t.e. semester vi choice based credit grading scheme with ... vi schem… · t.e. semester vi choice...

T.E. Semester –VI (E&TC)

Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)

TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)

Course Description Teaching Scheme (Academic) Examination Scheme (Academic)

Modes of Teaching/Learning/Weightage Modes of Continuous Assessment/Evaluation

Sr.

No

.

Course Code Course Title

Hours Per Week

Credits

Theory (100) Practical/

Oral (25)

Term

Work (25) Total

Theory Tutorial Practical Contact

Hours IA ESE PR/OR TW

1. HSMC-ETC601 Soft Skills and Interpersonal Communication

3 - - 3 3 25 75 - - 100

2. PCC-ETC601 Digital Communication 3 1 2 6 5 25 75 25 25 150

3. PCC-ETC602 Computer Communication Network 3 - 2 5 4 25 75 25 25 150

4. PEC-ETC601X Professional Elective II 3 - 2@ 5 4 25 75 25 25 150

5. OEC-ETC601X Open Elective I 3 - - 3 3 25 75 - - 100

Total 15 1 6 22 19 Total marks 650

Course Description Non-Credited Mandatory Course (Passing is mandatory for this course) TW

1 MC-ETC601 Essence of Indian Knowledge

Tradition 1 - - 1

(Non-

Credit) - 25 25

Course Description Contact Hrs. during Semester Break/ End of Semester (Between 21st and 25

th Week) TW

1 SI-ETC601 Summer Internship - - - 160 * -

240* 4 *- 6*

- - - 50 50

Course Description Contact Hrs. during Week End / Semester Break/ End of Semester (Between 21st and 25th Week) / During Semester

1 AP-ETC601 Activity Points - - - 52# - - - - - -

Course Description Teaching scheme (Holistic Student Development - HSD) (Conducted in the beginning of Semester during first 3 Weeks)

Evaluation Scheme (HSD)

Presentation Report Total

AC AC

1. ESD-ETC601 Employability Skill Development

IV - - 30 30 1

Based on Parameters Decided by Training and

Placement Cell 50

2. HSD-ETCPS601

Professional Skills VI (Industry

Skills/Research Skills) 15 - 30 45 2 50 25 75

3. HSD-ETCPBL601 Project Based Learning IV

- - 30 30 1 25 - 25

4. HSD-ETCABL601 Research Based Learning II - - 30 30 1 25 25 50

Total 15 - 120 135 5 Total marks 200

Total 28 Grand Total marks: 925

PROFESSIONAL ELECTIVE II OPEN ELECTIVE I

Course Code Course name Domain Course Code Course name PEC-ETC6011 Mixed Signal Design 1 OEC-ETC6011 Digital Marketing

PEC-ETC6012 Fibre Optic Communications

2 OEC-ETC6012 Software Process Automation

PEC-ETC6013 Embedded Systems and

RTOS

3

PEC-ETC6014 Electromagnetic Interference

and Compatibility

4

PEC-ETC6015 Speech and Audio Processing 5

1. IA- In-Semester Assessment, ESE- End Semester Examination, PR- Practical Examination, TW – Term Work Examination, OR- Oral Examination, AC- Activity evaluation

2. @-Professional Elective Courses Lab will be conducted in the form Capstone Project

* Students may go up to 240 hrs. to acquire maximum 6 credits. Students should collectively acquire total contact hrs. in above activities in a span of 1 year (5th and 6th

Semester). Student will submit a report to earn Term work marks in internship at the end of 6th Semester.

Following activities should be considered for Summer Internship: -

1)Participation in inhouse internship at the end of 5th and 6th semester of 2 week each.

2)Other activity which also will be considered are: Participation in Hackathon, Development of new Product/ Business Plan / Registration of start-up, Participation in IPR

workshop/Leadership talks/Idea/ Design / Innovation/Technical Expos, Internship with Industry / Govt. / NGO/ PSU/MSME/Online Internship, Long Term Goals under Rural

Internship.

Note: - For Above Activities mentioned in point 2, if Student is part of Organizing Committee or Participating a Competition at University/State/National/international Level

then it will be considered as Internship else it will be considered as Activity Points.

#As per AICTE, Students has to earn 100 Points by participating in 400 Hrs. of activities during 4 years of Engineering. After Completing 52 hrs. of Activities, Students can

earn 12 Points. This Points will not be reflected in Grade Card. Separate transcript will be issued to students after completion of Final Year.




B. Tech. E&TC (Cyber Security and Network Management) SEM: VI

Course Name: Soft Skills and Interpersonal Communication Course Code: HSMC-ETC601

Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)

Modes of Teaching / Learning / Weightage Modes of Continuous Assessment/ Evaluation

Hours Per Week Theory

(50)

Practical/

Oral

Term Work

(25)

Total

Theory Tutorial Practica

l

Contact

Hours

Cre

dits

IA ESE PR/OR TW

100

3 - - 3 3 25 75 -

-

IA: In-Semester Assessment - Paper Duration – 1.5 Hour

ESE: End Semester Examination - Paper Duration - 3 Hours

The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion of

practical (40%) and Attendance / Learning Attitude (20%)

Prerequisite- Basic knowledge of English language, Grammar and Vocabulary

Course Objective: The course intends to understand basics of soft skills, learn essential life skills, understand and develop self

and incorporate ethics and etiquette in day to day life

Course Outcomes: Upon completion of the course students will be able to:

Sr.

No.

Course Outcomes Cognitive level

attainment as per

revised Bloom

Taxonomy

1 Understand basics of soft skills L1, L2, L3

2 Learn essential life skills L1, L2, L3

3 Understand and develop self L1, L2, L3

4 Understand others with empathy L1, L2, L3

5 Use employment skills for placement and higher studies L1, L2, L3

6 Incorporate ethics and etiquette in day to day life L1, L2, L3

Detailed Syllabus:

Module No. Topics Hrs. Cognitive level

attainment as

per revised

Bloom

Taxonomy

1.0 Introduction to Soft Skills 4 L1, L2

1.1 Meaning and Concept

1.2 Importance of soft Skills

1.3 Soft Skills for Lifelong learning- Building a better world

2.0 Essential Soft Skills 6 L1, L2, L3

2.1 Personal integrity

2.2 Taking responsibility

2.3 Professionalism

2.4 Communication

2.5 Critical Thinking

2.6 Creativity and Innovation

3.0 Self-Development 5 L1, L2, L3

3.1 Self-assessment, Awareness, Perception and Attitudes,

Values and belief, Personal goal setting, career planning, Self -

esteem.

3.2 Personal memory

3.3 Rapid reading & Taking notes

3.4 Complex problem solving

3.5 Creativity

4.0 Introduction to Interpersonal Skills 6 L1, L2, L3

4.1 Team work: Mentorship, Motivation

4.2 Problem Solving

4.3 Decision Making

4.4 Time Management

4.5 Emotional Intelligence

4.6 Negotiation Skills

4.7 Stress Management

5.0 Employability Skills 5 L1, L2, L3

5.1 Cover letter

5.2 Resume

5.3 Group Discussion

5.4 Presentation skills

5.5 Interview skills

6.0 Introduction to Corporate Ethics and Etiquette 4 L1, L2, L3

6.1 Business etiquette (meeting etiquette, Dining etiquette,

Interview etiquette, Professional and work etiquette and

Social Skills)

6.2 Greetings and art of conversation

6.3 Dressing and grooming

6.4 Ethical codes of conduct in business Intonation Pattern for

effective presentation

Total Hours 30

Books and References:

SN Name of the Book Name of the

Author

Publisher Edition Year

1 Practical English Usage Michael Swan OUP 4th Edition 1995

2 Remedial English

Grammar

F.T. Wood Macmillan 2014 Edition 2007

3 Pocket Style Manual Diane Hacker Bedford publication,

New York

2003 Edition

(ISBN

0312406843)

2003

4 You Can Win Shiv Khera Macmillan Books,

New York

2003 Edition 2003

5 Technical Writing &

Professional

Communication for non-

native speakers of

English

Thomas N.

Huckin &

Leslie A.

Olsen

McGraw Hill

Education

2011 Edition 2011

6 The 7 Habits of Highly

Effective People

Stephen Covey Free Press 2016 Edition 2016


Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)


B. Tech. E&TC (Cyber Security and Network Management) SEM: VI

Course Name: Digital Communication Course Code: PCC-ETC601


Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation


(100)

Practical/Oral

(25)

Term Work

(25)

Total


Hours

Credits IA ESE PR TW

150 3 1 2 6 5 25 75 25 25

IA: In-Semester Assessment - Paper Duration – 1.5 Hours


The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely

completion of practical (40%) and Attendance/Learning Attitude (20%)

Prerequisite: Basics of Communication Systems

Course Objective:

The course intends to identify the signals and functions of its different components, to learn about theoretical aspects of d igital

communication system and draw signal space diagrams, compute spectra of modulated signals, to learn about error detection an d

correction to produce optimum receiver.


SN Course Outcomes Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Understand random variables and random processes of signal,

L1

2 Apply the concepts of Information Theory in source coding,

L1, L2

3 Evaluate different methods to eliminate Inter-symbol interference,

L1, L2, L4

4 Compare different band-pass modulation techniques,

L1, L2, L3, L4

5 Evaluate performance of different error control codes.

L1, L2, L3

6 Understand optimum reception of digital signal L1,L2

Detailed Syllabus:

Modul

e No.

Topics Hrs. Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1 Probability Theory & Random Variables

7

L1

Information, Probability, Conditional Probability of independent events, Relation

between probability and probability Density, Raleigh Probability Density, CDF, PDF.

Random Variables, Variance of a Random Variable, correlation between Random

Variables, Statistical Averages (Means), Mean and Variance of sum of Random

variables, Linear mean square Estimation, Central limit theorem

2 Information Theory and Source Coding

6

L1, L2

Block diagram and sub-system description of a digital communication system, measure

of information and properties, entropy and it’s properties

Mini Source Coding, Shannon ‘s Source Coding Theorem,

Shannon-Fano Source Coding, Huffman Source Coding

Differential Entropy, joint and conditional entropy, mutual information and channel

capacity, channel coding theorem, channel capacity theorem

3 Error Control Systems

11

L1, L2, L3,

L4 Types of error control, error control codes, linear block codes, systematic linear block

codes, generator matrix, parity check matrix, syndrome testing, error correction, and

decoder implementation

Systematic and Non-systematic Cyclic codes: encoding with shift register and error

detection and correction

Convolution Codes: Time domain and transform domain approach, graphical

representation, code tree, trellis, state diagram, decoding methods .

4 Bandpass Modulation & Demodulation

9

L1, L2, L3,

L4 Band-pass digital transmitter and receiver model, digital

modulation schemes

Generation, detection, signal space diagram, spectrum, bandwidth efficiency, and

probability of error analysis of: Amplitude Shift Keying (ASK), Frequency Shift

Keying (FSK)Modulations, Binary Phase Shift Keying (BPSK) Modulation,

Quaternary Phase Shift Keying QPSK), M-ary PSK Modulations, Quadrature

Amplitude Modulation (QAM), Minimum Shift Keying (MSK)

5 Baseband Modulation & Transmission

5

L1, L2, L3

Discrete PAM signals and it’s power spectra

Inter-symbol interference, Nyquist criterion for zero ISI, sinusoidal roll-off filtering ,

correlative coding, equalizers, and eye pattern

6 Optimum Reception of Digital Signal L1

Baseband receiver, Probability of Error, Optimum Receiver and Filter, Matched Filter

and its probability of error, Coherent Reception

7

Total Hours 45


SN Title Authors Publisher Edition Year

1 Principles of

Communication

Systems

H. Taub, D. Schlling,

and G. Saha

Tata Mc-

Graw Hill,

New Delhi

3rd Edition

2012

2 Modern Digital and

Analog

Communication

Systems

Lathi B P, and Ding

Z

Oxford

University

Press

4th Edition,

2009

3 Digital

Communication

Systems

Haykin Simon ‖ John Wiley

and Sons,

New Delhi

4th Edition,

2014

4 Digital

Communication:

Fundamentals and

applications

Sklar B, and Ray P.

K

‖ Pearson,

Dorling

Kindersley

(India), Delhi

2nd Edition

2009

5 Analog and Digital

Communication

T L Singal ‖ Tata Mc-

Graw Hill,

New Delhi,

1st Edition 2012

6 Digital Communication P Ramakrishna Rao ‖ Tata Mc-

Graw Hill,

New Delhi

1st Edition 2011

7 Contemporary

Communication

systems

M F Mesiya Mc-Graw

Hill,

Singapore

1st Edition 2014

Online Reference:

S.

No.

Website Name URL Modules

Covered

1 NPTEL https://nptel.ac.in/courses/117/105/117105144/ M1- M6

2 NPTEL https://nptel.ac.in/noc/courses/noc19/SEM1/noc19-ee06/ M1-M6

Suggested list of Practical/ Experiments:

Practical

Number

Type of

Experiment

Practical/ Experiment Topic Hrs

.

RBT Levels

1

Basic

Experiments

To understand Various line codes

2

L1,L2

2

To observe the performance of Non-

Return to Zero (NRZ) types of line code

2

L1,L3

3

Design

Experiments

Modulation and Demodulation of Binary

Amplitude Shift Keying

2

L1, L2, L3

4

To understand sampling theorem and

reconstruction

2

L1, L2, L3

5

Modulation and Demodulation of Binary

Frequency Shift Keying

2

L1, L2

6 Modulation and Demodulation of Binary

Phase Shift Keying

2 L1

7 Modulation and Demodulation of

Quadrature Phase Shift Keying

2

L1, L2, L3

8

Advanced

Experiments

To observe the effect of signal Distortion

using EYE-Diagram

2 L1, L2

9 To Study and perform Linear Block codes 2 L1

10 To Study and perform cyclic codes 2 L1, L2, L3

11

MSE of practical/oral

2 --

12,13,14,15

Mini/Minor

Projects/

Seminar/ Case

Studies

Mini Projects:

1.Design of QPSK

2.Design of QAM

3.Design of Trellies code

Case Study:

1.Design of ASK

2. Design of FSK

3. Design of PSK

8

L1, L2, L3, L4




BE (Electronics and telecommunication Engineering) T.E. (SEM: VI)

Course Name: Computer Communication Network

Course Code: PCC-ETC 602



Hours Per Week Theory Practical/Oral Term Work Total


Hours

Credits IA ESE PR TW

150

3 - 2 5 4 25 75 25 25

IA: In-Semester Assessment Paper Duration – 1.5 Hours


The weightage of marks for continuous evaluation of Term work/Report:

Formative (40%), Timely completion of practical (40%) and Attendance / Learning Attitude (20%)

Prerequisite: Computer Basics, Analog and Digital Communication

Course Objective:

This course is to provide students with an overview of the concepts and fundamentals of computer communication

networks. Topics to be covered include: data communication concepts and techniques in a layered network

architecture, communications switching and routing, types of communication, network congestion, network

topologies, network configuration and management, network model components, layered network models (OSI

reference model, TCP/IP networking architecture) and their protocols, various types of ne tworks and their protocols.


Sr.

No.

Course Objectives Cognitive levels of

attainment as per

Bloom’s

Taxonomy

Students should be able to:

1 Draw and explain computer network layered architecture layers including

protocols and their services.

L1, L2

2 Describe the functions of physical layer and various hardware components

such as physical media, networking components required in data

transmission and multiplexing techniques.

L1, L2

3 Explain different data link layer services and elementary data link protocols. L1, L2

4 Explain medium access sub layer services and multiple access protocols. L1, L2

5 Describe the functions of network layer and how protocols are designed and

used in services for packet routing and forwarding

L1, L2, L3

6 Explain transport layer host to host services such as connection-oriented data

stream support, reliability, flow control, and multiplexing with their

performance parameters.

L1, L2, L3, L4

Detailed Syllabus:



1 Computer Networks A. S. Tanenbaum Prentice Hall 5th

2013

2 Data and Computer

Communication

B. F. Ferouzan McGraw Hill

Higher Education

Special

Indian

2011

3 TCP/IP Protocol Suite B. F. Ferouzan Tata McGraw Hill 4th 2010

4 Computer Networks: A

Systems Approach (The

Morgan Kaufmann Series in

Networking)

Peterson&Davie, Morga n

Kaufmann

5th 2011

5 An Engg, Approach to

ComputerNetworking

S. Keshav Addison Wesley 10th 1997

Online References:

Module

No.

Topics Hrs. Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Introduction

06 L1, L2 Network Applications, Network Hardware, Network Software.

Reference Models, overview of TCP/IP, layer Functions, services,

sockets and ports, Encapsulation.

2 Introduction to Physical layer Services and System

08 L1, L2

Introduction to physical media, Coax, RJ 45, fiber, twisted pair,

DSL, HFC, WiMax, cellular, satellite, and telephone networks, bit

transmission, frequency division multiplexing. time division

multiplexing.

3 The Data Link Layer

08 L1, L2

Data link Layer Design Issues , Error Detection and Correction,

Elementary Data Link Protocols, Sliding Window Protocols,

Example Data Link Protocols: HDLC: High-Level Data Link

Control, The Data Link Layer in The Internet.

4 The Medium Access Layer 06 L1, L2

Channel Allocation Problem, Multiple Access Protocols

5 The Network Layer

10 L1, L2, L3

Network Layer Design Issues, Routing Algorithms. Congestion

Control Algorithms, Quality of Service, Internetworking., The

Network Layer in The Internet: The IP Protocol, IPv4 header, IP

Addressing, Subnetting.

Internet Control Protocols, The Interior Gateway Routing Protocol:

OSPF, The Exterior Gateway Routing Protocol: BGP.

6 The Transport Layer

10 L1, L2, L3, L4

The Transport Service, The Transport Service, The Internet

Transport Protocol: UDP

The Internet Transport Protocol: TCP: -Introduction to TCP, The

TCP Service Model, The TCP Protocol, The TCP Segment Header,

TCP Connection Establishment, TCP Connection Release,

Modeling TCP Connection Management., TCP Transmission

Policy, TCP Congestion Control, TCP Timer Management,

Transactional TCP.

Total 48

Sr.

No.


Covered

1 www.nptel.ac.in https://nptel.ac.in/courses/106105183/ M1-M6

2 www.nptel.ac.in https://nptel.ac.in/courses/106106091/ M1-M6

3 www.cisco.com https://www.cisco.com/c/m/en_za/solutions/computer-

networking.html

M1-M6

Suggested List of Practical/Experiment:

Practical.

No

Type of

Experiment

Practical/ Experiment Topic Hrs. Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1

Basic

Experiments

Study of Networking Devices 2 L1

2 Study of various transmission medium and

switching techniques 2 L1

3

Design

Experiments

To implement data link layer protocol:

Stop & Wait in Matlab 2 L1,L2,L3

4 To implement bit stuffing & Byte stuffing

in Matlab 2 L1,L2,L3

5

To Configure a LAN and perform static

and dynamic routing in Packet Tracer

Software

2 L1,L2,L3

6 To configure a WAN and operate the

basic networking commands to test the

network. 2 L1,L2,L3,L4

7 To configure a Local Area Network in

packet tracer software and perform the

simulation to observe functions of ARP

protocol.

2 L1,L2,L3

8 Advanced

Experiments

To study three way handshaking process

in TCP protocol. 2 L1,L2,L3,L4

9 To simulate a TCP connection and TCP

retransmission timer. 2 L1,L2,L3

10 Design TCP iterative Client and Server

application to reverse the given input

sentence. 2 L1,L2,L3

11 Design UDP Client Server to transfer a file . 2 L1,L2,L3

12,13,14,15

Mini/Minor

Projects/

Seminar/ Case

Studies

1.Design a small or medium sized

computer network including media

types, end devices, and

interconnecting devices that meets a

customer’s specific needs. 2. Case Study: To study installation of

linux operating system by using

DHCP, TFTP and any repository

server like HTTP, FTP or NFS.

3. To implement stream socket that can

serve multiple clients at the same

time.

4. Case study: On E&TC department

LAN structure

8 L1,L2,L3,L4,L5

http://www.nptel.ac.in/

https://nptel.ac.in/courses/106105183/

http://www.nptel.ac.in/


http://www.cisco.com/

https://www.cisco.com/c/m/en_za/solutions/computer-networking.html

https://www.cisco.com/c/m/en_za/solutions/computer-networking.html

Total 30




B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)

Course Name: Mixed Signal Design Course Code: PEC-ETC6011




(100)

Practical/Oral

(25)

Term Work

(25)

Total


Hours Credits IA ESE PR/OR TW

150

3 - 2@ 5 4 25 75 25

25

IA: In- Semester Examination- Paper Duration –1.5 Hour

ESE: End Semester Evaluation- Paper Duration - 3 Hours

The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and

Attendance/Learning Attitude (20%)

Prerequisite: Electronic Devices and Circuits I, Electronic Devices and Circuits II, Linear Integrated Circuits,

Microelectronics.

Course Objective:

The course intends to describe the design of data converters using MSD techniques and the associated trade -offs. The focus is on

practical and useful circuits that uses MSD techniques that may prove useful in ultimately replacing the pipeline ADC in

nanometer CMOS technology nodes.

Course Outcomes:

Upon completion of the course students will be able to:

SN Course Outcomes

Cognitive levels of

attainment as per Bloom’s

Taxonomy

1 Analyze and design single stage MOS Amplifiers. L1, L2, L3, L4, L5

2 Analyze and design Operational Amplifiers and MOS filters L1, L2, L3, L4, L5

3 Analyze and design data converter circuits. L1, L2, L3, L4, L5

4 Identify design requirements of analog and mixed signal circuits L1, L2, L3, L4

5 Analyze and design CMOS based switched capacitor circuits L1, L2, L3, L4, L5

6 Understand Oscillators and Phase Locked Loops. L1

Detailed Syllabus:

Module Topics Hrs. Cognitive

levels of

attainment

No. as per

Bloom’s

Taxonomy

1 Fundamentals of MOS Amplifiers

06 L1, L2, L3,

L4, L5

1.1 MOS Single-stage Amplifiers: Basic concepts of common source

stage, source follower, common gate stage, Differential Amplifiers

1.2 Current mirrors: Basic current mirror, cascode current mirro r,

active current mirror, Wilson and Widlar current mirrors, voltage and

current references

2 Design of MOS operational amplifier

06 L1, L2, L3,

L4, L5

2.1 General considerations, One-Stage Op amps, Two-Stage Op amps,

Gain Boosting, Input Range Limitation.

2.2 Integrator Building Blocks- low pass filter, Active RC integrators,

MOSFET-C Integrators, gm-C integrators, Discrete time integrators.

3 Oscillators and Phase Locked Loops

08 L1, L2, L3,

L4, L5

3.1 General Considerations, Ring Oscillators, LC Oscillators, Voltage

Controlled Oscillators (VCO), tuning range, tuning linearity

Mathematical Model of VCO

3.2 Simple PLL-phase detector, Charge-pump PLL‘s, Non ideal effects

in

PLL, Delay locked Loops, applications of PLL.

4 Switched Capacitor circuits

08 L1, L2, L3,

L4

4.1 Theory of sampled data systems, Basic sampling circuits for analog

signal sampling, performance metrics of sampling circuits, design and

analysis of switched capacitor circuits.

4.2 Switched capacitor amplifiers (SC), switched capacitor integrators,

first and second order switched capacitor circuits.

5 Data converters

10 L1, L2, L3,

L4, L5

5.1 Analog versus digital discrete time signals, converting analog

signals to data signals, sample and hold characteristics. DAC

specifications, ADC specifications

5.2 Mixed signal Layout issues, Floor planning, power supply and

Ground issues, other interconnect Considerations

6 Data Converter Architectures

10 L1

6.1 DAC architectures: R-2R ladder networks, current steering, charge

scaling DACs, Cyclic DAC, pipeline DAC, Switched capacitor based

DAC design.

6.2 ADC architectures: flash, 2-step flash ADC, pipeline ADC,

integrating ADC, and successive approximation ADC, Switched

capacitor based ADC design

Total 48

Books & References:


1 Microelectronic Circuits-Theory and

Application Advanced engineering

mathematics

Sedra, K. Smith,

adapted by A.

Chanorkar

Oxford Higher Education

7th 2015

2 CMOS Mixed-Signal circuit design Jacob Baker IEEE Press 2nd

3 Design of Analog Integrated Circuits B. Razavi McGraw Hill Education Indian

Edition 2000

4 CMOS Analog Circuit Design P. E. Allen and D

R Holberg Oxford University Press 2nd

2002

5 CMOS: Circuit Design, layout and

Simulation

Baker, Li, Boyce PHI 2nd

2000

Online References:

S. No. Website Name URL Modules

Covered

1 www. swayam.gov.in https://swayam.gov.in/nd1_noc19_ee38/preview M1-M3

2 www.edx.org https://www.edx.org/course/essentials -of-mosfets M5, M6

3 www. swayam.gov.in https://swayam.gov.in/nd1_noc19_ee54/preview M1-M4

Suggested List of Practical/ Experiment:

Practical

Number

Type of Experiment Practical/ Experiment Topic Hrs.

Cognitive levels of

attainment as per

Bloom’s Taxonomy

1.

Basic Experiments

MOS single stage amplifier.

2

L1, L2, L3, L4

2. Differential Amplifier. 2 L1, L2, L3, L4

3. Widlar current mirror 2 L1, L2, L3, L4

4. Wilson current mirror

2

L1, L2, L3, L4

5. DAC using R-2R network 2 L1, L2, L3, L4

6.

Design Experiments

Switched capacitor amplifier

2 L1, L2, L3, L4, L5, L6

7.

Design of DAC using R-2R

2

8. Mid Term Examination 2

9.

Advanced Experiments

Implement simple PLL in CMOS technology 2 L1, L2, L3, L4

10.

Implementation of two stage Op-Amp

Colpitt Oscillator.

2 L1, L2, L3, L4

11. ADC using Flash Network

2 L1, L2, L3, L4

12-15

Mini/Minor Projects/

Seminar/ Case Studies

Cascode current mirror.

Gain Boosting in Op-Amp

Mathematical Model of VCO

Application of switched capacitors.

Mixed signal Layout issues.

8

L1

Total Hours 30

https://swayam.gov.in/nd1_noc19_ee38/preview

https://www.edx.org/course/essentials-of-mosfets

https://www.edx.org/course/essentials-of-mosfets






Course Name: Fiber Optic Communication Course Code: PEC-ETC6012




(100)

Practical/Oral

(25)

Term Work

(25)

Total

Theory Tutorial Practical Contact Hours

Credits IA ESE PR/OR TW

150

3 - 2@ 5 4 25 75 25

25





Prerequisite: Physics, Electromagnetic wave propagation, Electronics devices and circuits, Principles of communication

Course Objective:

The course intends to give the fundamental understanding of optical fiber communication, its transmission properties along with

optical link components, so that students can apply the knowledge to analyze an optical link. Lastly course will also give an

understanding of microwave photonics.

Course Outcomes:


SN Course Outcomes

Cognitive levels of attainment

as per Bloom’s Taxonomy

1 Illustrate light propagation in optical fibers based on fundamental characteristics of

fiber.

L1, L2, L3

2 Describe, compare and contrast the functions of passive and active optical

components.

L1, L2

3 Draw the structure and describe working of various optical sources and performance

parameters.

L1, L2, L3

4 Explain the transmission properties of optical fibers. L1, L2, L3

5 Explain working principles and characteristics of various optical detectors and

receivers and their noise analysis.

L1, L2, L3

6 Analyse the optical link based on optical link budgeting and describe microwave

photonics.

L1, L2, L3, L4

Detailed Syllabus:

Module

No.

Topics Hrs. Cognitive levels of

attainment as per

Bloom’s Taxonomy



1 Optical Fiber

Communication Gerd Keiser MGH

4th

2008

2 Optical Fiber

Communications John M. Senior Pearson Education 3rd 2007

3 Fiber Optics

Communications Harold Kolimbiris

Pearson/Prentice

Hall 3rd 2004

4 Fiber optic communication Joseph C Palais Pearson Education

5th

2005

5 An introduction to fiber

optics A. Ghatak and K.Thyagrajan Cambridge

University Pres 5th 2012

Online References:

Sr.

No.

Website Name URL Modules Covered

1 https://swayam.gov.in https://swayam.gov.in/nd1_noc19_ee67/preview M1,M2,M3,M4,M5,M6

2 https://nptel.ac.in https://nptel.ac.in/courses/117101054/ M1,M2,M3,M4,M5,M6

3 https://nptel.ac.in https://nptel.ac.in/noc/individual_course.php?id=noc17-ec07

M6

1 Optical Fiber and their properties 10

Historical development, general system, advantages, disadvantages, and

applications of optical fiber communication, optical fiber waveguides, Ray theory,

cylindrical fiber (no derivations), single mode fiber, cutoff wave length, and mode

filed diameter. Wave guiding principles, Theory of optical wave propagation, Types

and classification of optical fibers, loss and bandwidth.

L1, L2, L3

2 Fiber Optic Components 06

Fiber fabrication (VAD, MCVD), fiber joints, fiber connectors, splices Couplers,

multiplexers, filters, fiber gratings, Fabry Perot filters, switches and wavelength

converters, Optical amplifiers, basic applications and types, semiconductor optical

amplifiers, EDFA.

L1, L2

3 Optical Sources 06

Working principle and characteristics of sources (LED, LASER), Tunable lasers

Quantum well lasers, Charge capture in Quantum well lasers, Multi Quantum well

Laser diodes, Surface Emitting Lasers: Vertical cavity Surface Emitting Lasers.

L1, L2, L3

4 Transmission Characteristics of Optical Fiber 12

Attenuation, absorption, linear and nonlinear scattering losses, bending losses,

modal dispersion, waveguide dispersion, dispersion and pulse broadening,

dispersion shifted and dispersion flattened fibers. General Overview of

nonlinearities, Stimulated Raman Scattering, Stimulated Brillouin Scattering, Self-

Phase modulation, Cross –Phase modulation, four waves mixing and its mitigation,

Solitons. Measurements of attenuation, dispersion and OTDR

L1, L2, L3

5 Optical Detectors 06

Working principle and characteristics of detectors (PIN, APD), Noise analysis in

detectors, coherent and noncoherent detection, receiver structure, bit error rate of

optical receivers, and receiver performance.

L1, L2, L3

6 Optical Link 08

Introduction, point to point links, system considerations, link power budget, and

rise time budget. RF over fiber, key link parameters, Radio over fiber links,

microwave photonics.

L1, L2, L3, L4

Total 48



https://nptel.ac.in/noc/individual_course.php?id=noc17-ec07

https://nptel.ac.in/noc/individual_course.php?id=noc17-ec07





Course Name: Embedded Systems and RTOS Course Code: PEC-ETC6013




(100)

Practical/Oral

(25)

Term Work

(25)

Total



150

3 - 2@ 5 4 25 75 25

25





Prerequisite: Basic Knowledge of Microprocessor & Microcontroller, Basic knowledge of programming

Course Objectives:

The purpose of this undergraduate course is to provide the student with a high -level understanding of embedded systems and

real time operating systems with simulation tools for testing purpose and case studies .

Course Outcomes:

SN Course Outcomes Cognitive Levels

as per Blooms

Taxonomy

1 Understand fundamental embedded systems design paradigms, architectures, possibilities and challenges, both with respect to software and hardware

L1, L2

2 Analyse a system both as whole and in the included parts, to understand how these parts interact in the functionality and properties of the system

L1, L2, L3, L4

3 Apply gained theoretical knowledge in order to design, analyse and implement embedded systems, e.g. integrating embedded subsystems and applications

L1, L2, L3

4 Apply formal method, testing, verification, validation and simulation techniques and tools in order to engineer reliable and safe embedded systems

L1, L2, L3

5 Demonstrate a deeper understanding of the electronics and physical principles used for embedded measuring systems

L1, L2

Detailed Syllabus:

Module No.

Topics Hrs. Cognitive levels

as per Bloom’s

Taxonomy

1 Introduction to Embedded Systems: Characteristics and Design metrics of Embedded system, Challenges in Embedded system Design: Power, Speed and Code density

03

L1, L2

2

Embedded Hardware : Embedded cores, Types of memories, Sensors (Optical encoders, Resistive) and Actuators (Solenoid valves, Relay/switch, Opto-couplers), Power supply considerations in Embedded systems: Low power features, Idle & Power down mode, Sleep mode, Brown-out detection

Communication Interfaces: Comparative study of serial communication interfaces (RS-232, RS-485), I2C, CAN, USB (v2.0), Bluetooth, Zig-Bee. Selection criteria of above interfaces. (Frame formats of above protocols are not expected).

10

L1, L2, L3, L4

3

Embedded Software: Program Modelling concepts: DFG, FSM, UML, Embedded C-programming concepts (from Embedded system point of view): Data types, Modifiers, Qualifiers, Functions, Macros, Interrupt service routine, Device drivers.

10

L1, L2, L3

4

Real-time Operating system: Need of RTOS in Embedded system software, Hard-Soft Real-time systems, real time issues, interrupt latency, Foreground/Background processes, Interrupt latency, Task, Task states, Multi-tasking, Context switching, Task scheduling, Scheduling algorithms-Rate Monotonic Scheduling, Earliest Deadline First, Inter-process communication: Semaphore, Mailbox, Message queues, Event timers, Task synchronisation- Shared data, Priority inversion, Deadlock. Memory Management

Introduction to µCOS II RTOS: Study of Kernel structure of µCOS II, µCOS II functions for Initialisation, Task creation, Inter-task communication and Resource management, Memory management

08

L1, L2, L3

5

System Integration, Testing and Debugging Methodology: Embedded Product Design Life-Cycle (EDLC) Hardware-Software Co-design, Testing & Debugging: Boundary-scan/JTAG interface concepts, Black-Box testing, White-Box testing, Hardware emulation, Logic analyser.

08

L1, L2, L3, L4

6 Case Studies

Soft Real-time: Automatic Chocolate Vending machine using µCOS II RTOS- Requirements study, Specification study using UML, Hardware architecture, Software architecture

Hard Real-time: Car Cruise-Control using µCOS II RTOS- Requirements study, specification study using UML, Hardware architecture, Software Architecture

06

L1, L2, L3

Text & Reference Books:

S. No. Title Authors Publisher Edition Year

1 Embedded System

Design – A unified

hardware and software

introduction

F. Vahid Wiley India 2nd Edition 2002

2 Embedded Systems Rajkamal TMH - -

3 Embedded system design Steve Heath Elsevier - 2003

4 Real time UML, second

edition: Developing

efficient objects for

embedded systems

Bruce Powel Douglas Pearson

Education

3rd Edition 1999

5 Embedded

Microcomputer Systems

– Real Time Interfacing

Jonathan W. Valvano

Cengage Learning 3rd Edition -

6 An Embedded Software

Primer

David E. Simon Pearson

Education

- 2003

Online References

S.

No.


Covered

1 NPTEL https://onlinecourses.nptel.ac.in/noc20_cs14

M4- M6

2 NPTEL https://onlinecourses.nptel.ac.in/noc20_cs16 M1-M4

3 NPTEL https://nptel.ac.in/content/storage2/courses/108105063/pdf M1-M4

Suggested list of Practical/ Experiments:

Practical

Number

Type of

Experiment

Practical/ Experiment Topic Hrs

.

Cognitive Levels

as per Blooms

Taxonomy

1

Basic

Experiments

Study of ARM based microcontroller boards

(TEXAS Instruments, STM Electronics)

2

L1, L2, L3, L4

2 Embedded C-programming concepts

2

L1, L2, L3

3 Interfacing sensors using MSP430 or ARM

boards (Temperature measurement and

display)

2

L1, L2, L3, L4

4 Interfacing actuators using MSP430 or ARM boards

(speed control using PWM signal)

2

L1, L2, L3, L4

5 Interfacing actuators using MSP430 or ARM boards

(Automatic room temperature control system)

2 L1, L2, L3, L4

6 Design and implementation of FSM 2

L1, L2, L3, L4

7

Design

Experiments

Real time operation system - implement multi-

tasking capabilities of RTOS using µCOS II

2

L1, L2, L3, L4

8 Real time operation system - implement stack

checking feature of RTOS using µCOS II

2 L1, L2, L3, L4

9 Implementing Client server communication

using Raspberry PI

2 L1, L2, L3, L4

10 Advan

ced

Experi

ments

Porting Real Time Operating System on new

hardware

2 L1, L2, L3, L4

11 - 13

Mini/Minor

Projects/

Seminar/

Case Studies

Suggested but not limited to these only-

1. Smart water management system

2. Smart streetlight, Smart parking

3. Remote tracking of vehicles

4. Fingerprint based attendance

systems for institutes

5. Automatic water dispenser system

6. Automatic passport verification system

for airports

6

L1, L2, L3, L4

https://onlinecourses.nptel.ac.in/noc20_cs14

https://onlinecourses.nptel.ac.in/noc20_cs16

https://nptel.ac.in/content/storage2/courses/108105063/pdf

14 - 15 Group

Presentation

/ Case studies

Suggested but not limited to these only-

1. Case study on soft real time systems

2. Case study on hard real time systems

3. Group presentations on latest

developments in the field of embedded

systems

4. Ubiquitous computing

5. IOT to improve healthcare

4

L1, L2, L3, L4

Total 30Hrs





Course Name: Electromagnetic Interference and Compatibility Course Code: PEC-ETC6014




(100)

Practical/Oral

(25)

Term Work

(25)

Total



150

3 - 2@ 5 4 25 75 25

25





Prerequisite: Electromagnetic Engineering

Course Objective: The course objective is to understand basics of EMI/EMC along with knowledge on the

EMI coupling mechanism and its mitigation techniques. It also imparts comprehensive insight about the

current EMC standards and about various measurement techniques

Course Outcomes: Upon completion of the course, students will be able to:

SN

Course Outcomes

Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Identify the various types and mechanisms of Electromagnetic Interference

L1, L2, L4

2 Explain different coupling mechanism. L1, L2, L3

3 Propose a suitable EMI mitigation technique L1, L2, L4

4 Propose solution to EMI Sources, EMI problems in PCB level / Subsystem and system level design.

L1, L2, L3,

L4,L5

5 Describe the various EMC Standards and methods to measure them L1, L2, L3

Detailed Syllabus:

Module

No

Topics

Hrs

Cognitive

levels of

attainment as

per Bloom’s

Taxonomy

1

EMI/EMC Concepts

08

L1, L2, L4

Introduction to EMI and EMC, Intra and inter system EMI, Elements of

Interference, Sources and Victims of EMI, Conducted and Radiated EMI

emission and susceptibility, Case Histories, Radiation hazards to

humans, Various issues of EMC, EMC Testing categories, EMC

Engineering Application.

COUPLING MECHANISM

2

Electromagnetic field sources and Coupling paths, Coupling via the

supply network, Common mode coupling, Differential mode coupling,

Impedance coupling, Inductive and Capacitive coupling, Radiative

coupling, Ground loop coupling, Cable related emissions and coupling,

Transient sources, Automotive transients.

10

L1, L2, L3

3

EMI MITIGATION TECHNIQUES

10

L1, L2, L4

Working principle of Shielding and Murphy’s Law, LF Magnetic

shielding, Apertures and shielding effectiveness, Choice of Materials for

H, E, and free space fields, Gasketting and sealing, PCB Level shielding,

Principle of Grounding, Isolated grounds, Grounding strategies for Large

systems, Grounding for mixed signal systems, Filter types and operation,

Surge protection devices, Transient protection.

4

EMC DESIGN FOR CIRCUITS AND PCBS

09

L1, L2, L3, L4

Noise from Relays and Switches; Nonlinearities in Circuits; Cross talk in

transmission line and cross talk control; Component selection and

mounting; PCB trace impedance; Routing; Power distribution

decoupling; Zoning; Grounding; VIAs; Terminations.

5

EMI MEASUREMENTS AND STANDARDS

08

L1, L2, L3, L4 Open area test site; TEM cell; EMI test shielded chamber and shielded

ferrite lined anechoic chamber; Line impedance stabilization networks;

EMI Rx and spectrum analyzer; Civilian standards – CISPR, FCC, IEC,

EN; Military standards-MIL461E/462. Total Hours 45



1 Introduction to Electromagnetic compatibility

Clayton R.Paul Wiley & Sons

1992

2 Noise reduction techniques in electronic systems

Henry W.Ott John Wiley & Sons

1989

3 Engineering Electromagnetic Compatibility Systems

V Prasad Kodali Michel Bousquet Wakerly J.F.

IEEE Press, Newyork

2001

4 The Electromagnetic Compatibility Handbook

Dr Kenneth L Kaiser CRC Press 2005

5 Principles of Electromagnetic Compatibility

Bemhard Keiser Artech house, Norwood

3rd Edition

1986





Course Name: Speech & Audio Processing Course Code: PEC-ETC6015




(100)

Practical/Oral

(25)

Term Work

(25)

Total



150

3 - 2@ 5 4 25 75 25

25





Prerequisite: Signals & Systems, Discrete Time Signal Processing

Course Objective:

The objective is to deliver the fundamental understanding of speech signal and its analysis, representation and

modeling. The course also aims to provide a foundation for developing applications in this field.

Course Outcomes: Students will be able to

Sr.

No. Course Outcomes

Cognitive levels as

per Bloom’s

Taxonomy

1 Demonstrate knowledge of algorithms related to signal processing L1, L2

2 Demonstrate knowledge of processing speech and audio signals

considering the properties of acoustic signals and human hearing. L1, L2

3 Demonstrate knowledge in digital model representation of speech signal. L1, L2

4 Analyze speech signal to extract the characteristic of vocal tract (formants)

and vocal cords (pitch). L1, L2, L3

5 Analyze speech signal to extract the characteristic of vocal tract in

frequency domain using STFT L1, L2, L3

6

Demonstrate knowledge of predictive coding of speech, audio processing

for Musical applications, speech recognition and Artificial Neural

Networks.

L1, L2

Detailed Syllabus:

Module

No. Topics Hrs.

Cognitive

levels as per

Bloom’s

Taxonomy

1

Speech Production:

6 L1, L2 Speech production and acoustic tube modeling, acoustic phonetics,

anatomy, and physiology of the vocal tract and ear, hearing and

perception.

2 Time Domain Models for Speech Processing 6 L1, L2


Sr.

No.

Title Authors Publisher Edition Year

1 Digital processing of

speech signals

L R Rabiner and S W

Schafer

Pearson

Education 1st 2009

2 Fundamentals of

Speech Recognition

L R Rabiner, B H Juang,

B Yegnanarayana

Pearson

Education 1st 2008

3 Discrete Time Speech

Signal Processing Thomas F Quateri,

Pearson

Education 1st 2006

4 Speech&AudioSignal

Processing Ben Gold and Nelson

Morgan Wiley 1st 2007

5

Speech

Communications Douglas O Shaughnessy

Oxford

University

press

2nd 2000

Time domain parameters of Speech signal – Methods for extracting the

parameters: Energy, Average Magnitude – Zero crossing Rate – Silence

Discrimination using ZCR and energy

3

Frequency Domain Models for Speech Processing

7 L1, L2

Short Time Fourier analysis – Formant extraction – Pitch Extraction

using time and frequency domain methods Homomorphic Speech

Analysis: Cepstral analysis of Speech – Formant and Pitch Estimation

–Homomorphic Vocoders

4

PREDICTIVE ANALYSIS OF SPEECH

10 L1, L2, L3

Formulation of Linear Prediction problem in Time Domain – Basic

Principle – Auto correlation method– Covariance method – Solution of

LPC equations – Cholesky method – Durbin’s Recursive algorithm

– lattice formation and solutions – Comparison of different methods –

Application of LPC parameters– Pitch detection using LPC parameters

– Formant analysis – VELP – CELP

5

AUDIO CODING AND TRANSFORM CODERS

10 L1, L2, L3

Lossless Audio Coding – Lossy Audio Coding - ISO-MPEG-1A, 2A,

2A-Advaned, 4A Audio Coding - Optimum Coding in the Frequency

Domain - Perceptual Transform Coder –Brandenburg - Johnston

Hybrid Coder - CNET Coders - Adaptive Spectral Entropy Coding –

Differential Perceptual Audio Coder - DFT Noise Substitution -DCT

with Vector Quantization -MDCT with Vector Quantization

6

Speech and Audio Processing

6 L1, L2

Vocoder- Voice excited channel vocoder, Voice excited and error

signal excited LPC vocoders. Adaptive predictive coding of speech,

Auditory Modeling. Audio signal processing for Music applications.

Speech recognition pattern comparison techniques, Artificial Neural

Network.

Total Hours 45

Online References:

S.

No.


Covered

1 http://vlab.amrita.edu/ http://vlab.amrita.edu/index.php?sub=59&brch=164 M3-M5

2 https://swayam.gov.in https://swayam.gov.in/nd1_noc19_ee53/preview M6

Suggested List of Practical/Experiment:

Practical

Number

Type of

Experiment/Tutorial Practical/ Tutorial Topic Hrs.

Cognitive

levels as per

Bloom’s

Taxonomy

1

Basic Experiments/

Tutorials

Non-stationary nature of speech signals 2 L1, L2, L3

2 Pitch Estimation in time domain 2 L1, L2, L3

3 Estimation of ZCR 2 L1, L2, L3

4 Estimation of pitch in Frequency domain 2 L1, L2

5 Estimation of pitch in cepstral domain 2 L1, L2, L3

6 Estimation of formants in cepstral

domain 2 L1, L2, L3

7 Estimation of formants using Log

Spectrum 2 L1, L2, L3

8 Compression of Audio Signals 2 L1, L2, L3

9 Design/Advanced

Experiments

Calculation of MFCC Coefficients 2 L1, L2, L3, L4

10 Synthesis of vowel sequences using

formants 2

L1, L2, L3, L4,

L5, L6

13 & 14

Mini/Minor

Projects/ Seminar/

Case Studies

1. Case study on Predictive coding of

speech

2. Case study on feature extraction

techniques in Speech

3. Case study on Speech Recognition 4. Case Study on Text to Speech

Conversion 5. Implementation of Speech

Recognition

6 L1, L2, L3, L4,

L5

Total 30

http://vlab.amrita.edu/index.php?sub=59&brch=164

http://vlab.amrita.edu/index.php?sub=59&brch=164

https://swayam.gov.in/





B.E. (Electronics & Telecommunication Engineering) SEM: VI

Course Name: Digital Marketing Course Code: OEC-ETC6011




(100)

Practical/Oral

(25)

Term Work

(25)

Total


Hours


100

3 - - 3 3 25 75 -

-

IA: In-Semester Assessment- Paper Duration – 1.5 Hours

ESE: End Semester Examination- Paper Duration - 3 Hours

Prerequisite: Marketing Fundamentals, Digital Assets, Digital System Setup and automation

Course Objective: The course will transform you into a complete digital marketer with expertise in the top eight digital marketing

domains — search engine optimization, social media, pay-per-click, conversion optimization, digital analytics, content, mobile, and

email marketing. Fast-track your career in digital marketing today with practical training you can apply on the job.


Sr.

No.

Course Outcomes Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Understand Digital Business Models L1,L2

2 Understand A.I. and machine learning terminologies, mind-set and its application

in marketing

L1,L2

3 Build sophisticated machine learning models – learn how to gather and clean

data, select an algorithm, train, evaluate and deploy a model

L1,L2

4 Predict churn, sales or score leads with tools L1,L2,L5

5 Segment customers; build clustering models to drive personalization. L1,L2,L5,L6

6 Build computer vision models for social visual listening, use natural language

processing to predict consumption preferences.

L2,L5

Detailed Syllabus:

Module

No.


of attainment as

per Bloom’s

Taxonomy

1 Introduction - Digital Marketing 7 L1,L2

Digital Marketing Skills empowered by AI :SEO, Search Engine

Marketing, Social Media Marketing, Web Analytics, Email

Marketing, Content Marketing, Influencer Marketing, Conversion

Rate Optimization, Tools Based Marketing, Lifecycle Marketing

Automation.

2 Full Funnel Marketing 8 L1,L2,L3

Acquisition: Content marketing, landing page testing, campaign


Sr. No Title Authors Publisher Edition Year

1 Artificial intelligence marketing and

predicting consumer choice: an

overview of tools and techniques

Struhl, S. Kogan Page

Publishers

Third 2017

2 AI for Marketing and Product

Innovation: Powerful New Tools for

Predicting Trends, Connecting with

Customers, and Closing Sales.

Appel, A., Sthan

unathan, S., Pra

deep, A. K.

Wiley. Third 2018

3 Artificial intelligence for marketing:

practical applications

Sterne, J. John Wiley &

Sons

Fourth 2017..

optimization, conversion rate optimization, lead scoring, competition

and trend analysis, predict sales, optimize product pricing,

programmatic media buying, segmentation and clustering for

targeting, personalization.

Activation

Personalization, psychographic

segmentation, behavioral segmentation

Retention

Predict churn, customer care chatbot, sentiment analysis, visual social

listening, personalization

Revenue

Predict and maximize customer lifetime value, recommender systems,

market basket analysis

Referral

Predict whether user recommend your product

3 Marketing framework and tools 8 L1,L2,L3,L5

Planning: HubSpot, Bright edge, Node, Crayon, Equals3,

Marketmuse, Pathmatics, Calibermind, Alegion, Netra

Production: Acrolinx, Narrative Science, Clarifai, GumGum, phrasee,

curate Attention insight

Personalization: Uberflip, Klevu, Seventh Sense, Blueshift,

Promotion: Yext, Albert, Onespot, Cortex, Siftrock, inPowered,

Performance: Monkeylearn, PaveAI,

4

Predictive Analytics 7 L1,L2,L3,L5

Fundamentals of predictive analytics,

Prediction model for lead scoring and sales forecasting, churn

prediction model,

Predictive modelling for customer behavior, automated segmentation

5

Psychographics, NLP and Computer Vision 7 L1,L2,L3,L5

Customer psychographics, leveraging personality traits to predict

consumption preferences using NLP, detect emotions, assign labels,

understand text from images, detect news events, logos using

Computer Vision

6 Futuristic Marketing 8 L2,L3

IoTs Augmented Reality, Virtual Reality and XR for Marketing,

Blockchain and smart contracts for marketing, NeuroMarketing,

Wearable Tech, Personal Chatbots

Total Hours 45

4 Using Artificial Intelligence in

Marketing: How to harness AI and

maintain the competitive edge.

King, K. Kogan Page

Publishers

First 2019

Online References:

Sr.

No.

Website Name URL Modules Covered

1 https://www.iimcal.ac.in/

https://iimcal.talentsprint.com/ai-powered-marketing/index.html?

M1,M2,M3,M4,M5,M6

2 https://www.coursera.org/

https://www.coursera.org/learn/uva-darden-market-analytics

M4,M5,M6







Course Name: Software Process Automation Course Code: OEC-ETC6012




(100)

Practical/Oral

(25)

Term Work

(25)

Total


Hours


100 3 - - 3 3 25 75 - -

IA: In-Semester Assessment - Paper Duration – 1.5 Hour


The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion of practical

(40%) and Attendance / Learning Attitude (20%)

Prerequisite: Object Oriented Programming, Frontend Backend connectivity

Course Objective: The objective of the course is to introduce to the students about the integration people involved in the software process wit h

the development and tools required for automation of the project development.


SN Course Outcomes Cognitive levels of

attainment as per Bloom’s

Taxonomy

1 Understand the importance of process automation and models

of software process

L1, L2

2 Analyze the security and configuration management L1, L2, L3,L4

3 Understand and apply the build concepts using a build tool L1, L2, L3,L4

4 Understand the testing concepts and apply them to the project L1, L2, L3,L4

5 Identify the activities in agile project management and use a

tool for the same

L1, L2, L3,L4

6 Understand and identify the various principles of quality

assurance

L1, L2, L3,L4

Detailed Syllabus:

Modul

e No.


of attainment as

per Bloom’s

Taxonomy

1 Introduction to process Automation

6

L1, L2,L3

Importance of process automation, types of models, prescriptive and

descriptive models, Devops model, process modelling objectives and goals

2 Automation of config management

8

L1, L2, L3,L4

overview of configuration management, Github and git tool

3 Build automation L1, L2, L3,L4


Title Authors Publisher Edition Year

1 The DevOps handbook Gene Kim, Jez Humble, Ptrik

Debois & John Willis

IT revolution

Press

first

Edition

2016

2 Selenium WebDriver 3

Practical Guide: End-to-

end Automation Testing

for Web and Mobile

Browsers with Selenium

WebDriver

Satya Avasarala Packt

Publishing Ltd

Second

Edition

2018

Online Resources:

S.

No.

Website Name /URL Modules Covered

1 Researchgate https://www.researchgate.net/publication/258865356_So

ftware_Process_Definition_and_Management

M6

Overview of build management, Jenkins tool for build management

4

4 Test automation 8 L1, L2, L3

Overview of testing concepts, test cases, selenium tool

5 Project management 8 L1, L2, L3,L4

Project management concepts, agile team, Atlasian jira project

management tool

6 Quality management 11 L1, L2, L3,L4

Quality concepts and metrics, CMMI, ISO, spice, six sigma, Total Quality

management

Total Hours 45





Course Name: Essence of Traditional Indian Knowledge Course Code: MC-ETC601




(100)

Presentation

(25)

Term

work

(25)

Total


Hours

Credits IA ESE AC AC

25 1 -- -- 1 Non

credit

-- -- -- 25

AC- Activity Evaluation

Total weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely

Completion of Practical (40%) and Attendance/ Learning Attitude (20%)

Prerequisite: History, Value Education, Moral Science

Course Objective: The course aims at imparting basic principles of thought process, reasoning and inferencing with

focus on sustainability as the core of Indian Traditional knowledge Systems connecting society and nature. It also

focuses on Holistic life style of yogic science and wisdom important in modern society with rapid technological

advancements and societal disruptions with an introduction to Indian Knowledge Systems, Indian philosophical

traditions, Indian perspective of modern scientific world-view, and basic principles of Yoga and holistic health care

system.

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

Detailed Syllabus:

S.No. Course Outcomes Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Develop knowledge of trade and commerce in classical and medieval India. L1, L2

2 Correlate the understanding of Indian Knowledge System with modern

Science.

L1, L2, L3

3 Develop the knowledge of Ancient Indian science and technology and

India’s contribution to the world. L1, L2

4 Know and analyse the effects of colonization on Indian culture and

civilization.

L1, L2, L3,L4

5 Understand the role and position of women in traditional and modern Indian

society

L1, L2

6 Develop the knowledge of Globalization and growth of India Economy since

Independence.

L1, L2, L3, L4

Modu

le No.

Topics Hrs

.

Cognitive levels

of

attainment as

per

Bloom’s

Taxonomy

1 Introduction

2

L1, L2

Ancient India –-– Classical India – Dharma as the bedrock of Indian society –

Trade and commerce in classical and medieval India and the story of Indian

supremacy in the Indian ocean region;

2 Basic structure of Indian Knowledge System

3

L1, L2

The vedas, the vedic society and the Sanatana Dharma, classical sanskrit

literature –

Modern Science and Indian Knowledge System -Yoga and Holistic Health

care

Indian Philosophy – the orthodox (Vaidika) and the heterodox (atheistic)

schools; Ramayana and Mahabharata; Bhagavad Gita;

3 India’s contribution to the world: spirituality, philosophy and

Sciences

2

L1, L2, L3

Saints and sages of India; Ancient Indian medicine: towards an

unbiased perspective; Ancient Indian mathematics; Ancient Indian astronomy;

Ancient Indian science and technology.

4 Indian economy – before and after colonization:

3

L1, L2, L3

What attracted the rest of the world to India? India on the eve of the arrival of

European merchants; The story of colonization and the havoc it wrecked on

Indian culture and civilization; Macaulay and the start of the distortion of Indian

education and history; a brief survey;

The emergence of modern India.

5 Women in Indian society

3

L1, L2, L3

The role and position of women in Hindu civilization; Gleanings from the

Vedas, Brihadarnyaka Upanishad, Saptasati Devi Mahatmyam, Ramayana,

Mahabharata, Manusmriti, Kautilya’s Arthasastra and

Mrichchhakatikam of Sudraka; The role and position of Indian women.

6 Modern India

2

L1, L2,L3

The national movement for freedom and social emancipation; Swami

Vivekananda, Sri Aurobindo, Rabindranath Tagore; Understanding Mahatma

Gandhi; A new nation is born as a republic – the pangs of birth and growth; India

since Independence – the saga of socio- political movements; Problems facing

the nation today; Globalization

and Indian Economy; Bharatavarsha today and the way ahead: Regeneration of

Indian National Resources.

Total Hrs. 15





Course Name: Professional Skills VI (R Programming) Course Code: HSD-ETCPS601

Teaching scheme (Holistic Student Development -

HSD) (Conducted in the beginning of Semester

during first 3 Weeks)

Examination Scheme (Formative/Summative)


Hours Per Week Presentation Report Total


Hours

Credit AC AC

75

15 - 30 45 2 50 25

AC- Activity Evaluation

The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion

of practical (40%) and Attendance/Learning Attitude (20%)

Prerequisite: Basics Programming Knowledge

Course Objective: The objective of the course is to give an understanding the basics of R Programming and apply R for various Statistical and Machine Learning Applications. Course Outcomes: Upon completion of the course, students will be able to:

S.N. Course

Outcomes

Cognitive level

attainment as per

revised Bloom’s

Taxonomy

1 Understand different features of R and its applications L1, L2

2 Execute various Operation sin R using different Datatypes L1, L2, L3, L4

3 Create programs in R involving Conditional Statements & Loops L1, L2, L3, L4

4 Use Strings & Functions in R Programming L1, L2, L3, L4, L5

5 Understand the concept of List & Vectors in R. L1, L2, L3, L4

6 Visualize data through various Pie charts, Bar graphs, Box Plots and Histograms L1, L2, L3, L4, L5

Detailed Syllabus:

Module

No.

Topics Hrs

.

RBT Levels

1 Introduction to R Programming 2 L1, L2

Evolution of R, Features of R, R Studio, R Command Prompt, Comments,

Basic Syntax, R scripts, Applications of R

2 Datatypes & Operators in R

3

L1, L2, L3, L4

Numeric, Integer, Complex, Logical, Character, Operators used in R,

Arithmetic Operator: Subtract, Multiply, Divide, Modulus, Relational

Operator: Greater than, Less than, Equals, Less than or equals, Greater than or

equals, Not equals, Logical Operators: AND, OR , NOT, Assignment Operator

Books & References:


1 R for Data Science Garrett Grolemund,

Hadley Wickham

O'Reilly Media, Inc.

I 2016

2 Advanced R Hadley Wickham

CRC Press

I 2018

3 Introduction to

Statistical Learning

Gareth James, Daniela

Witten, Trevor Hastie, and

Robert Tibshirani

Springer III 2018

Online References:

3 Conditional Statements & Loops in R 3 L1, L2, L3, L4

Types of Flow Control in R, If Statement, If else Statement, Switch

Statement, Loops: Repeat Loop, While Loop, For Loop

4 Strings, Functions & Lists in R

3

L1, L2, L3,

L4, L5

Function Definition, Function Components, Built-in Functions, User defined

function, calling a Function, Rules applied in String Construction, String

Manipulation, creating a list, Naming List Elements, Accessing List Element,

Manipulating List Elements, Merging Lists

5 Vectors, Matrices & Arrays in R

2

L1, L2, L3, L4

Vector Creation, Accessing Vector Elements, Vector Manipulation,

Accessing Elements of Matrix, Matrix Computation, Naming Columns and

Rows, Accessing Array Elements, Manipulating Array Elements

6 Data Visualization

2

L1, L2, L3,

L4, L5

R Data Visualization, R Pie Charts, R Bar Charts, R Boxplot, R Histogram, R

Line Graphs, R Scatterplots

S. No. Website Name URL Modules

Covered

1 Tutorial Point https://www.tutorialspoint.com M1-M6

2 Data Camp www.datacamp.com M1-M3, M6

3 R Studio www.rstudio.com M1-M4

http://www.tutorialspoint.com/





Course Name: Project Based Learning IV Course Code: HSD-ETCPBL 601

Teaching scheme (Holistic Student Development - HSD)

(Conducted in the beginning of Semester during first 3

Weeks)

Examination Scheme (Formative/ Summative)


Teaching scheme (Holistic and Multidisciplinary

Education - HME)

(Conducted in the beginning of the semester during first 3

weeks)


Theory Tutorial Practical Contact Hours Credits AC AC

25 - - 30 30 1

25

-

AC: Activity Evaluation The weightage of marks for continuous evaluation of Term work/Report: Formative (40%),

Timely completion of practical (40%) and Attendance/Learning Attitude (20%)

Prerequisite: Electronic Devices and Circuits, Digital Electronics, Computer Programming, Microprocessor

Course Objectives:

The course intends to develop the ability to integrate knowledge and skills from various areas through more

complex and multidisciplinary projects. The course also aims to build 21st century success skills such as

critical thinking, problem solving, communication, collaboration, and creativity/innovation.

Course Outcomes:


Sr.

No.

Course outcomes Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Think divergently to solve real time problem through project management and

with knowledge of different domains to implement a unique solution. L1, L2, L3, L4, L5, L6

A) Guidelines:

1. Project Topic: To proceed with the project work it is very important to select a right topic.

Project topics can be undertaken based on the learnings from:

1) Professional Skill V (Industry Skills/Research Skills))

2) Employability Skill Development III

3) Multidisciplinary projects in any domain of electronics and telecommunication program.

Department has six domains namely

i) Electronic Devices and Modeling

ii) Communications Engineering

iii) Antenna and Microwave Engineering

iv) Signal processing

v) Information Technology and

vi) Embedded System.

2. Student must consult internal guide in selection of topic.

3. Project work must be carried out by a group of at least two students and maximum four.

Students can continue their previous projects and can add new dimension to it.

4. Students should carry out project work every week according to time table and report to the

internal guide regarding the progress of the project.

5. Internal guide has to keep track on the progress of the project and also has to maintain

attendance report. This progress report can be used for awarding the term work marks.

6. At the end of the term students should demonstrate the working of the project with the help of

a working model.

B) Proposed Presentation Format:

At the end of semester, a project presentation can preferably contain following details.

1. Abstract

2. Introduction

3. Literature Survey a) Survey Existing system b) Limitation of the Existing system or research gap

c) Problem Statement and Objective) Scope

4. Proposed System a) Analysis/Framework/ Algorithm b) Details of Hardware & Software c)

Design details d) Methodology (your approach to solve the problem)

5. Results/Output (photograph of working model)

6. Conclusion

7. Reference

C) Term Work: Distribution of marks for term work shall be as follows:

a) Weekly Attendance as per time table

b) Contribution in the Project work

c) Project Report

d) Term End Presentation

D) Oral & demonstration: Oral & Practical examination of Project should be conducted by Internal and External examiners.





Course Name: Research Based Learning-II Course Code: HSD-ETCRBL601

Teaching scheme (Holistic Student Development -

HSD) (Conducted in the beginning of Semester

during first 3 Weeks)

Examination Scheme (Formative/ Summative)



(100)



Hours

Credits IA ESE AC AC

50

- - 30 30 1 - - 25

25

AC: Activity Evaluation

The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely

completion of practical (40%) and Attendance/Learning Attitude (20%)

Prerequisite: Subject knowledge, Domain knowledge.

Course Objectives: This course is focused to engage the learner in research using critical thinking, problem

solving, coding and technical writing related to upcoming latest technologies.


Sr.

No.

Course Outcome Cognitive level

attainment as per

revised Bloom

Taxonomy

1 Upgrade the knowledge of latest technologies and developments in their

domain.

L1, L2

2 Develop prototype based on idea which providing solutions to industry,

research organization, academic organization, community or society as a

whole.

L1, L2, L3,L4,l5,L6

3 Design and develop the code /model for given problem definition in a

competitive environment and contribute for grants.

L1, L2, L3,L4,l5,L6

4 Write a research paper and understand technical writing. L1, L2, L3,L4,l5

Detailed Syllabus:

Module

No.

Topics Cognitive level

attainment as

per revised

Bloom

Taxonomy

1 Participation in online community/Forums/writing Blogs L1, L2

I. Registration on online community/forum/follow blogs /Twitter etc.

Creating own Blogs and LinkedIn profile.

Misevaluation is based on report submission on activities learned through

registration on various platforms. Submission of LinkedIn profile address,

Blog URL by Students is recommended.

Presentation and Evaluation

2 Prototype development/ Mathematical model development based on

Idea

L1, L2,

L3,L4,l5,L6

I. Prototype development: Introduction to Research Methodology

techniques. Introduction and importance of prototype development.

Transforming Idea into prototype with implementation/working model.

II. Presentations by students, Experience sharing by entrepreneurs or

Hackathon Winners.


3 Building Competitive Attitude L1, L2,

L3,L4,l5,L6 I. Participation in Project competitions/Coding competitions/Working

for research grant/Consultancy:

a) Participating at institute/National level/University level/ Conference

/participate in competitions.

b) Participation in funded project/consultancy projects

c) Experience sharing by good coders/winners

II. Evaluation based on Presentation/Certificates/Grant

received/Consultancy received.


4 Research Paper Publication L1, L2,

L3,L4,L5,L6 I. Introduction to Research paper writing: Write a paper/case study

considering review of literature based on idea and developed prototype.

II. Publishing: Identification of appropriate journal or conference at

University level/State level/National level for submission and Preparation

of a review paper.

Evaluation of Research paper based on quality and acceptance of

research paper.


Sr. No. Title Authors Publisher Edition Year

1 Guide to Competitive Programming:

Learning and Improving Algorithms

Through Contests

Antti

Laaksonen

Springer Kindle 2018

2 Writing Research Papers: A

Complete Guide

James D. Lester Longman 10th 2001

3 Creativity in Product Innovation

Jacob

Goldenberg

Cambridge

University

Press

Kindle 2002

Online References:

Sr. No. Website Name URL Modules

Covered

1 https://www.researchgate.net https://www.researchgate.net/publication/2243729

98_Idea_Generation_Techniques_among_Creative

_Professionals

M2

2 https://discuss.codechef.com https://discuss.codechef.com/t/programming-

contest-detailed-syllabus-along-with-example-

problems/17791

M3

3 https://www.statpac.com https://www.statpac.com/online-software-

manual/Basic-Research-Concepts.htm

M4

4 https://www.slideshare.net https://www.slideshare.net/AsirJohnSamuel/1intro

duction-to-research-

methodology?next_slideshow=1

M4

https://discuss.codechef.com/t/programming-contest-detailed-syllabus-along-with-example-problems/17791



https://www.statpac.com/online-software-manual/Basic-Research-Concepts.htm

https://www.statpac.com/online-software-manual/Basic-Research-Concepts.htm

https://www.slideshare.net/AsirJohnSamuel/1introduction-to-research-methodology?next_slideshow=1



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