SYLLABUS
DR VISHWANATH KARAD
MIT WORLD PEACE UNIVERSITY
Faculty of Engineering & Technology
(M.Tech.)
Electronics and Communication Engineering
(Wireless Communication and Networks)
PROGRAMME STRUCTURE
Preamble:
MIT-WPU has a proud legacy of well-established School of Electronics and Telecommunication
Engineering for 37 years since 1983. The School of Electronics and Communication Engineering
(ECE) of MIT World Peace University was one of the pioneering department of the MIT, Pune and
has earned numerous laurels in last four decades. With excellent technical infrastructure, faculty,
and academic ambiance in the School, the students of ECE excel in their studies as well as in co-
curricular and extra-curricular activities.
The School of Electronics and Communication Engineering offers very focused and specialized
masters programs (M. Tech.). One of the important objectives of this program is to create Industry
ready professionals to work and research in the emerging areas of electronics, information and
communication technologies.
This Two Year Full-time Masters programs comprises of core courses, electives, seminars, peace
related courses and a dissertation along with the internship. The students are offered wide variety
of electives so that they become industry ready and get specialized in the areas of their choice.
The M. Tech. students are also involved as Teaching Assistants for teaching undergraduate
students and for research. While studying theory courses, the students undergo laboratory practice
for the courses they have studied. In addition to regular electives taught in the classes, along with
M. Tech. dissertation, the students choose open electives of their choice to sharpen their skills. The
students can either take up full-time research project or Industry project or combination of these for
two trimesters.
M. Tech. Research laboratories are equipped with the state-of-the-art infrastructure including
efficient computing platforms, advanced hardware boards and equipment, various licensed and
open source software tools required for research purpose. They have to publish at least one
research paper prior to submitting M. Tech. dissertation. Currently, the School offers two years
full-time masters programs in:
� M. Tech. in Electronics and Communication Engineering with specialization in VLSI and
Embedded Systems
� M. Tech. in Electronics and Communication Engineering with specialization in Wireless
Communication and Networks.
Prof. Dr. Vinaya Gohokar Chairman, BoS in Electronics and Communication Engg.
Professor and Head, School of ECE
Prof. Dr. P.D.Khandekar Dean,
Faculty of Engineering Technology
Vision and Mission of the Programme MIT-WPU Vision
• To be leading university of excellence, promoting the `culture of peace through value based
‘Universal Education System’ with a firm belief that `Union of science and Religion
/spirituality alone will bring peace to mankind`
• To be a world class space of intellectual distinction in creating extensively trained
professionals who will stand for eternal human values and world peace as complete global
citizens.
MIT-WPU Mission
• To create a synergy of academics with technology with research, research with industry,
industry with economy and economy with social innovation, leading to world peace and
positive change in the society.
• To identify, enhance, hone and nurture the strength of every student to apply scientific
knowledge to touch the life of human beings.
• To foster the spirit of inquiry and imagination in students to push the envelope of human
knowledge and come up with innovative and ground breaking solution for well- being of
the world.
• To create value and intellectual capital for society that will act as a prime mover for
development of society.
• To promote the `idea of India` by sensitizing students about the ethos of democracy, vision
of leadership and culture of good governance.
• Co creation and partnership with individuals and organizations that can support students
realize their supreme potential.
Vision FOE:
• To be globally recognized leader in Engineering Education having constructive impact on
society.
Mission FOE:
• To achieve academic excellence through continuously updated education (CUEd)
• To create environment of Engineering research and social innovation through transdisciplinary
centers of excellence.
• To strengthen partnerships with industry research and social organization
• To promote universal value based professional education.
Prof. Dr. P.D.Khandekar Dean, FoET
Vision: School of Electronics and Communication Engineering
• To be recognized leader in Electronics and Communication Engineering education and
research with emphasis on social and ethical values.
Mission: School of Electronics and Communication Engineering
• To provide an excellent academic environment for quality education and knowledge
generation in the field of electronics and allied fields
• To foster a culture of inter-disciplinary research and innovation
• To develop entrepreneurs and leaders to meet growing challenges of the industries
Programme Educational Objectives
The Electronics and Communication Engineering Graduates will excel in their chosen careers by:
PEO-1: Exhibiting the ability to tackle trans-disciplinary engineering problems with global
competencies.
PEO- 2: Having a quest for leadership qualities.
PEO-3: Contributing for the betterment of the society through technology.
Prof. Dr. P.D.Khandekar
Dean, FoET
Programme Specific Outcomes (PSOs)
Engineering Graduates will be able to:
• PSO1: Design and test electronic modules for engineering systems
• PSO2: Apply programming skills for solving intra/inter disciplinary problems
• PSO3: Demonstrate competency for developing Internet of things based systems
Foundation / Orientation Programme
The students admitted to the M.Tech. Electronics and Communication Engineering program
belong to variety backgrounds and possess different levels of technical awareness. A one day
orientation program is conducted for the students to get acquainted with the overall program, extra-
and co-curricular activities along with employment avenues. Students are briefed about the
contemporary scenario in the industry, academics and research. The orientation program helps the
students to make a choice about the tracks by selecting the relevant electives which will help them
in their career.
Prof. Dr. P.D.Khandekar
Dean, FoET
Programme Structure:
(a) Programme duration: 2 Years.
(b) System followed: Trimester
(c) Credits System:
(i) Per term or per year, as applicable
(ii) Total in the programme, as applicable
(d) Credits for activities other than academics -Not Applicable
(e) Internship: Not Applicable
(f) Assessment Criteria: As per Norms of MIT-WPU
(g) Branches or Specializations: Electronics and Communication Engineering. –
Wireless Communication and Networks
(h)Mandatory Attendance to appear for examination: <90>% (Para 13.1. of AO: 2017)
(j) Medium of Instruction and Examination: In all the Academic Programs, the medium of
instruction and examination shall be English.
(k) Eligibility criteria for admission to the programme (as per para 4 of AO 2017)
Prof. Dr. P.D.Khandekar
Dean, FoET
M. Tech Courses in Electronics and Communication Engineering
Wireless Communication and Networks
2021-23 A. Definition of Credit:-
3 Hours. Lecture / Tutorial perweek 2 Credits
2 Hours Practical (Lab) per week 1 Credit
B. Credits:-
Total number of credits for two year M.Tech. Electronics and Communication Engineering –
Wireless Communication and Networks Programme would be 80.
Year Trimester I Trimester II Trimester III Total
FY M Tech 13 14 13 40
SY M Tech 14 13 13 40
Total :40+40 = 80
C. Structure of Credits for Postgraduate M.Tech. Electronics and Communication
Engineering – Wireless Communication and Networks:
Sr.
No. Category
Suggested Break up
of Credits (Total 80)
1 Humanities and Social Sciences and Peace Courses (WP) 06
2 Engineering Science Courses (ES) 02
3 Professional Core Courses (PC) 24
4 Professional Elective courses relevant to chosen
specialization/branch (PE) 09
5 Professional Elective courses inter-disciplinary (Inter-
Disciplinary) 02
6 Professional Open Elective - Online (OPE/MOOC) 04
7 Study/Minor Project (Inter-Disciplinary)(PC) 02
8 Project Stage, Seminar, Lab Practice (PC) 31
Total 80
Prof. Dr. P.D.Khandekar Dean, FoET
D. Course code and definition:-
E. Grading Scheme:
(According to Para 12.1 of Academic Ordinances 2017)
Course code Definitions
L Lecture
T Tutorial
ES Engineering Science Courses
WP Humanities and Social Sciences and Peace Programs
including Management courses
ME Mechanical Engineering Course
EC Electronics and Communication
EE Electrical Engineering
CH Chemical Engineering
CS Computer Science and Engineering
PO Polymer Engineering
CE Civil Engineering
PE Petroleum Engineering
Prof. Dr.P.D.Khandekar Dean, FoET
Page 9 of 92
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Page 10 of 92
First Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23) Trimester – I
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 270 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - I: 13 #LCA: Laboratory Continuous Assessment
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No
.
Course
Code Name of Course Type
Total Hrs Credits Assessment Marks**
Theory Tutorial Lab Th Lab CCA* LCA# ETT Total
1 FET5001A Research Methodology ES 30 -- -- 2 -- 50 -- 50 100
2 ECE5016A Advanced Communication Networks PC 30 -- 30 2 1 50 50 50 150
3 ECE5017A Signal Analysis for Communication
Systems PC 30 -- 30 2 1 50 50 50 150
4 UPS6002A World Famous Philosophers,
Sages/Saints & Great Kings WP 30 -- -- 2 -- 70 -- 30 100
5 ECE5018A Seminar PC -- -- 30 -- 1 -- 50 -- 50
6 ECE5019A Software Lab PC -- -- 60 -- 2 -- 50 50 100
Total : 120 -- 150 8 5 220 200 230 650
Page 11 of 92
First Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23)
Trimester – II
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 270 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - II: 14 #LCA: Laboratory Continuous Assessment
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No.
Course
Code Name of Course Type
Total Hrs Credits Assessment Marks **
Theory Tutorial Lab Th Lab CCA* LCA# ETT Total
1 ECE5023A Wireless and Cellular
Communications PC 30 -- 30 2 1 50 50 50 150
2 ECE5024A Routing Algorithms and Protocols PC 30 -- 30 2 1 50 50 50 150
3 ECE5025A Adhoc and Sensor Networks PC 30 -- 30 2 1 50 50 50 150
4 ECE5028A/
ECE5029A Elective I PE 30 -- 30 2 1 50 50 50 150
5 UPS6004A Philosophy of Science & Religion /
Spirituality WP 30 -- -- 2 -- 70 -- 30 100
Total : 150 -- 120 10 4 270 200 230 700
Page 12 of 92
First Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23)
Trimester – III
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 270 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - III: 13 #LCA: Laboratory Continuous Assessment
Prof. V. S. Jadhav
PG Coordinator,School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No
.
Course
Code Name of Course Type
Total Hrs Credits Assessment Marks**
Theory Tutorial Lab Th Lab CCA* LCA# ETT Total
1 ECE5031A Advanced 4G & 5G Wireless
Technologies PC 30 -- 30 2 1 50 50 50 150
2 ECE5032A/
ECE5034A/ Elective II PE 30 -- 30 2 1 50 50 50 150
3 ECE5037A/
ECE5038A Elective III PE 30 -- 30 2 1 50 50 50 150
4 UPS6003A
Study of Languages, Peace in
Communication & Human
Dynamics
WP 30 -- -- 2
-- 70 -- 30 100
5 ECE5039A Minor Project Inter-
Disciplinary -- -- 60 -- 2 -- 50 50 100
120 -- 150 8 5 220 200 230 650
Page 13 of 92
Second Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23)
Trimester – IV
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 330 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - IV: 14 #LCA: Laboratory Continuous Assessment
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No. Course Code Name of Course Type
Total Hrs Credits Assessment Marks**
Theory Tutorial Lab Th Lab CCA* LCA# ETT Total
1 ECE6003A Internet of Things PC 30 -- 30 2 1 50 50 50 150
2 ECE6004A Software Defined
Networks PC 30 -- 30 2 1 50 50 50 150
3 ECE6007A/
ECE6008A Elective IV
Inter-
Disciplinary 30 -- -- 2 -- 50 -- 50 100
4 ECE6009A Project Stage-I PC -- -- 180 -- 6 -- 50 50 100
Total : 90 -- 240 6 8 150 150 200 500
Page 14 of 92
Second Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23)
Trimester – V
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 360 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - V: 13 #LCA: Laboratory Continuous Assessment
+ExternalOral Exam based on the ProjectStage-II work at the end of Trimester
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No. Course Code Name of Course Type
Total Hrs Credits Assessment Marks**
Theory Tutorial Lab Th Lab CCA* LCA# ETT Total
1
Elective V OPE 30 -- -- 2 -- 50 -- 50 100
2 ECE6010A Project Stage-II PC -- -- 330 -- 11 -- 100 50+ 150
Total : 30 -- 330 02 11 -- 100 100 250
Page 15 of 92
Second Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and
Networks) (Batch 2021-23)
Trimester – VI
**Assessment Marks are valid only if Attendance criteria are met
Trimester Teaching Hours: 360 Hours * CCA: Class Continuous Assessment
Total Credits First Year M. Tech Trimester - VI: 13 #LCA: Laboratory Continuous Assessment
##ETT: End Term Test
+ External Oral Exam based on the ProjectStage-III work at the end of Trimester
Total M. TechCredits: 40 + 40 = 80
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Sr.
No. Course Code Name of Course Type
Total Hrs Credits Assessment Marks**
Theory Tutorial Lab Th Lab CCA* LCA# ETT
## Total
1 Elective VI MOOC 30 -- -- 2 -- 100 -- -- 100
2 ECE6011A Project Stage-III PC -- -- 330 -- 11 -- 100 100+ 200
Total : 30 -- 330 2 11 100 100 100 300
Page 16 of 92
M.Tech. (Electronics & Communication Engg. – Wireless Communication and Networks)
(Batch 2021-23)
List of Elective Courses
Elective Course Code Title Course Code Title
Elective I
ECE5028A Optical and Satellite Communication ECE5029A Network Programming
Elective II ECE5032A Artificial Intelligence Techniques
and Applications
ECE5034A RF Systems for Wireless
Elective III ECE5037A Network and Service Management
ECE5038A Cognitive Radio
Elective IV
ECE6007A Wireless Network Security ECE6008A Mobile Computing
Elective V*
Online Professional Elective
Elective VI**
MOOC Course
*Elective V:Online Professional Elective (OPE) Courses (*Preapproved) (End Term Test theory examination for 50 marks)
** Elective VI: MOOC Course
• MOOC Course: NPTEL preferred- to be completed by students in Trimester IV, V or VI as per convenience (i.e. in the Second Year of program only)
• MOOC Course should be approved by PG Coordinator and HoS of respective School
• Equivalent marks based on MOOC completion by individual to be considered for giving CCA marks out of 100
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Page 17 of 92
M. Tech. (Electronics & Communication Engg. – Wireless Communication and Networks)
(Batch 2021-23)
Distribution of Credits
Year of Study Trimester Credits
(Theory)
Credits
(Practical)
Total Credits Total Marks
First Year M.Tech.
(Electronics and
Communication Engg –
Communication Networks
and Software)
I 8 5 13 650
II 10 4 14 700
III 8 5 13 650
Second Year M.Tech.
(Electronics and
Communication Engg –
Communication Networks
and Software)
IV 6 8 14 500
V 2 11 13 250
VI 2 11 13 300
Total: 36 44 80 3050
Prof. V. S. Jadhav
PG Coordinator, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, Pune.
Prof. Dr. Vinaya Gohokar
HoS, School of ECE
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Prof. Dr. P. D. Khandekar
Dean,
Faculty of Engg. & Tech.
MIT-WPU, PUNE.
Page 18 of 92
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Page 19 of 92
COURSE STRUCTURE
Course Code FET5001A
Course Category ES
Course Title Research Methodology
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites:
1. Statistical techniques
2. Probability Theory
3. Communication Skills
Course Objectives: 1.Knowledge (i) To give an insight into research Process.
2.Skills (i) To acquaint students with identifying problems for research and develop
Research strategies.
(ii) To familiarize students with the techniques of data collection, analysis of
data and interpretation
3.Attitude (i) To provide an idea about technical report writing and ethics.
Course Outcomes: After completion of this course students will be able to
1. Prepare a research proposal for projects in their area of interest.
2. Accurately collect, analyze, interpret and report data.
3. Review and analyze research findings.
4. Understand ethical issues and instill confidence and professional pride in research scholars.
Course Contents:
• Understanding Research Methodology Objectives of research, Issues and problems in research, Characteristics of good research,
Types, Stages in scientific research process, Experimental skills, Types of errors, Various
graphical representation techniques, Study of important instruments.
• Literature Review Primary and secondary sources, Journals, Monographs-patents, Web as a source, Searching
the web, Reading research paper, Reporting literature search, Identifying gap areas from
literature review, Formulation of hypothesis, Writing review paper, Manuscript preparation.
• Data Collection, Analysis and Interpretation Classification of data, Databases and indexes, Methods of data collection, Sampling, Sampling
techniques procedure and methods, Data analysis, Statistical techniques and choosing an
appropriate statistical technique, Data processing and presentation software, Statistical
inference, Interpretation of results.
• Technical Writing and Reporting of Research Efficient communication, oral communication, written communication, presentation skills,
Referencing and referencing styles for research journal, Documentation and presentation
tools, Indexing and citation of journals, Research proposal preparation, Budgeting,
Presentation, Funding agencies for engineering research, Intellectual property (IPR),
Plagiarism, Ethical considerations in research.
Page 20 of 92
Laboratory/Assignment Exercises: 1. Plot the given data in various ways and find statistical Parameters and interpret the result.
2. Read a research paper, understand Manuscript preparation steps and write your own
conclusion on it.
3. Write a review paper and find Plagiarism report.
4. Write Research proposal in the area of your interest using documentation and presentation
tools and present it.
Learning Resources:
Reference Books: 1. Kumar Ranjit, Research Methodology - A Step-by-Step Guide for Beginners. Second
Edition, Singapore: Pearson Education, 2005
2. B. L. Garg, R. Karadia, F. Agarwal, and U. K. Agarwal, An introduction to Research
Methodology. RBSA Publishers, 2002
3. R. Ganeshan, Research Methodology for Engineers. MJP Publishers, 2011
4. C. R. Kothari, Research Methodology: Methods and Techniques. New Age
International, 1990
Supplementary Reading: 1. David V. Thiel, Research Methods for Engineers. First Edition, Cambridge University Press,
2014
Web Resources/Weblinks:
1. https://www.slideshare.net/mssridhar/introduction-to-research-methodology-presentation
2. https://www.youtube.com/watch?v=TGlGn1HRDAM
MOOCs: 1. Methodology for design research: http://nptel.ac.in/courses/107108011/
2. Introduction to Research: http://nptel.ac.in/courses/121106007/
Pedagogy: ���� Power Point Presentation
���� Videos
���� Group Discussion
���� Group Proposals
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Term End Examination : 50 Marks
Page 21 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Understanding Research Methodology: Objectives of research, Issues and problems in research,
Characteristics of good research, Types, Stages in scientific
research process, Experimental skills, Types of errors,
Various graphical representation techniques, Study of
important instruments.
8 6 2
2
Literature Review: Primary and secondary sources, Journals, Monographs-
patents, Web as a source, Searching the web, Reading
research paper, Reporting literature search, Identifying gap
areas from literature review, Formulation of hypothesis,
Writing review paper, Manuscript preparation.
7 6 1
3
Data Collection, Analysis and Interpretation : Classification of data, Databases and indexes, Methods of
data collection, Sampling, Sampling techniques procedure
and methods, Data analysis, Statistical techniques and
choosing an appropriate statistical technique, Data
processing and presentation software, Statistical inference,
Interpretation of results.
8 6 2
4
Technical Writing and Reporting of Research : Efficient communication, oral communication, written
communication, presentation skills, Referencing and
referencing styles for research journal, Documentation and
presentation tools,Indexing and citation of journals,
Research proposal preparation, Budgeting, Presentation,
Funding agencies for engineering research, Intellectual
property (IPR), Plagiarism, Ethical considerations in
research.
7 6 1
Page 22 of 92
COURSE STRUCTURE
Course Code ECE5016A
Course Category PC
Course Title Advanced Communication Networks
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Fundamentals of Computer Networks
Course Objectives: 1.Knowledge (i) To understand state-of-the-art in network protocols, architectures and
protocols
(ii) To understand Advanced network architectures and Protocols
(iii) To understand different types of networks with all details.
2. Skills (i) To provide theoretical and practical base in computer networks
(ii) To design and analyze a network.
(iii) To apply different types of protocols depending on the applications.
3. Attitude (i) To provide balanced view of all important elements of networking
Course Outcomes: After completion of this course students will be able to
1. Describe fundamental underlying principles in computer networking (CL II)
2. Analyze the requirements for a given organizational structure (CL IV)
3. Implement knowledge of installing and configuring networking applications (CL III)
4. Distinguish Pros and Cons of existing protocols (CL IV)
5. Demonstrate advanced topics such as MPLS, QoS over IP, SIP and Real Time Transport
Protocol (CL II)
Course Contents:
• Networks and Layered Architecture: Approaches to Network Design, Applications and
Layered Architectures, OSI Model, TCP/IP Architecture, Berkeley API, TCP/IP Utilities,
Transmission Systems, SONET, WDM, Signalling, Cellular Networks, Satellite Networks.
• LAN and MAC Protocols: Peer to Peer Protocols, ARQ Protocols, Data Link Controls, Local
Area Networks and Media Access Control Protocols, Random Access, Scheduling
Approaches, Channelization, LAN Standards, LAN Bridges.
• TCP/IP Protocol Architecture: Packet Switching Networks, Routing in Packet Networks,
Shortest Path Algorithms, ATM Networks, Traffic Management and QoS, Congestion
Control, Internet Protocols, IPv6, UDP, TCP, DHCP, Internet Routing Protocols, Multicast
Routing
• Advanced Networked Architectures: Advanced Network Architectures, Overlay Model,
MPLS, Integrated Services, Differentiated Services, Real Time Transport Protocol (RTCP),
Session Control Protocols, SIP, H.323 Multimedia Communication System, Media Gateway
Control Protocols
Page 23 of 92
Learning Resources:
Reference Books:
1. A. L. Garcia and I. Widjaja, Communication Networks - Fundamental Concepts and Key
Architectures. NY: McGraw Hill, USA, 2006
2. J. F. Kurose and K. W. Ross, Computer Networks - A Top Down Approach Featuring the
Internet. Second Edition, Pearson, 2003
Supplementary Reading:
1. Anurag Kumar, D.Manjunath, and Joy Kuri, Communication Networking. Morgan
Kaufmann, 2011
Pedagogy:
���� Power Point Presentations
���� Videos
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA):50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%) 20(40%) 10(20%)
Term End Examination : 50 Marks
Laboratory Exercises / Practical:
1. Study of Packet tracer
2. Cisco Router Configuration using Packet Tracer RIP
3. Protocol Analysis
4. Network Address Translation
5. IP Addresses Subnetting and CIDR
6. Study of DHCP
7. DNS and SMTP
8. Access control List
Page 24 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Networks and Layered Architecture: Approaches to
Network Design, Applications and Layered Architectures,
OSI Model, TCP/IP Architecture, Berkeley API, TCP/IP
Utilities, Transmission Systems, SONET, WDM, Signalling,
Cellular Networks, Satellite Networks.
8 6 2
2
LAN and MAC Protocols: Peer to Peer Protocols, ARQ
Protocols, Data Link Controls, Local Area Networks and
Media Access Control Protocols, Random Access,
Scheduling Approaches, Channelization, LAN Standards,
LAN Bridges.
7 6 1
3
TCP/IP Protocol Architecture: Packet Switching
Networks, Routing in Packet Networks, Shortest Path
Algorithms, ATM Networks, Traffic Management and QoS,
Congestion Control, Internet Protocols, IPv6, UDP, TCP,
DHCP, Internet Routing Protocols, Multicast Routing
8 6 2
4
Advanced Networked Architectures: Advanced Network
Architectures, Overlay Model, MPLS, Integrated Services,
Differentiated Services, Real Time Transport Protocol
(RTCP), Session Control Protocols, SIP, H.323 Multimedia
Communication System, Media Gateway Control Protocols
7 6 1
Page 25 of 92
COURSE STRUCTURE
Course Code ECE5017A
Course Category PC
Course Title Signal Analysis for Communication Systems
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Course Objectives:
1.Knowledge (i) To understand the principles of probability theory, random variable, random
process , queuing theory.
2.Skills (i) To model the events and processes for computing various statistical parameters.
3.Attitude (i) To analyze different random processes.
(ii) To compute delays with queuing models.
Course Outcomes: After completion of this course students will be able to
1. Apply the mathematical framework of probability theory for random variable analysis. (CL-II)
2. Compute the statistical parameters of random variables.(CL-II)
3. Evaluate the statistical parameters of stochastic processes to analyse their properties. (CL-III)
4. Determine the delays in queuing models for comparing different networks.(CL-III)
Course Contents:
• Probability and Random Variable
Probability, Approaches Relative frequency, Joint and conditional probability, Bayes
theorem, Independent events, Permutations and Combinations, Random variables, Cumulative
probability distribution function, Probability density function, Gaussian random variable,
Binomial, Poisson, Uniform, Exponential and Rayleigh distribution and density functions
• Operations on Random Variable:
Introduction, Expected value, Moments, Central Moments, Skew and Kurtosis, Characteristic
function, Moment generating function, Transformations of a random variable, Computer
generation of a random variable, Multiple random variables, Joint distribution and its
properties, Joint density and it’s properties, Central limit theorem
• Stochastic Processes
Definitions, Classification of processes, Stationary Processes–Strict sense stationary (SSS) &
Wide sense stationary (WSS) process, Time Averages and Ergodicity, Correlation functions-
Autocorrelation, Cross-Correlation, Covariance, Poisson Process, Gaussian Process, Power
Spectrum, Spectrum Estimation
• Delay Models in Data Networks
Littles Theorem, M/M/1 Queueing System, M/M/m, M/M/m/m, M/M/∞, M/G/1 queuing
models-Networks of Transmission lines, Time reversibility-Burke’s theorem, Network of
Queues-Jackson’s theorem
Page 26 of 92
Laboratory Exercises / Practical:
1. Finding suitable distribution for the real data.
2. Determine the statistical parameters of a real data.
3. Transformation of random variable.
4. Spectrum estimation of random process.
5. Fundamental frequency determination of speech signal using autocorrelation.
6. Implementation of queuing model M/M/1.
7. Case study of an application of queuing theory for real scenarios.
Learning Resources:
Reference Books:
1. P. Z Peebles, Probability, Random Variables and Random Signal Principles. Tata McGraw
Hill, Second Edition
2. S. Papoulis and U. Pillai, Probability, Random Variables and Stochastic Processes. Tata
McGraw Hill
3. D. Bertsekas and R. Gallager, Data Networks. Second Edition, NJ: Prentice Hall,USA, 1992
Supplementary Reading:
1. Aaron Kershenbaum, Telecommunications Network Design Algorithms. McGraw Hill,1993
Pedagogy:
���� Power Point Presentations, Videos
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%) 20(40%) 10(20%)
Term End Examination : 50 Marks
Page 27 of 92
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Probability and Random Variable: Probability, Approaches
Relative frequency, Joint and conditional probability, Bayes
theorem, Independent events, Permutations and Combinations,
Random variables, Cumulative probability distribution
function, Probability density function, Gaussian random
variable, Binomial, Poisson, Uniform, Exponential and
Rayleigh distribution and density functions
7 6 1
2
Operations on Random Variable: Introduction, Expected
value, Moments, Central Moments, Skew and Kurtosis,
Characteristic function, Moment generating function,
Transformations of a random variable, Computer generation of
a random variable, Multiple random variables, Joint
distribution and its properties, Joint density and it’s properties,
Central limit theorem
8 6 2
3
Stochastic Processes: Definitions, Classification of
processes, Stationary Processes–Strict sense stationary (SSS)
& Wide sense stationary (WSS) process, Time Averages and
Ergodicity, Correlation functions- Autocorrelation, Cross-
Correlation, Covariance, Poisson Process, Gaussian Process,
Power Spectrum, Spectrum Estimation
8 6 2
4
Delay Models in Data Networks: Littles Theorem, M/M/1
Queueing System, M/M/m, M/M/m/m, M/M/∞, M/G/1
queuing models-Networks of Transmission lines, Time
reversibility-Burke’s theorem, Network of Queues-Jackson’s
theorem
7 6 1
Page 28 of 92
COURSE STRUCTURE
Course Code WPC101A
Course Category WP
Course Title World Famous Philosophers, Sages/ Saints and Great
Kings
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites: 10 + 2 Level
Course Objectives:
1. To introduce students to the most prominent school of Indian Philosophy “Vedanta” and
other great Indian Philosophers.
2. To provide an insight into the sub-schools of Vedanta – Advaita, Vishishtadvaita and
Dvaita.
3. To attempt to explore the teachings of some great Indian Philosophers and develop a
spiritual and philosophical approach to understand and respond effectively to deal with
modern day challenges.
4. Understand the immense contribution of the great sons of India towards the country and its
people.
5. Historical and Philosophical perspective towards the kings and dynasties which ruled the
holy land of India.
6. Knowing more about these warriors and progressive rulers with administrative intelligence,
prowess and political skills.
Course Outcomes:.
After completion of this course students will be able to
1. Understand and formulate for themselves a Philosophy of Life or world views consistent
with these great Indian Philosophers.
2. To develop a critical evaluation of Indian Philosophy and a better understanding of our
ancient texts, heritage and culture.
The students will also know that India has witnessed enlightened Kings, who could bring
the greatest benediction possible to their people.
3. The students will know about the valour and bravery of our great Kings and their dynasties,
which, in turn, will inspire them to handle their own life situations in open and fearless
ways.
4. The students will learn the grandeur and splendour of Indian history which will make them
feel proud of their heritage.
Course Contents:
• Philosophers: Adi Shankaracharya, Swami Vivekananda, Shri Aurobindo,
ParamhansaYogananda, Mahatma Gandhi, Socrates, Plato, Aristotle, Karl Marx.
• Sages/Saints: Saint Dnyaneshwara,Saint Tukaram, Samartha Ramdas Swami, Saint Kabir,
RamanaMaharshi, Saint Gadgebaba.
• Great Kings: Chandragupta Maurya, SamratAshoka, Harshavardhan, Chhatrapati Shri
Shivaji Maharaj, MaharanaPratap, Akbar the Great, Alexander the Great
Page 29 of 92
Learning Resources:
Reference Books
1. AdiShankara – The Jagad Guru, His Life and Philosophy; By Shantha N. Nair
2. Swami Vivekananda - The Living Vedanta; By ChaturvediBadrinath
3. Sri Aurobindo – A Brief Biography; By Peter Heehs
4. Autobiography of a Yogi; By ParamhansaYogananda
5. Rabindranath Tagore – A Biography; By Uma Das Gupta
6. Shri ChaitanyaCharitamrita; By Purnaprajna Das
7. Life of Sri Ramanuja; By Swami Ramakrishnananda Supplementary Reading:
1 Biography of Rabindranath Tagore – Ramesh Publishing House, New Delhi
2 Biography of Dr. S. Radhakrishnan – Ramesh Publishing House, New Delhi
Web Resources:
1. www.youtube.com
2. www.shodhganga.com
MOOCs:
Not applicable
MIT Opencourseware
Pedagogy:
1. Co-teaching
2. Group activity
3. Audio- video techniques
4. Tutorials and class tests
Page 30 of 92
Assessment Scheme:
Class Continuous Assessment (CCA): 70 Marks
Biography/Journal Film
Appreciation
Group Activity
& Initiative
Learning from
Subject
(2 Assignments)
Attendance
25 Marks 10 Marks 10 Marks
20 Marks
05 Marks
Laboratory Continuous Assessment (LCA): NA
Regularity and
punctuality
Understanding
of objective
Understanding
of procedure
Experimental
skills
Ethics
- - - - -
Term End Examination : 30 Marks (MCQ Online)
SYLLABUS
Lecture
No.
Topics to be covered in the
course Learning Outcome/Questions to elicit
1 Introduction to Philosophers,
Sages/Saints and Great Kings Understanding the scope of the subject
2
Samrat Ashoka
Understanding the process of transformation of human
being from violence to non-violence
3 MaharanaPratap Shows the qualities of MaharanaPratap that are
important in life.
4 Chhatrapati Shri Shivaji
Maharaj Motivate students to apply the values in life
5 Chhatrapati Shri Shivaji
Maharaj
What are the important qualities essential in life to
succeed
6 Chandragupta Maurya Recall the history of Maurya empire
7 Harshavardhan Tell the students about Pushybhuti dynasty.
8 Akbar the Great Students can able to relate Akbar with other kings of
Mughal empire
9 Alexander the Great Students can be able to find out contrast in life from
Alexander’s life.
10 Saint Dnyaneshwara Students are able to apply the knowledge of
Dnyaneshwarisutras in their life.
11 Saint Tukaram Students are able to apply the knowledge of Gatha
sutras in their life.
12 Samartha Ramdas Swami Students are able to apply the knowledge of Dasbodh
sutras in their life.
Page 31 of 92
13 Saint Kabir Demonstration of Hindu Muslim unity
14 Ramana Maharshi What is the importance of silence?
15 Saint Gadgebaba Demonstrate students about dignity of labor.
16 Adi Shankaracharya Recall the philosophy of advaitvedanta
17 Swami Vivekananda Explains students a relation between science and
spirituality.
18 Swami Vivekananda Motivate students to apply the knowledge in life
19
Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate our
thoughts and feelings.Explain how cinema as a visual
medium, engages with us in constructing meaning.
20
Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate our
thoughts and feelings.Explain how cinema as a visual
medium, engages with us in constructing meaning.
21 Shri Aurobindo Tells about the journey from a revolutionary
To philosopher.
22 ParamhansaYogananda Illustrate students about a path of Kriyayoga.
23
Mahatma Gandhi
(Role in freedom
Struggle)
What is Mahatma Gandhi’s role in freedom struggle?
24 Mahatma Gandhi
(Philosophy)
Explains students about Mahatma Gandhi’s experiments
with truth.
25 Socrates, Plato and
Aristotle Recall the history of philosophy.
26 Socrates, Plato and
Aristotle
Students able to compare between philosophies of these
three great philosophers.
27 Karl Marx Students are able to understand about socialism.
28 Presentations – Biography Motivates students in their life
29 Presentations – Group
Activity
By making use of different qualities students are able to
perform group activities.
30 Learning from Subject
(Assignment)
Importance of different qualities, values in life will be
described by students in their own words.
Page 32 of 92
COURUSE STRUCTURE
Course Code ECE5018A
Course Category PC
Course Title Seminar
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 30 0+0+1
Course Objectives:
1. Knowledge: To refer articles published in current journals in interdisciplinary area / latest
trends in technology for choosing their seminar topics.
2. Skills: To review minimum of 5 to 6 research papers relevant to the topic chosen, in addition
to standard textbooks, handbooks, etc.
3. Attitude: To communicate technical information in a professional manner by written and oral
means.
Course Outcomes:
After completion of this course students will be able to
1. Select a interdisciplinary topic / latest trends in relevant technology of interest (CL II)
2. Examine a critical review of the literature on the chosen topic (CL IV)
3. Make and present a technical report (CL VI)
Seminar I should be on a latest interdisciplinary topic of student’s own choice approved by the
concerned Guide. Student should present their seminar topic and submit a seminar report in standard
format, certified by concerned authority.
Assessment Scheme:
Laboratory Continuous Assessment (LCA):50 Marks
Literature Survey/
Report
Presentation Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Page 33 of 92
COURSE STRUCTURE
Course Code ECE5019A
Course Category PC
Course Title Software Lab
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 60 0+0+2
Pre-requisites:
1. Experience with programming in C or C++
2. Knowledge of microprocessor architecture, compilers and OS
3. Exposure to linux
Course Objectives:
1. Knowledge (i) Explore the high level languages, paradigms and platforms
(ii) Demonstrate knowledge of software development methodologies and cloud computing
services
2. Skills (i) Analyze and compare the complexity of the various algorithms
(ii) Develop skills in industry standard programming development practices
(iii) Build up skills cloud computing, it’s services and implementation
3. Attitude (i) Emphasize the good practices in the software programming and practices
Course Outcomes: After completion of this course students will be able to
1. Understand trade-offs between different languages, paradigms and platforms (CL-II)
2. Translate high-level algorithms into software implementations (CL-III)
3. Design maintainable, extensible and efficient implementations (CL-IV, CL-V)
Demonstrate a working knowledge of cloud computation, python and object-oriented
development (CL-III)
Course Contents:
• Syntax and semantics of Python Variables, data types, functions and modules. Libraries: NumPy, SciPy, Pandas and
matplotlib
• Object Oriented Design and Network Programming Python classes and objects, modeling with UML: Modeling Concepts and Diagrams
Python CGI programming, Database Access, Network Programming using Sockets, Python
Internet Modules: HTTP, FTP, SMPT, POP3 etc.
• Algorithms and Analysis Basic algorithm analysis –Asymptotic analysis of complexity bounds– best, average and
worst-case behaviour, standard notations for expressing algorithmic complexity. Empirical
measurements of performance, time and space trade-offs in algorithms, searching algorithms
and analysis, sorting algorithms and analysis
Page 34 of 92
• Cloud Computing Cloud Computing Basics, Cloud deployment models, Cloud service models, overview of
different platforms (AWS, Azure, GCP), creating and destroying an instance on Google cloud
platform, using git, github, slack and agile methodologies.
Laboratory Exercises / Practical:
1. Program in python using array, matrix, string, dictionary, Tuples etc.
2. Program in python to create, write and read a .csv file using list and dictionary
3. Program in python using NumPy library to perform following operations on array-
i) stacking ii) slicing iii) broadcasting iv) linear algebra iv) solving of linear equation and
vi) linear regression using least square method.
4. Program in python using SciPy library to perform following operations on array-
i) Single and double Integration ii) clustering iii) FFT iv) interpolation
5. Program in python based on the concept of class, object, inheritance etc.
6. To design and analyze an application using UML modeling as fundamental tool
7. Program to implement client-server model for chatting, blocking I/O, showing I/O
multiplexing
8. Program in python to implement various searching (binary, indexed) and sorting (quicksort,
mergesort) methods. Perform the algorithm analysis based on best case, worst case and
average case.
9. Study of creating and destroying an instance on Google Cloud Platform (GCP) using github
10. Study of various software development methodologies like git, github, slack and agile.
11. Development of an application based on the concepts learned in the course.
Learning Resources:
Reference Books:
1. Mark Summerfield, “Programming in Python 3: A Complete Introduction to the Python
Language,” Pearson Eductaion, ISBN-13: 978-0321680563, ISBN-10: 0321680561
2. Robert Johansson, “Numerical Python,” Apress, ISBN-13: 978-1484242452, ISBN-
10: 1484242459
3. Brandon Rhodes, “Foundations of Python Network Programming,” 3rd Ed., Apress,
ISBN-13: 978-1430258544, ISBN-10: 1430258543
Supplementary Reading:
1. Reema Thareja, “Python Programming Using Problem Solving Approach”, Oxford
University Press, ISBN 13: 978-0-19-948017-6
Web Resources /Web-links:
https://www.tutorialspoint.com/python/python_networking.htm
MOOC
https://nptel.ac.in/courses/106/106/106106145/
Page 35 of 92
Module
No. Contents
Workload in Hrs
Theory Lab Assess
Syntax and semantics of Python Variables, data types, functions and modules. Libraries:
NumPy, SciPy, Pandas and matplotlib
-- 12 3
Object Oriented Design and Network Programming Python classes and objects, modeling with UML: Modeling
Concepts and Diagrams
Python CGI programming, Database Access, Network
Programming using Sockets, Python Internet Modules: HTTP,
FTP, SMPT, POP3 etc.
-- 12 3
Algorithms and Analysis Basic algorithm analysis –Asymptotic analysis of complexity
bounds– best, average and worst-case behaviour, standard
notations for expressing algorithmic complexity. Empirical
measurements of performance, time and space trade-offs in
algorithms, searching algorithms and analysis, sorting algorithms
and analysis
-- 12 3
Cloud Computing Cloud Computing Basics, Cloud deployment models, Cloud
service models, overview of different platforms (AWS, Azure,
GCP), creating and destroying an instance on Google cloud
platform, using git, github, slack and agile methodologies.
-- 12 3
Pedagogy:
���� Power Point Presentations, Videos
���� Programming skill based exercises
���� Group Activities
Assessment Scheme:
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 36 of 92
COURSE STRUCTURE
Course Code ECE5023A
Course Category PC
Course Title Wireless and Cellular Communications
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Digital Communication, Computer Network
Course Objectives:
1. Knowledge: To understand wireless transmission and basic cellular design concepts
2. Skill: To gain knowledge of advanced wireless communication technologies, including
important concept in network architectures and Protocols of modern wireless systems
3. Attitude: To gain understanding of Mobile Network Layer and Mobile Transport Layer
Course Outcomes: After completion of this course students will be able to
1. Verify theory of multipath fading for design of two ray model (CL V)
2. Summarize knowledge of evolution of wireless access networks including GSM cellular
systemsin terms of architecture, air interface, and mobility management, and small cell
technologies such as IEEE 802.11x Systems (CL II)
3. Demonstrate the concepts of mobility management in mobile communication systems (CL
II)
Course Contents:
• The Cellular Concepts: Wireless Transmission, Two Ray Model, Path loss, Multipath
Propagation, Doppler shift, Parameters of mobile multipath channels, Types of small scale
fading, Flat fading, Frequency selective fading, Fast fading, Slow fading, Rayleigh fading,
Diversity Techniques, Introduction to Cellular concepts, Frequency reuse, Hand off
strategies, Interference and System Capacity, Cellular capacity improvement techniques
• Advanced Modulation and RA: CDMA, Spread Spectrum Techniques, MC-CDMA,
Subcarrier Combining Techniques, Peak Power Problem in MC-CDMA, RAKE receivers,
Adaptive Modulation Techniques, Channel estimation, Equalization
• Mobile Network and Transport Layer: Mobile Network Layer, Mobile IP, IP Packet
delivery, Agent advertisement and discovery, Registration, Registration, Tunneling and
Encapsulation, Optimizations, Reverse Tunneling, IPv6, Dynamic Host Configuration
Protocol, Mobile Transport Layer, Traditional TCP, Indirect TCP, Snooping TCP, Mobile
TCP, Fast Retransmit/Fast Recovery, Selective Retransmission, Transaction oriented TCP
• GSM and Wireless LAN: GSM Architecture, Radio Interface, Protocols, Localization and
Calling, Handover, Security, New Data Services, IEEE802.11, System Architecture,
Protocol Architecture, Physical Layer, MAC Layer, MAC Management, 802.11x series,
HIPERLAN protocol architecture, Physical Layer, MAC Layer, Introduction to evolving
standards
Page 37 of 92
Laboratory Exercises/Practical:
1. Wireless path loss computation: Study of propagation path loss models indoor and outdoor.
2. To observe the BER performance of DS-CDMA in multipath channel using RAKE receiver
for single user case.
3. To study Gaussian Minimum Shift Keying (GMSK) modulation technique.
4. To study configuration and simulation of wireless LANs.
5. Introduction to NetSim and Simulation of GSM and CDMA.
6. Mobile IP and Wireless TCP performance evaluation.
7. GSM handover implementation.
Learning Resources:
Reference Books:
1. Theodore Rappaport, “Wireless Communication Principles and Practice” Second Edition,
Pearson Education 2012, ISBN-13 978-81-317-3186-4
2. JochenSchillar, Mobile Communications.2nd Edition, Pearson, 2009
Supplementary Reading:
Stuber Gordon L., Principles of Mobile Communication.3rd Edition. New York: Springer,
2011
Pedagogy:
���� Power Point Presentations, Videos
���� Co-teaching
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 38 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
The Cellular Concepts: Wireless Transmission, Two Ray
Model, Path loss, Multipath Propagation, Doppler shift,
Parameters of mobile multipath channels, Types of small scale
fading, Flat fading, Frequency selective fading, Fast fading, Slow
fading, Rayleigh fading, Diversity Techniques, Introduction to
Cellular concepts, Frequency reuse, Hand off strategies,
Interference and System Capacity, Cellular capacity
improvement techniques
8 6 2
2
Advanced Modulation and RA: CDMA, Spread Spectrum
Techniques, MC-CDMA, Subcarrier Combining Techniques,
Peak Power Problem in MC-CDMA, RAKE receivers, Adaptive
Modulation Techniques, Channel estimation, Equalization
7 6 1
3
Mobile Network and Transport Layer: Mobile Network
Layer, Mobile IP, IP Packet delivery, Agent advertisement and
discovery, Registration, Registration, Tunneling and
Encapsulation, Optimizations, Reverse Tunneling, IPv6,
Dynamic Host Configuration Protocol, Mobile Transport Layer,
Traditional TCP, Indirect TCP, Snooping TCP, Mobile TCP,
Fast Retransmit/Fast Recovery, Selective Retransmission,
Transaction oriented TCP
7 6 1
4
GSM and Wireless LAN: GSM Architecture, Radio Interface,
Protocols, Localization and Calling, Handover, Security, New
Data Services, IEEE802.11, System Architecture, Protocol
Architecture, Physical Layer, MAC Layer, MAC Management,
802.11x series, HIPERLAN protocol architecture, Physical
Layer, MAC Layer, Introduction to evolving standards
8 6 2
Page 39 of 92
COURSE STRUCTURE
Course Code ECE5024A
Course Category PC
Course Title Routing Algorithms and Protocols
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Computer Networks
Course Objectives: 1. Knowledge( i)Understand the concepts of static and dynamic routing in IP networks
(ii)Define distance vector and link state protocols
2. Skills i)Describe RIP, EIGRP, OSPF and BGP routing protocols
(ii) Estimateroutingmetricsforinteriorand exterior gateway protocols
3. Attitude (i)ConfigureRIP, EIGRP, OSPF and BGP routing protocols
ii)Simulateinterior and exterior gateway protocol case studies
Course Outcomes: After completion of this course students will be able to
1. Discuss internetwork routing technologies (CL-II)
2. Explain the routing protocols such as RIPv1/v2, EIGRP, OSPF,BGP (CL-II)
3. Analyzethe metrics of routing protocols (CL-IV)
4. Construct different interoperable routing environments (CL-V)
Course Contents:
• IP Routing: Basic Routing Concepts; Static Routing: Principle, Route Table, Configuring
Static Routes: Case Studies, Troubleshooting Static Routes: Case Studies; Dynamic Routing:
Principle, Metrics, Distance Vector Protocols: Characteristics, Timers, Split Horizon,
Counting to infinity; Link State Protocols: Operation, Neighbours, Sequencing, Database, SPF
Algorithm; Areas, Autonomous Systems, Interior and Exterior Gateway Protocols
• Interior Routing Protocols Part I: Routing Information Protocol version 1 (RIPv1):
Operation, Timers, PacketFormat, Classful routing, Configuring RIP;Routing Information
Protocol version 2 (RIPv2):Operation, Packet Format, Classless routing, Operation of RIPng,
Configuration; Interior Gateway Routing Protocol (IGRP); Enhanced Interior Gateway
Routing Protocols (EIGRP): Operation, Diffusing Update Algorithm, Packet Format,
Configuration
• Interior Routing Protocols Part II: Open Shortest Path First (OSPF) Protocol: Operation,
Neighbours and Adjacencies,Designated Routers and Backup Designated Routers,OSPF
Interfaces, OSPF Neighbours, Flooding, Router Types, Virtual Links, Link-State Database,
Route Table, OSPF Packet Formats, OSPF LSA Formats, Configuration: Case Studies;
Introduction to Integrated IS-IS protocol
• Exterior Gateway Protocol: Inter-Domain RoutingConcept;Exterior Gateway Protocol
(EGP): Operation, Shortcomings of EGP, Border Gateway Protocol (BGP): BGP Basics,
External and Internal BGP, Classless Interdomain Routing, Operation of BGP, BGP
Messages, BGP Finite State Machine, BGP Configuration: Case Studies, Configuring
Network Layer Reachability Information (NLRI) in BGP
Page 40 of 92
Laboratory Exercises / Practical: 1. Configuration of the static IPv4 routes,case study
2. Configuration of the static IPv6 routes,case study
3. Configuration of RIPv1/RIPv2 routing protocol case study
4. Configuration of RIPng routing protocol case study
5. Configuration of EIGRP routing protocol case study
6. Configuration of OSPF routing protocol case study
7. Configuration of OSPF database routertodisplay Router LSAs from the link-state database
8. Configuration of multiple routing protocols including BGP routing protocol
Learning Resources:
Reference Books: 1. J. Doyle, CCIE Professional Development: Routing TCP/IP Volume I. New Delhi:
Techmedia (Cisco Press), 1998
2. J. Doyle, CCIE Professional Development: Routing TCP/IP Volume II. New Delhi:
Techmedia (Cisco Press), 1998
3 DeepankarMedhi, Network Routing: Algorithms, Protocols, and Architectures,
TheMorgan Kaufmann, 2007
Supplementary Reading: 1 Networking Essentials. New Delhi: Techmedia (Cisco Press)
Web Resources:
Web links:
1. Free CCNA tutorial sitehttps://study-ccna.com/
MOOCs: Prof. Soumya Kanti Ghosh, Prof. Sandip Chakraborty, “Computer Networks and Internet
Protocol”, IIT Kharagpur
https://nptel.ac.in/courses/106/105/106105183/
Pedagogy: ���� Power Point Presentations
���� Video
���� Interactive
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 41 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Routing Concepts: Review of Data Communication and
Networking, Routing: Static and Dynamic. Router Architecture,
Queuing, Static Routing: Principle, Route Table, Configuring
Static Routes, Case Studies, Dynamic Routing: Basics, Metrics,
Distance Vector Protocols: Operation, Timers, Split Horizon,
Counting to infinity; Link State Protocols: Operation, Databases,
Neighbors, Sequencing; Areas, Autonomous Systems, Interior
and Exterior Gateway Protocols, Comparison of static and
dynamic routing.
8 6 2
2
Interior Routing Protocols: Routing Information Protocol
version 1 (RIPv1): Operation, Timers, Packets, Classful routing,
Interior Gateway Routing Protocol (IGRP): Operation, Timers,
Packet Format, Routing Information Protocol version 2
(RIPv2):Operation, Packet Format, Classless routing/Variable
Subnet Masking, Configuration, Comparison, Enhanced Interior
Gateway Routing Protocols (EIGRP): Basic Operation and
Components, Diffusing Update Algorithm, Packets,
Configuration.
8 6 2
3
Operation of OSPF: Hello Protocol, Network Types,
Designated Routers and Backup Designated Routers, OSPF
Interfaces, OSPF Neighbors, Flooding, Router Types,
Partitioned Areas, Virtual Links, LSA Types, Route Table
Lookups, Packet Header, Hello Packet, LSA Header, Router
LSA, Configuring OSPF, Introduction to IS-IS protocol.
8 6 2
4
Exterior Gateway Protocol: Exterior Gateway Protocol: Basic
Principle, Topology Issues/ Functions, Border Gateway Protocol:
Classless Interdomain Routing, Path Vector Routing, BGP
Messages, BGP Finite State Machine, Path Attributes,
Synchronization, Route Redistribution/Default Routes/on
Demand Routing, Route Filtering, Route Maps, and Access List
Concepts.
6 4 2
Page 42 of 92
COURSE STRUCTURE
Course Code ECE5025A
Course Category PC
Course Title Adhoc and Sensor Networks
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Fundamentals of Computer Networks
Course Objectives:
1. Knowledge: To understand architectures and protocols, and state-of-the-art research
developments in the field of Adhoc and Sensor networks.
2. Skills: To provide guide to fundamental concepts, design issues, and solutions to the issues
of Adhoc and Sensor Network.
3. Attitude: To implement various routing protocols.
Course Outcomes: After completion of this course students will be able to
1. Demonstrate the Basic knowledge of Adhoc and WSN systems (CL II)
2. Elaborate the architecture of Adhoc and WSN network (CL VI)
3. Evaluate the MAC and Network layer related aspects of Ad hoc and WSN network (CL V)
4. Simulate WSN Protocol for given application (CL VI)
Course Contents:
• Adhoc Wireless Networks: Issues in Ad Hoc Wireless Networks, MAC Protocols, Issues,
Classification of MAC Protocols, Contention based protocols, Contention based with
Reservation Mechanisms, Contention based MAC protocols with scheduling mechanisms,
other MAC protocols.
• Routing Protocols: Issues, Classification of Routing Protocols, Table Driven Routing
Protocols, On-Demand Routing Protocols, Hybrid Routing Protocols, Hierarchical Routing
Protocols, Power Aware Routing Protocols, Multicast Routing Protocols.
• Wireless Sensor Networks: Motivation for a Network of Wireless Sensor Nodes, Sensing
and Sensors Wireless Networks, Challenges and Constraints, Applications (health care,
agriculture, traffic and others), Node Architecture, Operating Systems overview, Sensor
network platform and tools.
• WSN Protocols: Types, standards and characteristics, challenges, MAC Protocols, Routing
Protocols, Transport control protocols for wireless sensor networks.
Laboratory Exercises / Practical: 1. Reading data from sensor node.
2. Study of Node-Level Simulators for WSN Implementation.
3. Implement LEACH (Low Energy Adaptive Clustering Hierarchy) MAC protocol using
NS2/or any other simulator.
4. Implement stationary as well as dynamic topology using NS2 for data transmission and
record QoS parameters for data transmission.
5. Implement AODV (Adhoc On-Demand Distance Vector) Routing protocol for WSN
scenario.
6. Implement DSR (Dynamic Source Routing) Protocol.
7. Study of sensor network OS
8. Study of Netsim scenarios of WSN.
Page 43 of 92
Learning Resources:
Reference Books:
1. C. Siva Ram Murthy and B. S. Manoj, Ad Hoc Wireless Networks: Architectures and
Protocols, Pearson Education
2. Dargie, W. and Poellabauer, C., Fundamentals of Wireless Sensor Networks: Theory
and Practice, John Wiley and Sons, 2010
Supplementary Readings:
1. Sohraby, K., Minoli, D., Znati, T., Wireless Sensor Networks: Technology, Protocols
and Applications. John Wiley and Sons, 2007
2. Holger Karl and Andreas Willig, Protocols and Architectures for Wireless Sensor
Networks, 2007
Pedagogy:
���� Power Point Presentations, Videos
���� Co-teaching
� Group Activities
AssessmentScheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 44 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Adhoc Wireless Networks: Issues in AdHoc Wireless
Networks, MAC Protocols, Issues, Classification of MAC
Protocols, Contention based protocols, Contention based with
Reservation Mechanisms, Contention based MAC protocols with
scheduling mechanisms, other MAC protocols.
8 6 2
2
Routing Protocols: Issues, Classification of Routing Protocols,
Table Driven Routing Protocols, On-Demand Routing Protocols,
Hybrid Routing Protocols, Hierarchical Routing Protocols,
Power Aware Routing Protocols, Multicast Routing Protocols.
7 6 1
3
Wireless Sensor Networks: Motivation for a Network of
Wireless Sensor Nodes , Sensing and Sensors Wireless
Networks, Challenges and Constraints, Applications (health care,
agriculture, traffic and others), Node Architecture, Operating
Systems overview, Sensor network platform and tools.
8 6 2
4
WSN Protocols: Types, standards and characteristics,
challenges, MAC Protocols, Routing Protocols, Transport control
protocols for wireless sensor networks. 7 6 1
Page 45 of 92
COURSE STRUCTURE
Course Code ECE5028A
Course Category PE
Course Title Optical and Satellite Communication
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Computer Networks
Course Objectives:
1. Knowledge:i) To understand role optical networks, communications and signal processing
ii) To study SONET/SDH, DWDM, PON Technologies
2. Skills: To gain a knowledge of satellite communication systems
3. Attitude: To know about current satellite services.
Course Outcomes: After completion of this course students will be able to
1. infer the knowledge of the role of optical fibre systems in Networking and
Telecommunications (CL II)
2. able to design SONET/SDH, DWDM, PON networks, and Gigabit Ethernet (CL VI)
3. to design the satellite link
4. use of satellite for particular application. (CL III)
Course Contents:
• SONET/SDH: Introduction, Standards, Components used in SONET/SDH Links, SONET
Frames: Formats, Overheads, SDH Frame Formats, VT/VCs, Higher Level SONET/SDH
Frames, Synchronization and Timing: NE Synchronization, Jitter/Wander, Maintenance of
SONET/SDM Links: Alarm Surveillance, Performance Monitoring, Testingn and Control
• DWDM and Wavelength Routing Routed Networks: WDM/DWDM, Optical
Amplification, WDM/DWDM Network Architectures, Components used: OADM/
Transponders/Crossconnects/Switches, Wavelength Routing Algorithms, Fibre Optics in
SAN, Gigabit Ethernet, Fibre Channel, Gigabit Ethernet, PON, FTTH/FTTC, IP-over-
SONET/DWDM, GMPLS in WDM Networks, optical routers.
• Satellite Space Link: EIRP, transmission losses , power budget equation, system Noise
carrier to Noise ration – Uplink and downlink equations ,Input and Output back Off –
TWTA, Inter modulation Noise – C/No –G/T measurement, Space segment – space
subsystems payload – Bus – power supply – attitude control – station keeping – thermal
control – TT & C Subsystem
• Satellite Services:INTELSAT, INSAT Series, VSAT, Weather forecasting, Remote
sensing, LANDSAT, Satellite Navigation, Mobile satellite Service , Direct to Home.
Page 46 of 92
Laboratory Exercises / Practical: 1. Study of Phoenix simulation software and its various modules
2. Study FDTD method and design micro ring resonator
3. Study and simulate optical router functionality
4. To establish analog /digital Communication link and transmit and receive audio/video
signal using satellite communication trainer.
5. To find the satellite link C/N Ratio.
6. To observe effect of Fading margin of received signal in satellite link.
7. To Study Analysis of Link Power Budget Equation.
Learning Resources:
Reference Books:
1. W. Goralski, Optical Networking and WDM. New Delhi: Tata McGraw Hill, 2001.
2. S. Kartalopoulos, Understanding SONET/SDH and ATM (IEEE Press). New Delhi:
Prentice Hall of India, 2001.
3. C. Siva Ram Murthy and M. Guruswamy, WDM Optical Networks. New Delhi:
Prentice Hall of India, 2002.
4. Dennis Roddy, “Satellite Communications”, McGraw Hill, 2009
5. Trimothy Pratt, Charles W. Bostian, Jeremy E. Allnutt “Satellite Communications”,
John Wiley & Sons, 2002.S. Senturia, “Microsystem Design ” , Kluwer, Springer, 2001.
Pedagogy:
���� Power Point Presentations, Videos
���� Co-teaching
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 47 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
SONET/SDH: Introduction, Standards, Components used in
SONET/SDH Links, SONET Frames: Formats, Overheads, SDH
Frame Formats, VT/VCs, Higher Level SONET/SDH Frames,
Synchronization and Timing: NE Synchronization,
Jitter/Wander, Maintenance of SONET/SDM Links: Alarm
Surveillance, Performance Monitoring, Testing and Control
8 6 2
2
DWDM and Wavelength Routing Routed Networks: WDM/DWDM, Optical Amplification, WDM/DWDM Network
Architectures, Components used: OADM/ Transponders/
Crossconnects/Switches, Wavelength Routing Algorithms, Fibre
Optics in SAN, Gigabit Ethernet, Fibre Channel, Gigabit
Ethernet, PON, FTTH/FTTC, Free Space Optics, Optical Radio
8 6 2
3
Satellite Space Link: EIRP, transmission losses , power budget
equation, system Noise carrier to Noise ration – Uplink and
downlink equations ,Input and Output back Off – TWTA, Inter
modulation Noise – C/No –G/T measurement, Space segment –
space subsystems payload – Bus – power supply – attitude
control – station keeping – thermal control – TT & C Subsystem
8 6 2
4
Satellite Services: INTELSAT, INSAT Series, VSAT, Weather
forecasting, Remote sensing, LANDSAT, Satellite Navigation,
Mobile satellite Service , Direct to Home.
6 4 2
Page 48 of 92
COURSE STRUCTURE
Course Code ECE5029A
Course Category PE
Course Title Network Programming (Elective I)
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Networking basics, C/C++/JAVA Programming Language
Course Objectives:
1. Knowledge: To study network programming concepts.
To know multithreading in network programming.
2. Skills: To write programs using sockets.
3. Attitude: To understand challenges in Client/Server designing
Course Outcomes: After completion of this course students will be able to
1. Implement programs which communicate using sockets. (CL III)
2. Implement process to process to communication. (CL III)
3. Design multithreaded servers. (CL VI)
4. Design, deploy & address the client/server architecture aspects (CL VI)
Course Contents:
• TCP & UDP
• Sockets
• IPv6
• Threads
• Client-server design
Laboratory Exercises / Practical: 1. Implementation of interface.
2. Write an echo program with client and iterative server using TCP.
3. Write an echo program with client and concurrent server using UDP.
4. Write a program to retrieve date and time using TCP.
5. Write a client and server program to implement file transfer.
6. Write a client and server program to implement the remote command execution
7. Implementation of Thread
8. Program using UDP Socket UDP chat SERVER/CLIENT
Learning Resources:
Reference Books:
1. Richard Stevens, Bill Fenner, Andrew M. Rudoff, - Unix Network Programming: The Sockets
Networking API, Volume I, Third Edition, PHI
2. Elliotte Rusty Harold- Java Network Programming, O’Reilly
Supplementary Reading:
1. Richard Stevens, “Advanced Programming in the Unix Environment”, Pearson Education
Page 49 of 92
Pedagogy:
���� Power Point Presentations, Videos
���� Co-teaching
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%) 20(40%) 10(20%)
Term End Examination : 50 Marks
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Introduction:Introduction(TCP and UDP) , Socket
Address Structures, ValueResult Arguments, Byte
Ordering Functions, Byte Manipulation Functions, socket
Function. TCP Client-Server: TCP Echo Server, TCP
Echo Client, Crashing of Server Host, Crashing and
Rebooting of Server Host, Shutdown of Server Host. UDP
Sockets: UDP Echo server, UDP Echo Client
8 6 2
2
Advanced sockets: IPv4 Client, IPv4 Server, IPv6 Server,
IPv6 Client, IPv6 Address Testing Macros,
IPv6_ADDRFORM Socket for interoperability between
IPv4 & IPv6, Broadcast Addresses, Unicast versus
Broadcast, Multicasting: Multicast Addresses,
Multicasting versus Broadcasting on A LAN, Multicasting
on a WAN, Multicast Socket Options
8 6 2
3
Threads: Thread Functions: Creation and Termination,
TCP Echo Server, Thread-Specific Data, Web Client and
Simultaneous Connections 7 6 1
4
Client/server design: TCP Client Alternatives, TCP Test
Client, Iterative Server, Concurrent Server, Thread
Locking around accept, TCP Pre forked Server, Descriptor
Passing, TCP Concurrent Server, One Thread per Client,
TCP Pre threaded Server
7 6 1
Page 50 of 92
COURSE STRUCTURE
Course Code WPC501A
Course Category WP
Course Title Philosophy of Science and Religion/Spirituality
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites: 10 + 2 Level
Course Objectives:
1) To introduce students with science and spirituality.
2) To introduce students with Bhagwat Gita and epics of India
3) To introduce students with teachings of Vedas, Upanishads and Puranas.
4) To introduce students with connectivity between Quantum physics and Spirituality.
5) To introduce students with various prominent Religions in the world.
Course Outcomes:
After completion of this course students will be able to:
1) Understandthe relation between science and spirituality.
2) Understand Bhagvat Gita in reference with Bhakti, Dnyana and Karma Yoga.
3) Understand the teachings of Vedas, Upanishads and Puranas.
4) Understand the connectivity between Quantum physics and Spirituality.
Understand the various Religions in the world.
Course Contents:
1.Introduction and Brief History:
History: Relevance of ancient scriptures written and practiced by people in contemporary times,
Science and Spirituality: East and West. Quantum Physics and Spirituality: Proton, Neutron,
Electron, Brahma, Vishnu, Mahesh, Universal Consciousness, Origin of Existence and purpose
of creation.
2. Evolution of Consciousness
Bhagwat Gita in reference of Karma Yoga, Dnyan Yoga and Bhakti Yoga.
Page 51 of 92
3. Ancient Scriptures and Literature: Vedas: Introduction, Basic Learning, Moral values, Major Learning and Inventions, The
Blending of Science and Spirituality in the Ayurvedic Tradition of Healing, Yoga, Indian
Mystics, Practical Spirituality: Activities of enchanting ‘Aum’, Performing meditation, Vedas:
Basic Principles, Values and Learnings from the Vedas, Classification and Importance,
Scientific Inventions during the Vedic period.
Upanishads: History, Meaning, Science of Self, Mind training based on Upanishad learnings,
Brahman, Atman, Maya, Karma, Samsara, Moksha – Scientific Interpretation.
Puranas: Introduction to Puranas and Messages from Puranas, Classification, Essence from the
different Puranas and their contemporary applications, Yogasutras of Patanjali: Natural Laws,
Patanjali Yoga Sutra and the karma hypothesis, Learnings from Ramayana, Inventions by
Ancient Hindu Sages and Rishis.
4. Religion: Comparative study of World's major Religions: Hinduism, Jainism, Buddhism, Islam,
Sikhism,Judaism, Taoism, Christianity
Learning Resources:
Reference Books a. History of Indian Literature;ByWinternitz Maurice.
b. Ancient India Social History; By RomilaThapar
c. Religious History of Ancient India; By Goyal R. S.
d. Ways of Understanding the human past: Mythic, Epic, Scientific and History; By
Chattopadhyay D. P.
Supplementary Reading: i. Mahabharata; by Bhandarkar Oriental Institute
ii. Ramayana by Baroda oriental institute, and other ancient texts
Web Resources: 1. www.wikipedia.com
2. www.youtube.com
3. http : / / i s h a . s a d h g u r u . o r g / b l o g / y o g a - medita_on/history-of-yoga/karna/
4. http://mythicalindia.com/features-page/ashwinsanghi-interview-mythical-india/
5. http : / / i s h a . s a d h g u r u . o r g / b l o g / y o g a - medita_on/history-of-yoga/veda-
vyasa-compiler-ofvedas/
6. http://www.shalusharma.com/aryabhatta-theindian-mathema_cian/
7. http://topyaps.com/facts-about-aryabhatta-theastronomer
8. https://www.youtube.com/watch?v=rC-XseI-HWI
MOOCs: Not applicable
Page 52 of 92
Pedagogy:
1. Co-teaching
2. Group activity
3. Audio- video techniques
4. Classroom Assignments
Assessment Scheme:
Class Continuous Assessment (CCA): 70 Marks
Biography Film
Appreciation
Group Activity
& Initiative
Learning from
Subject
(Journal
Writing)
Attendance
25 Marks 10 Marks 10 Marks
20 Marks
05 Marks
Laboratory Continuous Assessment (LCA): NA
Regularity and
punctuality
Understanding
of objective
Understanding
of procedure
Experimental
skills
Ethics
- - - - -
Term End Examination : 30 marks (MCQ Online)
Page 53 of 92
SYLLABUS
Lecture
No. Topics to be covered in the course Learning Outcome/Questions to elicit
1 Introduction to Science and
Spirituality. Students will be made aware of the concept of
Science and Spirituality.
2 Concept and understanding
Universal Consciousness
Students are made aware about thesimilarities
between Science & Spirituality.
3 Universal Consciousness, Origin of
Existence and purpose of creation
Students are imparted knowledge about origin of
Universe.
4 Introduction of Metaphysics and its
applications
Students are made aware about the similarity
between Metaphysics.
5 Vedas,classification and importance Students are given knowledge about the richness and
prosperity of the ancient Indian literature i.e. Vedas
6 Scientific inventions during the
Vedic period
Students are given insight on Science in Vedic
literature.
7 Basic principles, values and
learning’s from the Upanishads
Students are educated about the principles of living
in harmony and mutual respect, in spite of individual
differences
8 Upanishads, history, meaning,
science of self
Students are given knowledge about the richness and
prosperity of the ancient Indian philosophy.
9 Introduction to Puranas and
messages from Puranas.,
Classification of puranas
Students are enlightenedabout the journey from
Vedas to Puranas.
10 Bhagwat Gita in reference of Karma
Yoga
Students are given insight on path to self-realization
through union with self in the form of karma yoga.
11 Bhagwat Gita in reference ofBhakti
Yoga
Students are given insight on path to self-realization
through union with self in the form of Bhakti yoga.
12 Bhagwat Gita in reference
ofDnyana Yoga
Students are given insight on path to self-realization
through union with self in the form of Dnyana yoga.
13 Introduction of Ramayana Students are made aware about the importance of
Epic literature i.e. Ramayana
14 Introduction of Mahabharata. Students are made aware about the importance of
Epic literature i.e. Mahabharata
15 A brief survey of Scientists of
ancient India
Students will be able to understand the various scientific
contribution of Scientists of ancient India
16 Scientists of ancient India : Part 2 Students will be able to understand the various scientific
contribution of Scientists of ancient India
17 Scientists of ancient India : Part 3 Students will be able to understand the various scientific
contribution of Scientists of ancient India
18 Comparative study of World's major
Religions: Buddhism.
Students will be able to understand the various
principles and teachings of Buddhism
Page 54 of 92
19 Comparative study of World's major
Religions:Jainism.
Students will be able to understand the various
principles and teachings ofJainism
20 Comparative study of World's major
Religions: Islam.
Students will be able to understand the various
principles and teachings of Islam.
21 Comparative study of World's major
Religions: Sikhism.
Students will be able to understand the various
principles and teachings of Sikhism.
22 Comparative study of World's major
Religions: Judaism.
Students will be able to understand the various
principles and teachings of Judaism.
23 Comparative study of World's major
Religions: Taoism.
Students will be able to understand the various
principles and teachings of Taoism.
24 Comparative study of World's major
Religions: Christianity.
Students will be able to understand the various
principles and teachings of Christianity.
25
Comparative study of World's major
Religions:Zoroastrians, Baha’ism
and Judaism
Students will be able to understand the various
principles and teachings ofZoroastrians, Baha’ism
and Judaism
26
Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate
our thoughts and feelings.Explain how cinema as a
visual medium, engages with us in constructing
meaning.
27
Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate
our thoughts and feelings. Explain how cinema as a
visual medium, engages with us in constructing
meaning.
28 Presentations – Group
Activity
Students are encouraged to perform group activities,
such as poster making, in-line with a given theme
29 Presentations – Biography
Individual Student Presentation on a Biography of
his/her own choice, enhancing communication skills,
soft skills and public speaking
30 Presentations – Biography
Individual Student Presentation on a Biography of
his/her own choice, enhancing communication skills,
soft skills and public speaking
Page 55 of 92
COURSE STRUCTURE
Course Code ECE5031A
Course Category PC
Course Title Advanced 4G & 5G Wireless Technologies
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Computer Networks
Course Objectives: 1. Knowledge: To provide introduction to promising advanced concepts in the field of wireless
communications
2. Skills: To know about implementation of advanced multiple access and MIMO.
3. Attitude: To provide an introduction of the potential gains and challenges when applying
them to the 4G & 5G systems.
Course Outcomes: After completion of this course students will be able to
1. Define and understand what the key 5G technologies are, why they are needed, and how they
can shape future communication systems (CL I)
2. Explain the principles of advanced waveforms and air interfaces (CL II)
3. Apply the principles of advanced multi-input multi-output (MIMO) concepts for future
wireless communication systems (CL III)
4. Compare/contrast different design choices for future wireless communication systems (CL IV)
5. Develop advanced concepts via simulations (CL VI)
Course Contents:
• Introduction to future technologies
Introduction to 4G & 5G. The drivers of 4G & 5G, Overview of the candidate technologies and
techniques that will shape the future of communication systems.
• 4G & 5G Key Concepts and Technologies
Advanced Waveforms and Air-Interfaces: FBMC, UFMC and GFDM Multicarrier
communication, transmitter and Receiver
• Advanced MIMO concepts
Massive MIMO, multi-user MIMO, Advanced Detection Methods : Non-linear, soft-input soft-
output
• Advanced Multiple Access Methods
Non-orthogonal multiple access
Laboratory Exercises / Practical: 1. Introduction to 4G/5G MALTAB Simulation
2. To implement OFDM Transmission and Reception using MATLAB
3. To implement Filter Bank Multi Carrier (FBMC) using MATLAB
4. To implement basic MIMO using MATLAB
5. To implement Universal Filtered Multi Carrier (UBMC) using MATLAB
6. To implement GFDM using MATLAB
7. Study of LTE Handover.
Page 56 of 92
Learning Resources:
Reference Books: 1. SofoklisKyriazakos, IoannisSoldatos, and George Karetsos, 4G Mobile and Wireless
CommunicationsTechnologies.River Publishers Series in Communications
2. Savo G. Glisic, Advanced Wireless Networks: 4G Technologies. 2006
3. M. Bala Krishna and Jaime LloretMauri, Advances in Mobile Computing and
Communications: Perspectives and Emerging Trends in 5G Networks. CRC Press, 2012
4. Christopher Cox, An Introduction to LTE: LTE, LTE-Advanced, SAE, VoLTE and 4G Mobile
Communications. 2nd Edition, 2014
5. Wei, Zheng, Kan, Shen, and Xuemin Sherman (Eds.), 5G Mobile communications. Springer
2017
Pedagogy: ���� Power Point Presentations, Videos
���� Co-teaching
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 57 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Introduction to future technologies: Introduction to 4G & 5G.
The drivers of 4G & 5G, Overview of the candidate technologies
and techniques that will shape the future of communication
systems.
8 6 2
2
4G & 5G Key Concepts and Technologies: Advanced
Waveforms and Air-Interfaces: FBMC, UFMC and GFDM
Multicarrier communication, transmitter and Receiver 8 6 2
3
Advanced MIMO concepts: Massive MIMO, multi-user
MIMO, Advanced Detection Methods : Non-linear, soft-input
soft-output 7 6 1
4 Advanced Multiple Access Methods: Non-orthogonal multiple
access 7 6 1
Page 58 of 92
COURSE STRUCTURE
Course Code ECE5032A
Course Category PE
Course Title Artificial Intelligence Techniques and Applications
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Fundamentals of Linear Algebra and Probability theory.
Course Objectives: This course will enable students to:
1. Describe the different models used in AI & Machine Learning. (Knowledge)
2. Develop Machine learning model using supervised, unsupervised and Reinforcement learning
methods.(Knowledge)
3. Select memory for specific SOC operating system. (Skill)
4. Build the model of ANN using programming language like python and Prolog. (Skill)
5. Explain the Concept of AI in data mining. (Attitude)
6. Compare different search techniques used for different problem-solving examples. (Attitude)
Course Outcomes: After completion of this course students will be able to:
1. Identify problems where artificial intelligence techniques are applicable (CL- I)
2. Understand various soft computing techniques. (CL-II)
3. Apply selected basic AI techniques. (CL-III)
4. Analyse and Solve any real-world problem of classification, clustering and prediction.(CLIV)
5. Judge applicability of more advanced techniques. (CL-V)
Course Contents:
• Artificial Intelligence and Search Techniques: History of AI, Problem spaces and search,
Knowledge and rationality, Heuristic search strategies, Search and optimization (gradient
descent), Planning and scheduling;
Search Techniques: Solving problems by searching :problem solving agents, searching for
solutions; uniform search strategies: breadth first search, depth first search, comparing uniform
search strategies. Heuristic search strategies: Greedy best-first search, A* search, Hill
climbing search, simulated annealing search, genetic algorithms;
• Knowledge & Reasoning: Ontologies, Knowledge representation issues, representation &
mapping, approaches to knowledge representation, Bayesian reasoning, Temporal reasoning
Representing knowledge using rules, Procedural verses declarative knowledge, logic
programming, forward verses backward reasoning, matching, control knowledge.
• Introduction To Machine Learning : concept of Supervised vs. unsupervised learning,
Regression -- linear, logistic, ridge, Classification – decision trees, SVM, random forests,
Dimensionality reduction: PCA, Clustering – k-means, hierarchical clustering
• Introduction to Semi-supervised methods, Reinforcement learning, Choosing among machine
learning techniques
• Data mining :Introduction to data mining, getting to know your data, Data Pre-processing,
Data warehousing, mining frequent patterns, use of AI in data mining , Applications of Data
mining.
Page 59 of 92
Laboratory Exercises / Practical:
1. Write a program to develop Single Layer perceptron using different learning rules like Hebb,
Delta, and Perceptron.
2. Introduction to programming with PROLOG
3. Implement and test MLP for XOR gate trained with back-propagation algorithm
4. Classification using Bayes’ decision theory
5. Study of different Regression model and to find the best fit
6. Implementation of Support Vector Machine to classify the given data set
7. Implementation of K Means Clustering to classify the given data set
8. Apply Principal Component Analysis to compress the given image
9. Implementation of a data mining Frequent Pattern Growth algorithm (FP)
Page 60 of 92
Learning Resources:
Reference Books: 1. Russell &Norvig, Artificial Intelligence: A Modern Approach,2010
2. Introduction to Artificial Intelligence & Expert Systems, Patterson, PHI
3. Stuart J.Russelland, PeterNorvig, “Artificial Intelligence A Modern Approach” ,3rd edition,
Pearson Education.
4. JiaweiHan,MichelineKamber and Jian Pei, “Data Mining Concepts and Techniques”, Elsevier.
Introduction to Artificial Intelligence & Expert Systems
Supplementary Reading: 1. Bing Liu, “Web Data Mining Exploring Hyperlinks Contents , and Usage Data” Springer
International Edition.
2. KishanMehrotra,Chilukuri Mohan and Sanjay Ranka, “Elements of Artificial Neural
Networks”, MIT Press
Pedagogy:
• Power Point Presentations, Videos, Co-teaching
• Group Activities, Case studies, White Papers
AssessmentScheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 61 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Artificial Intelligence:History of AI, Problem spaces and
search, Knowledge and rationality, Heuristic search
strategies, Search and optimization (gradient descent),
Planning and scheduling
Search Techniques: Solving problems by
searching:problem solving agents, searching for solutions;
uniform search strategies: breadth first search, depth first
search, comparing uniform search strategies.
Heuristic search strategies: Greedy best-first search, A*
search, Hill climbing search, simulated annealing search,
genetic algorithms
8 6 2
2
Knowledge & Reasoning:Ontologies, Knowledge
representation issues, representation & mapping,
approaches to knowledge representation, Bayesian
reasoning, Temporal reasoning
Representing knowledge using rules, Procedural verses
declarative knowledge, logic programming, forward verses
backward reasoning, matching, control knowledge.
7 6 1
3
Introduction To Machine Learning : concept of
Supervised vs. unsupervised learning, Regression -- linear,
logistic, ridge, Classification – decision trees, SVM, random
forests, Dimensionality reduction: PCA, Clustering – k-
means, hierarchical clustering
Introduction to Semi-supervised methods, Reinforcement
learning, Choosing among machine learning
techniques
8 6 2
4
Data mining :Introduction to data mining, getting to know
your data, Data Pre-processing, Data warehousing, mining
frequent patterns, use of AI in data mining , Applications of
Data mining.
7 6 1
Page 62 of 92
COURSE STRUCTURE
Course Code ECE5034A
Course Category PE
Course Title RF Systems for Wireless ( Elective II)
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites:
Signal analysis for communication system
Wireless and Adhoc networks
Analog and Digital system Design
Course Objectives: 1. Knowledge: Understand RF technology and basic concepts in RF System design.
Apprehend communication concepts and various transceiver architectures.
2. Skills: Perceive basic blocks in RF system such as LNA, Mixer and VCO.
3. Attitude: Comprehend Radio Frequency Synthesizers and Power Amplifiers
Course Outcomes: After completion of this course students will be able to
1. Explain the RF technology and basic concepts in RF design. (CL II)
2. Exemplify different receiver and transmitter architectures. (CL II)
3. Appraise basic blocks in RF systems such as LNA, Mixer and VCO (CL V)
4. Design basic blocks in RF circuits and systems using an advanced design tool. (CL VI)
Course Contents:
• RF technology and basic concepts in RF design
• Communication concepts and transceiver architectures
• Basic blocks in RF systems and their VLSI implementation
• Radio Frequency Synthesizer and Power Amplifiers
Laboratory Exercises / Practical:
1. Study and analysis of various EDA tools for RF System design
2. For the series RLC elements, measure the reflection coefficients and VSWR from 100 to 1000
MHz
3. Design, simulate and analyze RF amplifier for various simulation modes
4. Design ,simulate and analyze Mixer for various simulation modes
5. Design, simulation and analysis of oscillators/mixers for RF Applications
Page 63 of 92
Reference Books:.
1. John W. M. Rogers, Calvin Plett, Radio Frequency Integrated Circuit Design, Artech House
2. Behzad Razavi, RF Microelectronics, 2e, Prentice Hall
3. Qizheng Gu, RF system design of transceivers for wireless communications, Springer Pub.
4. Thomas H. Lee,The Design of CMOS Radio-Frequency Integrated Circuits,Cambridge
University Press.
5. Yannis Tsividis, Colin McAndrew, Operation and Modeling of MOS Transistor,
OxfordUniversity Press, 3rd edition.
6. Samuel Y. Liao, Microwave Devices and Circuits, 3e, Prentice-Hall of India.
7. Paul R. Gray, Paul J. Hurst, Stephen H. Lewis and Roberst G. Meyer, Analysis and Design
ofAnalog Integrated Circuits, 5/e, Wiley.
Supplementary Reading:
Web Resources:
Web links:
1. Dr.Shouribrata Chatterjee, “RF Integrated Circuits”, Video Course offered by NPTEL
retrieved from http://nptel.ac.in/courses/
MOOCs:
1. Kwang- Soon Kim,“Wireless communication for everybody”, [11 Week Course on
Coursera]MOOC offered by YONSEI University Retrieved on May29, 2020 from
https://www.coursera.org/learn/wireless-communication.
Pedagogy:
• Power Point Presentation
• Demonstration
• Video
• Interactive
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 64 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
RF technology and basic concepts in RF design: Introduction to RF and Wireless Technology: Challenges in
RF Design, Complexity Comparison, Design Bottleneck,
Applications, Choice of Technology; Basic concepts in RF
Design: Units in RF Design, Time Variance, Nonlinearity,
Effects of nonlinearity; Noise as Random Process, effect of
transfer function on noise, device Noise, Representation of
Noise in Circuits. Sensitivity and Dynamic Range.CMOS
Processing and Timing Analysis
8 6 2
2
Communication concepts and transceiver architectures:
Analog modulation, Digital modulation, Spectral Regrowth,
Mobile RF Communications, Multiple Access techniques
Wireless standards; Receiver Architectures: Basic
Heterodyne Receivers, Modern Heterodyne Receivers,
Direct-Conversion Receivers, Image Reject Receivers,
Low-IF Receivers; Transmitter Architectures: Direct-
Conversion Transmitters, Modern Direct-Conversion
Transmitters, Heterodyne Transmitters
8 6 2
3
Basic blocks in RF systems and their VLSI implementation: Low Noise Amplifier Design in various
technologies, Design of Mixers at GHz frequency range;
Various Mixers, their working and implementations;
Oscillators: Basic topologies of VCO and definition of
phase noise. Noise Power trade-off. Resonatorless VCO
design; Quadrature and singlesideband generators
8 6 2
4
Radio Frequency Synthesizer and Power Amplifiers: Radio Frequency Synthesizes: Phase Detector, Various
types of PLLs, Various RF synthesizearchitectures and
frequency dividers; Power Amplifiers: Classification of
Power Amplifiers, HighEfficiency Power Amplifiers,
Linearization techniques, Design issues in integrated RF
filters.
6 4 2
Page 65 of 92
COURSE STRUCTURE
Course Code ECE5037A
Course Category PE
Course Title Network and Service Management ( Elective III)
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Knowledge of advanced Computer Networks
Course Objectives: 1. Knowledge: To study network-centric World and Role of Network management
To understand Optimization of broad areas of network management.
2. Skills: To study the open source network performance management tool.
3. Attitude: To study Communication and functional models of the networks.
Course Outcomes: After completion of this course students will be able to
1. Explain network-centric World and Role of Network management. (CL II)
2. Describe Optimization of broad areas of network management. (CL II)
3. Carry out use open source network performance management tools. (CL III)
4. Examine Communication and functional models of the networks. (CL IV)
Course Contents:
• Basic Foundations
• Managed Network
• SNMP Architecture and Management
• Network Statistics Measurement
Laboratory Exercises / Practical:
1. Using a Network Simulator (e.g. packet tracer) Configure
a) VLAN, Dynamic trunk protocol and spanning tree protocol
b) OSPF – Explore Neighbor-ship Condition and Requirement, Neighbor-ship states, OSPF
Metric
i. Cost Calculation.
c) Network Address Translation : Static, Dynamic & PAT (Port Address Translation) 2. Using a Network Simulator (e.g. packet tracer) Configure
a) EIGRP – Explore Neighbor-ship Requirements and Conditions, its K Values
Metrics Assignment and Calculation,
b) RIPv2 and EIGRP on same network.
c) WLAN with static IP addressing and DHCP with MAC security and filters 3. Setup and enterprise NMS by downloading several of the open source, NMS available on the
Internet. Perform fault and performance management.
4. Mini Project- Development of NMS using any technology
Page 66 of 92
Learning Resources:
Reference Books: 1. Network Management: Principles and Practice, Mani Subramanian, Addison-Wesley Pub Co,
First Edition, 2000.
2. SNMP, SNMPV2, SNMPV3, AND RMON 1 and 2, William Stallings, Addison-Wesley,
Third Edition, 1999.
Supplementary Reading: Practical Guide to SNMPv3 and Network Management, David Zeltserman, PHI
Pedagogy:
• Power Point Presentations, Videos
• Co-teaching
• Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 67 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Basic Foundations: Standards, Models, and Language:
Network Management Standards, Network Management
Models, Organization Model, Information Model,
Communication Model, Functional Model, Network
Management Applications, Abstract Syntax Notation One:
ASN.1, Encoding Structure, Network Management Tools,
Systems and Engineering
8 6 2
2
Managed Network: Case histories and Examples, The
History of SNMP Management Internet organizations and
standards, SNMP Model, Organization Model, System
Overview, Information Model. The SNMP Communication
Model. Functional model
8 6 2
3
SNMP Architecture and Management: Major Changes in
SNMPv2, SNMPv2 System Architecture, SNMPv2
Structure of Management Information, The SNMPv2
Management Information Base. SNMPv2 Protocol,
Compatibility with SNMP v1, SNMPv3, Security Model,
Remote monitoring of SNMP, A case study on Internet
Traffic using RMON.
7 6 1
4
Network Statistics Measurement: Network Statistics
Measurement Systems, MIB Engineering, NMS Design,
Network management Systems, System Management,
Telecommunications Management Network, TMN
conceptual Model, TMN architecture, TMN Management
service Architecture, Integrated and Differentiated
Services, MPLS Network Technology.
7 6 1
Page 68 of 92
COURSE STRUCTURE
Course Code ECE5038A
Course Category PE
Course Title Cognitive Radio ( Elective III)
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
3 0 2 2+0+1
Pre-requisites: Digital communication, Computer network.
Course Objectives: 1.Knowledge (i) To understand the evolving software defined radio.
(ii)To know the growing cognitive radio techniques.
2.Skills (i) Toensureanexpertise on spectrum sensing techniques.
(ii) To gainaproficiency on TV white spaces.
3.Attitude (i) To identify the approach of dynamic spectrum access.
(ii)To distinguish an outlook on radio resource management & trading issues.
Course Outcomes: After completion of this course students will be able to
1. Demonstrate an understanding on software defined radio architecture and design
principles.(CL-II)
2. Analyze cognitive radio based on various performance metrics. (CL-IV)
3. Impalement various spectrum sensing techniques based on real-time applications. (CL-III)
4. Investigate fundamental issues regarding dynamic spectrum access, the radio-resource
management. (CL-VI)
Course Contents:
• Framework for cognitive radio
• Cognitive Radio
• Spectrum Sensing
• Spectrum Management
Laboratory Exercises / Practical:
1. Implementation of CW modulation techniques using GNU radio.
2. Implementation of angle modulation system using USRP.
3. Implementation of digital modulation techniques using GNU radio.
4. Implementation of transmission of files on wireless media using USRP.
5. Implementation of OFDM.
6. Implementation of spectrum sensing techniques.
7. Implementation of TV white spaces.
Implementation of Cognitive radio
Page 69 of 92
Learning Resources:
Reference Books:
1. Software Radio: A Modern Approach to Radio Engineering, Jeffrey H. Reed, Prentice Hall,
2002.
2. Cognitive Radio Technology, Bruce Fette, Elsevier, 2006.
3. Cognitive Radio Communications and Networks, Alexander M. Wyglinski, Elsevier, 2010.
4. Cognitive Radio Networks, Kwang-Cheng Chen andRamjee Prasad, Wiley, 2009.
Supplementary Reading:
1. Software Defined Radio for 3G, Paul Burns, Artech House, 2003
2. Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems, HuseyinArslan,
Springer, 2007.
3. Cognitive Radio andDynamicSpectrumAccess, Lars Berlemann and Stefan Mangold, Wiley
Publication, 2009.
4. Cognitive Radio Architecture, Joseph Mitola III, Wiley Publications, 2006.
Web Resources:
Weblinks:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339174/
https://www.mdpi.com/1424-8220/19/1/126
https://bwn.ece.gatech.edu/surveys/cr_spect08.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002/wcm.732
MOOCs:
https://www.classcentral.com/course/swayam-basics-of-software-defined-radios-and-
practical-applications-10088
https://www.mooc-list.com/course/software-defined-radio-101-rtl-sdr-miriada-x
Pedagogy:
• Power Point Presentations, Videos
• Co-teaching
• Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA)-50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20(40%) 20(40%) 10(20%)
Laboratory Continuous Assessment (LCA)– 50 Marks
Practical Oral based
on practical
Site Visit Mini Project Problem based
Learning
Any other
20(40%) 20(40%) 10(20%)
Term End Examination :50 Marks (100%)
Page 70 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Introduction to software defined radio: Essential functions of SDR, Hardware architecture,
Software architecture, Data converters, Multi-rate signal
processing, Baseband processing engines, Smart/MIMO
antenna.
8 6 2
2
Cognitive Radio: Enablers, Spectrum access, Policy
challenges, Technology impact on regulations, Radio
flexibility and capability, Aware, Adaptive, and CRs,
Architecture, Cognitive radio cycle, Performance measures.
8 6 2
3
Spectrum Sensing:Spectrum Sensing to Detect Specific
Primary System,Spectrum Sensing for Cognitive OFDMA
Systems, Spectrum Sensing for Cognitive Multi-Radio
Networks.
7 6 1
4
Spectrum Management: Spectrum Sharing, DSA,
Spectrum Pricing, Mobility Management, Regulatory
Issues. Applications of Cognitive radio: IEEE 802.22 and
Public safety.
7 6 1
Page 71 of 92
COURSE STRUCTURE
Course Code WPC302A
Course Category WP
Course Title Study of Languages, Peace in Communications and
Human Dynamics
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites: 10 + 2 Level
Course Objectives: 1. To introduce students to the origin and significance of study of languages (classical) and
ancient writers.
2. To learn interesting facts about Sanskrit, a popular language in ancient India.
3. To enhance positive communication leading to improved Interpersonal Communication Skills,
team spirit and harmony in individual’s personal and professional life.
4. To improve listening skills, comprehend the significance of verbal and non-verbal
communication, consequentially leading to peaceful communication.
5. To understand the significance of human dynamics in a virtual society.
6. To enable and enhance Physical Intelligence (PQ), Intellectual Intelligence (IQ), Emotional
Intelligence (EQ) and Spiritual Intelligence (SQ).
Course Outcomes:
After completion of this course students will be able to:
1 Understand the origin and significance of study of languages (classical) and ancient writers.
2 Enhanced positive communication leading to improved Interpersonal Communication Skills,
team spirit and harmony in individual’s personal and professional life.
3 Improved listening skills, comprehend the significance of verbal and non-verbal
communication, consequentially leading to peaceful communication.
4. Role of human dynamics in a virtual society and deeper understanding of different Intelligence
Quotients (PQ,IQ, EQ,SQ).
Course Contents:
1. Study of languages: 1. Classical languages in the world and significance: Sanskrit, Tamil, Latin, Greek, Arabic,
Chinese, Hebrew.
2. Interesting facts about Sanskrit.
3. Famous writers of Classical Indian languages: Ved Vyas, Valmiki, Kalidas, Chanakya,
Panini, Maharishi Patanjali, Parashar, Acharya Charak, Aryabhatta.
Page 72 of 92
2. Peace in Communications: i. Introduction: Speaking Skills,Listening Skills, Non-verbal Communication
ii. What is Communication?: Exchanging Information, Important C’s of Communication
iii. Why Peaceful Communication?: Is stress or pressure making you a poor communicator,
Influence vs Manipulate
iv. Non-verbal Communication: Nonverbal Communication=Communication without words
v. Body Language: Impact of Body Language, To the more basic parts of Body Language,
Way to improve body language
vi. Listening Skills: Listening gives perspective, Few objectives of listening, Lie Detection,
What kind of a listener are you, Distracted Listener, The engrossed one, The interrupters,
The dead pan face kind of a listener, The conflict seekers, The self-proclaimed mentors,
Human Library, Self-Analysis
vii. Verbal Communication: The 101 of Verbal Communication, Positive Productive
Communication, The Process of Communicating, The Ten Commandments of Verbal
Communication Skills, Sharing and building meaning, Voice Modulation
viii. Modern Day Communication: Your communication with the environment, Communication
with senior citizens, Communication with body, Internet communication, Power of visuals
3. Human Dynamics: i. Human Dynamics and Youth: Human Dynamics in a Virtual Society
ii. Physical Intelligence (PQ)
iii. Intellectual Intelligence (IQ): Mental Agility and Comprehension Ease
iv. Emotional Intelligence (EQ)
v. Spiritual Intelligence (SQ)
vi. Group Dynamics: Mother, Father, Siblings, Group Analysis, Grandparents, Friendship
Dynamics, Acquaintances, Wisdom Dynamics, Gurus, Teachers, Mentors, Subordinate
Dynamics
vii. Human Dynamics in the City: Infrastructure, Rural and Semi Urban Development,
Education, Sports, Ministry, Environmental.
Reference Books: 1. Nonviolent Communication: A Language of Life by Marshall B. Rosenberg, Arun Gandhi
2. “Comprehension – Interpersonal and Communication Skills for Gs Paper II” byArun Sharma
and Meenakshi Upadhyay
3. Human Engineering: A Reference Book On the Dynamic Mind Fundamentals Paperback –
by Richard H. Mulliner (Author)
Supplementary Reading: Workbook provided by Poddar Foundation.
Web Resources:https://en.wikipedia.org/wiki/Global_Peace_Index
https://www.ted.com/talks/julian_treasure_5_ways_to_listen_better
https://www.youtube.com/watch?v=rpazb_SwglU
Weblinks: MOOCs: https://onlinecourses.nptel.ac.in/noc18_hs18/preview
Page 73 of 92
Pedagogy:
We teach this subject with a collaborative training approach as well as via mechanisms of
presentations, learning videos, interactions and various activities.
Assessment Scheme:
Class Continuous Assessment (CCA)
Biography Film
Appreciation
Group
Activity and
Initiative
Learning
from Subject
(Assignment)
Attendance Oral Any other
25 10 10 20 05 -- --
Laboratory Continuous Assessment (LCA)
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
-- -- -- -- -- --
Term End Examination :30 Marks (MCQ Online)
SYLLABUS
Lecture
No. Topics to be covered in the course Learning Outcome/Questions to elicit
1
Study of (classical) languages. Classical Languages in the World and Significance:
Sanskrit, Tamil, Latin, Greek, Arabic, Chinese,
Hebrew
2
Facts about Sanskrit and famous
writers of classical Indian
languages.
Interesting Facts about Sanskrit
Famous Writers of Classical Indian Languages: Ved
Vyasa, Valmiki, Kalidasa, Chanakya, Panini
3
Facts about Sanskrit and famous
writers of classical Indian
languages
Interesting Facts about Sanskrit
Famous Writers of Classical Indian Languages
MaharishiPatanjali, Parashara, Acharya Charaka,
Aryabhatta
4
What is communication and need
for peaceful communication? Introduction: Speaking Skills, Listening Skills, Non-
verbal Communication
What is Communication?: Exchanging Information,
Important C’s of Communication,
5 Why Peaceful Communication? Is Stress or Pressure making you a poor
communicator, Influence vs Manipulate/ Activity
Page 74 of 92
6.
Non-verbal communication, body
language.
Non Verbal Communication: Nonverbal
Communication=Communication without words
7.
Non-verbal communication, body
language
Non Verbal Communication: Nonverbal
Communication=Communication without
words/Activity
8.
Non-verbal communication, body
language.
Body Language: Impact of Body Language, To the
more basic parts of Body Language, way to
improve body language
9. Body Language and Dressing Soft Skills Training for dressing and body language
10.
Listening skills—Types,
objectives, Cost of
communications.
Enhancing listening skills
11.
Verbal communication, the ten
commandments.
The 101 of Verbal Communication, Positive
Productive Communication, The Process of
Communicating, The Ten Commandments of
Verbal Communication Skills, Sharing and
building meaning, Voice Modulation
12.
Modern day communication,
innovative verbal, non-verbal
tools.
Modern Day Communication: Your
communication with the environment,
Communication with senior citizens,
Communication with body, Internet
communication, Power of visuals
13. Conflict management Increasing positive aspect of conflict and reducing
the negative.
14. Conflict management Various techniques of managing conflicts
15.
Introduction to human dynamics,
necessity, role, Human dynamics
and youth connect.
Challenges faced by today’s youth.
16. Group Dynamics Family, friends, teachers, subordinates
17. Organizational dynamics including
leadership styles. Enhancing employee productivity and performance.
18.
Concepts of physical, intellectual,
emotional, spiritual intelligences.
Understanding the importance and creating
awareness about PQ, IQ, EQ and SQ in day to day
life, thus unleashing one’s potential
19. Importance and understanding of
PQ Physical Quotient
20. Importance and understanding of
IQ Intellectual Quotient
Page 75 of 92
21. Importance and understanding of
EQ Emotional Quotient
22. Importance and understanding of
SQ Spiritual Quotient
23. Concepts of physical, intellectual,
emotional, spiritual intelligences. PQ, IQ, EQ and SQ video/activity
24. Stimulus—response theory and
group dynamics.
Tapping the collective energy and interaction that
group dynamics can offer.
25. Assignment 1./ Assignment 2.
26.
Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate
our thoughts and feelings. Explain how cinema as a
visual medium, engages with us in constructing
meaning.
27. Film Appreciation
Helping the students to appreciate cinema by
understanding its distinct language, its narrative
complexity and the way films control and stimulate
our thoughts and feelings. Explain how cinema as a
visual medium, engages with us in constructing
meaning.
28. Presentations – Biography
Individual Student Presentation on a Biography of
his/her own choice, enhancing communication
skills, soft skills and public speaking
29. Presentations – Biography
Individual Student Presentation on a Biography of
his/her own choice, enhancing communication
skills, soft skills and public speaking
30. Presentations – Biography
Individual Student Presentation on a Biography of
his/her own choice, enhancing communication
skills, soft skills and public speaking
Page 76 of 92
COURSE STRUCTURE
Course Code ECE5039A
Course Category Inter-disciplinary
Course Title Minor Project
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 60 0+0+2
Course Objectives: 1. Knowledge: To explore and strengthen the understanding of fundamentals through practical
application of theoretical concepts
2. Skill: To gain realistic experience in developing a real life solution to a problem of
interdisciplinary nature.
3. Attitude: To develop an ability to write technical reports.
Course Outcomes: 1. Develop subject specific skills and practices. (CL VI)
2. Critical review of the literature on the chosen topic, convert ideas into a project. (CL V)
3. Justify communicate findings of work or design of project carried out and demonstrate
contribution to both expert panel of examiners. (CL V)
A mini project is an individual or collaborative work that is carefully planned and researched about by
students. It requires a larger amount of effort and more independent work than that involved in a
normal laboratory assignmentand also requires to undertake their own fact-finding and analysis, from
available technical resources. The written report will contain sections on the project's inception and
idea, system design, algorithmic implementation, analysis, findings and conclusions.
Mini project gives each student an opportunity to gain realistic experience in developing a real
lifesolution to a problem of interdisciplinary nature. It provides a framework for exercising all key
aspects of project work, from project specification, through literature and technology research, leading
to project planning, problem solving as well as design and implementation. It also provides a scope
for gaining practical experience ininterpersonal skills, use of IT, project management, project
reporting and project presentation. The project can be either of engineering design nature or have a
research flavor.
The students may carry out a project either in the school or in collaboration with industry. Projects are
usually individual, although it is possible to have a group project which can be broken down into
different parts so that the contribution of each individual can be separately specified and assessed.
Assessment Scheme:
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%) 20(40%)
10(20%)
Term End Examination : 50 Marks
Page 77 of 92
COURSE STRUCTURE
Course Code ECE6003A
Course Category PC
Course Title Internet of Things
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Computer Networks
Course Objectives: 1. Knowledge: To understand the Internet of Things based systems and different architectures
To classify IoT architecture and protocols
2. Skill: To study and understand the privacy and security issues
3. Attitude: To evaluate role of Artificial Intelligence in IoT
Course Outcomes: After completion of this course students will be able to
1. Distinguish the role of Internet of things. (CL IV)
2. Design IoT systems for various application. (CLVI)
3. Elaborate use of AI and data analytics in IoT. (CL VI)
4. Recommend a cloud platform for IoT based system design. (CL V)
Course Contents:
• Overview of Internet of Things IOT Standards, Components, architectures, Characteristics, Challenges, Resource
management, IoT data management and analytics, Communication protocols, Identity
management and authentication, Privacy, Smart DEI model, Internet of Things applications,
• Architecture of an IP based Internet of Things Physical/Link Layer, Network Layer, Transport Layer, Application Layer, Interoperability,
Cloud-based Solutions, REST Architectures, publish/Subscribe Communications,
Discoverability, Scalable and Self-configuring Architecture for Service Discovery in the IoT
• Security and privacy issuesin the Internet of Things IoT security overview, Traditional vs Lightweight security, Security frameworks for IoT,
Privacy in IoT networks
• Applied Internet of Things Introduction, Architecture overview, Hardware for the IoT, Hardware platforms, Sensors, The
gateway, Data transmission, Software for the IoT, Introduction to role of AI and Bigdata,
Economics and feasibility, Edge Intelligence
Laboratory Exercises / Practical: 1. Study of Open IoT Platform and implementation of IoT application
2. Study of one cloud platform and understanding transferof sensor data to Cloud.
3. Study of MQTT Protocol and establish machine to machine communication
4. Mini project of IoT
5. Design an end to end prototype model for an IoT application (without implementation)
Page 78 of 92
Learning Resources:
Reference Books:
1. Simone Cirani Gianluigi,Internet of Things Architectures, Protocols and Standards,
JohnWiley& Sons Ltd,2019
2. Rajkumar Buyya and Amir Vahid Dastjerdi, Internet of Things: Principles and Paradigms. 1st
Edition, Morgan Kaufmann, 2016
3. Raj Kamal, Internet of Things. New Delhi: McGraw Hill, 2017
Supplementary Reading:
1. DaCosta, Francis, Henderson, Byron, Rethinking the Internet of Things: A Scalable Approach to
Connecting Everything
2. Stefan Poslad, Ubiquitous Computing: Smart Devices, Environments and Interactions
Web Resources:
Weblinks:https://ieee-iotj.org/
https://iot.ieee.org/
MOOCs:https://www.my-mooc.com/en/mooc/introduction-internet-things-iot-curtinx-iot1x/
https://www.coursera.org/specializations/internet-of-things
http://iot-open.eu/io2/
Pedagogy:
���� Power Point Presentations, videos
���� Group activities
���� Applications case studies
Assessment Scheme:
Class Continuous Assessment (CCA)
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA)
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%) 20(40%) 10(20%)
Term End Examination :50 Marks
Term end exam of 50 Marks will be based on entire syllabus.
Page 79 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Overview of Internet of Things: IOT Standards,
Components, architectures, Characteristics, Challenges,
Resource management, IoT data management and
analytics, Communication protocols, Identity
management and authentication, Privacy, Smart DEI
model, Internet of Things applications,
8 6 2
2
Architecture of an IP-based Internetof Things: Physical/Link Layer, Network Layer, Transport Layer,
Application Layer, Interoperability, Cloud-based
Solutions, REST Architectures, publish/Subscribe
Communications, Discoverability, Scalable and Self-
configuring Architecture for Service Discovery in the
IoT
8 6 2
3
Security and privacy issues in the Internet of Things:
IoT security overview,Traditional vs Lightweight
security, Security frameworks for IoT, Privacy in IoT
networks
7 6 1
4
Applied Internet of Things: Introduction, Architecture
overview, Hardware for the IoT,Hardware platforms,
Sensors, The gateway, Data transmission, Software for the
IoT, Introduction to role of AI and Bigdata, Economics
and feasibility, Edge Intelligence
7 6 1
Page 80 of 92
COURSE STRUCTURE
Course Code ECE6004A
Course Category PC
Course Title Software Defined Networks
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 30 2+0+1
Pre-requisites: Computer Networks
Course Objectives:
Knowledge: The objective is to learn about Software Defined Networking, an emerging Internet
architectural framework, including the main concepts, architectures,
Skills: To study algorithms, protocols,
Attitude: Applications and related topics.
Course Outcomes: After completion of this course students will be able to
1. Explain the concepts and architectures of Software Defined Networking. (CL II)
2. Learn programming SDNs, Current Languages and Tools and Composition of SDNs (CL III)
3. Design various use cases of SDNs e.g Data Centers, Backbone Networks, Home Networks
(CL VI)
Course Contents:
• Introduction to SDN
History and Evolution of Software Defined Networking (SDN), Separation of Control Plane
and Data Plane: Concepts, Advantages and Disadvantages, The OpenFlow protocol, Openflow
architecture, message structure
• Network Virtualization
Concepts, Applications, Existing Network Virtualization Framework (VMWare and others),
Mininet based examples, Control Plane: Overview, Existing SDN Controllers including
Floodlight and OpenDaylight projects, Data Plane overview
• Programming SDNs
SDN Interfaces- North-Bound and South-bound, South-bound interfaces introduction-
Openflow, OVSDB, BGP-LS, BGP-PCEP, NetConf and YANG, Northbound interfaces
introduction- REST, RESTFul and RESTCONF, Network Functions Virtualization (NFV) and
Software Defined Networks: Concepts, Implementation and Applications.
• Use case of SDNs
SDN Multilayer deployment, Optical and Wireless Architectures,Introduction to SD-WAN,
Data Centers, Internet Exchange Points, Backbone Networks, Home Networks, Traffic
Engineering.
Page 81 of 92
Laboratory Exercises / Practical:
1. Install Mininet and its commands
2. Implementation of various types of topologies using Mininet
3. Create topology and run “l2_learning” application. Capture packets using Wireshark.
4. Create custom topology using Miniedit and configure OpenFlow switch.
5. Openflow packet analysis using Wireshark
6. Topology implementation using Miniedit
7. Python API Implementation
Learning Resources:
Reference Books:
1. Thomas D. Nadeau and Ken Gray, SDN: Software Defined Networks, An Authoritative Review
of Network Programmability Technologies, O'Reilly Media, 2013
2. Paul Goransson and Chuck Black, Software Defined Networks: A Comprehensive Approach,
Morgan Kaufmann, 2014
3. Vivek Tiwari, SDN and OpenFlow for Beginners, Amazon Digital Services, Inc.,2013
Pedagogy:
���� Power Point Presentations
���� Video
���� Group Activities
Page 82 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Introduction to SDN: History and Evolution of Software
Defined Networking (SDN), Separation of Control Plane
and Data Plane: Concepts, Advantages and Disadvantages,
The OpenFlow protocol, Openflow architecture, message
structure
8 6 2
2
Network Virtualization: Concepts, Applications,
Existing Network Virtualization Framework (VMWare
and others), Mininet based examples, Control Plane:
Overview, Existing SDN Controllers including Floodlight
and OpenDaylight projects, Data Plane overview
8 6 2
3
Programming SDNs: SDN Interfaces- North-Bound and
South-bound, South-bound interfaces introduction-
Openflow, OVSDB, BGP-LS, BGP-PCEP, NetConf and
YANG, Northbound interfaces introduction- REST,
RESTFul and RESTCONF, Network Functions
Virtualization (NFV) and Software Defined Networks:
Concepts, Implementation and Applications.
6 6 1
4
Use cases of SDNs: SDN Multilayer deployment, Optical
and Wireless Architectures,Introduction to SD-WAN,
Data Centers, Internet Exchange Points, Backbone
Networks, Home Networks, Traffic Engineering.
6 6 1
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Laboratory Continuous Assessment (LCA):50 Marks
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
20(40%)
20(40%) 10(20%)
Term End Examination : 50 Marks
Page 83 of 92
COURSE STRUCTURE
Course Code ECE6007A
Course Category Inter-disciplinary
Course Title Wireless Network Security (Elective IV)
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites: Computer Networks
Course Objectives:
1. Knowledge: Understand the trust model in wireless networks
Learn security perspective in Cellular networks
2. Skills: Acquire practical aspects of hacking in Wi-Fi and Bluetooth networks
3. Attitude: Understand issues of security in ad-hoc networks
Course Outcomes: After completion of this course students will be able to
1. Design and implement trust model in wireless networks (CL VI)
2. Demonstrate application level security in cellular networks (CL II)
3. Setup and configure Wi-Fi access point for security in wireless networks (CL III)
4. Assess impact of security algorithms in wireless ad-hoc networks (CL V)
Course Contents:
• Security and Privacy for Mobile and Wireless Networks: Introduction, Security in the digital age, Private property: from vulnerabilities to risks,
Definition of security, Trust and subjectivity in security, Services and security, Threats and
risks to telecommunications systems, Role of telecommunications systems, Threat models in
telecommunications systems, Homogeneity vs. heterogeneity, The Internet and security
• Mobile System Architecture
Introduction, Signaling Signaling System 7 (SS7),SS7 protocol stack, Vulnerability of SS7
networks, Possible attacks on SS7 networks, Securing SS7,Security in the GSM, GSM
architecture, Security mechanisms in GSM, GPRS security mechanisms, Exploiting GPRS
security flaws, Application security,3G security, UMTS infrastructure, UMTS security,
Network interconnection, H.323, SIP
• Wireless Security
Overview of Wireless security, Scanning and Enumerating 802.11 Networks, Attacking
802.11 Networks, Attacking WPA protected 802.11 Networks, Zigbee Security, Zigbee
Attacks
• Security in Wireless Networks Security in Ad Hoc Wireless Networks, Network Security Requirements, Issues and
Challenges in Security Provisioning, Network Security Attacks
Page 84 of 92
Laboratory Exercises / Practical:
1. Study the security permissions for applications in android phones. Compare security features
in iphones, windows phones and android phones.
2. Write a program in TCL to simulate Secured routing in mobile Ad-hoc network. Also compare
security overhead in routing algorithms. You may use Netsimor NS2/Omnet /Qualnet for this
experiment.
3. Write an android program for secured Wi-Fi communication between peer to peer mobile
devices using Wi-Fi direct or through access point. Use Bouncy castle library API.
4. Develop secured web user registration system using webserver, database. You need to
authenticate the users with OTP (one time passwords) received in your mobile phones and in
email box. You need to complete registration process with OTP.
5. Configure access point and manage the access control for security. Access point is a
networking hardware device that allows a Wi-Fi device to connect to a wired network.
The AP usually connects to a router (via a wired network) as a standalone device, but it can
also be an integral component of the router itself. An AP is differentiated from a hotspot,
which is the physical location where Wi-Fi access to a WLAN is available
Learning Resources:
Reference Books:
• Kia Makki, Peter Reiher, “Mobile and Wireless Network Security and Privacy “, Springer, ISBN
978-0-387-71057-0, 2007.
• Johny Cache, Joshua Wright and Vincent Liu, “Hacking Wireless Exposed: Wireless Security
Secrets & Solutions”, second edition, McGraw Hill, ISBN: 978-0-07-166662-6, 2010
• Noureddine Boudriga,” Security of Mobile Communications”, ISBN 9780849379413, 2010
• C. Siva Ram Murthy, B.S. Manoj,“Adhoc Wireless Networks Architectures and Protocols”, PHI, x
ISBN 9788131706885, 2007.
Supplementary Reading:
• Web Resources:
• http://whatis.techtarget.com/definition/mobile-security
• http://techgenix.com/security/mobile-wireless-security/
• Weblinks:
• https://www.csoonline.com/article/2122635/mobile-security/wireless-security--the-basics.html
Pedagogy:
���� Power Point Presentations, Videos
���� Group Activities
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Term End Examination : 50 Marks
Page 85 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Vulnerabilities of Wired and Wireless Networks Introduction, Security in the digital age, Private property:
from vulnerabilities to risks, Definition of security, Trust
and subjectivity in security, Services and security, Threats
and risks to telecommunications systems, Role of
telecommunications systems, Threat models in
telecommunications systems, Homogeneity vs.
heterogeneity, The Internet and security
8
2
Security in Mobile Telecommunication Networks Introduction, SignalingSignaling System 7 (SS7),SS7
protocol stack, Vulnerability of SS7 networks, Possible
attacks on SS7 networks, Securing SS7,Security in the
GSM, GSM architecture, Security mechanisms in GSM,
GPRS security mechanisms, Exploiting GPRS security
flaws, Application security,3G security, UMTS
infrastructure, UMTS security, Network interconnection,
H.323, SIP
8
3
Local Wireless Networks: Attacks and Security Overview of Wireless security, Scanning and Enumerating
802.11 Networks, Attacking 802.11 Networks, Attacking
WPA protected 802.11 Networks, Zigbee Security, Zigbee
Attacks
8
4
Mobile Adhoc Networks: Attacks and Security
Security in Ad Hoc Wireless Networks, Network Security
Requirements, Issues and Challenges in Security
Provisioning, Network Security Attacks
6
Page 86 of 92
COURSE STRUCTURE
Course Code ECE6008A
Course Category Inter-disciplinary
Course Title Mobile Computing (Elective IV)
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Pre-requisites: Computer Networks
Course Objectives:
1. Knowledge (i) To familiarize with the fundamentals of mobile communication and computing.
(ii) To understand the various aspects of mobile OS.
2. Skills (i) To acquaint students with the various issues and approaches of mobile computing.
(ii) To know about the protocols, security issues and applications of mobile Adhock nw.
3. Attitude (i) To learn about the different components of mobile computing.
Course Outcomes: After completion of this course students will be able to
1.Build a good knowledge of the principles of mobile computing.(CL-I)
2. Understand the approaches in the TCP layers for mobile computing environment.(CL-I)
3. Identify the issues in data dissemination and context aware computing.(CL-I)
4. Understand the features of mobile Ad hock networks.(CL-I)
Course Contents:
• Mobile cellular communication and computing:
• Mobile Network and Transport Layer
• Data distribution and management
• Mobile OS and Languages
Laboratory Exercises / Practical:
1. Learn the structure of Mobile commerce.
2. Study of energy efficient approaches for mobile computing.
3. Develop a simple mobile computing application using J2ME / Python / .NET
4. Design a personal phone book containing the name, phone no., address, e-mail, etc.
5. Explore the types and features of operating system for mobile devices
Learning Resources:
Reference Books:
1. Jochen Schiller, Mobile Communications. Pearson India, 2008.
2. Adelstein, Frank, Gupta, Sandeep KS, Richard III, Golden, Schwiebert, Loren,Fundamentals
of Mobile and Pervasive Computing.TataMcGraw-hill,2005.
3. Stojmenovic and Cacute, Handbook of Wireless Networks and Mobile Computing. Wiley,
2002.
4. Raj Kamal, Mobile Computing. Oxford Press, 2007
Pedagogy:
���� Power Point Presentations, Videos
���� Group Activities
Page 87 of 92
SYLLABUS
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1
Mobile cellular communication and computing:
Cellular architecture, co-channel interference, frequency
reuse, capacity increase by cell splitting. Introduction to
Mobile computing, adaptability issues,
mechanisms,mobility management, location management
principle and techniques, PCS location management
Scheme, (Wireless) Medium Access Control, Motivation
for a specialized MAC, DMA, FDMA, TDMA, CDMA,
mobile Internet, features of latest smartphones and tablets
8
2
Mobile Network and Transport Layer:
Mobile IP, IP packet delivery, Dynamic Host
Configuration Protocol (DHCP), TCP over wireless
networks, approaches for TCP performance
improvement, Database systems in mobile environments,
World Wide Web and mobility
8
3
Data distribution and management: Challenges, Data dissemination, bandwidth allocation for
publishing, broadcast disk scheduling, mobile cache
maintenance schemes, Mobile Web Caching, context-
aware computing, types of contexts, applications,
Middleware.
8
4
Mobile OS and Languages:
Markuplanguages :XML and HTML5 for building mobile
Internet applications, Mobile application development
languages such as Java, JME, Python, and .Net
framework, Mobile application development platforms
and generation OSs—iOS and Android.
6
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Term End Examination : 50 Marks
Page 88 of 92
COURSE STRUCTURE
Course Code ECE6009A
Course Category PC
Course Title Project Stage – I
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 180 0+0+6
Pre-requisites:
Course Objectives:
1. To make comprehensive use of the technical knowledge gained from previous courses.
2. Identify a problem through literature survey in the selected project domain
3. To apply project management skills such as planning of work, procuring parts, and
documenting expenditures and working within the timeline.
Course Outcomes: After completion of this course students will be able to
1. Identify a suitable project/problem statement making use of the technical knowledge gained
from previous courses
2. Collect and disseminate information related to the selected project within given timeframe.
3. Communicate technical information by means of oral as well as written Presentation skills in a
professional manner.
Course Contents:
Project Stage – I is a partial work of the project including problem statement, literature review,
project overview, and implementation scheme and system design. Student should deliver a
presentation on the selected project topic and submit a project stage I seminar report in standard
format, certified by concerned authority.
Readings:
1. Journal Publications
2. Conference / Seminar Proceedings
3. Handbooks / Research Digests
4. Research articles on internet
Pedagogy:
1. Power Point Presentation
Assessment Scheme:
Laboratory Continuous Assessment (LCA):50 Marks
Project Synopsis
Review
Presentation/
Report
Site Visit Mini
Project
Problem
based
Learning
Any other
Regularity
15(30%)
30(60%) 05(10%)
Term End Examination : 50 Marks
Page 89 of 92
COURSE STRUCTURE
The students can choose an online/MOOC/research based course of their choice. The level of
course should be equivalent to University level course.
Assessment Scheme:
Class Continuous Assessment (CCA) :50 Marks
Assignments Test Presentations Case study MCQ Oral Any other
20 (40%)
15(30%) 10(20%) 05(10%)
Term End Examination : 50 Marks
Course Code
Course Category OPE/MOOC
Course Title
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Page 90 of 92
COURSE STRUCTURE
Course Code ECE6010A
Course Category PC
Course Title Project Stage - II
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 330 0+0+11
Pre-requisites:
Course Objectives:
1. Knowledge: To analyses, synthesize and conceptualize the identified problem
To conduct independent research to formulate and solve the chosen problem
2. Skills: Identify the modern tools required for the implementation of the project.
3. Attitude: To communicate clearly, write effective reports and make effective presentations
following the professional code of conduct
Course Outcomes: After completion of this course students will be able to
1. Design and analyses a prototype for the identified problem during Stage I (CL VI)
2. Implement the identified problem (CL III)
3. Use modern tools for the implementation of the project. (CL III)
4. Communicate technical information by means of oral as well as written presentation Skills in
a professional manner. (CL VI)de
Course Contents:
Project Stage – II is a partial work of the project including the fabrication/assembly of set up
required for the project and experimentation. Student should publish paper on their project
topic in reputed international journals/conferences. Student should deliver a presentation on the
selected project topic, its implementation and submit a project stage II seminar report in
standard format, certified by concerned authority.
Readings:
1. Journal Publications
2. Conference / Seminar Proceedings
3. Handbooks / Research Digests
4. Research articles on internet
Pedagogy:
1. Power Point Presentation
Assessment Scheme:
Laboratory Continuous Assessment (LCA):100 Marks
Project Synopsis and
Review
Oral presentation
Report
Site Visit Mini
Project
Problem
based
Learning
Any other
20(20%)
60(60%) 20(20%)
Term End Examination : 50 Marks
Page 91 of 92
COURSE STRUCTURE
The students can choose an online/MOOC/research based course of their choice. The level of
course should be equivalent to University level course.
Assessment Scheme:
Class Continuous Assessment (CCA) :100 Marks
Course Code
Course Category OPE/MOOC
Course Title
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
30 0 0 2+0+0
Page 92 of 92
COURSE STRUCTURE
Course Code ECE6011A
Course Category PC
Course Title Project Stage - III
Teaching Scheme and Credits
Total load in hrs
L T Laboratory Credits
0 0 330 0+0+11
Pre-requisites:
Course Objectives:
1. To carry out experimentation and testing of the project prototype
2. To write and present technical papers/articles in a professional manner.
Course Outcomes: After completion of this course students will be able to
1. Analyze the results and draw conclusions (CL IV)
2. Publish and present technical papers/articles in a professional manner. (CL VI)
Course Contents:
In Project Stage – III, the student should complete the remaining part of the project with
results and validation of results and conclusions. Student should publish paper on their project
topic in reputed international journals/conferences. Student should deliver a presentation and
demonstration on the selected project topic and submit a final project report in standard format,
certified by concerned authority.
Readings:
1. Journal Publications
2. Conference / Seminar Proceedings
3. Handbooks / Research Digests
4. Research articles on internet
Pedagogy:
1. Power Point Presentation
Assessment Scheme:
Laboratory Continuous Assessment (LCA):100 Marks
Project Synopsis and
Review
Oral /
Presentation
Site Visit Mini
Project
Problem
based
Learning
Any other
Regularity
20(20%)
70(70%) 10(10%)
Term End Examination : 100 Marks
Prepared By Checked By Approved By
Prof. V. S. Jadhav
Co-ordinator
MTech (ECE– WCN)
Dr. Suchitra Khoje
AHoS
ECE, MIT-WPU
Dr. Vinaya Gohokar
HoS
ECE, MIT-WPU
Dr. P. D. Khandekar
Dean, FoET
MIT-WPU, PUNE.