretation of Fourier transform view, filtering view, time frequency resolution

trade-offs, Short time synthesis: filter bank summation method, Over-lap add method. Analysis

synthesis systems, the channel vocoder. 10 Hrs

Unit - III

Homomorphic speech processing: Definition, homomorphic systems and homomorphic

systems for convolution, Definition and properties of complex cepstrum and real cepstrum,

Properties of cepstrum. The complex cepstrum of speech, cepstrum based pitch detection and

formant estimation. 8 Hrs

Unit - IV

Linear predictive coding of speech: Basic principles of linear predictive analysis, the

autocorrelation method, the covariance method, computation of gain for model. Solution of the

LPC equation, Durbin’s recursive solution for the autocorrelation method. The prediction error

signal. Frequency domain interpretation of linear predictive analysis. LPC based pitch

detection and LPC vocoder. 10 Hrs



Course title Speech Processing

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


83

Unit - V

Speech Recognition: Introduction to speech recognition problem, Speech recognition Vs

Speaker recognition, Signal processing & analysis techniques. Introduction to pattern

recognition: decision rules and distance measures, feature selection, feature evaluation,

clustering. Hidden Markov Models. Applications: Speech enhancement, speech recognition,

gender recognition etc. 10 Hrs

Unit – VI


References:

1. A V Oppenheim and R W Schafer: Discrete Time Signal Processing, Prentice Hall India

publications.

2. L R Rabiner and R W Schafer: Digital Signal Processing of speech signals, Prentice

Hall, Englewood Cliffs, and NY.

3. Douglas O Shaughnessay: Speech communications, Human and machine, University

Press (India) Limited, 2001.

4. John R Deller, John G Proakis, and John H L Hansen: Discrete time signal processing

of speech signals, Macmillan Publishing Company, 1993.

COURSE OUTCOMES


1. Analyse the properties of speech signals.

2. Analyse the exposure to frequency domain analysis speech signal in terms of synthesis

& analysis.

3. Analyse the separation of source and filter properties using homomorphic analysis.

4. Analyse the linear prediction coefficients and its significance in speech processing.

5. Differentiate between the different speech sounds.


CIE – 50

marks



Total:50


15 marks

SEE –

100

marks


Total:100

marks



internal choice.

20* 2 = 40

Marks




20*3= 60 Marks


marks.

84


PO1 PO2 PO3

CO1 2 1 3

CO2 3 1 3

CO3 3 1 3

CO4 2 1 2

CO5 3 1 3


85

COURSE OBJECTIVES:

1. To apply engineering knowledge and specialist techniques to prevent or to reduce the

likelihood or frequency of failures.

2. To identify and correct the causes of failures that do occur, despite the efforts to prevent

them.

3. To determine ways of coping with failures that do occur, if their causes have not been

corrected.

4. To understand about the terotechnology application.

5. To apply methods for estimating the likely reliability of new designs, and for analysing

reliability data.

Unit - I

Reliability Engineering: System reliability - series, parallel and mixed configuration, Block

diagram, r-out-of-n structure, solving problems using mathematical models. Reliability

improvement and Allocation-Difficulty in achieving reliability, Method of improving

reliability during design, different techniques available to improve reliability, Reliability – Cost

trade off, Prediction and analysis, Problems. 10 Hrs

Unit - II

Maintainability: Availability & Failure Analysis: Introduction, Techniques available to

improve maintainability & availability, trade off among reliability, maintainability &

availability and analysis. Defect generation – Types of failures, defects reporting and recording,

Defect analysis, Failure analysis, Equipment down time analysis, Breakdown analysis, TA,

FMEA, FMECA. 10 Hrs

Unit - III

Maintenance Planning and Replacement: Maintenance planning – Overhaul and repair;

Meaning and difference, Optimal overhaul/Repair/Replace maintenance policy for equipment

subject to breakdown, Replacement decisions – Optimal interval between preventive

replacements of equipment subject to breakdown, group replacement. 8 Hrs

Unit - IV

Maintenance Systems: Fixed time maintenance: Condition based maintenance, Opportunity

maintenance, design out maintenance, Total productive maintenance, Inspection decision-

Optimal inspection frequency, non-destructive inspection, PERT & CPM in maintenance,

Concept of terro technology. 10Hrs

Course Code 18EC3P1A M.Tech. (Electronics and Communication Engineering)

Category Elective Semester: III

Course title Reliability Engineering

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


86

Unit - V

Condition Monitoring : Techniques-visual monitoring, temperature monitoring, vibration

monitoring, lubricant monitoring, Crack monitoring, Thickness monitoring, Noise and sound

monitoring, concept of S/N ratio, Condition monitoring of hydraulic system, Machine

diagnostics - Objectives, Monitoring strategies, Examples of monitoring and diagnosis. Safety

Aspects: Importance of safety, Factors affecting safety, Safety aspects of site and plant,

Instruments for safe operation, Safety education and training, Personnel safety, Disaster

planning and measuring safety effectiveness, Future trends in industrial safety. 10 Hrs

Unit – VI


References:

1. Reliability engineering by K.K. Agarwal.

2. Concepts in Reliability Engineering L.S. Srinath Affiliated East West Press

3. Maintainability and Reliability Handbook Editors: Ireson W.A. and C.F. Coombs

McGraw Hill Inc.

4. Failure Diagnosis and Performance Monitoring L.F. Pau Marcel Dekker

5. Industrial Maintenance Management S.K. Srivastava S. Chand & Co Ltd.

6. Management of Industrial Maintenance Kelly and M.J. Harris Butterworth and Co.

7. Maintenance, Replacement and Reliability A.K.S. Jardine Pitman Publishing

8. Engineering Maintainability: How to Design for Reliability and Easy Maintenance B.S.

Dhillon Prentice Hall of India.

COURSE OUTCOMES


1. Explain, how system reliability can be measured and how reliability growth models can

be used for reliability prediction

2. Describe safety arguments and how these are used.

3. Discuss the problems of safety assurance.

4. Do conditional monitoring on various concepts.

5. Introduce safety cases and how these are used in safety validation.

87


CIE – 50

marks




Total:50


– 15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60

Marks


marks.


PO1 PO2 PO3

CO1 2 1 3

CO2 3 1 3

CO3 3 1 3

CO4 2 1 2

CO5 3 1 3


88

COURSE OBJECTIVES:

1. A broad knowledge of mobile commerce applications and technologies.

2. The skills to identify and design the infrastructure-support for mobile commerce

services.

3. A high-level understanding of requirements of diverse m-commerce services.

4. A high-level knowledge of management challenges in mobile commerce services.

5. Skills to produce a high-level design of infrastructure for mobile commerce

applications.

Unit - I

E-Commerce- Fundamental and applications, E-commerce concepts, Anytime commerce, The

dimensions of e-commerce, E-commerce business models. M-commerce concepts: An

information systems perspective, Anytime, anywhere commerce, The impact of mobility on e-

commerce, M-commerce business models, The m-commerce value chain, M-commerce

information system functional model. 10 Hrs

Unit - II

M-commerce technology: Mobile clients, Types: mobile phones, PDAs, laptop computers,

vehicle-mounted devices, hybrid devices, Device limitations: considerations for user interface

and application design, Device location technology: GPS, triangulation 10 Hrs

Unit - III

Mobile client software: Mobile device operating systems, Micro browsers, Mobile device

communications protocols: WAP, i-Mode, Mobile device page description languages, Mobile

device application software. 8 Hrs

Unit -IV

M-commerce applications: Mobile financial services, Mobile advertising, Mobile inventory

management, Mobile product location and shopping, Mobile proactive service management,

Mobile business services, Mobile auction, Mobile entertainment, Mobile office, Mobile

distance education, Mobile information access, Vehicular mobile commerce, Telematics,

Location-based applications, M-commerce cases. 10 Hrs

Unit V

M-commerce trust, security, and payment: Trust in m-commerce, Encryption, Authentication,

confidentiality, integrity and non-epudiation, Mobile payment. Global M-commerce issues:

Course Code 18EC3P1B M.Tech. (Electronics and Communication Engineering)


Course title M-Commerce and Applications

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


89

Technology issues, Mobile client issues, Communications infrastructure issues, Other

technology issues, Application issues. 10 Hrs

Unit – VI

Recent advances and beyond m-commerce, research topics in e-commerce and m-commerce.

References:

1. G. Winfield Treese and Lawrence C.S: Designing Systems for Internet Commerce,

Pearson Education, LPE, 2002.

2. Fensel, Dieter, Brodie M. L: Ontologies A Silver Bullet for Knowledge Management

& E-Commerce, Allied Publishers, 2004.

3. Zimmermann, Olaf, Tomlinson, Mark R, Peuser, Stefan: Perspectives on Web Services,

Allied Publishers, 2004.

4. E.Brian Mennecke, J.Troy Strader, Mobile Commerce: Technology, Theory and

Applications, Idea Group Inc., IRM press, 2003.

5. Ravi Kalakota, B.Andrew Whinston: Frontiers of Electronic Commerce, Pearson

Education, 2003.

6. P. J. Louis: M-Commerce Crash Course, McGraw- Hill Companies February 2001.

7. Paul May, Mobile Commerce: Opportunities, Applications, and Technologies of

Wireless Business, Cambridge University Press March 2001.

COURSE OUTCOMES


1. Learn the technology, the applications, and the business models of mobile commerce.

2. Understand the challenges and business opportunities of mobile commerce.

3. Recognize important research issues in mobile commerce.

4. An understanding of multiple factors in adoption and usage of mobile commerce

services.

5. A global and integrated view of the emerging mobile commerce services.


CIE – 50

marks



Total:50


15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks


IV, Unit V & Unit VI respectively shall be


20*3= 60 Marks


marks.

90


PO1 PO2 PO3

CO1 2 1 2

CO2 1 3 2

CO3 2 2 3

CO4 2 2 3

CO5 3 2 1


91

COURSE OBJECTIVES:

1. Understand the elements of optimal problem formulation.

2. Apply Direct and gradient based optimization method to solve single and multivariable

Problems.

3. Analyze Un-constrained and constrained nonlinear function for minimization or

maximization.

4. Understand Non-traditional optimization methods such as Genetic Algorithms.

5. Apply Traditional and Non-Traditional Optimization Algorithms to solve Engineering

problems.

Unit - I

Introduction, Optimal Problem Formulation, Optimal Design of Various Engineering

Problems, Direct & Gradient Based Methods of Single Variable Optimization. 8 Hrs

Unit - II

Multivariable Optimization Techniques, Unidirectional Search Methods, Direct Search

Methods (Evolutionary Optimization Method, Simplex Search Method, Hooke-Jeeves Pattern

Search Method, Powell’s Conjugate Direction Method), Gradient Based Methods (Cauchy’s

Steepest Descent Method, Newton’s Method, Marquardt’s Method, Conjugate Gradient

Method, Variable –Metric Method). 10 Hrs

Unit - III

Constrained Optimization Algorithms Transformation Methods (Penalty Function Method,

Method of Multipliers), Direct Search (Variable Elimination Method, Complex Search

Method, Random Search Method), Linearized Search (Frank-Wolfe Method, Cutting Plane

Method), Feasible Direction Methods, Reduced Gradient Methods, Gradient Projection

Methods. 10 Hrs

Unit - IV

Introduction to Genetic Algorithms, Working Principles, Coding, Fitness Function, GA

operators, Difference and Similarities Between GAs and Traditional Method, GAs for Non-

Linear Single and Multivariable Unconstrained and constrained Optimization, Real Coded-

GAs, Multi-Objective GAs. 10 Hrs

Unit - V

Linear Programming, Non Traditional Optimization Algorithms, Simulated Annealing,

Specialized Algorithms for Integer and Geometric Programming, Global Optimization using

Course Code 18EC3P1C M.Tech. (Electronics and Communication Engineering)

Category Open Elective Semester: III

Course title Optimization Techniques

Scheme and

Credits

No. of Hours/Week


4 0 0 0 4


92

Traditional and Non-Traditional Optimization Algorithms, Software related to Optimization.

10 Hrs

Unit – VI

Recent advances and research being done in the relevant topics.

References:

1. Kalyanmoy Deb: Optimization for Engineering Design, Prentice Hall of India, New Delhi.

2. R.C. Johnson: Optimum Design of Mechanical Elements, Willey, New York, 1980.

3. J. S. Arora: Introduction to Optimum Design, McGraw Hill, New York, 1989.

4. S. S. Stricker: Optimising performance of energy systems, Battelle Press, New York,

1985.

5. L.C.W. Dixon: Non-Linear Optimisation - Theory and Algorithms, Birkhauser, Boston,

1980.

6. R.J. Duffin, E.L. Peterson and C.Zener: Geometric Programming-Theory and

Applications, Willey, New York, 1967.

7. G.B. Dantzig: Linear Programming and Extensions, Princeton University Press, Princeton,

N. J., 1963.

8. R. Bellman: Dynamic Programming, Princeton University Press, Princeton, N.J. 1957.

COURSE OUTCOMES


1. Describe modeling techniques to formulate a real life problem into a mathematical

model.

2. Implement Direct and gradient based optimization method to solve single and

multivariable Problems.

3. Distinguish Un-constrained and Constrained nonlinear function for minimization or

maximization.

4. Illustrate Non-traditional optimization methods such as Genetic Algorithms.

5. Operate software related to optimization and implement computer programs to solve

practical problems using different optimization algorithms.


CIE – 50

marks

Test I (Unit I, II )- 15 marks Quiz / AAT =5 marks

Unit IV (AAT) = 15 marks

Total:50


15 marks

SEE – 100

marks


Total:100

marks




20* 2 = 40

Marks




20*3= 60 Marks

93


marks.


PO1 PO2 PO3

CO1 1 1 1

CO2 1 1 2

CO3 1 1 2

CO4 2 1 2

CO5 2 1 2


94

MINI PROJECT/INTERNSHIP

GUIDELINES FOR INTERNSHIP

1. Student has to approach the concerned heads of various Industries/organization, which

are related to the field of specialization of the M. Tech program.

2. Student has to approach the HR through the request letter from the Chairperson of the

Department.

3. If any student gets internship, he/she has to submit the internship offer letter duly

signed by the concerned authority of the company in a file to the Chairperson of the

Department.

4. The internship on full time basis will be between II and III semester for a period of 8

weeks.

5. The progress has to be reported periodically to the faculty or to the Guide assigned by

the Chairperson as per the format acceptable to the respective industry /organizations

and to the Institution.

6. At the end of the internship the student has to prepare a detailed report.

7. Students are advised to use ICT tools such as Skype to report their progress and

submission of periodic progress reports to the faculty in charge or guide.

8. Duly signed report from internal supervisor (faculty in charge) and external supervisor

from the organization where internship is offered has to be submitted to the

Chairperson of the Department for his/her signature and further processing for

evaluation as per the guidelines.

MINI PROJECT

Recent appropriate topics of real time applications shall be implemented.

REPORT WRITING FOR MINI PROJECT/INTERNSHIP

The reports shall be printed on bond paper - 80GSM, back to back print, with soft

binding.

- A4 size with 1.5 spacing and times new roman font size 12.

The broad format of final report shall be as follows:

Cover Page

Certificate from College

Certificate from Industry / Organization of internship

Course Code 18EC3I01 M. Tech (Electronics and Communication Engineering)

Category Internship/ Mini Project Semester: III

Course title INTERNSHIP / MINI PROJECT

Scheme and

Credits

No. of Hours/Week


--- --- 10 --- 5


95

Acknowledgement

Table of Contents

Chapter 1 – Introduction, existing system, motivation, contribution, scope and applications of

project,

Chapter 2 – Literature survey, list each paper its pros and cons

Chapter 3 - Problem statement, proposed algorithm/ Model, summaries the tasks performed

during 8-week period

Chapter 4 — Implementation — Highlight specific functions code with its Importance.

Chapter 5 Conclusion

References & Annexure

COURSE OUTCOMES: The student will be able to:

1. Understand the structure, culture, various industrial practices,

professional ethics and working of an industry and gain awareness of

possible careers.

2. Apply critical thinking in identification and implementation of real

time problems by integrating knowledge and skills.

3. Perform efficiently in taking up assigned responsibilities,

communicate efficiently and professionally.

4. Prepare technical report and make oral presentation.


CIE – 50 marks Faculty in charge will evaluate and allot the marks based

on the performance and report submitted by the candidate.

Total:50 marks

SEE – 50

marks The candidate has to make a presentation to the committee

consist of chairman of the department, one faulty nominated

by the chairman along with the in charge faculty of the

candidate.

Total:50 marks

Note: SEE shall be conducted for 100 marks and the marks obtained shall be reduced

for 50 marks.


PO1 PO2 PO3

CO1 1 2 3

CO2 2 2 2

CO3 2 3 3

CO4 2 3 3


96

COURSE OBJECTIVES:









GUIDE LINES




the Faculty/Guide.





COURSE OUTCOMES:




allocated.


team work.



Category Seminar

Course title SEMINAR – III



0 0 2 0 1


97


CIE – 50

marks

Phase -1 Presentation Marks =15 Seminar Report I: Marks 10

Seminar Report II: Marks 10 Total:50 Marks Phase -2 Presentation Marks =15








Report : 30%

98

Course Code 18EC3D 01 M. Tech (Electronics and Communication

Engineering) Category Dissertation Work Semester: III Course title DISSERTATION PHASE -I

Scheme and Credits

No. of Hours/Week

Total hours = 80 L T P S Credits 0 0 10 0 5

CIE Marks: 50 SEE Marks:50 Total Max. Marks:

100

Duration of SEE: 1 Hour

COURSE OBJECTIVES:

1. Choose a problem applying relevant knowledge and skills acquired

during the course. Formulate the specifications of the project work,

identify the set of feasible solutions, prepare, and execute project plan

considering professional, cultural and societal factors. Identify the

problem-solving methodology using literature survey and present the same

2. Develop experimental planning and use appropriate techniques and tools

to conduct experiments. Evaluate and critically examine the outcomes.

Conclude the results and identify relevant applications.

3. Preparation of synopsis, preliminary report for approval of selected

topic along with literature survey, objectives and methodology.

GUIDELINES

1. Dissertation work will have to be done by only one student in his/her area

of interest.

2. Each student has to select a contemporary topic that will use the technical

knowledge of their program of specialization.

3. Allocation of guides preferably in accordance with the expertise of the

faculty.

4. The project can be carried out on-campus or in an industry or an

organisation with prior approval from the Chairman of the Department.

5. The standard duration for Phase-I is 12 weeks.

6. The student should meet guide at least once in a week.

The broad format of the dissertation final report shall be as follows:

The reports shall be printed on bond paper – 80 GSM, back to back print, with soft

binding - A4 size with 1.5 spacing and Times New Roman font size 12.

• Cover Page

• Certificate from College

• Certificate from Industry / Organization

• Acknowledgement

• Table of Contents, List of figures and tables, Nomenclature

Chapter 1 - Introduction

Chapter 2 – Literature survey, list each paper its pros and cons

Chapter 3 - System Design- Problem statement, proposed Algorithm/model.

Summaries of the tasks performed during 12-weeks period

99

Chapter 4 Results- Add each screen shots of results and explain them

Chapter 5- Conclusions and Future Enhancement


COURSE OUTCOME:

After going through this course the student will able to

1. Conceptualize design and implementation solution for specific problem.

2. Presentation of the solution through presentations and technical reports.

3. Analyse the project planning skills.


CIE –50 marks

1.Marks awarded by guide (Internal examiner) = 25 marks 2.Marks awarded by the department dissertation evaluation

committee = 25 marks

50 Marks

SEE – 50 marks

Presentation of dissertation phase-I in presence of Guide

(Internal examiner) and external examiner

100*

Marks

*SEE shall be conducted for 100 marks and the marks obtained shall be reduced

for 50 marks.


PO1 PO2 PO3

CO1 2 2 2

CO2 1 3 2

CO3 1 2 2


100

COURSE OBJECTIVES:









GUIDE LINES




the Faculty/Guide.





COURSE OUTCOMES:




allocated.


team work.



Category Seminar

Course title SEMINAR – IV

Scheme and Credits

No. of Hours/Week


0 0 2 0 1


101


CIE – 50

marks

Phase -1 Presentation Marks =15 Seminar Report I: Marks 10

Seminar Report II: Marks 10 Total:50 Marks

Phase -2 Presentation Marks =15








Report : 30%

102

Course Code 18EC4D01 M. Tech.(Electronics and Communication Engineering)

Category Dissertation Work Semester: IV

Course title DISSERTATION PHASE -II

Scheme and Credits

No. of Hours/Week


--- --- 30 --- 15

CIE Marks: 50 SEE Marks: 50 Total Max. Marks: 100 Duration of SEE: 3 Hours

COURSE OBJECTIVES:

1. Document the findings and write a report in prescribed format.

2. Demonstrate working such as problem formulation, design of experiments,

implementation and demonstration.

3. Present and publish the outcomes of the project work in a refereed journal/

conference.

GUIDELINES

1. Additional literature survey and narrow down the area of the dissertation

topic compared to phase I. 2. Ensure that dissertation work progress is in the right direction, every task

undertaken has to be checked with dissertation topic.

3. Revise the scope of dissertation if required in view of development and

availability of resources.

The broad format of the dissertation final report shall be as follows

The reports shall be printed on bond paper – 80 GSM, back to back print, with

soft binding - A4 size with 1.5 spacing and times new roman font size 12.

• Cover Page

• Certificate from College

• Certificate from Industry / Organization

• Acknowledgement

• Abstract

• Table of Contents, List of figures and tables, Nomenclature

Chapter 1 Introduction, existing system, motivation, contribution,

scope and applications of project

Chapter 2 Literature survey, summarize each paper with its pros and cons

Chapter 3 Background required for the project

Chapter 4 Implementation - Problem statement, proposed algorithm/model and

summaries the tasks.

Chapter 5-Results- add each screen shot of results and explain them

Chapter 7- Conclusions and Future Enhancement


103

COURSE OUTCOMES:


1. To prepare the project report as per the guidelines

2. To improve the technical skills of writing research paper

3. Demonstrate the project

4. Fulfil the publication of outcome of dissertation work in

journal/conference


CIE – 100

marks

1.Marks awarded by guide = 50 marks

2.Marks awarded by the department dissertation evaluation committee =

50 marks

100

marks

SEE – 100 marks

1. Dissertation evaluation by guide (Internal examiner) = 50 marks 2. Viva- Voce examination conducted by guide and external

examiner who evaluated the dissertation work =50 marks

100 marks


PO1 PO2 PO3

CO1 3 3 3

CO2 2 1 3

CO3 1 2 3

CO4 2 1 3


Documents

M. Tech in Electronics and Communication Engineeringeng.bangaloreuniversity.ac.in/wp-content/uploads/2018/12/CBCS-Syllabus... · UVCE, KR Circle, Bangalore to approve the scheme and