ANNA UNIVERSITY, CHENNAI

NON - AUTONOMOUS COLLEGES AFFILIATED ANNA UNIVERSITY

M.E. COMMUNICATION AND NETWORKING
REGULATIONS – 2021
CHOICE BASED CREDIT SYSTEM

1. PROGRAMME EDUCATIONAL OBJECTIVES (PEOs):

I. Acquire core competence and excel in communication and networking based

industries.
II. Serve in research establishments and contribute towards the development of
sophisticated signal processing systems.
III. Provide consultancy and offer networking solutions for establishments.
IV. Work towards doctoral and post-doctoral degrees in the area of Data Centre
Networking and 5G Networks
V. Become entrepreneurs and contribute towards indigenous product development which
could compete in global market.

2. PROGRAM OUTCOMES (POs)

An ability to independently carry out research/investigation and development
1.
work to solve practical problems
2. An ability to write and present a substantial technical report/document
Students should be able to demonstrate a degree of mastery over the area as
3. per the specialization of the program. The mastery should be at a level
higher than the requirements in the appropriate bachelor program
Foundation of communication and signal processing systems: Ability to
4. understand the basics principles of Networking, communication, signal
processing, Security Network and understand their implementation issues.
Foundations of Mathematical concepts: Ability to apply mathematical knowledge
5.
to solve complex signal processing algorithms and networking issues.
Applications of Communication and networking and Research ability: Ability to
6. use knowledge in various Domains to identify research gaps and provide
innovative solutions.
 MAPPING OF COURSE OUTCOMES AND PROGRAMME OUTCOMES
COURSE NAME PO1 PO2 PO3 PO4 PO5 PO6
Linear Algebra, Probability and Queueing Theory
Research Methodology and IPR
SEMESTER I

Statistical Signal Processing

Advanced Wireless Communication 1.8 1 1 1.25 1.5 1.6
Modern Digital Communication Systems
High Performance Networks 2.4 - 3 2.4 2.6 1
Communication Networks Laboratory 2 3 3 3 1 1
YEAR I

Advanced Digital Signal Processing Laboratory 1.2 1 1 1 - 1

Cognitive Radio Networks 3 - 3 3 2 3
2 2 2 - 1
SEMESTER II

Internet of Things and Cloud 1

RF System and Antenna Design 2.7 2.7 2.4 1.8 2.6 2.7
Machine Learning 3 1 3 - 2 2
Internet of Things Laboratory 2.1 3 2.1 2 - 1.5
Term Paper Writing and seminar 1.6 1.6 1.8 1.8 1.8 -
SEMESTER III

Data Centre Networking

Project Work I
YEAR II

SEMESTER IV

Project Work II
 ANNA UNIVERSITY, CHENNAI
NON - AUTONOMOUS COLLEGES AFFILIATED ANNA UNIVERSITY
M.E. COMMUNICATION AND NETWORKING
REGULATIONS – 2021
CHOICE BASED CREDIT SYSTEM
I TO IV SEMESTERS CURRICULA AND SYLLABI
SEMESTER I

PERIODS TOTAL
S. COURSE CATE- PER WEEK
COURSE TITLE CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
THEORY
Linear Algebra, Probability and
1. MA4156 FC 3 1 0 4 4
Queueing Theory
2. RM4151 Research Methodology and IPR RMC 2 0 0 2 2
3. DS4152 Statistical Signal Processing PCC 3 0 0 3 3
4. CU4151 Advanced Wireless Communication PCC 3 0 0 3 3
Modern Digital Communication
5. EL4151 PCC 3 0 0 3 3
Systems
6. NC4101 High Performance Networks PCC 3 0 0 3 3
7. Audit Course – I* AC 2 0 0 2 0
PRACTICALS
Communication Networks
8. NC4111 PCC 0 0 3 3 1.5
Laboratory
Advanced Digital Signal Processing
9. CU4161 PCC 0 0 3 3 1.5
Laboratory
TOTAL 19 1 6 26 21
*Audit course is optional
SEMESTER II
PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
THEORY
1. NC4251 Cognitive Radio Networks PCC 3 0 0 3 3
2. NC4201 Internet of Things and Cloud PCC 3 0 0 3 3
3. NC4202 RF System and Antenna Design PCC 3 0 0 3 3
4. CP4252 Machine Learning PCC 3 0 2 5 4
5. Professional Elective I PEC 3 0 0 3 3
6. Professional Elective II PEC 3 0 0 3 3
7. Audit Course – II* AC 2 0 0 2 0
PRACTICALS
8. NC4211 Internet of Things Laboratory PCC 0 0 4 4 2
9. NC4212 Term Paper Writing and seminar EEC 0 0 2 2 1
TOTAL 20 0 8 28 22
*Audit course is optional
 SEMESTER III

PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
THEORY
1. NC4301 Data Centre Networking PCC 3 0 0 3 3
2. Professional Elective III PEC 3 0 0 3 3
3. Professional Elective IV PEC 3 0 2 5 4
4. Open Elective OEC 3 0 0 3 3
PRACTICALS
5. NC4311 Project Work I EEC 0 0 12 12 6
TOTAL 12 0 14 26 19

SEMESTER IV

PERIODS TOTAL
S. COURSE CATE- PER WEEK
COURSE TITLE CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
PRACTICALS
1. NC4411 Project Work II EEC 0 0 24 24 12
TOTAL 0 0 24 24 12

TOTAL NO. OF CREDITS: 74

PROFESSIONAL ELECTIVES

SEMESTER II, ELECTIVE I

PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
Multimedia Compression
1. MU4091 PEC 3 0 0 3 3
Techniques
2. NC4001 Network Analytics PEC 3 0 0 3 3
Advanced Satellite
3. CU4071 Communication and Navigation PEC 3 0 0 3 3
Systems
Signal Integrity for High Speed
4. AP4095 PEC 3 0 0 3 3
Design
 SEMESTER II, ELECTIVE II

PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
1. NC4002 Server Architecture PEC 3 0 0 3 3
High Speed Switching and
2. CU4072 PEC 3 0 0 3 3
Networking
3. EL4391 Optical Networks PEC 3 0 0 3 3
4. CU4074 Speech Processing PEC 3 0 0 3 3

SEMESTER III, ELECTIVE III

PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
1. CU4075 Ultra Wideband Communications PEC 3 0 0 3 3
2. NC4003 Broadband Networks PEC 3 0 0 3 3
3. NC4004 Virtual Private Networks PEC 3 0 0 3 3
Telecommunication Switching
4. NC4005 PEC 3 0 0 3 3
System Modeling and Simulation

SEMESTER III, ELECTIVE IV

PERIODS TOTAL
S. COURSE CATE-
COURSE TITLE PER WEEK CONTACT CREDITS
NO. CODE GORY
L T P PERIODS
Image Processing and Video
1. CU4073 PEC 3 0 2 5 4
Analytics
2. DS4071 Radar Signal Processing PEC 3 0 2 5 4
Network Protocols and
3. NC4006 PEC 3 0 2 5 4
Programming
4. EL4072 Signal Detection and Estimation PEC 3 0 2 5 4
 AUDIT COURSES (AC)

Registration for any of these courses is optional to students

PERIODS PER
SL. CREDITS
COURSE COURSE TITLE WEEK
NO
CODE L T P
1. AX4091 English for Research Paper Writing 2 0 0 0
2. AX4092 Disaster Management 2 0 0 0
3. AX4093 Constitution of India 2 0 0 0
4. AX4094 நற் றமிழ் இலக்கியம் 2 0 0 0

LIST OF OPEN ELECTIVES FOR PG PROGRAMMES

PERIODS PER
SL. COURSE
COURSE TITLE WEEK
NO. CODE CREDITS
L T P
OCE431 Integrated Water Resources
1. 3 0 0 3
Management
2. OCE432 Water, Sanitation and Health 3 0 0 3
OCE433 Principles of Sustainable
3. 3 0 0 3
Development
4. OCE434 Environmental Impact Assessment 3 0 0 3
5. OIC431Blockchain Technologies 3 0 0 3
6. OIC432Deep Learning 3 0 0 3
7. OME431Vibration and Noise Control Strategies 3 0 0 3
8. OME432Energy Conservation and Management 3 0 0 3
in Domestic Sectors
9. OME433 Additive Manufacturing 3 0 0 3
10. OME434 Electric Vehicle Technology 3 0 0 3
11. OME435 New Product Development 3 0 0 3
12. OBA431 Sustainable Management 3 0 0 3
13. OBA432 Micro and Small Business Management 3 0 0 3
14. OBA433 Intellectual Property Rights 3 0 0 3
15. OBA434 Ethical Management 3 0 0 3
16. ET4251 IoT for Smart Systems 3 0 0 3
17. ET4072 Machine Learning and Deep Learning 3 0 0 3
18. PX4012 Renewable Energy Technology 3 0 0 3
19. PS4093 Smart Grid 3 0 0 3
20. CP4391 Security Practices 3 0 0 3
21. MP4251 Cloud Computing Technologies 3 0 0 3
22. IF4072 Design Thinking 3 0 0 3
23. MU4153 Principles of Multimedia 3 0 0 3
24. CX4016 Environmental Sustainability 3 0 0 3
25. TX4092 Textile Reinforced Composites 3 0 0 3
 26. NT4002 Nanocomposite Materials 3 0 0 3
27. BY4016 IPR, Biosafety and Entrepreneurship 3 0 0 3

FOUNDATION COURSES (FC)

S. COURSE PERIODS PER WEEK
COURSE TITLE CREDITS SEMESTER
NO CODE Lecture Tutorial Practical
1. Linear Algebra, Probability
MA4156 and Queueing Theory 3 1 0 4 I

PROFESSIONAL CORE COURSES (PCC)

S. COURSE PERIODS PER WEEK
COURSE TITLE CREDITS SEMESTER
NO CODE Lecture Tutorial Practical
1. DS4152 I
Statistical Signal Processing 3 0 0 3
2. Advanced Wireless I
CU4151 3 0 0 3
Communication
3. EL4151 Modern Digital 3 0 0 3 I
4. Communication Systems I
NC4101 High Performance Networks 3 0 0 3

5. Communication Networks I
NC4111 0 0 3 1 . 5
Laboratory
6. Advanced Digital Signal I
CU4161 0 0 3 1 . 5
Processing Laboratory
7. II
NC4251 Cognitive Radio Networks 3 0 0 3
8. II
NC4201 Internet of Things and Cloud 3 0 0 3

9. RF System and Antenna II

NC4202 3 0 0 3
Design
10. CP4252 II
Machine Learning 3 0 2 4
11. NC4211 II
Internet of Things Laboratory 0 0 4 2

12. NC4301 III

Data Centre Networking 3 0 0 3

RESEARCH METHODOLOGY AND IPR COURSES (RMC)

S. COURSE PERIODS PER WEEK
COURSE TITLE CREDITS SEMESTER
NO CODE Lecture Tutorial Practical
1. RM4151 Research Methodology and 2 0 0 2 1
IPR
 EMPLOYABILITY ENHANCEMENT COURSES (EEC)
S. COURSE PERIODS PER WEEK
COURSE TITLE CREDITS SEMESTER
NO CODE Lecture Tutorial Practical
1. NC4212 Term Paper Writing and 0 0 2 1 II
Seminar
2. NC4311 Project Work I 0 0 12 6 III
3. NC4411 Project Work II 0 0 24 12 IV

SUMMARY

NAME OF THE PROGRAMME: M.E. COMMUNICATION AND NETWORKING

Sl. CREDITS CREDITS

No. SUBJECT AREA
PER SEMESTER TOTAL

I II III IV
1. FC 04 00 00 00 04
2. PCC 15 16 03 00 34
3. PEC 00 06 07 00 13
4. RMC 02 00 00 00 02
5. OEC 00 00 03 00 03
6. EEC 00 01 06 12 19
7. Non Credit/Audit Course   00 00
8. TOTAL CREDIT 21 23 19 12 75
MA4156 LINEAR ALGEBRA, PROBABILITY AND QUEUEING THEORY L T P C
3 1 0 4
COURSE OBJECTIVES:
The objective of this course is to enable the student to
 grasap the basic concepts of Probability, Random variables, correlation and regression.
 characterize the phenomena which evolve with respect to time in a probabilistic manner.
 encourage students to develop a working knowledge of the ventral ideas of linear algebra.
 acquire skills in analyzing Queueing Models.
 develop a fundamental understanding of linear programming models and apply the simplex
method for solving linear programming problems.

UNIT – I LINEAR ALGEBRA 12

Vector spaces – Norms – Inner products – Eigenvalues using QR transformations –
QR factorization – Generalized eigenvectors – Jordan Canonical forms – Singular value
decomposition and applications – Pseudo inverse – Least square approximations.

UNIT – II PROBABILITY AND ROANDOM VARIABLES 12

Probability Concepts – Axioms of probability – Conditional probability – Baye’s theorem – Random
variables – Probability functions – Two-dimensional random variables – Joint distributions –
Marginal and conditional distributions – Correlation – Linear Regression.

UNIT – III RANDOM PROCESSES 12

Classification – Stationary random process – Markov process – Markov chain – Poisson process –
Gaussian process – Auto correlation – Cross correlation.

UNIT – IV QUEUEING THEORY 12

Markovian queues – Single and multi-server models – Little’s formula – Steady state analysis –
Self-service queue.

UNIT – V LINEAR PROGRAMMING 12

Formulation – Graphical solution – Simplex method – Big M method – Variants of Simplex method
– Transportation problems – Assignment models.
TOTAL: 60 PERIODS
COURSE OUTCOMES:
After the completion of the course, the student will be able to
 apply various methods in Linear Algebra to solve the system of linear equations.
 use two-dimensional random variables, correlations and regression in solving application
problem.
 apply the ideas of Random Processes.
 understand the basic characteristic features of a queueing system and acquire skills in
analyzing queueing models.
 apply the Simplex method for solving linear programming problems.

REFERENCES:
1. Miller,S.L. and Childers D.G., “Probability and Random Processes with Applications to
Signal Processing and Communications”, Academic Press,2004.
2. Friedberg A.H, Insel A.J. and Spence L, “Linear Algebra”, Prentice Hall of India, New Delhi,
2004.
 3. Gross, D., Shortie, J.F., Thompson, J.M and Harris, C.M., “Fundamentals of Queueing
Theory”, 4th Edition, Wiley,2014.
4. T. Veerarajan, “Probability, Statistics and Random Process with Queueing Theory and
Queueing Network, Tata McGraw Hill, 4th Edition,2017.
5. Taha H.A., “Operations Research: An Introduction”, 9th Edition, Pearson Education Asia,
New Delhi,2016.
6. Richard Bronson, ”Matrix Operations” Schaum’s outline series, McGraw Hill,
2nd Edition, New York,2011.
7. Oliver C. Ibe, “ Fundamentals of Applied Probability and Random Processes”, Academic
Press, (An Imprint of Elsevier), Boston,2014.

RM4151 RESEARCH METHODOLOGY AND IPR L T P C

2 0 0 2

UNIT I RESEARCH DESIGN 6

Overview of research process and design, Use of Secondary and exploratory data to answer the
research question, Qualitative research, Observation studies, Experiments and Surveys.

UNIT II DATA COLLECTION AND SOURCES 6

Measurements, Measurement Scales, Questionnaires and Instruments, Sampling and methods.
Data - Preparing, Exploring, examining and displaying.

UNIT III DATA ANALYSIS AND REPORTING 6

Overview of Multivariate analysis, Hypotheses testing and Measures of Association.
Presenting Insights and findings using written reports and oral presentation.

UNIT IV INTELLECTUAL PROPERTY RIGHTS 6

Intellectual Property – The concept of IPR, Evolution and development of concept of IPR, IPR
development process, Trade secrets, utility Models, IPR & Bio diversity, Role of WIPO and WTO
in IPR establishments, Right of Property, Common rules of IPR practices, Types and Features of
IPR Agreement, Trademark, Functions of UNESCO in IPR maintenance.

UNIT V PATENTS 6
Patents – objectives and benefits of patent, Concept, features of patent, Inventive step,
Specification, Types of patent application, process E-filling, Examination of patent, Grant of patent,
Revocation, Equitable Assignments, Licences, Licensing of related patents, patent agents,
Registration of patent agents.
TOTAL : 30 PERIODS
REFERENCES:
1. Cooper Donald R, Schindler Pamela S and Sharma JK, “Business Research Methods”,
Tata McGraw Hill Education, 11e (2012).
2. Catherine J. Holland, “Intellectual property: Patents, Trademarks, Copyrights, Trade Secrets”,
Entrepreneur Press, 2007.
3. David Hunt, Long Nguyen, Matthew Rodgers, “Patent searching: tools & techniques”, Wiley,
2007.
4. The Institute of Company Secretaries of India, Statutory body under an Act of parliament,
“Professional Programme Intellectual Property Rights, Law and practice”, September 2013.
DS4152 STATISTICAL SIGNAL PROCESSING L T P C
3 0 0 3
COURSE OBJECTIVES:
 To introduce the basics of random signal processing
 To learn the concept of estimation and signal modeling
 To know about optimum filters and adaptive filtering and its applications

UNIT I DISCRETE RANDOM SIGNAL PROCESSING 9

Discrete random processes – Ensemble averages – Wide sense stationary process – Properties -
Ergodic process – Sample mean & variance - Auto-correlation and Auto-correlation matrices- Auto
covariance and Cross covariance- Properties – White noise process – Wiener Khintchine relation
- Power spectral density – Filtering random process – Spectral Factorization Theorem – Special
types of Random Processes – AR,MA, ARMA Processes – Yule-Walker equations.

UNIT II PARAMETER ESTIMATION THEORY 9

Principle of estimation and applications-Properties of estimates-unbiased and consistent
estimators, Minimum Variance Unbiased Estimates (MVUE)-Cramer Rao bound- Efficient
estimators; Criteria of estimation: Methods of maximum likelihood and its properties ; Bayesian
estimation : Mean square error and MMSE, Mean Absolute error, Hit and Miss cost function and
MAP estimation

UNIT III SPECTRUM ESTIMATION 9

Estimation of spectra from finite duration signals, Bias and Consistency of estimators - Non-
Parametric methods: Periodogram, Modified Periodogram, Bartlett, Welch and Blackman-Tukey
methods, Parametric Methods: AR, MA and ARMA spectrum estimation - Detection of Harmonic
signals - Performance analysis of estimators. MUSIC and ESPRIT algorithms

UNIT IV SIGNAL MODELING AND OPTIMUM FILTERS 9

Introduction- Least square method – Pade approximation – Prony’s method – Levinson Recursion
– Lattice filter - FIR Wiener filter – Filtering – Linear Prediction – Non Causal and Causal IIR
Wiener Filter -– MSE – State-space model and the optimal state estimation problem, discrete
Kalman filter, continuous-time Kalman filter, extended Kalman filter.

UNIT V ADAPTIVE FILTERS 9

FIR Adaptive filters - Newton's steepest descent method – Widrow Hoff LMS Adaptive algorithm –
Convergence – Normalized LMS – Applications: Noise cancellation, channel equalization, echo
canceller, Adaptive Recursive Filters: RLS adaptive algorithm, Exponentially weighted RLS-sliding
window RLS. Matrix inversion Lemma, Initialization, tracking of nonstationarity.

COURSE OUTCOMES:
On the successful completion of the course, students will be able to
CO1: Analyze discrete time random processes
CO2: Apply appropriate model for estimation and signal modeling for the given problem
CO3: Analyze non-parametric and parametric methods for spectral estimation
CO4: Design optimum filter for the given problem
CO5: Design adaptive filters for different applications

TOTAL:45 PERIODS
REFERENCES:
1. Monson. H. Hayes, Statistical Digital Signal Processing and Modelling, John Willey and
Sons, 1996 (Reprint 2008)
2. Simon Haykin, Adaptive Filter Theory, Pearson Prentice Hall, 5th edition, 2014
3. D.G. Manolakis, V.K. Ingle and S.M. Kogon, Statistical and Adaptive SignalProcessing,
Artech House Publishers, 2005.
4. Steven. M. Kay, Modern Spectral Estimation, Theory and Application, Pearson India, 2009
5. A.Veloni, N I. Miridakis, E Boukouvala, Digital and Statistical SignalProcessing, CRC
Press, 2019
6. S Nandi, D Kundu, Statistical Signal Processing- Frequency Estimation, Springer Nature
Singapore, 2ndedition , 2020
7. M.D. Srinath, P.K. Rajasekaran and R. Viswanathan, Statistical Signal Processing with
Applications, PHI, 1996.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 1 1 1 3 3

2 3 1 1 1 3 3

3 3 1 1 1 3 3

4 3 1 1 1 3 3

5 3 1 1 1 3 3

Avg 3 1 1 1 3 3

CU4151 ADVANCED WIRELESS COMMUNICATION L T P C

3 0 0 3

COURSE OBJECTIVES:
 To learn the concepts of wireless communication.
 To know about the various propagation methods, Channel models, capacity calculations
 multiple antennas and multiple user techniques used in the mobile communication.

UNIT I WIRELESS CHANNEL PROPAGATION AND MODEL 9

Propagation of EM signals in wireless channel – Reflection, diffraction and Scattering-free space,
two ray. Small scale fading- channel classification- channel models – COST -231 Hata model,
NLOS Multipath Fading Models: Rayleigh, Rician, Nakagami, 5G Channel model requirements and
Measurements, propagation scenarios, METIS channel models, Map-based model, stochastic
model.

UNIT II CAPACITY OF WIRELESS CHANNELS 9

Capacity in AWGN, capacity of flat fading channel, capacity of frequency selective fading channels.
Capacity of MISO, SIMO systems.
UNIT III DIVERSITY 9
Realization of independent fading paths, Receiver Diversity: Selection combining, Threshold
Combining, Maximum-ratio Combining, Equal gain Combining. Transmitter Diversity: Channel
known at transmitter, Channel unknown at the transmitter.

UNIT IV MIMO COMMUNICATIONS 9

Narrowband MIMO model, Parallel decomposition of the MIMO channel, MIMO channel capacity,
MIMO Diversity Gain: Beam forming, Diversity-Multiplexing trade-offs, Space time Modulation and
coding : STBC,STTC, Spatial Multiplexing and BLAST Architectures.

UNIT V MULTI USER SYSTEMS 9

Introduction to MUD, Linear decorrelator, MMSE MUD, Adaptive MUD, MIMO-MUD Application of
convex optimization to wireless design.

TOTAL: 45 PERIODS
COURSE OUTCOME:
At the end of the course, the student will be able to:
CO1: Analyze the wireless channel characteristics and identify appropriate channel models
CO2:Understand the mathematics behind the capacity calculation under different channel
conditions
CO3: Understand the implication of diversity combining methods and the knowledge of channel
CO4: Understand the concepts in MIMO Communications
CO5: Understand mulitiple access techniques and their use in different multi-user scenarios.

REFERENCES:
1. David Tse and Pramod Viswanath, Fundamentals of wireless communications, Cambridge
University Press, First Edition, 2012
2. Andrea Goldsmith, Wireless Communications, Cambridge University Press, 2007.
3. Harry R. Anderson, “Fixed Broadband Wireless System Design”, John Wiley, India, 2003.
4. Andreas.F. Molisch, “Wireless Communications”, John Wiley, India, 2006.
5. Simon Haykin & Michael Moher, “Modern Wireless Communications”, Pearson Education,
2007.
6. Rappaport. T.S., “Wireless communications”, Pearson Education, 2003.
7. Gordon L. Stuber, “Principles of Mobile Communication”, Springer International Ltd., 2001.
8. Upena Dalal, “Wireless Communication”, Oxford Higher Education, 2009.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 1 1 - - 2

2 2 - 1 2 1 -

3 2 1 1 1 - -

4 2 1 1 1 2 2

5 1 - 1 1 - 1

Avg 1.8 1 1 1.25 1.5 1.6

EL4151 MODERN DIGITAL COMMUNICATION SYSTEMS L T P C
3 0 0 3
COURSE OBJECTIVES:
 To understand the coherent and non coherent receivers and their performance under
AWGN channel conditions
 To understand the effect of signalling through bandlimited channels and Equalization
techniques used to overcome ISI
 To understand different channel models, channel capacity and different block coding
techniques
 To understand the principle of convolutional coding and different decoding techniques
 To understand the basics of OFDM as a multicarrier communication and CDMA as a
multiuser communication technique.

UNIT I COHERENT AND NON-COHERENT COMMUNICATION 9

Coherent receivers – Optimum receivers in WGN – IQ modulation & demodulation – QAM
modulation and demodulation Noncoherent receivers in random phase channels; MFSK receivers –
Rayleigh and Rician channels – Partially coherent receivers – DPSK; M-PSK; M-DPSK-BER
Performance Analysis. Carrier Synchronization Bit synchronization.

UNIT II EQUALIZATION TECHNIQUES 9

Band Limited Channels- ISI – Nyquist Criterion- Controlled ISI-Partial Response signals-
Equalization algorithms– Linear equalizer – Decision feedback equalization – Adaptive Equalization
algorithms.
UNIT III BLOCK CODED DIGITAL COMMUNICATION 9
Architecture and performance – Binary block codes; – Shannon’s channel coding theorem; Channel
capacity; Matched filter; Concepts of Spread spectrum communication – Coded BPSK and DPSK
demodulators– Linear block codes; Hamming; Golay; Cyclic; BCH ; Reed – Solomon codes. Space
time block codes.

UNIT IV CONVOLUTIONAL CODED DIGITAL COMMUNICATION 9

Representation of codes using Polynomial, State diagram, Tree diagram, and Trellis diagram –
Decoding techniques using Maximum likelihood, Viterbi algorithm, Sequential and Threshold
methods – Error probability performance for BPSK and Viterbi algorithm, Turbo Coding.

UNIT V MULTICARRIER AND MULTIUSER COMMUNICATIONS 9

Single Vs multicarrier modulation, orthogonal frequency division multiplexing (OFDM), Modulation
and demodulation in an OFDM system, An FFT algorithmic implementation of an OFDM system, Bit
and power allocation in multicarrier modulation, Peak-to-average ratio in multicarrier modulation.
Introduction to CDMA systems, multiuser detection in CDMA systems – optimum multiuser receiver,
suboptimum detectors, successive interference cancellation.

COURSE OUTCOMES
Upon completion of the course, the students will be able to

CO1: Differentiate coherent and non coherent receivers and analyse their performance under
AWGN channel conditions
CO2: Illustrate the effect of signalling through bandlimited channels and Equalization techniques
used to overcome ISI
CO3: Determine the channel capacity and design various block coding techniques to combat
channel errors
CO4: Construct convolutional coders and analyze the performance of different decoding techniques.
CO5: Describe the basics of OFDM as a multicarrier communication and CDMA as a multiuser
communication technique.

TOTAL:45 PERIODS
REFERENCES:
1. John G. Proakis and Masoud Salehi “Digital Communication”, Fifth Edition, Mc Graw Hill
Publication, 2014.
2. Simon Haykin, “Digital communication Systems”, John Wiley and sons, 2014.
3. Bernard Sklar and Pabitra Kumar Ray, “Digital Communications Fundamentals &
Applications ”, second edition, Pearson Education, 2009.
4. Lathi B P and Zhi Ding, “Modern Digital and Analog communication Systems", Oxford
University Press, 2011.
5. Richard Van Nee & Ramjee Prasad, “OFDM for Multimedia Communications” Artech House
Publication, 2001.
6. Theodore S.Rappaport, ‘Wireless Communications”, 2nd edition, Pearson Education, 2002.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 - 3 2 2 1

2 2 - 3 2 2 1

3 3 - 3 3 3 1

4 3 - 3 3 3 1

5 2 - 3 2 3 1

Avg 2.4 - 3 2.4 2.6 1

NC4101 HIGH PERFORMANCE NETWORKS L T PC

3 0 0 3

COURSE OBJECTIVES:
 To introduce the relevance of this course to the existing technology through
demonstrations, case studies, simulations, contributions of scientists, national, international
policies with a futuristic vision along with social-economic impact and issues.
 To introduce the layered communication architectures of high performance network.
 To understand various layer protocols and security issues.

UNIT I INTRODUCTION 9
Review of OSI, TCP/IP, Multiplexing, Modes of communication, Switching, Routing, SONET-
DWDM-DSL-ISDN-BISDN, ATM-Features, Addressing signaling & Routing, Header structure, ATM
adaptation layer, Management control, Interworking with ATM.

UNIT II MULTIMEDIA NETWORKING APPLICATIONS 9

Streaming stored audio and video-Best effort service,-protocols for real time interactive
applications, Beyond best effort, scheduling and policing mechanism integrated services, RSVP,
differentiated services.
UNIT III ADVANCED NETWORKS CONCEPTS 9
Architecture and performance, binary block codes, orthogonal, Biorthogonal, VPN-remote access
VPN, site-to-site VPN, tunneling to PPP, security in VPN, MPLS-operation, routing, tunneling and
use of FEC, traffic engineering, MPLS based VPN, overlay networks, P2P connections.

UNIT IV TRAFFIC MODELLING 9

Little’s theorem, Need for modeling, Poisson modeling and its failure, Non-poisson models,
Network performance evaluation, Non-Markovian –Pollaczek-Khinchin formula and M/G/1, M/D/1,
self-similar models and Batch-arrival model, Networks of Queues- Burke’s theorem and Jackson
theorem.

UNIT V NETWORK SECURITY AND MANAGEMENT 9

Network Architecture, SNMP basics, SNMP naming and OIDs, MIBs, SNMPv1 data types, SNMP
operations, Authentication applications- Kerberos, X.509 authentication service, Electronic mail
security-Pretty Good Privacy, IP Security-IP security overview, Firewalls- Firewall design
principles.
TOTAL:45 PERIODS
COURSE OUTCOMES:
CO1:Students will be able to differentiate concepts of ATM, SONET and ISDN.
CO2:Students will have an understanding of various multimedia networking applications and
services.
CO3:Students will have an exposure to the advanced networks concepts.
CO4:Students will be able to model the traffic based on the various models and theorems.
CO5:Students Will have an understanding of the various networks security issues and
management concepts.

REFERENCES:
1. J.F.Kurose & K.W. Ross, “Computer Networking-A Top Down Approach Featuring the
Internet”, Pearson, 6th Edition, 2012.
2. Walrand. J. Varatya, “High Performance Communication Networks”, Morgan Kaufman
publishers, 2nd edition, 2000.
3. Fred Halsall and Lingana Gouda Kulkami, “Computer Networking and the Internet”, Fifth
Edition, Pearson Education, 2012.
4. Behrouz A. Forouzan, “Cryptography & Network Security”, Fourth Edition.

NC4111 COMMUNICATION NETWORKS LABORATORY L T P C

0 0 3 1.5
COURSE OBJECTIVES:
 To introduce the relevance of this course to the existing technology through
demonstrations, case studies, simulations, contributions of scientists, national/international
policies with a futuristic vision along with socio-economic impact and issues.
 To understand various protocols of physical, MAC and routing layers.
 To understand the security issues in wired and wireless network and implement the security
algorithms.

LISTOF EXPERIMENTS:
Simulation and performance evaluation using
 (QUALNET/GLOMOSIM/NS2/ MATLAB/PYTHON/ Equivalent) of:
1 MAC protocols for wired and wireless networks – CSMA – CD/CA, 802.11, ALOHA,ect.,
2 LLC Protocols for wired and wireless networks - STOP & WAIT, SLIDING WINDOW, GO
BACK – N, SELECTIVE REPEAT, ETC.,
3 Routing protocols for wired and wireless networks – AODV, DSR,OSPF,ETC.,
4 Scheduling policies and queuing method on the network performance – FIFO, ROUND –
PRIORITY BASED, etc.,
5 Cellular network modeling and performance analysis in terms of blocking probability and
Spectral Efficiency – GSM,LTE,etc.,
6 Wireless Sensor Network implementation and analysis in terms of through put and Energy
Efficiency
7 Throughput, End-End delay comparison study of 802.11a,b,802.16
8 Analyze the low power communication standards - WSN, 6 LOWPAN, LORA.
9 Simulation analysis of Cooperative communication – Relay, Amplify & Forward, Decode &
Forward, Network Coding, etc.,
10 Analyze block ciphers, Data Encryption Standard (DES), Advanced Encryption Standard
(AES) and RSA.
TOTAL : 45 PERIODS
COURSE OUTCOMES:
 Students will be able to design and analyze the performance of physical and MAC layer
protocols for wired and wireless networks.
 Students will understand the need for various routing, scheduling and queuing algorithms
for the wired and wireless networks.
 Students can be able to design and analyze the cellular an wireless sensor network
architectures.
 Students will be able to analyze the performance of understand the performance analysis of
existing wireless technologies.
 Students will have an exposure to the various issues and the algorithms to protect the
networks.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 3 3 3 1 1

2 2 3 3 3 1 1

3 2 3 3 3 1 1

4 2 3 3 3 1 1

5 2 3 3 3 1 1

Avg 2 3 3 3 1 1
CU4161 ADVANCED DIGITAL SIGNAL PROCESSING LABORATORY L T P C
0 0 3 1.5
COURSE OBJECTIVES:
 To enable the student to verify the basic principles of random signal processing, spectral
estimation methods and additive white Gaussian noise (AWGN) channel characterization
 To design and conduct experiments, as well as to analyze and interpret data to produce
meaningful conclusions and match with theoretical concepts.

LIST OF EXPERIMENTS
USE APPROPRIATE SIMULATION TOOLS FOR THE FOLLOWING EXPERIMENTS:
1. Generation of Standard discrete time sequences (Unit Impulse, Unit Step, Unit Ramp,
Sinusoidal and exponential signals) and carrying out of arithmetic operations and plot the
results
2. Generation of random sequences satisfying the given probability distributions such as
Uniform, Gaussian, Rayleigh and Rician.
3. Design of FIR filters for the given specification and plot the frequency response of the
designed filter
4. Design of IIR filters for the given specification and plot the frequency response of the
designed filter
5. Analysis of finite word length effects of FIR filter coefficients
6. Estimation of power spectrum of the given random sequence using Nonparametric methods
(Bartlett, Welch and Blackman Tukey)
7. Estimation of power spectrum of the given random sequence using parametric methods
(AR, MA and ARMA)
8. Upsampling the discrete time sequence by L times and plot the spectrum of both the given
sequence and upsampled sequence
9. Downsampling the discrete time sequence by M times and plot the spectrum of both the
given sequence and down sampled sequence
10. Design an adaptive filter to extract a desired signal from the given noisy signal by
cancelling the noise using LMS Algorithm
11. Design an adaptive filter to extract a desired signal from the given noisy signal by
cancelling the noise using RLS Algorithm
12. Implementation of Digital Filter Banks for the given specifications

TOTAL : 45 PERIODS
COURSE OUTCOMES:
Upon the completion of course, students will be able to
 Generate deterministic/Random sequences using simulation tool
 Design and analyze the frequency response of FIR/IIR digital filters for the given
specifications
 Estimate power spectrum of the given random sequence using parametric/nonparametric
estimation methods
 Implement adaptive filters using LMS/RLS algorithm
 Analyze the discrete time systems at various sampling rates
 CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 1 - - - 1

2 1 1 - - - 1

3 1 1 - - - 1

4 2 1 1 1 - 1

5 1 1 - - - 1

Avg 1.2 1 1 1 - 1

NC4251 COGNITIVE RADIO NETWORKS LTPC

3 003
COURSE OBJECTIVES:
 Understand the fundamental concepts of cognitive radio networks.
 Develop the cognitive radio, as well as techniques for spectrum holes detection that
cognitive radio takes advantages in order to exploit it.
 Understand the functions of MAC layer and Network layer and its various protocols
 Understand fundamental issues regarding dynamic spectrum access, the radio-resource
management and trading
 Interpret the basics of security management and the various attacks & its countermeasures

UNIT I INTRODUCTION TO COGNITIVE RADIO 9

Cognitive Radio : Techniques and signal processing History and background, Communication
policy and Spectrum Management, Cognitive radio cycle, Cognitive radio architecture, SDR
architecture for cognitive radio, Spectrum sensing Single node sensing: energy detection, cyclo
stationary and wavelet based sensing- problem formulation and performance analysis based on
probability of detection Vs SNR. Cooperative sensing: different fusion rules, wideband spectrum

UNIT II SPECTRUM SENSING AND TRADING 9

Introduction –Spectrum Sensing – Multiband Spectrum Sensing – Sensing Techniques – Other
algorithms – Comparison – Performance Measure & Design Trade-Offs : Receiver operating
characteristics – Throughput Performance measure –Fundamental limits and trade-off. Introduction
to spectrum trading, classification to spectrum trading, radio resource pricing, brief discussion on
economics theories in DSA (utility, auction theory), classification of auctions (single auctions,
double auctions, concurrent, sequential)

UNIT III MAC PROTOCOLS AND NETWORK LAYER DESIGN 9

Functionality of MAC protocol in spectrum access –classification –Interframe spacing and MAC
challenges – QOS – Spectrum sharing in CRAHN –CRAHN models – CSMA/CA based MAC
protocols for CRAHN – Routing in CRN– Centralized and Distributed protocols – Geographical
Protocol
UNIT IV DYNAMIC SPECTRUM ACCESS AND MANAGEMENT 9
Spectrum broker, Dynamic spectrum access architecture- centralized dynamic spectrum access,
distributed dynamic spectrum access, Inter- and intra-RAN dynamic spectrum allocation, Spectrum
management, Spectrum sharing, Spectrum mobility issues

UNIT V TRUSTED COGNITIVE RADIO NETWORKS AND RESEARCH 9

CHALLENGES
Trust for CRN :Fundamentals – Models – Effects of Trust Management –Security properties in
CRN – Route Disruption attacks –Jamming attacks –PU Emulation attacks. Network layer and
transport layer issues, cross layer design for cognitive radio networks.

COURSE OUTCOMES:
Upon the completion of the course, students will be able to
CO1: Understand the fundamental concepts of cognitive radio networks.
CO2: Interpret the basics of various spectrum sensing techniques and algorithms
CO3: Understand the functions of MAC layer and Network layer and its various protocols
CO4: Recognize the concepts of cooperative spectrum sensing and handoff process
CO5: Understand fundamental issues regarding dynamic spectrum access, the radio-resource
management and trading, as well as a number of optimization techniques for better spectrum
exploitation.
TOTAL:45 PERIODS
REFERENCES
1. Cognitive Radio, Software Defined Radio and Adaptive Wireless Systems”, Hüseyin
Arslan, Springer, ISBN 978-1-4020-5541-6 (HB), 2007.
2. Linda Doyle, “Essentials of Cognitive Radio”, Cambridge University Press, 2009.
3. Kwang-Cheng Chen, Ramjee Prasad, “Cognitive radio networks”, John Wiley & Sons
Ltd., 2009.
4. Cognitive Radio Technology”, by Bruce A. Fette, Elsevier, ISBN 10: 0-7506-7952-2,
2006.
5. Alexander M. Wyglinski, Maziar Nekovee, and Y. Thomas Hou, “Cognitive Radio
Communications and Networks - Principles and Practice”, Elsevier Inc., 2010.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 - 3 3 2 3

2 3 - 3 3 2 3

3 3 - 3 3 2 3

4 3 - 3 3 2 3

5 3 - 3 3 2 3

Avg 3 - 3 3 2 3
NC4201 L T PC
INTERNET OF THINGS AND CLOUD
3 0 0 3
COURSE OBJECTIVES:
 To understand Smart Objects and IoT Architectures
 To learn about various IOT-related protocols
 To build simple IoT Systems using Arduino and Raspberry Pi.
 To understand data analytics and cloud in the context of IoT
 To develop IoT infrastructure for popular applications

UNIT I FUNDAMENTALS OF IoT 9

Introduction to IoT – IoT definition – Characteristics – IoT Complete Architectural Stack – IoT
enabling Technologies – IoT Challenges. Sensors and Hardware for IoT – Hardware Platforms –
Arduino, Raspberry Pi, Node MCU. A Case study with any one of the boards and data acquisition
from sensors.

UNIT II PROTOCOLS FOR IoT 9

Infrastructure protocol (IPV4/V6/RPL), Identification (URIs), Transport (Wifi, Lifi, BLE), Discovery,
Data Protocols, Device Management Protocols. – A Case Study with MQTT/CoAP usage-IoT
privacy, security and vulnerability solutions.

UNIT III CASE STUDIES/INDUSTRIAL APPLICATIONS 9

Case studies with architectural analysis: IoT applications – Smart City – Smart Water – Smart
Agriculture – Smart Energy – Smart Healthcare – Smart Transportation – Smart Retail – Smart
waste management.
UNIT IV CLOUD COMPUTING INTRODUCTION 9

Introduction to Cloud Computing - Service Model – Deployment Model- Virtualization Concepts –

Cloud Platforms – Amazon AWS – Microsoft Azure – Google APIs.

UNIT V IoT AND CLOUD 9

IoT and the Cloud - Role of Cloud Computing in IoT - AWS Components - S3 – Lambda - AWS IoT
Core -Connecting a web application to AWS IoT using MQTT- AWS IoT Examples. Security
Concerns, Risk Issues, and Legal Aspects of Cloud Computing- Cloud Data Security

COURSE OUTCOMES:
At the end of the course, the student will be able to:
CO1: Understand the various concept of the IoT and their technologies..
CO2: Develop IoT application using different hardware platforms
CO3: Implement the various IoT Protocols
CO4: Understand the basic principles of cloud computing.
CO5: Develop and deploy the IoT application into cloud environment
TOTAL:45 PERIODS
REFERENCES
1. "The Internet of Things: Enabling Technologies, Platforms, and Use Cases", by Pethuru Raj
and Anupama C. Raman ,CRC Press, 2017
2. Adrian McEwen, Designing the Internet of Things, Wiley,2013.
3. EMC Education Services, “Data Science and Big Data Analytics: Discovering, Analyzing,
Visualizing and Presenting Data”, Wiley publishers, 2015.
 4. Simon Walkowiak, “Big Data Analytics with R” PackT Publishers, 2016
5. Bart Baesens, “Analytics in a Big Data World: The Essential Guide to Data Science and its
Applications”, Wiley Publishers, 2015.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 - 2 2 - 1

2 2 1 2 2 - 1

3 2 1 2 2 - 1

4 2 - 2 2 - 1

5 2 1 2 2 - 1

Avg 2 1 2 2 - 1

NC4202 LT PC
RF SYSTEM AND ANTENNA DESIGN
3 0 0 3
COURSE OBJECTIVES:
 To model high frequency circuit using scattering matrices
 To acquire knowledge on the RF filter design
 To design microwave amplifier
 To get familiar with design of RF oscillator
 To learn about the high frequency antennas

UNIT I NETWORKS AND MATRICES 9

Scattering and chain scattering matrices, Generalized scattering matrix, Analysis of two port
networks, Interconnection of networks. Positive real concepts, scattering matrix, representation of
microwave components (directional coupler, circulators, hybrids and isolators).

UNIT II HIGH FREQUENCY CIRCUIT DESIGN 9

Tuned Circuits, Filter design- Butterworth filter, Chebyshev filter, impedance matching. High
frequency amplifier, BJT and MOSFET amplifier, Broadband Amplifiers RF Oscillators, Colpitts,
Hartley Oscillators, PLL. High Frequency Integrated Circuits.

UNIT III MICROWAVE AMPLIFIER DESIGN 9

Types of amplifiers, Power gain equations. Introduction to narrow band amplifiers basic concepts,
Maximum gain design, Low noise design. High power design, Negative resistance, reflection
amplifiers – various kinds – stability considerations, Microwave transistor amplifier design – input
and output matching networks – constant noise figure circuits.

UNIT IV MICROWAVE TRANSISTOR OSCILLATOR DESIGN 9

One port and two port negative resistance oscillators. Oscillator configurations, Oscillator design
using large signal measurements, Introduction to Microwave CAD packages, Microwave integrated
circuits, MIC design for lumped elements.

UNIT V RF AND MICROWAVE ANTENNAS 9

Radiation from surface current and line current distribution, Basic Antenna parameters, Feeding
 structure-Patch Antenna, Ring Antenna, Micro strip dipole, Micro strip arrays, Traveling wave
Antenna, Antenna System for Mobile Radio-Antenna Measurements and Instrumentation.
Propagation characteristics of RF and Microwave signals, Introduction to EBG structures.
TOTAL:45 PERIODS
COURSE OUTCOMES:
Upon completion of the course, students will be able to
CO1: Apply scattering parameters in RF circuit and systems
CO2:Develop filters for high frequency applications
CO3: Design amplifiers for RF transceivers
CO4: Understand the RF oscillator design techniques
CO5: Develop antennas for high frequency applications.

REFERENCES
1. Matthew M.Radmanesh, "RF and Microwave Design Essentials”, Author House,
Bloomington, 2007.
2. Reinhold Ludwig and Gene Bogdanov, "RF Circuit Design – Theory and Applications", 2nd
Edition, Pearson, 2012.
3. E.da Silva, "High Frequency and Microwave Engineering", Butterworth Heinmann
Publications, Oxford, 2001.
4. David.M.Pozar, "Microwave Engineering", John Wiley and Sons, Fourth Edition, 2012.
5. Kraus.J.D, Marhefka.R.J. Khan.A.S. “Antennas and Wave Propagation”, Fifth edition, Tata
Mc Graw Hill, New Delhi, 2017

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - 1 1 1 -

2 3 3 2 2 3 3

3 3 3 3 2 3 3

4 2 2 3 2 3 2

5 3 3 3 2 3 3

Avg 11/4=2.7 11/4=2.7 12/5=2.4 9/5=1.8 13/5=2.6 11/4=2.7

CP4252 MACHINE LEARNING LT PC

3 0 2 4
COURSE OBJECTIVES:
 To understand the concepts and mathematical foundations of machine learning and types of
problems tackled by machine learning
 To explore the different supervised learning techniques including ensemble methods
 To learn different aspects of unsupervised learning and reinforcement learning
 To learn the role of probabilistic methods for machine learning
 To understand the basic concepts of neural networks and deep learning

UNIT I INTRODUCTION AND MATHEMATICAL FOUNDATIONS 9

What is Machine Learning? Need –History – Definitions – Applications - Advantages, Disadvantages
& Challenges -Types of Machine Learning Problems – Mathematical Foundations - Linear Algebra &
Analytical Geometry -Probability and Statistics- Bayesian Conditional Probability -Vector Calculus &
Optimization - Decision Theory - Information theory

UNIT II SUPERVISED LEARNING 9

Introduction-Discriminative and Generative Models -Linear Regression - Least Squares -Under-fitting
/ Overfitting -Cross-Validation – Lasso Regression- Classification - Logistic Regression- Gradient
Linear Models -Support Vector Machines –Kernel Methods -Instance based Methods - K-Nearest
Neighbours - Tree based Methods –Decision Trees –ID3 – CART - Ensemble Methods –Random
Forest - Evaluation of Classification Algorithms

UNIT III UNSUPERVISED LEARNING AND REINFORCEMENT LEARNING 9

Introduction - Clustering Algorithms -K – Means – Hierarchical Clustering - Cluster Validity -
Dimensionality Reduction –Principal Component Analysis – Recommendation Systems - EM
algorithm. Reinforcement Learning – Elements -Model based Learning – Temporal Difference
Learning

UNIT IV PROBABILISTIC METHODS FOR LEARNING- 9

Introduction -Naïve Bayes Algorithm -Maximum Likelihood -Maximum Apriori -Bayesian Belief
Networks -Probabilistic Modelling of Problems -Inference in Bayesian Belief Networks – Probability
Density Estimation - Sequence Models – Markov Models – Hidden Markov Models

UNIT V NEURAL NETWORKS AND DEEP LEARNING 9

Neural Networks – Biological Motivation- Perceptron – Multi-layer Perceptron – Feed Forward
Network – Back Propagation-Activation and Loss Functions- Limitations of Machine Learning – Deep
Learning– Convolution Neural Networks – Recurrent Neural Networks – Use cases
45 PERIODS
SUGGESTED ACTIVITIES:
1. Give an example from our daily life for each type of machine learning problem
2. Study at least 3 Tools available for Machine Learning and discuss pros & cons of each
3. Take an example of a classification problem. Draw different decision trees for the example
and explain the pros and cons of each decision variable at each level of the tree
4. Outline 10 machine learning applications in healthcare
5. Give 5 examples where sequential models are suitable.
6. Give at least 5 recent applications of CNN
PRACTICAL EXERCISES: 30 PERIODS
1. Implement a Linear Regression with a Real Dataset
(https://www.kaggle.com/harrywang/housing). Experiment with different features in building a model.
Tune the model's hyperparameters.
2. Implement a binary classification model. That is, answers a binary question such as "Are
houses in this neighborhood above a certain price?"(use data from exercise 1). Modify the
classification threshold and determine how that modification influences the model. Experiment with
different classification metrics to determine your model's effectiveness.
3. Classification with Nearest Neighbours. In this question, you will use the scikit-learn’s KNN
classifer to classify real vs. fake news headlines. The aim of this question is for you to read the scikit-
learn API and get comfortable with training/validation splits. Use California Housing Dataset
4. In this exercise, you'll experiment with validation sets and test sets using the dataset. Split
a training set into a smaller training set and a validation set. Analyze deltas between training set and
validation set results. Test the trained model with a test set to determine whether your trained model
is overfitting. Detect and fix a common training problem.
5. Implement the k-means algorithm using https://archive.ics.uci.edu/ml/datasets/Codon+usage
dataset
6. Implement the Naïve Bayes Classifier using
https://archive.ics.uci.edu/ml/datasets/Gait+Classification dataset
7. Project - (in Pairs) Your project must implement one or more machine learning algorithms and
apply them to some data.
a. Your project may be a comparison of several existing algorithms, or it may propose a
new algorithm in which case you still must compare it to at least one other approach.
b. You can either pick a project of your own design, or you can choose from the set of
pre-defined projects.
c. You are free to use any third-party ideas or code that you wish as long as it is publicly
available.
d. You must properly provide references to any work that is not your own in the write-up.
e. Project proposal You must turn in a brief project proposal. Your project proposal
should describe the idea behind your project. You should also briefly describe software
you will need to write, and papers (2-3) you plan to read.
List of Projects (datasets available)
1. Sentiment Analysis of Product Reviews
2. Stock Prediction
3. Sales Forecasting
4. Music Recommendation
5. Handwriting Digit Classification
6. Fake News Detection
7. Sports Prediction
8. Object Detection
9. Disease Prediction

COURSE OUTCOMES:
Upon the completion of course, students will be able to
CO1: Understand and outline problems for each type of machine learning
CO2: Design a Decision tree and Random forest for an application
CO3: Implement Probabilistic Discriminative and Generative algorithms for an application and
analyze the results.
CO4: Use a tool to implement typical Clustering algorithms for different types of applications.
CO5: Design and implement an HMM for a Sequence Model type of application and identify
applications suitable for different types of Machine Learning with suitable justification.
TOTAL:75 PERIODS
REFERENCES
1. Stephen Marsland, “Machine Learning: An Algorithmic Perspective”, Chapman & Hall/CRC,
2nd Edition, 2014.
2. Kevin Murphy, “Machine Learning: A Probabilistic Perspective”, MIT Press, 2012
3. Ethem Alpaydin, “Introduction to Machine Learning”, Third Edition, Adaptive Computation and
Machine Learning Series, MIT Press, 2014
4. Tom M Mitchell, “Machine Learning”, McGraw Hill Education, 2013.
5. Peter Flach, “Machine Learning: The Art and Science of Algorithms that Make Sense of Data”,
First Edition, Cambridge University Press, 2012.
6. Shai Shalev-Shwartz and Shai Ben-David, “Understanding Machine Learning: From Theory to
Algorithms”, Cambridge University Press, 2015
 7. Christopher Bishop, “Pattern Recognition and Machine Learning”, Springer, 2007.
8. Hal Daumé III, “A Course in Machine Learning”, 2017 (freely available online)
9. Trevor Hastie, Robert Tibshirani, Jerome Friedman, “The Elements of Statistical Learning”,
Springer, 2009 (freely available online)
10. Aurélien Géron , Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts,
Tools, and Techniques to Build Intelligent Systems 2nd Edition, o'reilly, (2017)

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 1 3 - 2 2

2 3 1 3 - 2 2

3 3 1 3 - 2 2

4 3 1 3 - 2 2

5 3 1 3 - 2 2

Avg 3 1 3 - 2 2

NC4211 INTERNET OF THINGS LABORATORY LT PC

0 04 2
COURSE OBJECTIVES:
 To implement the concepts of IoT.
 To interface different platforms like Arduino and Raspberry pi
 To design and implement the related applications .
 To learn how to analysis the data in IoT.

LIST OF EXPERIMENT:
1. Introduction to Arduino platform and programming
2. Interfacing Arduino to Zigbee module
3. Interfacing Arduino to GSM module
4. Interfacing Arduino to Bluetooth Module
5. Introduction to Raspberry PI platform and python programming
6. Interfacing sensors to Raspberry PI
7. Communicate between Arduino and Raspberry PI using any wireless medium
8. Setup a cloud platform to log the data
9. Log Data using Raspberry PI and upload to the cloud platform.

10. Design an IoT based system

TOTAL: 60 PERIODS
COURSE OUTCOMES:
Upon completion of the course, students will be able to
CO1: Use microcontroller based embedded platforms in IoT
CO2:Use microprocessor based embedded platforms in IoT
CO3:Use wireless peripherals for exchange of data.
CO4:Make use of Cloud platform to upload and analyse any sensor data
CO5:Use of Devices, Gateways and Data Management in IoT.
 CO6:Use the knowledge and skills acquired during the course to build and test a complete,
working IoT system involving prototyping, programming and data analysis.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 3 2 2 - 2

2 2 3 2 2 - 2

3 2 3 2 2 - 1

4 2 3 2 2 - 1

5 2 3 2 2 - 1

6 3 3 3 2 - 2

Avg 2.1 3 2.1 2 - 1.5

NC4212 TERM PAPER WRITING AND SEMINAR LTPC

0 02 1

In this course, students will develop their scientific and technical reading and writing skills that they
need to understand and construct research articles. A term paper requires a student to obtain
information from a variety of sources (i.e., Journals, dictionaries, reference books) and then place it
in logically developed ideas. The work involves the following steps:

1. Selecting a subject, narrowing the subject into a topic

2. Stating an objective.
3. Collecting the relevant bibliography (atleast 15 journal papers)
4. Preparing a working outline.
5. Studying the papers and understanding the authors contributions and critically analysing
each paper.
6. Preparing a working outline
7. Linking the papers and preparing a draft of the paper.
8. Preparing conclusions based on the reading of all the papers.
9. Writing the Final Paper and giving final Presentation
Please keep a file where the work carried out by you is maintained.
Activities to be carried out

Activity Instructions Submission Evaluation

week
Selection of area You are requested to select an area of 2nd week 3%
of interest and interest, topic and state an objective Based on clarity of
Topic thought, current
Stating an relevance and clarity
Objective in writing
Collecting 1. List 1 Special Interest Groups or 3rd week 3%
Information about professional society ( the selected
your area & topic 2. List 2 journals information must be
3. List 2 conferences, symposia or area specific and of
workshops international and
4. List 1 thesis title national standard)
5. List 3 web presences (mailing lists,
forums, news sites)
6. List 3 authors who publish regularly
in your area
7. Attach a call for papers (CFP) from
your area.
Collection of  You have to provide a complete list of 4th week 6%
Journal papers in references you will be using- Based on ( the list of standard
the topic in the your objective -Search various digital papers and reason
context of the libraries and Google Scholar for selection)
objective – collect  When picking papers to read - try to:
20 & then filter  Pick papers that are related to each
other in some ways and/or that are
in the same field so that you can
write a meaningful survey out of
them,
 Favour papers from well-known
journals and conferences,
 Favour “first” or “foundational”
papers in the field (as indicated in
other people’s survey paper),
 Favour more recent papers,
 Pick a recent survey of the field so
you can quickly gain an overview,
 Find relationships with respect to
each other and to your topic area
(classification
scheme/categorization)
 Mark in the hard copy of papers
whether complete work or
section/sections of the paper are
being considered
Reading and Reading Paper Process 5th week 8%
notes for first 5  For each paper form a Table ( the table given
papers answering the following questions: should indicate your
 What is the main topic of the article? understanding of the
 What was/were the main issue(s) the paper and the
author said they want to discuss? evaluation is based
 Why did the author claim it was on your conclusions
important? about each paper)
 How does the work build on other’s
work, in the author’s opinion?
 What simplifying assumptions does
 the author claim to be making?
 What did the author do?
 How did the author claim they were
going to evaluate their work and
compare it to others?
 What did the author say were the
limitations of their research?
 What did the author say were the
important directions for future
research?
Conclude with limitations/issues not
addressed by the paper ( from the
perspective of your survey)
Reading and Repeat Reading Paper Process 6th week 8%
notes for next5 ( the table given
papers should indicate your
understanding of the
paper and the
evaluation is based on
your conclusions
about each paper)
Reading and Repeat Reading Paper Process 7th week 8%
notes for final 5 ( the table given
papers should indicate your
understanding of the
paper and the
evaluation is based on
your conclusions
about each paper)
Draft outline 1 Prepare a draft Outline, your survey goals, 8th week 8%
and Linking along with a classification / categorization ( this component will
papers diagram be evaluated based
on the linking and
classification among
the papers)
Abstract Prepare a draft abstract and give a 9th week 6%
presentation (Clarity, purpose and
conclusion)
6% Presentation &
Viva Voce
Introduction Write an introduction and background 10th week 5%
Background sections ( clarity)
Sections of the Write the sections of your paper based on 11thweek 10%
paper the classification / categorization diagram (this component will
in keeping with the goals of your survey be evaluated based
on the linking and
classification among
the papers)
Your Write your conclusions and future work 12th week 5% ( conclusions –
conclusions clarity and your ideas)
th
Final Draft Complete the final draft of your paper 13 week 10% (formatting,
English, Clarity and
linking)
4% Plagiarism Check
Report
Seminar A brief 15 slides on your paper 14th & 15th 10%
week (based on
presentation and Viva-
voce)

TOTAL: 30 PERIODS
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 1 1 1 1 -

2 1 1 1 1 1 -

3 1 1 2 2 2 -

4 2 2 2 2 2 -

5 3 3 3 3 3 -

Avg 1.6 1.6 1.8 1.8 1.8 -

NC4301 DATA CENTRE NETWORKING LTPC

3 003
COURSE OBJECTIVES:
 Understanding of Network Infrastructure management
 Understanding of Server Management and troubleshooting
 Understanding of system Resource Management
 Understanding of Information Security
.
UNIT I DATA CENTER ARCHITECTURE 9
Data center Architecture, Data center prerequisites Data center Requirements, Required Physical
Area for Equipment and Unoccupied Space, Required power to run all the devices, Required
cooling and HVAC Required weight, Required Network bandwidth Budget Constraints

UNIT II DATA CENTER SAFETY 9

Selecting a Geographic Location Safety from Natural hazards, Safe from Manmade disaster,
Availability of local Technical talent, Abundant and Inexpensive Utilities, Selecting an Existing
building.

UNIT III DATA CENTER DESIGN 9

Data Center design, Characteristics of an Outstanding Design, Guidelines for Planning a Data
Center Data Center structures, Raised Floor Design and Deployment, Design and Plan against
Vandalism, Data center design case study, Modular Cabling Design, Points of Distribution, Data
center servers, Sever Capacity Planning
UNIT IV DATA CENTER NETWORK MAINTENANCE 9
ISP Network Infrastructure, ISP WAN Links, Data Center Maintenance, Network Operations
Center, Network Monitoring, Datacenter physical security, Data center Logical security, Data
center Consolidation,Reasons for data center Consolidation, Consolidation opportunity, Server
consolidation, Storage Consolidation, Network Consolidation, Service Consolidation, Process
Consolidation, Staff Consolidation, Data Consolidation phases

UNIT V DATA CENTER SECURITY AND ADMINISTRATION 9

System Management Best Practices, Server Cluster Best Practices, Data Storage Best Practices,
Network Management Best Practices, Documentation Best Practices, Security Guidelines Internet
security, Source Security Issues, Best Practices for System Administration, System Administration
Work Automation, Device Naming, Naming Practices, NIS, DNS, LDAP, Load balancing,
Terminology, Advantages, Types of load balancing, Implementing a Network with Load-Balancing
Switches

COURSE OUTCOMES:
Upon completion of the course, students will be able to
CO1: Manage Server Systems and Data Centres Infrastructure Management
CO2:Utilize the Storage, Bandwidth, Efficiency of systems and other resources for Data centre.
CO3:Monitor the Networks and Resources.
CO4:Plan for Flexible resource allocation.
CO5:To understand how the natural disaster plays role in Data Networking
TOTAL:45 PERIODS
REFERENCES
1. Administering Data Centers: Servers, Storage and Voice over IP, Kailash Jayaswal, John
Wiley & Sons, Oct 28, 2005
2. Data center fundamentals, Mauricio Arregoces, Maurizio Portol, Cisco Press, 2003

MU4091 MULTIMEDIA COMPRESSION TECHNIQUES LTPC

3 003

COURSE OBJECTIVES:
 To understand the basic ideas of compression algorithms related to multimedia
components – Text, speech, audio, image and Video.
 To understand the principles and standards and their
applications with an emphasis on underlying technologies, algorithms, and performance.
 To appreciate the use of compression in multimedia processing applications
 To understand and implement compression standards in detail

UNIT I FUNDAMENTALS OF COMPRESSION 9

Introduction To multimedia – Graphics, Image and Video representations – Fundamental concepts
of video, digital audio – Storage requirements of multimedia applications – Need for compression –
Taxonomy of compression Algorithms - Elements of Information Theory – Error
Free Compression – Lossy Compression
UNIT II TEXT COMPRESSION 9
Huffman coding – Adaptive Huffman coding – Arithmetic coding – Shannon-Fano coding –
Dictionary techniques – LZW family algorithms.

UNIT III IMAGE COMPRESSION 9

Image Compression: Fundamentals –– Compression Standards – JPEG Standard – Sub-band
coding – Wavelet Based compression – Implementation using Filters – EZW, SPIHT coders –
JPEG 2000 standards – JBIG and JBIG2 standards.

UNIT IV AUDIO COMPRESSION 9

Audio compression Techniques –  law, A-Law companding – Frequency domain and filtering –
Basic sub-band coding – Application to speech coding – G.722 – MPEG audio – progressive
encoding – Silence compression, Speech compression – Formant and CELP vocoders.

UNIT V VIDEO COMPRESSION 9

Video compression techniques and Standards – MPEG video coding: MPEG-1 and MPEG-2 video
coding: MPEG-3 and MPEG-4 – Motion estimation and compensation techniques – H.261
Standard – DVI technology – DVI real time compression – Current Trends in Compression
standards.
TOTAL :45 PERIODS
COURSE OUTCOMES:
Upon Completion of the course, the students should be able to
CO1:Implement basic compression algorithms familiar with the use of MATLAB and its equivalent
open source environments
CO2:Design and implement some basic compression standards
CO3:Critically analyze different approaches of compression algorithms in multimedia related mini
projects.
CO4 : Understand the various audio,speech compression techniques
CO5 :Understand and implement MPEG video coding techniques.

REFERENCES
1. Khalid Sayood: Introduction to Data Compression”, Morgan Kauffman Harcourt India, Third
Edition, 2010.
2. David Solomon, “Data Compression – The Complete Reference”, Fourth Edition, Springer
Verlog, New York, 2006.
3. Yun Q.Shi, Huifang Sun, “Image and Video Compression for Multimedia Engineering,
Algorithms and Fundamentals”, CRC Press, 2003.
4. Mark S. Drew, Ze-Nian Li, “Fundamentals of Multimedia”, PHI, 2009.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 2 - 2 1 1 1

2 3 - 3 2 2 1

3 3 - 3 2 2 1

4 2 - 2 2 2 1

5 2 - 2 2 2 1

Avg 2.4 - 2.4 1.8 1.8 1

NC4001 NETWORK ANALYTICS LTPC
3 003
COURSE OBJECTIVES:
After the completion of the course the student will be able
 To provide students with the mathematical tools and computational training to
understand large-scale networks in the current era of Big Data.
 To introduce basic network models and structural descriptors, network dynamics
 To mine the users in the social network.
 To understand the evolution of the social network.
 To know the applications in real time systems.

UNIT I INTRODUCTION 9
Overview: Social network data-Formal methods- Paths and Connectivity-Graphs to represent
social relations-Working with network data- Network Datasets-Strong and weak ties - Closure,
Structural Holes, and Social Capital.
.
UNIT II SOCIAL INFLUENCE 9
Homophily: Mechanisms Underlying Homophily, Selection and Social Influence, Affiliation,Tracking
Link Formation in OnLine Data, Spatial Model of Segregation - Positive and Negative Relationships
- Structural Balance - Applications of Structural Balance, Weaker Form of Structural Balance.

UNIT III INFORMATION NETWORKS AND THE WORLD WIDE WEB 9

The Structure of the Web- World Wide Web- Information Networks, Hypertext, and Associative
Memory- Web as a Directed Graph, Bow-Tie Structure of the Web- Link Analysis and Web Search
Searching the Web: Ranking, Link Analysis using Hubs and Authorities- Page Rank- Link Analysis
in Modern Web Search, Applications, Spectral Analysis, Random Walks, and Web Search.

UNIT IV SOCIAL NETWORK MINING 9

Clustering of Social Network graphs: Betweenness, Girvan newman algorithm-Discovery of
communities- Cliques and Bipartite graphs-Graph partitioning methods-Matrices-Eigen
valuesSimrank.

UNIT V NETWORK DYNAMICS 9

Cascading Behavior in Networks: Diffusion in Networks, Modeling Diffusion - Cascades and
Cluster, Thresholds, Extensions of the Basic Cascade Model- Six Degrees of Separation-Structure
and Randomness, Decentralized Search- Empirical Analysis and Generalized Models- Analysis of
Decentralized Search.

COURSE OUTCOMES:
At the end of the course student will be able to
CO1: understand the underpinnings of search engines and webpage ranking
CO2: make sense of large graphs, ranging from social networks to the smart power grid
CO3: have a good understanding of prediction of processes evolving on graphs, modern
algorithms for topology inference, community and anomaly detection, as well as fundamentals of
social network analysis
CO4: Analyze the network flow data
CO5: Estimate the size of the Internet
TOTAL:45 PERIODS
REFERENCES
1. Easley and Kleinberg, “Networks, Crowds, and Markets: Reasoning about a highly
connected world”, Cambridge Univ. Press, 2010.
2. Robert A. Hanneman and Mark Riddle, “Introduction to social network methods”, University
of California, 2005.
3. Jure Leskovec,Stanford Univ.Anand Rajaraman,Milliway Labs, Jeffrey D. Ullman, “Mining of
Massive Datasets”, Cambridge University Press, 2 edition, 2014.
4. Wasserman, S., & Faust, K, “Social Network Analysis: Methods and Applications”,
Cambridge University Press, 2009.
5. Borgatti, S. P., Everett, M. G., & Johnson, J. C., “Analyzing social networks”, SAGE
Publications Ltd; 1 edition, 2013.
6. John Scott , “Social Network Analysis: A Handbook” , SAGE Publications, 2nd edition,
2000.

CU4071 ADVANCED SATELLITE COMMUNICATION AND NAVIGATION LTPC

SYSTEMS 3 003

COURSE OBJECTIVES:
To enable the students to
 Learn M2M developments and satellite applications
 Understand Satellite Communication In Ipv6 Environment

UNIT I OVERVIEW OF SATELLITE COMMUNICATION 9

Overview of satellite communication and orbital mechanics Link budget Parameters, Link budget
calculations, Auxiliary Equations, Performance Calculations.

UNIT II M2M DEVELOPMENTS AND SATELLITE APPLICATIONS 9

Overview of the Internet of Things and M2M- M2M Applications Examples and Satellite Support-
Satellite Roles Context and Applications- Antennas for Satellite M2M Applications- M2M Market
Opportunities for Satellite Operators-Ultra HD Video/TV and Satellite Implications-High Throughput
Satellites (HTS) and Ka/Ku Spot Beam Technologies-Aeronautical, Maritime and other Mobility
Services.

UNIT III SATELLITE COMMUNICATION IN IPV6 ENVIRONMENT 9

Overview of IPv6 and its benefits for Satellite Networks - Migration and Coexistence--
Implementation scenarios and support- Preparations for IPv6 in Satellite communication- Satellite
specific Protocol issues in IPv6 – Impact of IPv6 on Satellite Network architecture and services-
Detailed transitional plan- IPv6 demonstration over satellites - Key results and recommendations.

UNIT IV SATELLITE NAVIGATION AND GLOBAL POSITIONING SYSTEM 9

Overview of Radio and Satellite Navigation, GPS Principles, Signal model and Codes, Satellite
Signal Acquisition, Mathematical model of GPS observables, Methods of processing GPS data ,
GPS Receiver Operation and Differential GPS. IRNSS, GAGAN, GLONASS and Galileo.

UNIT V DEEP SPACE NETWORKS AND INTER PLANETARY MISSIONS 9

Introduction – Functional description - Design procedure and performance criterion-Mars
exploration Rover- Mission and spacecraft summary-Telecommunication subsystem overview-
Ground Subsystem-Telecom subsystem and Link performance Telecom subsystem Hardware and
software Chandrayaan-1 Mission - Mission and spacecraft summary-Telecommunication
subsystem overview-Ground Subsystem-Telecom subsystem and Link performance. Mangalyaan
Mission - Mission and spacecraft summary-Telecommunication subsystem overview- Ground
Subsystem-Telecom subsystem and Link performance

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1: Discuss Satellite navigation and global positioning system
CO2: Understand deep space networks and inter planetary missions
CO3: Demonstrate an understanding of the different interferences and attenuation mechanisms
affecting the satellite link design.
CO4: Demonstrate an understanding of the different communication, sensing and navigational
applications of satellite.
CO5: Familiar with the implementation aspects of existing satellite based systems.
TOTAL:45 PERIODS
REFERENCES
1. Adimurthy.V,”Concept design and planning of India’s first interplanetary mission” Current
Science, VOL. 109, NO. 6, 1054 25 SEPTEMBER 2015.
2. Anil K. Maini, Varsha Agrawal, ‘Satellite Technology: Principles and Applications’, Third
Edition, Wiley, 2014.
3. Daniel Minoli’ “Innovations in Satellite Communication and Satellite Technology” Wiley, 2015
4. Daniel Minoli, “Satellite Systems Engineering in an IPv6 Environment”, CRC Press, First
Edition, 2009.
5. Hofmann-Wellenhof B., Lichtenegger H., and Elmar Wasle, “Global Navigational Satellite
Systems” Springer-Verlag, 2008.
6. Jim Taylor, “ Deep Space Communications” John Wiley & Sons, 2016.
7. Louis J. Ippolito, Jr. “Satellite Communications Systems Engineering: Atmospheric Effects,
Satellite Link Design and System Performance”, Second Edition, 2017
8. http://www.isro.gov.in/pslv-c25-mars-orbiter-mission

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - - - 1 1

2 - - 1 - 3 1

3 - - 1 - 2 1

4 - - 2 - 2 2

5 3 3 2 3 3 2

Avg 3 3 1.5 3 2.2 1.4

AP4095 SIGNAL INTEGRITY FOR HIGH SPEED DESIGN LTPC
3 003
COURSE OBJECTIVES:
 To identify sources affecting the speed of digital circuits.
 To introduce methods to improve the signal transmission characteristics

UNIT I SIGNAL PROPAGATION ON TRANSMISSION LINES 9

Transmission line equations, wave solution, wave vs. circuits, initial wave, delay time,
Characteristic impedance , wave propagation, reflection, and bounce diagrams Reactive
terminations – L, C , static field maps of micro strip and strip line cross-sections, per unit length
parameters, PCB layer stackups and layer/Cu thicknesses, cross-sectional analysis tools, Zo and
Td equations for microstrip and stripline Reflection and terminations for logic gates, fan-out, logic
switching , input impedance into a transmission-line section, reflection coefficient, skin-effect,
dispersion.

UNIT II MULTI-CONDUCTOR TRANSMISSION LINES AND CROSS-TALK 9

Multi-conductor transmission-lines, coupling physics, per unit length parameters ,Near and far-end
cross-talk, minimizing cross-talk (stripline and microstrip) Differential signalling, termination,
balanced circuits ,S-parameters, Lossy and Lossless models.

UNIT III NON-IDEAL EFFECTS 9

Non-ideal signal return paths – gaps, BGA fields, via transitions , Parasitic inductance and
capacitance , Transmission line losses – Rs, tanδ , routing parasitic, Common-mode current,
differential-mode current , Connectors.

UNIT IV POWER CONSIDERATIONS AND SYSTEM DESIGN 9

SSN/SSO , DC power bus design , layer stack up, SMT decoupling ,, Logic families, power
consumption, and system power delivery , Logic families and speed Package types and parasitic
,SPICE, IBIS models ,Bit streams, PRBS and filtering functions of link-path components , Eye
diagrams , jitter , inter-symbol interference Bit-error rate ,Timing analysis.
UNIT V CLOCK DISTRIBUTION AND CLOCK OSCILLATORS 9

Timing margin, Clock slew, low impedance drivers, terminations, Delay Adjustments, canceling
parasitic capacitance, Clock jitter.

TOTAL : 45 PERIODS
COURSE OUTCOMES:
At the end of the course the student will be able to
CO1: identify sources affecting the speed of digital circuits.
CO2:identify methods to improve the signal transmission characteristics
CO3: characterise and model multiconductor transmission line
CO4: analyse clock distribution system and understand its design parameters
CO5: analyse nonideal effects of transmission line

REFERENCES
1. H. W. Johnson and M. Graham, High-Speed Digital Design: A Handbook of Black Magic,
Prentice Hall, 1993.
2. Douglas Brooks, Signal Integrity Issues and Printed Circuit Board Design, Prentice Hall PTR
, 2003.
 3. S. Hall, G. Hall, and J. McCall, High-Speed Digital System Design: A Handboo of
Interconnect Theory and Design Practices, Wiley-Interscience, 2000.
4. Eric Bogatin , Signal Integrity – Simplified , Prentice Hall PTR, 2003.

TOOLS REQUIRED

1. SPICE, source - http://www-cad.eecs.berkeley.edu/Software/software.html

2. HSPICE from synopsis, www.synopsys.com/products/ mixedsignal/hspice/hspice.html

3. SPECTRAQUEST from Cadence, http://www.specctraquest.com or any equivalent open

source tool

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 2 2 3 3 2

2 2 2 2 3 3 2

3 1 1 2 3 3 3

4 2 2 1 3 3 2

5 2 2 2 3 3 2

Avg 1.6 1.8 1.8 3 3 2.2

NC4002 LTPC
SERVER ARCHITECTURES
3 003
COURSE OBJECTIVES:
 To understand fundamentals of DBMS.
 To understand various concept of Database and its working.
 To acquaint the students with Client Server Architecture and PL/SQL programming

UNIT I DATABASE COMPUTING MODEL 9

Client Server Computing: Functions of client, server,middleware components, Advantages and
limitations of client server computing
Three Tier Architecture: Overview of thin client, application server, web server, Overview of
Distributed Database, Overview of Real Application Clusters, Overview of High Performance
Database Computing, Overview of Data Warehousing and Data Mining

UNIT II OVERVIEW OF ORACLE DATABASE SERVER ARCHITECTURE 9

Architecture of Oracle Database and Oracle Instance, Overview of Physical and Logical Structures,
Dedicated and Shared Server Configuration, Oracle Server Startup and Shutdown, Creating
Database

UNIT III ORACLE TOOLS AND UTILITIES 9

SQL - Pl/SQL Procedural Extension, Overview, PL/SQL data types & Control Structures, Cursors,
Stored Procedures & Functions, Database Triggers, Package Creation, Dynamic SQL
Collections
UNIT IV DATABASE ADMINISTRATION 9
Objects Managing Users, User Configuration Setup, Resource Management, Working with user
database account , Backup & Recovery, Database Security, Export & Import Tools, Overview of
Grid Based Database

UNIT V DATA STORAGE 9

Magnetic disk, magnetic tape, CD-ROM, WORM, Optical disk, mirrored disk, fault tolerance, RAID,
RAID-Disk network interface cards. Network protection devices, Power Protection Devices, UPS,
Surge protectors. Client Server Systems Development: Services and Support, system
administration, Availability, Reliability, Serviceability, Software Distribution, Performance, Network
management, Help Disk, Remote Systems Management Security, LAN and Network Management
issues.

COURSE OUTCOMES:
After completing the course, students will be able to:
CO1: Understand how DBMS works and the importance of various concepts of DBMS.
CO2: Understand oracle architecture and its tools.
CO3: Apply ORACLE in DBMS administration
CO4: Familiarize with the various storage devices.
CO5: Establish a Secure connectivity for a network to any environment.
CO6: Analyse the convergence between the Database and the User environment.

TOTAL:45 PERIODS
REFERENCES

1. Patrick Smith & Steave Guengerich, “Client / Server Computing”, PHI, 2nd edition, 2011.
2. Dawna Travis Dewire, “Client/Server Computing”, TMH, July 2003
3. Korth, Silberchatz, Sudarshan, “Database Concepts”, McGraw Hill,2005
4. Elmasri, Navathe, S.B, “Fundamentals of Data Base System”, Addison Wesley, 6th Edition, 2010.

CU4072 HIGH SPEED SWITCHING AND NETWORKING L T PC

3 0 0 3
COURSE OBJECTIVES:
 To explore the various space division switches
 To enable the various network performance analysis
 To get the clear idea about the various multimedia application
 To get a clear idea about the traffic and Queuing systems.
 Interpret the basics of security management and the various attacks & its countermeasures

UNIT I SWITCHING ARCHITECTURES 9

Shared medium switches – Shared memory switches – Space division switches – Cross bar based
switching architecture – Input queued, Output queued and Combined input-output queued switches
– Non blocking and blocking cross bar switches – Banyan networks – Batcher Banyan networks –
Optical switches – Unbuffered and buffered switches – Buffering strategies – Optical packet
switches and Optical burst switches – MEMS optical switches

UNIT II NETWORK PERFORMANCE ANALYSIS 9

Objectives and requirements for Quality of Service (QoS) in high performance networks.
Architecture of high performance networks (HPN), design issues, protocols for HPN, VHF
backbone networks, virtual interface architectures, virtual interface for networking, High-speed
switching and routing - internet and PSTN IP switching techniques, SRP protocols, SRP
authentication, and key exchange, comparison of TCP/IP, FTP, TELNET, queuing systems,
network modeling as a graph

UNIT III MULTIMEDIA NETWORKING APPLICATIONS 9

Streaming stored Audio and Video, Best effort service, protocols for real time interactive
applications, Beyond best effort, scheduling and policing mechanism, integrated services, RSVP-
differentiated services.

UNIT IV PACKET QUEUES AND DELAY ANALYSIS 9

Littles theorem, Birth and Death process, queueing discipline- Control & stability -, Markovian FIFO
queueing system, Non-markovian - PollaczekKhinchin formula and M/G/1, M/D/1, self-similar
models and Batch-arrival model, Networks of Queues – Burkes theorem and Jackson Theorem.

UNIT V NETWORK SECURITY AND MANAGEMENT 9

Principles of cryptography – Elliptic-AES Authentication – integrity – key distribution and
certification– Access control and: fire walls – DoS-attacks and counter measures – security in
many layers.Infrastructure for network management – The internet standard management
framework – SMI, MIB,SNMP, Security and administration – ASN.1.

COURSE OUTCOMES:
Upon completion the students will be able to
CO1: Understand the fundamental concepts of the switching architecture involved in various
switching types
CO2: Interpret the basics of various protocols and QOS in the network performance
CO3: Understand the various types of multimedia networking application
CO4: Recognize the concepts of various analysis method involved in the processing
CO5: Understand fundamental issues involved in providing the security as well as the
management.
TOTAL:45 PERIODS
REFERENCES
1. Achille Pattavina, “Switching Theory Architectures and performance in Broadband ATM
networks”, John wiley & sons Ltd. New York, 2007.
2. Elhanany, Itamar, Hamdi and Mounir, ―High Performance Packet Switching Architectures‖,
Springer 2007
3. Walrand .J. Varatya, “High Performance Communication Network”, Morgan Kaufmann –
Harcourt Asia Pvt. Ltd., 2nd Edition, 2000.
4. Fred Halsall and Lingana Gouda Kulkarni, “Computer Networking and the Internet”, Fifth
Edition, Pearson Education, 2012.
5. Nader F.Mir, “Computer and Communication Networks”, Pearson Education, 2009.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - 2 2 - -

2 2 - 2 2 3 -
 3 2 - 2 2 - 3

4 2 - 2 2 3 -

5 2 - - - - 3

Avg 8/4=2 - 8/4=2 8/4=2 6/2=3 3/1=3

EL4391 OPTICAL NETWORKS LT PC

3 00 3
COURSE OBJECTIVES:
 Understand the concepts of optical components and networks.
 To gain an understanding of various issues in designing a high speed, and huge bandwidth
optical network.
 To acquire knowledge of architecture and standards of optical networks.
 Thorough knowledge about the routing and access mechanism in optical networks.
 Thorough understanding of the scientific and engineering principles underlying the
photonics technology.

UNIT I OPTICAL SYSTEM COMPONENTS 9

Light propagation in optical fibers-Loss & Bandwidth, System limitations, Non-Linear effect,
Solitons, Optical Network Components- Couplers, Isolators & Circulators, Multiplexers & Filters
Optical Amplifiers, Switches, Wavelength Converters.

UNIT II OPTICAL NETWORK ARCHITECTURES 9

Introduction to Optical Networks; WDM networks , SONET / SDH, Metropolitan-Area Networks,
Layered Architecture; Broadcast and Select Networks- Topologies for Broadcast Networks, Media-
Access Control Protocols, Wavelength Routing Architecture. WOBAN and OTDM networks.
Introduction to ASON.

UNIT III WAVELENGTH ROUTING NETWORKS 9

The Optical layer, Node Designs, Optical layer cost tradeoff, Routing and Wavelength Assignment
algorithms, Virtual Topology design, Architectural variations

UNIT IV PACKET SWITCHING AND ACCESS NETWORKS 9

Photonic Packet Switching – OTDM , Multiplexing and Demultiplexing, Synchronization, Broadcast
OTDM networks, Switch based networks; Access Networks- Network Architecture overview ,
Future Access Networks, Optical Access Network Architectures.

UNIT V NETWORK DESIGN AND MANAGEMENT 9

Transmission system Engineering-system model, Power penalty-transmitter, receiver, Optical
amplifiers, crosstalk, dispersion, wavelength stabilization; overall design consideration; Control and
Management-Network management functions, Configuration management, Performance
management, Fault management. Optical safety, Service interface.
COURSE OUTCOMES:
On completion of the course the student will be
CO1:able to design state-of-the-art optical networks.
CO2: able to implement optical network protocols.
CO3: able to design high speed networks using optical fibers
CO4: able to simulate access network
CO5: able to design the optical network infrastructure and network management methods.
TOTAL: 45 PERIODS
REFERENCES
1. Rajiv Ramaswami and Kumar N.Sivarajan, “Optical Networks: A Practical Perspective”,
Harcourt Asia Pvt Ltd., Second Edition 2004.
2. C.Siva Ram Moorthy and Mohan Gurusamy, “WDM Optical Networks: Concept, Design and
Algorithms”, PHI, 1st Edition, 2002.
3. P.E.Green, jr., "Fiber Optical Networks", Prentice Hall, New Jersey, 1993.
4. Optical Networks: Third Generation Transport Systems, Prentice Hall, 2002.
5. Martin Maier, "Optical Switching Networks", Cambridge India, 2014.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 - 2 3 - -

2 3 - 3 3 - 3

3 3 - 3 2 - 3

4 1 - 3 2 - 2

5 3 - 3 3 - 3

Avg 2.2 - 2.8 2.6 - 2.7

CU4074 SPEECH PROCESSING LT PC

3 00 3
COURSE OBJECTIVES:
 To introduce speech production and related parameters of speech.
 To illustrate the concepts of speech signal representations and coding.
 To understand different speech modeling procedures such Markov and their
implementation issues.
 To gain knowledge about text analysis and speech synthesis.

UNIT I FUNDAMENTALS OF SPEECH PROCESSING 9

Introduction – Spoken Language Structure – Phonetics and Phonology – Syllables and Words –
Syntax and Semantics – Probability, Statistics and Information Theory – Probability Theory –
Estimation Theory – Significance Testing – Information Theory.

UNIT II SPEECH SIGNAL REPRESENTATIONS AND CODING 9

Overview of Digital Signal Processing – Speech Signal Representations – Short time Fourier
Analysis – Acoustic Model of Speech Production – Linear Predictive Coding – Cepstral Processing
– Formant Frequencies – The Role of Pitch – Speech Coding – LPC Coder, CELP, Vocoders.
UNIT III SPEECH RECOGNITION 9
Hidden Markov Models – Definition – Continuous and Discontinuous HMMs – Practical Issues –
Limitations. Acoustic Modeling – Variability in the Speech Signal – Extracting Features – Phonetic
Modeling – Adaptive Techniques – Confidence Measures – Other Techniques.

UNIT IV TEXT ANALYSIS 9

Lexicon – Document Structure Detection – Text Normalization – Linguistic Analysis – Homograph
Disambiguation – Morphological Analysis – Letter-to-sound Conversion – Prosody – Generation
schematic – Speaking Style – Symbolic Prosody – Duration Assignment – Pitch Generation

UNIT V SPEECH SYNTHESIS 9

Attributes – Formant Speech Synthesis – Concatenative Speech Synthesis – Prosodic Modification
of Speech – Source-filter Models for Prosody Modification – Evaluation of TTS Systems.
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1: Model speech production system and describe the fundamentals of speech.
CO2: Extract and compare different speech parameters.
CO3: Choose an appropriate statistical speech model for a given application.
CO4: Design a speech recognition system.
CO5: Use different text analysis and speech synthesis techniques.
TOTAL:45 PERIODS
REFERENCES
1. Ben Gold and Nelson Morgan, “Speech and Audio Signal Processing, Processing and
Perception of Speech and Music”, Wiley- India Edition, 2006
2. Claudio Becchetti and Lucio Prina Ricotti, “Speech Recognition”, John Wiley and Sons, 1999.
3. Daniel Jurafsky and James H Martin, “Speech and Language Processing – An Introduction to
Natural Language Processing, Computational Linguistics, and Speech Recognition”,
Pearson Education, 2002.
4. Frederick Jelinek, “Statistical Methods of Speech Recognition”, MIT Press, 1997. 5. Lawrence
Rabiner and Biing-Hwang Juang, “Fundamentals of Speech Recognition”, Pearson
Education, 2003.
5. Steven W. Smith, “The Scientist and Engineer‟s Guide to Digital Signal Processing”,
California Technical Publishing, 1997.
6. Thomas F Quatieri, “Discrete-Time Speech Signal Processing – Principles and Practice”,
Pearson Education, 2004.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 2 3 2 1

2 3 2 3 2 1

3 3 2 3 2 1

4 3 2 3 2 1

5 3 2 3 2 1

Avg 15/5=3 10/5=2 15/5=3 10/5=2 5/5=1

CU4075 ULTRA WIDEBAND COMMUNICATIONS L T PC
3 0 0 3
COURSE OBJECTIVES:
 To give fundamental concepts related to Ultra wide band
 To understand the channel model and signal processing for UWB.
 To acquire knowledge about UWB antennas and regulations.

UNIT I INTRODUCTION TO UWB 9

History, Definition, FCC Mask, UWB features, Benefits and challenges, UWB Interference: IEEE
802.11.a Interference, Signal to Interference ratio calculation, Interference with other wireless
services.

UNIT II UWB TECHNOLOGIES AND CHANNEL MODELS 9

Impulse Radio, Pulsed Multiband, Multiband OFDM, features : Complexity, Power Consumption,
Security and achievable data rate. MIMO Multiband OFDM, Differential multiband OFDM,
Performance characterization, Ultra Wide Band Wireless Channels
Channel model: Impulse Response Modeling of UWB Wireless Channels, IEEE UWB channel
model, Path loss, Delay profiles, Time and frequency modeling.

UNIT III UWB SIGNAL PROCESSING 9

Data Modulation schemes, UWB Multiple Access Modulation, BER, Rake Receiver, Transmit-
Reference (T-R) Technique, UWB Range- Data Rate Performance, UWB Channel Capacity,
UWB Wireless Locationing: Position Locationing Methods, Time of Arrival Estimation, NLOS
Location Error , Locationing with OFDM

UNIT IV UWB ANTENNAS 9

Antenna Requirements, Radiation Mechanism of the UWB Antennas, Types of Broad
band antennas, Parameters, Analysis of UWB Antennas, Link Budget for UWB System.
Design examples of broad band UWB antennas.

UNIT V UWB APPLICATIONS AND REGULATIONS 9

Ultra wideband receiver architecture, Wireless Ad hoc Networking, UWB Wireless Sensor,
RFID, Consumer Electronics and Personal, Asset Location, Medical applications, UWB
Regulation and standards in various countries , UWB Regulation in ITU, IEEE Standardization

COURSE OUTCOMES:
Upon completion the students will be able to
CO1: Understand the basic concepts of UWB ..
CO2: Understand the basic concepts of UWB technologies.
CO3: Assess the performance of UWB channels.
CO4: Apply the UWB signal processing
CO5: Design UWB antenna for various applications.
TOTAL:45 PERIODS
REFERENCES
1. Homayoun Nikookar and Ramjee Prasad, “Introduction to Ultra Wideband for Wireless
Communications”1st Edition, Springer Science & Business Media B.V. 2010.
2. Thomas Kaiser, Feng Zheng “Ultra Wideband Systems with MIMO”, 1st Edition, John Wiley
& Sons Ltd, New York, 2010.
3. W. Pam Siriwongpairat and K. J. Ray Liu, “Ultra-Wideband Communications
 Systems: Multiband OFDM approach” John Wiley and IEEE press, New York 2008.
4. Huseyin Arslan,Zhi Ning Chen,Maria-Gabriella Di Benedetto “Ultra Wideband Wireless
communication” Wiley-Interscience; 1st edition 2006.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - 2 2 3 -

2 2 - 2 2 3 -

3 - - - 2 3 3

4 - - 2 2 3 -

5 2 - - 2 - -

Avg 2 - 2 2 3 3

NC4003 BROADBAND NETWORKS LTPC

3 003
COURSE OBJECTIVES:
 To know about uses, applications, disadvantages of broadband networks
 To Understand the Protocols involved in Broadband Networks
 To Know the various evolutions of network
 To elaborate on the Layer level functions

UNIT I EVOLUTION OF WIRELESS NETWORKS 9

Review of cellular standards, migration and advancement of GSM architecture and CDMA
architecture, WLAN – IEEE 802.11and HIPERLAN, Bluetooth.

UNIT II WIRELESS PROTOCOLS . 9

Mobile network layer- Fundamentals of Mobile IP, data forwarding procedures in mobile IP, IPv4,
IPv6, IP mobility management, IP addressing - DHCP, Mobile transport layer-Traditional TCP,
congestion control, slow start, fast recovery/fast retransmission, classical TCP improvements.
Indirect TCP, snooping TCP, Mobile TCP

UNIT III 3G EVOLUTIONS 9

IMT-2000 - W-CDMA, CDMA 2000 – radio & network components, network structure, packet-data
transport process flow, Channel Allocation, core network, interference-mitigation techniques,
UMTS-services, air interface, network architecture of 3GPP, UTRAN – architecture, High Speed
Packet Data-HSDPA,HSUPA.

UNIT IV 4G AND BEYOND 9

Introduction to LTE-A – Requirements and Challenges, network architectures – EPC, E- UTRAN
architecture - mobility management, resource management, services, channel -logical and
transport channel mapping, downlink/uplink data transfer, MAC control element, PDU packet
formats, scheduling services, random access procedure.

UNIT V LAYER-LEVEL FUNCTIONS 9

Characteristics of wireless channels - downlink physical layer, uplink physical layer, MAC scheme -
frame structure, resource structure, mapping, synchronization, reference signals and channel
estimation, SC-FDMA, interference cancellation –CoMP, Carrier aggregation, Services -
multimedia broadcast/multicast, location-based services.

COURSE OUTCOMES:
At the end of the course, student will be able to
CO1: design routing mechanism meeting the desired QoS in NGN.
CO2:compare various methods of providing connection-oriented services over a NGN.
CO3:compare various NGN virtual network services with reference to VPNs, VLANs, pseudo
wires, VPLS and typical applications
CO4: analyse the traditional networking structure
CO5: understand the Uplink and downlink layers
TOTAL:45 PERIODS
REFERENCES
1. Kaveh Pahlavan, “Principles of wireless networks”, Prentice-Hall of India, 2008.
2. Vijay K.Garg, “Wireless Network Evolution- 2G & 3G” Pearson, 2013.
3. Clint Smith,P.E, Dannel Collins, “3G Wireless Networks” 2nd edition, Tata McGraw-Hill,
2008..
4. Jochen H.Schiller, “Mobile Communications”, 2/e, Pearson, 2014
5. Sassan Ahmadi, “LTE-Advanced – A practical systems approach to understanding the
3GPP LTE Releases 10 and 11 radio access technologies”, Elsevier, 2014.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 1 3 - - 2
2 1 - 3 - - 2
3 3 - 3 - - -
4 3 - 3 2 1 -
5 3 - 3 3 1 -
Avg 2.2 1 3 2.5 1 2

NC4004 VIRTUAL PRIVATE NETWORKS LTPC

3 003
COURSE OBJECTIVES:
To facilitate the students
 To Understand the purpose and operation of Virtual Private Network
 To identify the business and personal uses of VPN’s.
 To differentiate between a Transport mode VPN and Tunnel mode VPN
 To understand how to manage and maintain the VPN

UNIT I INTRODUCTION AND BASICS VPN TECHNOLOGIES 9

Security Risks of the Internet , VPNs and Internet Security Issues, VPN Solutions, A Note on IP
Address and Domain Name Conventions, Firewall Deployment, Encryption and Authentication ,
VPN Protocols, Methodologies for Compromising VPNs, Patents and Legal Ramifications
UNIT II IMPLEMENTING, CONFIGURING AND TESTING LAYER 2 9
CONNECTIONS
General WAN, RAS, and VPN Concepts, VPN Versus WAN, VPN Versus RAS, Differences
Between PPTP, L2F, and L2TP, How PPTP Works, Features of PPTP, Installing and Configuring
PPTP on a Windows NT RAS Server, Configuring PPTP for Dialup Networking on a Windows NT
Client, Using PPTP with Other Security Measures

UNIT III IMPLEMENTING THE ALTA VISTA TUNNEL 98 9

Advantages of the AltaVista Tunnel System, AltaVista Tunnel Limitations , working of AltaVista
Tunnel Works, VPNs and AltaVista , Installing the AltaVista Tunnel, Configuring the AltaVista
Tunnel Extranet and Telecommuter Server, Configuring the AltaVista Telecommuter Client,
Troubleshooting Problems

UNIT IV CREATING A VPN AND THE CISCO PIX FIREWALL 9

The SSH Software, Building and Installing SSH , SSH Components , Creating a VPN with PPP and
SSH, Troubleshooting Problems , A Performance Evaluation , The Cisco PIX Firewall, The PIX in
Action , Configuring the PIX as a Gateway, Configuring the Other VPN Capabilities

UNIT V MANAGING AND MAINTAINING VPN AND ITS SCENARIO 9

Choosing an ISP, Solving VPN Problems , Delivering Quality of Service , Security Suggestions ,
Keeping Yourself Up-to-Date, A VPN Scenario: The Topology , Central Office Large Branch Office,
Small Branch Offices, Remote Access Users.

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1: Identify the importance of Encryption, Authentication and Authorization.
CO2: Configure a site to site Internet Protocol Security VPN
CO3: Configure a Remote Access VPN.
CO4: To establish IPSEC VPN on a Cisco device
CO5: To know how to stay safe in online cyber ghost
TOTAL:45 PERIODS
REFERENCES
1. Virtual Private Networks, Charlie Scott, Paul Wolfe and Mike Erwin , O'Reilly Publisher,
Second Edition January1999

NC4005 TELECOMMUNICATION SWITCHING SYSTEM MODELING AND LTPC

SIMULATION 3 003

COURSE OBJECTIVES:
 To enable the student to understand the various aspects of simulation methodology and
performance, appreciate the significance of selecting sampling frequency and modelling
different types of signals and processing them.
 To expose the student to the different simulation techniques, their pros and cons and
enable him to understand and interpret results using case studies.

UNIT I SIMULATION METHODOLOGY 9

Introduction, Aspects of methodology, Performance Estimation, Simulation sampling frequency,
Low pass equivalent simulation models for bandpass signals, Multicarrier signals, Non-linear and
time-varying systems, Post processing – Basic graphical techniques and estimations
UNIT II RANDOM SIGNAL GENERATION & PROCESSING 9
Uniform random number generation, Mapping uniform random variables to an arbitrary pdf,
Correlated and Uncorrelated Gaussian random number generation, PN sequence generation,
Random signal processing, Testing of random number generators.

UNIT III MONTE CARLO SIMULATION 9

Fundamental concepts, Application to communication systems, Monte Carlo integration,
Semianalytic techniques, Case study: Performance estimation of a wireless system

UNIT IV ADVANCED MODELS & SIMULATION TECHNIQUES 9

Modeling and simulation of non-linearities : Types, Memoryless non-linearities, Non-linearities with
memory, Modeling and simulation of Time varying systems : Random process models, Tapped
delay line model, Modelling and simulation of waveform channels, Discrete memoryless channel
models, Markov model for discrete channels with memory.

UNIT V EFFICIENT SIMULATION TECHNIQUES 9

Tail extrapolation, pdf estimators, Importance Sampling methods, Case study: Simulation of a
Cellular Radio System.

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1: Understand the different signal generation and processing methods
CO2: Mathematically model a physical phenomena
CO3: Simulate a phenomena so as to depict the characteristics that may be observed in a real
experiment.
CO4: Apply knowledge of the different simulation techniques for designing a communication
system or channel
CO5: Validate a simulated system performance so as to match a realistic scenario

TOTAL:45 PERIODS
REFERENCES
1. William.H.Tranter, K. Sam Shanmugam, Theodore. S. Rappaport, Kurt L. Kosbar, Principles
of Communication Systems Simulation, Pearson Education (Singapore) Pvt. Ltd, 2004.
2. 2. M.C. Jeruchim, P.Balaban and K. Sam Shanmugam, Simulation of Communication
Systems: Modeling, Methodology and Techniques, Plenum Press, New York, 2001.
3. 3. Averill.M.Law and W. David Kelton, Simulation Modeling and Analysis, McGraw Hill Inc.,
2000.
4. Geoffrey Gorden, System Simulation, Prentice Hall of India, 2007.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - 2 2 3 -

2 - - 2 - - 2

3 2 - 2 - - 2

4 - - 2 2 - 2
 5 2 - - - - 2

Avg 4/2=2 - 8/4=2 4/2=2 3/1=3 8/4=2

CU4073 IMAGE PROCESSING AND VIDEO ANALYTICS LTPC

3 024
COURSE OBJECTIVES:
 To comprehend the relation between human visual system and machine perception and
processing of digital images
 To provide a detailed approach towards image processing applications like enhancement,
segmentation, and compression.
 To also explore the integration principles of communication system working with different
sampling rates.
 To analysis the fundamentals of digital image processing, image and video analysis
 To present the mathematics and algorithms that underlie image analysis techniques.

UNIT I INTRODUCTION AND DIGITAL IMAGE FUNDAMENTALS 9

Introduction: Introduction & Applications, Elements of visual perception, Image sensing and
acquisition, simple image formation, Image sampling and Quantization, Representing digital pixels,
Image quality, Introduction to colour image – RGB and HSI Models.
Image enhancement in Spatial domain: Introduction to image enhancement, basic grey level
transforms, Histogram, Histogram-processing equalization, Matching & colour histogram,
Enhancement using arithmetic/logic operations, spatial filtering, Smoothing spatial filtering,
Sharpening spatial filtering.

UNIT II IMAGE PROCESSING TECHNIQUES 9

Image Enhancement: Spatial Domain methods: Histogram Processing, Fundamentals of Spatial
Filtering, Smoothing Spatial filters, Sharpening Spatial filters Frequency Domain methods: Basics
of filtering in frequency domain, image smoothing, image sharpening, selective filtering Image
Segmentation: Segmentation concepts, point, line and Edge detection, Thresholding, region based
segmentation

UNIT III VIDEO PROCESSING AND MOTION ESTIMATION 9

Analog video, Digital Video, Time varying Image Formation models : 3D motion models, Geometric
Image formation , Photometric Image formation, sampling of video signals, filtering operations 2-D
Motion Estimation: Optical flow, general methodologies, pixel based motion estimation, Block
matching algorithm, Mesh based motion Estimation, global Motion Estimation, Region based
motion estimation, multi resolution motion estimation. Waveform based coding, Block based
transform coding, predictive coding, Application of motion estimation in video coding.

UNIT IV INTRODUCTION: VIDEO ANALYTICS 9

Computer Vision: Challenges- Spatial Domain Processing – Frequency Domain Processing-
Background Modeling-Shadow Detection-Eigen Faces - Object Detection -Local Features-Mean
Shift: Clustering, Tracking - Object Tracking using Active Contours – Tracking & Video Analysis-
Kalman filters, condensation, particle, Bayesian filters, hidden Markov models, change detection
and model based tracking
UNIT V MOTION UNDERSTANDING 9
Motion estimation and Compensation-Block Matching Method, Motion Segmentation -Thresholding
for Change Detection, Estimation of Model parameters - Optical Flow Segmentation-Modified
Hough Transform Method- Segmentation for Layered Video Representation-Bayesian
Segmentation -Simultaneous Estimation and Segmentation-Motion Field Model - Action
Recognition - Low Level Image Processing for Action Recognition
45 PERIODS
PRACTICAL EXERCISES: 30 PERIODS
1. Perform basic operations on images like addition, subtraction etc.
2. Plot the histogram of an image and perform histogram equalization
3. Implement segmentation algorithms
4. Perform video enhancement
5. Perform video segmentation
6. Perform image compression using lossy technique
7. Perform image compression using lossless technique
8. Perform image restoration
9. Convert a colour model into another
10. Calculate boundary features of an image
11. Calculate regional features of an image
12. Detect an object in an image/video using template matching/Bayes classifier

COURSE OUTCOMES:
Upon completion of the course, the students will be able to
CO1: Explore of the limitations of the computational methods on digital images.
CO2: Implement the spatial and frequency domain image transforms on enhancement and
restoration of images
CO3: Define the need for compression and evaluate the basic compression algorithms
CO4: Study the techniques to recover the desired signal parameters and information from the
signal corrupted by noisy channel
CO5:Understand the algorithms available for performing analysis on video data and address the
challenges
CO6: Understand the approaches for identifying and tracking objects and person with motion
based algorithms.
TOTAL :45+30=75 PERIODS
REFERENCES
1. Digital Image Processing – Rafael C. Gonzalez, Richard E. Woods, 3rd Edition, Pearson, 2008
2. John J. Proakis, Dimitris G. Manolakis, “Digital Signal Processing”, Pearson Education, 2002.
3. Digital Image Processing and Analysis-Human and Computer Vision Application with using
CVIP Tools – Scotte Umbaugh, 2nd Ed, CRC Press, 2011
4. John C. Russ, F. Brent Neal-The Image Processing Handbook, Seventh Edition, The Kindle
edition (2016), CRC Press,Taylor & Francis Group.
5. John G. Proakis, Masoud Salehi, “Communication Systems Engineering”, Prentice Hall, 1994.
6. Richard Szeliski, “Computer Vision: Algorithms and Applications”, Springer, 2011.
7. Yao Wang, JornOstermann and Ya-Qin Zhang, “Video Processing and Communications”,
Prentice Hall, 2001.
 CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 - - 1 1 - 3

2 - - 1 1 - 3

3 - - 1 1 - 3

4 2 2 2 2 1 3

5 3 3 3 3 2 3

6 3 3 3 3 2 3

Avg 2.6 2.6 1.8 1.8 1.6 3

DS4071 RADAR SIGNAL PROCESSING LTPC

302 4
COURSE OBJECTIVES:
 To understand the Radar Signal acquisition and sampling in multiple domains
 To provide clear instruction in radar DSP basics
 To equip the skills needed in both design and analysis of common radar algorithms
 To understand the basics of synthetic aperture imaging and adaptive array processing
 To illustrate how theoretical results are derived and applied in practice

UNIT I INTRODUCTION TO RADAR SYSTEMS 9

History and application of radar, basic radar function, elements of pulsed radar,review of signal
processing concepts and operations, A preview of basic radar signal processing, radar system
components, advanced radar signal processing

UNIT II SIGNAL MODELS 9

Components of a radar signal, amplitude models, types of clutters, noise model and signal-to noise
ratio, jamming, frequency models: the doppler shift, spatial models, spectral model

UNIT III SAMPLING AND QUANTIZATION OF PULSED RADAR SIGNALS 9

Domains and criteria for sampling radar signals, Sampling in the fast time dimension, Sampling in
slow time: selecting the pulse repetition interval, sampling the doppler spectrum, Sampling in the
spatial and angle dimension, Quantization, I/Q Imbalance and Digital I/Q.

UNIT IV RADAR WAVEFORMS 9

Introduction, The waveform matched filter, Matched filtering of moving targets, The ambiguity
function, The pulse burst waveform, frequency-modulated pulse compression waveforms, Range
sidelobe control for FM waveforms, the stepped frequency waveform, Phase-modulated pulse
compression waveforms, COSTAS Frequency Codes.
UNIT V DOPPLER PROCESSING 9
Alternate forms of the Doppler spectrum, Moving target indication (MTI), Pulse Doppler processing,
dwell-to-dwell stagger, Pulse pair processing, additional Doppler processing issues, clutter
mapping and the moving target detector, MTI for moving platforms: adaptive displaced phase
center antenna processing

PRACTICAL EXERCISES: 30 PERIODS

1.Matched filtering operation
2.Modeling the Propagation of Radar Signals
3.Modeling of radar targets
4. Density-based algorithm for clustering data.
5.MTI radar design, target detection in noise
6.Estimation of bearing angle in noise, clutter modelling
7.Frequency modulated radar signal generation
8.Doppler shift Signal strength
9.SNR loss measurement in pulse compression
10.detection performance of a radar system

TOTAL:45+30=75 PERIODS
COURSE OUTCOMES:
Upon completion of the course, the students will be able to
CO1: perform radar signal acquisition and sampling
CO2: perform algorithm on radar processing
CO3 design basic radar algorithm
CO4: design on aperture imaging and array processing
CO5: Illustrate theoretical results are derived and applied in practice

REFERENCES
1. Michael O Kolawole, "Radar systems, Peak Detection and Tracking", Elseveir. 2003
2. Introduction To Radar Systems 3/E, Skolnik, McGraw Hill. 2017
3. Radar Principles, Peyton Z. Peebles, Wiley India 2009
4. And Marvin N. Cohen, Fred E. Nathanson, Radar Design Principles-Signal Processing and
the environment PHI, 2nd edition, 2006.
CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 1 1 1 1 1 1

2 2 2 2 1 2 1

3 3 3 2 3 3 3

4 3 3 2 3 3 3

5 2 2 2 2 2 2

Avg 2.2 2.2 1.8 2 2.2 2

NC4006 NETWORK PROTOCOLS AND PROGRAMMING LTPC
3 024
COURSE OBJECTIVES:
 Define and explain the concept of a networking protocol
 To understand the requirements of a Protocol and design it.
 To Validate the designed protocols

UNIT I INTRODUCTION 9
Communication Model, Software, Subsystems, Protocol, Communication protocol development
methods, Protocol Engineering Process, Layered Architecture, Network services and interfaces,
Protocol functions, OSI, TCP/IP, Wireless Protocol Challenges, Application Protocols.

UNIT II PROTOCOL SPECIFICATION 9

Components, Services, Protocol Entity, Interface, Interactions, Multimedia, Internet. Protocol
Specification Languages, SDL, SPIN, Estelle, E-Lotus, CPN, Uppal, UML.

UNIT III PROTOCOL VERIFICATION AND VALIDATION 9

Finite State Machines, Design Errors, Approaches, SDL based, Communication Protocol
Conformance Test Principle, Test Execution, Methodology and Framework, Architectures,
Generation Methods

UNIT IV PROTOCOL PERFORMANCE TESTING 9

Protocol Performance Testing, SDL based TCP and OSPF, Interoperability, SDL based CSMA/CD
and CSMA/CA, Scalability, Protocol Synthesis, Interactive and Automatic, SDL from MSC, Re-
synthesis

UNIT V IMPLEMENTATION 9
Protocol implementation, requirement, Object based, compilers, Tool for Protocol Engineering

LIST OF EXPERIMENTS
1. AODV/DSR routing
2. Design and setup a network and configure different network protocols.
3. Implement client-server communication using socket programming and TCP & UDP as
transport layer protocol
4. Security algorithms in wired network
5. MAC protocols Wired and wireless
6. Configuration of LAN & Configuration of VLAN- Tunneling
7. Configuration of WLAN
8.Design and configure a network with multiple subnets with wired and wireless LANs using
required network devices. Configure commonly used services in the network.

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1:Compare the communication protocol development methods.
CO2: Apply protocol specification languages for the given problems.
CO3: Validate and verify using methods.
CO4: Perform protocol verification and validation testing.
CO5 :Implement tools for protocol engineering.
TOTAL:45+30=75 PERIODS
REFERENCES

1. Elements of network Protocol Design: Mohamed G. Gouda (Wiley Publications), 2006.

2. Pallapa Venkataram, Sunil Kumar S Manvi, B. Sathish Babu “ Communication Protocol
Engineering, PHI, Learning, 2014.
3. Mohammed G. Gouda: Elements of Protocol Design, Wiley Student Edition, 2004.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 3 3 2 1 1

2 3 3 3 2 1 1

3 3 3 3 2 1 1

4 3 3 3 2 1 1

5 3 3 3 2 1 2

Avg 3 3 3 2 1 1.2

EL4072 SIGNAL DETECTION AND ESTIMATION LTPC

3 024
COURSE OBJECTIVES:
 To understand the concepts of detection and estimation.
 To learn the basics of multi-user detection theory
 To understand the theory behind various estimation techniques.
 To understand Wiener filter and Kalman filter in detail.

UNIT I REVIEW OF PROBABILITY AND STOCHASTIC PROCESS 9

Conditional Probability, Bayes' Theorem , Random Variables, Conditional Distributions and
Densities, moments and distribution of random variables., Stationary Processes Cyclostationary
Processes Averages and Ergodicity Autocorrelation Function Power Spectral Density Discrete
Time Stochastic Processes, Spatial Stochastic Processes, Random Signals, Relationship of Power
Spectral Density and Autocorrelation Function.

UNIT II SINGLE AND MULTIPLE SAMPLE DETECTION 9

Hypothesis Testing and the MAP Criterion, Bayes Criterion, Minimax Criterion, Neyman-Pearson
Criterion, Sequential Detection, The Optimum Digital Detector in Additive Gaussian Noise ,
Performance of Binary Receivers in AWGN.

UNIT III FUNDAMENTALS OF ESTIMATION THEORY 9

Formulation of the General Parameter Estimation Problem, Relationship between Detection and
Estimation Theory, Types of Estimation Problems, Properties of Estimators, Bayes estimation,
Minimax Estimation, Maximum-Likelihood Estimation, Comparison of Estimators of Parameters.
UNIT IV WIENER AND KALMAN FILTERS 9
Orthogonality Principle, Autoregressive Techniques, Discrete Wiener Filter, Continuous Wiener
Filter, Generalization of Discrete and Continuous Filter Representations , Linear Least-Squares
Methods, Minimum-Variance Weighted Least-Squares Methods, Minimum-Variance, Least
Squares, Kalman Algorithm - Computational Considerations, Signal Estimation, Continuous
Kalman Filter, Extended Kalman Filter.

UNIT V APPLICATIONS 9
Detector Structures in Non-Gaussian Noise , Examples of Noise Models, Receiver Structures, and
Error-Rate Performance, Estimation of Non-Gaussian Noise Parameters Fading Multipath Channel
Models, Receiver Structures with Known Channel Parameters, Receiver Structures without
Knowledge of Phase, Receiver Structures without Knowledge of Amplitude or Phase, Receiver
Structures and Performance with No Channel Knowledge.

PRACTICALS: (30)
Software Requirement: Matlab / Python / Equivalent
1. Power Spectrum Estimation of a Random Signal
2. Maximum Likelihood Estimation
3. Design of optimum receiver in AWGN channel
4. Wiener Filter Design
5. Adaptive Filter Design using LMS algorithm
6. Minimum Variance Estimation

COURSE OUTCOMES:
Upon completion of the course the student will be
CO1: Able to understand the importance of probability and stochastic process concepts in
detection and estimation.
CO2: Able to design optimum detector and estimator for AWGN channel
CO3: Able to design and analyze the various estimators.
CO4: Able to design Wiener and Kalman filters to solve linear estimation problems.
CO5: Able to design and develop novel receiver structures suitable for modern technology.
TOTAL:45+30=75 PERIODS
REFERENCES
1. Harry L. Van Trees, "Detection, Estimation and Modulation Theory", Part I John Wiley and
Sons, New York, 2004.
2. Ludeman, Lonnie C. Random processes: filtering, estimation, and detection. John Wiley &
Sons, Inc., 2003
3. . Sergio Verdu “ Multi User Detection” Cambridge University Press, 1998
4. Steven M. Kay, "Fundamentals of Statistical Processing, Volume I: Estimation Theory”,
Prentice Hall Signal Processing Series, Prentice Hall, PTR, NewJersy, 1993.
5. Thomas Schonhoff, "Detection and Estimation Theory”, Prentice Hall, NewJersy, 2007.

CO-PO Mapping

CO POs
PO1 PO2 PO3 PO4 PO5 PO6
1 3 1 2 2 3 2

2 3 1 2 2 3 2
 3 3 2 2 2 3 2

4 3 2 2 2 3 2

5 3 2 2 2 3 2

Avg 3 1.6 2 2 3 2

AUDIT COURSES

AX4091 ENGLISH FOR RESEARCH PAPER WRITING LT PC

2 00 0
COURSE OBJECTIVES:
 Teach how to improve writing skills and level of readability
 Tell about what to write in each section
 Summarize the skills needed when writing a Title
 Infer the skills needed when writing the Conclusion
 Ensure the quality of paper at very first-time submission

UNIT I INTRODUCTION TO RESEARCH PAPER WRITING 6

Planning and Preparation, Word Order, Breaking up long sentences, Structuring Paragraphs and
Sentences, Being Concise and Removing Redundancy, Avoiding Ambiguity and Vagueness

UNIT II PRESENTATION SKILLS 6

Clarifying Who Did What, Highlighting Your Findings, Hedging and Criticizing, Paraphrasing and
Plagiarism, Sections of a Paper, Abstracts, Introduction

UNIT III TITLE WRITING SKILLS 6

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, Methods, Results, Discussion, Conclusions, The Final Check

UNIT IV RESULT WRITING SKILLS 6

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

UNIT V VERIFICATION SKILLS 6

Useful phrases, checking Plagiarism, how to ensure paper is as good as it could possibly be the
first- time submission
TOTAL: 30 PERIODS
COURSE OUTCOMES:
CO1 –Understand that how to improve your writing skills and level of readability
CO2 – Learn about what to write in each section
CO3 – Understand the skills needed when writing a Title
CO4 – Understand the skills needed when writing the Conclusion
CO5 – Ensure the good quality of paper at very first-time submission
REFERENCES:
1. Adrian Wallwork , English for Writing Research Papers, Springer New York Dordrecht
Heidelberg London, 2011
2. Day R How to Write and Publish a Scientific Paper, Cambridge University Press 2006
3. Goldbort R Writing for Science, Yale University Press (available on Google Books) 2006
4. Highman N, Handbook of Writing for the Mathematical Sciences, SIAM. Highman’s
book 1998.

AX4092 DISASTER MANAGEMENT L T PC

2 0 0 0
COURSE OBJECTIVES:
 Summarize basics of disaster

 Explain a critical understanding of key concepts in disaster risk reduction and humanitarian
response.
 Illustrate disaster risk reduction and humanitarian response policy and practice from
multiple perspectives.
 Describe an understanding of standards of humanitarian response and practical relevance
in specific types of disasters and conflict situations.
 Develop the strengths and weaknesses of disaster management approaches

UNIT I INTRODUCTION 6
Disaster: Definition, Factors and Significance; Difference between Hazard And Disaster; Natural
and Manmade Disasters: Difference, Nature, Types and Magnitude.

UNIT II REPERCUSSIONS OF DISASTERS AND HAZARDS 6

Economic Damage, Loss of Human and Animal Life, Destruction Of Ecosystem. Natural Disasters:
Earthquakes, Volcanisms, Cyclones, Tsunamis, Floods, Droughts And Famines, Landslides And
Avalanches, Man-made disaster: Nuclear Reactor Meltdown, Industrial Accidents, Oil Slicks And
Spills, Outbreaks Of Disease And Epidemics, War And Conflicts.

UNIT III DISASTER PRONE AREAS IN INDIA 6

Study of Seismic Zones; Areas Prone To Floods and Droughts, Landslides And Avalanches; Areas
Prone To Cyclonic and Coastal Hazards with Special Reference To Tsunami; Post-Disaster
Diseases and Epidemics

UNIT IV DISASTER PREPAREDNESS AND MANAGEMENT 6

Preparedness: Monitoring Of Phenomena Triggering a Disaster or Hazard; Evaluation of Risk:
Application of Remote Sensing, Data from Meteorological And Other Agencies, Media Reports:
Governmental and Community Preparedness.

UNIT V RISK ASSESSMENT 6

Disaster Risk: Concept and Elements, Disaster Risk Reduction, Global and National Disaster Risk
Situation. Techniques of Risk Assessment, Global Co-Operation in Risk Assessment and Warning,
People’s Participation in Risk Assessment. Strategies for Survival
TOTAL : 30 PERIODS
COURSE OUTCOMES:
CO1: Ability to summarize basics of disaster
CO2: Ability to explain a critical understanding of key concepts in disaster risk reduction and
humanitarian response.
CO3: Ability to illustrate disaster risk reduction and humanitarian response policy and practice
from multiple perspectives.
CO4: Ability to describe an understanding of standards of humanitarian response and practical
relevance in specific types of disasters and conflict situations.
CO5: Ability to develop the strengths and weaknesses of disaster management approaches

REFERENCES:
1. Goel S. L., Disaster Administration And Management Text And Case Studies”,Deep & Deep
Publication Pvt. Ltd., New Delhi,2009.
2. NishithaRai, Singh AK, “Disaster Management in India: Perspectives, issues and strategies
“’NewRoyal book Company,2007.
3. Sahni, PardeepEt.Al. ,” Disaster Mitigation Experiences And Reflections”, Prentice Hall
OfIndia, New Delhi,2001.

AX4093 CONSTITUTION OF INDIA L T P C

2 0 0 0
COURSE OBJECTIVES:
Students will be able to:
 Understand the premises informing the twin themes of liberty and freedom from a civil
rights perspective.
 To address the growth of Indian opinion regarding modern Indian intellectuals’
constitutional
 Role and entitlement to civil and economic rights as well as the emergence nation hood in
the early years of Indian nationalism.
 To address the role of socialism in India after the commencement of the Bolshevik
Revolutionin1917and its impact on the initial drafting of the Indian Constitution.

UNIT I HISTORY OF MAKING OF THE INDIAN CONSTITUTION

History, Drafting Committee, (Composition & Working)

UNIT II PHILOSOPHY OF THE INDIAN CONSTITUTION

Preamble, Salient Features

UNIT III CONTOURS OF CONSTITUTIONAL RIGHTS AND 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.

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.

UNIT V LOCAL ADMINISTRATION

District’s Administration head: Role and Importance Municipalities: Introduction, Mayor and role
of Elected Representative, CEO, 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.

UNIT VI ELECTION COMMISSION

Election Commission: Role and Functioning. Chief Election Commissioner and Election
Commissioners - Institute and Bodies for the welfare of SC/ST/OBC and women.

TOTAL: 30 PERIODS
COURSE OUTCOMES:
Students will be able to:
 Discuss the growth of the demand for civil rights in India for the bulk of Indians before
the arrival of Gandhi in Indian politics.
 Discuss the intellectual origins of the framework of argument that informed the
conceptualization
 of social reforms leading to revolution in India.
 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.
 Discuss the passage of the Hindu Code Bill of 1956.

SUGGESTED READING
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 Edn., Lexis Nexis,2014.
4. D.D. Basu, Introduction to the Constitution of India, Lexis Nexis, 2015.

AX4094 நற் றமிழ் இலக்கியம் L T P C

2 0 0 0
UNIT I சங் க இலக்கியம் 6
1. தமிழின் துவக்க நூல் ததொல் கொப் பியம்
– எழுத்து, த ொல் , தபொருள்
2. அகநொனூறு (82)
- இயற் கக இன்னிக அரங் கம்
3. குறிஞ் சிப் பொட்டின் மலர்க்கொட்சி
4. புறநொனூறு (95,195)
- பபொகர நிறுத்திய ஒளகவயொர்

UNIT II அறநநறித் தமிழ் 6

1. அறதநறி வகுத்த திருவள் ளுவர்
- அறம் வலியுறுத்தல் , அன்புகடகம, ஒப் புறவு அறிதல் , ஈகக,
புகழ்
2. பிற அறநூல் கள் - இலக்கிய மருந்து
– ஏலொதி, சிறுபஞ் மூலம் , திரிகடுகம் , ஆ ொரக்பகொகவ
(தூய் கமகய வலியுறுத்தும் நூல் )
UNIT III இரட்டடக் காப் பியங் கள் 6
1. கண்ணகியின் புரட்சி
- சிலப் பதிகொர வழக்குகர கொகத
2. மூகப கவ இலக்கியம் மணிபமககல
- சிகறக்பகொட்டம் அறக்பகொட்டமொகிய கொகத

UNIT IV அருள் நநறித் தமிழ் 6

1. சிறுபொணொற் றுப் பகட
- பொரி முல் கலக்குத் பதர் தகொடுத்தது, பபகன் மயிலுக்குப்
பபொர்கவ தகொடுத்தது, அதியமொன் ஒளகவக்கு தநல் லிக்கனி
தகொடுத்தது, அர ர் பண்புகள்
2. நற் றிகண
- அன்கனக்குரிய புன்கன சிறப் பு
3. திருமந்திரம் (617, 618)
- இயமம் நியமம் விதிகள்
4. தர்ம ் ொகலகய நிறுவிய வள் ளலொர்
5. புறநொனூறு
- சிறுவபன வள் ளலொனொன்
6. அகநொனூறு (4) - வண்டு
நற் றிகண (11) - நண்டு
கலித்ததொகக (11) - யொகன, புறொ
ஐந்திகண 50 (27) - மொன்
ஆகியகவ பற் றிய த ய் திகள்

UNIT V நவீன தமிழ் இலக்கியம் 6

1. உகரநகடத் தமிழ் ,
- தமிழின் முதல் புதினம் ,
- தமிழின் முதல் சிறுககத,
- கட்டுகர இலக்கியம் ,
- பயண இலக்கியம் ,
- நொடகம் ,
2. நொட்டு விடுதகல பபொரொட்டமும் தமிழ் இலக்கியமும் ,
3. முதொய விடுதகலயும் தமிழ் இலக்கியமும் ,
4. தபண் விடுதகலயும் விளிம் பு நிகலயினரின் பமம் பொட்டில் தமிழ்
இலக்கியமும் ,
5. அறிவியல் தமிழ் ,
6. இகணயத்தில் தமிழ் ,
7. சுற் று சூ
் ழல் பமம் பொட்டில் தமிழ் இலக்கியம் .
TOTAL : 30 PERIODS

தமிழ் இலக்கிய நெளியீடுகள் / புத்தகங் கள்

1. தமிழ் இகணய கல் விக்கழகம் (Tamil Virtual University)
 - www.tamilvu.org
2. தமிழ் விக்கிப் பீடியொ (Tamil Wikipedia)
-https://ta.wikipedia.org
3. தர்மபுர ஆதீன தவளியீடு
4. வொழ் வியல் களஞ் சியம்
- தமிழ் ப் பல் ககலக்கழகம் , தஞ் ொவூர்
5. தமிழ் ககலக் களஞ் சியம்
- தமிழ் வளர் சி
் த் துகற (thamilvalarchithurai.com)
6. அறிவியல் களஞ் சியம்
- தமிழ் ப் பல் ககலக்கழகம் , தஞ் ொவூர்

OPEN ELECTIVES

OCE431 INTEGRATED WATER RESOURCES MANAGEMENT LT PC

3 0 0 3

OBJECTIVE
 Students will be introduced to the concepts and principles of IWRM, which is inclusive of
the economics, public-private partnership, water & health, water & food security and legal &
regulatory settings.

UNIT I CONTEXT FOR IWRM 9

Water as a global issue: key challenges – Definition of IWRM within the broader context of
development – Key elements of IWRM - Principles – Paradigm shift in water management -
Complexity of the IWRM process – UN World Water Assessment - SDGs.

UNIT II WATER ECONOMICS 9

Economic view of water issues: economic characteristics of water good and services – Non-market
monetary valuation methods – Water economic instruments – Private sector involvement in water
resources management: PPP objectives, PPP models, PPP processes, PPP experiences through
case studies.

UNIT III LEGAL AND REGULATORY SETTINGS 9

Basic notion of law and governance: principles of international and national law in the area of water
management - Understanding UN law on non-navigable uses of international water courses –
International law for groundwater management – World Water Forums – Global Water
Partnerships - Development of IWRM in line with legal and regulatory framework.

UNIT IV WATER AND HEALTH WITHIN THE IWRM CONTEXT 9

Links between water and health: options to include water management interventions for health –
Health protection and promotion in the context of IWRM – Global burden of Diseases - Health
impact assessment of water resources development projects – Case studies.
UNIT V AGRICULTURE IN THE CONCEPT OF IWRM 9
Water for food production: ‘blue’ versus ‘green’ water debate – Water foot print - Virtual water trade
for achieving global water and food security –- Irrigation efficiencies, irrigation methods - current
water pricing policy– scope to relook pricing.
TOTAL: 45 PERIODS
OUTCOMES
 On completion of the course, the student is expected to be able to

CO1 Describe the context and principles of IWRM; Compare the conventional and integrated
ways of water management.
CO2 Select the best economic option among the alternatives; illustrate the pros and cons of PPP
through case studies.
CO3 Apply law and governance in the context of IWRM.
CO4 Discuss the linkages between water-health; develop a HIA framework.
CO5 Analyse how the virtual water concept pave way to alternate policy options.
REFERENCES:
1. Cech Thomas V., Principles of water resources: history, development, management and
policy. John Wiley and Sons Inc., New York. 2003.
2. Mollinga .P. etal “ Integrated Water Resources Management”, Water in South Asia Volume I,
Sage Publications, 2006.
3. Technical Advisory Committee, Integrated Water Resources management, Technical
Advisory Committee Background Paper No: 4. Global water partnership, Stockholm,
Sweden. 2002.
4. Technical Advisory Committee, Dublin principles for water as reflected in comparative
assessment of institutional and legal arrangements for Integrated Water Resources
Management, Technical Advisory Committee Background paper No: 3. Global water
partnership, Stockholm, Sweden. 1999.
5. Technical Advisory Committee, Effective Water Governance”. Technical Advisory
Committee Background paper No: 7. Global water partnership, Stockholm, Sweden, 2003.

OCE432 WATER, SANITATION AND HEALTH LTPC

3003
OBJECTIVES:
• Understand the accelerating health impacts due to the present managerial aspects and
initiatives in water and sanitation and health sectors in the developing scenario

UNIT I FUNDAMENTALS WASH 9

Meanings and Definition: Safe Water- Health, Nexus: Water- Sanitation - Health and Hygiene –
Equity issues-Water security - Food Security. Sanitation And Hygiene (WASH) and Integrated
Water Resources Management (IWRM) - Need and Importance of WASH

UNIT II MANAGERIAL IMPLICATIONS AND IMPACT 9

Third World Scenario – Poor and Multidimensional Deprivation--Health Burden in Developing
Scenario -Factors contribute to water, sanitation and hygiene related diseases-Social: Social
Stratification and Literacy Demography: Population and Migration- Fertility - Mortality-
Environment: Water Borne-Water Washed and Water Based Diseases - Economic: Wage - Water
and Health Budgeting -Psychological: Non-compliance - Disease Relapse - Political: Political Will.

UNIT III CHALLENGES IN MANAGEMENT AND DEVELOPMENT 9

Common Challenges in WASH - Bureaucracy and Users- Water Utilities -Sectoral Allocation:-
Infrastructure- Service Delivery: Health services: Macro and Micro- level: Community and Gender
Issues- Equity Issues - Paradigm Shift: Democratization of Reforms and Initiatives.

UNIT IV GOVERNANCE 9
Public health -Community Health Assessment and Improvement Planning (CHA/CHIP)-
Infrastructure and Investments on Water, (WASH) - Cost Benefit Analysis – Institutional
Intervention-Public Private Partnership - Policy Directives - Social Insurance -Political Will vs
Participatory Governance -

UNIT V INITIATIVES 9
Management vs Development -Accelerating Development- Development Indicators -Inclusive
Development-Global and Local- Millennium Development Goal (MDG) and Targets - Five Year
Plans - Implementation - Capacity Building - Case studies on WASH.
TOTAL: 45 PERIODS
OUTCOMES:
CO1 Capture to fundamental concepts and terms which are to be applied and understood
all through the study.
CO2 Comprehend the various factors affecting water sanitation and health through the lens
of third world scenario.
CO3 Critically analyse and articulate the underlying common challenges in water, sanitation
and health.
CO4 Acquire knowledge on the attributes of governance and its say on water sanitation and
health.
CO5 Gain an overarching insight in to the aspects of sustainable resource management in
the absence of a clear level playing field in the developmental aspects.
REFERENCES
1. Bonitha R., Beaglehole R.,Kjellstorm, 2006, “Basic Epidemiology”, 2nd Edition, World Health
Organization.

2. Van Note Chism, N. and Bickford, D. J. (2002), Improving the environment for learning: An
expanded agenda. New Directions for Teaching and Learning, 2002: 91–98.
doi: 10.1002/tl.83Improving the Environment for learning: An Expanded Agenda

3. National Research Council. Global Issues in Water, Sanitation, and Health: Workshop
Summary. Washington, DC: The National Academies Press, 2009.

4. Sen, Amartya 1997. On Economic Inequality. Enlarged edition, with annex by JamesFoster
and Amartya Sen, Oxford: Claredon Press, 1997.

5. Intersectoral Water Allocation Planning and Management, 2000, World Bank Publishers
www. Amazon.com

6. Third World Network.org (www.twn.org).

OCE433 PRINCIPLES OF SUSTAINABLE DEVELOPMENT LT PC
3 0 0 3

OBJECTIVES:
 To impart knowledge on environmental, social and economic dimensions of sustainability
and the principles evolved through landmark events so as to develop an action mindset for
sustainable development.

UNIT I SUSTAINABILITY AND DEVELOPMENT CHALLEGES 9

Definition of sustainability – environmental, economical and social dimensions of sustainability -
sustainable development models – strong and weak sustainability – defining development-
millennium development goals – mindsets for sustainability: earthly, analytical, precautionary,
action and collaborative– syndromes of global change: utilisation syndromes, development
syndromes, and sink syndromes – core problems and cross cutting Issues of the 21 century -
global, regional and local environmental issues – social insecurity - resource degradation –climate
change – desertification.

UNIT II PRINCIPLES AND FRAME WORK 9

History and emergence of the concept of sustainable development - our common future -
Stockholm to Rio plus 20– Rio Principles of sustainable development – Agenda 21 natural step-
peoples earth charter – business charter for sustainable development –UN Global Compact - Role
of civil society, business and government – United Nations’ 2030 Agenda for sustainable
development – 17 sustainable development goals and targets, indicators and intervention areas

UNIT III SUSTAINABLE DEVELOPMENT AND WELLBEING 9

The Unjust World and inequities - Quality of Life - Poverty, Population and Pollution - Combating
Poverty - - Demographic dynamics of sustainability - Strategies to end Rural and Urban Poverty
and Hunger – Sustainable Livelihood Framework- Health, Education and Empowerment of
Women, Children, Youth, Indigenous People, Non-Governmental Organizations, Local Authorities
and Industry for Prevention, Precaution , Preservation and Public participation.

UNIT IV SUSTAINABLE SOCIO-ECONOMIC SYSTEMS 10

Sustainable Development Goals and Linkage to Sustainable Consumption and Production –
Investing in Natural Capital- Agriculture, Forests, Fisheries - Food security and nutrition and
sustainable agriculture- Water and sanitation - Biodiversity conservation and Ecosystem integrity –
Ecotourism - Sustainable Cities – Sustainable Habitats- Green Buildings - Sustainable
Transportation –– Sustainable Mining - Sustainable Energy– Climate Change –Mitigation and
Adaptation - Safeguarding Marine Resources - Financial Resources and Mechanisms

UNIT V ASSESSING PROGRESS AND WAY FORWARD 8

Nature of sustainable development strategies and current practice- Sustainability in global, regional
and national context –Approaches to measuring and analysing sustainability– limitations of GDP-
Ecological Footprint- Human Development Index- Human Development Report – National
initiatives for Sustainable Development - Hurdles to Sustainability - Science and Technology for
sustainable development –Performance indicators of sustainability and Assessment mechanism –
Inclusive Green Growth and Green Economy – National Sustainable Development Strategy
Planning and National Status of Sustainable Development Goals
TOTAL: 45 PERIODS
OUTCOMES:
 On completion of the course, the student is expected to be able to
CO1 Explain and evaluate current challenges to sustainability, including modern world
social, environmental, and economic structures and crises.
CO2 Identify and critically analyze the social environmental, and economic dimensions of
sustainability in terms of UN Sustainable development goals
CO3 Develop a fair understanding of the social, economic and ecological linkage of
Human well being, production and consumption
CO4 Evaluate sustainability issues and solutions using a holistic approach that focuses on
connections between complex human and natural systems.
CO5 Integrate knowledge from multiple sources and perspectives to understand
environmental limits governing human societies and economies and social justice
dimensions of sustainability.

REFERENCES:
1. Tom Theis and Jonathan Tomkin, Sustainability: A Comprehensive Foundation, Rice
University, Houston, Texas, 2012
2. A guide to SDG interactions:from science to implementation, International Council for
Science, Paris,2017
3. Karel Mulder, Sustainable Development for Engineers - A Handbook and Resource Guide,
Rouledge Taylor and Francis, 2017.
4. The New Global Frontier - Urbanization, Poverty and Environmentin the 21st Century -
George Martine,Gordon McGranahan,Mark Montgomery and Rogelio Fernández-Castilla, IIED and
UNFPA, Earthscan, UK, 2008
5. Nolberto Munier, Introduction to Sustainability: Road to a Better Future, Springer, 2006

6. Barry Dalal Clayton and Stephen Bass, Sustainable Development Strategies- a resource
book”, Earthscan Publications Ltd, London, 2002.

OCE434 ENVIRONMENTAL IMPACT ASSESSMENT LT PC

3 0 03
OBJECTIVES:
 To make the students to understand environmental clearance, its legal requirements and to
provide knowledge on overall methodology of EIA, prediction tools and models, environmental
management plan and case studies.

UNIT I INTRODUCTION 9
Historical development of Environmental Impact Assessment (EIA). Environmental Clearance- EIA
in project cycle. legal and regulatory aspects in India – types and limitations of EIA –EIA process-
screening – scoping - terms of reference in EIA- setting – analysis – mitigation. Cross sectoral
issues –public hearing in EIA- EIA consultant accreditation.

UNIT II IMPACT INDENTIFICATION AND PREDICTION 10

Matrices – networks – checklists – cost benefit analysis – analysis of alternatives – expert systems
in EIA. prediction tools for EIA – mathematical modeling for impact prediction – assessment of
impacts – air – water – soil – noise – biological –– cumulative impact assessment
UNIT III SOCIO-ECONOMIC IMPACT ASSESSMENT 8
Socio-economic impact assessment - relationship between social impacts and change in
community and institutional arrangements. factors and methodologies- individual and family level
impacts. communities in transition-rehabilitation

UNIT IV EIA DOCUMENTATION AND ENVIRONMENTAL MANAGEMENT PLAN 9

Environmental management plan - preparation, implementation and review – mitigation and
rehabilitation plans – policy and guidelines for planning and monitoring programmes – post project
audit – documentation of EIA findings – ethical and quality aspects of environmental impact
assessment

UNIT V CASE STUDIES 9

Mining, power plants, cement plants, highways, petroleum refining industry, storage & handling of
hazardous chemicals, common hazardous waste facilities, CETPs, CMSWMF, building and
construction projects
TOTAL: 45 PERIODS

OUTCOMES:
 On completion of the course, the student is expected to be able to
CO1 Understand need for environmental clearance, its legal procedure, need of EIA,
its types, stakeholders and their roles
CO2 Understand various impact identification methodologies, prediction techniques
and model of impacts on various environments
CO3 Understand relationship between social impacts and change in community due
to development activities and rehabilitation methods
CO4 Document the EIA findings and prepare environmental management and
monitoring plan
CO5 Identify, predict and assess impacts of similar projects based on case studies

REFERENCES:
1. EIA Notification 2006 including recent amendments, by Ministry of Environment, Forest and
Climate Change, Government of India

2. Sectoral Guidelines under EIA Notification by Ministry of Environment, Forest and Climate
Change, Government of India

3. Canter, L.W., Environmental Impact Assessment, McGraw Hill, New York. 1996

4. Lawrence, D.P., Environmental Impact Assessment – Practical solutions to recurrent

problems, Wiley-Interscience, New Jersey. 2003

5. Lee N. and George C. 2000. Environmental Assessment in Developing and Transitional

Countries. Chichester: Willey

6. World Bank –Source book on EIA ,1999

7. Sam Mannan, Lees' Loss Prevention in the Process Industries, Hazard Identification
Assessment and Control, 4th Edition, Butterworth Heineman, 2012.
OIC431 BLOCKCHAIN TECHNOLOGIES LT PC
3 00 3
COURSE OBJECTIVES:
 This course is intended to study the basics of Blockchain technology.

 During this course the learner will explore various aspects of Blockchain technology like
application in various domains.

 By implementing, learners will have idea about private and public Blockchain, and smart
contract.

UNIT I INTRODUCTION OF CRYPTOGRAPHY AND BLOCKCHAIN 9

Introduction to Blockchain, Blockchain Technology Mechanisms & Networks, Blockchain Origins,
Objective of Blockchain, Blockchain Challenges, Transactions and Blocks, P2P Systems, Keys as
Identity, Digital Signatures, Hashing, and public key cryptosystems, private vs. public Blockchain.

UNIT II BITCOIN AND CRYPTOCURRENCY 9

Introduction to Bitcoin, The Bitcoin Network, The Bitcoin Mining Process, Mining Developments,
Bitcoin Wallets, Decentralization and Hard Forks, Ethereum Virtual Machine (EVM), Merkle Tree,
Double-Spend Problem, Blockchain and Digital Currency, Transactional Blocks, Impact of
Blockchain Technology on Cryptocurrency.

UNIT III INTRODUCTION TO ETHEREUM 9

Introduction to Ethereum, Consensus Mechanisms, Metamask Setup, Ethereum Accounts, ,
Transactions, Receiving Ethers, Smart Contracts.

UNIT-IV INTRODUCTION TO HYPERLEDGER AND SOLIDITY PROGRAMMING 10

Introduction to Hyperledger, Distributed Ledger Technology & its Challenges, Hyperledger &
Distributed Ledger Technology, Hyperledger Fabric, Hyperledger Composer. Solidity - Language of
Smart Contracts, Installing Solidity & Ethereum Wallet, Basics of Solidity, Layout of a Solidity
Source File & Structure of Smart Contracts, General Value Types.

UNIT V BLOCKCHAIN APPLICATIONS 8

Internet of Things, Medical Record Management System, Domain Name Service and Future of
Blockchain, Alt Coins.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
After the completion of this course, student will be able to
CO1: Understand and explore the working of Blockchain technology
CO2: Analyze the working of Smart Contracts
CO3: Understand and analyze the working of Hyperledger
CO4: Apply the learning of solidity to build de-centralized apps on Ethereum
CO5: Develop applications on Blockchain
REFERENCES:
1. Imran Bashir, “Mastering Blockchain: Distributed Ledger Technology, Decentralization, and
Smart Contracts Explained”, Second Edition, Packt Publishing, 2018.

2. Narayanan, J. Bonneau, E. Felten, A. Miller, S. Goldfeder, “Bitcoin and Cryptocurrency

Technologies: A Comprehensive Introduction” Princeton University Press, 2016

3. Antonopoulos, Mastering Bitcoin, O’Reilly Publishing, 2014. .

4. Antonopoulos and G. Wood, “Mastering Ethereum: Building Smart Contracts and Dapps”,
O’Reilly Publishing, 2018.

5. D. Drescher, Blockchain Basics. Apress, 2017.

OIC432 DEEP LEARNING L T PC

3 0 0 3
COURSE OBJECTIVES:
 Develop and Train Deep Neural Networks.

 Develop a CNN, R-CNN, Fast R-CNN, Faster-R-CNN, Mask-RCNN for detection and
recognition

 Build and train RNNs, work with NLP and Word Embeddings

 The internal structure of LSTM and GRU and the differences between them

 The Auto Encoders for Image Processing

UNIT I DEEP LEARNING CONCEPTS 6

Fundamentals about Deep Learning. Perception Learning Algorithms. Probabilistic modelling. Early
Neural Networks. How Deep Learning different from Machine Learning. Scalars. Vectors. Matrixes,
Higher Dimensional Tensors. Manipulating Tensors. Vector Data. Time Series Data. Image Data.
Video Data.

UNIT II NEURAL NETWORKS 9

About Neural Network. Building Blocks of Neural Network. Optimizers. Activation Functions. Loss
Functions. Data Pre-processing for neural networks, Feature Engineering. Overfitting and
Underfitting. Hyperparameters.

UNIT III CONVOLUTIONAL NEURAL NETWORK 10

About CNN. Linear Time Invariant. Image Processing Filtering. Building a convolutional neural
network. Input Layers, Convolution Layers. Pooling Layers. Dense Layers. Backpropagation
Through the Convolutional Layer. Filters and Feature Maps. Backpropagation Through the Pooling
Layers. Dropout Layers and Regularization. Batch Normalization. Various Activation Functions.
Various Optimizers. LeNet, AlexNet, VGG16, ResNet. Transfer Learning with Image Data. Transfer
Learning using Inception Oxford VGG Model, Google Inception Model, Microsoft ResNet Model. R-
CNN, Fast R-CNN, Faster R-CNN, Mask-RCNN, YOLO

UNIT VI NATURAL LANGUAGE PROCESSING USING RNN 10

About NLP & its Toolkits. Language Modeling . Vector Space Model (VSM). Continuous Bag of
Words (CBOW). Skip-Gram Model for Word Embedding. Part of Speech (PoS) Global Co-
occurrence Statistics–based Word Vectors. Transfer Learning. Word2Vec. Global Vectors for Word
Representation GloVe. Backpropagation Through Time. Bidirectional RNNs (BRNN) . Long Short
Term Memory (LSTM). Bi-directional LSTM. Sequence-to-Sequence Models (Seq2Seq). Gated
recurrent unit GRU.
UNIT V DEEP REINFORCEMENT & UNSUPERVISED LEARNING 10
About Deep Reinforcement Learning. Q-Learning. Deep Q-Network (DQN). Policy Gradient
Methods. Actor-Critic Algorithm. About Autoencoding. Convolutional Auto Encoding. Variational Auto
Encoding. Generative Adversarial Networks. Autoencoders for Feature Extraction. Auto Encoders
for Classification. Denoising Autoencoders. Sparse Autoencoders

COURSE OUTCOMES:
CO1: Feature Extraction from Image and Video Data
CO2: Implement Image Segmentation and Instance Segmentation in Images
CO3: Implement image recognition and image classification using a pretrained network (Transfer
Learning)
CO4: Traffic Information analysis using Twitter Data
CO5: Autoencoder for Classification & Feature Extraction
TOTAL : 45 PERIODS
REFERENCES
1. Deep Learning A Practitioner’s Approach Josh Patterson and Adam Gibson O’Reilly Media,
Inc.2017

2. Learn Keras for Deep Neural Networks, Jojo Moolayil, Apress,2018

3. Deep Learning Projects Using TensorFlow 2, Vinita Silaparasetty, Apress, 2020

4. Deep Learning with Python, FRANÇOIS CHOLLET, MANNING SHELTER ISLAND,2017

5. Pro Deep Learning with TensorFlow, Santanu Pattanayak, Apress,2017

OME431 VIBRATION AND NOISE CONTROL STRATEGIES L T PC

3 0 0 3
OBJECTIVES
 To appreciate the basic concepts of vibration in damped and undamped systems
 To appreciate the basic concepts of noise, its effect on hearing and related terminology
 To use the instruments for measuring and analyzing the vibration levels in a body
 To use the instruments for measuring and analyzing the noise levels in a system
 To learn the standards of vibration and noise levels and their control techniques

UNIT- I BASICS OF VIBRATION 9

Introduction – Sources and causes of Vibration-Mathematical Models - Displacement, velocity and
Acceleration - Classification of vibration: free and forced vibration, undamped and damped
vibration, linear and non-linear vibration - Single Degree Freedom Systems - Vibration isolation -
Determination of natural frequencies

UNIT- II BASICS OF NOISE 9

Introduction - Anatomy of human ear - Mechanism of hearing - Amplitude, frequency, wavelength
and sound pressure level - Relationship between sound power, sound intensity and sound
pressure level - Addition, subtraction and averaging decibel levels - sound spectra -Types of sound
fields - Octave band analysis - Loudness.
UNIT- III INSTRUMENTATION FOR VIBRATION MEASUREMENT 9
Experimental Methods in Vibration Analysis.- Vibration Measuring Instruments - Selection of
Sensors - Accelerometer Mountings - Vibration Exciters - Mechanical, Hydraulic, Electromagnetic
and Electrodynamics – Frequency Measuring Instruments -. System Identification from Frequency
Response -Testing for resonance and mode shapes

UNIT- IV INSTRUMENTATION FOR NOISE MEASUREMENT AND ANALYSIS 9

Microphones - Weighting networks - Sound Level meters, its classes and calibration - Noise
measurements using sound level meters - Data Loggers - Sound exposure meters - Recording of
noise - Spectrum analyser - Intensity meters - Energy density sensors - Sound source localization.

UNIT- V METHODS OF VIBRATION CONTROL, SOURCES OF NOISE AND ITS

CONTROL 9
Specification of Vibration Limits – Vibration severity standards - Vibration as condition Monitoring
Tool – Case Studies - Vibration Isolation methods - Dynamic Vibration Absorber – Need for
Balancing - Static and Dynamic Balancing machines – Field balancing - Major sources of noise -
Noise survey techniques – Measurement technique for vehicular noise - Road vehicles Noise
standard – Noise due to construction equipment and domestic appliances – Industrial noise
sources and its strategies – Noise control at the source – Noise control along the path – Acoustic
Barriers – Noise control at the receiver -- Sound transmission through barriers – Noise reduction
Vs Transmission loss - Enclosures
TOTAL: 45 PERIODS
OUTCOMES:
On Completion of the course the student will be able to
1. apply the basic concepts of vibration in damped and undamped systems
2. apply the basic concepts of noise and to understand its effects on systems
3. select the instruments required for vibration measurement and its analysis
4. select the instruments required for noise measurement and its analysis.
5. recognize the noise sources and to control the vibration levels in a body and to control noise
under different strategies.

REFERENCES:
1. Singiresu S. Rao, “Mechanical Vibrations”, Pearson Education Incorporated, 2017.
2. Graham Kelly. Sand Shashidhar K. Kudari, “Mechanical Vibrations”, Tata McGraw –Hill
Publishing Com. Ltd., 2007.
3. Ramamurti. V, “Mechanical Vibration Practice with Basic Theory”, Narosa Publishing House,
2000.
4. William T. Thomson, “Theory of Vibration with Applications”, Taylor & Francis, 2003.
5. G.K. Grover, “Mechanical Vibrations”, Nem Chand and Bros.,Roorkee, 2014.
6. A.G. Ambekar, “Mechanical Vibrations and Noise Engineering”, PHI Learning Pvt. Ltd., 2014.
7. David A. Bies and Colin H. Hansen, “Engineering Noise Control – Theory and Practice”, Spon
Press, London and New York, 2009.
OME432 ENERGY CONSERVATION AND MANAGEMENT IN DOMESTIC SECTORS

L T P C
3 0 0 3
COURSE OBJECTIVES:
1. To learn the present energy scenario and the need for energy conservation.
2. To understand the different measures for energy conservation in utilities.
3. Acquaint students with principle theories, materials, and construction techniques to create
energy efficient buildings.
4. To identify the energy demand and bridge the gap with suitable technology for sustainable
habitat
5. To get familiar with the energy technology, current status of research and find the ways to
optimize a system as per the user requirement

UNIT I ENERGY SCENARIO 9

Primary energy resources - Sectorial energy consumption (domestic, industrial and other sectors),
Energy pricing, Energy conservation and its importance, Energy Conservation Act-2001 and its
features – Energy star rating.

UNIT II HEATING, VENTILLATION & AIR CONDITIONING 9

Basics of Refrigeration and Air Conditioning – COP / EER / SEC Evaluation – SPV system design
& optimization for Solar Refrigeration.

UNIT III LIGHTING, COMPUTER, TV 9

Specification of Luminaries – Types – Efficacy – Selection & Application – Time Sensors –
Occupancy Sensors – Energy conservation measures in computer – Television – Electronic
devices.

UNIT IV ENERGY EFFICIENT BUILDINGS 9

Conventional versus Energy efficient buildings – Landscape design – Envelope heat loss and heat
gain – Passive cooling and heating – Renewable sources integration.

UNIT V ENERGY STORAGE TECHNOLOGIES 9

Necessity & types of energy storage – Thermal energy storage – Battery energy storage, charging
and discharging– Hydrogen energy storage & Super capacitors – energy density and safety issues
– Applications.
TOTAL: 45 PERIODS

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
1. Understand technical aspects of energy conservation scenario.
2. Energy audit in any type for domestic buildings and suggest the conservation measures.
3. Perform building load estimates and design the energy efficient landscape system.
4. Gain knowledge to utilize an appliance/device sustainably.
5. Understand the status and current technological advancement in energy storage field.

REFERENCES:
1. Yogi Goswami, Frank Kreith, Energy Efficiency and Renewable energy Handbook, CRC
Press, 2016
2. ASHRAE Handbook 2020 – HVAC Systems & Equipment
3. Paolo Bertoldi, Andrea Ricci, Anibal de Almeida, Energy Efficiency in Household
Appliances and Lighting, Conference proceedings, Springer, 2001
4. David A. Bainbridge, Ken Haggard, Kenneth L. Haggard, Passive Solar Architecture:
Heating, Cooling, Ventilation, Daylighting, and More Using Natural Flows, Chelsea Green
Publishing, 2011.
5. Guide book for National Certification Examination for Energy Managers and Energy
Auditors
(Could be downloaded from www.energymanagertraining.com)
6. Ibrahim Dincer and Mark A. Rosen, Thermal Energy Storage Systems and Applications,
John Wiley & Sons 2002.

7. Robert Huggins, Energy Storage: Fundamentals, Materials and Applications, 2nd edition,
Springer, 2015

8. Ru-shiliu, Leizhang, Xueliang sun, Electrochemical technologies for energy storage and
conversion, Wiley publications, 2012.

OME433 ADDITIVE MANUFACTURING L T P C

3 0 0 3

UNIT I INTRODUCTION 9
Need - Development - Rapid Prototyping Rapid Tooling – Rapid Manufacturing – Additive
Manufacturing. AM Process Chain- Classification – Benefits.

UNIT II DESIGN FOR ADDITIVE MANUFACTURING 9

CAD Model Preparation - Part Orientation and Support Structure Generation -Model Slicing - Tool
Path Generation Customized Design and Fabrication - Case Studies.

UNIT III VAT POLYMERIZATION 9

Stereolithography Apparatus (SLA)- Materials -Process -Advantages Limitations- Applications.
Digital Light Processing (DLP) - Materials – Process - Advantages - Applications. Multi Jet
Modelling (MJM) - Principles - Process - Materials - Advantages and Limitations.

UNIT IV MATERIAL EXTRUSION AND SHEET LAMINATION 9

Fused Deposition Modeling (FDM)- Process-Materials - Applications and Limitations. Sheet
Lamination Process: Laminated Object Manufacturing (LOM)- Basic Principle- Mechanism: Gluing
or Adhesive Bonding – Thermal Bonding- Materials- Application and Limitation - Bio-Additive
Manufacturing Computer Aided Tissue Engineering (CATE) – Case studies

POWDER BASED PROCESS

Selective Laser Sintering (SLS): Process –Mechanism– Typical Materials and Application- Multi
Jet Fusion - Basic Principle-– Materials- Application and Limitation - Three Dimensional Printing -
Materials -Process - Benefits and Limitations. Selective Laser Melting (SLM) and Electron Beam
Melting (EBM): Materials – Process - Advantages and Applications. Beam Deposition Process:
Laser Engineered Net Shaping (LENS)- Process -Material Delivery - Process Parameters -
Materials -Benefits -Applications.
UNIT V CASE STUDIES AND OPPORTUNITIES ADDITIVE MANUFACTURING PROCESSES
9
Education and training - Automobile- pattern and mould - tooling - Building Printing-Bio Printing -
medical implants -development of surgical tools Food Printing -Printing Electronics. Business
Opportunities and Future Directions - Intellectual Property.
TOTAL: 45 PERIODS

REFERENCES:
1. Andreas Gebhardt and Jan-Steffen Hötter “Additive Manufacturing: 3D Printing for Prototyping
and Manufacturing”, Hanser publications, United States, 2015, ISBN: 978-1- 56990-582-1.
2. Ian Gibson, David W. Rosen and Brent Stucker “Additive Manufacturing Technologies: Rapid
Prototyping to Direct Digital Manufacturing”, 2nd edition, Springer., United States, 2015,
ISBN13: 978-1493921126.
3. Amit Bandyopadhyay and Susmita Bose, “Additive Manufacturing”, 1st Edition, CRC Press.,
United States, 2015, ISBN-13: 978-1482223590
4. Andreas Gebhardt, “Understanding Additive Manufacturing: Rapid Prototyping, Rapid
Manufacturing”, Hanser Gardner Publication, Cincinnati., Ohio, 2011, ISBN :9783446425521.
5. Chua C.K., Leong K.F., and Lim C.S., “Rapid prototyping: Principles and applications”, Third
edition, World Scientific Publishers, 2010.

OME434 ELECTRIC VEHICLE TECHNOLOGY L T P C

3 0 0 3

UNIT I NEED FOR ELECTRIC VEHICLES 9

History and need for electric and hybrid vehicles, social and environmental importance of hybrid
and electric vehicles, impact of modern drive-trains on energy supplies, comparison of diesel,
petrol, electric and hybrid vehicles, limitations, technical challenges

UNIT II ELECTRIC VEHICLE ARCHITECHTURE 9

Electric vehicle types, layout and power delivery, performance – traction motor characteristics,
tractive effort, transmission requirements, vehicle performance, energy consumption, Concepts of
hybrid electric drive train, architecture of series and parallel hybrid electric drive train, merits and
demerits, mild and full hybrids, plug-in hybrid electric vehicles and range extended hybrid electric
vehicles, Fuel cell vehicles.

UNIT III ENERGY STORAGE 9

Batteries – types – lead acid batteries, nickel based batteries, and lithium based batteries,
electrochemical reactions, thermodynamic voltage, specific energy, specific power, energy
efficiency, Battery modeling and equivalent circuit, battery charging and types, battery cooling,
Ultra-capacitors, Flywheel technology, Hydrogen fuel cell, Thermal Management of the PEM fuel
cell

UNIT IV ELECTRIC DRIVES AND CONTROL 9

Types of electric motors – working principle of AC and DC motors, advantages and limitations, DC
motor drives and control, Induction motor drives and control, PMSM and brushless DC motor -
drives and control , AC and Switch reluctance motor drives and control – Drive system efficiency –
Inverters – DC and AC motor speed controllers
UNIT V DESIGN OF ELECTRIC VEHICLES 9
Materials and types of production, Chassis skate board design, motor sizing, power pack sizing,
component matching, Ideal gear box – Gear ratio, torque–speed characteristics, Dynamic equation
of vehicle motion, Maximum tractive effort – Power train tractive effort Acceleration performance,
rated vehicle velocity – maximum gradability, Brake performance, Electronic control system, safety
and challenges in electric vehicles. Case study of Nissan leaf, Toyota Prius, tesla model 3, and
Renault Zoe cars.
TOTAL: 45 PERIODS

REFERENCES:
1. Iqbal Hussein, Electric and Hybrid Vehicles: Design Fundamentals, 2nd edition CRC Press,
2011.
2. Mehrdad Ehsani, Yimi Gao, Sebastian E. Gay, Ali Emadi, Modern Electric, Hybrid Electric and
Fuel Cell Vehicles: Fundamentals, Theory and Design, CRC Press, 2004.
3. James Larminie, John Lowry, Electric Vehicle Technology Explained - Wiley, 2003.
4. Ehsani, M, “Modern Electric, Hybrid Electric and Fuel Cell Vehicles: Fundamentals, Theory and
Design”, CRC Press, 2005

OME435 NEW PRODUCT DEVELOPMENT L T P C

3 0 0 3
COURSE OBJECTIVES:
The main learning objective of this course is to prepare the students for:
1. Applying the principles of generic development process; and understanding the organization
structure for new product design and development.

2. Identfying opportunity and planning for new product design and development.

3. Conducting customer need analysis; and setting product specification for new product design
and development.

4. Generating, selecting, and testing the concepts for new product design and development.

5. Appling the principles of Industrial design and prototype for new product design and
development.

UNIT I INTRODUCTION TO PRODUCTDESIGN & DEVELOPMENT 9

Introduction – Characteristics of Successful Product Development – People involved in Product
Design and Development – Duration and Cost of Product Development – The Challenges of
Product Development – The Product Development Process – Concept Development: The
Front-End Process – Adapting the Generic Product Development Process – Product
Development Process Flows – Product Development Organizations.

UNIT II OPPORTUNITY DENTIFICATION & PRODUCT PLANNING 9

Opportunity Identification: Definition – Types of Opportunities – Tournament Structure of
Opportunity Identification – Effective Opportunity Tournaments – Opportunity Identification Process
– Product Planning: Four types of Product Development Projects – The Process of Product
Planning.

UNIT III IDENTIFYING CUSTOMER NEEDS & PRODUCT SPECIFICATIONS 9

Identifying Customer Needs: The Importance of Latent Needs – The Process of Identifying
Customer Needs. Product Specifications: Definition – Time of Specifications Establishment –
Establishing Target Specifications – Setting the Final Specifications

UNIT IV CONCEPT GENERATION, SELECTION & TESTING 9

Concept Generation: Activity of Concept Generation – Structured Approach – Five step method of
Concept Generation. Concept Selection: Methodology – Concept Screening and Concepts
Scoring. Concept testing: Seven Step activities of concept testing.

UNITV INDUSTRIAL DESIGN & PROTOTYPING 9

Industrial Design: Need and Impact–Industrial Design Process. Prototyping – Principles of
Prototyping – Prototyping Technologies – Planning for Prototypes.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
1. Apply the principles of generic development process; and understand the organization structure
for new product design and development.

2. Identify opportunity and plan for new product design and development.

3. Conduct customer need analysis; and set product specification for new product design and
development.

4. Generate, select, and test the concepts for new product design and development.

5. Apply the principles of Industrial design and prototype for design and develop new products.

TEXT BOOK:
1. Ulrich K.T., Eppinger S. D. and Anita Goyal, “Product Design and Development “McGraw-Hill
Education; 7 edition, 2020.

REFERENCES:
1. Belz A., 36-Hour Course: “Product Development” McGraw-Hill, 2010.

2. Rosenthal S.,“Effective Product Design and Development”, Business One

Orwin,Homewood, 1992,ISBN1-55623-603-4.

3. Pugh.S,“Total Design Integrated Methods for Successful Product Engineering”, Addison

Wesley Publishing,1991,ISBN0-202-41639-5.

4. Chitale, A. K. and Gupta, R. C., Product Design and Manufacturing, PHI Learning, 2013.

5. Jamnia, A., Introduction to Product Design and Development for Engineers, CRC Press,
2018.

OBA431 SUSTAINABLE MANAGEMENT LT P C

3003

COURSE OBJECTIVES:
 To provide students with fundamental knowledge of the notion of corporate sustainability.
 To determine how organizations impacts on the environment and socio-technical systems,
the relationship between social and environmental performance and competitiveness, the
approaches and methods.
UNIT I MANAGEMENT OF SUSTAINABILITY 9
Management of sustainability -rationale and political trends: An introduction to sustainability
management, International and European policies on sustainable development, theoretical pillars
in sustainability management studies.

UNIT II CORPORATE SUSTAINABILITY AND RESPONSIBILITY 9

Corporate sustainability parameter, corporate sustainability institutional framework, integration of
sustainability into strategic planning and regular business practices, fundamentals of stakeholder
engagement.

UNIT III SUSTAINABILITY MANAGEMENT: STRATEGIES AND APPROACHES 9

Corporate sustainability management and competitiveness: Sustainability-oriented corporate
strategies, markets and competitiveness, Green Management between theory and practice,
Sustainable Consumption and Green Marketing strategies, Environmental regulation and strategic
postures; Green Management approaches and tools; Green engineering: clean technologies and
innovation processes; Sustainable Supply Chain Management and Procurement.

UNIT IV SUSTAINABILITY AND INNOVATION 9

Socio-technical transitions and sustainability, Sustainable entrepreneurship, Sustainable pioneers
in green market niches, Smart communities and smart specializations.

UNIT V SUSTAINABLE MANAGEMENT OF RESOURCES, COMMODITIES AND

COMMONS 9
Energy management, Water management, Waste management, Wild Life Conservation, Emerging
trends in sustainable management, Case Studies.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
CO1: An understanding of sustainability management as an approach to aid in evaluating and
minimizing environmental impacts while achieving the expected social impact.
CO2: An understanding of corporate sustainability and responsible Business Practices
CO3: Knowledge and skills to understand, to measure and interpret sustainabilityperformances.
CO4: Knowledge of innovative practices in sustainable business and community
management
CO5: Deep understanding of sustainable management of resources and commodities

REFERENCES:
1. Daddi, T., Iraldo, F., Testa, Environmental Certification for Organizations and Products:
Management, 2015
2. Christian N. Madu, Handbook of Sustainability Management 2012
3. Petra Molthan-Hill, The Business Student's Guide to Sustainable Management: Principles
and Practice, 2014
4. Margaret Robertson, Sustainability Principles and Practice, 2014
5. Peter Rogers, An Introduction to Sustainable Development, 2006
OBA432 MICRO AND SMALL BUSINESS MANAGEMENT LTPC
3 003

COURSE OBJECTIVES
 To familiarize students with the theory and practice of small business management.
 To learn the legal issues faced by small business and how they impact operations.

UNIT I INTRODUCTION TO SMALL BUSINESS 9

Creation, Innovation, entrepreneurship and small business - Defining Small Business –Role of
Owner – Manager – government policy towards small business sector –elements of
entrepreneurship –evolution of entrepreneurship –Types of Entrepreneurship – social, civic,
corporate - Business life cycle - barriers and triggers to new venture creation – process to assist
start ups – small business and family business.

UNIT II SCREENING THE BUSINESS OPPORTUNITY AND FORMULATING THE

BUSINESS PLAN 9
Concepts of opportunity recognition; Key factors leading to new venture failure; New venture
screening process; Applying new venture screening process to the early stage small firm Role
planning in small business – importance of strategy formulation – management skills for small
business creation and development.

UNIT III BUILDING THE RIGHT TEAM AND MARKETING STRATEGY 9

Management and Leadership – employee assessments – Tuckman’s stages of group development
- The entrepreneurial process model - Delegation and team building - Comparison of HR
management in small and large firms - Importance of coaching and how to apply a coaching
model.
Marketing within the small business - success strategies for small business marketing - customer
delight and business generating systems, - market research, - assessing market performance-
sales management and strategy - the marketing mix and marketing strategy.

UNIT IV FINANCING SMALL BUSINESS 9

Main sources of entrepreneurial capital; Nature of ‘bootstrap’ financing - Difference between cash
and profit - Nature of bank financing and equity financing - Funding-equity gap for small firms.
Importance of working capital cycle - Calculation of break-even point - Power of gross profit
margin- Pricing for profit - Credit policy issues and relating these to cash flow management and
profitability.

UNIT V VALUING SMALL BUSINESS AND CRISIS MANAGEMENT 9

Causes of small business failure - Danger signals of impending trouble - Characteristics of poorly
performing firms - Turnaround strategies - Concept of business valuation - Different valuation
measurements - Nature of goodwill and how to measure it - Advantages and disadvantages of
buying an established small firm - Process of preparing a business for sale.
TOTAL: 45 PERIODS
COURSE OUTCOMES
CO1. Familiarise the students with the concept of small business
CO2. In depth knowledge on small business opportunities and challenges
CO3. Ability to devise plans for small business by building the right skills and marketing
strategies
CO4. Identify the funding source for small start ups
CO5. Business evaluation for buying and selling of small firms

REFERENCES
1. Hankinson,A.(2000). “The key factors in the profile of small firm owner-managers that
influence business performance. The South Coast Small Firms Survey, 1997-2000.” Industrial and
Commercial Training 32(3):94-98.
2. Parker,R.(2000). “Small is not necessarily beautiful: An evaluation of policy support for
small and medium-sized enterprise in Australia.” Australian Journal of Political Science 35(2):239-
253.
3. Journal articles on SME’s.

OBA433 INTELLECTUAL PROPERTY RIGHTS LTPC

300 3
COURSE OBJECTIVE

 To understand intellectual property rights and its valuation.

UNIT I INTRODUCTION 9
Intellectual property rights - Introduction, Basic concepts, Patents, Copyrights, Trademarks, Trade
Secrets, Geographic Indicators; Nature of Intellectual Property, Technological Research,
Inventions and Innovations, History - the way from WTO to WIPO, TRIPS.

UNIT II PROCESS 9
New Developments in IPR, Procedure for grant of Patents, TM, GIs, Patenting under Patent
Cooperation Treaty, Administration of Patent system in India, Patenting in foreign countries.

UNIT III STATUTES 9

International Treaties and conventions on IPRs, The TRIPs Agreement, PCT Agreement, The
Patent Act of India, Patent Amendment Act (2005), Design Act, Trademark Act, Geographical
Indication Act, Bayh- Dole Act and Issues of Academic Entrepreneurship.

UNIT IV STRATEGIES IN INTELLECTUAL PROPERTY 9

Strategies for investing in R&D, Patent Information and databases, IPR strength in India,
Traditional Knowledge, Case studies.

UNIT V MODELS 9
The technologies Know-how, concept of ownership, Significance of IP in Value Creation, IP
Valuation and IP Valuation Models, Application of Real Option Model in Strategic Decision Making,
Transfer and Licensing.
TOTAL: 45 PERIODS

COURSE OUTCOMES
CO1: Understanding of intellectual property and appreciation of the need to protect it
CO2: Awareness about the process of patenting
CO3: Understanding of the statutes related to IPR
CO4: Ability to apply strategies to protect intellectual property
CO5: Ability to apply models for making strategic decisions related to IPR
REFERENCES
1. V. Sople Vinod, Managing Intellectual Property by (Prentice hall of India Pvt.Ltd), 2006.

2. Intellectual Property rights and copyrights, EssEss Publications.

3. Primer, R. Anita Rao and Bhanoji Rao, Intellectual Property Rights, Lastain Book company.

4. Edited by Derek Bosworth and Elizabeth Webster, The Management of Intellectual Property,
Edward Elgar Publishing Ltd., 2006.

5. WIPO Intellectual Property Hand book.

OBA434 ETHICAL MANAGEMENT LTPC

3 003
COURSE OBJECTIVE
 To help students develop knowledge and competence in ethical management and decision
making in organizational contexts.

UNIT I ETHICS AND SOCIETY 9

Ethical Management- Definition, Motivation, Advantages-Practical implications of ethical
management. Managerial ethics, professional ethics, and social Responsibility-Role of culture and
society’s expectations- Individual and organizational responsibility to society and the community.

UNIT II ETHICAL DECISION MAKING AND MANAGEMENT IN A CRISIS 9

Managing in an ethical crisis, the nature of a crisis, ethics in crisis management, discuss case
studies, analyze real-world scenarios, develop ethical management skills, knowledge, and
competencies. Proactive crisis management.

UNIT III STAKEHOLDERS IN ETHICAL MANAGEMENT 9

Stakeholders in ethical management, identifying internal and external stakeholders, nature of
stakeholders, ethical management of various kinds of stakeholders: customers (product and
service issues), employees (leadership, fairness, justice, diversity) suppliers, collaborators,
business, community, the natural environment (the sustainability imperative, green management,
Contemporary issues).

UNIT IV INDIVIDUAL VARIABLES IN ETHICAL MANJAGEMENT 9

Understanding individual variables in ethics, managerial ethics, concepts in ethical psychology-
ethical awareness, ethical courage, ethical judgment, ethical foundations, ethical
emotions/intuitions/intensity. Utilization of these concepts and competencies for ethical decision-
making and management.

UNIT V PRACTICAL FIELD-GUIDE, TECHNIQUES AND SKILLS 9

Ethical management in practice, development of techniques and skills, navigating challenges and
dilemmas, resolving issues and preventing unethical management proactively. Role modelling and
creating a culture of ethical management and human flourishing.
TOTAL: 45 PERIODS
COURSE OUTCOMES
CO1: Role modelling and influencing the ethical and cultural context.
CO2: Respond to ethical crises and proactively address potential crises situations.
CO3: Understand and implement stakeholder management decisions.
CO4: Develop the ability, knowledge, and skills for ethical management.
CO5: Develop practical skills to navigate, resolve and thrive in management situations

REFERENCES
1. Brad Agle, Aaron Miller, Bill O’ Rourke, The Business Ethics Field Guide: the essential
companion to leading your career and your company, 2016.

2. Steiner & Steiner, Business, Government & Society: A managerial Perspective, 2011.

3. Lawrence & Weber, Business and Society: Stakeholders, Ethics, Public Policy, 2020.

ET4251 IoT FOR SMART SYSTEMS LTPC

3 003
COURSE OBJECTIVES:
1. To study about Internet of Things technologies and its role in real time applications.

2. To introduce the infrastructure required for IoT

3. To familiarize the accessories and communication techniques for IoT.

4. To provide insight about the embedded processor and sensors required for IoT

5. To familiarize the different platforms and Attributes for IoT

UNIT I INTRODUCTION TO INTERNET OF THINGS 9

Overview, Hardware and software requirements for IOT, Sensor and actuators, Technology
drivers, Business drivers, Typical IoT applications, Trends and implications.

UNIT II IOT ARCHITECTURE 9

IoT reference model and architecture -Node Structure - Sensing, Processing, Communication,
Powering, Networking - Topologies, Layer/Stack architecture, IoT standards, Cloud computing for
IoT, Bluetooth, Bluetooth Low Energy beacons.

UNIT III PROTOCOLS AND WIRELESS TECHNOLOGIES FOR IOT 9

PROTOCOLS:
NFC, SCADA and RFID, Zigbee MIPI, M-PHY, UniPro, SPMI, SPI, M-PCIe GSM, CDMA,
LTE, GPRS, small cell.

Wireless technologies for IoT: WiFi (IEEE 802.11), Bluetooth/Bluetooth Smart, ZigBee/ZigBee
Smart, UWB (IEEE 802.15.4), 6LoWPAN, Proprietary systems-Recent trends.

UNIT IV IOT PROCESSORS 9

Services/Attributes: Big-Data Analytics for IOT, Dependability,Interoperability, Security,
Maintainability.
Embedded processors for IOT :Introduction to Python programming -Building IOT with
RASPERRY PI and Arduino.

UNIT V CASE STUDIES 9

Industrial IoT, Home Automation, smart cities, Smart Grid, connected vehicles, electric vehicle
charging, Environment, Agriculture, Productivity Applications, IOT Defense

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of this course, the students will have the ability to
CO1: Analyze the concepts of IoT and its present developments.
CO2: Compare and contrast different platforms and infrastructures available for IoT
CO3: Explain different protocols and communication technologies used in IoT
CO4: Analyze the big data analytic and programming of IoT
CO5: Implement IoT solutions for smart applications

REFERENCES:
1. ArshdeepBahga and VijaiMadisetti : A Hands-on Approach “Internet of Things”,Universities
Press 2015.

2. Oliver Hersent , David Boswarthick and Omar Elloumi “ The Internet of Things”, Wiley,2016.

3. Samuel Greengard, “ The Internet of Things”, The MIT press, 2015.

4. Adrian McEwen and Hakim Cassimally“Designing the Internet of Things “Wiley,2014.

5. Jean- Philippe Vasseur, Adam Dunkels, “Interconnecting Smart Objects with IP: The Next
Internet” Morgan Kuffmann Publishers, 2010.
6. Adrian McEwen and Hakim Cassimally, “Designing the Internet of Things”, John Wiley and
sons, 2014.
7. Lingyang Song/DusitNiyato/ Zhu Han/ Ekram Hossain,” Wireless Device-to-Device
Communications and Networks, CAMBRIDGE UNIVERSITY PRESS,2015.
8. OvidiuVermesan and Peter Friess (Editors), “Internet of Things: Converging Technologies
for Smart Environments and Integrated Ecosystems”, River Publishers Series in Communication,
2013.
9. Vijay Madisetti , ArshdeepBahga, “Internet of Things (A Hands on-Approach)”, 2014.
10. Zach Shelby, Carsten Bormann, “6LoWPAN: The Wireless Embedded Internet”, John Wiley
and sons, 2009.
11. Lars T.Berger and Krzysztof Iniewski, “Smart Grid applications, communications and
security”, Wiley, 2015.
12. JanakaEkanayake, KithsiriLiyanage, Jianzhong Wu, Akihiko Yokoyama and Nick Jenkins, “
Smart Grid Technology and Applications”, Wiley, 2015.
13. UpenaDalal,”Wireless Communications & Networks,Oxford,2015.

ET4072 MACHINE LEARNING AND DEEP LEARNING LTPC

3 003
COURSE OBJECTIVES:
The course is aimed at
1. Understanding about the learning problem and algorithms
2. Providing insight about neural networks
3. Introducing the machine learning fundamentals and significance
4. Enabling the students to acquire knowledge about pattern recognition.
5. Motivating the students to apply deep learning algorithms for solving real life problems.

UNIT I LEARNING PROBLEMS AND ALGORITHMS 9

Various paradigms of learning problems, Supervised, Semi-supervised and Unsupervised
algorithms

UNIT II NEURAL NETWORKS 9

Differences between Biological and Artificial Neural Networks - Typical Architecture, Common
Activation Functions, Multi-layer neural network, Linear Separability, Hebb Net, Perceptron,
Adaline, Standard Back propagation Training Algorithms for Pattern Association - Hebb rule and
Delta rule, Hetero associative, Auto associative, Kohonen Self Organising Maps, Examples of
Feature Maps, Learning Vector Quantization, Gradient descent, Boltzmann Machine Learning.

UNIT III MACHINE LEARNING – FUNDAMENTALS & FEATURE SELECTIONS &

CLASSIFICATIONS 9
Classifying Samples: The confusion matrix, Accuracy, Precision, Recall, F1- Score, the curse of
dimensionality, training, testing, validation, cross validation, overfitting, under-fitting the data, early
stopping, regularization, bias and variance. Feature Selection, normalization, dimensionality
reduction, Classifiers: KNN, SVM, Decision trees, Naïve Bayes, Binary classification, multi class
classification, clustering.

UNIT IV DEEP LEARNING: CONVOLUTIONAL NEURAL NETWORKS 9

Feed forward networks, Activation functions, back propagation in CNN, optimizers, batch
normalization, convolution layers, pooling layers, fully connected layers, dropout, Examples of
CNNs.

UNIT V DEEP LEARNING: RNNS, AUTOENCODERS AND GANS 9

State, Structure of RNN Cell, LSTM and GRU, Time distributed layers, Generating Text,
Autoencoders: Convolutional Autoencoders, Denoising autoencoders, Variational autoencoders,
GANs: The discriminator, generator, DCGANs
TOTAL : 45 PERIODS
COURSE OUTCOMES (CO):
At the end of the course the student will be able to
CO1 : Illustrate the categorization of machine learning algorithms.
CO2: Compare and contrast the types of neural network architectures, activation functions
CO3: Acquaint with the pattern association using neural networks
CO4: Elaborate various terminologies related with pattern recognition and architectures of
convolutional neural networks
CO5: Construct different feature selection and classification techniques and advanced neural
network architectures such as RNN, Autoencoders, and GANs.

REFERENCES:
1. J. S. R. Jang, C. T. Sun, E. Mizutani, Neuro Fuzzy and Soft Computing - A Computational
Approach to Learning and Machine Intelligence, 2012, PHI learning
2. Deep Learning, Ian Good fellow, YoshuaBengio and Aaron Courville, MIT Press, ISBN:
9780262035613, 2016.
3. The Elements of Statistical Learning. Trevor Hastie, Robert Tibshirani and Jerome Friedman.
Second Edition. 2009.
4. Pattern Recognition and Machine Learning. Christopher Bishop. Springer. 2006.
5. Understanding Machine Learning. Shai Shalev-Shwartz and Shai Ben-David. Cambridge
University Press. 2017.

PX4012 RENEWABLE ENERGY TECHNOLOGY LTPC

3 003

OBJECTIVES:
To impart knowledge on
 Different types of renewable energy technologies
 Standalone operation, grid connected operation of renewable energy systems
UNIT I INTRODUCTION 9
Classification of energy sources – Co2 Emission - Features of Renewable energy - Renewable
energy scenario in India -Environmental aspects of electric energy conversion: impacts of
renewable energy generation on environment Per Capital Consumption - CO2 Emission -
importance of renewable energy sources, Potentials – Achievements– Applications.

UNIT II SOLAR PHOTOVOLTAICS 9

Solar Energy: Sun and Earth-Basic Characteristics of solar radiation- angle of sunrays on solar
collector-Estimating Solar Radiation Empirically - Equivalent circuit of PV Cell- Photovoltaic cell-
characteristics: P-V and I-V curve of cell-Impact of Temperature and Insolation on I-V
characteristics-Shading Impacts on I-V characteristics-Bypass diode -Blocking diode.

UNIT III PHOTOVOLTAIC SYSTEM DESIGN 9

Block diagram of solar photo voltaic system : Line commutated converters (inversion mode) -
Boost and buck-boost converters - selection of inverter, battery sizing, array sizing - PV systems
classification- standalone PV systems - Grid tied and grid interactive inverters- grid connection
issues.

UNIT IV WIND ENERGY CONVERSION SYSTEMS 9

Origin of Winds: Global and Local Winds- Aerodynamics of Wind turbine-Derivation of Betz’s limit-
Power available in wind-Classification of wind turbine: Horizontal Axis wind turbine and Vertical
axis wind turbine- Aerodynamic Efficiency-Tip Speed-Tip Speed Ratio-Solidity-Blade Count-Power
curve of wind turbine - Configurations of wind energy conversion systems: Type A, Type B, Type C
and Type D Configurations- Grid connection Issues - Grid integrated SCIG and PMSG based
WECS.

UNIT V OTHER RENEWABLE ENERGY SOURCES 9

Qualitative study of different renewable energy resources: ocean, Biomass, Hydrogen energy
systems, Fuel cells, Ocean Thermal Energy Conversion (OTEC), Tidal and wave energy,
Geothermal Energy Resources.
TOTAL : 45 PERIODS
OUTCOMES:
After completion of this course, the student will be able to:
CO1: Demonstrate the need for renewable energy sources.
CO2: Develop a stand-alone photo voltaic system and implement a maximum power point
tracking in the PV system.
CO3: Design a stand-alone and Grid connected PV system.
CO4: Analyze the different configurations of the wind energy conversion systems.
CO5: Realize the basic of various available renewable energy sources

REFERENCES:
1. S.N.Bhadra, D. Kastha, & S. Banerjee “Wind Electrical Systems”, Oxford UniversityPress,
2009.
2. Rai. G.D, “Non conventional energy sources”, Khanna publishes, 1993.
3. Rai. G.D,” Solar energy utilization”, Khanna publishes, 1993.
4. Chetan Singh Solanki, “Solar Photovoltaics: Fundamentals, Technologies and
Applications”, PHI Learning Private Limited, 2012.
5. John Twideu and Tony Weir, “Renewal Energy Resources” BSP Publications, 2006
6. Gray, L. Johnson, “Wind energy system”, prentice hall of India, 1995.
7. B.H.Khan, " Non-conventional Energy sources", , McGraw-hill, 2nd Edition, 2009.
8. Fang Lin Luo Hong Ye, " Renewable Energy systems", Taylor & Francis Group,2013.

PS4093 SMART GRID L T P C

3 0 0 3
COURSE OBJECTIVES
 To Study about Smart Grid technologies, different smart meters and advanced metering
infrastructure.

 To know about the function of smart grid.

 To familiarize the power quality management issues in Smart Grid.

 To familiarize the high performance computing for Smart Grid applications

 To get familiarized with the communication networks for Smart Grid applications

UNIT I INTRODUCTION TO SMART GRID 9

Evolution of Electric Grid, Concept, Definitions and Need for Smart Grid, Smart grid drivers,
functions, opportunities, challenges and benefits, Difference between conventional & Smart Grid,
Comparison of Micro grid and Smart grid, Present development & International policies in Smart
Grid, Smart Grid Initiative for Power Distribution Utility in India – Case Study.

UNIT II SMART GRID TECHNOLOGIES 9

Technology Drivers, Smart Integration of energy resources, Smart substations, Substation
Automation, Feeder Automation ,Transmission systems: EMS, FACTS and HVDC, Wide area
monitoring, Protection and control, Distribution systems: DMS, Volt/Var control, Fault Detection,
Isolation and service restoration, Outage management, High-Efficiency Distribution Transformers,
Phase Shifting Transformers, Plug in Hybrid Electric Vehicles (PHEV) – Grid to Vehicle and
Vehicle to Grid charging concepts.
UNIT III SMART METERS AND ADVANCED METERING INFRASTRUCTURE 9
Introduction to Smart Meters, Advanced Metering infrastructure (AMI) drivers and benefits, AMI
protocols, standards and initiatives, AMI needs in the smart grid, Phasor Measurement Unit(PMU)
& their application for monitoring & protection. Demand side management and demand response
programs, Demand pricing and Time of Use, Real Time Pricing, Peak Time Pricing.

UNIT IV POWER QUALITY MANAGEMENT IN SMART GRID 9

Power Quality & EMC in Smart Grid, Power Quality issues of Grid connected Renewable Energy
Sources, Power Quality Conditioners for Smart Grid, Web based Power Quality monitoring, Power
Quality Audit.

Unit V HIGH PERFORMANCE COMPUTING FOR SMART GRID APPLICATIONS 9

Architecture and Standards -Local Area Network (LAN), House Area Network (HAN), Wide Area
Network (WAN), Broadband over Power line (BPL), PLC, Zigbee, GSM, IP based Protocols, Basics
of Web Service and CLOUD Computing, Cyber Security for Smart Grid.
TOTAL : 45 PERIODS
COURSE OUTCOME:
Students able to
CO1: Relate with the smart resources, smart meters and other smart devices.
CO2: Explain the function of Smart Grid.
CO3: Experiment the issues of Power Quality in Smart Grid.
CO4: Analyze the performance of Smart Grid.
CO5: Recommend suitable communication networks for smart grid applications

REFERENCES
1. Stuart Borlase ‘Smart Grid: Infrastructure, Technology and Solutions’, CRC Press 2012.
2. JanakaEkanayake, Nick Jenkins, KithsiriLiyanage, Jianzhong Wu, Akihiko Yokoyama,
‘Smart Grid: Technology and Applications’, Wiley, 2012.
3. Mini S. Thomas, John D McDonald, ‘Power System SCADA and Smart Grids’, CRC Press,
2015
4. Kenneth C.Budka, Jayant G. Deshpande, Marina Thottan, ‘Communication Networks for
Smart Grids’, Springer, 2014
5. SMART GRID Fundamentals of Design and Analysis, James Momoh, IEEE press, A John
Wiley & Sons, Inc., Publication.

CP4391 SECURITY PRACTICES L T PC

3 0 0 3
COURSE OBJECTIVES:
 To learn the core fundamentals of system and web security concepts

 To have through understanding in the security concepts related to networks

 To deploy the security essentials in IT Sector

 To be exposed to the concepts of Cyber Security and cloud security

 To perform a detailed study of Privacy and Storage security and related Issues
UNIT I SYSTEM SECURITY 9
Model of network security – Security attacks, services and mechanisms – OSI security architecture
-A Cryptography primer- Intrusion detection system- Intrusion Prevention system - Security web
applications- Case study: OWASP - Top 10 Web Application Security Risks.

UNIT II NETWORK SECURITY 9

Internet Security - Intranet security- Local Area Network Security - Wireless Network Security -
Wireless Sensor Network Security- Cellular Network Security - Mobile security - IOT security -
Case Study - Kali Linux.

UNIT III SECURITY MANAGEMENT 9

Information security essentials for IT Managers- Security Management System - Policy Driven
System Management- IT Security - Online Identity and User Management System. Case study:
Metasploit

UNIT IV CYBER SECURITY AND CLOUD SECURITY 9

Cyber Forensics- Disk Forensics – Network Forensics – Wireless Forensics – Database Forensics
– Malware Forensics – Mobile Forensics – Email Forensics- Best security practices for automate
Cloud infrastructure management – Establishing trust in IaaS, PaaS, and SaaS Cloud types. Case
study: DVWA

UNIT V PRIVACY AND STORAGE SECURITY 9

Privacy on the Internet - Privacy Enhancing Technologies - Personal privacy Policies - Detection of
Conflicts in security policies- privacy and security in environment monitoring systems. Storage
Area Network Security - Storage Area Network Security Devices - Risk management - Physical
Security Essentials.
TOTAL: 45 PERIODS

COURSE OUTCOMES:
CO1: Understand the core fundamentals of system security
CO2: Apply the security concepts to wired and wireless networks
CO3: Implement and Manage the security essentials in IT Sector
CO4: Explain the concepts of Cyber Security and Cyber forensics
CO5: Be aware of Privacy and Storage security Issues.

REFERENCES
1. John R. Vacca, Computer and Information Security Handbook, Third Edition, Elsevier 2017

2. Michael E. Whitman, Herbert J. Mattord, Principles of Information Security, Seventh

Edition, Cengage Learning, 2022

3. Richard E. Smith, Elementary Information Security, Third Edition, Jones and Bartlett
Learning, 2019

4. Mayor, K.K.Mookhey, Jacopo Cervini, Fairuzan Roslan, Kevin Beaver, Metasploit Toolkit
for Penetration Testing, Exploit Development and Vulnerability Research, Syngress publications,
Elsevier, 2007. ISBN : 978-1-59749-074-0

5. John Sammons, “The Basics of Digital Forensics- The Primer for Getting Started in Digital
Forensics”, Syngress, 2012
6. Cory Altheide and Harlan Carvey, “Digital Forensics with Open Source Tools”,2011
Syngress, ISBN: 9781597495875.

7. Siani Pearson, George Yee "Privacy and Security for Cloud Computing" Computer
Communications and Networks, Springer, 2013.

MP4251 CLOUD COMPUTING TECHNOLOGIES L T PC

3 0 0 3
COURSE OBJECTIVES:
 To gain expertise in Virtualization, Virtual Machines and deploy practical virtualization
solution

 To understand the architecture, infrastructure and delivery models of cloud computing.

 To explore the roster of AWS services and illustrate the way to make applications in AWS

 To gain knowledge in the working of Windows Azure and Storage services offered by
Windows Azure

 To develop the cloud application using various programming model of Hadoop and Aneka

UNIT I VIRTUALIZATION AND VIRTUALIZATION INFRASTRUCTURE 6

Basics of Virtual Machines - Process Virtual Machines – System Virtual Machines –Emulation –
Interpretation – Binary Translation - Taxonomy of Virtual Machines. Virtualization –Management
Virtualization –– Hardware Maximization – Architectures – Virtualization Management – Storage
Virtualization – Network Virtualization- Implementation levels of virtualization – virtualization
structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource
Management – Virtualization for data center automation

UNIT II CLOUD PLATFORM ARCHITECTURE 12

Cloud Computing: Definition, Characteristics - Cloud deployment models: public, private, hybrid,
community – Categories of cloud computing: Everything as a service: Infrastructure, platform,
software- A Generic Cloud Architecture Design – Layered cloud Architectural Development –
Architectural Design Challenges

UNIT III AWS CLOUD PLATFORM - IAAS 9

Amazon Web Services: AWS Infrastructure- AWS API- AWS Management Console - Setting up
AWS Storage - Stretching out with Elastic Compute Cloud - Elastic Container Service for
Kubernetes- AWS Developer Tools: AWS Code Commit, AWS Code Build, AWS Code Deploy,
AWS Code Pipeline, AWS code Star - AWS Management Tools: Cloud Watch, AWS Auto Scaling,
AWS control Tower, Cloud Formation, Cloud Trail, AWS License Manager

UNIT IV PAAS CLOUD PLATFORM 9

Windows Azure: Origin of Windows Azure, Features, The Fabric Controller – First Cloud APP in
Windows Azure- Service Model and Managing Services: Definition and Configuration, Service
runtime API- Windows Azure Developer Portal- Service Management API- Windows Azure Storage
Characteristics-Storage Services- REST API- Blops

UNIT V PROGRAMMING MODEL 9

Introduction to Hadoop Framework - Mapreduce, Input splitting, map and reduce functions,
specifying input and output parameters, configuring and running a job –Developing Map Reduce
Applications - Design of Hadoop file system –Setting up Hadoop Cluster- Aneka: Cloud Application
Platform, Thread Programming, Task Programming and Map-Reduce Programming in Aneka

TOTAL: 45 PERIODS
COURSE OUTCOMES:
CO1: Employ the concepts of virtualization in the cloud computing
CO2: Identify the architecture, infrastructure and delivery models of cloud computing
CO3: Develop the Cloud Application in AWS platform
CO4: Apply the concepts of Windows Azure to design Cloud Application
CO5: Develop services using various Cloud computing programming models.

REFERENCES
1. Bernard Golden, Amazon Web Service for Dummies, John Wiley & Sons, 2013.

2. Raoul Alongi, AWS: The Most Complete Guide to Amazon Web Service from Beginner to
Advanced Level, Amazon Asia- Pacific Holdings Private Limited, 2019.

3. Sriram Krishnan, Programming: Windows Azure, O’Reilly,2010.

4. Rajkumar Buyya, Christian Vacchiola, S.Thamarai Selvi, Mastering Cloud Computing ,

MCGraw Hill Education (India) Pvt. Ltd., 2013.

5. Danielle Ruest, Nelson Ruest, ―Virtualization: A Beginner‟s Guide‖, McGraw-Hill Osborne

Media, 2009.

6. Jim Smith, Ravi Nair , "Virtual Machines: Versatile Platforms for Systems and Processes",
Elsevier/Morgan Kaufmann, 2005.

7. John W.Rittinghouse and James F.Ransome, "Cloud Computing:

Implementation, Management, and Security", CRC Press, 2010.

8. Toby Velte, Anthony Velte, Robert Elsenpeter, "Cloud Computing, A Practical Approach",
McGraw-Hill Osborne Media, 2009.

9. Tom White, "Hadoop: The Definitive Guide", Yahoo Press, 2012.

IF4072 DESIGN THINKING LTPC

3 003
COURSE OBJECTIVES:
 To provide a sound knowledge in UI & UX

 To understand the need for UI and UX

 Research Methods used in Design

 Tools used in UI & UX

 Creating a wireframe and prototype

UNIT I UX LIFECYCLE TEMPLATE 8

Introduction. A UX process lifecycle template. Choosing a process instance for your project. The
system complexity space. Meet the user interface team. Scope of UX presence within the team.
More about UX lifecycles. Business Strategy. Value Innovation. Validated User Research. Killer
UX Design. The Blockbuster Value Proposition. What Is a Value Proposition?.

UNIT II CONTEXTUAL INQUIRY 10

The system concept statement. User work activity data gathering. Look for emotional aspects of
work practice. Abridged contextual inquiry process. Data-driven vs. model-driven inquiry.
Organizing concepts: work roles and flow model. Creating and managing work activity notes.
Constructing your work activity affinity diagram (WAAD). Abridged contextual analysis process.
History of affinity diagrams.

UNIT III DESIGN THINKING, IDEATION, AND SKETCHING 9

Design-informing models: second span of the bridge . Some general “how to” suggestions. A New
example domain: slideshow presentations. User models. Usage models. Work environment
models. Barrier summaries. Model consolidation. Protecting your sources. Abridged methods for
design-informing models extraction. Design paradigms. Design thinking. Design perspectives. User
personas. Ideation. Sketching
8
UX GOALS, METRICS, AND TARGETS
UNIT IV
Introduction. UX goals. UX target tables. Work roles, user classes, and UX goals. UX measures.
Measuring instruments. UX metrics. Baseline level. Target level. Setting levels. Observed results.
Practical tips and cautions for creating UX targets. How UX targets help manage the user
experience engineering process.

UNIT V ANALYSING USER EXPERIENCE 10

Sharpening Your Thinking Tools. UX Research and Strength of Evidence. Agile Personas. How to
Prioritize Usability Problems. Creating Insights, Hypotheses and Testable Design Ideas. How to
Manage Design Projects with User Experience Metrics. Two Measures that Will Justify Any Design
Change. Evangelizing UX Research. How to Create a User Journey Map. Generating Solutions to
Usability Problems. Building UX Research Into the Design Studio Methodology. Dealing with
Common objections to UX Research. The User Experience Debrief Meeting. Creating a User
Experience Dashboard.

SUGGESTED ACTIVITIES:
1: Hands on Design Thinking process for a product
2: Defining the Look and Feel of any new Project
3: Create a Sample Pattern Library for that product (Mood board, Fonts, Colors based on UI
principles)
4: Identify a customer problem to solve.
5: Conduct end-to-end user research - User research, creating personas, Ideation process (User
stories, Scenarios), Flow diagrams, Flow Mapping
TOTAL : 45 PERIODS
COURSE OUTCOMES:
CO1: Build UI for user Applications
CO2: Use the UI Interaction behaviors and principles
CO3: Evaluate UX design of any product or application
CO4: Demonstrate UX Skills in product development
CO5: Implement Sketching principles
REFERENCES
1. UX for Developers: How to Integrate User-Centered Design Principles Into Your Day-to-
Day Development Work, Westley Knight. Apress, 2018

2. The UX Book: Process and Guidelines for Ensuring a Quality User Experience, Rex
Hartson, Pardha Pyla. Morgan Kaufmann, 2012

3. UX Fundamentals for Non-UX Professionals: User Experience Principles for Managers,

Writers, Designers, and Developers, Edward Stull. Apress, 2018

4. Lean UX: Designing Great Products with Agile Teams, Gothelf, Jeff, Seiden, and Josh.
O'Reilly Media, 2016

5. Designing UX: Prototyping: Because Modern Design is Never Static, Ben Coleman, and
Dan Goodwin. SitePoint, 2017

MU4153 PRINCIPLES OF MULTIMEDIA L T P C

3 0 0 3
COURSE OBJECTIVES:
 To get familiarity with gamut of multimedia and its significance
 To acquire knowledge in multimedia components.
 To acquire knowledge about multimedia tools and authoring.
 To acquire knowledge in the development of multimedia applications.
 To explore the latest trends and technologies in multimedia

UNIT I INTRODUCTION 9
Introduction to Multimedia – Characteristics of Multimedia Presentation – Multimedia Components
– Promotion of Multimedia Based Components – Digital Representation – Media and Data Streams
– Multimedia Architecture – Multimedia Documents, Multimedia Tasks and Concerns, Production,
sharing and distribution, Hypermedia, WWW and Internet, Authoring, Multimedia over wireless and
mobile networks.

Suggested Activities:
1. Flipped classroom on media Components.
2. External learning – Interactive presentation.

Suggested Evaluation Methods:

1. Tutorial – Handling media components
2. Quizzes on different types of data presentation.

UNIT II ELEMENTS OF MULTIMEDIA 9

Text-Types, Font, Unicode Standard, File Formats, Graphics and Image data representations –
data types, file formats, color models; video – color models in video, analog video, digital video, file
formats, video display interfaces, 3D video and TV: Audio – Digitization, SNR, SQNR, quantization,
audio quality, file formats, MIDI; Animation- Key Frames and Tweening, other Techniques, 2D and
3D Animation.

Suggested Activities:
1. Flipped classroom on different file formats of various media elements.
2. External learning – Adobe after effects, Adobe Media Encoder, Adobe Audition.

Suggested Evaluation Methods:

1. Demonstration on after effects animations.
2. Quizzes on file formats and color models.

UNIT III MULTIMEDIA TOOLS 9

Authoring Tools – Features and Types – Card and Page Based Tools – Icon and Object Based
Tools – Time Based Tools – Cross Platform Authoring Tools – Editing Tools – Painting and
Drawing Tools – 3D Modeling and Animation Tools – Image Editing Tools – Sound Editing Tools –
Digital Movie Tools.

Suggested Activities:
1. Flipped classroom on multimedia tools.
2. External learning – Comparison of various authoring tools.

Suggested Evaluation Methods:

1. Tutorial – Audio editing tool.
2. Quizzes on animation tools.

UNIT IV MULTIMEDIA SYSTEMS 9

Compression Types and Techniques: CODEC, Text Compression: GIF Coding Standards, JPEG
standard – JPEG 2000, basic audio compression – ADPCM, MPEG Psychoacoustics, basic Video
compression techniques – MPEG, H.26X – Multimedia Database System – User Interfaces – OS
Multimedia Support – Hardware Support – Real Time Protocols – Play Back Architectures –
Synchronization – Document Architecture – Hypermedia Concepts: Hypermedia Design – Digital
Copyrights, Content analysis.
Suggested Activities:
1. Flipped classroom on concepts of multimedia hardware architectures.
2. External learning – Digital repositories and hypermedia design.
Suggested Evaluation Methods:
1. Quizzes on multimedia hardware and compression techniques.
2. Tutorial – Hypermedia design.

UNIT V MULTIMEDIA APPLICATIONS FOR THE WEB AND MOBILE PLATFORMS 9

ADDIE Model – Conceptualization – Content Collection – Storyboard–Script Authoring Metaphors
– Testing – Report Writing – Documentation. Multimedia for the web and mobile platforms. Virtual
Reality, Internet multimedia content distribution, Multimedia Information sharing – social media
sharing, cloud computing for multimedia services, interactive cloud gaming. Multimedia information
retrieval.
Suggested Activities:
1. External learning – Game consoles.
2. External learning – VRML scripting languages.
Suggested Evaluation Methods:
1. Demonstration of simple interactive games.
2. Tutorial – Simple VRML program.
TOTAL : 45 PERIODS
COURSE OUTCOMES:
CO1:Handle the multimedia elements effectively.
CO2:Articulate the concepts and techniques used in multimedia applications.
CO3:Develop effective strategies to deliver Quality of Experience in multimedia applications.
CO4:Design and implement algorithms and techniques applied to multimedia objects.
CO5:Design and develop multimedia applications following software engineering models.

REFERENCES:
1. Li, Ze-Nian, Drew, Mark, Liu, Jiangchuan, “Fundamentals of Multimedia”, Springer, Third
Edition, 2021.
2. Prabhat K.Andleigh, Kiran Thakrar, “MULTIMEDIA SYSTEMS DESIGN”, Pearson
Education, 2015.
3. Gerald Friedland, Ramesh Jain, “Multimedia Computing”, Cambridge University Press,
2018. (digital book)
4. Ranjan Parekh, “Principles of Multimedia”, Second Edition, McGraw-Hill Education, 2017

CX4016 ENVIRONMENTAL SUSTAINABILITY L T P C

3 0 0 3
UNIT I INTRODUCTION 9
Valuing the Environment: Concepts, Valuing the Environment: Methods, Property Rights,
Externalities, and Environmental Problems

UNIT II CONCEPT OF SUSTAINABILITY 9

Sustainable Development: Defining the Concept, the Population Problem, Natural Resource
Economics: An Overview, Energy, Water, Agriculture

UNIT III SIGNIFICANCE OF BIODIVERSITY 9

Biodiversity, Forest Habitat, Commercially Valuable Species, Stationary - Source Local Air
Pollution, Acid Rain and Atmospheric Modification, Transportation

UNIT IV POLLUTION IMPACTS 9

Water Pollution, Solid Waste and Recycling, Toxic Substances and Hazardous Wastes, Global
Warming.

UNIT V ENVIRONMENTAL ECONOMICS 9

Development, Poverty, and the Environment, Visions of the Future, Environmental economics and
policy by Tom Tietenberg, Environmental Economics
TOTAL : 45 PERIODS

REFERENCES
1. Andrew Hoffman, Competitive Environmental Strategy - A Guide for the Changing Business
Landscape, Island Press.
2. Stephen Doven, Environment and Sustainability Policy: Creation, Implementation,
Evaluation, the Federation Press, 2005
3. Robert Brinkmann., Introduction to Sustainability, Wiley-Blackwell., 2016
4. Niko Roorda., Fundamentals of Sustainable Development, 3rd Edn, Routledge, 2020
5. Bhavik R Bakshi., Sustainable Engineering: Principles and Practice, Cambridge University
Press, 2019
TX4092 TEXTILE REINFORCED COMPOSITES LTPC
3003

UNIT I REINFORCEMENTS 9
Introduction – composites –classification and application; reinforcements- fibres and its properties;
preparation of reinforced materials and quality evaluation; preforms for various composites

UNIT II MATRICES 9
Preparation, chemistry, properties and applications of thermoplastic and thermoset resins;
mechanism of interaction of matrices and reinforcements; optimization of matrices

UNIT III COMPOSITE MANUFACTURING 9

Classification; methods of composites manufacturing for both thermoplastics and thermosets-
Hand layup, Filament Winding, Resin transfer moulding, prepregs and autoclave moulding,
pultrusion, vacuum impregnation methods, compression moulding; post processing of
composites and composite design requirements

UNIT IV TESTING 9
Fibre volume and weight fraction, specif ic gravity of composites, tensile, f lexural, impact,
compression, inter laminar shear stress and fatigue properties of thermoset and thermoplastic
composites.

UNIT V MECHANICS 9
Micro mechanics, macro mechanics of single layer, macro mechanics of laminate, classical
lamination theory, failure theories and prediction of inter laminar stresses using at ware
TOTAL: 45 PERIODS
REFERENCES
1. BorZ.Jang,“Advanced Polymer composites”,ASM International,USA,1994.

2. Carlsson L.A. and Pipes R.B., “Experimental Characterization of advanced

composite Materials”,SecondEdition,CRCPress,NewJersey,1996.

3. George LubinandStanley T.Peters, “Handbook of Composites”, Springer Publications,1998.

4. Mel. M. Schwartz, “Composite Materials”, Vol. 1 &2, Prentice Hall PTR, New Jersey,1997.

5. RichardM. Christensen, “Mechanics of compositematerials”,DoverPublications,2005.

6. Sanjay K. Mazumdar, “Composites Manufacturing: Materials, Product, and Process

Engineering”,CRCPress,2001

NT4002 NANOCOMPOSITE MATERIALS LT PC

3 0 03

UNIT I BASICS OF NANOCOMPOSITES 9

Nomenclature, Properties, features and processing of nanocomposites. Sample Preparation and
Characterization of Structure and Physical properties. Designing, stability and mechanical
properties and applications of super hard nanocomposites.
UNIT II METAL BASED NANOCOMPOSITES 9
Metal-metal nanocomposites, some simple preparation techniques and their properties. Metal-
Oxide or Metal-Ceramic composites, Different aspects of their preparation techniques and their
final properties and functionality. Fractal based glass-metal nanocomposites, its designing and
fractal dimension analysis. Core-Shell structured nanocomposites

UNIT III POLYMER BASED NANOCOMPOSITES 9

Preparation and characterization of diblock Copolymer based nanocomposites; Polymer Carbon
nanotubes based composites, their mechanical properties, and industrial possibilities.

UNIT IV NANOCOMPOSITE FROM BIOMATERIALS 9

Natural nanocomposite systems - spider silk, bones, shells; organic-inorganic nanocomposite
formation through self-assembly. Biomimetic synthesis of nanocomposites material; Use of
synthetic nanocomposites for bone, teeth replacement.

UNIT V NANOCOMPOSITE TECHNOLOGY 9

Nanocomposite membrane structures- Preparation and applications. Nanotechnology in Textiles
and Cosmetics-Nano-fillers embedded polypropylene fibers – Soil repellence, Lotus effect - Nano
finishing in textiles (UV resistant, anti-bacterial, hydrophilic, self-cleaning, flame retardant finishes),
Sun-screen dispersions for UV protection using titanium oxide – Colour cosmetics.
Nanotechnology in Food Technology - Nanopackaging for enhanced shelf life - Smart/Intelligent
packaging.
TOTAL : 45 PERIODS
REFERENCES:
1. Introduction to Nanocomposite Materials. Properties, Processing, Characterization-
Thomas E. Twardowski. 2007. DEStech Publications. USA.
2. Nanocomposites Science and Technology - P. M. Ajayan, L.S. Schadler, P. V.Braun 2006.
3. Physical Properties of Carbon Nanotubes- R. Saito 1998.
4. Carbon Nanotubes (Carbon , Vol 33) - M. Endo, S. Iijima, M.S. Dresselhaus 1997.
5. The search for novel, superhard materials- Stan Vepr¡ek (Review Article) JVST A, 1999
6. Nanometer versus micrometer-sized particles-Christian Brosseau, Jamal BeN Youssef,
Philippe Talbot, Anne-Marie Konn, (Review Article) J. Appl. Phys, Vol 93, 2003
7. Diblock Copolymer, - Aviram (Review Article), Nature, 2002
8. Bikramjit Basu, Kantesh Balani Advanced Structural Ceramics, A John Wiley & Sons, Inc.,
9. P. Brown and K. Stevens, Nanofibers and Nanotechnology in Textiles, Woodhead
publication, London, 2006

BY4016 IPR, BIOSAFETY AND ENTREPRENEURSHIP LT PC

3 00 3

UNIT I IPR 9
Intellectual property rights – Origin of the patent regime – Early patents act & Indian
pharmaceutical industry – Types of patents – Patent Requirements – Application preparation
filing and prosecution – Patentable subject matter – Industrial design, Protection of GMO’s IP as
a factor in R&D,IP’s of relevance to biotechnology and few case studies.

UNIT II AGREEMENTS, TREATIES AND PATENT FILING PROCEDURES 9

History of GATT Agreement – Madrid Agreement – Hague Agreement – WIPO Treaties –
 Budapest Treaty – PCT – Ordinary – PCT – Conventional – Divisional and Patent of Addition –
Specifications – Provisional and complete – Forms and fees Invention in context of “prior art” –
Patent databases – Searching International Databases – Country-wise patent searches
(USPTO,espacenet(EPO) – PATENT Scope (WIPO) – IPO, etc National & PCT filing procedure
– Time frame and cost – Status of the patent applications filed – Precautions while patenting –
disclosure/non-disclosure – Financial assistance for patenting – Introduction to existing schemes
Patent licensing and agreement Patent infringement – Meaning, scope, litigation, case studies

UNIT III BIOSAFETY 9

Introduction – Historical Backround – Introduction to Biological Safety Cabinets – Primary
Containment for Biohazards – Biosafety Levels – Biosafety Levels of Specific Microorganisms –
Recommended Biosafety Levels for Infectious Agents and Infected Animals – Biosafety
guidelines – Government of India.

UNIT IV GENETICALLY MODIFIED ORGANISMS 9

Definition of GMOs & LMOs – Roles of Institutional Biosafety Committee – RCGM – GEAC etc.
for GMO applications in food and agriculture – Environmental release of GMOs – Risk Analysis –
Risk Assessment – Risk management and communication – Overview of National Regulations
and relevant International Agreements including Cartegana Protocol.

UNIT V ENTREPRENEURSHIP DEVELOPMENT 9

Introduction – Entrepreneurship Concept – Entrepreneurship as a career – Entrepreneurial
personality – Characteristics of successful Entrepreneur – Factors affecting entrepreneurial
growth – Entrepreneurial Motivation – Competencies – Mobility – Entrepreneurship
Development Programmes (EDP) - Launching Of Small Enterprise - Definition,
Characteristics – Relationship between small and large units – Opportunities for an
Entrepreneurial career – Role of small enterprise in economic development – Problems of small
scale industries – Institutional finance to entrepreneurs - Institutional support to entrepreneurs.
TOTAL : 45 PERIODS
REFERENCES
1. Bouchoux, D.E., “Intellectual Property: The Law of Trademarks, Copyrights, Patents, and
Trade Secrets for the Paralegal”, 3rd Edition, Delmar Cengage Learning, 2008.

2. Fleming, D.O. and Hunt, D.L., “Biological Safety: Principles and Practices”, 4th Edition,
American Society for Microbiology, 2006.

3. Irish, V., “Intellectual Property Rights for Engineers”, 2nd Edition, The Institution of
Engineering and Technology, 2005.

4. Mueller, M.J., “Patent Law”, 3rd Edition, Wolters Kluwer Law & Business, 2009.

5. Young, T., “Genetically Modified Organisms and Biosafety: A Background Paper for Decision-
Makers and Others to Assist in Consideration of GMO Issues” 1st Edition, World Conservation
Union, 2004.

6. S.S Khanka, “Entrepreneurial Development”, S.Chand & Company LTD, New Delhi,
2007.