BE EXTC Sem VII VIII_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS) ,
2. The Deputy Registrar, College Affiliations & Development Department
(CAD),
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Department (AEM) ,
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7. The Deputy Registrar (Special Cell),
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(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,
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(CCF & UCC) , Vidyanagari,
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12. All Deputy Registrar, Examination House,
13. The Deputy Registrar s, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -campus Thane ,
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for information.

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AC – 11 July, 2022
Item No. – 6.30 (R)





University of Mumbai








Revised Syllabus for
B.E. (Electronics & Telecommunication Engineering)
(Sem . - VII to VIII)
(Choice Based Credit System)



(With effect from the academic year 2022 -23)

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Preamble

To me et the challenge of ensuring excellence in engineering education, the issue of quality needs to
be addressed, debated and taken forward in a systematic manner. Accreditation is the principal means
of quality assurance in higher education. The major emphasi s of accreditation process is to measure
the outcomes of the program that is being accredited. In line with this Faculty of Science and
Technology (in particular Engineering)of University of Mumbai has taken a lead in incorporating
philosophy of outcome ba sed education in the process of curriculum development.
Faculty resolved that course objectives and course outcomes are to be clearly defined for each course,
so that all faculty members in affiliated institutes understand the depth and approach of course to be
taught, which will enhance learner’s learning process. Choice based Credit and grading system
enables a much -required shift in focus from teacher -centric to learner -centric education since the
workload estimated is based on the investment of time in learning and not in teaching. It also focuses
on continuous evaluation which will enhance the quality of education. Credit assignment for courses
is based on 15 weeks teaching learning process, however content of courses is to be taught in 13
weeks and rem aining 2 weeks to be utilized for revision, guest lectures, coverage of content beyond
syllabus etc.
There was a concern that the earlier revised curriculum more focused on providing information and
knowledge across various domains of the said program, whi ch led to heavily loading of students in
terms of direct contact hours. In this regard, faculty of science and technology resolved that to
minimize the burden of contact hours, total credits of entire program will be of 171, wherein focus
is not only on pr oviding knowledge but also on building skills, attitude and self learning. Therefore
in the present curriculum skill based laboratories and mini projects are made mandatory across all
disciplines of engineering in second and third year of programs, which w ill definitely facilitate self
learning of students. The overall credits and approach of curriculum proposed in the present revision
is in line with AICTE model curriculum.
The present curriculum will be implemented for Second Year of Engineering from the academic year
2020 -21. Subsequently this will be carried forward for Third Year and Final Year Engineering in the
academic years 2021 -22, 2022 -23, respectively.


Dr. S. K. Ukarande Dr Anuradha Muzumdar
Associate Dean Dean
Faculty of Science and Technology Faculty of Science and Technology
University of Mumbai University of Mumbai


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Incorporation and Implementation of Online Contents
from NPTEL/ Swayam Platform


The curriculum revision is mainly focused on knowledge component, skill based activities and
project based activities. Self learning opportunities are provided to learners. In the revision
process this time in particular Revised syllabus of ‘C ‘ scheme wherever possible additional
resource links of platforms such as NPTEL, Swayam are appropriately provided. In an earlier
revision of curriculum in the year 2012 and 2016 in Revised scheme ‘A' and ‘B' respectively,
efforts were made to use online contents m ore appropriately as additional learning materials to
enhance learning of students.
In the current revision based on the recommendation of AICTE model curriculum overall credits
are reduced to 171, to provide opportunity of self learning to learner. Learn ers are now getting
sufficient time for self learning either through online courses or additional projects for enhancing
their knowledge and skill sets.
The Principals/ HoD’s/ Faculties of all the institute are required to motivate and encourage
learners t o use additional online resources available on platforms such as NPTEL/ Swayam.
Learners can be advised to take up online courses, on successful completion they are required to
submit certification for the same. This will definitely help learners to facili tate their enhanced
learning based on their interest.



Dr. S. K. Ukarande Dr Anuradha Muzumdar
Associate Dean Dean
Faculty of Science and Technology Faculty of Science and Technology
University of Mumbai University of Mumbai







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Preface By BoS
Technological developments in the field of electronics and telecommunication engineering have
revolutionized the way people see the world today. Hence, there is a need for continuously
enriching the quality of education by a regular revision in the curricu lum, which will help our
students achieve better employability, start -ups, and other avenues of higher studies. The current
revision in the Bachelor of Engineering program (REV - 2019 ‘C’ Scheme) aims at providing a
strong foundation with required analytica l concepts in the field of electronics and
telecommunication engineering.

Some of the salient features of this revised curriculum are as below and they fall in line with the
features in AICTE Model Curriculum.

1. The curriculum is designed in such a way that it encourages innovation and research as the
total number of credits ha s been reduced from around 200 credits in an earlier curriculum to
171 credits in the current revision.
2. In the second and third -year curriculum , skill-based laboratories and mini-projects are
introduced.
3. It will result in the students developing a problem -solving approach and will be able to meet
the challenges of the future.
4. The University of Mumbai and BoS – Electronics and Telecommunication Engineering will
ensure the revision of the curriculum on regular basis in the future as well and this updat e will
certainly help students to achieve better employability; start -ups and other avenues for higher
studies.

The BoS would like to thank all the subject experts, industry representatives, alumni, and various
other stakeholders for their sincere efforts and valuable time in the preparation of course
contents, reviewing the contents, giving valuable suggestions, and critically analyzing the
contents.
Board of Studies in Elec tronics and Telecommunication Engineering

Dr. Faruk Kazi: Chairman
Dr. V. N. Pawar: Member
Dr. Ravindra Duche: Member
Dr. Milind Shah: Member
Dr. R. K. Kulkarni: Member
Dr. Baban U. Rindhe: Member
Dr. Mrs. Nair: Member
Dr. Nalbarwar: Member
Dr. Sudhakar Mande: Member
Dr. S. D. Deshmukh: Member
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Program Structure for Final Year
Electronics & Telecommunication Engineering

Semester VII & VIII
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023)
Semes ter VII
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ECC701 Microwave Engineering 3 -- -- 3 -- -- 3
ECC702 Mobile Communication
System 3 -- -- 3 -- -- 3
ECCDLO701X Departm ent Optional
Course -3 3 -- -- 3 -- -- 3
ECCDLO702X Department Optional
Course -4 3 -- -- 3 -- -- 3
ILO701X Institute Level Optional
Course -1 3 -- -- 3 -- -- 3
ECL701 Microwave Engineering
Laboratory -- 2 -- -- 1 -- 1
ECL702 Mobile Communication
System Laboratory -- 2 -- -- 1 -- 1
ECP701 Major Project -I -- 6# -- -- 3 -- 3
Total 15 10 -- 15 5 -- 20

# indicates work load of Learner (Not Faculty), for Major Project
Project Guide Load = ½ ho ur per week per project group
Course
Code Course Name Exami nation Scheme
Theory
Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Term
Work Practical
& Oral
Total Test 1 Test 2 Avg.
ECC701 Microwave Engineering 20 20 20 80 3 -- -- 100
ECC702 Mobile Communication
System 20 20 20 80 3 -- -- 100
ECCDLO
701X Department Level Optional
Course -3 20 20 20 80 3 -- -- 100
ECCDLO
702X Department Level Optional
Course -4 20 20 20 80 3 -- -- 100
ILO701X Institute Level Optional
Course -1 20 20 20 80 3 -- -- 100
ECL701 Microwave Engineering
Laboratory -- -- -- -- -- 25 25 50
ECL702 Mobile Communication
System Laboratory -- -- -- -- -- 25 25 50
ECP701 Major Project -I -- -- -- -- -- 25 25 50
Total -- -- 100 400 -- 75 75 650



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Department Level Optional Course -3
Course Code Course Name
ECCDLO 7011 Efficient Architectures for DSP
Algorithms
ECCDLO 7012 Deep Learning
ECCDLO 7013 Cloud Computing and Security
ECCDLO 7014 Big Data Analytics
ECCDLO 7015 Software Defined Radio

Department Level Optional Course -4
Course Code Course Name
ECCDLO 7021 Robotics
ECCDLO 7022 5G Technology
ECCDLO 7023 Internet Communication Engineering
ECCDLO 7024 Advanced Digital Signal Processing
ECCDLO 7025 Quantum Computing

Institute Level Optional Course -1
Course Code Course Name
ILO 7011 Product L ifecycle Management
ILO 7012 Reliability Engineering
ILO 7013 Management Information System
ILO 7014 Design of Experiments
ILO 7015 Operation Research
ILO 7016 Cyber Security and Laws
ILO 7017 Disaster Management and Mitigation Measures
ILO 7018 Energy Audit and Management
ILO 7019 Development Engineering




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Program Structure for Final Year
Electronics & Telecommunication Engineering

Semester VII & VIII
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023)
Semester VIII
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ECC801 Optical Communication and
Networks 3 -- -- 3 -- -- 3
ECCDLO801X Department Level Optional
Course -5 3 -- -- 3 -- -- 3
ECCDLO802X Department Level Optional
Course -6 3 -- -- 3 -- -- 3
ILO80 1X Institute Level Optional
Course -2 3 -- -- 3 -- -- 3
ECL 801 Optical Communication and
Networks Laborato ry -- 2 -- -- 1 -- 1
ECP801 Major Project -II -- 12# -- -- 6 -- 6
Total 12 14 -- 12 7 -- 19

# indicates work load of Learner (Not Faculty), for Major Project
Project Guide Load = 01 hour per week per project group
Course Code Course Name Examination Scheme
Theory
Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Term
Work Practical
& Oral
Total Test
1 Test 2 Avg.
ECC8 01 Optical Communication
and Networks 20 20 20 80 3 -- -- 100
ECCDLO801
X Department Level Optional
Cours e-5 20 20 20 80 3 -- -- 100
ECCDLO802
X Department Level Optional
Course -6 20 20 20 80 3 -- -- 100
ILO801 X Institute Level Optional
Course -2 20 20 20 80 3 -- -- 100
ECL8 01 Optical Communication
and Networks Laboratory -- -- -- -- -- 25 25 50
ECP801 Major Project -II -- -- -- -- -- 50 100 150
Total -- -- 80 320 -- 75 125 600







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Department Level Optional Course -5
Course Code Course Name
ECCDLO 8011 System On Chip Design
ECCDLO 8012 Natural Language Processing
ECCDLO 8013 Wireless Networks
ECCDLO 8014 Web Design
ECCDLO 8015 RF Design

Department Level Optional Course -6
Course Code Course Name
ECCDLO 8021 Autonomous Vehicle
ECCDLO 8022 Satellite and Nano Satellite Communication
ECCDLO 8023 Network Management in Telecommunication
ECCDLO 8024 Microstrip Antenna
ECCDLO 8025 Augmented Reality and Virtual Reality

Institute Level Optional Course -1
Course Code Course Name
ILO 8011 Project Management
ILO 8012 Finance Management
ILO 8013 Entrepreneurship Development and Management
ILO 8014 Human Resource Management
ILO 8015 Professional Ethics and CSR
ILO 8016 Research Methodology
ILO 8017 IPR and Patenting
ILO 8018 Digital Business Management
ILO 8019 Environmental Management



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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC701 Microwave
Engineering 03 -- -- 03 -- -- 03


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.
ECC701 Microwave
Engineering 20 20 20 80 03 -- -- 100


Course Pre -requisite: Knowledge of Electromagnetic Engineering

-
Course Objectives:

The course should enable the students to:
1. Perceive the concepts of waveguides and analyze the field components in
different types of Waveguides.
2. Categorize different types of microwave components based on their
applications.
3. Imbibe knowledge to use microwave oscillators & amplifiers in microwave
communication and Compare their characteristics. IV.
4. Demonstrate the ability to measure different microwave parameters using
microwave bench setup.
Course Outcomes:
1. Describe the types of wav eguides, rectangular waveguides and field
equations
2. Understand the coupling mechanisms in waveguides and analyze the
waveguide multiport junctions
3. .Explore the microwave linear tubes and analyze with microwave cross field
tubes
4. Understand the microwave solid state devices and avalanche transit time
devices
5. Demonstrate the microwave bench set up and conducting measurements of
different parameters



















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Module
No. Unit
No. Topics Hrs.
1.0 TRANSMISSION LINES 06

1.1 Transmission line equations, open and short circuit transmission lines,
variation of impedance over length of line, Smith chart, use of Smith chart
in impedance matching
1.2 Planar transmis sion lines: microstrip line , strip line and coplanar lines
2.0 WA VEGUIDES 07
2.1 Introduction, microwave spectrum and band s, applications of
microwaves,

Types of waveguides, rectangular waveguides, field equations in
rectangular waveguide, field components of TM and TE waves for
rectangular waveguide, modes of TM and TE waves in rectangular
waveguide, impossibility of TEM waves, cut off frequency of rectangular
waveguide;

Wave impedance in rectangular waveguide: Wave impedance for a TM
and TE wave in rectangular waveguide, Dominant mode and degenerate
modes, mode characteristics of phase velocity, group velocity,
wavelength and impedance relations; Illustrative problems;
2.2 Cavity resonators: Types of cavity resonators; Rectangular cavity
resonator: Dominant modes and resonant frequencies, illustrative
problems.
3.0 WA VEGUIDE COMPONENTS 06
3.1 Coupling mechanisms: Probe, loop, coupling to a cavity resonator,
waveguide discontinuities, waveguide irises, tuning screws and posts,
matched loads; Waveguide attenuators; Waveguide phase shifters;
waveguide
3.2 multiport junctions: E plane Tee, H plane Tee, Magic Tee, applications of
Magic Tee, hybrid ring; Ferrites: Faraday rotation principle, gyrator,
isolator, circulator
4.0 MICROWA VE TUBES 10
4.1 Microwave linear beam tubes (O type): Limitations of conventional tubes
at microwave frequencies; Klystron: Velocity modulation process,
bunching process, output power and beam loading; Multicavity Klystron
amplifiers: Beam current density, output current and output power of two
cavity Klystron; Reflex Klystron: Velocity modulation, power output and
efficiency.
4.2 Helix Traveling Wave tube: Slow wave structures, amplification process,
conventional current; Microwave cross field tubes (M type): Introduction,
cross -field effects; Magnetrons: Different types, 8 -cavity cylindrical
travelling wave Magnetron, Hull cut -off and Hartree conditions, modes
of resonance and PI -mode operation.
5.0 MICROWA VE SEMICONDUCTOR DEVICES 06
4.1 Microwave solid -state devices: Microwave tunnel diode; Pin diodes,
varactor diodes, crystal detectors.
Transferred electron devices: Gunn -effect diodes, RWH theory, modes of
operations;
Avalanche transit time devices: IMPATT diode, TRAPATT diode,
BARITT diode,
6.0 MICROWA VE MEASUREMNETS 04
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6.1 Description of microwave bench: Different blocks and their features,
precautions; Microwave power measurement: Bolometers; Measurement
of attenuation; Frequency standing wave measurements: measurement of
low and high VSWR; Cavity Q; Impedance measurements.
Total 39


Text Books:

1. Samuel Y . Liao, ―Microwave Devices and Circuits ‖, Pearson, 3rd Edition, 2003.
2. Peter A. Rizzi, ―Microwave Engineering Passive Circuits ‖ PHI, 3rd Edition, 1999
3. M.L. Sisodia, G.S.Raghuvanshi, ―Microwave Circuits and Passive Devices ‖ Wiley
Eastern Ltd., New Age International Publishers Ltd, 1stEdition, 1995.

Reference books
1. R.E. Collin ―Foundations for Microwave Engineering ‖ IEEE Press, John Wi ley


Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excludin g contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 702 Mobile
Communication
System 03 -- -- 03 -- -- 03

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.
ECC 702 Mobile
Communication
System 20 20 20 80 03 -- -- 100

Course Pre -requisite:

ECC40 5 - Principles of Communication Engineering
ECC501 - Digital Communication
ECC602 - Computer Communication and Networks

Course Objectives:

1. To understand the cellular fundamentals and different types of radio propagation models.
2. To study evolution of 2G and 3G mobile technologies.
3. To illustrate the working principle of LTE.
4. To learn the concepts of emerging technologies for 4 G standards and beyond.

Course Outcomes:

After successful completion of the course student will be able to:
1. Explain the cellular fundamentals and estimate the coverage and capacity of cellular systems .
2. Classify different types of propagation models and analyse the link budget.
3. Compare and contrast GSM, GPRS, HSCSD, EDGE and IS -95 Technologies .
4. Apply the concepts of 3G technologies for UMTS and CDMA 2000.
5. Describe the features and working principle of 3GPP LTE.
6. Discuss the emerging technologies for upcoming mobile communication systems.















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Module
No. Unit
No. Topics Hrs.
1.0 Fundamentals of Mobile Communication 07

1.1 Introduction to Wireless Communication: Mobile Radio Telephony, Examples of
Wireless Communication Systems 01
1.2 The Cellular Concept System Design Fundamentals: Frequency reuse, Channel
assignment strategies, Interference and system capacity, Trunking and Grade of
service, Improving Coverage and Capacity in Cellular System and related problems. 06
2.0 Mobile Radio Propagation 08
2.1 Large scale fading: Free space propagation model, ground reflection (two -ray) model,
practical Link budget design using path loss models.
Self-learning: Basic propagation mechanisms, reflection, diffraction and scattering . 03
2.2 Small scale fading: Small -scale multipath propagation, parameters of mobile
multipath channels, types of small -scale fading, Rayleigh and Ricean distributions. 02
2.3 Features of all conventional multiple access techniques: Frequency Division
Multiple Access (FDMA), Time Division Multiple Access (TDMA), Space
Spectrum Multiple Access (SSMA), Space Division Multiple Access (SDMA ),
Orthogonal Frequency Division Multiple Access ( OFDM A), OFDM -PAPR 03
3.0 2G Technologies 08
3.1 GSM: GSM Network Architecture, air interface specifications, GSM signaling
protocol architecture, GSM channels, GSM services and features, GSM multifare
structure, GSM speech coding, GSM Call procedures, Authentication and security in
GSM, and handoff procedures in GSM. 04
3.2 GSM evolution: GPRS , HSCSD and EDGE architecture, radio specifications 02
3.3 IS-95: CDMA air interface, CDMA channels, power control in CDMA system,
handoff, and RAKE receiver. 02
4.0 3G Technologies 05
4.1 UMTS: Objectives, standardization and releases, network architecture, air interface
specifications, channels, security procedure, W -CDMA air interface, attributes of W -
CDMA system, W -CDMA channels . 03
4.2 Cdma2000 cellular technologies: Forward and Reverse Channels, Handoff and
Power Control . 02
5.0 3GPP LTE 06
5.1 Introduction, system overview: Frequency bands and spectrum flexibility, network
structure, protocol structure . 02
5.2 Physical layer: Frames, slots, and symbols, modulation, coding, multiple -antenna
techniques 02
5.3 Logical and Physical Channels: Mapping of data onto (logical) sub -channels,
Establishing a connection, Physical layer retransmissions and reliability , Power
control, and handover . 02
6.0 Advanced techniques for 4G deployment and beyond 05
6.1 Multi -antenna Techniques: Smart antennas, Multiple input Multiple out put systems . 02
6.2 Cognitive radio: Architecture, spectrum sensing .
Software Defined Radio (SDR): Components and Applications. 02
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6.4 Introduction to 5G network and technologies used in 5G such as small cell concept,
Massive MIMO, Beamforming, NOMA, and mm wave ). 01
Total 39

Textb ooks :

1. T. L. Singal “wireless communications ”, Mc Graw Hill Education .
2. Theodore S. Rappaport “wireless communications - principles and practice ”,
PEARSON, Second edition.
3. Andreas F. Molisch “wireless communications ” WILEY INDIA PVT LTD, Second
edition.

Reference Books:
1. Upena Dalal “Wireless and Mobile Communications ‖”, Oxford university Press
2. Vijay K.Garg “Wireless Communications and Networking ” ,Morgan –Kaufmann series
in Networking -Elsevier.
3. J. H. Reed, Software -Defined Radio, Prentice -Hall, 2002
4. W. C. Y . Lee , Mobile Communication, Wiley
5. David Tse, Pramod Viswanath “Fundamentals of Wireless Communication”
published by Cambridge University Press

E - Resources :
NPTEL courses :
1. http://nptel.ac.in/courses/117104099/ - (Advanced 3G and 4G Wireless Mobile
communications)
2. https://nptel.ac.in/courses/117/102/117102062/ - (Wireless Communications)
3. Virtual lab: http://vlab.co.in

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted
on approximately 40% of the syllabus completed and IA -2 will be based on remaining contents
(approximately 40% syllabus but excluding contents covered in IA -I). Duration of each test
shall be one hour. Average of the two tests will be considered as IA marks.
End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number
of respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -
questions will be asked.
3. Remaining questions will be mixe d in nature and randomly selected from all the modules.
4. Weightage of each module will be proportional to number of respective lecture hours as
mentioned in the syllabus.
5. Total 04 questions need to be solved.

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Course Code Course Name Teaching Scheme
(Contact Hrs.) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7011 Efficient
Architectures for
DSP Algorithms 03 -- -- 03 -- -- 03



Course Code
Course Name Examination Scheme
Theory Marks Exam
Duration
(in Hrs.) Term
Work Practical
And
Oral Total
Internal assessment End
Sem.
Exam
Test 1 Test 2 Avg. Of
Test 1 and
Test 2
ECCDLO
7011 Efficient
Architectures for
DSP Algorithms 20 20 20 80 03 -- -- 100


Course Prerequisite:

ECC303 Digital System Design
ECC404 Signals & Systems
ECC502 Discrete Time Signal Processing
ECC503 Digital VLSI Design
ECM601 Mini Project 2B - FPGA based Project

Course Objectives:

1. To describe the characteristics of computationally intensive algorithms
2. To identify the bottlenecks of intensive computations.
3. To learn various techniques to map DSP algorithms on hardware to improve performance.

Course Outcome:

After suc cessful completion of the course students will be able to

CO1: Explain various typical DSP algorithms and their applications
CO2: Describe various methodologies/techniques to map DSP algorithms on Hardware
CO3: Analyze various hardware architectures avail able to implementation DSP algorithms
CO4: Evaluate and select efficient hardware architecture for implementation of given DSP algorithm.
CO5: Design/propose hardware architecture for effective implementation of given DSP algorithm.

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Module
No. Unit
No. Topics Hrs
1 Introduction to DSP Systems 06
1.1 Typical DSP Algorithms, Graphical representation of DSP Algorithms

1.2 Signal flow graph (SFG), data flow graph (DFG) and dependence graph (DG), high level
transformation, critical path
2 Efficient Algorithm to Architecture Mapping 07
2.1 Design of N -bit incrementer, decrementer, complimenter ,
2.2 Techniques to enhance circuit performance, pipelining and parallel processing, circuit
design for N bit natural numbers, optimized circuit design for different functions
3 Efficient Adder Architecture 07
3.1 Introduction to Adder design, Variable Block Adder circuit design, Delay optimized Carry
Look Ahead Adder
3.2 Carry Select Sum Adder, Conditional Sum Adder, Ling’s Adder
3.3 Prefix and Parallel prefix adders, Running Average Circuit
4 Efficient Multiplier Design 07
4.1 Array Multiplier ,Signed and Unsigned Multiplier ,Booths Multiplier , Bough -Wooley
Multiplier
4.2 Architecture of Squaring Circuit, Reconfigurable Constant Multiplier Design
5 DSP Architecture Design 06
5.1 Floating point representation IEE754, floating point operations -2’s compliment
representation, adder, subtractor, multiplier
5.2 CORDIC Architecture, FFT Architecture, FIR filter
6 Efficient Design of Machine Learning Hardware 06
6.1 Artificial Intelligence and Machine Learning, Software and Co -design Optimizations,
Pruning, Systolic array convolution
6.2 Hardware -Level Techniques, RTL design of sum of differences, Energy efficient hardware
accelerator design methodology for Neural Networks
Total 39
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Textbooks:

1. VLSI Digital Signal Processing Systems Design and Implementation – Khesab Parhi
2. COMPUTER ARITHMETIC Algorithms and Hardware Designs -Behrooz Parhami
3. Machine Learning in VLSI -Ibrahim (Abe) M. Elfadel, Duane S. Boning, Xin Li
Computer -Aided Design

Reference Books:

1. Bill Franks, ―Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams
with Advanced Analytics‖, Wiley
2. Chuck Lam, ―Hadoop in Action‖, Dreamtech Press

E-Resources:

1. https://nptel.ac.in/courses/108105118
2. https://nptel.ac.in/courses/108106149
3. https://nptel.ac.in/courses/108105157

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentione d in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in natu re and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Page 21

Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7012 Deep
Learning 03 -- -- 03 -- -- 03


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.
ECCDLO
7012 Deep
Learning 20 20 20 80 03 -- -- 100



Course Pre -requisite:

1. ECC 604 -Artificial Neural Networks and Fuzzy logic

Course Objectives:

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

1. Learn how to use TensorF low for building and testing Deep Learning models
2. Compare various CNN architectures
3. Know the importance of Regularisation and Optimization techniques in Deep Learning networks
4. Learn Deep Learning models for working with sequential data
5. Understand motivation and functioning of the most common types of Autoencoders and apply such
mechanisms to various learning problems.

Course Outcomes:

After successful completion of the course student will be able to:

1. Understand the fundamentals of Deep Learning
2. Understand the concepts of Tensor Flow, its main functions, operations and the execution pipeline
3. Improve deep learning models using Regularization and Optimization techniques
4. Compare the Convolution Neural Network architecture s and use them as per the application
5. Design and implement Sequence Neural Network systems and solve real -world problems
6. Illustrate the working of Auto encoders and use them for real-life applications










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Page 22

Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Deep learning 03
1.1 History of Deep Learning - A Probabilistic Theory of Deep Learning
1.2 Introduction to Deep Feedforward Network s, Gradie nt Based Learning, Hidden
Units
1.3 Architecture Design, Back propagation Algorithm
2.0 Tensor Flow for Deep learning 06
2.1 Introduction to TensorFlow using Python : Computational Graph, K ey
Highlights, Creating a Graph
2.2 Regression ex ample, Gradient Descent, Tensor Board, Modularity, Sharing
Variables, Keras
2.3 Preprocessing and Data A ugmentation of Images and Datasets using
TensorFlow
3.0 Regularization and Optimization Techniques 06
3.1 Regularization : Need of Regularization, L2 Regularization, L1
Regulari zation, Early Stopping and Drop out
3.2 Optimization: Challenges in NN Optimization, Gradient Descent Approaches,
Parameter Initialization Approach, Adaptive Approach es - AdaGrad, RMSProp
and Adam
3.2 Introduction to Batch Normalization
4.0 Evolution of CNN in Deep Learning 08
4.1 Review of CNN Architecture, Introduction of various CNN Architectures:
LeNet, AlexNet, VGG, GoogleNet, ResNet and UNet
4.2 Comparison of CNN Architectures, Evaluation Parameters
4.3 Applications of CNN in Image Classification and Object Detection
5.0 Sequence Modeling 08
5.1 Recurrent and Recursive Nets: Recurrent Neural Networks, Bidirectional
RNN , Encoder Decoder Architectures
5.2 Introduction to Long Short -Term Memory (LSTM) and Temporal
Dependencies
5.3 Gated Recurrent Units (GRUs)
5.4 Applications of RNN in Real World- Image Captioning and Time Series
Forecasting and Prediction
6.0 Encoder Decoder Models 08


6.1 Auto encoder: Encoder -Decoder Model, Training & Learning Manifold Space
6.2 Regularized Auto encoders: Sparse, De -noising and Contractive
6.3 Deep Auto encoder: Architecture and Working
6.4 Variational Autoencoders: Limitations of Auto encoders, Loss Function, Re -
parameterization Trick, Latent Space Visualization
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6.5 Applications of Autoencoders and Variational Auto encoders -Dimensionality
Reduction , Image De-noising and Compression
Total 39
Self-learning Topics ***:
Deep learning applications in Object Localization, Video Classification, Content based Image
Retrieval , Recommender System, End -to-End Speech Recognition and Machine Translation
*** No questions to be as ked in exams.


Text Books:
1. Charu C. Aggarwal , Neural Networks and Deep Learning , Springer International
Publishing, 2018.
2. Ian Goodfellow , Yoshua Bengio and Aaron Courville , Deep Learning , MIT Press ,
2016 .

Reference books
1. Christopher M. Bishop, Pattern Recognition and Machine Learning , Springer -
Verlag, 2006 .
2. Duda, Richard, Peter Hart, and David Stork , Pattern Classification , 2nd edition,
Wiley -Interscience, 2000.
3. Michael Nielsen, Neural Networks and Deep Learning , Determination Press,
2015.
4. Reza Zadeh, Bharath Ramsundar , TensorFlow for Deep Learning, 1st edition,
O'Reilly Media Inc, 2018 .
5. Zaccone, Giancarlo, Deep Learning with TensorFlow, 2nd edition, Packt
Publishing, 2018.

NPTEL / Swayam Course s:

1. NPTEL course on Deep learning by Prof. Sudarshan Iyengar, IIT Ropar .
https://nptel.ac.in/courses/106/106/106106184/
2. NPTEL course on Deep learning by Prof. Prabir Kumar Biswas, IIT Kharagpur .
https://nptel.ac.in/courses/106/105/106105215/
3. NPTEL Course on Practical Machine Learning with TensorFlow by Prof.
Balaraman Ravindran , IIT Chennai .
https://nptel.ac.in/courses/106/106/106106213/

Online Resources:

1. https://www.tensorflow.org/tutorials/images/data_augmentation
2. https://towardsai.net/p/machine -learning/improving -artificial -neural -network -
with-regularization -and-optimization
3. https://toward sdatascience.com/regularization -techniques -for-neural -networks -
e55f295f2866
4. https://www.kaggle.com/sid321axn/regularization -techniques -in-deep -learning
5. https://medium.com/@minions.k/optimization -techniques -popularly -used-in-
deep -learning -3c219ec8e0cc
6. https://www.jeremyjordan.me/variational -autoencoders/



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Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be
conducted on approximately 40% of the syllabus and IA -2 will be based on remaining
contents (approximately 40% syllabus but excluding contents covered in IA -I). Duration o f
each test shall be one hour. Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to
number of respective lecture hours mentione d in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -
questions will be asked.
3. Remaining questions will be mixed in natu re and randomly selected from all the modules.
4. Total 04 questions need to be attempted .
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Page 25

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLOC
7013 Cloud
Computing and
Security 03 -- -- 03 -- -- 03

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.
ECCDLOC
7013 Cloud
Computing
and Security 20 20 20 80 03 -- -- 100


Course Pre-requisite:

Computer Communication Network
Digital Encryption System

Course Objectives:

1. Understand the fundamentals of cloud computing .
2. Appreciate the importance of virtualization in cloud computing
3. Understand various cloud computing services and platforms
4. Understand application design concepts in cloud
5. Understand the security aspects of cloud computing
6. Understand the advances in cloud computing
Course Outcome:
After successful completion of the course student will be able to :-
1. Explain the fundamentals of cloud computing.
2. Interpret the significance of virtualization in the context of cloud computing
3. Describe cloud computing services working on AWS, Azure and Google cloud platforms
4. Explain application design as pects of cloud computing
5. Interpret security aspects to cloud computing.
6. Explain advances in cloud computing in terms of multimedia cloud, fog, edge computing and real
applications of cloud.


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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Cloud 04
1.1 Introduction to Cloud Computing, Cloud Characteristics, Cloud Computing
Components, Comparing of Cloud Computing with Peer to Peer architecture, Client
Server , Distributed, Grid, Cloud Deployment model (Cloud types - Public, Private,
Community, Hybrid), Service Models -( IaaS,PaaS,SaaS,)
2.0 Virtualization 07
2.1 Introduction & benefit of Virtualization –
Implementation Levels of Virtualization - VMM Design Requirements and Providers
– Virtualization at OS level – Middleware support for Virtualization – Virtualization
structure/tools and mechanisms: Hypervisor and Xen Architecture, Binary
Translation with full Virtualization, Para Virtualization with Compiler Support -
Virtualization of CPU, Memory and I/O Devices, H ardware support for Virtualization
in intel x86 processor – CPU Virtualization – MemoryVirtualization and I/O
Virtualization – Virtualization in Multicore processors


3.0 Cloud Computing Services 10
3.1 Compute Services - Amazon Elastic Compute Cloud, Google Compute Engine,
Windows Azure Virtual Machines
Storage Services - Amazon Simple Storage Service, Google Cloud Storage, Windows
Azure Storage
Database Services - Amazon Relational Data Store, Amazon DynamoDB, Google
Cloud SQL, Google Cloud Datastore, Windows Azure SQL Database, Windows
Azure Table Service
Application Services - Application Runtimes & Frameworks, Queuing Services,
Email Services, Notification Services, Media Services
3.2 Content Delivery Services - Amazon CloudFront, Windows Azure Content Delivery
Network
Analytics Services - Amazon Elastic MapReduce, Google MapReduce Service,
Google BigQuery, Windows Azure HDInsight
Deployment & Management Services - Amazon Elastic Bean stalk, Amazon
CloudFormation
Identity & Access Management Services - Amazon Identity & Access Management,
Windows Azure Active Directory
Open Source Private Cloud Software - CloudStack, Eucalyptus, OpenStack
4.0 Cloud Application Design 06
4.1 Design Considerations for Cloud Applications - Scalability, Reliability &
Availability, Security, Maintenance & Upgradation, Performance

4.2 Cloud Application Design Methodologies - Service Oriented Architecture, Cloud
Component Model, IaaS, PaaS and SaaS services for cloud applications, Model View
Controller, RESTful Web Services ,
Data Storage Approaches - Relational (SQL) Approach, Non -Relational (No -SQL)
Approach
5.0 Cloud Security 06
5.1 Security for Virtualization Platform – Host security for SaaS,
PaaS and IaaS – Data Security – Data Security Concerns –
Data Confidentiality and Encryption – Data Availability –Data Integrity – Cloud
Storage Gateways – Cloud Firewall
5.2 AAA Administration for Clouds -AAA model – SSO for Clouds – Authentication
management and Authorization management in clouds – Accounting for Clouds
Resource utilization.


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6.0 Cloud Computing Applications 06
6.1 Cloud Computing for Health care, Education, Transportation, Manufacturing
Industry, Energy System, Mobile Computing
6.2 Multimedia Cloud - Introduction, Streaming Protocols - RTMP Streaming, HTTP
Live Streaming, HTTP Dynamic Streaming
6.3 Case Studies - Live Video Streaming App , Video Transcoding App, Edge
Computing, FOG Computing
Total 39

Text books :

1. Cloud Computing - A Hands -on Approach - Arshdeep Bahga and Vijay K. Madisetti
2. Mastering Cloud Computing: Foundations and Applications Programming Paperback –
by Rajkumar Buyya , Christian Vecchiola , S.Thamarai Selvi , Publisher: Morgan
Kaufmann
3. Amazon Web Services For Dummies (For Dummies Series) Paperback
by Bernard Golden, Publisher: John Wiley & Sons
4. “The Cloud Computing Book: The Future of Computing Explained ” , Douglas E. Comer
5. Cloud Computing for Dummies , Judith Hurwitz Daniel Kirsch

Reference books
1. Cloud Computing Black Book : Kailash Jayaswal, Jagannath Kallakurchi, Donald J.
Houde, Dr. Deven Shah by Kogent Learning Solutions , Publisher : Dreamtech Press
2. Cloud Computing Concepts Technology a nd Architecture - Erl second hand book online
from UsedBooksFactory
3. Practical Cloud Security by Chris Dotson, Publisher(s): O'Reilly Media, Inc. ISBN:
9781492037514
4. AWS Whitepapers & Guides https://aws.a mazon.com/whitepapers/
5. Azure whitepapers https://azure.microsoft.com/en -in/resources/whitepapers/
6. Google Cloud whitepapers https://cloud.google.com/whitepapers

MOOC
1. NPTEL Swayam Course on Cloud computing By Prof. Soumya Kanti Ghosh
https://nptel.ac.in/courses/106/105/106105167/
2. Cloud Computing and Distributed Systems By Prof. Rajiv Misra
https://onlinecourses.nptel.ac.in/noc22_cs18/preview
3. Google Cloud Computing Foundation Course
https://nptel.ac.in/courses/106/105/106105223

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding cont ents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

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Page 28

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remainin g questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Page 29

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC DLO
7014 Big Data
Analytics 03 -- -- 03 -- -- 03

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.
ECC DLO
7014 Big Data
Analytics 20 20 20 80 03 -- -- 100

Course Prerequisite:
Basic knowledge of Database Management System

Course Objectives:
1. To Provide an Overview of an exciting growing field of Big Data Analytics.
2. To introduce the tools required to manage and analyze big data like Hadoop, NoSql, Map Reduce.
3. To teach the fundamental techniques in achieving big data analytics with scalability and streaming capability

Course Outcome:
After successful completion of the course student will be able to
1. Understand the key issues in big data management and its associated applications in intelligent bus iness and
scientific computing.
2. Acquire fundamental enabling techniques and scalable algorithms like Hadoop, MapReduce and NoSQL in big
data analytics.
3. Interpret business models and scientific computing paradigms, and apply software tools for big dat a analytics.
4. Achieve adequate perspectives of big data analytics in various applications like recommender systems , social
media applications etc
5. Develop applications for Big Data analysis using Hadoop and NoSQL etc.












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Module
No. Unit
No. Topics Hrs
1 Introduction to Big Data Analytics 03
1.1 Introduction to Big Data, Big Data characteristics, Types of Big Data, Traditional vs. Big
Data a business approach
1.2 Technologies Available for Big Data, Infrastructure for Big Data, Big Data Challenges, Case
Study of Big Data Solutions.
2 Hadoop 05
2.1 Introduction to Hadoop. Core Hadoop Components, Hadoop Ecosystem -Apache HBase,
Hive, HCatalog, Pig, Mahout, Oozie, Zookeeper, Sqoop, Physical Architecture, Hadoop
limitations.
3 NoSQL 06
3.1 Introduction to NoSQL, NoSQL business drivers, NoSQL database case studies.
3.2 NoSQL data architecture patterns: Key -value stores, Graph stores, Column family
(Bigtable) stores, Document stores, Variations of NoSQL architectural patterns
3.3 Using NoSQL to manage big data: What is a big data NoSQL solution? Understanding the
types of big data problems; Analyzing big data with a shared -nothing architecture; Choosing
distribution models: master -slave versus peer -to-peer; Four ways that NoSQL systems handle
big data problems
Managing MongoDB database with CRUD operations.
4 MapReduce 06
4.1 MapReduce and The New Software Stack: Distributed File Systems, Physical Organization
of Compute Nodes, Large Scale File -System Organization.
4.2 MapReduce: The Map Tasks, Grouping by Key, The Reduce Tasks, Combiners, Details of
MapReduce Execution, Coping With Node Failures
4.3 Algorithms Using MapReduce: MapReduce WordCount Program,
Matrix -Vector Multiplication by MapReduce , Relational -Algebra Operations by
MapReduce, Matrix Operations,
Matrix Multiplication by MapReduce.
5 Techniques in Big Data Analytics 13
5.1 Finding Similar Item: Nearest Neighbor Search, Similarity of Documents, Distance Measures:
Euclidean, Jaccard , Cosine , Edit and Hamming Distance with its Examples
5.2 Mining Data Streams: Data Stream Management Systems, Data Stream Model, Examples of
Data Stream Applications: Sensor Networks, Network Traffic Analysis
Filtering streams: The Blooms filter.
5.3 Link Analysis: PageRank Definition, Structure of the web, dead ends, Using Page rank in a
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search engine, Efficient computation of Page Rank: Page Rank Implementation Using
MapReduce
5.4 Frequent Itemset Mining: Market -Basket Model, Apriori Algorithm, Algorithm of Park -
Chen -Yu
6 Big Data Analytics Applications 06
6.1 Recommendation Systems: Introduction, A Model for Recommendation Systems:
Collaborative -Filtering System, Content based system and its Examples.
6.2 Mining Social -Network Graphs: Social Networks as Graphs, Types of Social -Network.
Clustering of Social Graphs: Applying Standard Clustering Techniques, Counting triangles
using MapReduce.
Total 39

Textbooks:
1. Radha Shankarmani and M Vijayalakshmi ―Big Data Analytics‖, Wiley
2. Alex Holmes ―Hadoop in Practice‖, Manning Press, Dreamtech Press.
3. Dan McCreary and Ann Kelly ―Making Sense of NoSQL – A guide for managers and the rest of us,
Manning Press.
Reference Books:
1. Bill Franks, ―Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with
Advanced Analytics‖, Wiley
2. Chuck Lam, ―Hadoop in Action‖, Dreamtech Press

E-Resources:
1. https://www.analyticsvidhya.com/blog/2014/05/hadoop -simplified
2. https://www.analyticsvidh ya.com/blog/2014/05/introduction -mapreduce/
3. https://www.pdfdrive.com/big -data-analytics -a-hands -on-approach -e158549112.html
4. https://www.pdfdrive.com/data -science -and-big-data-analytics -e58447171.html
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Page 32

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLOC
7015 Software
Defined Radio 03 -- -- 03 -- -- 03

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.
ECCDLOC
7015 Software
Defined
Radio 20 20 20 80 03 -- -- 100

Prerequisites:
 Computer Communication and Networks
 Mobile Communication Systems

Course Objectives: The objective of this course is

1. To introduce fundamental knowledge of Software Defined Radio (SDR) and Cognitive Radio
(CR) technology in next generation networks.
2. To introduce the hardware and software requirements and design aspects of CR
3. To introduce the architecture, spectrum sensing, spectrum awareness and allocation in CR
networks.
4. To introduce the various standards available in CR technology and GNU platform for
experimentation.

Course Outcomes: After learning the course the students will be able to demonstrate the ability

1. To Learn the hardware and software architecture and various design principles of SDR
2. To understand challenges of receiver design and se lect suitable hardware and software for SDR.
3. To understand the functions, components and challenges of CR technology for better spectrum
exploitation.
4. To analyze various spectrum sensing techniques in CR environment.
5. To understand and apply the techniques of dynamic spectrum allocation and scheduling in CR
based networks.
6. To understand various standards of CR Technology and its role in next generation networks and
GNU platform.


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Page 33

Module
No Unit
No. Topic No. of
Hrs
1 Software Defined Radio 5
1.1 Basic components of Software Defined Radios, Software defined radio hardware
architectures
1.2 Distortion parameters - Sources and metrics of distortion in a transceiver,
Nonlinear distortion and nonlinearity specifications, Power amplifiers: Nonlinear
Distortion in Transmitted Signals
2 SDR Architecture and Components 8
2.1 Power amplifier Line -up for linearity & power requirement calculations,
Linearization Techniques for nonlinear distortion in SDR, Pre distortion
Techniques for nonlinear distortion in SDR
2.2 Digital Pre distortion Techniques for Linear/Nonlinear Distortion
2.3
SDR Software architecture, Software Tunable Analog Radio Components
2.4 Antenna Systems, Reconfigurable Digital Radio Technologies, Basic Digital
Radio Components
3 Cognitive Radio 6
3.1 Cognitive radio features and capabilities :
Cognitive radio architecture
Functions of cognitive radio
Dynamic spectrum access , Components of cognitive radio Interference
temperature ,Spectrum sensing
Spectrum analysis and spectrum decision
3.2 Research challenges in Cognitive Radio:
Issues in spectrum sensing, Spectrum management issues
Spectrum mobility issues , Network layer and transport layer issues, Cross -layer
design for cognitive radio networks , Artificial intelligence approach for
designing cognitive radio, Location -aware cognitive radio
4 Spectrum Sensing for Cognitive Radio 6
4.1 Challenges, Matched Filtering, Waveform -Based Sensing, Cyclostationarity -
Based Sensing, Energy Detector -Based Sensing, Radio Identification,
Cooperative Sensing, External Sensing, Statistical Approaches and Prediction.
4.2 Sensing Frequency, Hardware Requirements and Approaches, Multi -
dimensional Spectrum Awareness
5 Dynamic spectrum access and management in Cognitive Radio 8
5.1 Spectrum access models : Exclusive -use model , Shared -use model Spectrum
commons model
5.2 Dynamic spectrum access architecture :
Infrastructure -based versus infra structure less cognitive
radio network Centralized versus distributed dynamic spectrum access
Inter - and intra -RAN dynamic spectrum allocation
5.3 Medium access control for dynamic spectrum access :
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Page 34

Recommended Books:
1. Huseyin Arslan, “Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems”,
Springer, 2007
2. Ekram Hossain, Dusit Niyato, Zhu Han, “Dynamic Spectrum Access and Management in
Cognitive Radio Networks”, Cambridge University Press, 2009
3. Bruce Fette, “Cognitive radio technology”, Elsevier, 2nd edition, 2009.

4 Alexandar M Wylingskey, Maziar Nikovee, Y Thomas Hou, “ Cognitive Radio Communications and
Networks Principles and Practice”, Els evier, 2010

REFERENCES:

1. Kwang -Cheng Chen, Ramjee Prasad, “Cognitive radio networks”, John Wiley & Sons Ltd.,
2009.

2. Francisco Rodrigo Porto Cavalcanti, Soren Andersson, “Optimizing Wireless Communication
Systems” Springer, 2009.

3. Linda Doyle, “Essentials of Cognitive Radio”, Cambridge University Press, 2009.

E-Resources:
1. NPTEL: https://nptel.ac.in/courses/108/107/108107107/
2. GNU Radio: https://www.gnuradio.org/
https://wiki.gnuradio.org/index.php/Tutorials
http://www.gcndevelopment.com/gnuradio/downloads.html



Optimal decision on spectrum sensing and spectrum access
Multichannel and multiuser MAC
Spectrum allocation and scheduling, Spectrum trading
Performance analysis of cognitive MAC protocols
6 Advanced topics in Cognitive Radio 6
6.1 Cognitive radio architectures for NeXt Generation (XG) networks
6.2 Cognitive radio standardization : IEEE SCC 41 , IEEE 802.22 for wireless
regional area networks (WRANs)
6.3 GNU Radio for cognitive radio experimentation
Total 39
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Page 35

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
University of Mumbai-R2019-C-Scheme-Final Year Electronics and Telecommunication Engineering 33 of 131

Page 36

Course
Code Course
Name Teaching Scheme
(Contact Hours ) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7021 Robotics 03 -- -- 03 -- -- 03


Course
Code
Course
Name Examination Scheme
Theory Marks Exam
Duration
(in Hrs.) Term
Work Practical
And
Oral Total
Internal assessment End
Sem.
Exam Test 1 Test 2 Avg.
of
Test 1
and
Test 2
ECCDLO
7021 Robotics 20 20 20 80 03 -- -- 100

Course Prerequisite: -
Course Objectives:
1. To introduce the functional elements of Robotics
2. To impart knowledge on the direct and inverse kinematics
3. To introduce the manipulator differential motion and control
4. To educate on various path planning techniques
5. To introduce the dynamics and control of manipulators
6. To st udy about the localization, planning and navigation
Course Outcomes :
After successful completion of the course students will be able to
 Explain basic concept of robotics.
 Describe the differential motion, add statics in robotics
 Describe the various path planning techniques.
 Describe the dynamics and control in robotics industries.
 Write program to use a robot for a typical application
 Use Robots in different applications













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Page 37

Module
No. Unit
No. Topic s Hrs.
1. BASIC CONCEPTS
3 1.1 Brief History
1.2 Types of Robot –Technology -Robot classifications and specifications
1.3 Design and Control issues
1.4 Various manipulators
1.5 Sensors , work cell
1.6 Programming languages
2. DIRECT AND INVERSE KINEMATICS
8 2.1 Mathematical representation of Robots - Position and orientation
2.2 Homogeneous transformation Various joints, Degrees of freedom
2.3 Representation using the Denavit Hattenberg parameters
2.4 Direct kinematics -Inverse kinematics
2.5 Solvability – Solution methods -Closed form solution
2.6 SCARA robots -
3. PATH PLANNING
8 3.1 Joint space technique
3.2 Use of p -degree polynomial, Cubic polynomial, Cartesian space technique
3.3 Parametric descriptions
3.4 Straight line and circular paths
3.5 Position and orientation planning
4. DYNAMICS AND CONTROL
7 4.1 Lagrangian mechanics
4.2 2DOF Manipulator
4.3 Lagrange Euler formulation
4.4 Dynamic model
4.5 Manipulator control problem -Linear control schemes -PID control scheme -
Force control of robotic manipulator
5. SERVICE ROBOTICS
7 5.1 Need for service robots
5.2 LOCALIZATION: Challenges of Localization - Map Representation -
Probabilistic Map based Localization Monte carlo localization - Landmark
based navigation -Globally unique localization - Positioning beacon
systems - Route based localization
5.3 PLANNING AND NAVIGATION: Path planning overview, Cell
decomposition path planning Potential field path planning -Obstacle
avoidance
6. APPLIC ATIONS
6 6.1 Ariel robots
6.2 Collision avoidance
6.3 Robots for agriculture, mining, exploration, underwater, civilian and
military applications, nuclear applications, Space applications
6.4 Humanoids
Total 39

Text Books:
1. R.K.Mittal and I.J.Nagrath, Robotics and Control, Tata McGraw Hill, New Delhi,4th Reprint,
2005.
2. JohnJ.Craig ,Introduction to Robotics Mechanics and Control, Third edition, Pearson
Education, 2009.
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3. M.P.Groover, M.Weiss, R.N. Nageland N. G.Odrej, Industrial Robotics, McGraw -Hill
Singapore, 1996.
4. Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza, „Introduction to Autonomous
Mobile Robots”, Bradford Company Scituate, USA, 2004
Reference Books:
1. Ashitava Ghoshal, Robotics -Fundamental Concepts and Analysis’, Oxford University Pres s,
Sixth impression, 2010.
2. K. K.Appu Kuttan, Robotics, I K International, 2007.
3. Edwin Wise, Applied Robotics, Cengage Learning, 2003.
4. B.K.Ghosh, Control in Robotics and Automation: Sensor Based Integration, Allied
Publishers,Chennai, 1998
5. Riadh Siaer, „Th e future of Humanoid Robots - Research and applications, Intech Publications,
2012.
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentione d in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in natu re and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7022 5G Technology 03 -- -- 03 -- -- 03

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.
ECCDLO
7022 5G
Technology 20 20 20 80 03 -- -- 100

Course pre -requisite:

Digital Communication
Mobile Communication Systems

Course Objectives:
1. Learn the basics of 5G and beyond wireless communication
2. Study 5G network architecture and Heterogeneous Network and Small cells
3. Provide understanding of the key technologies and enablers of 5G and beyond communication systems.
4. Learn 5G technology like massive MIMO , mmWave etc.
Course Outcome:

After successful completion of the course student will be able to :
1. Distinguish between the major cellular communication standards (1G/2G/3G/4G/5G systems) and architecture
of wireless communications networks.
2. Apply the 5G techniques e.g., massive MIMO , mmWave etc. for the design of communication systems.
3. Analyse various modulation and multiplexing techniques e.g., OFDM, NOMA etc.
4. Describe applications of cognitive radio in 5G Wireless C ommunications.








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Module
No. Unit
No. Topics Hrs.
1 Introduction 04
1.1 Introduction to 5G Technology, Features, Requirements, Applications, 5G Services,
Introduction to 5Gi
1.2
Digital modulations (OFDM, 5G Technology Modulation Techniques) and
performance metrics, 5G Internet, Internet of Things and Context‐Awareness, Software
Defined Networking, Network Function Virtualisation (NFV)
2 5G Architecture 08
2.1
5G Network Architecture, Cloud RAN(C -RAN), Definitions of Heterogeneous
Networks, Radio Resource and Interference Management for Heterogeneous Networks,
Traffic offloading scenarios for heterogeneous networks, mobility management and
handover
2.2
Small cell deployments: different types, Deployment scenarios, performance and
analysis, Energy efficient mechanism with BS sleep mode in green small cell networks,
Game theory and learning techniques for self -organization in small cell networks, 3GPP
RAN standards for small cell
3 Mm Wave 08
3.1
mmWave: Millimeter bands, radio -wave propagation Physical layer design and
algorithms, mmWave MIMO challenges, channel modelling, channel estimation and
Beam -forming. Types of transceivers, Merits and Demerits, Applications
3.2 Physical or Radio layer Technologies - Massive MIMO (Sub 6Ghz) -mm wave
MIMO (above 6 GHz)
4 NOMA 05

Non orthogonal Multiple Access (NOMA) , Different Types : power domain NOMA and
code domain NOMA , Difference between Orthogonal multiple access and NOMA,
Filter Bank multi carrier -Full duplex Radio Techniques, Precoding



5 Cognitive Radio for 5G Wireless Networks 08
5.1
Introduction, Overview of Cognitive Radio Technology in 5G Wireless, Spectrum
Optimisation using Cognitive Radio, Cognitive Radio and Carrier Aggregation, Energy‐
Efficient Cognitive Radio Technology
5.2
Cognitive Radios to Mitigate Interference in Macro/femto Heterogeneous Networks,
Cognitive Radio enabled Operations, Interference Coordination: Orthogonality in the
Time/Frequency domain, Intra -tier Interference mitigation, Compressive sensing
6 Trends in 5G 06

5G NR , Carrier Aggregation in 5G , Open RAN , Use cases of 5G:eMBB, URLLC and
mMTC , Advance applications: Robotic surgery, driverless car and Industrial IoT
(IIoT) , Tactile Internet, 5G -IoT applications, AR/VR in 5G
Total 39
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Text books :

1. Principles of Modern Wireless communication systems by Aditya k Jagannathan
2. Robert W. Heath, Robert C. Daniel, James N. Theodore S. Rappaport, Murdock, "Millimeter
Wave Wireless Communication", Prentice Hall, 2014.

Reference books
1. R. Vannithamby and S. Talwar, Towards 5G: Applications, Requirements and Candidate
Technologies., John Willey & Sons, West Sussex, 2017.
2. Manish, M., Devendra, G., Pattanayak, P., Ha, N., 5G an d Beyond Wireless Systems PHY Layer
Perspective, Series in Wireless Technology Springer, 2021
3. Alagan Anpalagan, Mehdi Bennis, Rath Vannithamby, Design and deployment of small cell
networks, Cambridge university press, 2015
4. Rose Qingyang Hu, Yi Qian , Hetero geneous Cellular Networks, John Wiley & Sons, Ltd.,
Publication, 2013
5. T. S. Rappaport, R. W. Heath Jr., R. C. Daniels, and J. M. Murdock, Millimeter Wave Wireless
Communication., Pearson Education, 2015.
6. M. Vaezi, Z. Ding, and H. V. Poor, Multiple Access t echniques for 5G Wireless Networks and
Beyond., Springer Nature, Switzerland, 2019

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
University of Mumbai-R2019-C-Scheme-Final Year Electronics and Telecommunication Engineering 39 of 131

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7023 Internet
Communication
Engineering 03 -- -- 03 -- -- 03

Course
Code Course Name Examination Scheme
Theory Marks Exam
Duration
(Hrs.) Term
Work Practical
and Oral Total
Internal Assessment End Sem.
Exam. Test
1 Test
2 Avg.
ECCDLO
7023 Internet
Communication
Engineering 20 20 20 80 03 -- -- 100

Course Pre -requisite:

• Analog communication
• Digital Communication
• Computer Communication and Networks
Course Objectives:

1. To focus on Internet protocol, standards, services and administration.
2. To discuss the Internet security protocol and security services
3. To discuss multimedia communication standards and compression techniques
4. To add insights on software defined network & network automation
5. To introduce Internet of Things
Course Outcomes:

After successful completion of the course student will be able to :

1. Compare the protocols at each layer of TCP/IP protocol suite.
2. Explain the internet security aspects of protocols at various layers of TCP/IP protocol suite.
3. Apply the various compression algorithms for audio, image & video coding .
4. Categorize and design simple networked multimedia systems.
5. Compare integrated & differentiated services for quality of service.
6. Explain a software defined Network.






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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Internet 03
1.1 What is the Internet, Evolution of the Internet, service description,
Network protocol?
1.2 Overview of TCP/IP, layer functions
2.0 Application Layer in the Internet 06
2.1 Application Layer - Host configuration, DHCP, Domain Name System
(DNS), Multicast DNS
2.2 Remote Login, TELNET and SSH, HTTPS, electronic mail
3.0 Internet Security 05
3.1 Network layer security (AH, ESP, IPsec)

3.2 Transport layer security (SSL), Application layer security (secure E mail -
PGP, S/MIME)
3.3 VPN Firewall, Intrusion Detection System.
4.0 Multimedia Communications 10
4.1 Information Representation - text, images, audio and video, Text and
image compression, Audio and video compression, video





4.2 compression standards: H.261, H.263, P1.323, MPEG 1, MPEG 2, Other
coding formats for text, speech, image and video
4.3 multimedia transport across IP networks and relevant protocols such as
RSVP, RTP, RTCP, DVMRP, Signalling Protocols: Real -Time Streaming
Protocol (RTSP).

4.4 VoIP, IPTV
5.0 Quality of Services (QoS) 07
5.1 Integrated services (intserv): Architecture and Service Model, Resource
Reservation Protocol (RSVP), Packet Scheduling Disciplines in the
Internet

5.2 Differentiated Services (diffserv): Framework and Concept, Assured and
Expedited Services, Packet Classification, Routers Internals and Packet
Dropping Techniques

6.0 Network Industry Trends & Automation 08
6.1 Introduction to software defined networking, OPENFLOW
6.2 Why network automation? Simplified Architectures, Deterministic
outcomes, Business Agility, Types of network automation, Device
Provisioning, Data collection, Migrations, Configuration Management,
Compliance, Reporting, Troubleshooting, Evolving from the management
plane from SNMP to device APIs --- Impact of open networking, Network
Automation in the SDN era.
6.3 Introduction to Internet of Things (IoT): Definition and characteristics of
IoT, Physical design of IoT: Things in IoT, IoT Protocols.
Total 39

Text Books:
1. B. Forouzan, ―TCP/IP Protocol Suite ‖, 4th Edition, McGraw -Hill Publication
2. K. R. Rao, Zaron S. Bojkovic, Dragorad A. Milocanovic, Multimedia Communication
Systems, Prentice Hall India, 2002. ISBN: 81 -203-2145 -6.
3. Network Programmability & Automation ---Jason Edelman, Scott S. Lowe & Matt
Oswalt, OREILLY .
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References:
1. Steve Heath, Multimedia and Communication Technology, Second Edition, Focal
Press, 2003.
2. ISBN: 81 -8147 -145-8. Ted Wallingford, ―Switching to VoIP ‖, Oreilly Publication
3. Fred Halsall, ―Multimedia Communications ‖, Pearson education, 2001
4. K. R. Rao, Zoran S. Bojkovic, Dragorad A. Milovanovic, ―Multimedia
Communication Systems ‖, Pearson education, 2004
5. Raif steinmetz, Klara Nahrstedt, ―Multimedia: Computin g, Communications and
Applications ‖, Pearson education, 2002
6. Tay Vaughan, ―Multimedia: Making it Work ‖, 6th edition, Tata McGraw Hill, 2004
7. Pallapa Venkataram, ―Multimedia information systems ‖, Pearson education
(InPress),2005.
8. Multimedia Communication Techniques and Standards
9. Arshdeep Bagha, Vijay Madisetti “Internet of Things ”, universities Press.




Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
University of Mumbai-R2019-C-Scheme-Final Year Electronics and Telecommunication Engineering 42 of 131

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7024 Advanced
Digital Signal
Processing 03 -- -- 03 -- -- 03


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.
ECCDLO
7024 Advanced
Digital Signal
Processing 20 20 20 80 03 -- -- 100


Course Pre -requisite:

ECC 502 Discrete -Time Signal Processing

Course Objectives:

1. To develop a thorough understanding of power spectrum estimation and different models for the same.
2. To apply optimum linear filters, linear prediction, and adaptive filtering techniques for signal processing
applicat ions.
3. To process multi -rate data.
4. To develop multi -resolution analysis using wavelets.

Course Outcomes:

After successful completion of the course student will be able to:
1. Illustrate parametric and non -parametric techniques of power spectrum estimation.
2. Explain optimum linear filters and their different forms.
3. Perform linear estimation and prediction of discrete time signals.
4. Implement various types of adaptive filters for the given applications.
5. Design interpolator, decimator and sampling rate convertors for multi -rate signal processing.
6. Apply concepts of wavelets and filter banks for signal processing applications.




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Module
No. Unit
No. Topics Hrs.
1.0 Power Spectrum Estimation 09
1.1 Principle of Power Spectrum Estimation
1.2 Non Parametric Method of Power Spectrum Estimation: Modified Periodogram,
Bartlett ’s Method, Welch ’s Method, Blackman -Tukey Method
1.3 Parametric Methods for Power Spectrum Estimation: Relationships between the
Autocorrelation and the Model Parameters, AR, MA & ARMA Models
1.4 Introduction to Least -Squares Method for the AR Model Parameters and Yule -Walker
Method for the AR Model Parameters
2.0 Optimum Linear Filters 03
2.1 Wiener Filters
2.2 FIR Wiener Filter (Wiener -Hopf filter)
2.3 IIR Wiener filter (Non -Causal and Causal IIR Wiener Filter)
2.4 Orthogonality Principle in Linear Mean -Square Estimation
3.0 Linear Prediction 05
3.1 Forward and Backward Linear Prediction
3.2 Solution of Normal Equation (Levinson -Durbin and Schur Algorithm)
3.3 AR Lattice and ARMA Lattice Ladder Filters
3.4 MMSE Estimation
3.5 Introduction to Kalman Filter, Matched Filter
4.0 Adaptive Filters 07
4.1 Adaptive Algorithms: LMS Algorithm, NLMS Algorithm, RLS Algorithm, Lattice
Ladder Algorithm
4.2 Applications of Adaptive Filters: System Identification, Adaptive Channel
Equalization, Echo Cancellation, Adaptive Noise Cancellation
Self-Study : Suppression of Narrowband Interference in Wideband Signals, Adaptive
Array
5.0 Multi -rate Signal Processing 08
5.1 Introduction to Multi -rate Signal Processing
5.2 Interpolation and Decimation, Sampling Rate Conversion by Non-integer Factor
5.3 Multistage Interpolation and Decimation
5.4 Polyphase Decomposition
5.5 Filter Banks: Quadrature Mirror Filter Banks
Self-Study : Subband Coding
6.0 Introduction to Wavelets 07
6.1 Limitations of Fourier Transform and Short Time Fourier Transform, Introduction to
Time-Frequency Tiling
6.2 Multi -resolution analysis using Discrete Time Wavelet Transform: Haar MRA,
Analysis of two band dyadic filter banks, Frequency response of the Haar Filter Bank
6.3 Introduction to Daubechies Wavelets
6.4 Application of Wavelet theory to Signal Denoising (Soft and Hard Thresholding)
Self-Study: Signal Compression, Image Compression
Total 39
Note: No questions will be asked in the end sem ester exam from self -study topics. However, students are
encouraged to explore these topics for better understanding of the subject.
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Textbooks :
1. John G. Proakis, Dimitris K. Manolakis, “Digital Signal Processing Principles, Algorithms, and
Applications ”, Prentice -Hall, 4th Edition, 2012.
2. Simon Haykin, “Adaptive Filter Theory ”, Pearson Education, Fourth Edition, 2002
3. Martin Vetterli, Jelena Kovacev ic, “Wavelets and Subband Coding ”, Prentice -Hall, 1995.
4. Burrus, C. Sidney, Ramesh A. Gopinath, and Haitao Guo, "Introduction to wavelets and wavelet
transforms", Prentice Hall Inc. 1997"

Reference Books :
1. Emmanuel C. Ifeachor, Barrie W. Jervis, “Digital Signal Processing : A Practical Approach ”,
Pearson Education, 2008.
2. E. Chandrasekhar, V. P. Dimri, V. M. Gadre (Eds.), “Wavelets and Fractals in Earth System
Sciences ”, CRC Press, 2013.
3. Tarun Kumar Rawat, “Digital Signal Processing ”, Oxford University Press , 2014 .
4. K. Deergha Rao, M.N.S. Swamy, “Digital Signal Processing: Theory and Practice ”, Springer,
2018.
5. K. P. Soman, K.I. Ramchandran and N. G. Reshmi, “Insight into Wavelets: From Theory to
Practice", Third Edition PHI, 2010.
6. P. P. Vaidyanathan , “Multir ate Systems and Filter Banks ”, Prentice -Hall, 1993 .
7. Sanjit K. Mitra, “Digital Signal Processing: A Computer -Based Approach ”, McGraw Hill, 2011 .

NPTEL / Swayam Course:
1. “Estimation of Signals and Systems ” by Prof. S. Mukhopadhyay, IIT Kharagpur.
https://nptel.ac.in/courses/108/105/108105059/
2. “Adv. Digital Signal Processing - Multirate and wavelets ” by Prof. V. M. Gadre, IIT Bombay.
https://nptel.ac.in/courses/117/101/117101001/

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -1). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end-semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire sylla bus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4. Total 04 questions need to be attempted .
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Page 48

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
7025 Quantum
Computing 03 -- -- 03 -- -- 03

Course
Code Course
Name Examination Scheme
Theory Marks Exam
Dura tion
(Hrs.) Term
Work Practical
and Oral Total
Internal Assessment End Sem.
Exam. Test1 Test2 Avg.
ECCDLO
7025 Quantum
Computing 20 20 20 80 03 -- -- 100


Course pre -requisite:

ECC303 - Digital System Design
ECC301 -Engineering Mathematics -III
ECCDLO5014 - Data Structures and Algorithm
ECL404 -Skill Lab: Python Programming

Course Objectives:
1. To understand basics of quantum computing
2. To understand mathematics required for quantum computing .
3. To understand building blocks of quantum comput ing.
4. To understand quantum algorithms .
5. To understand quantum hardware principles .
6. To understand tools for quantum computing .

Course Outcome:
After successful completion of the course student will be able to : -
1. Explain basic concepts of quantu m computing
2. Explain mathematical fundamentals required for quantum computing .
3. Explain building blocks of quantum computing through architecture and programming models .
4. Explain quantum algorithms .
5. Explain quantum hardware building principles .
6. Explain usage of tools for quantum computing .















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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Quantum Computing 07
1.1 Motivation for studying Quantum Computing
1.2 Origin of Quantum Computing
1.3 Quantum Co mputer vs. Classical Computer
1.4 Introduction to Quantum mechanics
1.5 Overview of major concepts in Quantum Computing
Qubits and multi -qubits states
Bloch Sphere representation
Quantum Superposition
Quantum Entanglement
1.6 Major players in the industry (IBM, Microsoft, Rigetti, D -Wave etc.)
2.0 Math ematical Foundation s for Quantum Computing 05
2.1 Matrix Algebra: basis vectors and orthogonality, inner product and Hilbert
spaces, matrices and tensors, unitary operators and projectors, Dirac notation ,
Eigen values and Eigen vectors.
3.0 Building Blocks for Quantum Program 08
3.1 Architecture of a Quantum Computing platform
3.2 Details of q -bit system of information representation:
Block Sphere
Multi -qubits States Quantum superposition of qubi ts (valid and invalid
superposition)
Quantum Entanglement
Useful states from quantum algorithmic perceptive e.g. Bell State
Operation on qubits: Measuring and transforming using gates.
Quantum Logic gates and Circuit
No Cloning Theorem and Tel eportation
3.3 Programming model for a Quantum Computing Program
Steps performed on classical computer
Steps performed on Quantum Computer
Moving data between bits and qubits.
4.0 Quantum Algorithms and Error correction 06
4.1 Quantum Algorithms
Shor’s Algo rithm
Grover’s Algorithm
Deutsch’s Algorithm
Deutsch -Jozsa Algorithm


4.2 Quantum error correction using repetition codes
3 qubit codes
Shor’ s 9 qubit error correction Code
5.0 Quantum Hardware 10
5.1 Ion Trap Qubits
The DiVincenzo Criteria
Lagrangian and Hamiltonian Dynamics in a Nutshell : Dynamics of a Translating
Rotor
5.2 Quantum Mechanics of a Free Rotor: A Poor Person’s Atomic
Model : Rotor Dynamics and the Hadamard Gate , Two-Qubit Gates
The Cirac -Zoller Mechanism: Quantum Theory of S imple Harmonic Motion , A
Phonon -Qubit Pair Hamiltonian, Light -Induced Rotor -Phonon Interactions ,
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Text books:

1. Michael A. Nielsen, “Quantum Computation and Quantum Information”, Cambridge
University Press.
2. David McMahon, “Quantum Computing Explained”, Wiley ,2008
3. Qiskit textbook https://qiskit.org/textbook -beta/
4. Vladimir Silva, Practical Quantum Computing for Developers,2018
5. Bernard Zygelman, A First Introduction to Quantum Computing and Inf ormation,2018
6. Supriyo Bandopadhyay and Marc Cahy, “Introduction to Spintronics”, CRC Press, 2008.

Reference books

1. The Second Quantum Revolution: From Entanglement to Quantum Computing and Other
Super -Technologies, Lars Jaeger
2. La Guardia , Giuliano Gladio li “Quantum Error correction codes”Springer,2021

Trapped Ion Qubits , Mølmer -Sørenson Coupling ..
5.3 Cavity Quantum Electrodynamics (cQED) : Eigenstates of the Jaynes -Cummings
Hamiltonian
Circuit QED (cirQ ED): Quantum LC Circuits , Artificial Atoms , Superconducting
Qubits
5.4 Quantum computing with spins:
Quantum inverter realized with two exchange coupled spins in quantum dots, A
2-qubit spintronic universal quantum gate.
6.0 OSS Toolkits for impleme nting Quantum program 03
6.1 IBM quantum experience
6.2 Microsoft Q
Rigetti PyQuil (QPU/QVM)
Total 39
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining conte nts (approximately
40% syllabus but excluding contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semes ter examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus where in 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Page 51

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7011 Product Life
Cycle
Management 03 -- -- 03 -- -- 03


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.
ILO 7011 Product Life
Cycle
Management 20 20 20 80 03 -- -- 100

Objectives :
1. To familiarize the students with the need, benefits and components of PLM
2. To acquaint students with Product Data Management & PLM strategies
3. To give insights into new product development program and guidelines for designing
and developing a product
4. To familiarize the students with Virtual Product Development
Outcomes: Learner will be able to…
1. Gain knowledge about phases of PLM, PLM strategies and methodology for PLM
feasibility study and PDM implementation.
2. Illustrate various approaches and techniques for designing and developing products.
3. Apply product engineering guidelines / thumb rules in designing products for moulding,
machining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components,
machining and manufacturing plant

Module Detailed C ontents Hrs
01 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 m anagement for
PLM 10
02 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 Developm ent Process Planning Phase, Relation with the Post
design Planning Phase, Methodological Evolution in Product Design, Concurrent
Engineering, Characteristic Features of Concurrent Engineering, Concurrent Engineering 09
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and Life Cycle Approach, New Product Dev elopment (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
03 Product Data Management (PDM): Produc t 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
04 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
05 Integration of Environmental Aspects in Product Design: Sustainable Develop ment,
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 f or
Product Design 05
06 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 Cycl e Approach,
General Framework for LCCA, Evolution of Models for Product Life Cycle Cost
Analysis 05
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper . Minimum 80% 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.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) fr om module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. John Stark, “Product Lifecycle Management: Paradigm for 21st Century Product Realisation”,
Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, AntoninoRisitano, “Product Design for the environment -A life
cycle approach”, Taylor & Francis 2006, ISBN: 0849327229
3. SaaksvuoriAntti, ImmonenAnselmie, “Product Life Cycle Management”, Springer,
Dreamtech, ISBN: 3540257314
4. Mich ael Grieve, “Product Lifecycle Management: Driving the next generation of lean
thinking”, Tata McGraw Hill, 2006, ISBN: 0070636265
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7012 Reliability
Engineering 03 -- -- 03 -- -- 03


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.
ILO 7012 Reliability
Engineering 20 20 20 80 03 -- -- 100

Objectives :
1. To familiarize the students with various aspects of probability theory
2. To acquaint the students with reliability and its concepts
3. To introduce the students to methods of estimating the system reliability of simple and complex
systems
4. To understand the various aspects of Maintainability, Availability and FMEA procedure
Outcomes: Learner will be able to…
1. Understand and apply the concept of Probability to engineering problems
2. Apply various reliability concepts to calculate different reliability parameters
3. Estimate the system reliability of simple and complex systems
4. Carry out a Failure Mode Effect and Criticality Analysis

Module Detailed Contents Hrs
01 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
02 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 re liability analysis. 08
03 System Reliability : System Configurations: Series, parallel, mixed configuration, k out
of n structure, Complex systems. 05
04 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
05 Maintainability and Availability : System downtime, Design for Maintainability:
Maintenance requirements, Design methods: Fault Isolation and self -diagnostics, Parts 05
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standardization and Interchangeability, Modularization and Accessibility, Repair Vs
Replacement.
Availability – qualitative a spects.
06 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
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respec tive lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. L.S. Srinath, “Reliability Engineering”, Affiliated East -Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, “Reliability and Maintainability Engineering”, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, “Engineering Reliability”, 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 Engineering Design”, John Wiley & Sons.
6. Murray R. Spiegel, “Probability and Stat istics”, Tata McGraw -Hill Publishing Co. Ltd.


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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7013 Management
Information
System 03 -- -- 03 -- -- 03


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.
ILO 7013 Management
Information
System 20 20 20 80 03 -- -- 100

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

Module Detailed Contents Hrs
01 Introduction To Information Systems (IS): Computer Based Information Systems, Impact
of IT on organizations, Imporance of IS to Society. Organizational Strategy, Competitive
Advantages and IS. 4
02 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 7
03 Ethical issues and Privacy: Information Security. Threat to IS, and Security Controls 7
04 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. 7
05 Computer Networks Wired and Wireless technology, Pervasive computing, Cloud
computin g model. 6
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06 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. 8
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7014 Design of
Experiments 03 -- -- 03 -- -- 03


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.
ILO 7014 Design of
Experiments 20 20 20 80 03 -- -- 100

Objectives :
1. To understand the issues and principles of Design of Experiments (DOE)
2. To list the guide lines 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 experime nts

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
03 Two -Level Factorial Designs
3.1 The 22 Design
3.2 The 23 Design
3.3 The General 2k Design
3.4 A Single Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design, 07
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3.6 Blocking in the 2k Factorial Design
3.7 Split -Plot Designs
04 Two -Level Fractional Factorial Designs
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 Response Surface Methods and Designs
5.1 Introduction to Response Surface Methodology
5.2 The Method of Steepest Ascent
5.3 Analysis of a Second -Order Response Surface
5.4 Experimental Designs for Fitting Response Surfaces 07
06 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
6.3 Robust design examples 04
Total 39
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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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 Experime nts (Springer text in Statistics), Springer by A.M. Dean, and
D. T.Voss
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7015 Operations
Research 03 -- -- 03 -- -- 03


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.
ILO 7015 Operations
Research 20 20 20 80 03 -- -- 100

Objectives :
1. Formulate a real -world problem as a mathematical programming model.
2. Understand the mathematical tools that are needed to solve optimization problems.
3. Use mathematical software to solve the proposed models.
Outcomes: Learner will be able to…
1. Understand the theoretical workings of the simplex method, the relationship between a linear
program and its dual, including strong duality and complementary slackness.
2. Perform sensitivity analysis to determine the direction and magnitude of change of a mo del’s
optimal solution as the data change.
3. 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.
4. Understand the applica tions of integer programming and a queuing model and compute
important performance measures

Module Detailed Contents Hrs
01 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 c onstruction, 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 ba sic 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 Algo rithm, Processing of n Jobs Through Two Machines and m 14
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Machines, Graphical Method of Two Jobs m Machines 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.
02 Queuing models : queuing systems and structures, single server and multi -server models,
Poisson input, exponential service, constant rate service, finite and infinite population 05
03 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
04 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
05 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 poin t – mixed strategy for 2 X 2
games. 05
06 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks, EOQ with
Shortage, Probabilistic EOQ Model, 05
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers o f end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will b e mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.


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.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7016 Cyber Security
and Laws 03 -- -- 03 -- -- 03


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.
ILO 7016 Cyber
Security and
Laws 20 20 20 80 03 -- -- 100

Objectives :
1. To understand and identify different types cyber crime and cyber law
2. To recognized Indian IT Act 2008 and its latest amendments
3. To learn various types of security standards compliances
Outcomes: Learner will be able to…
1. Understand the concept of cyber crime and its effect on outside world
2. Interpret and apply IT law in various legal issues
3. Distinguish different aspects of cyber law
4. Apply Information Security Standard s compliance during software design and development

Module Detailed Contents Hrs
01 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. 4
02 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 Implic ations for Organizations,
Organizational Measures for Handling Mobile, Devices -Related Security Issues,
Organizational Security Policies and Measures in Mobile Computing Era, Laptops 9
03 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) 6
04 The Concept of Cyberspace
E-Commerce , The Contract Aspects in Cyber L aw ,The Security Aspect of Cyber Law
,The Intellectual Property Aspect in Cyber 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 Elec tronic Banking , The Need for an Indian Cyber Law 8
05 Indian IT Act. 6
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Cyber Crime and Criminal Justice : Penalties, Adjudication and Appeals Under the IT
Act, 2000, IT Act. 2008 and its Amendments
06 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination.
In question paper weightage of each module will be proportional to number of respe ctive lecture
hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



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 Informatio n 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


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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7017 Disaster
Management
and Mitigation
Measures 03 -- -- 03 -- -- 03


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.
ILO 7017 Disaster
Management
and
Mitigation
Measures 20 20 20 80 03 -- -- 100


Objectives:
1. To understand physics and various types of disaster occurring around the world
2. To identify extent and damaging capacity of a disaster
3. To study and understand the means of losses and methods to overcome /minimize it.
4. To understand role of individual and various organization during and after disaster
5. To understand application of GIS in the field of disaster management
6. To understand the emergency government response structures before, during and after
disaster
Outcomes: Learner will be able to…
1. Get to know natural as well as manmade disaster and their extent and possible effects on
the economy.
2. Plan of national importance structures based upon the previous history.
3. Get acquainted with government policies, acts and va rious organizational structure
associated with an emergency.
4. Get to k now the simple do’s and don’ts in such extreme events and act accordingly.

Module Detailed Contents Hrs
01 Introduction
1.1 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
02 Natural Disaster and Manmade disasters:
2.1 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
2.2 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Role of growing
population and subsequent industrialization, urbanization and changing lifestyle of
human beings in frequent occurrences of manmade disasters. 09
03 Disaster Management, Policy and Administration 06
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3.1 Disaster management: meaning, concept, importance, objective of disaster
management policy, disaster risks in India, Paradigm shift in disaster management.
3.2 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.
04 Institutional F ramework for Disaster Management in India:
4.1 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.
4.2 Use of Internet and softwares for effective disaster managem ent. Applications of GIS,
Remote sensing and GPS in this regard. 06
05 Financing Relief Measures:
5.1 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 th e
occurrence of various disasters, Ways to approach these teams.
5.2 International relief aid agencies and their role in extreme events. 09
06 Preventive and Mitigation Measures:
6.1 Pre -disaster, during disaster and post -disaster measures in some event s in general
6.2 Structural mapping: Risk mapping, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
6.3 Non Structural Mitigation: Community based disaster preparedness, risk transfer and
risk financ ing, capacity development and training, awareness and education,
contingency plans.
6.4 Do’s and don’ts in case of disasters and effective implementation of relief aids. 06
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 t he syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four ques tion need to be solved.

REFERENCES:
1. ‘Disaster Management’ by Harsh K.Gupta, Universities Press Publications.
2. ‘Disaster Management: An Appraisal of Instit utional Mechanisms in India’ by O.S.Dagur,
published by Centre for land warfare studies, New Delhi, 2011.
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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
7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Hall (India)
Publications.
(Learners are expected to refer reports published at national and International level and updated
information available on authentic web sites)


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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 7018 Energy Audit
and
Management 03 -- -- 03 -- -- 03


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.
ILO 7018 Energy Audit
and
Management 20 20 20 80 03 -- -- 100

Objectives:
1. To understand the importance energy security for sustainable development and the
fundamentals of energy conservation.
2. To introduce performance evaluation criteria of various electrical and thermal installations to
facilitate the energy management
3. To relate the data collected during performance evaluation of systems for identification of
energy saving opportunities.

Outcomes: Learner will be able to…
1. To identify and describe present state of energy security and its importance.
2. To identify and describe the basic principles and methodologies adopted in energy audit of an
utility.
3. To describe the energy performance eval uation of some common electrical installations and
identify the energy saving opportunities.
4. To describe the energy performance evaluation of some common thermal installations and
identify the energy saving opportunities
5. To analyze the data collected duri ng performance evaluation and recommend energy saving
measures

Module Detailed Contents Hrs
01 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
02 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, Optimizin g 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
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03 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.
Energ y 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 start ers, variable speed drives. 10
04 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 Boile rs 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
05 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
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non -Conventional and Renewable Energy Sources 03
Total 39
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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
questio n 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.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questi ons will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 701 Microwave
Engineering
Laboratory -- 02 -- -- 01 -- 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.
ECL 701 Microwave
Engineering
Laboratory -- -- -- -- -- 25 25 50

Course Objectives :

1. To become familiar working with rectangular waveguides and doing microwave bench set up
2. To determine the characteristics of various microwave components
3. To be able to measure wave parameters like impedance, frequency, wavelength using microwave bench and
VSWR/power meter
4. To study charac teristics and behavior of various microwave semiconductor devices.

Course outcomes: On completion of this lab course the students will be able to:

1. Able to handle microwave equipments
2. Able to understand microwave measurements and test the characteristic s of microwave components
3. Able to understand Wave guide and transmission line m easurements
4. Demonstrate working of microwave semiconductor devices
5. Demonstrate the microwave bench set up and conducting measurements of different parameters

Suggested List of Experiments
1 Measurement of microwave frequency using direct and indirect method
2 Measurement of guide wavelength
3 Measurement of VSWR of unknown load
4 Measurement of impedance of unknown load.
5 Study of field patterns of various modes inside a rectangular waveguide cavity using Virtual lab
6 Study of field patterns of various modes inside a rectangular waveguide using Virtual lab
7 Find the change in characteristics impedance and reflection coefficients of the transmission line by
changing the dielectric properties of materials Embedded between two conductors. using Virtual lab
8 Determination of VI characteristics of Gunn diode using microwave test bench.
9 Measurement of attenuation
10 Measurement of microwave power
11 Characterization of E plane TEE, H plane TEE and Magic TEE
12 Measurement of reflection coefficient using transmission line bench

Term Work:
At least 8 experiments covering the entire syllabus must be given “ Batch Wise” . The experiments can be
conducted with the help of appropriate hardware setup /simulation tool (preferably open source) /breadboard and
components. Teacher should refer the suggested list of experiments and can design additional experiments to
acquire pract ical design skills. The experiments should be student centric and attempt should be made to make
experiments more meaningful, interesting and innovative.

Term work assessment must be based on the overall performance of the student with every experiment a nd
assignments graded from time to time. The grades will be converted to marks as per “Credit and Grading
System” manual and should be added and averaged. Based on the above scheme grading and term work
assessment should be done.

The practical and oral examination will be based on entire syllabus. Students are encouraged to share their
experiments codes on online repository. Practical exam slip should cover all the 8 experiments for examination.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 702 Mobile
Communication
System
Laboratory -- 02 -- -- 01 -- 01

Course
Code Course Name Examination Scheme
Theory Marks Term
Work Practical
and Oral Total
Internal assessment End Sem.
Exam. Test 1 Test 2 Avg.
ECL 702 Mobile
Communication
System
Laboratory -- -- -- -- 25 25 50


Course objectives:

1. To understand the inter -dependencies of design parameters of cellular system.
2. To examine orthogonality condition for CDMA systems.
3. To Classify different types of propagation models and analyze the link budget
4. To understand the working principles of OFDM , MIMO , and Cognitive radio.

Course outcomes:

After the successful completion of the course student will be able to
1. Demonstrate the effect of cellular system design parameters on system capacity and quality of
service.
2. Compare and contrast trunking radio system s.
3. Examine the effect of small -scale fadi ng parameters on the performance of radio channel
characteristics .
4. Analyze link budget for various propagation path -loss models.
5. Summarize the attributes of OFDM , MIMO , and Cognitive radio.
6. Evaluate the performance of different MIMO systems .

Suggeste d list of experiments: (Course teacher can design their own experiments based on the
prescribed syllabus)

Suggested Experiment List

 To observe the effect of velocity and direction of arrival of a vehicle on Doppler frequency.
 To observe the effect of Cluster size (N) on C/I ratio and comment on the voice quality.
 To observe the effect of incidence angle on reflection coefficient.
 To observe the effect of different propagation models on coverage distance.
 To analyze the effect of delay on blocking probability of a call for Erlang B and Erlang C
systems.
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 To observe the effect of C/I ratio in a sectorised cell site and perform worst case analysis
for different values of N and degree of sectorisation
 A) Worst case C/I in a 3 -sector cellular system for N = 7
 B) Worst case C/I in a 3 -sector cellular system for N = 4
 C) Worst case C/I in a 6 -sector cellular system for N = 7
 D) Worst case C/I in a 6 -sector cellular system for N = 4
 To generate Pseudo noise code used in a CDMA system.
 To generate Walsh Codes using Hadamard Matrix.
 To plot Knife edge diffraction gain as a function of Fresnel diffraction parameter.
 To analyze the effect of multipath diversity (RAKE receiver) on Bit Error Rate in CDMA
system.
 To plot channel capacity versus SNR for different MIMO systems.
 Simulation of OFDMA system.
 GSM Network simulation.
 CDMA Network simulation.
 Simulation of spectrum sensing using energy detection method in cognitive radio.
 Demonstration of OFDM / MIMO /Cognitive radio.

Term Work , Practical and Oral:

At least 8 experiments covering the entire syllabus must be given “ Batch Wise” . The experiments can be
conducted with the help of simulation tool (preferably open source) and breadboard and components .
Teacher should refer the suggested list of experiments and can design additional experiments to acquire
practical design skills. The experiments should be student centric and attempt should be made to make
experiments more meaningful, interesting and inn ovative.

Term work assessment must be based on the overall performance of the student with ever y experiment and
assignments graded from time to time. The grades will be converted to marks as per “Credit and Grading
System” manual and should be added and averaged. Based on the above scheme grading and term work
assessment should be done.

The practical and oral examination will be based on entire syllabus. Students are encouraged to share their
experiments codes on online repository. Practic al exam slip sh ould cover all the 8 experiments for
examination.
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Major
Project-1
Major
Project-1
ECP701
ECP701
25
25
50
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 801 Optical
Communication
and Networks 03 -- -- 03 -- -- 03

Course
Code Course Name Examination Scheme
Theory Ma rks Exam
Duration
(Hrs.) Term
Work Practical
and Oral Total
Internal Assessment End Sem.
Exam. Test1 Test2 Avg.
ECC 801 Optical
Communication
and Networks 20 20 20 80 03 -- -- 100

Course pre -requisi te:

FEC102 - Engineering Physics -I
FEC2 02 - Engineering Physics -II
ECC302 - Electronic Devices & Circuits
ECC405 - Principles of Communication Engineering
ECC501 - Digital Communication
ECC601 - Electromagnetics and Antenna

Course Objectives:

 Introduction to optical fiber network it’s need, elements and fundamentals .
 To learn Parameters that limits the repeaterless transmission , its mitigation and Managing
techniques .
 To learn high speed optical sources, detectors and Amplifiers .
 Study the multiplexing schemes SDH ,PDH and WDM and its applications for current and NGNs
 To have a n insight into optical packet switched, bust switched and advanced networks
 Learn high speed network management techniques and challenges in its counterpart Free Space
Optics

Course Outcome:

 Understand optica l network s at large by i dentify ing the types of fibers, cables and deployment .
 Design point to point optical fiber communication links using appropriate optical fibers, light
sources, couplers, detectors, and multiplexers.
 Design a short haul or long-haul optical network with repeater by incorporating suitable
amplifier s.
 Compare SDH, PDH and WDM techniques and implement.
 Explore concepts of designing and operating principles of modern optical communication systems
and networks.
 Apply the knowledge acqui red to design the next generation fiber and FSO networks for indoor
and outdoor applications





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Module
No. Unit
No. Topics Hrs.
1.0 Introduction and Basics of Optical fiber communication 07
1.1 Historical Development, Electromagnetic Spectrum, Opti cal Bands and Windows, Need
for optical fiber communication, Fiber optic cable types and color codes,
Block diagram , advantages and disadvantages of optical fiber cables , loss and
bandwidth, applications and deployment .
1.2 Basics of Optical Fiber: Review of Ray theory , Wave theory, Light propagation in
optical fiber Classification of optical fibers, Propagation mode s, MFD in SMF

1.3 Fiber material, Fabrication techniques for high quality fiber: MCVD, fiber joints, fiber
connectors, splices. Brief introduction to Photonic Crystal Fiber and its types .
2.0 Transmission Characteristic of Optical Fiber 07
2.1 Dispersion in Optical fiber, types of dispersion, Dispersion compensation techniques
and dispersion measurements, Time domain and Frequency Domain measurements.
Dispersion management, Need for dispersion management and Post compensation
techniques .
2.2 Transmission losses in the optical fiber, Attenuation, Absorption losses, radiation losses
and linear scattering losses, Comparison of opt ical fibers, Measurement of attenuation:
Insertion loss, Return loss, OTDR.

3.0 Optical Communication Systems 07
3.1 Working principle and characteristics of sources Edge emitting LED ,, Edge emitting
LASER , VCEL , Spectrum, Noise, and Optical amp lifiers .
3.2 Working principle and characteristics of detectors (PIN, APD),coherent and non -
coherent detection, Intensity modulated direct detection, optical receivers, receiver
performance : Bit error rate, Q function and Eye diagram
3.3 Point to point links system considerations, link power budget, and rise time budget
4.0 Optical Network System Components and Optical Networks 08
4.1 Couplers, isolators , circulators, multiplexers , Optical routers and filters - fiber gratings,
Fabry ,switc hes and wavelength converters ,Add drop multiplexers

4.2 SONET and SDH standards, architecture of optical transport networks (OTNs),
protection schemes in SONET/SDH, PDH
4.3 Operational principle of WDM, WDM network elements and Architectures . Types of
WDM Network s, WDM Access Network, WDM Metro Networks, WDM Long Haul
Networks
Data center network s and Elastic Network s



5.0 Packet Switching and Access Networks 04
5.1 OTDM, multiplexing and de -multiplexing, synchronization and broadcast O TDM
networks.
5.2 Network architecture overview, optical access networks. FTTH Network
5.3 Optical Burst switching Networks
6.0 Network Design and Management 06
6.1 Transmission system model, power penalty , transmitter, receiver , optical amp lifiers,
crosstalk .
6.2 Network management functions, configuration management, performance management,
fault management, optical safety, and service interface
6.3 Introduction to free space optics and its challenges
Total 39
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Text books :
1. John M. Senio r, ―Optical Fiber Communication ‖, Prentice Hall of India Publication,
Chicago, 3rd Edition, 2013
2. Gerd Keiser, ― Optical Fiber Communication ‖, Mc -Graw Hill Publication , Singapore,
4th Edition, 2012
3. T.L.Singhal –Optical Fiber Communication Principles and Applications, Cambridge
Press, Edition 2016
4. Kumar Sivarajan and Rajiv Ramaswamy, Morgan Kauffman, Optical Networks: A
Practical Perspective, Elsevier Publication Elsevier India Pvt. Ltd, 3rd Edition, 2010.
5. Ivan B. Djordjevin ,__Advanced Optical and Wireless Communication
Systems, Springer ,Edition 2018 .
6. Debasish Datta ,Optical Networks ,Oxword Cambridge University Press,2021
7. Kaushal, H.Jain, V.K. Kar,S , Free Space Optical Communication ,Springer,2017

Reference books
1. G Ag arwal, ― Fiber optic communication Systems ‖, John Wiley and Sons, 3rd Edition,
New York 2014
2. Rajiv Ramaswami and Kumar N. Sivarajan, ― Optical Networks: A Practical
Perespective ‖, Elsevier Publication Elsevier India Pvt.ltd, 3rd Edition, 2010
3. P.E.Green, ― Optical Networks ‖, Prentice Hall,1994
4. Biswanath Mukherjee, ― Optical Communication Networks ‖, McGraw -Hill, 1997.
5. Le Nguyen Binh, ― Optical Fiber Communication System: Theory and Practice with
MATLAB and Simulink ‖, CRC Press, 2010
6. 2. Harry G. Parros, Communi cation Oriented Networks, Wiley
7. G. Agrwal, Fiber Optic Communication Systems , John Wiley and Sons, 3rd Edition,
New York, 2014.

Further reading:

https://www.iit g.ac.in/psm/qip2015/material/Subir_Bandyopadhyay_Lecture1.pdf
https://www.rp -photonics.com/fiber_fabrication.html
www.osa.org


Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding cont ents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remainin g questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course Code Course Name Teaching Scheme
(Contact Hrs.) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8011 System on Chip
Design 03 -- -- 03 -- -- 03



Course Code
Course Name Examination Scheme
Theory Marks Exam
Duration
(in Hrs.) Term
Work Practical
And
Oral Total
Internal assessment End
Sem.
Exam
Test 1 Test 2 Avg. Of
Test 1 and
Test 2
ECCDLO
8011 System on Chip
Design 20 20 20 80 03 -- -- 100


Course Prerequisite:

ECC303 Digital System Design
ECC503 Digital VLSI Design
ECM601 Mini Project 2B - FPGA based Project


Course Objectives:

1. To introduce modern system design using SoC
2. To understand the concept of hardware software co -design
3. To learn software and hardware design integration

Course Outcome:

After successful completion of the course student will be able to
CO1: Explain basics of SoC design
CO2: Design and verify SoC system
CO3: Explain physical design flow
CO4: Analyze routing issues in SoC Design
CO5: Interpret complex SoC design issues
CO6: Explain non -technical issues related to SoC


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Module
No. Unit
No. Topics Hrs.
1 Introduction to SoC Design 08
1.1 The fundamental trends of SoC design, SoC design flow, The Semiconductor
Economics, Challenges in SoC design 03
1.2 Hardware system structure, Software structure, Accelerating Processors for
traditional software task, System Design with multiple processor design 05
2 System Level Design 05
2.1 Complex SoC system architecture, Processor centric SoC organization,
Communication Design –
Hardware and Software interconnects 03
2.2 Balancing computation and Communication, SoC Design flow, Non -processor
building block in SoC design 02
3 RTL Synthesis 08
3.1 Review of Verilog - RTL Coding and RTL Synthesis RTL coding guidelines,
Synthesizable coding style, FSM Coding style, Memory Modelling. 08
4 SoC Verification 08
4.1 Verification technology options, Verification methodology. System level
verification, block -level verification. Timing verification. 08
5 Physical Design 06
5.1 Partitioning, Floor Planning, Placement, Routing, Goals of routing, Global
routing, Physical verification and design sign -off. 06
6 Reconfigurable SoC Arithmetic: Case Study 04
6.1 16 bit Carry Skip Adder on FPGA using LUT, 16 bit Carry Select Adder on
FPGA using LUT, Divide -and-conquer 4 × 4 multiplier design using LUT 04
Total 39

Textbooks:

1. Engineering the Complex SOC: Fast, Flexible Design with Configurable Processors -Chris Rowen,
Pesrson, 2004.
2. System on a chip verification: Methodology and Verification -Second edition, Prakash Rashinkar,
Peter Paterson, Leena Singh, Kluwer Academic Publishers
3. Digital Design with RTL Design, VHDL and VERILOG - Frank Vahid, John Wiley and Sons
Publisher, 2010

Reference Books:

1. System -on-a-Chip: Design and Test- Rochit Rajsuman -Artech house -2002
2. VLSI Physical design Automation: Theory and Practice, Sadiq Sait, Habib Youssef, World Scientific
Publishing, 1999
3. Surviving the SoC revolution - Henry Chang, Larry Cooke, Grant Martin, Kluwer Academic
Publishers -2002

E-Resources:

1. https://nptel.ac.in/content/storage2/courses/117101058/downloads/Lec -2.pdf

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2. https://www.btechguru.com/engineering -videos --electrical -engineering --circuit -theory --system -
on-chip-(soc) -video -lecture --1790 --4--21.html
3. http://www.asic.co.in/DesignGuidlinesRTLcoding.htm#:~:text=1.1%20STYLE%20AND%20NA
MING%20GUIDELINES&text=WHY%3A%20Readability%20is%20required%20to,well%20as
%20t ransferability%20between%20designers.&text=WHY%3A%20To%20avoid%20conflict%2
C%20module,%E2%80%9Ccontrol%E2%80%9D%20are%20too%20generic
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be cond ucted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8012 Natural
Language
Processing 03 -- -- 03 -- -- 03


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.
ECCDLO
8012 Natural
Language
Processing 20 20 20 80 03 -- -- 100


Course Pre -requisite:

-

Course Objectives:

1. To understand natural language processing and to learn how to apply basic algorithms in this field.
2. To get acquainted with the basic concepts and algorithmic description of the main language levels:
morphology, syntax, semantics, and pragmatics .
3. To design and implement applications based on natural language processing

Course Outcomes:
After successful completion of the course student will be able to:

1. Have a broad understanding of the field of natural language processing.
2. Understand the mathematical and linguistic preliminaries necessary for various processes in NLP
3. Be able to Design, implement and test algorithms for NLP problems
4. Perform Word -Level, Syntax -Level and Semantic -Level Analysis
5. Develop basic understanding of Pragmatics in NLP
6. Be able to apply NLP techniques to design real world NLP applications




















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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Natural Language Processing 06
1.1 The need of NLP. Generic NLP system, Levels of NLP 02
1.2 Stages in building a Natural Language Processing System. Challenges and ambiguities in
NLP Design 04
2.0 Mathematical and Linguistic Preliminaries 06
2.1 Probability Theory, Conditional Probability and Independence, Bayes Rule, Random
Variables, Probability Distributions, Statistics, Counting, Frequency, Mean and Variance 04
2.2 English Grammar, Parts of Speech, Phrase Structures 02
3.0 Word Level Analysis 06
3.1 Tokenization, Segmentation, Lemmatization, Edit Distance, Collocations, Porter Stemmer,
N-gram Language Model 04
3.2 Morphological Analysis, Derivational and Reflectional Morphology 02
4.0 Syntax -Analysis 08
4.1 Tag set for English, Penn Tree bank, Introduction to Parts of Speech Tagging (POST) 02
4.2 Markov Processes, Hidden Markov Models (HMM) 02
4.2 Parts of Speech Tagging using Hidden Markov Models, Viterbi Algorithm 04
5.0 Semantic Analysis 08
4.1 Lexical Semantics, ambiguous words, word senses, Relations between senses: synonym,
antonym, reversives, hyponym, hypernym, meronym, structured polysemy, metonymy,
zeugma 04
4.2 Introduction to WordNet, gloss, synset, sense relations in WordNet. Cosine distance
between documents. Word sense disambiguation. 04
6.0 Pragmatics and applications of NLP 05
6.1 Reference resolution: Discourse model, Reference Phenomenon, Syntactic and Semantic
Constraints on co reference 03
6.2 Applications of NLP: Categorization, Summarization, Sentiment Analysis, Named Entity
Recognition, Machine Translation, Information Retrieval, Question Answer System 02
Total 39


Text Books:

1. Daniel Jurafsky, James H. Martin, Speech and Language Processing ‖ Second Edition, Prentice Hall.
2. Christopher D. Manning and Hinrich Schutze, Foundations of Statistical Natural Language Processing, MIT Press.

Reference books
1. Steven Bird, Ewan Klein, Natural Language Processing with Python, O ‘Reilly
2. Alexander Clark (Editor), Chris Fox (Editor), Shalom Lappin (Editor), The Handbook of Computational Linguistics
and Natural Language Processing

NPTEL / Swayam Course:
1. Course: Natural Language Processing By Prof. Pawan Goyal, IIT Kharagpur
https://onlinecourses.nptel.ac.in/noc21_cs102/preview
2. Course: Applied Natural Language Processing By Prof. Ramaseshan R, CMI
https://onlinecourses.nptel.ac.in/n oc20_cs87/preview
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Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC DL
OC8 013 Wireless
Networks 03 -- -- 03 -- -- 03


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.
ECCDL
OC8013 Wireless
Networks 20 20 20 80 03 -- -- 100


Course Pre -requisite:

ECC 602 - Computer Communication and Networks
ECC 702 - Mobile Communication System

Course Objectives:

1. To analyze the fundamental architecture, design issues and standards of wireless networks .
2. To compare Personal Area Network (PAN) technologies such as ZigBee, Bluetooth, UWB, NFC and 6LoWPAN.
3. To classify different LAN topologies and technologies and ad hoc networks .
4. To classify network protocols, ad hoc vehicle network s and Wireless MANs.
5. To understand planning and design of GSM and CDMA system in Wireless WANs .
6. To apply Wireless sensor networks concept s to develop an IoT applications.

Course Outcomes:

After successful completion of the course student will be able to:

1. Explain fundamental architecture, design issues and standards of wireless networks .
2. Compare different types of Personal Area Network (PAN) technologies such as ZigBee, Bluetooth, UWB, NFC
and 6LoWPAN .
3. Analyze different LAN topologies and technologies and ad hoc networks .
4. Compare various types of network protocols, ad hoc vehicle networks and Wireless MANs .
5. Evaluate the planning and design of performance of GSM and CDMA system in Wireless WANs .
6. Understand the basic network architecture of Wireless sensor networks concepts to develop an IoT applications.










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Module
No. Unit
No. Topics Hrs.
1.0 Overview of wireless networks
04

1.1 Wireless Networks :
Architecture, Classifications, Switching technology, Communication Problems,
Reference Models. Networking issues and Networking Standard . 02
1.2 Wireless Body Area Networks:
Properties, Network Architecture, Network components and Applications
02
2.0 Wireless Personal Area Networks
10
2.1 WPAN: Bluetooth (802.15.1): Radio Specifications, Protocol Stack, Link Types,
Security, Topologies, Applications.
02
2.2 ZigBee (802.15.4): Radio Specifications, Components, Topologies, Protocol Stack,
Applications.
02
2.3 RFID: Radio Specifications, Architecture, Types and applications.
02
2.4 Near Field Communication & UWB (802.15.3 a): Introduction and working.
02
2.5 6LoWPAN: Features, Architecture, protocol stack and applications
02
3.0 Wireless Local Area Network & Wireless Adhoc Networks
06
3.1 Wireless Local Area Network: Equipment, Topologies, Technologies, Applications,
Main features of IEEE802.11a,b, i and n, Protocol Architecture of WLAN
03
3.2 Wireless Adhoc Networks : Features, advantages & Applications
Mobile Adhoc Networks: Network Architecture, MAC Protocol.
03
4.0 Wireless Metropolitan & Vehicular Adhoc Networks
05
4.1 WMAN(IEEE802.16): Introduction, WMAN Network Architecture, Network
Protocols, Broadband Wireless Networks, Applications
03
4.2 Vehicular Adhoc Networks (V ANETs): Characteristics, Protocols & Applications
02
5.0 Wireless Wide Area Networks
06
5.1 Planning and design of Wireless Networks, Radio design for a cellular Network
04
5.2 Receiver sensitivity, Link budget for GSM and CDMA Systems, HSDPA
02
6.0 Advanced Technologies of Wireless Networks
08
6.1 Wireless Sensor Networks: Network Architecture, Design Considerations, Network
Protocol Stack, and Applications
04
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6.2 Wireless Mesh Network: Network architecture, Protocols, technologies &
Applications
02
6.3 Internet of Things: IoT Conceptual Frame work, Architecture, Technology &
Examples. M2M Communication
02
Total 39


Text Books & References:

1. Vijay K. Garg, “Wireless Communication and Networking”, Morgan -Kaufmann Series
in Networking —Elsevier
2. Kazem Sohraby, Daniel Minoli, and Taieb Znati, “Wireless Sensor Networks:
Technology, Protocols, and Applications”, Wiley Student Edition
3. Dr SunilkumarS. Manvi, Mahabaleshwar S. Kakkasageri, “Wireless and Mobile
Networks Concepts and Proto col”Wiley India Pvt Ltd
4. Raj Kamal, “Internet of Things Architecture & Design Principles” Mcgraw Hill



Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted
on approximately 40% of the syllabus completed and IA -2 will be based on remaining
contents (approximately 40% syllabus but excluding contents covered in IA -I). Duration of
each test shall be one hour. Average of the two tests will be considered as IA marks.
End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to
number of respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -
questions will be asked.
3. Remaining questions will be mix ed in nature and randomly selected from all the modules.
4. Weightage of each module will be proportional to number of respective lecture hours as
mentioned in the syllabus.
5. Total 04 questions need to be solved.

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8014 Web Design 03 -- -- 03 -- -- 03

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.
ECCDLO
8014 Web Design 20 20 20 80 03 -- -- 100

Course pre -requisite:

ETS: 305 – Skill development lab Java
ETC: 405 - Skill development lab Py thon

Course Objectives:
1. To design and create web pages using HTML5 and CSS3.
2. To implement client -side scripting to static web pages.
3. To create dynamic web pages using server -side scripting.
4. To use MVC framework for web application development .
5. To use web services in web application development

Course Outcome:
After successful completion of the course students will be able to:
1. Design web pages using HTML5 and CSS3.
2. Apply the concepts of client -side validation and scripts to static we b pages using JavaScript and its framework.
3. Build responsive web pages using front -end framework Bootstrap.
4. Develop a web application using appropriate web development framework.
5. Understand working of web services




















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Module
No. Unit
No. Topics Hrs.
1.0 INTRODUCTION TO WWW 03
1.1 Understanding web system architecture, understanding 3 - tier web architecture. Clients,
Servers and Communication, The Internet, Basic Internet protocols, World wide web,
HTTP Request Message, HTTP R esponse Message, Web Clients, Web Servers
2.0 CLIENTSIDE PROGRAMMING PART I 05
2.1 HTML: Basic structure of an HTML5 document, Creating an HTML5 document,
Markup Tags, Heading -Paragraphs, line Breaks HTML5 Tags - Introduction to elements
of HTML, Wor king with Text, Lists, Tables and Frames, Hyperlinks, Images and
Multimedia, Forms and other HTML5 controls
2.2 CSS: Concept of CSS, Creating Style Sheet, CSS Properties, CSS Styling 4
(Background, Text Format, Controlling Fonts), Working with block elements and
objects, Lists and Tables, CSS Id and Class, Box Model(Introduction, Border properties,
Padding Properties, Margin properties), CSS Advanced (Grouping, Dimension, Display,
Positioning, Floating, Align, Pseudo class, Navigation Bar, Image Spr ites, Attribute
sector)

3.0 CLIENTSIDE PROGRAMMING PART II 03
3.1 Bootstrap
Introduction to Bootstrap, downloading and installing Bootstrap. The Grid System:
Introducing the Grid, Offsetting and Nesting, Responsive Features, Utility Classes, and
Supported Devices.
CSS Foundations: Typography in Bootstrap, Styling Tables, Styling Forms, Styling
Buttons, Images, icons, and Thumbnails. Navigation Systems: Tabs, Pills, and Lists,
Breadcrumbs and Pagination, Navigation Bar, Making the Navigation Bar Re sponsive.

4.0 WEB DEVELOPMENT WITH JAVA 12
4.1 Server -side programming Java Servlets : Java Servlet Architecture, Servlet Life Cycle,
Form GET and POST actions, Session Handling, Understanding Cookies,


4.2 Client -side programming: JavaScript
Introduction to JavaScript, Lexical Structure, Types, Values, Variables, Expressions and
Operators, Statements, Objects, Arrays, Functions, Pattern matching with regular
expressions, JavaScript in Web Browsers, The Window object, Scripting Documents,
Handli ng Events.

4.3 Client -side programming: JavaScript framework jQuery
jQuery: jQuery Basics, jQuery Getters and Setters, Altering Document Structure,
Handling events with jQuery, Animated Effects, Utility functions, jQuery Selectors and
Selection Metho ds,
5.0 SERVERSIDE PROGRAMMING 12
5.1 MVC architecture - Introduction and applications, Server side -scripting – Laravel
Framework
Managing Your Project Controllers, Layout, Views, and Other Assets.

5.2 Introduction to PHP, PHP Tags, Adding Dyna mic content, accessing form variables,
identifiers, user -declared variables, Data types, Constants, Operators, Control structures,
Conditionals, Iteration constructs, using arrays, string manipulation and regular
expressions, reusing code and writing funct ions.
5.3 Designing and creating your web database, Accessing MySQL database from the Web
with PHP, Session Control in PHP
5.4 Introduction to AJAX: AJAX design basics, AJAX vs Traditional Approach, Rich User
Interface using Ajax
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Text B ooks :

1. “Web Technology Black Book”, Dreamtech Press, First Edition, 978 -7722 - 97
2. WEB TECHNOLOGIES A Computer Science Perspective Jeffrey C. Jackson Duquesne
University
3 Developing Java Web Services, R. Nagappan, R. Skoczylas, R.P. Sriganesh, Wiley In dia, rp
2008
4. Learning Bootstrap Aravind Shenoy Ulrich Sossou PACKT PUBLISHING

Reference B ooks
1. Ralph Moseley, M.T. Savliya , “Developing Web Applications'', Willy India, Second
Edition,
2. Robin Nixon, "Learning PHP, MySQL, JavaScript, CSS & HTML5" Thir d Edition,
O’REILLY ,2014.
(http://www.ebooksbucket.com/uploads/itprogramming/javascript/Learning_PHP_MySQL
_Javascript_CSS_HTML5__Robin_Nixon_3e.pdf)
3. Professional Rich Internet Applications: AJAX and Beyond, Dana Moore, Raymond Budd,
Edward Benson, Wiley publications. https://ebooks -it.org/0470082801 -ebook.htm
4. Jennifer Kyrnin, “SAMS Teach Yourself Bootstrap in 24 hours”, 1st edition, Pearson
Education.
5. Martin Bean, “Laravel 5 Essentials”, PACKT Publishing Ltd
6. Harvey & Paul Deitel & Associates, Harvey Dei tel and Abbey Deitel, “Internet and World
Wide Web - How To Program”, Fifth Edition, Pearson Education, 2011.
7. Achyut S Godbole and Atul Kahate, “Web Technologies”, Second Edition, Tata McGraw
Hill, 2012.
8. Thomas A Powell, Fritz Schneider, “JavaScript: T he Complete Reference”, Third Edition,
Tata McGraw Hill, 2013.
9. David Flanagan, “JavaScript: The Definitive Guide, Sixth Edition”, O'Reilly Media, 2011
10. Steven Holzner, “The Complete Reference – PHP”, Tata McGraw Hill, 2008
11. Mike Mcgrath, “PHP & MySQL i n easy Steps”, Tata McGraw Hill, 2012.
12. J. Millman and A. Grabel, “Head First HTML and CSS”, 2nd edition, O‟ Reilly..
13. Ben Frain, “Responsive Web design with HTML5 and CSS3”, PACKT Publishing Ltd.
14. L. Welling and L. Thomson, “PHP and MySQL Web Development”, 4th edition, Adison
Wesley Profession al.
Digital Material:
1. www.w3schools.com
6.0 WEBSERVICES 03
6.1 Introduction to Web Services: The definition of web services, basic operational model of
web services (SOAP and REST), tools and technologies enabling web services, benefits
and challenges of using web services.
6.2 Web Services Architecture: Web services Architecture and its characteristics, core
building blocks of web services, standards and technologies available for implementing
web services, web services communication, basic steps of implementing web services
Total 39
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining conte nts (approximately
40% syllabus but excluding contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

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End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC DLO
8015 RF Design 03 -- -- 03 -- -- 03


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.
ECC DLO
8015 RF Design 20 20 20 80 03 -- -- 100


Course Pre -requisite:
1. Electromagnetic and Antenna
2. Principles of Communication Engineering
3. Microwave Engineering

Course Objectives: The course should enable the students to:
1. To learn RF circuit fundamentals for designing various circuit building blocks in a typical RF
transceiver
2. To learn importance of EMI/EMC

Course Outcomes :

1. Design impedance matching networks and passive RF filters
2. Design and appraise the RF amplifiers
3. Design and appraise the RF oscillators
4. Differentiate the RF mixers
5. Analyze EMI and EMC in RF circuits
6. Analyze stability of RF trans -receiver



















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Module
No. Unit
No. Topics Hrs.
1.0 RF F ilter Design 08
1.1 Introduction to Periodic Structure
1.2 Filter design using Image parameter method (Theory and Numerical)
1.3 Filter design using Insertion loss method - Maximally flat low pass prototype, Equal
ripple low pass prototype, Filter transformation and filter implementation. (Theory and
Numerical)
2.0 Microwave Amplifier Design 10
2.1 Two-port power gain derivation, signal flow graph(SFG) and stability criterion
(Theory and Numerical)
2.2 Single stage amplifier design : Design for maximum gain, design for specified gain,
low noise amplifier design (Theory and Numerical)
2.3 Power amplifier design : Characteristics of power amplifier and classes of amplifiers,
design of class A power amplifier. (Theory and Numerical)
3.0 Microwave Oscillator 06
3.1 One-port microwave oscillator design. (Theory and Numerical)
3.2 One-port microwave oscillator design. (Theory and Numerical)
3.3 Analysis of phase noise in oscillators
4.0 Microwave Mixer 05
4.1 Mixers: Characteristics, Various types of Mixers: Single ended diode mixers, FET
mixers, Balanced mixers, Image reject mixers and other types of mixers
5.0 Electromagnetic Interference in RF circuits 04
5.1 Introduction : Natural and Nuclear Sources of EMI, EMI From Apparatus and
Circuits. Quantification of Communication System EMI
5.2 Elements of Interference Including Antennas, Transmitters, Receivers and
Propagation. Electronic Equipment And System EMI Concepts. Examples Of EMI
Coupling Modes
5.3 Mode of coupling : Common -Mode coupling , Differential mode coupling, and other
coupling mechanisms (Power supp ly and victim amplifiers)
6.0 Electromagnetic Compatibility 06
6.1 For Achieving EMC : Grounding, Bonding, Shielding Effectiveness, EMI Diagnostics
And Fixes: Techniques Used In EMI Diagnostics Fixes, troubleshooting.
6.2 Instruments, Tools, used to measure Electromagnetic Field (Radiated and
Conducted Emission) : voltage and current probe, LISN, CDN, Clamp, Field probes,
Spectrum analyzer, Oscilloscope, EMI Receiver
6.3 Electromagnetic Noise specification : Surge, EFT (Electrical Fast transients), PFMF,
Radiated and conducted susceptibility, Voltage and dips interruption, Ring wave,
Damped oscillatory wave
6.4 EMC Specifications, Standards And Measurements : A Discussion of the Genesis of
EMC documentation including a historical Summary, The Rationale, and A Review of
MIL-Std., FCC And CISPR Requirements
Total 39

Text Books:
1. David Pozar, “Microwave Engineering”, Wiley Publication ( Fourth Edition)
2. Ludwig R. and Bogdanov G. , “RF Circuit Design”, Prentice Hall
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3. Jack Smith, "Modern Communication circuits”, Tata McGraw Hill
4. W. Prasad Kodali, “Engineering Electromagnetic Compatibility: Principles, Measurements,
Technologies, and Computer Models”, Wiley -IEEE Press ( Second Edition)
5. David. A. Weston, “Electromagnetic Compatibility princ iples and applications”, Marcel
Dekker (Second Edition)
6. MARK I. MONTROSE EDWARD M. NAKAUCHI, “Testing for EMC compliance:
Approaches and Techniques”

Reference books
1. Guillermo Gonzalez, "Microwave Transistor Amplifiers Analysis and Design "Prentice Hall.
(Second Edition)
2. M. L. Sisodia, G. S. Raghuvanshi, “ Microwave Circuits and Passive Devices”, New Edge
International Publisher(First Edition)
3. Clayton R. Paul, “Electromagnetic Compatibility", John Wiley & Sons. (Second Edition)

Useful Links:
1. www.nptelvideos.in
2. https://nptel.ac.in/courses/108/106/108106138/
3. https://freevideolectures.com/course/4367/nptel -microwave -theory -techniques



Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately 40%
syllabus but ex cluding contents covered in IA -1). Duration of each test shall be one hour. Average of
the two tests will be considered as I A marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -
questions will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4. 4.Total 04 questions need to be attempted.
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Subject
Code Subject
Name Examination Scheme
Theory Marks Exam
Duration
(in Hrs.) Term
Work Practical
And Oral Total
Internal assessment End
Sem.
Exam Test
1 Test
2 Avg. of
Test 1
and
Test 2
ECCDLO
8021 Autonomous
Vehicles 20 20 20 80 03 -- -- 100

Course Pre -requisite:
ECCDLO5015 : Sensor Technology
ECC603 : IPMV
ECC604 : ANNFL
ECCDLO7012 : Deep Learning

Course Objectives:
1. Introduction to Autonomous vehicles/SDC (Self Driving Cars), advantages and challenges in SDC’s.
2. Gain Knowledge about the Sensors in SDC’s.
3. Unde rstand the in - vehicle communication aspects in SDC’s
4. Understand perception and localization in SDC.
5. Get to grips with planning and control in SDC.
6. To know the various applications of SDC’s.

Course Outcome:
After successful completion of the course student will be able to
1. Understand fundamentals of SDC (Self Driving Cars).
2. Compare different types of Sensors in SDC’s.
3. Illustrate different protocols of In - vehicle communication for SDC’s.
4. Identify perception and localization in SDC’s.
5. Analyze plannin g and control in SDC.
6. Evaluate different applications and algorithms in SDC’s.













Subject
Code Subject Name Teaching Scheme
(Hrs.) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8021 Autonomous
Vehicles 03 -- -- 03 -- -- 03
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Module
No. Unit
No. Topics Hrs.
1.0 Introduction 04
1.1 Introduction to Autonomous Vehicles /Self Driving cars (SDC), Benefits of SDCs ,
Challenges in Current Deployment.
1.2 Levels of Autonomy
2.0 Sensors in Autonomous Vehicles 06
2.1 Camera (3D and stereo), LiDAR, Sensor Fusion
2.2 Passive Perception with Sonar and Millimeter Wave Radar
2.3 Vehicle -to-Everything Infrastructure
3.0 In-Vehicle Communication Systems 08
3.1 CAN: Introduction and architecture
3.2 CANopen: Introduction and architecture
3.3 FlexRay protocol: Introduction and architecture
3.4 Introduction to Operating System for SDC’s.
4.0 Perception and Localization in SDC 09
4.1 Introduction to Computer vision in SDC. Artificial eyes VS human eyes.
Four pillars of autonomous driving: Perception, Localization, Planning and Control.
4.2 Perception: Object Detection and Line Lane detection
Object/ obstacle Detection: Comparison of 2D and 3D object detection.
Overview of ML algorithms for obstacle detection -Histogram of Oriented Gradients
(HOG), Support Vector Machine (SVM).
Object detection using deep learning algorithm: Architectu re of YOLO
4.3 Line Lane Detection: Introduction to Semantic Segmentation, architecture,
overview of different semantic segmentation architecture.
4.4 Localization: Introduction to GNSS, GNSS error analysis, Visual Odometry, SLAM
Self-Learning: Implementation of YOLO for object Detection, Implementation of
semantic segmentation for images.
5.0 Planning and Control in SDC 06
5.1 Planning and Control: Architecture of planning and control, Traffic Prediction and
routing.


5.2 Behavioral decision, Motion Planning and feedback control.
6.0 Applications of SDC 06
6.1 DragonFly Model: Sensor Configuration and Software Architecture

6.2 Enabling Commercial Autonomous Space Robotic Explorers: Sensor configuration
and its working.
6.3 Algorithm for YOLO object detection: Detecting objects in images and
Detecting objects in videos
Total 39





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Textbooks:

1. Sumit Ranjan, Dr. S. Senthamilarasu - Applied Deep Learning and Computer Vision for Self -
Driving Cars , Packt Publishing Ltd. 2020.
2. Shaoshan Liu, Liyun Li , Jie Tang, Shuang Wu, Jean -Luc Gaudiot - Creating Autonomous
Vehicle System , Second Edition , Morgan & Claypool Publishers , 2018.
3. William Ribbens - Understanding - Automotive -Electronics , Butterworth -Heinem ann Publisher
, Fifth Edition, 1998.

Reference Books:

1. Markus Maurer ,J. Christian Gerdes, Barbara Lenz , Hermann Winner - Autonomous Driving
Technical, Legal, Social Aspects , Springer Open, 2015.
2. Shaoshan Liu - Engineering Autonomous Vehicles and Robots, Wiley, 2020.

E-Resources:
1. Open Innovation in EVs: A case study of Tesla Motors
https://www.diva -portal.org/smash/get/diva2:635929/FULLTEXT01.pdf

2. Autonomous vehicles Research report by MRCagney
https://drive.google.com/drive/folders/1nxROagqwD KUpVMDLFPPgG7_DKakuyItf

3. Reinventing Safety: A Joint Approach to Automated Driving Systems Mercedes -Benz and
Bosch
https://www.daimler.com/documents/inno vation/other/vssa -mercedes -benz -and-
bosch.pdf

Online Courses
1. https://digitaldefynd.com/best -self-driving -cars-courses/
2. https://www.classcentral.com/course/intro -self-driving -cars-13140



Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course
Name Teaching Scheme
(Hrs.) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8022 Satellite and
Nano Satellite
Communication 03 -- -- 03 -- -- 03

Course
Code
Course
Name Examination Scheme
Theory Marks
Term
Work Practical
& Oral Oral Total Internal assessment End
Sem.
Exam Test 1 Test2 Avg. Of Test 1
and Test 2
ECCDLO
8022 Satellite and
Nano Satellite
Communication 20 20 20 80 -- -- -- 100

Prerequisites:
 Analog Communication
 Digital Communication

Course objectives:
 To understand the basics of satellite communications and different satellite orbits
 Provide an in -depth understanding of satellite communication system operation, launching techniques, and
earth station technology
 To Analyze and evaluate satellite link design
 To review structure design, payload and space segment related to N ano satellite.
Course outcome s:
After successful completion of the course student will be able to
 Understand the basic concepts of satellite communication system and orbital parameters.
 Explain various satellite sub -systems, earth station technologies and launching mechanisms.
 Analyze and evaluate link budget and various performance para meters of satellite signal for proper
communication.
 Understand Nano satellite’s structure design, payloads, Thermal control system and space segment
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Module
No. Unit
No. Topics Hrs.
1.0 Overview of Satellite Systems, Orbits and Launching 08
1.1
An overview of space and classification of satellite, orbital elements: apogee and
perigee heights, semi -major axis, eccentricity, and mean anomaly, argument of
perigee, inclination and right ascension of the ascending node, polar orbiting
satellites, Kepler’s first, second and third law, Orbital perturbations, effects of a non -
spherical earth, atmospheric drag.
1.2 Sub-satellite point, predicting satellite position, antenna look angels, polar mount
antenna, limits of visibility, near geostationary orbits, earth eclipse of satellite, sun
transit outage.
1.3 Selection of launching site, launch window, zero and non-zero degree latitude
launching, sea launch, Launch ers: Polar Satellite Launch Vehicle (PSLV),
Geostationary Satellite Launch Vehicle (GSLV), Reusable launch vehicles
(RLV),Sounding rockets, Fuels used for launch Vehicles.
2.0 Space Segment 04
2.1 Satellite configuration, transponder sub-system, antenna sub- system, AOC sub-
system, TT&C sub-system, power sub-system, thermal sub-system.
2.2 Reliability and quality assurance.
3.0 Earth Station 03
3.1 Design consideration.
3.2 General configuration: block diagram, receive only type earth, transmit -receive type
earth station, antenna system, feed system, tracking system, LNA and HPA.
4.0 Satellite Losses and Links 10
4.1
Atmospheric losses, ionospheric losses, transmission losses, feeder losses, antenna
misalignment losses, rain attenuation, other impairments, antenna polarization,
polarization of satellite signals, cross polarization discrimination, ionospheric
depolarization, rain depolarization and ice depolarization, Isotropic radiated power
and link budget.
4.2 System noise, antenna noise, amplifier noise temperature, amplifiers in cascade,
noise factor, noise temperature of absorptive networks,
overall system noise temperature and carrier to noise ratio .
4.3 Saturation flux density, input back off, earth station HPA, output back off and
satellite TWTA output .
4.4 Effects of rain, uplink rain-fade margin, downlink rain-fade margin,
combined uplink and downlink C/N ratio and intermodulation noise .
5. Overview of nano satellite 06
5.1 Introduction: Important transformation, Review of nano satellite, Global economics
related to it, Evolution of nano satellite, ISRO’s small satellite program and future
scenario.
5.2 Payloads for nano satellite: Types of payloads: Earth observation payload,
communication payload and scientific payload. Design considerations for payloads.
5.3 Nanosatellite structures: Function of satellite structure, Types of structure designs:
Skin frame structure, Truss structure, Monocoque cylinders and Skin stringer
structure, Overview for building of structure and materials for structures.
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6. Space segment for nano satellite 08

6.1 Thermal control system (TCS) implementation in nano satellite and it’s testing for
verification of TCS . Power system design for nano satellite.

6.2 Function and design consideration of Deployment mechanisms, Critical elements in
deployment mechanisms, Overview of types of deployment mechanisms.

6.3 On board Computer and digital electronics (OBC): Block diagram of typical OBC,
Overview of OBC Software and hardware, Telemetry and telecommand, Attitude
control electronics

6.4 Quality, Quality assurance, product assurance and reliability analysis for Nano
satellite
Total 39


Text Books & References:
1. Dennis Roddy, ―Satellite Communic ations‖, 4th Ed., Mc. Graw-Hill International Ed. 2009.
2. M. Richh aria, ―Satellite Communic ation Systems Design Principles‖, Macmillan Press Ltd. Second
Edition 2003.
3. R. N. Mutangi, ― Satellite Communication‖, Oxford university press, 2016.
4. Gerard Maral and Michel Bousqu et, ―Satellite Communic ation Systems‖ , 4th Edition Wiley
Publication
5. Gerard Maral, ―VSAT Networks‖, John Willy & Sons
6. Space technology Veterans, Quintessence of Nano satellite technology (small is big), Planet aerospace India,2020.
7. Timot hy Pratt, Charles Bostian, and Jeremy Allmuti, ―Satellite Com munications‖, John Willy &
Sons (Asia) Pvt. Ltd. 2004
8. Wilbur L. Pritchard, Henri G. Suyderehoud, and Robert A. Nelson, ―Satellite
Communication systems Engineering‖, Pearson Publication

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximat ely
40% syllabus but excluding contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLOC
8023 Network
Management in
Telecommunic
ation 03 -- -- 03 -- -- 03

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.
ECCDLOC
8023 Network
Management
in
Telecommunic
ation 20 20 20 80 03 -- -- 100


Course pre -requisite:

ECC602 - Computer Communication Networks

Course Objectives:
1. To understand the concept s of network management in Telecommunication (NMT) , architecture s
and protocol s.
2. To familiarize the student with the design, analysis , operation and management of modern data
communications networks.
3. To provide the student with a working knowledge of the types of communication network
management systems and their strengths and limitations in solving various information network
manageme nt problems.

Course Outcome:
After successful completion of the course, the student will be able to: -
1. Explain the need for interoperable network management and analyze the trends and development
of the Telecommunications Network Management.
2. Demonstrate broad knowledge of fundamental principles and technical standards underlying
NMT .
3. Describe the concepts and architecture behind standards -based network management associated
with SNMP and CMIP.
4. Apply basic s of telecommunication, networking and information technologies and architect and
implement networked informative systems.
5. Continuously improve their knowledge of technology and communication skills.











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Module
No. Unit
No. Topics Hrs.
1.0 Introduction of Network Management 6
1.1 Introducing Network Design Concepts: Case histories on network, system and service
management, Network design based on economy and SLA -based serv ices. Challenges of
IT managers
1.2 Network Management: Goals, organization and functions
1.3 Network management architecture , organization network and management perspectives
2.0 OSI Network Management 6
2.1 Network Management standards
2.2 OSI Network Management model
2.3 Network Management layers
2.4 ISO Network Management functions
2.5 Communication model and functional model
2.6 Abstract Syntax Notation One (ASN.1): Terminology, symbols , and conventions . TLV
encoding structure
3.0 Internet Management 10
3.1 SNMP model : SNMP Organizational model, System overview, Information model,
Management of Information Base
3.2 SNMP v1 : SNMP Communication model - SNMP architecture, Administrative model,
SNMP Protocol specifications, SNMP operations, SNMP Functional model
3.3 SNMPv2 : Major changes in SNMPv2, SNMPv2 architecture, SNMPv2 Management
Information Base, SNMPv2 protocol, Compatibility with SNMPv1
3.4 SNMPv3 :Key features, SNMPv3 architecture, SNMPv3 applications, Security, security
model, message format, SNMPv3 User - based Security Model, Access control ( VACM)
3.5 RMON: What is RMON? RMON 1, RMON 2
4.0 Telecommunication Management Networks(TMN) 4
4.1 Definition of TMN , TMN framework, TMN functional model
4.2 TMN Conceptual model, OSI functionality in TMN
4.3 TMN management services architecture and TMN implementation
5.0 Network Management Tools and Applications 9
5.1 System Utilities for Network Management: Basic tools, SNMP tools and Protocol
analyzer
5.2 Network Statistics and Measurements: Traffic load, Protocol statistics, Data and Error
statistics
5.3 NMS Design: Functional requirements, NMS Client design and NMS Server
architecture, Distributed Management approaches
5.4 Network Management Systems: Commercial and Open -source NMSs
5.5 Network Management Applications: Fault, Configuration, Accounting, Performance and
Security (FCAPS)
5.6 Event Correlation Techniques: Rule -based reasoning, Model -based reasoning, Case -
based reasoning, Codebook, State Transition Graph model and Finite State Machine
model
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Text books
1. Mani Subramaniam, Network Management Principles and Practice , New Delhi: Pearson,
2010.
2. Alexander Clemm, Network Management Fundamentals , Cisco Press, December 2006,
ISBN -13: 978 -158720137.
3. Benoit Claise and Ralf Wolter , Network Management: Accounting and Performance
Strategies , CISCO Press , 2007 .
4. J. Richard Burke, Network Management: Concepts and Practice, A Hands -On
Approach ,Pearson Education India, 2008 , ISBN -13: 978 -8131718490 .
5. Salh Aiidarons, Thomas Plevoyak, Telecommunications Network Technologies and
Implementations , Eastern Economy Edition, New Delhi: IEEE Press , 1998 .
6. Henry Haojin Wang, Telecommunication Network Management , McGraw Hill , 1999 .

Online Learning Resources: -
1. https://www.youtube.com/watch?v=liBB_Q7Go5k
2. https://www.youtube.com/watch?v=xdUjwlyyi9U
3. https://www.youtube.com/watch?v=aQGeSDauRso
4. https://nptel.ac.in/courses/117/101/117101050/
5. https://nptel.ac.in/courses/106/105/106105183/

5.7 Report Management, Policy -based Manageme nt and Service Level Management
6.0 Broadband Network Management 4
6.1 Broadband networks and services, ATM Technology – VP, VC, ATM Packet, Integrated
service, ATM LAN emulation, Virtual LAN
6.2 ATM Network Management – ATM network reference model, Integrated Local
Management Interface, role of SNMP and ILMI in ATM
6.3 ATM Management Information Base, M1, M2, M3, M4 interfaces
Total 39
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentione d in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in natu re and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8024 Microstrip
Antenna 03 -- -- 03 -- -- 03


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.
ECCDLO
8024 Microstrip
Antenna 20 20 20 80 03 -- -- 100


Course Prerequisite:

1. Electromagnetics and Antenna
2. Microwave Engineering

Course Objectives:
In the course, Students will be introduced to :

1. Fundamental parameters and characteristics of Microstrip Antennas(MSA)
2. Design and analysis of Rectangular and Circular MSA.
3. Different compact and broadband techniques of MSA.
4. Circularly Polarized MSA ’s and various applications in wireless communication systems.

Course Outcomes:
After successful completion of the course student will be able to:

1. Apply the fundamental parameters of MSA.
2. Analyze Rectangular and Circular MSA.
3. Identify various compact and broadband methods of MSA.
4. Examine the methods of circular polarization.
5. Compare various applications of MSA.





















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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Microstrip Antennas 05
1.1 Types of MSA ’s, Characteristics of MSA ’s, Advantages and Disadvantages,
Applications of MSA ’s. 01
1.2 Reflection coefficient, VSWR, Return loss, Impedance mismatch, VSWR Bandwidth,
Gain, Directivity, Antenna efficiency, E-Plane and H -Plane radiation pattern, Co and Cross
polarization, Specific absorption rate (SAR), Axial ratio. 02
1.3 Feeding Techniques, brief introduction to Methods of Analysis, Surface waves, Various
substrates with dielectric constant for MSA. 02
2.0 Design of Rectangular Microstrip Antenna (RMSA) 08
2.1 Design considerations of RMSA: Resonant frequency, Voltage and Current variation,
Radiation Pattern, Calculation of effective dielectric constant, actual and effective length,
width, feed point location. 04
2.2 Parametric Study of RMSAs : Effect of - feed point location, width of RMSA(W), height
of substrate(h), dielectric constant(Ɛr), probe diameter, finite ground plane, loss tangent. 03
2.3 Analysis of Higher order modes of RMSA 01
3.0 Design of Circular Microstrip Antenna (CMSA) 08
3.1 Design considerations of CMSA: Resonant frequency, Input Impedance and Voltage
Distribution, Radiation Pattern, Calculation of effective dielectric constant, actual and
effective radius, feed point location. 06
3.2 Parametric Study of CMSAs : Effect of loss tangent 01
3.3 Analysis of Higher order modes of CMSA 01
4.0 Compact and Broadband Techniques 08
4.1 Compact Techniques for RMSA and CMSA:Introduction, Compact Shorted RMSA,
Partially Shorted RMSA, Effect of Dimensions of RMSA with a Single Shorting Post,
Effect of the Position of the Single Shorting Post. 04
4.2 Broadband Techniques for RMSA and CMSA: Planar Multiresonator configurations
(Radiating and Non -radiating Gap coupled concept), Electromagnetically coupled MSA ’s,
Stacked Multiresonator Rectangular Patches on Thick Substrates, U slot technique. 04
5.0 Circularly Polarized MSAs 05
5.1 Methods to achieve Circular Polarization in MSA : single feed and dual feed. 03
5.2 Design procedure for single feed circularly polarized MSA (RMSA & CMSA). 02
6.0 Applications of MSA 05
6.1 Introduction: Wearable and Fractal Antennas for wireless communication systems, MIMO
Patch Antenna, Reconfigurable Antenna, Implanted Antennas in the medical field . 05
Total 39


Text Books:

1. Girish Kumar , K. P. Ray , Broadband Microstrip Antennas, Artech House, 2003.
2. Constantine A. Balanis , Antenna Theory: Analysis and Design, John Wiley Publication 4th Edition.
3. Sabban, Albert. Wearable Communication Systems and Antennas for Commercial, Sport and Medical Applications.
IOP Publishing 2018. https://dx.doi.org/10.1088/2053 -2563/aade55
4. Abed, M. J. Abu -AlShaer, and A. M. Jawad, "Fractal Antennas for Wireless Communications", in Modern Printed -
Circuit Antennas. London, United Kingdom: IntechOpen, 2020 [Online]. Available:
https://www.intechopen.com/chapters/71491 doi: 10.5772/intechopen.90332
5. Sharawi Mohammad S., Printed MIMO antenna engineering, Artech House Publishers, 2014.
6. J. T. Bernhard, Reconfigurable Antennas. San Rafael, CA, USA: Morgan and Claypool Pub lishers, 2007.
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7. Rahmat -Samii, Yahya, Kim, Jaehoon, Implanted Antennas in Medical Wireless Communications. United States:
Morgan & Claypool Publishers, 2006. https://doi.org/10.2200/S00024E D1V01Y200605ANT001

Reference books
1. Ramesh Garg , Prakash Bhartia , Inder J. Bahl , A. Ittipiboon , Microstrip Antenna Design Handbo ok, Artech House,
2001.
2. Kin-Lu Wong, Compact and Broadband Microstrip Antennas, John Wiley & Sons Inc, United States, 2002.
3. Kai Fong Lee, Kwai Man Luk , Hau Wah Lai , Microstrip Patch Antennas, World Scientific; 2nd edition.

Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (app roximately
40% syllabus but excluding contents covered in IA -I). Duration of each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to the number
of respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of a total of 06 questions , each carrying 20 marks .
2. Question No: 01 will be compulsory and based on the entire syllabus wherein 4 to 5 sub-
questions will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4. Total 04 questions need to be attempted.

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDLO
8025 Augmented
and Virtual
Reality 03 -- -- 03 -- -- 03

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.
ECCDLO
8025 Augmented
and Virtual
Reality 20 20 20 80 03 -- -- 100

Prerequisite : Programming Language, Computer Graphics
Course Objectives: The course aims :
1. To learn the underlying concepts of Augmented and Virtual Reality and primitives of computer
graphics .
2. To understand the use of hardware devices in AR -VR system.
3. To understand the tracking system in AR .
4. To apply concept of calibrat ion and registration of different components in AR system
5. To design AR-VR applications.
6. To understand the use of AR-VR in interdisciplinary immersive applications


Course Outcomes: On successful completion of this course, learner /student will be able to:
1. Identify and compare different Virtual and Augmented Reality Technologies and apply modelling
techniques.
2. Identify and use AR-VR hardware components.
3. Apply concepts of Computer Vision for tracking in AR Systems .
4. Apply calibration techniques and registration for components in AR.
5. Design AR-VR application
6. Apply insights of AR-VR in different applications.

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Module
No. Unit
No. Topics Hrs.
1.0 Introduction to Augmented and Virtual Reality 05
Definition and Scope, A Brief History of Augmented and Virtual Reality, AR -VR
Architecture, Challenges with AR -VR, AR -VR systems and functionality, Types
of Augmented Reality Application (Location Based AR Apps Marker -Based AR
Applications).
Understanding Virtual Space a nd Geometry: coordinate systems, Geometric
Modelling, 2D transformations, 3D rotation and 6 degree of freedom, View
Transformation, projective transformation,
Related fields: MR, XR and ubiquitous computing and their comparison.
2.0 Visual Physiology, perception and Interaction 05
Mechanics of Sight: the visual pathway, spatial vision and depth cues. Display
fundamentals, optical architecture. Augmenting displays. Multimodal Displays;
Visual Perception; Spatial Display Model; Visual Displays. Mechanics of hearing,
audio displays. Augmented and Virtual reality Hardware
3.0 Tracking and Computer Vision for AR 10
Characteristics of Tracking Technology; Stationary Tracking Systems; Mobile
Sensors; Optical Tracking; Sensor Fusion; Marker Tracking, infrared tracking,
Natural feature tracking by detection.
4.0 Calibrations and Registration 06
Camera projection and setup for AR. Camera calibration techniques. Registration
5.0 AR-VR Application Development 07
AR-VR Application Requirements, Software engineering requirements, AR -VR
Design Principles, Data Flow, Scene Graphs; Developer Support: Parameter
Configuration, Tools used in AR -VR development.
6.0 Applications of AR -VR and Human Factors, Legal and Social Considerations 06
Applications of AR -VR in: Edutainment, Medical, Military, Production and
Manufacturing, Navigation, Astronomical Observation, E -commerce; What are
Human Factors, Physical Side Effects, Visual Side Effects, Legal Considerations,
Moral and Ethical Considerations.
Total 39



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Textbooks :
1. John Vince, “Virtual Reality Systems”, Pearson publication
2. Tony Parisi, “Learning Virtual Reality”, O’REILLY’
3. Dieter Schmalsteig and Tobias Hollerer, “Augmented Reality - Principles and Practice”, Pearson
Education, Inc. 2016 Edition.
4. Chetankumar G Shetty, “Augmented Reality - Theory, Design and Development”, Mc Graw Hill,
2020 Edition.
5. Alan B. Craig, “Understanding Augmented Reality – Concepts and Applications”, Morgan
Kaufmann, Elsevier, 2013 Edition.
References :
1. Borko Furht, “Handbook of Augmented Reality”, Springer.
2. Erin Pangilinan, Steve Lukas, and Vasanth Mohan, “Creating Augmented and Virtual Realities -
Theory and Practice for Next -Generation Spatial Computing”, O’Reilly Media, Inc., 2019 Edition.
3. Jens Grubert, Dr. Raphael Grasset, “Augmented Reality for Android Application Development”,
PACKT Publishing.
Online References :
1. www.nptel.ac.in
2. www.coursera.org
Internal Assessment (20 -Marks):

Internal Assessment (IA) consists of two class tests of 20 marks each. IA -1 is to be conducted on
approximately 40% of the syllabus and IA -2 will be based on remaining contents (approximately
40% syllabus but excluding contents covered in IA -I). Duration o f each test shall be one hour.
Average of the two tests will be considered as IA marks.

End Semester Examination (80 -Marks):

Weightage to each of the modules in end -semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.

1. Question paper will comprise of total 06 questions, each carrying 20 marks .
2. Question No: 01 will be compulsory and based on entire syllabus wherein 4 to 5 sub -questions
will be asked.
3. Remaining questions will be mixed in nature and randomly selected from all the modules.
4.Total 04 questions need to be attempted.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8011 Project
Management 03 -- -- 03 -- -- 03


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.
ILO 8011 Project
Management 20 20 20 80 03 -- -- 100

Objectives :
1. 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.
2. To appraise the students with the project management life cycle and make them knowledgeable
about the various phases from project initiation through closure.

Outcomes: Learner will be able to…
1. Apply selection criteria and select an appropriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with them
strategically.
4. Use Earned value technique and dete rmine & predict status of the project.
5. Capture lessons learned during project phases and document them for future reference

Module Detailed Contents Hrs
01 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). 5
02 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. Effecti ve project team, Stages of team
development & growth (forming, storming, norming & performing), team dynamics. 6
03 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. In troduction to Project Management Information System (PMIS). 8
04 Planning Projects: 6
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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
05 5.1 Executing Projects:
Planning monitoring and controlling cycle . Information needs and reporting, engaging
with all stakeholders of the projects.
Team management, communication and project meetings.
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed; Usin g
milestones for measurement; change requests and scope creep. Project audit.
5.3 Project Contracting
Project procurement management, contracting and outsourcing, 8
06 6.1 Project Leadership and Ethics:
Introduction to project leadership, ethics in projects.
Multicultural and virtual projects.
6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, Starvation), Process of project
termination, completin g a final report; doing a lessons learned analysis; acknowledging
successes and failures; Project management templates and other resources; Managing
without authority; Areas of further study. 6
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four quest ion need to be solved.

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.
4. Gopalan , Project Management, , Wiley India
1. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.
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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8012 Finance
Management 03 -- -- 03 -- -- 03


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.
ILO 8012 Finance
Management 20 20 20 80 03 -- -- 100

Objectives :
1. Overview of Indian financial system, instruments and market
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and its
management
3. Knowledge about sources of finance, capital structure, dividend policy
Outcomes: Learner will be able to…
1. Understand Indian finance system and corporate finance
2. Take investment , finance as well as dividend decisions

Module Detailed Contents Hrs
01 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
02 Concepts of Returns and Risks: Measurement of Historical Returns and Expected
Returns of a Single Security and a Two -security Portfolio; Measurement of Hist orical
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
03 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 09
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Ratios; Efficiency or Activity Ratios; Profitability Ratios; Capital Structure Ratios; Stock
Market Ratios; Lim itations of Ratio Analysis.
04 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 Valu e(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
05 Sources of Finance: Long Term Sources —Equity, Debt, a nd 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
Approa ch; Traditional Approach, and Modigliani -Miller Approach. Relation between
Capital Structure and Corporate Value; Concept of Optimal Capital Structure 05
06 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
Total 39
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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examinat ion. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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.

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8013 Entrepreneurship
Development and
Management 03 -- -- 03 -- -- 03


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.
ILO
8013 Entrepreneurship
Development
and Management 20 20 20 80 03 -- -- 100

Objectives :
1. To acquaint with entrepreneurship and management of business
2. Understand Indian environment for entrepreneurship
3. Idea of EDP, MSME
Outcomes: Learner will be able to…
1. Understand the concept of business plan and ownerships
2. Interpret key regulations and legal aspects of entrepreneurship in India
3. Understand government policies for entrepreneurs

Module Detailed Contents Hrs
01 Overview Of Entrepreneurship: Definitions, Roles and Functions/Val ues of
Entrepreneurship, History of Entre preneurship Development, Role of Entrepren eurship
in the National Economy, Func tions 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
02 Business Plan s 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, C apital 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
03 Women’s Entrepreneurship Development, Social entrepreneurship -role and need, EDP
cell, role of sustainability and sustainable development for SMEs, case studies, exercises 05
04 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 infrastruc ture developments and support etc.,
Public private partnerships, National Skill development Mission, Credit Guarantee Fund,
PMEGP, discussions, group exercises etc 08
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05 Effective Management of Business: Issues and problems faced by micro and small
enterp rises 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
06 Achieving Success In The Small Business: Stages of th e small business life cycle, four
types of firm -level growth strategies, Options – harvesting or closing small business
Critical Success factors of small business 05
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Poornima Charantimath, Entrepreneurship development - Small Business E nterprise, 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 an d 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 S TAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomso n Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in


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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8014 Human
Resource
Management 03 -- -- 03 -- -- 03


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.
ILO 8014 Human
Resource
Management 20 20 20 80 03 -- -- 100

Objectives :
1. To introduce the students with basic concepts, techniques and practices of the human resource
management.
2. To provide opportunity of learning Human resource management (HRM) processes, related
with the functions, and challenges in the emerging perspective of today’s organizations.
3. To familiarize the students about the latest developments, trends & different aspects of HRM.
4. 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.

Outcomes: Learner will be able to…
1. Understand the concepts, aspects, techniques and practices of the human resource management.
2. Understand the Human resource management (HRM) processes, functions, changes and
chall enges in today’s emerging organizational perspective.
3. Gain knowledge about the latest developments and trends in HRM.
4. Apply the knowledge of behavioral skills learnt and integrate it with in inter personal and
intergroup environment emerging as future stab le engineers and managers.

Module Detailed Contents Hrs
01 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. 5
02 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 Perso nality Traits for
Increasing Self Awareness 7
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 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, McGr egor);
 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
03 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 style s and contemporary issues in leadership.
 Power and Politics: Sources and uses of power; Politics at workplace, Tactics
and strategies. 6
04 Human resource Planning
 Recruitment and Selection process, Job -enrichment, Empowerment - Job-
Satisfaction, employee morale.
 Performance Appraisal Systems: Traditional & modern methods, Performance
Counseling, Career Planning.
 Training & Development: Identification of Training Needs, Training Methods 5
05 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 C ultural
Communication and d iversity at work , Causes of diversity, managing diversity
with special reference to handicapped, women and ageing people, intra
company cultural difference in employee motivation. 6
06 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
Evolution of IR, IR issues in organizations, Overview of Labor Laws in India; Industrial
Disputes Act, Trade Unions Act, Shops and Establishments Act 10
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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.
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1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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, Himalay a Publishing
6. Laurie Mullins, Management & Organizational Behavior , Latest Ed, 2016, Pearson
Publications



















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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8015 Professional
Ethics and
CSR 03 -- -- 03 -- -- 03


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.
ILO 8015 Professional
Ethics and
CSR 20 20 20 80 03 -- -- 100


Objectives :
1. To understand professional ethics in business
2. To recognized corporate social responsibility
Outcomes: Learner will be able to…
1. Understand rights and duties of business
2. Distinguish different aspects of corporate social responsibility
3. Demonstrate professional ethics
4. Understand legal aspects of corporate social responsibility

Module Detailed Contents Hrs
01 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
02 Professional Ethics in the Marketplace: Perfect Competition; Monopoly Competition;
Oligopolistic Co mpetition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and Resource
Depletion; Ethics of Pollution Control; Ethics of Conserving Deple table Resources 08
03 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 J obs. 06
04 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 So cial Responsibility in India 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small and Medium Enterprises (SMEs) in India ,
Corporate Social Responsibility and Public -Private Partnership (PPP) in India 08
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06 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 A ct, 2013. 08
Total 39

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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



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 Ma tten, 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.









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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8016 Research
Methodology 03 -- -- 03 -- -- 03


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.
ILO 8016 Research
Methodology 20 20 20 80 03 -- -- 100

Objectives:
1. To understand Research and Research Process
2. To acquaint students with identifying problems for research and develop research strategies
3. To familiarize students with the techniques of data collection, analysis of data and interpretation
Outcomes: Learner will be able to…
1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings

Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postulate, Proposition, Thesis,
Hypothesis, Law, Principle. Research methods vs Methodology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteris tics of Research: Systematic, Valid, Verifiable, Empirical and Critical 09
02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quantitative Approaches 07
03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling Stages in
Sample Design Sampling methods/techniques Sampling Errors 07
04 Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research Process :
a. Identification and Selection of Research Problem 08
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b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulat ion of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report
05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availability, Choice of data, Analysis of
data, Generalization and Interpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04
Total 39

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 at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guide lines for setting up the question paper. Minimum 80% 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 .
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.


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




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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8017 IPR and
Patenting 03 -- -- 03 -- -- 03


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.
ILO 8017 IPR and
Patenting 20 20 20 80 03 -- -- 100


Objectives :
1. To understand intellectual property rights protection system
2. To promote the knowledge of Intellectual Property Laws of India as well as International treaty
procedures
3. To get acquaintance with Patent search and patent filing procedure and applications
Outcomes: Learner will be able to…
1. understand Intellectual Property assets
2. assist individuals and organizations in capacity building
3. work for development, promotion, protection, compliance, and enforcemen t of Intellectual
Property and P atenting

Module Detailed Contents Hr
01 Introduction to Int ellectual Property Rights (IPR) : Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks, Copyrights, Industrial Designs, Plant
variety prote ction, Geographical indications , Transfer of technology etc.
Importance of IPR in M odern Global Economic Environment: Theories of IPR,
Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of development 05
02 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 IP R 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
03 Emerging I ssues in IPR: Challenges for IP in digital economy, e -commerce , human
genome, biodiversity and traditional knowledge etc. 05
04 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, Patent rights and infringement , Method of
getting a patent 07
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05 Patent Rules: Indian patent act, European scenario, US sc enario, Australia scenario,
Japan scenario, Chinese scenario, Multilateral treaties where India is a member (TRIPS
agreement, Paris convention etc.) 08
06 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
Total 39

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 at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCE BOOKS :
1. Rajkumar S. Adukia , 2007, A Handbook on Laws Relating to Intellectu al 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 Pr operty 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
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual
Property Rights,
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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


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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assi gned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8018 Digital
Business
Management 03 -- -- 03 -- -- 03


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.
ILO 8018 Digital
Business
Management 20 20 20 80 03 -- -- 100


Objectives:
1. To familiarize with digital business concept
2. To acquaint with E -commerce
3. To give insights into E-business and its strategies

Outcomes: The learner will be able to …..
1. Identify drivers of digital business
2. Illustrate various approaches and techniques for E-business and management
3. 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 applications, 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 su ccessful online business and EC project, Legal, Ethics and
Societal impacts of EC 06
3 Digital Business Support services : ERP as e –business backbone, knowledge
Tope Apps, Information and referral system
Application Development: Building Digital business Applications and
Infrastructure 06
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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, Publi c 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
Total 39

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 at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper w eightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

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 Strateg y, 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 : Proceedin gs 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

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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ILO 8019 Environmental
Management 03 -- -- 03 -- -- 03


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.
ILO 8019 Environmental
Management 20 20 20 80 03 -- -- 100

Objectives :
1. Understand and identify environmental issues relevant to India and global concerns
2. Learn concepts of ecology
3. Familiarise environment related legislations
Outcomes: Learner will be able to…
1. Understand the concept of environmental management
2. Understand ecosystem and interdependence, food chain etc .
3. Understand and i nterpret environment related legislations

Module Detailed Contents Hrs
01 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
02 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
03 Concepts of Ecology: Ecosystems and interdependence between living organisms,
habitats, lim iting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role & functions of Government as a planning and
regulating agency.
Environment Quality Management and Corporate Environmental Responsibility 10
05 Total Quality Environmental Management, ISO -14000, EMS certification. 05
06 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
Total 39

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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 Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% 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 th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four quest ion need to be solved.



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





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Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 801 Optical
Communication
and Networks
Laboratory -- 02 -- -- 01 -- 01

Course
Code Course Name Examina tion Scheme
Theory Marks Term
Work Practical
and Oral Total
Internal assessment End Sem.
Exam. Test 1 Test 2 Avg.
ECL 801 Optical
Communication
and Networks
Laboratory -- -- -- -- 25 25 50

Course Objectives:

1. To make students understand a nd familiarize with different types of optical fibers.
2. To enable the students to measure the fundamental parameters such as numerical aperture,
losses dispersion for single mode and multimode fibers
3. Expose the students to realize the dynamic change in the network performance when
various sources, Amplifiers, detectors, components and fibers are incorporated.
4. In depth exposition to the point -to-point link, metro network,WDM network and DWDM
Network
5. To understand the basic concepts and challenges in free spac e optical systems

Course Outcome:

On completion of this lab course the students will be able to:

1. Acquire proficiency in identifying the different types of fibers and understanding their
properties .
2. To measure the losses, dispersion and compensation tech niques in all optical network .
3. Learn to design all optical network with amplifiers and modern lasers for error free
transmission .
4. To design or implement point to point optical fiber network, WDM or DWDM Network .
5. To design free space optical system with atm ospheric impairments and propose mitigation
technique for minimum BER .

Suggested Experiment List

 Calculation of Numerical aperture for SMF and MMF
 Calculation of dispersion for given fiber and its measurement
 Calculation of link Loss for given link
 Performance analysis of Single mode fiber
 Performance analysis of multimode fiber
 Performance Analysis of Optical Link with Different Sources
 Performance Analysis of Optical Link with Different Detectors
 Performance Analysis of Optical Amplifier
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 Designing of point -to-point optical network using tools or software
 Designing of Metro network/ WAN using tools or software
 Designing of WDM network using tools or software
 Designing of FSO using tools or software

Note: Small Project on implementation of indoor fib er optical network or free space optical network can be
considered as a part of term -work.

Term Work:

At least 08 Experiments including 02 simulations covering entire syllabus must be given during the
“Laboratory session batch wise ”. Computation/ simula tion-based experiments are also encouraged. The
experiments should be students centric and attempt should be made to make experiments more meaningful,
interesting and innovative. Application oriented one mini -project can be conducted for maximum batch of
four students.

Term work assessment must be based on the overall performance of the student with every
experiments/tutorials and mini -projects (if included) are graded from time to time. The grades will be
converted to marks as per “Choice Based Credit an d Grading System” manual and should be added and
averaged. Based on above scheme grading and term work assessment should be done.

The practical and oral examination will be based on entire syllabus.


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Major
Project-II
Major
Project-II
ECP 801
ECP 801
50
100
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