SYLLABUS DR VISHWANATH KARAD MIT WORLD PEACE …

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.


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)


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

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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


MIT-WPU, PUNE.

Prof. Dr. P. D. Khandekar

Dean,


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

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Networks) (Batch 2021-23)

Trimester – II



Total Credits First Year M. Tech Trimester - II: 14 #LCA: Laboratory Continuous Assessment

Prof. V. S. Jadhav



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

Sr.

No.

Course


Total Hrs Credits Assessment Marks **


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

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Trimester – III



Total Credits First Year M. Tech Trimester - III: 13 #LCA: Laboratory Continuous Assessment

Prof. V. S. Jadhav

PG Coordinator,School of ECE


MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

Sr.

No

.

Course




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

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Second Year M.Tech. (Electronics & Communication Engg. – Wireless Communication and


Trimester – IV



Total Credits First Year M. Tech Trimester - IV: 14 #LCA: Laboratory Continuous Assessment

Prof. V. S. Jadhav



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

Sr.

No. Course Code Name of Course Type



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

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Trimester – V



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



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

Sr.




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

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Trimester – VI



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



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

Sr.



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

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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



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

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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



MIT-WPU, Pune.


HoS, School of ECE


MIT-WPU, PUNE.


Dean,


MIT-WPU, PUNE.

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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.

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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

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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

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COURSE STRUCTURE

Course Code ECE5016A

Course Category PC

Course Title Advanced Communication Networks


Total load in hrs


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


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

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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


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%)


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

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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

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COURSE STRUCTURE


Course Category PC

Course Title Signal Analysis for Communication Systems


Total load in hrs


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.


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

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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


1. Aaron Kershenbaum, Telecommunications Network Design Algorithms. McGraw Hill,1993

Pedagogy:

�� Power Point Presentations, Videos


Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%) 20(40%) 10(20%)


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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

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COURSE STRUCTURE

Course Code WPC101A

Course Category WP

Course Title World Famous Philosophers, Sages/ Saints and Great

Kings


Total load in hrs


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

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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

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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.

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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



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.

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COURUSE STRUCTURE


Course Category PC

Course Title Seminar


Total load in hrs


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:


Literature Survey/

Report

Presentation Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)

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COURSE STRUCTURE


Course Category PC

Course Title Software Lab


Total load in hrs


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


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

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• 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.


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


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/

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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:


�� Programming skill based exercises


Assessment Scheme:



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


of 92

COURSE STRUCTURE


Course Category PC

Course Title Wireless and Cellular Communications


Total load in hrs


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


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

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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


Stuber Gordon L., Principles of Mobile Communication.3rd Edition. New York: Springer,

2011

Pedagogy:


�� Co-teaching


Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PC

Course Title Routing Algorithms and Protocols


Total load in hrs


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


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

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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:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PC

Course Title Adhoc and Sensor Networks


Total load in hrs


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.


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.

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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:


�� Co-teaching

� Group Activities

AssessmentScheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title Optical and Satellite Communication


Total load in hrs


30 0 30 2+0+1


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.


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.

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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:


�� Co-teaching


Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title Network Programming (Elective I)


Total load in hrs


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


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


1. Richard Stevens, “Advanced Programming in the Unix Environment”, Pearson Education

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Pedagogy:


�� Co-teaching


Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%) 20(40%) 10(20%)


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

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COURSE STRUCTURE

Course Code WPC501A

Course Category WP

Course Title Philosophy of Science and Religion/Spirituality


Total load in hrs


30 0 0 2+0+0


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.

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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

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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)

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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


through union with self in the form of Bhakti yoga.

12 Bhagwat Gita in reference

ofDnyana Yoga


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


17 Scientists of ancient India : Part 3 Students will be able to understand the various scientific


18 Comparative study of World's major

Religions: Buddhism.

Students will be able to understand the various

principles and teachings of Buddhism

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Religions:Jainism.


principles and teachings ofJainism


Religions: Islam.


principles and teachings of Islam.


Religions: Sikhism.


principles and teachings of Sikhism.


Religions: Judaism.


principles and teachings of Judaism.


Religions: Taoism.


principles and teachings of Taoism.


Religions: Christianity.


principles and teachings of Christianity.

25

Comparative study of World's major

Religions:Zoroastrians, Baha’ism

and Judaism


principles and teachings ofZoroastrians, Baha’ism

and Judaism

26

Film Appreciation



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




our thoughts and feelings. Explain how cinema as a


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


his/her own choice, enhancing communication skills,

soft skills and public speaking

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COURSE STRUCTURE


Course Category PC

Course Title Advanced 4G & 5G Wireless Technologies


Total load in hrs


30 0 30 2+0+1


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.


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.

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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


Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title Artificial Intelligence Techniques and Applications


Total load in hrs


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.

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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)

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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:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title RF Systems for Wireless ( Elective II)


Total load in hrs


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


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


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

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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.


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:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title Network and Service Management ( Elective III)


Total load in hrs


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.


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


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

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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:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


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

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COURSE STRUCTURE


Course Category PE

Course Title Cognitive Radio ( Elective III)


Weekly load hrs


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.


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


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

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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.


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


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%)

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

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COURSE STRUCTURE

Course Code WPC302A

Course Category WP

Course Title Study of Languages, Peace in Communications and

Human Dynamics


Total load in hrs


30 0 0 2+0+0


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.

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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

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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

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

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6.

Non-verbal communication, body

language.

Non Verbal Communication: Nonverbal

Communication=Communication without words

7.


language

Non Verbal Communication: Nonverbal

Communication=Communication without

words/Activity

8.


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


IQ Intellectual Quotient

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EQ Emotional Quotient


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






meaning.

27. Film Appreciation






meaning.

28. Presentations – Biography


his/her own choice, enhancing communication

skills, soft skills and public speaking









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COURSE STRUCTURE


Course Category Inter-disciplinary

Course Title Minor Project


Total load in hrs


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:



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%) 20(40%)

10(20%)


of 92

COURSE STRUCTURE


Course Category PC

Course Title Internet of Things


Total load in hrs


30 0 30 2+0+1


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


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)

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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


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)


20 (40%)

15(30%) 10(20%) 05(10%)

Laboratory Continuous Assessment (LCA)


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.

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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

of 92

COURSE STRUCTURE


Course Category PC

Course Title Software Defined Networks


Total load in hrs


30 0 30 2+0+1


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.


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.

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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


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:



20 (40%)

15(30%) 10(20%) 05(10%)



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

20(40%)

20(40%) 10(20%)


of 92

COURSE STRUCTURE



Course Title Wireless Network Security (Elective IV)


Total load in hrs


30 0 0 2+0+0


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


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

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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.


• 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:



Assessment Scheme:



20 (40%)

15(30%) 10(20%) 05(10%)


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

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COURSE STRUCTURE



Course Title Mobile Computing (Elective IV)


Total load in hrs


30 0 0 2+0+0


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.


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


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:



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:



20 (40%)

15(30%) 10(20%) 05(10%)


of 92

COURSE STRUCTURE


Course Category PC

Course Title Project Stage – I


Total load in hrs


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.


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:


Project Synopsis

Review

Presentation/

Report

Site Visit Mini

Project

Problem

based

Learning

Any other

Regularity

15(30%)

30(60%) 05(10%)


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:



20 (40%)

15(30%) 10(20%) 05(10%)


Course Code

Course Category OPE/MOOC

Course Title


Total load in hrs


30 0 0 2+0+0

of 92

COURSE STRUCTURE


Course Category PC

Course Title Project Stage - II


Total load in hrs


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


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:





Pedagogy:


Assessment Scheme:


Project Synopsis and

Review

Oral presentation

Report

Site Visit Mini

Project

Problem

based

Learning

Any other

20(20%)

60(60%) 20(20%)


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:


Course Code

Course Category OPE/MOOC

Course Title


Total load in hrs


30 0 0 2+0+0

of 92

COURSE STRUCTURE


Course Category PC

Course Title Project Stage - III


Total load in hrs


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.


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:





Pedagogy:


Assessment Scheme:


Project Synopsis and

Review

Oral /

Presentation

Site Visit Mini

Project

Problem

based

Learning

Any other

Regularity

20(20%)

70(70%) 10(10%)


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.

SYLLABUS DR VISHWANATH KARAD MIT WORLD PEACE …

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