ME EXTC Sem I to IV_1 Syllabus Mumbai University

Page 1

Page 2

Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS) ,
2. The Deputy Registrar, College Affiliations & Development Department
(CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and Migration
Department (AEM) ,
4. The Deputy Registrar, Research Administration & Promotion Cell (RAPC),
5. The Deputy Registrar, Executive Au thorities Section (EA) ,
6. The Deputy Registrar, PRO, Fort , (Publications Section ),
7. The Deputy Registrar (Special Cell),
8. The Deputy Registrar, Fort/Vidyanagari Administration Department (F AD)
(VAD) , Record Section,
10. The Professor -cum- Director, Institute of Distance and Open Learning
(IDOL Admin ), Vidyanagari,

They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A. to Hon’ble Vice -Chanc ellor,
2. P.A. to Pro-Vice-Chancellor ,
3. P.A. to Registrar ,
4. All Deans of all Faculties,
5. P.A. to Finance & Account Officer , (F. &. A.O.) ,
6. P.A. to Director, Board of Examination & Evaluation,
7. P.A. to Director, Innovation, Incubation and Linkages,
8. P.A. to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. Of Information and Communication Technology (DICT)
(CCF & UCC) , Vidyanagari,
10. The Director of Board of Student Development ,
11. The Director, Department of Students Welfare (DSD) ,
12. All Deputy Registrar, Examination House,
13. The Deputy Registrar s, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -campus Thane ,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan,
16. The Assistant Registrar, Ratnagiri Sub-centre, Ratnagiri ,
17. The Assistant Registrar , Constituent Colleges Unit ,
18. BUCTU ,
19. The Receptionist ,
20. The Telephone Operator ,
21. The Secretary MUASA ,

for information.

Page 3

AC – 11 July, 2022
Item No. – 6.31 (R)





University of Mumbai








Revised Syllabus for
M.E.
(Electronics & Telecommunication Engineering)
Semester – (Sem. - I to IV)
(Choice Based Credit System)



(With effect from the academic year 2022 -23)

Page 4

Page 5

Semester I


Course
Code Course Name Teaching Scheme (Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ETC101 Advanced Digital
Signal Processing
and Applications 3 -- -- 3 -- -- 3
ETC102 Optical
Communication
Network 3 -- 3 -- 3
ETPE101 Program Elective 1 3 -- -- 3 -- -- 3
ETPE102 Program Elective 2 3 -- -- 3 -- -- 3
ETIE101 Institute Elective 1 3 -- -- 3 -- -- 3
ETL101 Program Lab-I -- 2 -- -- 1 -- 1
ETSBL101 Skill Based Lab-I -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18

Course
Code
Course Name Examination Scheme
Theory
Term
Work Pract
/
Oral
Total Internal Assessment End Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ETC101 Advanced Digital
Signal Processing and
Applications 20 20 20 80 3 -- -- 100
ETC102 Optical
Communication
Network 20 20 20 80 3 -- -- 100
ETPE101X Program Elective 1 20 20 20 80 3 -- -- 100
ETPE102X Program Elective 2 20 20 20 80 3 -- -- 100
ETIE101X Institute Elective 1 20 20 20 80 3 -- -- 100
ETL101 Program Lab-I -- -- -- -- -- 25 25 50
ETSBL101 Skill Based Lab-I -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650



Subject Code
ETPE101X
Program Elective 1
ETPE1011 Next Generation Networks
ETPE1012 Advanced Antenna Design
ETPE1013 Statistical Signal Processing



Subject Code
ETPE102X
Program Elective 2
ETPE 1021 Image Analysis using Machine learning
ETPE 1022 Embedded Communication Systems Design
ETPE 1023 Optimization Methods in Signal Processing for Communication Systems

Page 6

Subject code
ETIE101X
Institute Elective 1
ETIE1011 Product Life cycle Management
ETIE1012 Reliability Engineering
ETIE1013 Management Information System
ETIE1014 Design of Experiments
ETIE1015 Operation Research
ETIE1016 Cyber Security and Laws
ETIE1017 Disaster Management & Mitigation Measures
ETIE1018 Energy Audit and Management

Page 7

Semester II


Course
Code Course Name Teaching Scheme(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ETC201 RF Engineering 3 -- -- 3 -- -- 3
ETC202 Modern Digital
Communication 3 -- 3 -- 3
ETPE201X Program Elective 3 3 -- -- 3 -- -- 3
ETPE202X Program Elective 4 3 -- -- 3 -- -- 3
ETIE201X Institute Elective 2 3 -- -- 3 -- -- 3
ETL201 Program Lab-II -- 2 -- -- 1 -- 1
ETSBL201 Skill Based Lab-II -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18

Course
Code

Course Name Examination Scheme
Theory
Term
Work Pract
/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ETC201 RF Engineering 20 20 20 80 3 -- -- 100
ETC202 Modern Digital
Communication 20 20 20 80 3 -- -- 100
ETPE201X Program Elective 3 20 20 20 80 3 -- -- 100
ETPE202X Program Elective 4 20 20 20 80 3 -- -- 100
ETIE201X Institute Elective 2 20 20 20 80 3 -- -- 100
ETL201 Program Lab-II -- -- -- -- -- 25 25 50
ETSBL201 Skill Based Lab -II -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650

Note 1: Skill Based Lab- I and II are focused on the learning through experience. SBL shall facilitate the learner
to acquire the fundamentals of practical engineering in his or her specialization in a project -oriented
environment. The learning through skill based labs can be useful in facilitating their research work and
hence useful in early completion of their dissertation work

Subject Code Program Elective 3
ETPE201X
ETPE2011 Satellite Networking
ETPE2012 Network and Cyber Security
ETPE2013 Remote Sensing



Subject Code Program Elective 4
ETPE202X
ETPE2021 Error Control Coding
ETPE2022 Wireless Adhoc and Sensor Networks
ETPE2023 Cognitive Radio

Page 8

Subject Code
ETIE201X Institute Level Optional Course 2
ETIE2011 Project Management
ETIE2012 Finance Management
ETIE2013 Entrepreneurship Development and Management
ETIE2014 Human Resource Management
ETIE2015 Professional Ethics and CSR
ETIE2016 Research Methodology
ETIE2017 IPR and Patenting
ETIE2018 Digital Business Management
ETIE2019 Environmental Management

Page 9

Page | 3 Semester III


Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ETMP301 Major Project:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 00 00 10 -- 10


Course
Code

Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ETMP301 Major Project:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100


Online Credit Courses


Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ETOCC301 Online Credit Course - I -- -- -- -- -- -- 3
ETOCC301 Online Credit Course - II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06

Note 2: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or
similar platform approved by UoM. These two courses shall be completed in any semester I or II or III, but
not later end of the Semester III. University shall make a provision that credits earned with OCC - I and
OCC -II shall be accounted in the third semester grade -sheet with actual names of courses. The learner shall
be allowed to take up these courses from his or her institute or organisation/ industry where his / her major
project is carried out. The students shall complete the courses and shall qualify the exam conducted by the
respective authorities/ instructor from the platform. The fees for any such courses and the corresponding
examination shall be borne by the learner.

Online Credit Course – I
The learner shall opt for the course in the domain of Resea rch Methodology or Research & Publication
Ethics or IPR. The opted course shall be of 3 credits of equivalent number of weeks.

Online Credit Course –II
The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor from the institute.
The opted course shall be of 3 credits of equivalent number of weeks.

Page 10

Page | 4 Semester IV


Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ETMP401 Major Project :
Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16

Course
Code

Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ETMP401 Major Project :
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits: 68

Note 3: The Dissertation -II submission shall not be permitted till the learner completes all the requirements ME
course.

Note 4: The contact hours for the calculation of load of the teacher for Major Project are as follows: Major
Project Dissertation I and II - 02 Hour / week / student

Guidelines for Dissertation -I
Students should do literature survey and identify the probl em for Dissertation and finalize in consultation with
Guide/Supervisor. Students should use multiple literatures and understand the problem. Students should attempt
solution to the problem by analytical/simulation/experimental methods. The solution to be v alidated with proper
justification and compile the report in standard format. Guidelines for Assessment of Dissertation -I.

Dissertation -I should be assessed based on following points
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization
 Clarity of objective and scope Dissertation -I should be assessed through a presentation by a panel of Internal
examiners and external examiner appointed by the Head of the Department/Institute of respective Programme.
Guidelines for Assessment of Dissertation II
Dissertation II should be assessed based on following points:
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization or current Research / Industrial trends
 Clarity of objective and scope
 Quality of work attempted or learner contribution

Page 11

Page | 5  Validation of results
 Quality of Written and Oral Presentation

Students should publish at least one paper based on the work in referred National/ International conference/Journal
of repute.
Dissertation II should be assessed by internal and External Examiners appointed by the University of Mumbai.

Page 12

Page | 6 Subject Code Subject Name Credits
ETC101 Advanced Digital Signal Processing and
Applications 03

Course Pre-requisite:
 Signals & Systems
 Discrete Time Signal Processing

Course Objectives:
 To develop in-depth understanding of techniques of power spectrum estimation.
 To provide adequate knowledge on adaptive filtering, wavelet transforms and theirs applications.
 To provide knowledge about applications of signal processing to real world problems

Course Outcome:

Learners will be able to:
 Illustrate the techniques of power spectrum estimation and adaptive filtering for various applications.
 Explain and implement wavelet transforms and their applications.
 Apply Signal processing tools to biomedical signal processing and musical sound processing.

Mod
ule Detailed Content Hours
1 Power Spectrum Estimation
 Non- Parametric methods of Power Spectral Estimation: Estimation of
spectra from finite duration observation of signals, Non-parametric
Methods for Periodogram estimation: Bartlett, Welch and Blackman and
Tukey methods.
 Parametric Methods of Power Spectrum Estimation: AR, MA & ARMA
models for power spectrum estimation. Yule -Walker method for the AR
model parameter 08
2 Introduction to Adaptive systems
 Introduction, Characteristics, Examples of Adaptive systems,
Applications. The adaptive system -linear combiner - Description,
Weight vectors, desired response performance function - Gradient and
mean square error. 06
3 Adaptive Signal Processing and Applications
 FIR Adaptive filters - Adaptive Direct Form FIR Filters based on
steepest descent method -Widrow Hoff LMS Adaptive algorithm.
Adaptive Direct Form FIR Filters -RLS Algorithms.
 Applications: System Identification, Adaptive channel equalization -
Adaptive echo canceller. 06
4 Wavelet Theory
 Fourier Transform and its Limitations – Short Time Fourier Transform –
Introduction to time frequency analysis - Continuous Wavelet Transform 07

Page 13

Page | 7 – Discrete Time Wavelet Transform - Multi -resolution analysis – Haar
Wavelet Transforms – Daubechies Wavelet, Filter bank theory.
 Application of wavelet theory to signal denoising, speckle removal, and
signal and image compression.
5 Application of Digital Signal Processing to Biomedical Signal Processing
 Introduction to various Bio -electric signals: ECG, EEG, EOG, and their
pre-processing, Artifacts and interferences in ECG and their removal,
Detection of fetal heartbeats during labor - Fetal ECG, QRS template,
QRS detection methods, perfo rmance measure for QRS detection.
 Adaptive removal of ocular artifacts from human EEGs - Methods for removal
and control of ocular artefacts, online Ocular Artifacts Removal (OAR)
algorithm and system, 8
6 Application of Digital Signal Processing in Musical Sound Processing
 Musical sound processing - Time domain operations - single echo filter,
multiple echo filter, Reverberation, Flanging, Chorus generator, Frequency
domain operations -Analog filters, First order digital filters and Equalizers,
Second order digital filters and Equalizers. 04
Total 39


Textbooks and References:

Textbooks:

1. John G. Proakis and Dimitris G. Manolakis, ―Digital Signal Proc essing‖, PHI, 2005.
2. Bernard Widrow and Samuel D.Strearns, ―Adapt ive Signal Pro cessing‖, Pearson Edu Asia 2002.
3. S. M. Kay, Modern Spectrum Estimation Theory and Application ‖, PHI.
4. K. P. Soman, K.I. Ramchandran and N. G. Reshmi, ―Insight into Wavelets: From theory to
practice , Third Edition PHI, 2010.
5. Raghuveer. M. Rao and Ajit S.Bopardikar, ―Wavelet Transforms -Introdu ction to theory and
applications , Pearson Education, Asia, 2000.
6. Rangaraj M. Rangayyan, ―Biom edical Signal Analysi s- A Case Study Approach‖, Wiley 2002.
7. Willis J. Tompkins, Biomedical Digital Signal Processing , PHI, 1999
8. Sen M Kuo, Bob H Lee and W Tian, ―Real Time Signal processing: Funda mentals,
Implementations and Applications ‖ Springer, Wiley Publishers, Third Edition 2013.
9. S. K. Mitra, ―Digital Signal Proc essing‖, TMH, 2001
10. Emm anuel C. Ifeachor, Barrie W. Jervis, ―Digital Signal Processing, A Practical Approa ch‖,
Pearson Education, 2008.


Reference Books:
1. Simon Haykin, ―Adapti ve Filter Theory‖, Pearson Edu, 2013
2. D. C. Reddy, Biomedical Signal Processing Principles and Techniques , Tata Mc Graw -Hill, 2005
3. A. H. Sayed, ―Adapti ve filters‖, Wiley Student Edition, 2010

Page 14

Page | 8 4. S. Thomas Alexander, Adaptive signal processing -Theory and Applications , Springer –Verlag.
5. I. Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics,
Philadelphia, PA, 1992.
6. Mark Kahrs, Karlheinz Brandenburg, ―Appli cations of Digital Signal Processing to Audio and
Acoustics ‖, Kluwer Academic Publishers, 2002
7. Mallat, Stéphane. ―A wa velet tour of signal processing.‖ Academic press, Third Ed. 2008.
8. Torrence, Christopher, and Gilbert P. Compo, "A practical guide to wavelet analysis ." Bulletin of
the American Meteorological society Jan. 1998
9. Burrus, C. Sidney, Ramesh A. Gopinath, and Haitao Guo. "Introduction to wavelets and wavelet
transforms ." Prentice Hall Inc. 1997
10. Paul S. Addison , ―The illustrated wavelet transform handboo k: introdu ctory theory and
applications in science, engineering, medicine and finance .‖ CRC press, 2002

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these, question number 1 will be compulsory and it will carry questions covering each
module. From remaining questions any three questions to be attempted by students. Minimum
80% syllabus should be covered in question papers of end semester examination.

Page 15

Page | 9 Subject Code Subject Name Credits
ETC102 Optical Communication Network 03


Course Pre-requisite:
 Wave theory and Propagation
 Analog Communication
 Digital Communication

Course Objectives:
To teach students:
 The issues related to signal degradation due to Linear Impairments
 System impairments due to nonlinear effect in fiber.
 System optimization by controlling dispersion and Nonlinear Effects.
 High data rate WDM optical Transport Networks.

Course Outcome:
The course enables the students to:
 Apply the fundamental principles of optics and light wave to design optical fiber
communication systems.
 Identify the issues related to signal degradation due to multiplexing.
 Identify working principle of various components of all optical network.
 Explore concepts of designing and operating principles of modern optical
communication systems and networks.


Module Detailed Content Hours
1 A Review of Optical Fibers
 Introduction
 Signal Degradation
 Fiber dispersion
 Multimode fiber
 Single mode fiber
 Dispersion Management
 Dispersion compensating Fibers 06
2 Non Linear Optics
 General Overview of Nonlinearities
 Effective area and length
 Stimulated Raman Scattering
 Stimulated Brillouin Scattering
 Self Phase modulation 8

Page 16

Page | 10  Cross –Phase modulation
 Four wave mixing and its mitigation
 Applications of Nonlinear Effects
 Solitons properties of Solitons, Properties of Solitons, Loss
managed Soliton ,Dispersion managed Soliton, Optical
Switching, Parametric amplification
3 Optical Network Components
 Sources: Quantum well lasers, Charge capture in Quantum well
lasers, Multi Quantum well Laser diodes, Surface Emitting
Lasers: Vertical cavity Surface Emitting Lasers
 Detectors: Resonant cavity enhancement (RCE) Photo Detector,
Material requirement for RCEPD, Wavelength selectivity,
High speed comparison of conventional and RCEPD, RCE
Schottky Photodiode, RCE Avalanche Photodiode
 Optical Amplifiers: Optical Pumping, Erbium Doped Amplifier,
Semiconductor Laser Amplifier, Raman Amplifier,
 Integrated Optics: Directional couplers and Photonic Switch,
Optical Modulators
 WDM network components: WADM, Optical Crossconnects 8
4 Introduction to Optical Network
 Overview of generations of optical Networks
 SONET& SDH: Multiplexing hierarchy, Multiplexing structure
– Functional components, Problem detection, Virtual tributaries
& containers
 Optical Transport Network: Hierarchy, Frame structure,
Multiplexing 05
5 WDM Network Design
 Cost Trade -offs: A detailed Ring Network example
 LTD and RWA Problems
 Routing and Wavelength assignment
 Dimensioning wavelength networks
 Statistical wavelength routing networks - First passage model,
Blocking model
 Maximum load dimensioning models - offline lightpath request,
online RWA in Rings 06
6 Deployment Consideration
 Architectural choices for next generation transport Network
 Designing the transmission Layer using SDM,TDM and WDM
 Unidirectional versus bidirectional WDM Systems - Long haul
networks case study, Long Haul Undersea Networks
 Metro Networks, Metro Ring Case study 06
Total 39

Page 17

Page | 11
Textbooks and References:

1. ―Optical Fiber Com munications‖-Gerd Keiser-Fourth Edition -TATA McGRAW
2. ―Optical Fiber Com munications Principles and Practice‖-John.M.S enior-Pearson
Education HILL
3. ―Fiber Optics Com munication System‖-G.P.Agarwal-Wiley Publications
4. ―Fiber Optics Com munications‖- Harold Kolimb ris-Pearson Education
5. ―Opto -Electroni cs, an introdu ction‖-Wilson and Hawkes,Prentice Hall
6. ―Nonlin ear Fiber Optic s‖ G.P.Agarwal-Academic Press
7. ― Applications of Nonlinear Optics ‖, Academic press -G.P. Agarwal
8. ―Optical N etworks, A Practical Perspective‖, Third edition - Rajiv Ram aswami, Kumar
N. Sivarajan, Elsevier
9. “Optical Networks, Third generation Transport Systems ‖,by Uyless Black, Pearson
10. ―Optical Fiber Com munication System: Theory and Practice with MATLAB and
Simulink ‖ by Le Nguyen Binh, CRC Press, 2010

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on
minimum two modules) and the other is either a class test (on minimum three modules of
the remaining) or assignment on live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these, question number 1 will be compulsory and it will carry questions covering
each module. From remaining questions any three questions to be attempted by students.
Minimum 80% syllabus should be covered in question papers of end semester examination.

Page 18

Page | 12

Subject Code Subject Name Credits
ETPE1011 Next Generation Networks 03

Course Pre-requisite:
 Computer Networks
 Wireless Networks
 Mobile Communication

Course Objectives:
The aim of this course is
 To relate the paradigm shift from circuit switched network to packet switched
network.
 To apply the advancement in networks field.
 To examine new technologies in telecommunication.
 To appraise the NGN Standards
Course Outcome:
Learners will be able to:
 Relate and compare the core differences between traditional and new
telecommunication technologies.
 Analyze, implement and apply the components of NGN architecture with NGN
standards.

Module Detailed Content Hours
1 Next Generation Technologies, Networks and Services
 Introduction,
 Next Generation (NG) Technologies,
 Wire line NG Technologies,
 FTTP, Long -Haul Managed Ethernet. 06
2 Wireless NG Technologies
 Long Term Evolution (LTE),
 Enhanced HSPA Evolution Data Optimized (EVDO), Ultra
Mobile Broadband (UMB),
 SDR and cognitive radio
 IoT, VOIP, IPTV, Quality of Services, Quality of Experiences
in NGN. 7
3 Next Generation Multiservice Technology Overview
 MPLS &QoS, MPLS services and components, overview of
VPN, layer2 VPN, layer 3 VPN 06

Page 19

Page | 13 4 ITU NGN Standards and Architectures
 Main drivers to Next Generation Networks – NGN , ITU NGN
standards
 All-IP network concept for NGN ,
 NGN control architectures and protocols(TISPAN),Numbering,
naming and addressing for all NGN 06
5 Control and Signalling Protocols for NGN (SIP, Diameter)
 NGN security(AAA, identity management) ,
 Service convergence
 Fixed -Mobile Convergence (FMC) in NGN,
 IP Multimedia Subsystem (IMS) for NGN 07
6 Transition to NGN and Future Evolution
 Migration of PSTN networks to NGN ,
 Transition of IP networks to NGN,
 IPv6, NGN Evolution. 07
Total 39



Textbooks and References:
Textbooks:
1. Wireless communication and Networking -Vijay Garg, ELSEVIER Inc.
2. Next Generation Telecommunications Network, Parliament office of Science and
Technology (Postnote). Dec 2007, No. 296 Ref. www.parliament.uk .
Reference Books

1. ITU Manual
2. Next Generation Telecommunications Networks, Services, and Management by
Thomas Plevyak, VeliSahin, ISBN: 978 -0-470-57528 -4 , Wiley -IEEE Press
3. Next Generation Wireless Systems and Networks: Hsiao – Hwa Chen, Mohsen Guizani
– Wiley
4. IP-Based Next-Generation Wireless Networks: Systems, Architectures, and Protocols -
Jyh- Cheng Chenand Tao Zhang - Wiley


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

Page 20

Page | 14 End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these, question
numb er 1 will be compulsory and it will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end semester
examination.

Page 21

Page | 15

Subje ct Code Subject Name Credits
ETPE1012 Advanced Antenna Design 03

Course Pre-requisite:
 Wave Theory and Propagation
 RF and Antenna

Course Objectives:
The aim of this course is
 To provide state-of-art knowledge in microstrip antennas,
 To explain various methodologies presently prevalent for design of microstrip
antennas
 To enable students to make design decisions in microstrip antennas

Course Outcome:
Learners will be able to:
 Design and analyze microstrip antennas,
 Correlate the fundamental design of antenna to advanced communication applications




Module Detailed Content Hours
1 Review of Antennas
 Antenna parameters
 Infinitesimal dipole antenna
 Half wave dipole antenna 03
2 Microstrip Antennas
 Introduction, Rectangular patch and Circular patch design
 Quality factor, Bandwidth, Efficiency, Input impedance, and
Coupling
 Analytical models for MSAs transmission line models, cavity
model, Multimode network model. 6

Page 22

Page | 16 3 Circular Polarization Technique
 Dual -Feed circularly polarized MSAs, Square MSA with two
feeds, Effect of amplitude and phase imbalance, Square MSA
with four feeds, CMSA with multiple feeds
 Single -feed circularly polarized MSA, Diagonally fed nearly
square MSA, Square MSA with modified edges, Square MSA
with modified corners, Square MSA with a diagonal slot.
 Broadband circularly polarized MSA, Dual -feed planar
multiresonator MSA, Stacked MSA for circular polarization,
Aperture coupled circularly polarized MSA, Sequentially
rotated MSA. 7
4 Planar Monopole Antennas 7
 Introduction, Planar Rectangular and Square Monopole
Antennas, RMSA Suspended in Air with Orthogonal Ground
Plane, Calculation of the Lower Frequency of the Planar
Monopole Antennas.
 Effect of Various Parameters of Planar Rectangular Monopole
(RM) Antenna s, Radiation Pattern of RM Antennas
 Various Planar RMs with Equal Areas, Planar Circular
Monopole Antennas.
5 Broadband and Compact Microstrip Antennas
 Mechanism of Parasitic Coupling for Broad BW, Gap -Coupled
RMSAs, Radiating -Edge Gap-Coupled RMSAs, Multilayer
Broadband MSA, Design Examples.
 Compact Shorted RMSAs, Partially Shorted RMSAs, Effect of
Dimensions of RMSAs with a Single Shorting Post, Effect of
the Position of the Single Shorting Post 08
6 Next generation Antennas
 Introduction to smart antennas, smart Antenna configurations -
switched beam antennas and adaptive antenna approach, Smart
Antennas‘ Benefits and draw backs, Antenna Beam forming,
Architecture of Smart antenna system.
 Metamaterial Antennas: Introduction, Negative Refractive
Index (NRI) Metamaterials, Metamaterial Antennas Based on
NRI concepts.
 Applications of Smart Antennas: Smart antennas for Code
Division Multiple Access Systems, Smart antennas for
automatic radio frequency identification readers, Mutual
coupling reduction techniques in MIMO. 08
Total 39


Textbooks and References:

Page 23

Page | 17 1. Antenna Theory - C. A. Balanis - Wiley and sons
2. Antennas – John. D. Krauss - TMH ed.
3. Microstrip Antenna Design Handbook - Ramesh Garg - Artech House.
4. Handbook of Microstrip Antennas - James R. James, Peter S. Hall-IEE
Electromagnetic wave series.
5. Broadband Microstrip antennas – Girish Kumar and K.P. Ray, Artech House
6. Smart Antennas for Wireless Communications with MATLAB : Frank Gross, McGRAW
Hill.
7. Handbook on Advancements in Smart Antenna Technologies for Wireless Networks -
Chen Sun, Jun Cheng and Takashi Ohira, Information science reference, New York.


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

Page 24

Page | 18




















Subject Code Subject Name Credits
ETPE1013 Statistical Signal Processing 03

Course Pre-requisite:
 Matrix theory
 Fundamentals of probability
 Signals and systems

Course Objectives:
The aim of this course is to provide knowledge of statistical techniques necessary to explain and explore the
important applications in signal processing and telecommunication.

Course Outcome:
Learner will be able to:
 Understand basics of linear algebra in communication engineering.
 Apply appropriate statistical tools for handling design and analysis of systems that involve randomness.
 Analyze random processes for LTI systems and estimation theory.
 Evaluate role of probability models in engineering design.


Module Detailed Content Hours

Page 25

Page | 19 1 Linear Algebra
 Signal spaces, metric spaces, vector spaces, norms and normed vector
spaces, inner -product spaces, orthogonality, orthogonal subspaces,
linear transformations: range and null space, orthogonalization of
vectors, representation and approximation in vector spaces, matrix
representation of least squares, geometry of linear equations, four
fundamental subspaces of linear operator, properties of matrix
inverses, results on matrix rank, pseudo inverses, matr ix condition
number, singular value decomposition(SVD), pseudoinverse and the
SVD. 8
2 Review of Random Variables and Processes
 Random variables, distribution and density function, functions of
random variables, sums of independent random variables, central limit
theorem, discrete time stochastic process, stationarity, random signal
variability, time averages, ergodicity, autocorrelation function of a real
WSS process and its properties, cross -correlation function, frequency
domain description of stat ionary process, general correlation matrices,
correlation matrices from random process, correlation matrices of
stationary process. 07
3 Analysis and processing of random signals
 Linear time invariant system with WSS process as an input
stationarity of the output, auto -correlation and power -spectral density of
the output; examples with white -noise as input; linear shift -invariant
discrete -time system with WSS sequence as input, examples of random
processes: white noise process and white noise sequence; Gaussian
process. 04
4 Whitening and Innovations Representation
 Transformations using eigen -decomposition, transformations using
triangular decomposition, generation of real valued random vectors
with given second -order moments, discrete Karhunen -Loève
transform and its application, optimal reduced -basis representation,
periodic random sequences. 07
5 Principles of Estimation Theory
 Estimation in signal processing, the mathematical estimation problem,
assessing estimator performance, unbiased and consistent estimators,
confidence interval, efficient estimator, minimum variance unbiased
estimation, existence of minimum variance unbiased estimator,
estimator accuracy considerations, Cramer -Rao lower bound(CRLB)
theorem, computation of CRLB for differ ent examples, general CRLB
for signals in white -Gaussian noise, vector parameter CRLB. 7

Page 26

Page | 20 6 The Kalman Filter
 The state space signal model, Kalman filter I: The Bayes approach,
Kalman filter II: innovations approach, Estimation using the
innovations process, innovations for processes with state space models.
Discrete -time Kalman filter. 06
Total 39



Textbooks and References:

1. Todd K. Moon and Wynn C. Stirlin g, ―Mathematical Methods and Algorithms for
Signal Processing ‖, Pearson Education, Inc., 2000.
2. Dimi tris. G. Manolakis, Vinay Ingale, and Stephen M. Kogon, ―Statistical and
Adaptive Signal Processing ‖, Artech House, Inc., 2005.
3. Peyton Z. Peebles, ―Probabilit y, Random Variables and Random Signal Principles ‖,
Mc-Graw Hill, 2000.
4. Steven M. Kay, ―Fund amentals of Statistical Signal Processing: Estim ation Theory
Vol 1, Prentice Hall, Englewood Cliffs, NJ, 2010.
5. Alberto Leon-Garcia, ―Probability and Rando m Processes for Electrical
Engineering ‖, Pearson Education, 2007.



Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these,
question number 1 will be compulsory and it will carry questions covering each module. Fr om remaining questions
any three questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of
end semester examination.

Page 27

Page | 21
















Subject Code Subject Name Credits
ETPE1021 Image Analysis using Machine learning 03


Course Pre-requisite:
 Image and Video processing

Course Objectives:
The aim of this course is
 To provide exposure to students in gaining knowledge on concepts and understanding
of Image Analysis.
 To give necessary knowledge of digital image analysis for further research within the
area and to be able to use digital image analysis within other research areas such as
computer graphics, image coding, video coding and industrial image processing
problems.
 To prepare the student for further studies in e.g. computer vision, multispectral image
analysis and statistical image analysis.

Course Outcome:
Learners will be able to:
 Demonstrate good capability to independently identify problems which can be solved
with methods from image analysis, and be able to choose an appropriate method.
 Independently apply basic methods in image processing to problems which are
relevant in industrial applications or research.
 Explain the solution to a problem in image analysis in a well structured manner and
with clear logic.

Page 28

Page | 22 Module Detailed Content Hours
1 Introduction to Image Processing
 Basic mathematical concepts: Image transforms, Discrete
Fourier Transform, Fast Fourier Transform.
 Image enhancement: Grey level transforms, filtering. Extraction
of special features: Filtering, edge and corner detection. Image
Segmentation and mathematical morphology. 05
2 Image Representation
 Boundary Representation: Chain Code, Polygonal
Approximations, Signatures, Bending Energy, Statistical
Moments, Region Representation
 Boundary Descriptions: Simple Descriptor, Shape Number,
Fourier Descriptor, Run-length Code, Projection, Concavity
Tree. 06
 Component Labelling: Component counting, Recursive
Algorithm, Sequential Algorithm.
3 Feature Extraction
 Histogram (or Brightness ) Features, Shape Features, Spatial
Moment, Central Moment, Topological Features, Geometrical
Features, Transform Features, Texture Features, Syntactic and
Structural Features 07
4 Evaluating Hypotheses
 Estimating Hypothesis Accuracy, Basics of Sampling Theory,
Deriving confidence intervals, difference in error of two
hypotheses, Comparing Learning Algorithms. 06
5 Learning Algorithms
 Decision Tree Learning : Building Single and Multiple
Decision Trees Selecting the Decision Tree to be Built,
Obtaining Prules from Decision Trees, Missing Attribute
Values, Classifying with Relabelled Nodes, Error Rates on
Recall Sets, Pruning Decision Trees, Issues in decision tree
learning.
 Bayes Learning : Bayes Theorem and concept learning,
Bayesian Belief Networks, Naive Bayes with Binary
Attributes, Performance of Bayes Classifier
 Instance Based Leaning : K ‐nearest neighbour learning, case
based learning, radial basis functions
 Deep Learning Algorithm : Deep Networks, Deep Belief
Networks, Convolutional Networks, 07

Page 29

Page | 23 6 Image Classification
Image Classification using
 Neural network: Issues in neural network learning, perceptrons,
multilayer network & Back propagation Algorithm.
 Fuzzy Systems: Fuzzy logic, Fuzzification, Fuzzy inference,
fuzzy rule based system, defuzzification
 Support Vector Machine : Linear Classifiers, Classifier
Margin, Solving the Optimization Problem, Hard Margin and
Soft Margin, Linear and Non Linear SVMs, Kernel functions,
 Genetic Algorithms : Genetic operators, genetic programming,
models of evolution & learning, parallelizing genetic algorithm 8
Total 39









Textbooks and References:
Textbooks:
1. Mitchell, Tom. Machine Learning . New York, NY: McGraw -Hill, 1997. ISBN:
9780070428072.
2. Haykin, Simon S. Neural Networks and Learning Machines, 3rd edition Pearson 2008.
3. Sonka, Milan. Hlavac Vaclav. Boyle Roger. Image Processing, Analysis and Machine Vision , New
Delhi: Thomson Learning, 2001. ISBN: 9812400613.
4. Rajasekaran S, Vijaylakshmi Pai G.A. Neural Networks, Fuzzy Logic and Genetic Algorithms
Synthesis and Application. New Delhi, Prentice Hall of India.
5. Valluru, Sudarshan K. Rao Nageswara T., Introduction to Neural Networks, Fuzzy Logic &
Genetic algorithms, Jaico Publishing House 2010.

Reference Books:

1. Bishop, Christopher. Pattern recognition and machine learning , Springer Verlag, 2006.
2. Shinghal Rajjan, Pattern Recognition Techniques and Applications. New Delhi Oxford
University Press, 2011. ISBN 9780195676853.
3. Richards John, Jia Xiuping, Remote Sensing Digital Image Analysis , Springer 2006. ISBN :
9783540251286

Page 30

Page | 24 Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the ot her is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these, question
number 1 will be compulsory and it will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end semester
examination.





































Subject Code Subject Name Credits

Page 31

Page | 25 ETDLO1014 Embedded Communication System Design 04

Course Pre-requisite:
 Microcontrollers and Programming language

Course Objectives:
The aim of this course is
 To impart the concepts and architecture of embedded systems and to make the
students capable of designing embedded systems product.
 To achieve this, system design, architecture and programming of industry popular
ARM Cortex is covered in detail.

Course Outcome:
Learners will be able to:
 Understand the embedded concepts and architecture of embedded systems
 Understand the architecture and programming of ARM Cortex microcontroller
 Understand the open source RTOS and their usage
 Able to design an embedded systems application
 Able to usage of the development and debugging tools

Module Detailed Content Hours
1 Overview of Product Design
 Need, design challenges, product survey, specifications of
product need of hardware and software, partitioning of the
design into its software and hardware components, iteration
and
refinement of the partitioning. 06
2 Software and Hardware
 Tradeoffs, custom single -purpose processors, general -purpose
processors, memory, interfacing, design technology -hardware
design, cost reduction, re-engineering, optimization,
maintenance, validation and development, prototyping,
turnkey product design. 06
3 Embedded Systems and ARM Architecture
 Embedded concepts, architecture of embedded systems, ARM
architecture, Cortex -M3 basics, exceptions, instruction sets,
NVIC, interrupt behavior, Cortex -M3/M4 programming,
memory protection unit and other Cortex -M3 features,
STM32xxx ARM Cortex M3/M4 microcontroller memory
and
peripherals, development & debugging tools. 8
4 Communication and Security
 Embedded systems security and secured hardware
structures. Communications security in embedded systems. 04

Page 32

Page | 26 Embedded
systems time constraints


5 Multi core Architecture
 Multi -Core architecture for embedded systems, Programming
models for Multi -Core, Embedded Multi -Core processing for
networking. 04
6 Open Source RTOS
 Basics of RTOS: Real -time concepts, Hard Real time and Soft
Real-time, differences between general purpose OS & RTOS,
basic architecture of an RTOS, scheduling systems, inter-process
communication, performance Matric in scheduling models,
interrupt management in RTOS environment, memory
management, file systems, I/O systems, advantage and
disadvantage of RTOS. POSIX standards, RTOS issues –selecting
a Real Time Operating System, RTOS comparative study.
 Interfacing Modules: Sensor and actuator interface, data transfer
and control, GPS, GSM, Bluetooth, 11
Total 39
Textbooks and References:

1. The Definitive Guide to the ARM Cortex -M3, Joseph Yiu, Second Edition, Elsevier Inc. 2010.
2. Andrew N Sloss, Dominic Symes, Chris Wright, “ARM System Developer's Guide -Designing and
Optimizing System Software”, 2006, Elsevier .
3. Communicating Embedded Systems: Networks Applications, Francine Krief (Editor) February
2010, Wiley -ISTE
4. Frank Vahid and Tony Givargis , “Embedded System Design: A Unified
Hardware/Software Introduction”, John Wiley publication
5. P Marwedel , “Embedded System Design”, Springer publication
6. Christopher Hallinan , “Embedded Linux Primer: A Practical Real-World Approach
Second Edition, Pearson Education Publication





Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two modules) and the
other is either a class test (on minimum three modules of the remaining) or assignment on live problems or course project.

Page 33

Page | 27 End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these, question
number 1 will be compulsory and it will carry questions covering each module. From remaining questions any three
questions to be attempted










































bject Code Subject Name Credits
ETPE1023 Optimization Methods in Signal
Processing for Communication 03

Page 34

Page | 28 Systems


Course Pre-requisite:
 Linear Algebra

Course Objectives:
The aim of this course is
1. To develop understanding of fundamental linear algebra concepts, geometrical concepts, and basic calculus
which are essential for optimization course.
2. To develop understanding of formulating a typical unconstrained and constrained optimization problem.
3. To develop understanding of types of convex optimization problems such as linear programming, geometric
programming, quadratic programming, second -order cone programming, and semi definite programming.
4. To develop understanding of Lagrange's duality concepts and interior -point methods for convex optimization
problems.


Course Outcomes:
Learners will be able to:
1. Apply the concepts of linear algebra for modeling research problems in the field of communications and signal
processing.
2. Identify the appropriate convex optimization problem for modeling typical research problems in the field of
communications and signal processing.
3. Develop algorithms for modern wireless communications and networking, e.g., optimal resource allocation, energy
efficiency maximization, sum-rate maximization, optimal beam forming, etc.
4. Model and analyze the research problems for 5G and beyond wireless networks, e.g., massive MIMO networks,
mm Wave networks, energy harvesting networks, UAV networks, etc.
5. Apply the optimization theory for typical signal processing applications, e.g., blind source separation for biomedica
and hyper spectral image analysis, filter design, etc.












Module
No.
Topics Hr
s.
1.0 Fundamentals of Geometry and Calculus 08

Page 35

Page | 29 Geometrical Concepts: Lines and line segments, Affine sets and affine hull,
Convex sets and convex hull, Cone and conic hull, Hyper planes and half
spaces, Neighborhood (Euclidean ball) and ellipsoid, Interior point,
Boundary point, Open and closed sets, Boundary set, Compact set,
Polyhedra, Separating and supporting hyper planes, Basics of Calculus:
Sequences and limits, Affine functions, Differentiability, Derivative matrix,
Hessian, Level sets and gradients, Graph, Taylor's series, Mean value
theorem .
2.0 Introduction to Optimization 08
1) Basics of an optimization problem, Conditions for local minimizers: First
order necessary condition (FONC), Second order necessary condition
(SONC), Second order sufficient condition (SOSC).

2) Unconstrained Optimization Algorithms: One dimensional search
algorithms: Exhaustive search, Golden section method, Fibonacci method,
Bisection method, Newton's me thod, Secant method, Bracketing, Gradient
methods: Gradient descent algorithm, Steepest descent method, Newton's
method (revisited): Levenberg -Marquardt modification, Conjugate direction
and gradient algorithms.
3.0 Convex Optimization -I 4
Convex and quasi -convex functions, Convexity preserving operations, Basic
structure of convex optimization problems, Equivalent representations and
transforms, Convex problems with inequality constraints.
4.0 CONVEX OPTIMIZATION -II 07
Linear Programming: Standard form of linear program (LP), Transformation
to standard form using surplus and slack variables, Geometry of LP, Basic
solutions, Fundamental theorem of LP, Graphical solution, Simplex method:
Canonical augmented matrix, Updating procedure for augm ented matrix,
Simplex algorithm, Matrix form of Simplex method, Two -phase Simplex
method, Dual LP, Non-simplex methods, Integer linear programming.
5.0 Convex Optimization -III 05
1) Second -order cone programming (SOCP), Semidefinite Programming
(SDP): QCQP and SOCP as SDP via Schur complement, S -procedure.

2) Duality: Lagrange dual function and conjugate function, Lagrange dual
problems, Strong duality: Slater's condition, S -Lemma, Karush -Kuhn -
Tucker (KKT) optimality conditions.
6.0 Optimization Techniques








04 07

Page 36

Page | 30












39




ESSENTIAL READING


1. C. -Y. Chi, W. -C. Li, and C. -H. Lin, Convex Optimization for Signal Processing and Communications: From
Fundamentals to Applications, CRC Press , 1st Edition, 2017
2. E. K. P. Chong, and S. H. Zak, An Introduction to Optimization, Wiley , 4th Edition, 2013

SUPPLEMENTARY READING


1. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press , 1st Edition, 2004
2. Gilbert Strang, Linear Algebra and its Applications, Cengage Learning , 4th Edition, 2006

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two modules) and the
other is either a class test (on minimum three modules of the remaining) or assignment on live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these, question
number 1 will be compulsory and it will carry questions covering each module. From remaining questions any three
questions to be attempted by




Subject Code Subject Name Credits
ETIE1011 Product Life Cycle management 03

Course Pre-requisite:
 Microcontrollers and Programming language 1) Lagrange dual optimization, Alternating direction method of multipliers
(ADMM), Duality of problems with generalized inequalities, Theorems
of alternatives.

2) Interior -point Methods: Inequality and equality constrained convex
problems, Newton's method and barrier function, Central path, Barrier
method, Primal -dual interior point method.
TOTAL 39

Page 37

Page | 31 Course Objectives:
The aim of this course is
 To familiarize the students with the need, benefits and components of PLM
 To acquaint students with Product Data Management & PLM strategies 
 To give insights into new product development program and guidelines for designing
and developing a product
 To familiarize the students with Virtual Product Development 

Course Outcome:
Learners will be able to:
 Gain knowledge about phases of PLM, PLM strategies and methodology for PLM
feasibility study and PDM implementation. 
 Illustrate various approaches and techniques for designing and developing products.
 Apply product engineering guidelines / thumb rules in designing products for
moulding, machining, sheet metal working etc.
 Acquire knowledge in applying virtual product development tools for components,
machining and manufacturing plant

Module Detailed Content Hours
1 Introduction to Product Lifecycle Management (PLM)
 Product Lifecycle Management (PLM), Need for PLM, Product
Lifecycle Phases, Opportunities of Globalization, Pre-PLM
Environment, PLM Paradigm, Importance & Benefits of PLM,
Widespread Impact of PLM, Focus and Application, A PLM Project,
Starting the PLM Initiative, PLM Applications 
PLM Strategies
 Industrial strategies, Strategy elements, its identification, selection
and implementation, Developing PLM Vision and PLM Strategy ,
Change management for PLM.10
2 Product Design
 Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product Design, Typologies
of Design Process Models, Reference Model, Product Design in
the Context of the Product Development Process, Relation with
the Development Process Planning Phase, Relation with the
Post design Planning Phase, Methodological Evolution in
Product Design, Concurrent Engineering, Characteristic 09

Page 38

Page | 32 Features of Concurrent Engineering, Concurrent Engineering
and Life Cycle Approach, New Product Development (NPD)
and Strategies, Product Configuration and Variant Management,
The Design for X System, Objective Properties and Design for
X Tools, Choice of Design for X Tools and Their Use in the
Design Process
3 Product Data Management
 Product and Product Data, PDM systems and importance,
Components of PDM, Reason for implementing a PDM system,
financial justification of PDM, barriers to PDM implementation 05
4 Virtual Product Development Tools
 For components, machines, and manufacturing plants, 3D CAD
systems and realistic rendering techniques, Digital mock -up, Model
building, Model analysis, Modeling and simulations in Product
Design, Examples/Case studies 05
5 Integration of Environmental Aspects in Product Design
 Sustainable Development, Design for Environment, Need for
Life Cycle Environmental Strategies, Useful Life Extension
Strategies, End-of-Life Strategies, Introduction of
Environmental Strategies into the Design Process, Life Cycle
Environmental Strategies and Considerations for Product
Design 05
6 Life Cycle Assessment and Life Cycle Cost Analysis
 Properties, and Framework of Life Cycle Assessment, Phases of LCA
in ISO Standards, Fields of Application and Limitations of Life Cycle
Assessment, Cost Analysis and the Life Cycle Approach, General
Framework for LCCA, Evolution of Models for Product Life Cycle
Cost Analysis 05

Textbooks and References:

1. John Stark, ―Produ ct Lifecycle Manag ement: Paradi gm for 21st Century Produ ct
Realisation ‖, Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudic e, Guido La Rosa, Antonino Risitano, ―Produ ct Design for the
environment -A life cycle approach ‖, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, Immonen Anselmie, ―Produ ct Life Cycle Manag ement‖, Springer,
Dreamtech, ISBN: 3540257314
4. Michael Grieve, ―Produ ct Lifecycle Manag ement: Driving the next generation of lean
thinking ‖, Tata McGraw Hill, 2006, ISBN: 0070636265

Page 39

Page | 33 Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted b y

Page 40

Page | 34
Subject Code Subject Name Credits
ETIE1012 Reliability Engineering 03


Course Objectives:
The aim of this course is
 To familiarize the students with various aspects of probability theory
 To acquaint the students with reliability and its concepts
 To introduce the students to methods of estimating the system reliability of simple
and complex systems
 To understand the various aspects of Maintainability, Availability and FMEA
procedure 
Course Outcome:
Learners will be able to:
 Understand and apply the concept of Probability to engineering problems
 Apply various reliability concepts to calculate different reliability parameters 
 Estimate the system reliability of simple and complex systems
 Carry out a Failure Mode Effect and Criticality Analysis



Module Detailed Content Hours
1 Probability theory
 Probability: Standard definitions and concepts; Conditional
Probability, Baye‘s Theorem.
Probability Distributions
 Central tendency and Dispersion; Binomial, Normal, Poisson,
Weibull, Exponential, relations between them and their
significance.
Measures of Dispersion
 Mean, Median, Mode, Range, Mean Deviation, Standard
Deviation, Variance, Skewness and Kurtosis. 08

Page 41

Page | 35 2 Reliability Concepts
 Reliability definitions, Importance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis
 Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models
 Constant Failure Rate, Linearly increasing, Time Dependent
Failure Rate, Weibull Model. Distribution functions and
reliability analysis. 08

3 System Reliability
 System Configurations: Series, parallel, mixed configuration, k
out of n structure, Complex systems. 05
4 Reliability Improvement
 Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
 System Reliability Analysis – Enumeration method, Cut-set
method, Success Path method, Decomposition method. 08
5 Maintainability and Availability
 System downtime, Design for Maintainability: Maintenance
requirements, Design methods: Fault Isolation and self-
diagnostics, Parts standardization and Interchangeability,
Modularization and Accessibility, Repair Vs Replacement.
 Availability – qualitative aspects. 05
6 Failure Mode, Effects and Criticality Analysis
 Failure mode effects analysis, severity/criticality analysis, FMECA
examples. Fault tree construction, basic symbols, development of
functional reliability block diagram, Fau1t tree analysis and Event
tree Analysis 05

Textbooks and References:

1. L.S. Srinath, ―Reliability Engin eering‖, Affiliated East-Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, ―Reliability and Maintain ability Engin eering‖, Tata McGraw
Hill.
3. B.S. Dhillion , C. Singh, ―Engin eering R eliability ‖, John Wiley & Sons, 1980.
4. P.D.T. Conor, ―Practical Reliability Engg .‖, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, ―Reliability in Engine ering Design‖, John Wiley &
Sons.

Page 42

Page | 36 6. Murray R. Spiegel, ―Probability and Statistics‖, Tata McGraw-Hill Publishing Co.
Ltd.
Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be c ompulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by

Page 43

Page | 37 Subject Code Subject Name Credits
ILO1013 Management Information System 03


Course Objectives:
The aim of this course is
 The course is blend of Management and Technical field. 
 Discuss the roles played by information technology in today‘s business and define
various technology architectures on which information systems are built
 Define and analyze typical functional information systems and identify how they meet
the needs of the firm to deliver efficiency and competitive advantage 
 Identify the basic steps in systems development 
Course Outcome:
Learners will be able to:
 Explain how information systems Transform Business
 Identify the impact information systems have on an organization 
 Describe IT infrastructure and its components and its current trends
 Understand the principal tools and technologies for accessing information from
databases to improve business performance and decision making 
 Identify the types of systems used for enterprise -wide knowledge management and
how they provide value for businesses 

Module Detailed Content Hours
1 Introduction To Information Systems (IS)
 Computer Based Information Systems, Impact of IT on
organizations, Importance of IS to Society. Organizational
Strategy, Competitive Advantages and IS. 04
2 Data and Knowledge Management
 Database Approach, Big Data, Data warehouse and Data
Marts, Knowledge Management.
Business intelligence (BI)
 Managers and Decision Making, BI for Data analysis and
Presenting Results 07
3 Ethical issues and Privacy
 Information Security, Threat to IS, and Security Controls 07
4 Social Computing (SC)
 Web 2.0 and 3.0, SC in business -shopping, Marketing,
Operational and Analytic CRM, E-business and E-commerce
– B2B B2C. Mobile commerce. 07
5 Computer Networks: 06

Page 44

Page | 38  Wired and Wireless technology, Pervasive computing, Cloud
computing model.
6 Information System within Organization
 Transaction Processing Systems, Functional Area Information
System, ERP and ERP support of Business Process.
 Acquiring Information Systems and Applications: Various
System development life cycle models. 08

Textbooks and References:

1. Kelly Rainer, Brad Prince, Management Information Systems , Wiley
2. K.C. Laudon and J.P. Laudon, Management Information Systems: Managing the
Digital Firm , 10th Ed., Prentice Hall, 2007.
3. D. Boddy, A. Boonstra, Managing Information Systems: Strategy and Organization ,
Prentice Hall, 2008

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by

Page 45

Page | 39 Course Code Course Name Credits
ETIE1014 Design of Experiments 03
Objectives:
1. To understand the issues and principles of Design of Experiments (DOE)
2. To list the guidelines for designing experiments
3. To become familiar with methodologies that can be used in conjunction with
experimental designs for robustness and optimization

Outcomes: Learner will be able to…

1. Plan data collection, to turn data into information and to make decisions that lead to
appropriate action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experiments



Module
Detailed Contents
Hrs



01 Introduction

1.1 Strategy of Experimentation

1.2 Typical Applications of Experimental Design

1.3 Guidelines for Designing Experiments

1.4 Response Surface Methodology


06






02 Fitting Regression Models

2.1 Linear Regression Models

2.2 Estimation of the Parameters in Linear Regression Models

2.3 Hypothesis Testing in Multiple Regression

2.4 Confidence Intervals in Multiple Regression

2.5 Prediction of new response observation

2.6 Regression model diagnostics

2.7 Testing for lack of fit





08

Page 46

Page | 40





03 Two -Level Factorial Designs and Analysis

3.1 The 22 Design

3.2 The 23 Design

3.3 The General2k Design

3.4 A Single Replicate of the 2k Design

3.5 The Addition of Center Points to the 2k Design,

3.6 Blocking in the 2k Factorial Design

3.7 Split-Plot Designs





07





04 Two -Level Fractional Factorial Designs and Analysis

4.1 The One-Half Fraction of the 2k Design

4.2 The One-Quarter Fraction of the 2k Design

4.3 The General 2k-p Fractional Factorial Design

4.4 Resolution III Designs

4.5 Resolution IV and V Designs

4.6 Fractional Factorial Split-Plot Designs




07




05 Conducting Tests

5.1 Testing Logistics

5.2 Statistical aspects of conducting tests

5.3 Characteristics of good and bad data sets

5.4 Example experiments

5.5 Attribute Vs Variable data sets



07


06 Taguchi Approach

6.1 Crossed Array Designs and Signal -to-Noise Ratios

6.2 Analysis Methods

6.3 Robust design examples

04

Page 47

Page | 41 REFERENCES:

1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3rd edition,John Wiley &
Sons, New York, 2001
2. D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons, New York, 2001
3. George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation and
Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scintists, John Wiley and Sons Inc. ISBN: 0-
471-39054 -2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D. T.Voss
6. Phillip J Ross, ―Taguchi Technique for Quality Engineering,‖ McGrawHill
7. Madhav S Phadke, ― Quality Engineering using Robust Design,‖ Prentice Hall

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.

Page 48

Page | 42 Subject Code Subject Name Credits
ETIE1015 Operations Research 03

Course Objectives:
The aim of this course is
 Formulate a real-world problem as a mathematical programming model.
 Understand the mathematical tools that are needed to solve optimization problems. 
 Use mathematical software to solve the proposed models. 
Course Outcome:
Learners will be able to:
 Understand the theoretical workings of the simplex method, the relationship between
a linear program and its dual, including strong duality and complementary slackness. 
 Perform sensitivity analysis to determine the direction and magnitude of change of a
model‘s optimal solution as the data change. 
 Solve specialized linear programming problems like the transportation and
assignment problems, solve network models like the shortest path, minimum spanning
tree, and maximum flow problems. 
Understand the applications of integer programming and a queuing model and
compute important performance measures

Module Detailed Content Hours
1 Introduction to Operations Research
 Introduction, , Structure of the Mathematical Model, Limitations of
Operations Research
Linear Programming
 Introduction, Linear Programming Problem, Requirements of LPP,
Mathematical Formulation of LPP, Graphical method, Simplex
Method Penalty Cost Method or Big M -method, Two Phase Method,
Revised simplex method, Duality , Primal – Dual construction,
Symmetric and Asymmetric Dual, Weak Duality Theorem,
Complimentary Slackness Theorem, Main Duality Theorem, Dual
Simplex Method, Sensitivity Analysis
Transportation Problem
 Formulation, solution, unbalanced Transportation problem. Finding
basic feasible solutions – Northwest corner rule, least cost method
and Vogel‘s approximation method. Optimality test: the stepping
stone method and MODI method.
Assignment Problem
 Introduction, Mathematical Formulation of the Problem, Hungarian
Method Algorithm, Processing of n Jobs Through Two Machines
and m Machines, Graphical Method of Two Jobs m Machines 14

Page 49

Page | 43 Problem Routing Problem, Travelling Salesman Problem
Integer Programming Problem
 Introduction, Types of Integer Programming Problems, Gomory‘s
cutting plane Algorithm, Branch and Bound Technique. Introduction
to Decomposition algorithms.
2 Queuing models
 Queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service,
finite and infinite population 05
3 Simulation
 Introduction, Methodology of Simulation, Basic Concepts,
Simulation Procedure, Application of Simulation Monte -Carlo
Method: Introduction, Monte -Carlo Simulation, Applications of
Simulation, Advantages of Simulation, Limitations of Simulation 05
4 Dynamic programming
 Characteristics of dynamic programming. Dynamic programming
approach for Priority Management employment smoothening, capital
budgeting, Stage Coach/Shortest Path, cargo loading and Reliability
problems. 05
5 Game Theory
 Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution
of games with saddle points, dominance principle. Rectangular
games without saddle point – mixed strategy for 2 X 2 games. 05
6 Inventory Models
 Classical EOQ Models, EOQ Model with Price Breaks, EOQ with
Shortage, Probabilistic EOQ Model, 05

Textbooks and References:

1. Taha, H.A. "Operations Research - An Introduction ", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "Operations Research: Principles and Practice ",
John Willey and Sons, 2nd Edition, 2009.
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations Research ", Tata McGraw Hill,
2002.
4. Operations Research , S. D. Sharma, KedarNath Ram Nath -Meerut.
5. Operations Research , KantiSwarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons.
Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 50

Page | 44 ject Code Subject Name Credits
ETIE1016 Cyber Security and Laws 03


Course Objectives:
The aim of this course is
 To understand and identify different types cybercrime and cyber law
 To recognized Indian IT Act 2008 and its latest amendments 
 To learn various types of security standards compliances 

Course Outcome:
Learners will be able to:
 Understand the concept of cybercrime and its effect on outside world
 Interpret and apply IT law in various legal issues
 Distinguish different aspects of cyber law
 Apply Information Security Standards compliance during software design and development 


Module Detailed Content Hours
1 Introduction to Cybercrime
 Cybercrime definition and origins of the world, Cybercrime and
information security, Classifications of cybercrime, Cybercrime and
the Indian ITA 2000, A global Perspective on cybercrimes. 04
2 Cyber offenses & Cybercrime
 How criminal plan the attacks, Social Engg, Cyber stalking, Cyber
café and Cybercrimes, Botnets, Attack vector, Cloud computing,
Proliferation of Mobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in
 Mobile and Wireless Computing Era, Security Challenges Posed by
Mobile Devices, Registry Settings for Mobile Devices,
Authentication Service Security, Attacks on Mobile/Cell Phones,
Mobile Devices: Security Implications for Organizations,
Organizational Measures for Handling Mobile, Devices -Related
Security Issues, Organizational Security Policies and Measures in
Mobile Computing Era, Laptops 09
3 Tools and Methods Used in Cyberline
 Phishing, Password Cracking, Keyloggers and Spywares, Virus and
Worms, Steganography, DoS and DDoS Attacks, SQL Injection,
Buffer Over Flow, Attacks on Wireless Networks, Phishing, Identity
Theft (ID Theft) 06
4 The Concept of Cyberspace
 E-Commerce , The Contract Aspects in Cyber Law ,The Security
Aspect of Cyber Law ,The Intellectual Property Aspect in Cyber 08

Page 51

Page | 45 Law, The Evidence Aspect in Cyber Law, The Criminal Aspect in
Cyber Law, Global Trends in Cyber Law, Legal Framework for
Electronic Data Interchange Law Relating to Electronic Banking ,
The Need for an Indian Cyber Law
5 Indian IT Act.
 Cyber Crime and Criminal Justice: Penalties, Adjudication and
Appeals Under the IT Act, 2000, IT Act. 2008 and its Amendments 06
6 Information Security Standard compliances
 SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 06

Textbooks and References:

1. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi.
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information technology Act, 2000; Bare Act- Professional Book Publishers, New
Delhi.
4. Cyber Law & Cyber Crimes By Advocate Prashant Mali; Snow White Publications,
Mumbai
5. Nina Godbole, Information Systems Security, Wiley India, New Delhi
6. Kennetch J. Knapp, Cyber Security & Global Information Assurance Information
Science Publishing.
7. William Stallings , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008 -
TIFR : https://www.tifrh.res.in
9. Website for more information , A Compliance Primer for IT professional:
https:/ /www.sans.org/reading -room/whitepapers/compliance/compliance -primer -professionals -33538



Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Exam ination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 52

Page | 46 Subject Code Subject Name Credits
ETIE1017 Disaster management and Mitigation
Measures 03


Course Objectives:
The aim of this course is
 To understand physics and various types of disaster occurring around the world
 To identify extent and damaging capacity of a disaster
 To study and understand the means of losses and methods to overcome /minimize it.
 To understand role of individual and various organization during and after disaster
 To understand application of GIS in the field of disaster management 
 To understand the emergency government response structures before, during
and after disaster

Course Outcome:
Learners will be able to:
 Get to know natural as well as manmade disaster and their extent and possible effects
on the economy. 
 Plan of national importance structures based upon the previous history.
 Get acquainted with government policies, acts and various organizational structure
associated with an emergency. 
 Get to know the simple do‘s and don‘ts in such extreme events and act accordingly. 


Module Detailed Content Hours
1 Introduction
 Definition of Disaster, hazard, global and Indian scenario, general
perspective, importance of study in human life, Direct and indirect
effects of disasters, long term effects of disasters. Introduction to
global warming and climate change. 03
2 Natural Disaster and Manmade disasters:
 Natural Disaster: Meaning and nature of natural disaster, Flood,
Flash flood, drought, cloud burst, Earthquake, Landslides,
Avalanches, Volcanic eruptions, Mudflow, Cyclone, Storm, Storm
Surge, climate change, global warming, sea level rise, ozone
depletion
 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards.
Role of growing population and subsequent industrialization,
urbani zation and changing lifestyle of human beings in frequent
occurrences of manmade disasters. 09
3 Disaster Management, Policy and Administration
 Disaster management: meaning, concept, importance, objective of
disaster management policy, disaster risks in India, Paradigm shift in
disaster management. 06

Page 53

Page | 47  Policy and administration: Importance and principles of disaster
management policies, command and co-ordination of in disaster
management, rescue operations -how to start with and how to proceed
in due course of time, study of flowchart showing the entire process.
4 Institutional Framework for Disaster Management in India:
 Importance of public awareness, Preparation and execution of
emergency management programme. Scope and responsibilities of
National Institute of Disaster Management (NIDM) and National
disaster management authority (NDMA) in India. Methods and
measures to avoid disasters, Management of casualties, set up of
emergency facilities, importance of effective communication
amongst different agencies in such situations.
 Use of Internet and softwares for effective disaster management.
Applications of GIS, Remote sensing and GPS in this regard. 06
5 Financing Relief Measures:
 Ways to raise finance for relief expenditure, role of government
agencies and NGO‘s in this process, Legal aspects related to finance
raising as well as overall management of disasters. Various NGO‘s
and the works they have carried out in the past on the occurrence of
various disasters, W ays to approach these teams.
 International relief aid agencies and their role in extreme events. 09
6 Preventive and Mitigation Measures:
 Pre-disaster, during disaster and post-disaster measures in some
events in general
 Structural mapping: Risk mapping, assessment and analysis, sea walls
and embankments, Bio shield, shelters, early warning and
communication
 Non Structural Mitigation: Community based disaster preparedness,
risk transfer and risk financing, capacity development and training,
awareness and e ducation, contingency plans.
 Do‘s and don‘ts in case of disasters and effective implementation of
relief aids. 06












Textbooks and References:

1. ‗Disaster Management ‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in
India ‘ by O.S.Dagur, published by Centre for land warfare studies, New

Page 54

Page | 48 Delhi, 2011.
3. ‗Introduction to International Disaster Management ‘ by Damon Copolla,
Butterworth Heinemann Elseveir Publications.
4. ‗Disaster Management Handbook’ by Jack Pinkowski, CRC Press Taylor and
Francis group.
5. ‗Disaster management & rehabilitation’ by Rajdeep Dasgupta, Mittal
Publications, New Delhi.
6. ‗Natural Hazards and Disaster Management , Vulnerability and Mitigation
– R B Singh, Rawat Publications


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.


























Subject Code Subject Name Credits
ETIE1018 Energy Audit and Management 03

Page 55

Page | 49 Course Objectives:
The aim of this course is
 To understand the importance energy security for sustainable development
and the fundamentals of energy conservation. 
 To introduce performance evaluation criteria of various electrical and
thermal installations to facilitate the energy management 
 To relate the data collected during performance evaluation of
systems for identification of energy saving opportunities. 

Course Outcome:
Learners will be able to:
 To identify and describe present state of energy security and its importance. 
 To identify and describe the basic principles and methodologies adopted in
energy audit of a utility.
 To describe the energy performance evaluation of some common
electrical installations and identify the energy saving opportunities. 
 To describe the energy performance evaluation of some common thermal
installations and identify the energy saving opportunities 
 To analyze the data collected during performance evaluation and recommend
energy saving measures


Module Detailed Content Hours
1 Energy Scenario
 Present Energy Scenario, Energy Pricing, Energy Sector
Reforms, Energy Security, Energy Conservation and its
Importance, Energy Conservation Act -2001 and its Features.
Basics of Energy and its various forms, Material and Energy
balance 04
2 Energy Audit Principles
 Definition, Energy audit - need, Types of energy audit, Energy
management (audit) approach -understanding energy costs,
Bench marking, Energy performance, Matching energy use to
requirement, Maximizing system efficiencies, Optimizing the
input energy requirements, Fuel and energy substitution.
Elements of monitoring& targeting; Energy audit Instruments;
Data and information -analysis.
 Financial analysis techniques: Simple payback period, NPV,
Return on investment (ROI), Internal rate of return (IRR) 08

Page 56

Page | 50 3 Energy Management and Energy Conservation in Electrical
System
 Electricity billing, Electrical load management and maximum
demand Control; Power factor improvement, Energy efficient
equipments and appliances, star ratings.
Energy efficiency measures in lighting system, Lighting control:
 Occupancy sensors, daylight integration, and use of intelligent
controllers. Energy conservation opportunities in: water pumps,
industrial drives, induction motors, motor retrofitting, soft
starters, variable speed drives. 10
4 Energy Management and Energy Conservation in Thermal
Systems:
 Review of different thermal loads; Energy conservation
opportunities in: Steam distribution system, Assessment of
steam distribution losses, Steam leakages, Steam trapping,
Condensate and flash steam recovery system.
 General fuel economy measures in Boilers and furnaces, Waste
heat recovery, use of insulation - types and application. HVAC
system: Coefficient of performance, Capacity, factors affecting
Refrigeration and Air Conditioning system performance and
savings opportunities. 10
5 Energy Performance Assessment
 On site Performance evaluation techniques, Case studies based
on: Motors and variable speed drive, pumps, HVAC system
calculations; Lighting System: Installed Load Efficacy Ratio
(ILER) method, Financial Analysis. 04
6 Energy conservation in Buildings
 Energy Conservation Building Codes (ECBC): Green Building,
LEED rating, Application of Non-Conventional and Renewable
Energy Sources 03

Textbooks and References:

1. Handbook of Electrical Installation Practice , Geofry Stokes, Blackwell Science
2. Designing with light: Lighting Handbook , By Anil Valia, Lighting System
3. Energy Management Handbook , By W.C. Turner, John Wiley and Sons
4. Handbook on Energy Audits and Management , edited by A. K. Tyagi, Tata
Energy Research Institute (TERI).
5. Energy Management Principles , C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook , Dale R. Patrick, S. Fardo, Ray E.
Richardson, Fairmont Press
7. Handbook of Energy Audits , Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
9. www.bee -india.nic.in

Page 57

Page | 51
Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 58

Page | 52

Subject Code Subject Name Credits
ETL101 Program Lab-I 01

Course
Code Course
Name Examination Scheme
Term Work Practical and Oral Tot
al

ETL 101 Program
Lab-1
25
25
50

Course Objectives:
1. To learn the concept of impedance matching and RF filters
2. To learn Microwave amplifiers, oscillators and mixer

Course Outcomes: Learners will be able to ...

1. Analyze Bio medical signal using simulation software.
2. Analyze the performance of per processing tools using simulation software.

Term Work:
At least 08 experiments covering the entire syllabus must be given ―Batch Wise‖.
Computation/simulation based experiments are also encouraged. Teacher should refer the suggested list of
experiments and can design additional experiments to acquire practical design skills. The experiments
should be students centric and attempt should be made to make experiments more meaningful, interesting
and innovative.

Sr.
No. Title of Experiment
1 Estimation of Periodogram and Spectrogram and Demonstrate their applications.
2 Pre-processing of Bio-electric signals
3 Wavelet analysis for denoising of Bio -electric signals
4 Wavelet transform for audio signal compression
5 Simulation of adaptive filtering and their applications
6 Generation of Chorus and flanging effects for voice record
7 Implementation of equalizers
8 Simulated generation of ECG signal and isolation of QRS complex
9 Analysis of EEG signals

Page 59

Page | 53  Out of 9 Experiments any 8 Experiments have to be performed. 
Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners. (Examiners will be from PG recognized teachers)

Page 60

Page | 54
Subject
Code Subject Name Credits
ETC201 RF Engineering 03


Course Pre -requisite:
Electromagnetics and Antenna
Microwave Engineering

Course Objectives:
The aim of this course is
To provide state-of-art knowledge in RF circuits and microwave systems.
To explain various methodologies presently prevalent for design of active and passive RF circuits.
To enable students to make system level design decisions.
To expose students to state-of-art simulation systems.
To teach students Computer aided design tools for analysis and design of circuits

Course Outcomes:
Learners will be able to:
Characterize devices at higher frequencies.
Design and analyze RF circuits and components.
Design and analyze amplifiers, oscillators and mixers at microwave frequencies.

Page 61

Page | 55 Module
No. Unit
No. Topics Hrs.
1.0 Introduction to RF, Impedance Matching and RF Filter 08
1.1 Introduction Characteristics of RF Waves and applications, RF
Components and Circuits: Equivalent Circuits of Concentrated
Passive Components like Resistors, Capacitors, Inductors.
1.2 RF Filter Design and Implementation: Butterworth Filter,
Chebyshev Filter, Stepped Impedance Filter.
1.3 Analysis and design: Strip lines, Microstrip lines and coupled lines.
1.4 Impedance Matching: Causes and effects, Techniques using L-C
and distributed Parameters.
2.0 Device Characterization 06
2.1 Multi -port Network representation, S-parameters: Properties and
characterization.
2.2 Spectrum Analyzer and Vector Network Analyzer Basics

2.3 Noise Characterization: Noise Figure, Noise temperature, Noise
parameters, Noise Correlation matrix.
3.0 Amplifier Design 10
3.1 Two-port power gains, Stability Determination: Mathematical and
Graphical
3.2 Single stage amplifier design: Design for Maximum Gain, Design
for Specified Gain, Low Noise Amplifier design
3.3 Power amplifiers: Characteristics of power amplifier and classes of
amplifiers, Design of Class A power amplifier
4.0 Frequency Generation and Mixers 06
4.1 One-port and two-port microwave oscillator design, Analysis of
phase noise in oscillators.
4.2 Mixers: Characteristics, Types of Mixers: Single ended diode mixers,
FET mixers, Balanced mixers, and Image reject mixers.
5.0 Electromagnetic Interference in RF circuits 05
5.1 Natural and Nuclear Sources of EMI, EMI From Apparatus and
Circuits.
5.2 Elements Of Interference including Antennas, Transmitters,
Receivers and Propagation.
5.3 EMI Coupling : Common -Mode Coupling : Common -Mode
Coupling Mechanisms Including Field to Cable, Ground Impedance,
Ground Loop and Coupling Reduction Techniques. Differential -
Mode Coupling: Differential -Mode Coupling Mechanisms Including
Field to Cable, Cable to Cable and Coupling Reduction Techniques.
5.4 Other Coupling mechanisms: Power Supplies and Victim
Amplifiers.
6.0 Electromagnetic Compatibility








04 04
6.1 The Importance of Grounding for achieving EMC, Grounding

Page 62

Page | 56 Schemes (Single Point, Multi -Point and Hybrid), Shield Grounding
and Bonding. Shielding Effectiveness, Shielding Considerations
(Reflective and Absorptive), Shielding Compromises (I.E.,
Apertures, Gaskets, Waveguide Beyond Cut-Off).
6.2 EMC Specifications, Standards and Measurements. A Review Of
MIL-Standards, FCC And CISPR Requirements.
Total







04 39












Textbooks and References:

1. David Pozar, ―Microwave Engi neering‖, Wiley Public ation, Fourth E dition
2. Matthew M. Rad manesh, ―Radio F requency and Microwave Electronics‖, Pearson Edu cation.
3. David Weston F. Giannini, G. Leuzzi, ―Non-linear Microwave Circuit Design‖, Wiley Publica tion.
4. David Weston ―Electromagnet ic Compatibility, Principles and Applications‖ Marcel
Dekker,Second Edition


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 63

Page | 57


Subject Code Subject Name Credits
ETC202 Modern Digital Communication 03


Course Pre-requisite:
 Digital communication
 Random Signal Analysis

Course Objectives:
The aim of this course is to let the students obtain
 Fundamentals of modern communication system
 Ability to analyze and design digital communication systems

Course Outcome:
Learners will be able to:
 Explain and implement different source coding techniques
 Analyze waveform receivers for coherent and non-coherent communication
 Describe and design of band -limited channels
 Evaluate the detection and estimation of signals in the presence of noise.
 Explain the characteristics of fading channels.

Module Detailed Content Hours
1 Source Coding
 Average ,mutual information & entropy
 Coding for discrete sources
 The Lempel algorithm(LZ -77,LZ -78,LZW)
 Coding for analog sources -Temporal waveform coding
 Spatial waveform coding 06

Page 64

Page | 58 2 Coherent Communication with Waveforms
 Binary cross -correlation receivers
 Matched filter receivers
 M-ary waveform receivers
 Time -sampling approach
 Karhunen -Loeve(K -L) Expansion approach
 Whitening approach
 Real and complex signal models
 Effect of Data Imperfect Carrier Synchronization
 Effect of Data Imperfect bit synchronization 07
3 Non Coherent Communication with Waveforms
 Non Coherent receivers in random phase channels
 Optimum M-FSK receivers
 Non coherent receivers in random amplitude and phase 07
channels
 Optimum receivers in Rayleigh channels
 Optimum receivers in Rician channels
4 Signal Design for Channel and Equalization
 Design of band limited signals with controlled ISI
 Symbol by symbol sub optimum detection
 Introduction to linear equalizer
 Means square error (MSE) criterion
 Iterative equalization and decoding
 Introduction to adaptive equalization
 The LMS Algorithm 07
5 Optimum Detection and Estimation
 Noise vector in signal space
 Bayes detection of received signal
 Decision region & minimum error probability
 Optimum detection of several special comm. signals 06
6 Fading Channels
 Small scale multipath propagation
 Parameters of mobile multipath channels
 Types of small scale fading
 Rayleigh and Rician distribution 06
Total 39

Textbooks and References:

1. Digital Communication by John G.Proakis, 3rd Edition McGraw –Hill
International Editions.
2. Digital Communication Techniques Signal Design & Detection by Marvin K.
Simon, Sami M Hindei, William C Lindesy, PHI Learning Private Limited.
3. Digital Communications, Fundamental & Application by Bernard Sklar,

Page 65

Page | 59 Pabitra Kumar Ray, 2nd Edition , Pearson Publication
4. Wireless communication principles and practice by Theodore S.
Rappaport, 2nd Edition , Pearson Publication


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 66

Page | 60 Subject Code Subject Name Credits
ETPE2011 Satellite Networking 04


Course Pre-requisite:
 Satellite Communication and Networks
 Internet Voice and Mobile Communication

Course Objectives:
The aim of this course is
 To understand and learn advanced networking techniques with satellite systems
 To be able to devise link budget model of satellite communication for
specific applications
 To be able to apply knowledge to upgrade satellite communication systems

Course Outcome:
Learners will be able to:
 Perform link budget for specific satellite application
 Learn different advanced satellite networking concepts
 Understand usage of lasers in satellites and satellite service applications

Module Detailed Content Hours
1 Introduction
 Origin of satellite communications, Development, space and
ground segments, types of orbits, evolution of satellite
communication, Development of satellite services and
Launching mechanism in the Geostationary orbit, Orbits and
orbital perturbations 08
2 System Segment and Link Analysis
 AOCS, TTC, Equipment Reliability and Space qualifications,
Link analysis 06
3 Satellite Networks Architecture and organization
 Applications and services of satellite network, network
reference models, Architecture, On board connectivity, frame
organisation, Window organization 06
4 Laser Satellite Communications
 Link introduction, optical satellite link transmitter, Receiver,
satellite beam acquisition, Tracking and positioning, Single hop
satellite connections, multi hop satellite connections, inter
satellite links 07
5 Specific Satellite Network
 Study of IRIDIUM and GLOBALSTAR Synchronous Digital
Hierarchy (SDH), Integrated services digital networks (ISDN), 06

Page 67

Page | 61 ISDN over satellite, Interworking with heterogeneous networks,
Case studies - satellite image analysis and photogrammetry.
6 Satellite Applications
 Communication applications (ATM service, DTH service, TV
broadcast), Earth observation applications (Urban planning,
Oceanography, resource management, agriculture services),
Meteorology applications weather forecasting, 06
Total 39


Textbooks and References:

1. Satellite Communication Systems, Techniques and Technology -5th Edition by Gerard
Maral and Michel Bousquet, John Wiley Publication (Text book for chapter -1 to 5)
2. Mobile Satellite Communication Networks – By Ray Sheriff, Y. Fun Hu, John Wiley
Publication (Text book for chapter -1 to 3)
3. Satellite Networking: Principles and Protocols 2nd Edition by Zhili Sun, John Wiley
Publication (Text book for chapter -3 & 5)
4. Satellite Communications by Roddy Dennis, 5th Edition, McGraw Hill Education
Publication (Reference book)
5. Satellite Communication – Timothy Pratt, C. Boustian, J. Allmuti, Wiley Publication
(Reference Book)

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
two modules) and the other is either a class test (on minimum three modules of the remaining) or
assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out
of these, question number 1 will be compulsory and it will carry questions covering each module.
From remaining questions any three questions to be attempted by student.

Page 68

Page | 62 Subject Code Subject Name Credits
ETDLO2022 Network and Cyber Security 04


Course Pre-requisite:
 Computer Communication Networks
 Operating System
 Probability Theory and Random Processes

Course Objectives:
The aim of this course is
 To introduce advanced techniques to implement security mechanisms
using IDS, Firewall, and Antivirus and Biometrics, Incident handling and
Forensics
 To discuss security implications on Organizations, security standards and Cyber laws.

Course Outcome:
Learners will be able to:
 Describe security threats and apply security techniques using cryptosystems.
 Explain the key terms and concepts in cyber law, intellectual property and
cyber crimes, trademarks and domain theft
 Build and configure firewall and intrusion detections systems‘ using GNU
open source security tools.
 Incorporate approaches for incident analysis and response, for risk
management and best practices and digital evidence collection, and
evidentiary reportin g in forensic acquisition



Module Detailed Content Hours
1 Introduction to Network and Cyber Security
 Need for network security, Attacks and Their classification,
 Network Vulnerabilities and control
 Security services and mechanisms,
 Impact of Security on Enterprises
 Risk Factors and Cost Analysis. 04
2 Cryptography and Cryptosystems
 Classical and modern cryptography, stream and block ciphers,
 Message digest, digital signature, digital certificate, certificate
authority, cryptanalysis
 DES/AES/RSA/RC4/MD5/SHA algorithms
 Secure protocols SSL, IPSec, VPN,PKI 7
3 Ethical Hacking and Network Differences 8

Page 69

Page | 63  Cybercrimes, Cybercriminals, Cyberoffences, Cybercrimes in
Mobile and Wireless Devices, Tools and Methods used in
Cybercrimes
 Network reconnaissance, scanning and sniffing, gaining access.
 Security Technologies: Firewall, IDS and Antivirus, Reverse
proxy
 L7 content filtering firewall, NAT & reverse proxy, Firewall
deployment and limitations, selection of firewalls. Performance
analysis of firewall.
 Signature and Anamoly based IDSs, IDS deployment, zone
diagram, performance analysis of IDS, strengths and limitations
of IDS
4 Cybersecurity Principles and best Practices
 Layered Defense, Surveillance and Reconnaissance
Outsider/Internal Threat Protection,
 Privacy, Intellectual Property, Professional Ethics, Freedom of
Speech, Fair User and Ethical Hacking, Trademarks ,Internet
Fraud ,Electronic Evidence. 6
5 Cybersecurity Implications on Organizations, Standards and
Cyber laws
 Risk Management: Asset Evaluation and Business Impact
Analysis, Risk Identification, Risk Quantification, Risk
Response Development and Control Security Policy,
Compliance, and Business Continuity.
 Cyber Incident Preparation: Incident Detection and Analysis,
Containment, Eradication, and Recovery ,Proactive and Post -
Incident Cyber Services
 Forensics: Forensic Technologies ,Digital Evidence Collection
,Evidentiary Reporting
 The Indian IT Act and new amendments. 8
6 System Security and Case Study
 Security Operations Center (SOC), Network Operations Center
(NOC),
 Network Security Audit
 SET, Biometric Security, Digital Immune System
 Cloud Security. Wi-Fi Security, Mobile and Cellular Security. 6


Textbooks and References:

1. Cryptography and Network Security by Behrouz Forouzan McGrawHill Publications
2. Security in Computing by Pfleeger and Pfleeger, Pearson Publications
3. Management of Information Security by M. Whitman Cengage Publications
4. Cengage Learning India, Network Security and Cryptography by B. Menezes.

Page 70

Page | 64
5. Computer Security by Matt Bishop, Pearson Publication
6. Cryptography and Network Security by William Stallings, Pearson publications .
7. Cyber Security by Nina Godbole, John Wiley Publications
8. Information Security: Principles and Practice, 2nd edition by Mark Stamp and Deven
Shah.
9. Data Communication & Network Security by Houston Carr and Charles Snyder,
McGraw -Hill Publication.

Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.

Page 71

Page | 65





Subject Code Subject Name Credits
ETPE2013 Remote Sensing 03

Course Pre-requisite:
 Digital Image Processing 

Course Objectives:
The aim of this course is
 To provide exposure to students in gaining knowledge on concepts and applications
of Remote Sensing
 To give exposure to participants for Digital Image Processing with more emphasis on
classification 
 To acquire skills in advance techniques such as hyper spectral, thermal and
microwave for mapping and monitoring. 
Course Outcome:
Learners will be able to:
 Demonstrate detailed, integrated knowledge of the application and history of remote
sensing
 Discuss the nature of electromagnetic radiation and its interaction with the earth's
surface and atmosphere 
 Demonstrate a critical understanding of the differences between remote sensing
systems and be aware of their characteristics and limitations 
 Critically identify specific applications where remote processing may be used as a
tool for monitoring and research. 



Module Detailed Content Hours

Page 72

Page | 66
1 Introduction to Remote Sensing
 What is Remote Sensing (RS)? Characteristics/elements of RS
systems, Electromagnetic Radiation Electromagnetic Spectrum,
Polarization, Interactions with the Atmosphere (Absorption,
Scattering: Rayleigh, Mie, Non selective, absorption), Radiation
- Target i nteractions, Passive vs. Active Sensing, Basic Image
processing concepts: Image as a matrix, B/W and Colour
(RGB) 06
2 Sensors
 Ground and Air, Satellite Characteristics: orbits, swaths, Spatial
Resolution, Pixel Size (IFOV, resolution cell), Spectral,
Radiometric, Temporal Resolution, Cameras and Aerial
Photography, Multispectral and Hyperspectral Scanning,
Thermal Imaging, Geometric Distortion, Different Satellites: 08
All Weather Satellites, Land Observation, Marine Observation,
LIDAR, FLIR, RADAR, Side looking Radar.
3 Microwave Remote Sensing
 Introduction, RADAR Basics, Viewing Geometry, RADAR
Image Distortions, Target Interaction and Image Appearance,
RADAR Image Properties, RADAR Polarimetry (Polarization,
Signatures, Backscatter, Parameters Affecting Backscatter,
Applications), Synthetic Aperture RADAR (SAR), Airborne
and Spaceborne Radars. 7
4 Image Transforms
 Visual Image Analysis (tone, shape, size, pattern, texture,
shadow, and Association), Digital Image Processing steps (Pre-
processing, Enhancement, Transformation and Classification),
Contrast Enhancement: Global, Local Techniques, Filtering,
Image Transformations: Arithmetic Operations (Subtraction,
Spectral Ratio, NDVI, PCT, FT,) 07
5 Image Classification and Analysis
 Visual Interpretation, Image Classification: Optimum band
selection, Supervised (Minimum Distance, Parallelopiped and
Maximum Likelihood), Assessment of Classification Accuracy
(Confusion or Error Matrix, Omission and Commission Error,
Kappa Coefficient), Unsupervised Classification techniques: K -
means, 7
6 Applications of Remote Sensing
 Agriculture, Forestry, Land Cover/ Land Use Mapping, Water
Resources, Snow and Glacier, Wetland Management, Oceans
and Coastal, Soil Moisture 04

Page 73

Page | 67
Total 39



Textbooks and References:

Textbooks:
1. Fundamentals of Remote Sensing , George Joseph, Universities Press; Second Edition,
ISBN -10: 817371535, ISBN -13: 978 -8173715358
2. Remote Sensing: Models and Methods for Image Processing , Robert A.
Schowengerdt, Academic Press, Third Edition, ISBN -10: 8131203182, ISBN -13:
978-8131203187
3. Remote Sensing and Image Interpretation , Lillesand, Kiefer, Chipman, Wiley, Sixth
Edition, ISBN -10: 8126532238, ISBN -13: 978-8126532230



Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.
End Semester Examination:
Some guidel ines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.

Page 74

Page | 68


















Subject Code Subject Name Credits
ETPE2021 Error Control Coding 03

Course Pre-requisite:
 Digital Communication 
 Applied Maths

Course Objectives:
The aim of this course is
 To provide students a sound knowledge of traditional and modern coding theory, the
motivation behind synthesis of channel coding techniques. 

Course Outcome:
Learners will be able to:
 Design channel codes for the physical layer and storage applications 
 Design new channel codes for wired/wireless communication systems



Module Detailed Content Hours
1 Introduction to Algebra
 Groups, Fields, Binary Field Arithmetic, Construction of Galois
Field GF (2m ) and its basic properties, Computation using
Galois Field GF (2m ) Arithmetic, Vector spaces and Matrices. 06

Page 75

Page | 69
2 Linear Codes
 Block codes: Generator and Parity check Matrices, Encoding
circuits, Syndrome and Error Detection, Minimum Distance
Considerations, Error detecting and Error correcting
capabilities, Standard array and Syndrome decoding, Decoding
circuits, Hamming Codes, Reed – Muller codes, Golay code,
Product codes and Interleaved codes.
 Cyclic Codes: Introduction, Generator and Parity check
Polynomials, Encoding using Multiplication circuits,
Systematic Cyclic codes – Encoding using Feedback shift
register circuits, Generator matrix for Cyclic codes, Syndrome
computation and Error detection, Meggitt decoder, Error
trapping decoding, Cyclic Hamming codes, Golay code,
Shortened cyclic codes. 08
3 BCH Codes
 Binary primitive BCH codes, Decoding procedures,
Implementation of Galois field Arithmetic, Implementation of
Error correction. Non – binary BCH codes: q – ary Linear
Block Codes, Primitive BCH codes over GF (q), Reed –
Solomon Codes, Decoding of Non – Binary BCH and RS
codes: The Berlekamp - Massey Algorithm. 06
4 Convolutional Codes
 Encoding of Convolutional codes, Structural properties,
Distance properties, Viterbi Decoding Algorithm for decoding,
Soft – output Viterbi Algorithm, Stack and Fano sequential
decoding Algorithms, Majority logic decoding. 07
5 Concatenated Codes and Turbo Codes
 Single level Concatenated codes, Multilevel Concatenated
codes, Soft decision Multistage decoding, Concatenated coding
schemes with Convolutional Inner codes. 06
6 Burst Error Correcting Codes
 Burst and Random error correcting codes, Concept of Inter –
leaving, cyclic codes for Burst Error correction – Fire codes,
Convolutional codes for Burst Error correction. 06
Total 39


Textbooks and References:

1. Shu Lin & Daniel J. Costello, Jr. “Error Control Coding” Prentice Hall, Second
Edition, 2004.
2. S. B Wicker, Error Control Systems for Digital Communication and Storage , Prentice

Page 76

Page | 70
Hall International, 1995.
3. Blahut R. E, Theory and Practise of Error Control Codes , Addisson Wesley, 1983
4. Blahut R.E., Algebraic codes for Data transmission , Cambridge University Press,
2003.


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.




Subject Code Subject Name Credits
ETPE2022 Wireless Adhoc and Sensor Networks 03


Course Pre-requisite:
 Computer Networks 
 Wireless Networks 

Course Objectives:
The aim of this course is to let the students
 To understand the Wireless adhoc and sensor Network.
 To understand the major challenges and designing issues in designing wireless sensor
and adhoc networks. 
 To understand various MAC and routing protocols in wireless sensor and adhoc
networks. 
 To Understand Heterogeneous network architecture including MANET, WLAN,
Cellular Networks. 

Course Outcome:
Learners will be able to:
 Understand and explain the concept of adhoc and sensor networks and their
applications. 

Page 77

Page | 71
 Set up and evaluate performance of various protocols in wireless sensor and adhoc
networks. 
 Understand TCP performance over adhoc network.
 Understand integration of MANET, cellular Network and WLAN.

Module Detailed Content Hours
1 Introduction to MANET and Wireless Sensor Network
 Challenges and Applications of MANET, Design issues and
application of sensor Network, Sensing and Communication
Range, Energy and Clustering of sensors, Wireless mesh
Network, Architecture and Challenging technologies. 06
2 Routing in Adhoc Networks
 Introduction, Topology -Based versus Position -Based
Approaches, Topologies -Based Routing Protocols, Position -
Based Routing, Other Routing Protocols, Wireless LAN,
Wireless PAN, Wireless BAN . 06
3 Broadcasting, Multicasting, Geocasting and QoS in MANET
 Introduction, The Broadcast Storm, Multicasting, Geocasting,
QOS requirements, objectives and Architecture 06
4 TCP over Adhoc Networks
 Introduction, TCP Protocol Overview, TCP and MANETs, 06
Solutions for TCP over Adhoc.
5 Design Consideration in Sensor Network
 Introduction, Classifications of WSNs, MAC Layer, Routing
Layer, High Level Application Layer Support, Adapting to the
Inherent Dynamic Nature of WSNs, Cognitive Radio based
sensor Networks. Nano Sensor Networks. 09
6 Integrating MANETs, WLANs and Cellular Networks
 Introduction, Ingredients of a Heterogeneous Architecture,
Protocol Stack, Comparison of the Integrated Architectures. 06
Total 39

Textbooks and References:

1. Adhoc & Sensor Networks Theory and Applications by Cordeiro, Agrawal, Cambridge
University Press India Pvt. Ltd, Edition 2010.
2. Adhoc Wireless Networks Architecture and Protocols by C.Siva Ram Murthy and
B.S.Manoj, Pearson.
3. Adhoc & Sensor Networks by Houda Labiod, Wiley.
4. Wireless Communication and Networking -Vijay Garg, Elsevier Inc.

Page 78

Page | 72
5. Wireless and Mobile Networks, Concepts and Protocols by Manvi, Kakkasageri,
second edition, Wiley.


Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live proble ms or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.










Subject Code Subject Name Credits
ETPE2023 Cognitive Radio 03


Course Pre-requisite:
 Digital communication

Course Objectives:
The aim of this course is to let the students
● This subject introduces the fundamentals of multi rate signal processing and cognitive radio.
 To understand the working of cognitive radio.
 To understand the major challenges and designing issues in using the bandwidth

Course Outcome:
Learners will be able to:
 Gain knowledge on multirate systems.
 develop the ability to analyze, design, and implement any application using
 Be aware of how signal processing concepts can be used for efficient FPGA based system design .
 understand the rapid advances in Cognitive radio technologies

Page 79

Page | 73
 explore DDFS, CORDIC and its application

Text Books
1. J. H. Reed, ―Software Radio‖, Pearson, 2002.
2. U. Meyer – Baese , ―Digital Signal Processing with FPGAs‖, Springer, 2004.
3. H. Arslan ―Cognitive Radio, Software Defined Radio and Adaptive Wireless Systems‖, University of South Florida, USA,
Springer, 2007.
Reference Books
1. S. K. Mitra, ―Digital Signal processing‖, McGrawHill, 1998
2. K.C.Chen, R.Prasad , ―Cognitive Radio Networks‖ , Wiley, 2009-06-15.
3. T. W. Rondeau, C.W.Bostian, ―Artificial Intelligence in Wireless Communications‖ ,2009.
4. Tusi, ―Digital Techniques for Wideband recei vers‖, Artech House, 2001 .
5. T. DarcChiueh, P. Yun Tsai,‖ OFDM baseband receiver design for wireless communications‖,
Wiley, 2007


Module Detailed Content Hours
1 Filter banks -uniform filter bank. direct and DFT approaches.
Introduction to ADSL Modem. Discrete multitone modulation and its
realization using DFT. QMF.STFT.Computation of DWT using filter
banks. 08
2 DDFS - ROM LUT approach. Spurious signals, jitter. Computation of
special functions using CORDIC. Vector and rotation mode of
CORDIC.CORDIC architectures. 06
3 Block diagram of a software radio. Digital down converters and
demodulators Universal modulator and demodulator using CORDIC.
Incoherent demodulation - digital approach for I and Q generation,
special sampling schemes. CIC filters. Residue number system and high
speed filters using RNS. Down conversion using discrete Hilbert
transform. Under sampling receivers, Coherent demodulation schemes 09
4 Concept of Cognitive Radio, Benefits of Using SDR, Problems
Faced by SDR, Cognitive Networks,Cognitive Radio Architecture.
Cognitive Radio Design, Cognitive Engine Design, 04

Page 80

Page | 74
5 A Basic OFDM System Model, OFDM based cognitive radio, Cognitive
OFDM Systems, MIMO channel estimation, Multi -band OFDM,
MIMO -OFDM synchronization and frequency offset estimation . 06
6 Spectrum Sensing to detect Specific Primary System, Spectrum Sensing
for Cognitive OFDMA Systems. 06
Total 39







Assessment Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum two
modules) and the other is either a class test (on minimum three modules of the remaining) or assignment on
live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these, question number 1 will be compulsory and it will carry questions covering each module. From
remaining questions any three questions to be attempted by student.




Subject Code Subject Name Credits
ETIE2011 Project Management 03


Course Objectives:
The aim of this course is
 To familiarize the students with the use of a structured methodology/approach for
each and every unique project undertaken, including utilizing project management
concepts, tools and techniques.
 To appraise the students with the project management life cycle and make them
knowledgeable about the various phases from project initiatio n through closure.

Course Outcome:
Learners will be able to:
 Apply selection criteria and select an appropriate project from different options.

Page 81

Page | 75
 Write work break down structure for a project and develop a schedule based on it.
 Identify opportunities and threats to the project and decide an approach to deal with
them strategically.
 Use Earned value technique and determine & predict status of the project.
 Capture lessons learned during project phases and document them for future reference


Module Detailed Content Hours
1 Project Management Foundation:
 Definition of a project, Project Vs Operations, Necessity of
project management, Triple constraints, Project life cycles
(typical & atypical) Project phases and stage gate process. Role
of project manager. Negotiations and resolving conflicts.
Project management in various organization structures. PM
knowledge areas as per Project Management Institute (PMI). 05
2 Initiating Projects:
 How to get a project started, Selecting project strategically,
Project selection models (Numeric /Scoring Models and Non-
numeric models), Project portfolio process, Project sponsor and
creating charter; Project proposal. Effective project team,
Stages of team development & growth (forming, storming,
norming & performing), team dynamics. 06
3 Project Planning and Scheduling
 Work Breakdown structure (WBS) and linear responsibility
chart, Interface Co-ordination and concurrent engineering,
Project cost estimation and budgeting, Top down and bottoms
up budgeting, Networking and Scheduling techniques. PERT,
CPM, GANTT chart. Introduction to Project Management
Information System (PMIS). 8
4 Planning Projects
 Crashing project time, Resource loading and leveling,
Goldratt's critical chain, Project Stakeholders and
Communication plan.
 Risk Management in projects: Risk management planning,
Risk identification and risk register. Qualitative and
quantitative risk assessment, Probability and impact matrix.
Risk response strategies for positive and negative risks 06

Page 82

Page | 76
5 Executing Projects:
 Planning monitoring and controlling cycle. Information needs
and reporting, engaging with all stakeholders of the projects.
 Team management, communication and project meetings.
Monitoring and Controlling Projects:
 Earned Value Management techniques for measuring value of
work completed; Using milestones for measurement; change
requests and scope creep. Project audit.
Project Contracting
 Project procurement management, contracting and outsourcing 08
6 Project Leadership and Ethics:
 Introduction to project leadership, ethics in projects.
 Multicultural and virtual projects.
Closing the Project:
 Customer acceptance; Reasons of project termination, Various
types of project terminations (Extinction, Addition,
Integration, Starvation), Process of project termination,
completing a final report; doing a lessons learned analysis;
acknowledging successes and failures; Project management
templates and other resources; Managing without authorit y;
Areas of further study. 06















Textbooks and References:

1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach ,
Wiley India, 7th Ed.
2. A Guide to the Project Management Body of Knowledge (PMBOK ® Guide) , 5th Ed,
Project Management Institute PA, USA
3. Gido Clements, Project Management , Cengage Learning.

Page 83

Page | 77
4. Gopalan, Project Management , , Wiley India
5. Dennis Lock, Project Management , Gower Publishing England, 9th Ed.
Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

.


























Subject Code Subject Name Credits
ETIE2012 Finance Management 03


Course Objectives:
The aim of this course is

Page 84

Page | 78
 Overview of Indian financial system, instruments and market
 Basic concepts of value of money, returns and risks, corporate finance, working
capital and its management
 Knowledge about sources of finance, capital structure, dividend policy

Course Outcome:
Learners will be able to:
 Understand Indian finance system and corporate finance
 Take investment, finance as well as dividend decisions

Module Detailed Content Hours
1 Overview of Indian Financial System
 Characteristics, Components and Functions of Financial
System.
Financial Instruments
 Meaning, Characteristics and Classification of Basic Financial
Instruments — Equity Shares, Preference Shares, Bonds -
Debentures, Certificates of Deposit, and Treasury Bills.
Financial Markets
 Meaning, Characteristics and Classification of Financial
Markets — Capital Market, Money Market and Foreign
Currency Market
Financial Institutions
 Meaning, Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment -Merchant Banks
and Stock Exchanges 06
2 Concepts of Returns and Risks
 Measurement of Historical Returns and Expected Returns of a
Single Security and a Two -security Portfolio; Measurement of
Historical Risk and Expected Risk of a Single Security and a
Two-security Portfolio.
Time Value of Money
Future Value of a Lump Sum, Ordinary Annuity, and Annuity
Due; Present Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Continuous Compounding and Continuous
 Discounting 06

Page 85

Page | 79
3 Overview of Corporate Finance
 Objectives of Corporate Finance; Functions of Corporate
Finance —Investment Decision, Financing Decision, and
Dividend Decision.
Financial Ratio Analysis
 Overview of Financial Statements —Balance Sheet, Profit and
Loss Account, and Cash Flow Statement; Purpose of Financial
Ratio Analysis; Liquidity Ratios; Efficiency or Activity Ratios;
Profitability Ratios; Capital Structure Ratios; Stock Market
Ratios; Limitations of Ratio Analysis. 09
4 Capital Budgeting
 Meaning and Importance of Capital Budgeting; Inputs for
Capital Budgeting Decisions; Investment Appraisal Criterion —
Accounting Rate of Return, Payback Period, Discounted
Payback Period, Net Present Value(NPV), Profitability Index,
Internal Rate of Return (IRR), and Modified Internal Rate of
Return (MIRR)
Working Capital Management
 Concepts of Meaning Working Capital; Importance of Working
Capital Management; Factors Affecting an Entity‘s Working
Capital Needs; Estimation of Working Capital Requirements;
Management of Inventories; Management of Receivables; and
Management of Cash and Marketable Securities. 10
5 Sources of Finance
 Long Term Sources —Equity, Debt, and Hybrids; Mezzanine
Finance; Sources of Short Term Finance —Trade Credit, Bank
Finance, Commercial Paper; Project Finance.
Capital Structure
 Factors Affecting an Entity‘s Capital Structure; Overview of
Capital Structure Theories and Approaches — Net Income
Approach, Net Operating Income Approach; Traditional
Approach, and Modigliani -Miller Approach. Relation between
Capital Structure and Corporate Value; Concept of Optimal
Capital Structure 05
6 Dividend Policy
 Meaning and Importance of Dividend Policy; Factors Affecting
an Entity‘s Dividend Decision; Overview of Dividend Policy
Theories and Approaches —Gordon‘s Approach, Walter‘s
Approach, and Modigliani -Miller Approach 03

Page 86

Page | 80
Textbooks and References:

1. Fundamentals of Financial Management , 13th Edition (2015) by Eugene F. Brigham
and Joel F. Houston; Publisher: Cengage Publications, New Delhi.
2. Analysis for Financial Management , 10th Edition (2013) by Robert C. Higgins;
Publishers: McGraw Hill Education, New Delhi.
3. Indian Financial System , 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill
Education, New Delhi.
4. Financial Management , 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand
(G/L) & Company Limited, New Delhi.

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 87

Page | 81
Subject Code Subject Name Credits
ETIE2013 Entrepreneurship Development and
Management 03

Course Objectives:
The aim of this course is
 To acquaint with entrepreneurship and management of business
 Understand Indian environment for entrepreneurship
 Idea of EDP, MSME .
Course Outcome:
Learners will be able to:
 Understand the concept of business plan and ownerships
 Interpret key regulations and legal aspects of entrepreneurship in India
Understand government policies for entrepreneurs

Module Detailed Content Hours
1 Overview Of Entrepreneurship
 Definitions, Roles and Functions/Values of Entrepreneurship,
History of Entrepreneurship Development, Role of
Entrepreneurship in the National Economy, Functions of an
Entrepreneur, Entrepreneurship and Forms of Business
Ownership
 Role of Money and Capital Markets in Entrepreneurial
Development: Contribution of Government Agencies in
Sourcing information for Entrepreneurship 04
2 Business Plans And Importance Of Capital To Entrepreneurship
 Preliminary and Marketing Plans, Management and Personnel,
Start -up Costs and Financing as well as Projected Financial
Statements, Legal Section, Insurance, Suppliers and Risks,
Assumptions and Conclusion, Capital and its Importance to the
Entrepreneur
 Entrepreneurship And Business Development: Starting a
New Business, Buying an Existing Business, New Product
Development, Business Growth and the Entrepreneur Law and
its Relevance to Business Operations 09
3  Women‘s Entrepreneurship Development, Social entrepreneurship -
role and need, EDP cell, role of sustainability and sustainable
development for SMEs, case studies, exercises 05

Page 88

Page | 82 4 Indian Environment for Entrepreneurship
 Key regulations and legal aspects , MSMED Act 2006 and its
implications, schemes and policies of the Ministry of MSME,
role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of
infrastructure developments and support etc., Public private
partnerships, National Skill development Mission, Credit
Guarantee Fund, PMEGP, discussions, group exercises etc 08
5 Effective Management of Business
 Issues and problems faced by micro and small enterprises and
effective management of M and S enterprises (risk
management, credit availability, technology innovation, supply
chain management, linkage with large industries), exercises, e -
Marketing 08
6 Achieving Success In The Small Business
 Stages of the small business life cycle, four types of firm -level
growth strategies, Options – harvesting or closing small
business Critical Success factors of small business 05

Textbooks and References:

1. Poornima Charantimath, Entrepreneurship development - Small Business Enterprise ,
Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship ,
latest edition, The McGrawHill Company
3. Dr TN Chhabra , Entrepreneurship Development , Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Global Perspective , New century
Publications, New Delhi
5. Vasant Desai, Entrepreneurial development and management , Himalaya Publishing
House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship , Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish , CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises , Taxmann
Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices , Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Page 89

Page | 83 Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 90

Page | 84 Subject Code Subject Name Credits
ETIE2014 Human Resource Management 03

Course Objectives:
The aim of this course is
 To introduce the students with basic concepts, techniques and practices of the human
resource management.
 To provide opportunity of learning Human resource management (HRM) processes,
related with the functions, and challenges in the emerging perspective of today‘s
organizations.
 To familiari ze the students about the latest developments, trends & different aspects
of HRM.
 To acquaint the student with the importance of inter-personal & inter-group
behavioral skills in an organizational setting required for future stable engineers,
leaders and managers.
Course Outcome:
Learners will be able to:
 Understand the concepts, aspects, techniques and practices of the human resource
management.
 Understand the Human resource management (HRM) processes, functions, changes
and challenges in today‘s emerging organizational perspective.
 Gain knowledge about the latest developments and trends in HRM.
 Apply the knowledge of behavioral skills learnt and integrate it with in inter personal
and intergroup environment emerging as future stable engineers and managers.

Module Detailed Content Hours
1 Introduction to HR
 Human Resource Management - Concept, Scope and
Importance, Interdisciplinary Approach Relationship with other
Sciences, Competencies of HR Manager, HRM functions.
 Human resource development (HRD): changing role of HRM –
Human resource Planning, Technological change, Restructuring
and rightsizing, Empowerment, TQM, Managing ethical issues. 05
2 Organizational Behavior (OB)
 Introduction to OB Origin, Nature and Scope of Organizational
Behavior, Relevance to Organizational Effectiveness and
Contemporary issues
 Personality: Meaning and Determinants of Personality,
Personality development, Personality Types, Assessment of
Personality Traits for Increasing Self Awareness 07

Page 91

Page | 85  Perception: Attitude and Value, Effect of perception on
Individual Decision -making, Attitude and Behavior.
 Motivation: Theories of Motivation and their Applications for
Behavioral Change (Maslow, Herzberg, McGregor)
 Group Behavior and Group Dynamics: Work groups formal and
informal groups and stages of group development. Team
Effectiveness: High performing teams, Team Roles, cross
functional and self -directed team.
 Case study
3 Organizational Structure &Design
 Structure, size, technology, Environment of organization;
Organizational Roles & conflicts: Concept of roles; role
dynamics; role conflicts and stress.
 Leadership: Concepts and skills of leadership, Leadership and
managerial roles, Leadership styles and contemporary issues in
leadership.
 Power and Politics: Sources and uses of power; Politics at
workplace, Tactics and strategies . 06
4 Human resource Planning
 Recruitment and Selection process, Job-enrichment,
Empowerment - Job-Satisfaction, employee morale.
 Performance Appraisal Systems: Traditional & modern
methods, Performance Counselling, Career Planning.
 Training & Development: Identification of Training Needs,
Training Methods 05
5 Emerging Trends in HR
 Organizational development; Business Process Re -engineering
(BPR), BPR as a tool for organizational development ,
managing processes & transformation in HR. Organizational
Change, Culture, Environment
 Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and diversity at work , Causes of diversity,
managing diversity with special reference to handicapped,
women and ageing people, intra company cultural difference in
employee motivation. 06

Page 92

Page | 86 6 HR & MIS
 Need, purpose, objective and role of information system in HR,
Applications in HRD in various industries (e.g. manufacturing
R&D, Public Transport, Hospitals, Hotels and service industries
Strategic HRM
 Role of Strategic HRM in the modern business world, Concept
of Strategy, Strategic Management Process, Approaches to
Strategic Decision Making; Strategic Intent – Corporate
Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations 05
 Evolution of IR, IR issues in organizations, Overview of Labor
Laws in India; Industrial Disputes Act, Trade Unions Act,
Shops and Establishments Act

Textbooks and References:

1. Stephen Robbins, Organizational Behavior , 16th Ed, 2013
2. V S P Rao, Human Resource Management , 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases , 6th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India , 15th Ed,
2015, Himalaya Publishing, 15thedition, 2015
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations ,
5th Ed, 2013, Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavior , Latest Ed, 2016, Pearson
Publications

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 93

Page | 87 Subject Code Subject Name Credits
ETIE2015 Professional Ethics and Corporate Social
Responsibility (CSR) 03


Course Objectives:
The aim of this course is
 To understand professional ethics in business
 To recognized corporate social responsibility
Course Outcome:
Learners will be able to:
 Understand rights and duties of business
 Distinguish different aspects of corporate social responsibility
 Demonstrate professional ethics
 Understand legal aspects of corporate social responsibility



Module Detailed Content Hours
1 Professional Ethics and Business:
 The Nature of Business Ethics; Ethical Issues in Business;
Moral Responsibility and Blame; Utilitarianism: Weighing
Social Costs and Benefits; Rights and Duties of Business 04
2 Professional Ethics in the Marketplace
 Perfect Competition; Monopoly Competition; Oligopolistic
Competition; Oligopolies and Public Policy
Professional Ethics and the Environment
 Dimensions of Pollution and Resource Depletion; Ethics of
Pollution Control; Ethics of Conserving Depletable Resources 08
3 Professional Ethics of Consumer Protection
 Markets and Consumer Protection; Contract View of Business
Firm‘s Duties to Consumers; Due Care Theory; Advertising
Ethics; Consumer Privacy
Professional Ethics of Job Discrimination
 Nature of Job Discrimination; Extent of Discrimination;
Reservation of Jobs. 06
4 Introduction to Corporate Social Responsibility
 Potential Business Benefits —Triple bottom line, Human resources,
Risk management, Supplier relations; Criticisms and concerns —
Nature of business; Motives; Misdirection.
 Trajectory of Corporate Social Responsibility in India 05

Page 94

Page | 88 5 Corporate Social Responsibility
 Articulation of Gandhian Trusteeship Corporate Social 08
Responsibility and Small and Medium Enterprises (SMEs) in
India, Corporate Social Responsibility and Public -Private
Partnership (PPP) in India
6 Corporate Social Responsibility in Globalizing India
 Corporate Social Responsibility Voluntary Guidelines, 2009
issued by the Ministry of Corporate Affairs, Government of
India, Legal Aspects of Corporate Social Responsibility —
Companies Act, 2013. 08

Textbooks and References:

1. Business Ethics: Texts and Cases from the Indian Perspective (2013) by Ananda Das
Gupta; Publisher: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by
Andrew Crane, Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases , 7th Edition (2011) by Manuel G. Velasquez;
Publisher: Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routledge,
New Delhi.

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 95

Page | 89 Subject Code Subject Name Credits
ETIE2016 Research Methodology 03


Course Objectives:
The aim of this course is
 To understand Research and Research Process
 To acquaint students with identifying problems for research and develop research
strategies
 To familiarize students with the techniques of data collection, analysis of data and
interpretation

Course Outcome:
Learners will be able to:
 Prepare a preliminary research design for projects in their subject matter areas
 Accurately collect, analyze and report data
 Present complex data or situations clearly
Review and analyze research findings

Module Detailed Content Hours
1 Introduction and Basic Research Concepts
 Research – Definition; Concept of Construct, Postulate, Proposition,
Thesis, Hypothesis, Law, Principle.Research methods vs
Methodology
 Need of Research in Business and Social Sciences
 Objectives of Research
 Issues and Problems in Research
 Characteristics of Research: Systematic, Valid, Verifiable, Empirical
and Critical 09
2 Types of Research
 Basic Research
 Applied Research
 Descriptive Research
 Analytical Research
 Empirical Research
 Qualitative and Quantitative Approaches 07
3 Research Design and Sample Design
 Research Design – Meaning, Types and Significance
 Sample Design – Meaning and Significance Essentials of a
good sampling Stages in Sample Design Sampling
methods/techniques Sampling Errors 07

Page 96

Page | 90 4 Research Methodology
 Meaning of Research Methodology
 Stages in Scientific Research Process:
• Identification and Selection of Research Problem
• Formulation of Research Problem
• Review of Literature
• Formulation of Hypothesis
• Formulation of research Design
• Sample Design
• Data Collection
• Data Analysis
• Hypothesis testing and Interpretation of Data
• Preparation of Research Report 08
5 Formulating Research Problem
 Considerations: Relevance, Interest, Data Availability, Choice
of data, Analysis of data, Generalization and Interpretation of
analysis 04
6 Outcome of Research
 Preparation of the report on conclusion reached
 Validity Testing & Ethical Issues
 Suggestions and Recommendation 04

Textbooks and References:

1. Dawson, Catherine, 2002, Practical Research Methods , New Delhi, UBS Publishers
Distributors.
2. Kothari, C.R.,1985, Research Methodology -Methods and Techniques , New Delhi,
Wiley Eastern Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step-by-Step Guide for Beginners ,
(2nded), Singapore, Pearson Education

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 97

Page | 91 Subject Code Subject Name Credits
ETIE2017 IPR and Patenting 03


Course Objectives:
The aim of this course is
 To understand intellectual property rights protection system
 To promote the knowledge of Intellectual Property Laws of India as well as
International treaty procedures
 To get acquaintance with Patent search and patent filing procedure and applications

Course Outcome:
Learners will be able to:
 Understand Intellectual Property assets
 Assist individuals and organizations in capacity building
 Work for development, promotion, protection, compliance, and enforcement of
Intellectual Property and Patenting


Module Detailed Content Hours
1 Introduction to Intellectual Property Rights (IPR)
 Meaning of IPR, Different category of IPR instruments -
Patents, Trademarks, Copyrights, Industrial Designs, Plant
variety protection, Geographical indications, Transfer of
technology etc.
Importance of IPR in Modern Global Economic Environment
 Theories of IPR, Philosophical aspects of IPR law s, Need for
IPR, IPR as an instrument of development 05
2 Enforcement of Intellectual Property Rights
 Introduction, Magnitude of problem, Factors that create and
sustain counterfeiting/piracy, International agreements,
International organizations (e.g. WIPO, WTO) active in IPR
enforcement
Indian Scenario of IPR
 Introduction, History of IPR in India, Overview of IP laws in
India, Indian IPR, Administrative Machinery, Major
international treaties signed by India, Procedure for submitting
patent and Enforcement of IPR at national level etc. 07
3 Emerging Issues in IPR
 Challenges for IP in digital economy, e-commerce, human 05

Page 98

Page | 92 genome, biodiversity and traditional knowledge etc.
4 Basics of Patents
 Definition of Patents, Conditions of patentability, Patentable
and non-patentable inventions, Types of patent applications
(e.g. Patent of addition etc), Process Patent and Product Patent,
Precautions while patenting, Patent specification Patent claims,
Disclosures and non-disclosures, Paten t rights and
infringement, Method of getting a patent 07
5 Patent Rules
 Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario, Multilateral treaties
where India is a member (TRIPS agreement, Paris convention
etc.) 08
6 Procedure for Filing a Patent (National and International)
 Legislation and Salient Features, Patent Search, Drafting and
Filing Patent Applications, Processing of patent, Patent
Litigation, Patent Publication etc, Time frame and cost, Patent
Licensing, Patent Infringement
Patent databases
 Important websites, Searching international databases 07

Textbooks and References:

1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property
Rights in India , The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance , Published by National
Working Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India , Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human
Development: Current Trends and Future Scenario , Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents,
Copyrights, Trade Marks and Allied Right , 7th Edition, Sweet & Maxwell
6. Lous Harns, 2012, The enforcement of Intellactual Property Rights: A Case Book , 3rd
Edition, WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights , 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights , 1st
Edition, Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2 -11, Intellectual Property Rights , 2nd Edition,
Serial Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers , 1st
Edition, BS Publications

Page 99

Page | 93 11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on
Intellectual Property Rights .
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and
Engineers , World Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti Mathur, Anshul Rathi , IPR: Drafting, Interpretation
of Patent Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers , IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists ,
Wiley -IEEE Press

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 100

Page | 94 Subject Code Subject Name Credits
ETIE2018 Digital Business Management 03


Course Objectives:
The aim of this course is
 To familiarize with digital business concept
 To acquaint with E-commerce
 To give insights into E-business and its strategies

Course Outcome:
Learners will be able to:
 Identify drivers of digital business
 Illustrate various approaches and techniques for E-business and management
 Prepare E-business plan

Module Detailed Content Hours
1 Introduction to Digital Business
 Introduction, Background and current status, E -market places,
structures, mechanisms, economics and impacts
 Difference between physical economy and digital economy,
Drivers of digital business
 Big Data & Analytics, Mobile, Cloud Computing, Social media,
BYOD, and Internet of Things(digitally intelligent
machines/services)
 Opportunities and Challenges in Digital Business, 09
2 Overview of E-Commerce
 E-Commerce - Meaning, Retailing in e -commerce -products and
services, consumer behavior, market research and
advertisement
 B2B-E-commerce -selling and buying in private e-markets,
public B2B exchanges and support services, e -supply chains,
Collaborative Commerce, Intra business EC and Corporate
portals
 Other E-C models and application s, innovative EC System -
From E -government and learning to C2C, mobile commerce
and pervasive computing
 EC Strategy and Implementation -EC strategy and global EC,
Economics and Justification of EC, Using Affiliate marketing
to promote your e-commerce business, Launching a successful
online business and EC project, Legal, Ethics and Societal
impacts of EC 06
3 Digital Business Support services 06

Page 101

Page | 95  ERP as e –business backbone, knowledge Tope Apps,
Information and referral system
Application Development
 Building Digital business Applications and Infrastructure
4 Managing E-Business
 Managing Knowledge, Management skills for e -business,
Managing Risks in e –business
 Security Threats to e -business -Security Overview, Electronic
Commerce Threats, Encryption, Cryptography, Public Key and
Private Key Cryptography, Digital Signatures, Digital
Certificates, Security Protocols over Public Networks: HTTP,
SSL, Firewall as Security Control, Public Key Infrastructure
(PKI) for Security, Prominent Cryptographic Applications 06
5 E-Business Strategy
 E-business Strategic formulation - Analysis of Company‘s
Internal and external environment, Selection of strategy,
 E-business strategy into Action, challenges and E-Transition
 (Process of Digital Transformation) 04
6 Materializing e-business
 From Idea to Realization -Business plan preparation
 Case Studies and presentations 08

Textbooks and References:

1. A textbook on E-commerce , Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers
& Distributors, 2011
2. E-commerce from vision to fulfilment , Elias M. Awad, PHI-Restricted, 2002
3. Digital Business and E-Commerce Management , 6th Ed, Dave Chaffey, Pearson,
August 2014
4. Introduction to E-business -Management and Strategy , Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy , Eloise Coupey, 2nd Edition, Pearson
6. Trend and Challenges in Digital Business Innovation , Vinocenzo Morabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in : Proceedings in 2nd International
Conference theory and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation , TCS
consulting journal Vol.5
10. Measuring Digital Economy -A new perspective -DOI: 10.1787/9789264221796 -en
OECD Publishing

Page 102

Page | 96


Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or assignment
on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80% syllabus
Examination: syllabus should be covered in question papers of end semester examination. In
question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

Page 103

Page | 97 Subject Code Subject Name Credits
ETIE2019 Environmental Management 03


Course Objectives:
The aim of this course is
 Understand and identify environmental issues relevant to India and global concerns
 Learn concepts of ecology
 Familiarise environment related legislations

Course Outcome:
Learners will be able to:
 Understand the concept of environmental management
 Understand ecosystem and interdependence, food chain etc.
 Understand and interpret environment related legislations

Module Detailed Content Hours
1 Introduction and Definition of Environment
 Significance of Environment Management for contemporary
managers, Career opportunities.
 Environmental issues relevant to India, Sustainable
Development, The Energy scenario. 10
2 Global Environmental concerns
 Global Warming, Acid Rain, Ozone Depletion, Hazardous
Wastes, Endangered life-species, Loss of Biodiversity,
Industrial/Man -made disasters, Atomic/Biomedical hazards,
etc. 06
3 Concepts of Ecology
 Ecosystems and interdependence between living organisms,
habitats, limiting factors, carrying capacity, food chain, etc. 05
4  Scope of Environment Management, Role & functions of
Government as a planning and regulating agency.
 Environment Quality Management and Corporate
Environmental Responsibility 10
5  Total Quality Environmental Management, ISO-14000, EMS
certification. 05
6  General overview of major legislations like Environment
Protection Act, Air (P & CP) Act, Water (P & CP) Act,
Wildlife Protection Act, Forest Act, Factories Act, etc. 03

Page 104

Page | 98 Textbooks and References:

1. Environmental Management: Principles and Practice , C J Barrow,
Routledge Publishers London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and
David G. Ockwell, Edward Elgar Publishing
3. Environmental Management , T V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Systems — Requirements
With Guidance For Use, Bureau Of Indian Standards, February 2005
5. Environmental Management: An Indian Perspective , S N Chary and Vinod
Vyasulu, Maclillan India, 2000
6. Introduction to Environmental Management , Mary K Theodore and Louise
Theodore, CRC Press
7. Environment and Ecology , Majid Hussain, 3rd Ed. Access Publishing.2015

Assessment
Internal: Assessment consists of two tests out of which; one should be
compulsory class test and the other is either a class test or
assignment on live problems or course project.

End Semester Some guidelines for setting the question paper. Minimum 80%
Examination: syllabus should be covered in question papers of end semester
examination. In question paper weightage of each mo dule will be
proportional to number of respective lecture hours as mention in the
syllabus.

Page 105

Page | 2 Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ETL201 Program Lab-
1 -- 2 hrs -- -- 1 -- 01

Course
Code Course
Name Examination Scheme
Theory Marks Exam
Duration
(Hrs.) Term
Work Practical
and Oral Total
Internal Assessment End Sem.
Exam. Test1 Test2 Avg.

ETL201 Program
Lab-1
--
--
--
--
--
25
25
50
Course Objectives:

3. To learn the concept of impedance matching and RF filters
4. To learn Microwave amplifiers, oscillators and mixer
Course Outcomes: Learners will be able to ...
3. Analyze impedance matching networks using simulation software.
4. Analyze RF filter, amplifiers, oscillators and mixer using simulation software.
Term Work:
At least 08 experiments covering the entire syllabus must be given ―Batch Wise‖.
Computation/simulation based experiments are also encouraged. Teacher should refer the
suggested list of experiments and can design additional experiments to acquire practical design
skills. The experiments should be students centric and attempt should be made to make
experiments more meaningful, interesting and innovative.
Suggested List of experiments:

1. To Study the non-ideal characteristics of Lumped elements using spectrum/network
analyzer.
2. Analysis of the Low-Pass and High pass composite filter design using simulation
software.
3. Analysis of the filter design by Insertion Loss method using simulation software.
4. Study the impedance matching in case of real and imaginary loads using simulation
software.
5. Analysis of a Low Noise Amplifier (LNA)using simulation software.
6. Analysis of Microwave Oscillator using simulation software and its demonstration using
spectrum analyzer.
7. Measurement of gain factor & tunable bandwidth of voltage control oscillator (VCO)
using spectrum analyzer.
8. Analysis of simple mixer using time domain and frequency domain response using
simulation software.
9. Demonstrate the different stages of microwave amplifier using spectrum analyzer.
Common -Mode Currents and Radiated Emissions of Cables

Page 106

Page | 3