B.E. Semester-VII Choice Based Credit Grading Scheme with ... · The course intends to giveunderstating of the fundamentals of artificial neural networks and fuzzy logic. The course

B.E. Semester-VII

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

First and Second Year as per Model Curriculum and Third Year as per old UoM 2016 (Rev.)

Course Description

Teaching Scheme (Academic) Examination scheme(Academic)

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

Sr

.

N

o.

Course Code Course Title

Hours Per Week

Credits

Theory

Practical/Or

al/Presentati

on

Term

Work/Reports Total

Theory Tutorial Practical Contact

Hours IA SEE PR/OR TW

1

PCC-ETC701 Microwave Engineering 4 - 2 6 5 20 80 25 25 150

2 PCC-ETC702 Mobile Communication

System 4 - 2 6 5 20 80 25 25 150

3 PCC-ETC703 Optical Communication 4 - 2 6 5 20 80 25 25 150

4 PEC-ETCDLO

703X Department Level Optional

Course III 4 - 2 6 5 20 80 25 25 150

5 OEC-ETC702X

Institute Level Optional

Course I 3 - - 3 3 20 80 - - 100

6 ECL 701 Project I - - 6 6 3 - - 50 50 100

7 SI-ETC 701 Seminar/Workshop - - 2 2 - - - - - -

Total

19 - 16 35 26 Total marks (Academic) 800

Course Description Teaching scheme (Holistic Student Development - HSD) Evaluation Scheme(HSD)

1 HSD-ETCPS701

Professional Skills VII

(Industry Skills / Research

Skills Learning)

- - - - Audit

Non Scholastic Evaluation by Teacher Guardian and Institute will issue

certificate 2

HSD-

ETCPBL701

Project Based Learning VII - - - - Audit

3 HSD-

ETCABL701

Research Based Learning –

III/Online/ MOOCS - - - -

Audit

Total 35 26 Grand Total marks: 800

Course Code Department Level Optional Course III Course Code Institute Level Optional Course I

PEC-ETCDLO

7031 Neural Networks and Fuzzy Logic OECETC7021 Product Lifecycle Management

PEC-ETCDLO Big Data Analytics OECETC7022 Reliability Engineering

7032

PEC-ETCDLO

7033 Internet Communication Engineering OECETC7023

Management Information System

PEC-ETCDLO

7034 CMOS Mixed Signal VLSI OECETC7024

Design of Experiments

PEC-ETCDLO

7035 Embedded System OECETC7025

Operation Research

OECETC7026

Cyber Security and Laws

OECETC7027

Disaster Management and Mitigation Measures

OECETC7028

Energy Audit and Management

OECETC7029

Development Engineering

1.*Project week will be conducted during the semester and Internship/Professional Training shall be conducted between 21st and 25th week EVEN semester (2

to 4Weeks)

2. IA: In-Semester Assessment- ESE: End Semester Examination - PR: Practical - OR: Oral - TW: Term work

3. IA test is for 15 marks and ESE will be conducted 35 marks for courses of 2 hours theory.

B.E. Semester –VII Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)

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

Course Name: Microwave Engineering Course Code: PCC-

ETC701

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

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

Hours Per Week Theory Practical/Oral Term

Work Total


Hours

Credit IA ESE PR TW

150

4 - 2 6 5 20 80 25 25

IA : In-Semester Assessment - Paper Duration – 1 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: Electromagnetic Engineering, Antenna and Radio Wave Propagation, Communication

Engineering

Course Objective:

The course intends to give an understanding of Active and Passive devices. The course also aims to make the

students understand and apply design technique to impedance matching network using lumped components and

transmission lines. Lastly, the course will also deliver the fundamental understanding of Microwave

Measurements parameters.

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 Characterize devices at higher frequencies. L1, L2

2 Design and analyze microwave circuits. L1, L2, L3, L4

3 Design and analyze amplifiers and oscillators at

microwave frequencies

L1, L2, L3, L4, L5, L6

4 Demonstrate skills of planning, design and

deployment of microwave networks.

L1, L2, L3, L4

Detailed Syllabus:

Module

No. Topics Hrs.

Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1

Introduction to Microwaves

06 L1, L2, L3,

L4

1.1 Microwave Frequency Bands in Radio Spectrum,

Characteristics, Advantages and Applications of Microwaves.

1.2 Scattering parameters: Characteristics and Properties.

1.3 Strip lines, Microstrip lines and coupled lines: Analysis and

design.

2

Impedance matching &Waveguides

09 L1, L2, L3,

L4, L5, L6

2.1 Design of Impedance matching network using lumped and

distributed parameters.

2.2 Rectangular and circular waveguides: Construction, Working

and Mode analysis.

3

Passive Devices

05 L1

3.1 Resonators, Re-entrant cavities, Tees, Hybrid ring, Directional

couplers, Phase shifters, Terminations, Attenuators and Ferrite

devices such as Isolators, Gyrators, and Circulators.

4

Microwave Tubes

10

L1

4.1 Two Cavity Klystron, Multi-Cavity Klystron and Reflex

Klystron.

4.2 Helix Travelling Wave Tube and Cross Field Amplifier.

4.3 Backward Wave Oscillator, Cylindrical Magnetron and

Gyrotron.

5

Microwave Semiconductor Devices& Microwave Integrated

Circuits(MIC)

13 L1

5.1 Diodes: Varactor, PIN, Tunnel, Point Contact, Schottky Barrier,

Gunn, IMPATT, TRAPATT, and BARITT.

5.2 Transistors: BJT, Hetro junction BJT, MESFET, and HEMT

5.3 Parametric Amplifiers and Applications.

5.4 MIC Materials.

5.5 Types of MIC: Hybrid and Monolithic MIC.

5.6 Chip Mathematics.

6

Microwave Measurements

05 L1 6.1 VSWR, Frequency, Power, Noise, Q-Factor, Impedance,

Attenuation, Dielectric Constant, Antenna Gain.

Total 48

Books & References:

SN Title Authors Publisher Edition Year

1 Microwave Devices

and Circuits Samuel Liao Prentice Hall Third Edition

1998

2 Microwave

Engineering David Pozar

McGraw Hill

Education

Fourth

Edition 2014

3

Radio Frequency and

Microwave

Electronics

Matthew M. Radmanesh Pearson

Education. Third Edition

2000

4 Microwave

Engineering

Annapurna Das and S. K

Das

McGraw Hill

Education

Second

Edition 2017

5

Foundations of

Microwave

Engineering

R. Collin Wiley Interscience Second

Edition 2003

6

Radio Frequency and

Microwave

Communication

Circuits- Analysis and

Design

DevendraMisra John Wiley & Sons Second

Edition 2001

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

Introduction to Different Components and

Equipments used in the Laboratory. 2 L1

2

Measurement of S-parameters of two-port

network. (Using Network

analyzer/Simulation) 2 L1, L2, L3, L4

3 Analysis of Attenuator using microwave

bench. 2 L1, L2, L3

4 Frequency and wavelength measurement

using test bench. 2 L1, L2, L3, L4

5 Measurement of VSWR using test bench. 2 L1, L2, L3, L4

6 Analysis of Magic Tee using test bench 2 L1

7 Analysis of Klystron tube using

microwave bench. 2 L1, L2, L3, L4

8 Design

Experiments

Design and analysis of various matching

networks using lumped parameters. (V-

Smith) 2

L1, L2, L3,

L4,L1, L2, L3,

L4

9

Design and analysis of various matching

networks using Stub. (V-Smith) 2

L1, L2, L3,

L4,L1, L2, L3,

L4

10 Advanced

Experiments

Simulation of microstrip lines using

SONNET Software 2 L1, L2, L3, L4

11 MSE of practical/oral 2 ---

12, 13,14

& 15

Mini/Minor

Projects/ Seminar/

Case Studies

1. Case study on Dielectric

Measurement

2. Case study on Reflectometer

3. Case study on Dielectric

Measurement

4. Training on ApCAD

5. Mini project on Directional coupler

8 L1, L2, L3, L4,

L5, L6

Online References:

S.

No. Website Name URL

Modules

Covered

1 Swayam https://swayam.gov.in/nd1_noc19_ee68/preview M1-M6

B.E. Semester –VII


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

Course Name :Mobile Communication Systems Course Code : PCC-ETC702

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



Work Total


Hours Credits IA ESE PR TW

150

4 _ 2 6 5 20 80 25 25

IA: In-Semester Assessment - Paper Duration – 1 Hour




Prerequisite: Analog Communication, Digital Communication, Computer Communication and Networks

Course Objective:

The course intends to give an understanding of multiple access techniques, cellular systems and analyze, apply

and evaluate the coverage and capacity of cellular systems. The course also aims to make the students understand

the system architecture and radio specifications of 2G, 2.5 G and 3G. Lastly, the course will also develop the

concepts of emerging technologies for 4 G standards and beyond.

Course Outcomes:


SN Course Outcomes Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Explain various multiple access techniques. Illustrate the cellular

fundamentals and estimate the coverage and capacity of cellular systems.

L1, L2, L3, L4

2 Illustrate the fundamentals, system architecture, protocols, radio interface

and security of GSM.

L1,L2

3 Explain the GSM evolution, IS-95system architecture and Radio Interface,

CDMA fundamentals and radio interface.

L1,L2

4 Apply the concepts of 3G technologies of UMTS and CDMA 2000 and

elaborate the principles of 3GPP LTE.

L1,L2

5 Identify the emerging technologies for upcoming mobile communication

systems, like MIMO, cognitive radio and relaying.

L1,L2

6 Classify different types of propagation models and analyze the link budget. L1, L1, L2, L3, L4

Detailed Syllabus:

Module

No. Topics Hrs.

Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1 Fundamentals of Mobile Communication 10

L1, L2, L3,

L4, L5

Introduction to wire1ess communication: Mobile radio telephony,

Examples of Wireless Communication Systems, Related design problems.

Features of all conventional multiple access techniques: Frequency

division multiple access(FDMA), time division multiple

access(TDMA),space spectrum multiple access (SSMA), space division

multiple access (SDMA),OFDM-PAPR,OFDMA

The Cellular Concept System Design Fundamentals: Frequency Reuse,

Channel Assignment Strategies, Interference and System Capacity,

Trunking and Grade of Service, Improving Coverage and Capacity in

Cellular Systems

2 2G Technologies 06

L1, L2

GSM: GSM Network architecture, GSM signaling protocol architecture,

identifiers used in GSM system, GSM channels, frame structure for GSM,

GSM speech coding, authentication and security in GSM, GSM call

procedures, GSM hand-off procedures, GSM services and features

3 GSM evolution and IS-95 04

L1, L2

GSM evolution: GPRS And EDGE- architecture, radio specifications,

channels.

IS-95: Architecture of CDMA system, CDMA air interface, power control

in CDMA system, power control, handoff, rake receiver

4 3G Technology 12

L1, L2, L3,

L4

UMTS: Objectives, standardization and releases, network architecture, air

interface specifications, channels, security procedure, W-CDMA air

interface, attributes of W-CDMA system, W-CDMA channels

Cdma2000 cellular technologies: Forward And Reverse Channels,

Handoff And Power Control.

3GPP LTE

Introduction, system overview: Frequency bands and spectrum flexibility,

network structure, protocol structure Physical layer: Frames, slots, and

symbols, modulation, coding, multiple-antenna techniques

Logical and Physical Channels, Physical layer procedures: Establishing a

connection, retransmissions and reliability, scheduling, power control,

handover.

5 Advanced techniques for 4G deployment 06 L1, L2

Books and References:


1 Wireless

communications -

principles and practice

Theodore S. Rappaport PEARSON Second

2010

2 Wireless

communications

T L Singal Mc Graw Hill

Education

Second 2010

3 Wireless

communications

Andreas F. Molisch WILEY

INDIA PVT

LTD

Second 2007

4 Wireless and Mobile

Communications

UpenaDalal Oxford

university

Press

Second 2010

5 Wireless

Communications and

Networking

Vijay K.Garg Morgan–

Kaufmann

series in

Networking-

Elsevier

Second 2010

Online References:

S. No. Website Name URL Modules Covered

1 nptel https://nptel.ac.in/courses/117102062/ M1- M3 and M6

2 nptel https://nptel.ac.in/courses/117104099/ M4, M5

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

To study the effect of cluster size N and

no. Of co channel interfering cells i0 on

signal to interference ratio. 2 L1, L2, L3, L4

2 Study the relation between cluster size N

and capacity C. 2 L1, L2, L3, L4

3

To observe the effect of velocity and

direction of arrival of a vehicle on

Doppler frequency.

2 L1, L2, L3, L4

Multi-antenna Techniques: Smart antennas, multiple input multiple output

systems, Cognitive radio: Architecture, spectrum sensing

Relaying multi-hop and cooperative communications: Principles of

relaying, fundamentals of relaying

6 Mobile Radio Propagation 10

L1, L2 Large scale fading: Free space propagation model, the three basic

propagation mechanisms, reflection, ground reflection (two-ray) model,

diffraction, scattering, practical Link budget design using path loss models

Small scale fading: Small scale multipath propagation, parameters of

mobile multipath channels, types of small-scale fading, Rayleigh and

Ricean distributions.

Total 48

4

Design

Experiments

To generate PN sequence for the given

polynomial. 2 L1, L2, L3, L4

5

Design of communication system using

Simulink to study the effect of Rayleigh

fading.

2 L1, L2, L3, L4

6 Design of communication system using

Simulink to study the effect of Rician

fading. 2 L1, L2, L3, L4

7

Tutorial

Tutorial 1 (3GPP and UMTS). 2 L1

8 Tutorial 2 (LTE). 2 L1

9 Advanced

Experiments

To plot channel capacity versus SNR for

different MIMO systems 2 L1, L2, L3, L4

10 Simulation of spectrum sensing using

energy detection method in cognitive

radio.

2 L1, L2, L3


12, 13,14

& 15

Mini/Minor

Projects/ Seminar/

Case Studies

1. Use of GSM board for

Communication.

2. Wireless Electronic Notice Board

Using GSM

3. Wireless Attendance Recorder

4. Mobile Communication Based

App development

5. Creating Virtual Lab

Experiments.

8 L1, L2, L3, L4,

L5, L6



B.E. ( Electronics and Telecommunication Engineering ) B.E. (SEM : VII)

Course Name :Optical Communication Course Code : PCC-ETC703



Hours Per Week Theory Practical/Oral Term Work Total



150

4 -- 2 6 5 20 80 25 25

IA: Internal Assessment - Paper Duration – 1 Hour




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 analyse an optical

link. Lastly course will also give an understanding of microwave photonics.

https://www.edgefxkits.com/wireless-electronic-notice-board-using-gsm

https://www.edgefxkits.com/wireless-electronic-notice-board-using-gsm

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 and their properties 10

Historical development, general system, advantages, disadvantages,

and applications of optical fiber communication, optical

fiberwaveguides, Ray theory, cylindrical fiber (no derivations),

singlemode 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, FabryPerot 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 welllasers, 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, dispersionand pulse

broadening, dispersion shifted and dispersion flattenedfibers. General

Overview of nonlinearities, Stimulated Raman Scattering, Stimulated

Brillouin Scattering,Self-Phasemodulation, Cross –Phase modulation,

Four wave 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 opticalreceivers, and receiver performance.

L1, L2, L3

6 Optical Link 08



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.i

n https://swayam.gov.in/nd1_noc19_ee67/preview M1,M2,M3,M4,M5,M

6

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

6

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

M6

Suggested List of Practical/Experiment:

Practical

Number


Cognitive levels

of attainment

as per Bloom’s

Taxonomy

1

Basic Experiments

To study Analog Optical Link and observe

the signals at various stages 2 L1,L2

2 To study and calculation of Numerical

aperture 2 L1, L2, L3

3

Design / Advanced

Experiments

To study and calculate link Loss for given

link and analyze link performance 2 L1, L2, L3, L4

4

To study performance Analysis of Optical

Link with Different Sources 2 L1, L2, L3, L4

5

To study performance Analysis of Optical

Link with Different Detectors 2 L1, L2, L3, L4

6 To study and plot responsivity curve of

photo detector 2 L1, L2, L3

7 To study performance Analysis of Optical

Amplifier 2 L1, L2, L3, L4

8 To study eye pattern 2 L1,L2

Introduction, Point to point links, system considerations, link

powerbudget, and rise time budget. RF over fiber, key link parameters,

Radio over fiber links, microwave photonics.

L1, L2, L3, L4

Total 48

https://swayam.gov.in/nd1_noc19_ee67/preview

https://nptel.ac.in/courses/117101054/

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

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

9 To study and calculation of dispersion for

given fiber 2 L1, L2, L3

10 Simulation of OFDMA system 2 L1, L2, L3

11,12,

13,14 &

15

Mini/Minor

Projects/ Seminar/

Case Studies

1. Design of Optical communication

system.

2. Simulation & BER calculation using

OPTSIM

3. Case study on Long Haul Optical Fiber

Transmission Network 4. Design of Optical Transmitter 5. Design of Optical Receiver

8 L1, L2, L3, L4,

L5, L6


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

Course Name :Neural Networks and Fuzzy Logic Course Code : PEC-ETCDLO7031




Work Total



150 4 - 2 6 5 20 80 25 25





Prerequisite: Basic Mathematics, Signal processing

Course Objective:

The course intends to giveunderstating of the fundamentals of artificial neural networks and fuzzy logic. The

course provides the students a platform to learn, compare and apply different artificial neural networks and

fuzzy logic and their applicability in the real world.

Course Outcomes:


SN Course Outcomes

Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Compareneural networks and their training algorithm.

L1

2 Applydifferent supervised neural networksperformance.

L1, L2, L3, L4

3 Applydifferent unsupervised neural networksperformance.

L1, L2, L3, L4

4 Apply Fuzzy logic, Fuzzy Sets, fuzzy rules and Fuzzy reasoning and Fuzzy

logic inference system

L1, L2, L3, L4

5 Make use ofneural networks for specified problem domain. L1, L2, L3, L4

6 Experiment with Fuzzy logic and Fuzzy Systems for solving real world

problems.

L1, L2, L3, L4

Detailed Syllabus:



1 Introduction to Soft

computing

S. N. Sivanandam and S.

N. Deepa

Wiley India

Publications

2nd Edition 2011

Module

No. Topics Hrs.

Cognitive

levels of

attainment as

per Bloom’s

Taxonomy

1 Introduction to Neural Networks and its Basic Concepts

7 L1

Biological neuron and McCulloch and Pitts model of neuron , Types of

Activation Functions , Neural Networks architectures, Linearly separable

and linearly non separable systems and their examples , Features and

advantages of neural networks over statistical techniques, Knowledge

representation, Learning process, Error-correction Learning concept of

supervised learning and unsupervised learning

2 Supervised Learning Neural Networks

8 L1, L2, L3,

L4

Single layer perceptron and multilayer perceptron neural networks, their

architecture, Error back propagation algorithm, generalized delta rule ,

learning factors, step learning, Concept of training ,testing and cross

validation data sets for design and validation of the networks ,Over fitting

and stopping criteria for training

3 Unsupervised Learning

5 L1, L2, L3,

L4

Competitive earning networks,Maxnet,Maxican Hat net kohonen self-

organizing networks-means and LMS algorithms , RBF neural network,

its structure and Hybrid training algorithm for RBF neural networks,

Discrete Hopfield networks, Introduction to the concept of Support

Vector Machine based classifier

4 Applications of Neural Networks

8 L1, L2, L3,

L4 Pattern recognition, Character recognition, Face recognition, Image

compression and decompression

5 Fuzzy logic

12 L1

Basic Fuzzy logic theory, sets and their properties,Operations on fuzzy sets

, Fuzzy relation and operations on fuzzy relations and extension

principle,Fuzzy membership functions and linguistic variables, Fuzzy

rules and fuzzy reasoning,Fuzzification and defuzzification and their

methods ,Fuzzy inference systems, Mamdani Fuzzy models, and Fuzzy

knowledge based controllers

6 Applications of Fuzzy Logic and Fuzzy Systems:

8 L1, L2, L3,

L4

Fuzzy pattern recognition ,Fuzzy image processing, Simple applications

of Fuzzy knowledge based controllers like washing machines, home

heating system, train break control

Total 48

2 Fuzzy Logic with

Engineering

Applications

Thimothy J. Ross Wiley India

Publications

3rd Edition 2010

3 Neural Network- A

Comprehensive

Foundation

Simon Haykin Pearson

Education

3rd Edition 2005

4 Introduction to Neural

Network Using Matlab

S. N. Sivanandam, S.

Sumathi, and S. N.

Deepa

Tata McGraw-

Hill

Publications

1st Edition 2010

Suggested List of Practical/Experiment:

Practical

Number


Cognitive

levels of

attainment as

per Bloom’s

Taxonomy

1

Basic Experiments

To implement McCulloch-Pitts Neutron

model for XOR gate.

2

L1, L2, L3, L4

2

To implement Hebb net to classify two

dimensional input pattern and test for any

input pattern

2

L1, L2, L3, L4

3

Design Experiments

To implement Perceptron Training and

testing for OR gate

2 L1, L2, L3, L4

4 To implement Back Propagation algorithm

2

L1, L2, L3, L4

5

To find new weights by Kohonen Self

Organization feature map for given set of

input vector and weights

2

L1, L2, L3, L4

6 To implement Discrete Hopfield Network

and test the input pattern

2

L1, L2, L3, L4

7 To perform various Fuzzy set operations 2 L1, L2, L3, L4

8 To Implement Fuzzy Relation Using Max-

Product and Max-Min Composition.

2 L1, L2, L3, L4

9 Design and implement Fuzzy Inference

System for Domestic Shower..

2 L1, L2, L3,

L4, L5, L6

10 Design and implement Fuzzy Inference

System for Washing Machine.

2 L1, L2, L3,

L4, L5, L6

11 MSE of practical/oral

2 L1, L2, L3, L4

12, 13,14

& 15

Mini/Minor Projects/

Seminar/ Case

Studies

6. Design of home heating system

7. Design of train break control

3.Case study on applications of neural

networks.

8 L1, L2, L3,

L4, L5, L6

Total Hours 30

B.E. Semester – VII Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)


Course Name: Big Data Analytics Course Code: PEC-ETCDLO

7032





Hours

Credit IA ESE PR TW

150

4 - 2 6 5 20 80 25 25



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

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

Prerequisite: Data Base Management System

Course Objective:

The course intends to deliver the fundamental knowledge of the various aspects of Big Data Analytics and apply

the knowledge in various platforms like Hadoop, NoSQL and Map reduce spread over various level.

Course Outcomes:


SN Course Outcomes

Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 understand the key issues in big data management L1

2 Acquire fundamental enabling techniques using tools in big data analytics. L1

3 understand and apply BDA analysis in Hadoop L1, L2, L3, L4

4 understand and apply BDA analysis in NoSQL L1, L2, L3, L4, L5, L6

5 understand and apply BDA analysis using Map reduce L1, L2, L3, L4

6 achieve adequate perspectives of big data analytics in various applications

like sensor, recommender systems, social media applications etc

L1, L2, L3, L4, L5, L6

Detailed Syllabus:

Module No. Topics Hrs. Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Introduction to Big Data Analytics 06 L1

1.1 Introduction to Big Data, Big Data characteristics, types of Big

Data, Traditional vs. Big Data business approach.

1.2 Technologies Available for Big Data, Infrastructure for Big

Data, Big Data Challenges, Case Study of Big Data Solutions.

2 Hadoop 06 L1, L2, L3, L4, L5,

L6 2.1 Introduction to Hadoop. Core Hadoop Components,

HadoopEcosystem, Physical Architecture, Hadoop limitations

3 NoSQL 08 L1, L2, L3, L4

3.1 Introduction to NoSQ, NoSQL business drivers, NoSQL case

studies

3.2 NoSQL data architecture patterns: Key-value stores, Graph

stores,Column family (Bigtable) stores, Document stores,

Variations ofNoSQL architectural patterns

3.3 Using NoSQL to manage big data: What is a big data

NoSQLsolution? Understanding the types of big data problems;

Analyzingbigdata with a shared-nothing architecture; Choosing

distributionmodels: master-slave versus peer-to-peer; Four ways

that NoSQLsystems handle big data problems

4 MapReduce 08 L1, L2, L3, L4, L5,

L6 4.1 MapReduce and The New Software Stack: Distributed File

Systems,Physical Organization of Compute Nodes, Large Scale

File-SystemOrganization

4.2 MapReduce: The Map Tasks, Grouping by Key, The Reduce

Tasks,Combiners, Details of MapReduce Execution, Coping With

NodeFailures

4.3 Algorithms Using MapReduce: Matrix-Vector Multiplication

byMapReduce, Relational-Algebra Operations by MapReduce,

MatrixOperations, Matrix Multiplication by MapReduce.

5 Techniques in Big Data Analytics 12 L1, L2, L3, L4, L5,

L6 5.1 Finding Similar Item: Nearest Neighbor Search, Similarity of

Documents

5.2 Mining Data Streams: Data Stream Management Systems,

DataStream Model, Examples of Data Stream Applications: Sensor

Networks, Network Traffic Analysis

5.3 Link Analysis: Page Rank Definition, Structure of the web, dead

ends, Using Page rank in a search engine, Efficient computation of

Page Rank: Page Rank Implementation Using Map Reduce 5.4

Frequent Item set Mining : Market-Basket Model, Apriori

Algorithm, Algorithm of Park-Chen-Yu

6 Big Data Analytics Applications 08 L1, L2, L3, L4, L5,

L6 6.1 Recommendation Systems: Introduction, A Model for

Recommendation Systems, Collaborative-Filtering System: Nearest

Neighbor Technique, Example.

6.2 Mining Social-Network Graphs: Social Networks as Graphs,

Types of Social-Network. Clustering of Social Graphs: Applying

Standard Clustering Techniques, Counting triangles using Map

Reduce.

Total 48

Books & References:


1

Big Data Analytics

RadhaShankarmani

and M

Vijayalakshmi

Wiley Second 2015

2 Hadoop in Practice‖

Alex Holmes Manning Press Second 2017

3 Making Sense of NoSQL– A

guide for managers and

therest of us

Dan McCreary and

Ann Kelly Manning Press Third 2013

4 Taming The Big Data Tidal

Wave: Finding Opportunities

In Huge Data Streams With

Advanced Analytics

Bill Franks Wiley Third

2015

Online Reference

S.

N

o.

Website Name URL Modules

Covered

1 https://nptel.ac.in/ https://nptel.ac.in/courses/106104189/ M1, M2,

M3

2 https://www.course

ra.org

https://www.coursera.org/courses?query=introduction%20to%20big

%20data%20analytics

M6


Practical

Number

Practical / Experiment Topic Hrs

Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Study of Hadoop ecosystem 2 L1, L2, L3, L4

2 Programming exercises on Hadoop 2 L1, L2, L3, L4

3 Programming exercises in No SQL 2 L1, L2, L3, L4

4 Implementing simple algorithms in Map- Reduce - Matrix

multiplication, Aggregates

2 L1, L2, L3, L4

5 Design and implementation of any case study/ applications based

on standard Data sets available on the web

2Twitter data analysis `

2 L1, L2, L3, L4

6 T2o understand the overall programming architecture using Map

Reduce API

2 L1, L2, L3, L4

7 Sto2re the basic information about students such as roll no,

name, date of birth , and address of student using various

collection types such as List, Set and Map

2 L1, L2, L3, L4

8 Basic CRUD operations in MongoDB 2 L1, L2, L3, L4

9 Retrieve various types of documents from students collection 2 L1, L2, L3, L4

10 To find documents from Students collection 2 L1, L2, L3, L4, L5,

L6

11 Develop Map Reduce Work Application 2 L1, L2, L3, L4, L5,

L6

12 Mid Semester Examination 2

13 Creating the HDFS tables and loading them in Hive and learn

joining of tables in Hive

2 L1, L2, L3, L4, L5,

L6


on standard Data sets available on the web Fraud Detection

2 L1, L2, L3, L4, L5,

L6


on standard Data sets available on the webText Mining etc. using

modern tools

2 L1, L2, L3, L4, L5,

L6

B.E. Semester – VII


B.E. (Electronics & Telecommunication Engineering) B.E.(Sem: VII)

Course Name: CMOS Mixed Signal VLSI Course Code: PEC-ETCDLO

7034




Work Total


Hours Credit IA ESE PR TW

150

4 - 2 6 5 20 80 25 25

2 hours to be taken as tutorial based on subject requirement.





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

Circuits, Microelectronics, Digital VLSI

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:


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 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

No.

Topics Hrs. Cognitive

levels of

attainment 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 sourcestage, source

follower, common gate stage, Differential Amplifiers:

1.2 Current mirrors: Basic current mirror, cascode current mirror, activecurrent mirror,

Wilson and Widlar current mirrors, voltage andcurrent 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 Frequency Response and Compensation, Slew Rate

3 Oscillators and Phase Locked Loops

08 L1, L2, L3, L4,

L5

3.1 General Considerations, Ring Oscillators, LC Oscillators, VoltageControlled

Oscillators (VCO), tuning range, tuning linearityMathematical 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 analogsignal

sampling, performance metrics of sampling circuits, design andanalysis 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 signalsto data

signals, sample and hold characteristics. DAC specifications,ADC specifications

5.2 Mixed signal Layout issues, Floor planning, power supply andGround issues, other

interconnect Considerations

6 Data Converter Architectures

10 L1 6.1 DAC architectures: R-2R ladder networks, current steering, chargescaling DACs,

Cyclic DAC, pipeline DAC, Switched capacitor basedDAC design.

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

successive approximation ADC, Switchedcapacitor 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

OxfordUniversity

Press 2nd

2002

5 CMOS: Circuit Design, layout

and Simulation

Baker, Li,

Boyce

PHI 2nd

2000

Online References:

S.

No.


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


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


Suggested List of Practical/ Experiment:

Practical

Number


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. Widlarcurrent 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

B.E. Semester – VII Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)

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

Course Name : Embedded System Course Code : PEC-ETCDLO

7035




Work

Total



150

4 2 _ 6 5 20 80 25 25

#2 hours to be taken as either lab or tutorial based on subject requirement





Prerequisite: Random Signal Analysis, Digital Communication, Computer Communication and Networks

Course Objective:

The course intends to give knowledge of Embedded Systems and learn to design and program and understand

communication Techniques. The course aims to make the students get the skills of programming embedded

systems and real time operating systems.

Course Outcomes:


SN Course Outcomes Cognitive levels of attainment

as per Bloom’s Taxonomy

1 Able to understand the detailed processor design techniques and

methods of communication.

L1, L2, L3, L4

2 Able to describe in-depth program modeling concepts. L1, L2, L3, L4

3 Able to implement concepts of Real time operating systems and

write programs.

L1, L2, L3, L4

4 Able to design embedded system applications using RTOS L1, L2, L3, L4

Detailed Syllabus:

Module No. Topics Hrs. Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Introduction 06

1.1 Definition of Embedded System, Embedded Systems Vs General

Computing Systems, Classification, Major Application Areas

L1

1.2 Characteristics and quality attributes (Design Metric) of embedded

system. Real time system‘s requirements, real time issues, interrupt

latency. Embedded Product development life cycle

1.3 Program modeling concepts: DFG, FSM, Petri-net, UML

2 Processor 06

2.1 Overview of Custom Single-Purpose Processors, General-Purpose

Processors

2.2 Parallel Port example, Standard Single-Purpose Processors

2.3 RISC and CISC architectures

2.4 GCD example

L1, L2, L3, L4

3 Communication 08

3.1 CAN bus, I2C, MOD bus, SPI

3.2 Examples on Parallel Communication, Serial Communication,

Wireless Communication

L1, L2, L3, L4

4 Real Time Operating Systems[RTOS] 08

4.1 Operating system basics

4.2 Types of OS

4.3 Tasks, process, Threads

4.4 Multiprocessing and ,Multitasking

4.5 Task scheduling

4.6 Threads, Process , Scheduling :- Putting them all together

L1

5 Task communications 10

5.1 Task synchronization

5.2 Device drivers

5.3 How to choose RTOS

5.4 Examples of RTOS

L1, L2, L3, L4

6 Design examples and case studies of program model and

programming with RTOS

10

6.1 Digital Camera:-Introduction to simple digital camera,

Requirements and specifications, Design using Microcontroller and

Microcontroller and CCDPP

6.2 Automatic Chocolate Vending Machine

6.3 Adaptive Cruise Control in car

L1, L2, L3, L4

Total 48

Books & References:


1 Embedded System

Design: A unified

Hardware/Software

Introduction

Frank Vahid, and Tony

Givargis

Frank Vahid,

and Tony

Givargis

3rd 2006

2 Embedded Systems

Architecture,

Programming and

design

Raj Kamal

Tata

MCgrawHill

Publication

2nd 2008

3 Embedded real systems

Programming Iyer, Gupta McGraw-Hill.

Indian

Edition 2015

4

Embedded systems

software primer

David Simon McGraw-Hill. 1st 2002

5

Introduction to

Embedded Systems

Shibu K.V Mc Graw Hill 2nd 2009

6

Embedded Real Time

Systems: Concepts,

Design & Programming

K.V.K.K. Prasad

Dreamtech

Publication.

1st 2006


Practical

Number

Type of

Experiment/Tutorial Practical/ Tutorial Topic Hrs.

Cognitive

levels of

attainment as

per Bloom’s

Taxonomy

1

Basic Experiments/

Tutorials

Write a program to interface Stepper

motor with ARM7 2 L1, L2, L3, L4

2 Write a program to interface Stepper


3 Write a program to interface Stepper


4

Write a program to interface Stepper


Design/Advanced

Experiments

Interfacing of I2C,CAN,SPI,zigbee etc

with ARM 2 L1, L2, L3, L4

6 Simulation of multitasking using RTOS

2 L1, L2, L3, L4,

7 Simulation of mutex using RTOS

2 L1, L2, L3, L4

8 Simulation of mailboxes using RTOS

2 L1, L2, L3, L4,

9 Interprocess communication using

semaphore in RTOS 2

L1, L2, L3, L4,

L5, L6

10 Simulation of message queues using

RTOS 2

L1, L2, L3, L4,

L5, L6


12, 13,14

& 15

Mini/Minor

Projects/ Seminar/

Case Studies

1. Home automation

2. Security

3. Vehicle Control and Automobiles

4. Robotics

8 L1, L2, L3, L4,

L5, L6


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

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

Course Name: Product Life Cycle Management Course Code: OEC-ETC7021



Hours Per Week Theory

(100)

Practical/Oral

(25)

Term

Work (25)

Total


Hours

Credits IA ESE PR TW

100

3 - - 3 3 20 80 - -





Prerequisite: Product Design and Development, Quality and Reliability Engineering

Course Objective:

The course intends to provide an exposure to new product development program and guidelines for designing and

developing a product and apply the knowledge of Product Data Management & PLM strategies.

Course Outcomes:


SN Course Outcomes

Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Illustrate knowledge about phases of PLM, PLM strategies and methodology

for PLM feasibility study and PDM implementation L1, L2

2 Illustrate various approaches and techniques for designing and developing

products. L1,L2

3

Apply product engineering guidelines / thumb rules in designing products for

moulding, machining, sheet metal working etc L1, L2, L3

4

Acquire knowledge in applying virtual product development tools for

components, machining and manufacturing plant L1, L2, L3

5 Apply Integration of Environmental Aspects in Product Design

L1, L2, L3

6. Illustrate knowledge about Life Cycle Assessment and Life Cycle Cost

Analysis L1, L2

Detailed Syllabus:

Module

No.

Topics Hrs.

Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1

Introduction to Product Lifecycle Management (PLM) and PLM

Strategies

10

L1, L2

Product Lifecycle Management (PLM), Need for PLM, Product Lifecycle

Phases, Opportunities of Globalization, Pre-PLM Environment, PLM

Paradigm, Importance & Benefits of PLM, Widespread Impact of PLM,

Focus and Application, A PLM Project, Starting the PLM Initiative, PLM

Applications

Industrial strategies, Strategy elements, its identification, selection and

implementation, Developing PLM Vision and PLM Strategy , Change

management for PLM

2

Product Design

9

L1, L2 Product Design: Product Design and Development Process, Engineering

Design, Organization and Decomposition in Product Design, Typologies of

Design Process Models, Reference Model, Product Design in the Context of

the Product Development Process, Relation with the Development Process

Planning Phase, Relation with the Post design Planning Phase,

Methodological Evolution in Product Design, Concurrent Engineering,

Characteristic Features of Concurrent Engineering, Concurrent Engineering

and Life Cycle Approach, New Product Development (NPD) and Strategies,

Product Configuration and Variant Management, The Design for X System,

Objective Properties and Design for X Tools, Choice of Design for X Tools

and Their Use in the Design Process

3

Product Data Management (PDM)

7

L1, L2, L3, Product Data Management (PDM):Product and Product Data, PDM systems

and importance, Components of PDM, Reason for implementing a PDM

system, financial justification of PDM, barriers to PDM implementation

4

Virtual Product Development Tools

7

L1, L2, L3 Virtual Product Development Tools: For components, machines, and

manufacturing plants, 3D CAD systems and realistic rendering techniques,

Digital mock-up, Model building, Model analysis, Modeling and simulations

in Product Design, Examples/Case studies

5

Integration of Environmental Aspects in Product Design

6

L1, L2, L3

Integration of Environmental Aspects in Product Design: Sustainable

Development, Design for Environment, Need for Life Cycle Environmental

Strategies, Useful Life Extension Strategies, End-of-Life Strategies,

Introduction of Environmental Strategies into the Design Process, Life Cycle

Environmental Strategies and Considerations for Product Design

6

Life Cycle Assessment and Life Cycle Cost Analysis

8

L1,L2

Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and

Framework of Life Cycle Assessment, Phases of LCA in ISO Standards,

Fields of Application and Limitations of Life Cycle Assessment, Cost

Analysis and the Life Cycle Approach, General Framework for LCCA,

Evolution of Models for Product Life Cycle Cost Analysis. Introduction to

Industry 4.0, Design principles and Challenges , Applications of Industry

4.0

Total Hours 39



1 Product Lifecycle

Management: Paradigm for

21st Century Product

Realisation

John Stark Springer-

Verlag

Sixth

Edition 2004

2 Product Design for the

environment-A life cycle

approach

Fabio Giudice, Guido La

Rosa, Antonino Risitano

Taylor &

Francis

Tenth

Edition 2006

3 Product Life Cycle

Management

Saaksvuori Antti,

ImmonenAnselmie

Springer,

Dreamtech

Tenth

Edition -

4 Product Lifecycle

Management: Driving the next

generation of lean thinking

Michael Grieve Tata

McGraw-

Hill, - 2006

Online References:

S. No. Website Name URL Modules

Covered

1 www.nptel.ac.in https://nptel.ac.in/courses/110104070/9 M1-M6

2 www.amieindia.in https://www.amieindia.in/study-

materials/product-life-cycle.pdf

M1, M5, M6




Course Name: Reliability Engineering Course Code: OEC-

ETC7022




Work Total


Hours

Credit IA ESE PR TW

100

03 - 03 03 20 80 - -





Prerequisite: Statistics for Engineers and Scientists, Simulation Fundamentals

https://nptel.ac.in/courses/110104070/9

https://www.amieindia.in/study-materials/product-life-cycle.pdf

https://www.amieindia.in/study-materials/product-life-cycle.pdf

Course Objective:

The course intends to familiarize with various aspects of probability theory and acquaint the students with

reliability and its concepts. To introduce the students to the methods of estimating the system reliability of simple

and complex systems. To understand the various aspects of Maintainability, Availability and FMECA procedure.

Course Outcomes:


SN Course Outcomes Cognitive Levels as

per Bloom’s

Taxonomy

1 Understand and apply the concept of Probability to engineering problems

L1,L2,L3

2 Apply various reliability concepts to calculate different reliability

parameters

L1,L2,L3,L4

3 Estimate the system reliability of simple and complex systems

L1,L2,L3

4 Carry out a Failure Mode Effect and Criticality Analysis L1,L2,L3,L4

Detailed Syllabus:

Module

No. Topics Hrs.

Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Probability theory: Probability: Standard definitions and concepts;

Conditional Probability, Baye’s Theorem.

Probability Distributions: Central tendency and Dispersion;

Binomial, Normal, Poisson, Weibull, Exponential, relations

between them and their significance.

Measures of Dispersion: Mean, Median, Mode, Range, Mean

Deviation, Standard Deviation, Variance, Skewness and Kurtosis.

08 L1,L2,L3

2 Reliability Concepts: Reliability definitions, Importance of

Reliability, Quality Assurance and Reliability, Bath Tub Curve.

Failure Data Analysis: Hazard rate, failure density, Failure Rate,

Mean Time To Failure (MTTF), MTBF, Reliability Functions.

Reliability Hazard Models: Constant Failure Rate, Linearly

increasing, Time Dependent Failure Rate, Weibull Model.

Distribution functions and reliability analysis.

08 L1,L2,L3

3 System Reliability: System Configurations: Series, parallel, mixed

configuration, k out of n structure, Complex systems.

05 L1,L2,L3, L4

4 Reliability Improvement: Redundancy Techniques: Element

redundancy, Unit redundancy, Standby redundancies. Markov

analysis.

System Reliability Analysis – Enumeration method, Cut-set

method, Success Path method, Decomposition method.

08 L1,L2

5 Maintainability and Availability: System downtime, Design for

Maintainability: Maintenance requirements, Design methods: Fault

Isolation and self-diagnostics, Parts standardization and

Interchangeability, Modularization and Accessibility, Repair Vs

Replacement.

05

L1,L2,L3

Availability – qualitative aspects.

6 Failure Mode, Effects and Criticality Analysis: Failure mode

effects analysis, severity/criticality analysis, FMECA examples.

Fault tree construction, basic symbols, development of functional

reliability block diagram, Fau1t tree analysis and Event tree

Analysis

05

L1,L2



1 Reliability Engineering L.S. Srinath, Affiliated

East-Wast

Press (P) Ltd.,

3rd Edition

1985

2 Reliability and Maintainability

Engineering.

Charles E. Ebeling Tata McGraw

Hill

4th

Edition

1997

3 Engineering Reliability.

B.S. Dhillion, C.

Singh

John Wiley

&Sons, 1980

5th

edition

1980

4 Practical Reliability Engg.

P.D.T. Conor John Wiley &

Sons

3rd

Edition

1985

5 Reliability in Engineering Design

K.C. Kapur, L.R.

Lamberson,

John Wiley &

Sons. 3rd

Edition

1977

6 Probability and Statistics

Murray R. Spiegel Tata McGraw-

Hill

Publishing Co.

Ltd.

5th

edition

2018

B.E. Semester–VII


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

Course Name :Management Information System Course Code : OEC-ETC7023






100

3 - - 3 3 20 80 - -





Prerequisite: Database Design and Management

Course Objective:

The course intends to deliver the role of Management in Information Systems & to understand the impact of these

systems within an Organization to improve business performance and decision making. It analyzes typical

functional information systems, principal tools and technologies for accessing information from databases &

interpreting Ethical issues & Privacy for the same.

Course Outcomes:


SN Course Outcomes Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Explain how information systems Transform Business L1, L2

2 Analyze the impact of information systems have on an organization L1, L2, L3

3 Describe IT infrastructure and its components and its current trends L1, L2, L3, L4

4 Understand the principal tools and technologies for accessing information from

databases to improve business performance and decision making

L1, L2, L3

5 Analyze the types of systems used for enterprise-wide knowledge management

and how they provide value for businesses

L1, L2, L3, L4

Detailed Syllabus:

Module

No.

Topics Hrs Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy



1 Management Information Systems Kelly Rainer, Brad Prince Wiley Sixth Edition 2011

2 Management Information Systems K.C. Laudon and J.P. Laudon Prentice

Hall

Tenth Edition 2007

3. Managing Information Systems:

Strategy and Organization

D. Boddy, A. Boonstra Prentice

Hall

Tenth Edition 2008

Online References:

S.

N

o.

Website Name URL Modu

les

Cove

red 1. https://www.tutorialspoint.co

m/index.htm

https://www.tutorialspoint.com/management_information_system/ M1

2. https://www.tutorialspoint.co

m/index.htm

https://www.tutorialspoint.com/management_information_system/infor

mation_need_objective.htm

M2


m/index.htm

https://www.tutorialspoint.com/management_information_system/mis_s

ecurity_and_ethical_issues.htm

M3


m/index.htm

https://www.tutorialspoint.com/management_information_system/syste

m_development_life_cycle.htm

M4

5. https://pressbooks.com/ https://bus206.pressbooks.com/chapter/chapter-13-future-trends-in-

information-systems/

M5


m/index.htm

https://www.tutorialspoint.com/management_information_system/busine

ss_continuity_planning.htm

M6

Introduction To Information Systems (IS)

4

L1, L2

Computer Based Information Systems, Impact of IT on organizations,

Importance of IS to Society. Organizational Strategy, Competitive Advantages

and IS

2

Data and Knowledge Management

7

L1, L2, L3

Database Approach, Big Data, Data warehouse and Data Marts, Knowledge

Management Business intelligence (BI): Managers and Decision Making, BI for

Data analysis and Presenting Results

3

Ethical issues and Privacy

7

L1, L2, L3,

L4

Information Security. Threat to IS, and Security Controls

4

Social Computing (SC)

8

L1, L2, L3 Web 2.0 and 3.0, SC in business-shopping, Marketing, Operational and Analytic

CRM, E-business and E-commerce – B2B B2C. Mobile commerce.

5

Wired and Wireless Technology

7

L1, L2, L3,

L4 Computer Networks Wired and Wireless Technology, Pervasive computing,

Cloud computing model.

6

Information System within Organization

10

L1, L2, L3,

L4

Transaction Processing Systems, Functional Area Information System, ERP and

ERP support of Business Process. Acquiring Information Systems and

Applications: Various System development life cycle models

Total Hours 43

https://www.tutorialspoint.com/index.htm


https://www.tutorialspoint.com/management_information_system/



https://www.tutorialspoint.com/management_information_system/information_need_objective.htm

https://www.tutorialspoint.com/management_information_system/information_need_objective.htm



https://www.tutorialspoint.com/management_information_system/mis_security_and_ethical_issues.htm

https://www.tutorialspoint.com/management_information_system/mis_security_and_ethical_issues.htm



https://www.tutorialspoint.com/management_information_system/system_development_life_cycle.htm

https://www.tutorialspoint.com/management_information_system/system_development_life_cycle.htm

https://pressbooks.com/

https://bus206.pressbooks.com/chapter/chapter-13-future-trends-in-information-systems/

https://bus206.pressbooks.com/chapter/chapter-13-future-trends-in-information-systems/



https://www.tutorialspoint.com/management_information_system/business_continuity_planning.htm

https://www.tutorialspoint.com/management_information_system/business_continuity_planning.htm

B.E. Semester –VII Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS-H 2019)

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

Course Name :Design of Experiments Course Code : OEC-ETC7024



Hours Per Week Theory Practical/Ora

l

Term

Work

Total



100

3 - - 3 3 20 80 - -





Prerequisite:

Course Objective:

The course intends to provide understanding of issues and principles of Design of Experiments (DOE) and list

the guidelines for designing experiments to become familiar with methodologies that can be used in conjunction

with experimental designs for robustness and optimization

Course Outcomes:


SN Course Outcomes

Cognitive levels of attainment

as per Bloom’s Taxonomy

1 Plan data collection, to turn data into information and to make

decisions that lead to appropriate action

L1, L2, L3, L4

2 Apply the methods taught to real life situations L1, L2, L3, L4

3 Plan, analyze, and interpret the results of experiments L1, L2, L3, L4

Detailed Syllabus:

Module

No.

Topics

Hrs.

Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1 Introduction

6

L1

Strategy of Experimentation, Typical Applications of Experimental Design,

Guidelines for Designing Experiments, Response Surface Methodology

2 Fitting Regression Models

8

L1, L2, L3,

L4 Linear Regression Models, Estimation of the Parameters in Linear

Regression Models, Hypothesis Testing in Multiple Regression, Confidence


Title

Authors Publisher Edition Year

1 Response Surface Methodology:

Process and Product Optimization

using Designed Experiment

Raymond H.

Mayers, Douglas C.

Montgomery,

Christine M.

Anderson-Cook

Wiley & Sons 3rd

Edition

2001

2 Design and Analysis of

Experiment

D.C. Montgomery John Wiley & Sons 5th

edition

2001

3 Statics for Experimenters: Design,

Innovation and Discovery,.

George E P Box, J

Stuart Hunter,

William G Hunter

Wiley 2nd Ed 2005

Online Resources:

S.

N

o.

Website Name URL Modul

es

Cover

ed

1 https://www2.isye.gatech.

edu https://www2.isye.gatech.edu/~yxie77/isye2028/lecture12.pdf

M1,

M2

2 http://reliawiki.org http://reliawiki.org/index.php/Multiple_Linear_Regression_Anal

ysis

M2

3 https://www.stat.washingt

on.edu

https://www.stat.washington.edu/pds/stat502/LectureNotes/2k.fa

ctorial.intro.pdf

www.math.montana.edu/jobo/st578/sec6.pdf

M3,M

5

4 https://www2.isye.gatech.

edu

https://www2.isye.gatech.edu/~jeffwu/isye6413/unit_08_12spri

ng.pdf

M6

Intervals in Multiple Regression, Prediction of new response observation,

Regression model diagnostics, Testing for lack of fit.

3 Two-Level Factorial Designs

7

L1, L2, L3,

L4 The 22 Design, The 23 Design , The General 2k Design, A Single Replicate

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

in the 2k Factorial Design Split-Plot Designs

4 Two-Level Fractional Factorial Designs

7

L1, L2, L3,

L4 The One-Half Fraction of the 2k Design, The One-Quarter Fraction of the 2k

Design, The General 2k-p Fractional Factorial Design, Resolution III

Designs, Resolution IV and V Designs, Fractional Factorial Split-Plot

Designs

5 Response Surface Methods and Designs

7

L1, L2, L3,

L4 Introduction to Response Surface Methodology, The Method of Steepest

Ascent, Analysis of a Second-Order Response Surface, Experimental

Designs for Fitting Response Surfaces

6 Taguchi Approach

4

L1, L2, L3,

L4 Crossed Array Designs and Signal-to-Noise Ratios, Analysis Methods,

Robust design examples

Total Hours 39

http://mathworld.wolfram.com/MethodofSteepestDescent.html

http://mathworld.wolfram.com/MethodofSteepestDescent.html

http://www.math.montana.edu/jobo/st578/sec6.pdf

https://www2.isye.gatech.edu/~jeffwu/isye6413/unit_08_12spring.pdf

https://www2.isye.gatech.edu/~jeffwu/isye6413/unit_08_12spring.pdf



BE (Electronics & Telecommunication Engineering) B.E.(SEM: VII)

Course Name: Operation Research Course Code: OEC-ETC7025




Work

Total



100

3 - - 3 3 20 80 - -





Prerequisite: Engineering Mathematics

Course Objective:

The course intends to provide understanding of optimization techniques so that student should be able to

optimize any engineering product or process.

Course Outcomes:


SN Course Outcomes

Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1

Understand the theoretical workings of the simplex method, the relationship

between a linear program and its dual, including strong duality and

complementary slackness.

L1, L2, L3

2

Perform sensitivity analysis to determine the direction and magnitude of change

of a model’s optimal solution as the data change

L1, L2, L3

3 Solve specialized linear programming problems like the transportation and

assignment problems, solve network models like the shortest path, minimum

spanning tree, and maximum flow problems

L1, L2, L3

4 Understand the applications of integer programming and a queuing model and

compute important performance measures

L1, L2, L3

5 Apply conflict between two players L1, L2, L3

6 Apply EOQ model in inventory L1, L2, L3

Detailed Syllabus:

Module

No.


levels of

attainment

as per

Bloom’s

Taxonomy

1

Introduction to Operations Research

14

L1, L2, L3

Introduction, , Structure of the Mathematical Model, Limitations of

Operations Research

Linear Programming:

Introduction, Linear Programming Problem, Requirements of LPP,

Mathematical Formulation of LPP, Graphical method, Simplex Method

Penalty Cost Method or Big M-method, Two Phase Method, Revised simplex

method, Duality, Primal – Dual construction, Symmetric and Asymmetric

Dual, Weak Duality Theorem, Complimentary Slackness Theorem, Main

Duality Theorem, Dual Simplex Method, Sensitivity Analysis

Transportation Problem:

Formulation, solution, unbalanced Transportation problem. Finding basic

feasible solutions – Northwest corner rule, least cost method and Vogel’s

approximation method. Optimality test: the stepping stone method and MODI

method

Assignment Problem

Introduction, Mathematical Formulation of the Problem, Hungarian Method

Algorithm, Processing of n Jobs Through Two Machines and m Machines,

Graphical Method of Two Jobs m Machines Problem Routing Problem,

Travelling Salesman Problem

Integer Programming Problem

Introduction, Types of Integer Programming Problems, Gomory’s cutting

plane Algorithm, Branch and Bound Technique. Introduction to

Decomposition algorithms.

2

Queuing models:

05

L1, L2, L3,

L4

queuing systems and structures, single server and multi-server models,

Poisson input, exponential service, constant rate service, finite and infinite

population

3

Simulation

05

L1, L2, L3,

L4 Introduction, Methodology of Simulation, Basic Concepts, Simulation

Procedure, Application of Simulation Monte-Carlo Method: Introduction,

Monte-Carlo Simulation, Applications of Simulation, Advantages of

Simulation, Limitations of Simulation

4

Dynamic programming.

6

L1, L2, L3 Characteristics of dynamic programming. Dynamic programming approach

for Priority Management employment smoothening, capital budgeting, Stage

Coach/Shortest Path, cargo loading and Reliability problems.

5

Game Theory.

10

L1, L2, L3 Competitive games, rectangular game, saddle point, minimax (maximin)

method of optimal strategies, value of the game. Solution of games with

saddle points, dominance principle. Rectangular games without saddle point

– mixed strategy for 2 X 2 games.

6

Inventory Models

08

L1, L2, L3,

L4



1 Operations Research - An

Introduction

Taha, H.A. Prentice Hall, 7th Edition,

2002

2 Operations Research:

Principles and Practice",

Ravindran, A, Phillips

John Willey

and Sons

2nd Edition

-

2009

3 Introduction to Operations

Research

Hiller, F. S. and

Liebermann

McGraw Hill - -

4 Operations Research

S. D. Sharma

KedarNath

Ram Nath-

Meerut

- -


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

Course Name :Cyber Security and Laws Course Code : OEC-ETC7026



Hours Per Week Theory Practical/Oral/

Presentation

Term Work

(25)

Tota

l


Hours

Credit

s IA ESE PR TW

100 3 - - 3 3 20 80

-- --





Prerequisite: Cryptography and network security

Course Objective:

The course intends to deliver the fundamental knowledge to understand concepts of cyber law, intellectual

property, cybercrimes, trademarks, domain theft, tools used in cyber security and analyze security policies,

protocols applied in Indian IT Act 2008, security standards compliances

Course Outcomes:


SN Course Objectives Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Understand the concept of cybercrime and its effect on outside world L1

Classical EOQ Models, EOQ Model with Price Breaks, EOQ with

Shortage, Probabilistic EOQ Model,

2 Interpret and apply IT law in various legal issues , Analyze security

challenges and issues

L1, L2, L3, L4

3 Understand and analyze various attack using tools like wire shark , key

logger etc

L1

4 Distinguish different aspects of cyber law

L1, L2, L3, L4

5 Study India IT Act and analyse different case studies

L1, L2, L3, L4

6 Apply Information Security Standards compliance during software design

and development

L1, L2, L3, L4

Detailed Syllabus:

Module

No.

Topics Hrs Cognitive

levels of

attainment

as per

Bloom’s

Taxonomy

1 Introduction to Cybercrime:

4 L1

Introduction to Cybercrime: Cybercrime definition and origins of the world,

Cybercrime and information security, Classifications of cybercrime,

Cybercrime and the Indian ITA 2000, A global Perspective on cybercrimes.

2

Cyber offenses & Cybercrime:

9 L1

Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg,

Cyber stalking, Cyber café and Cybercrimes, Bot nets, Attack vector, Cloud

computing, Proliferation of Mobile and Wireless Devices, Trends in

Mobility, Credit Card Frauds in Mobile and Wireless Computing Era,

Security Challenges Posed by Mobile Devices, Registry Settings for Mobile

Devices, Authentication Service Security, Attacks on Mobile/Cell Phones,

Mobile Devices: Security Implications for Organizations, Organizational

Measures for Handling Mobile, Devices-Related Security Issues,

Organizational Security Policies and Measures in Mobile

Computing Era, Laptops

3

Tools and Methods Used in Cyber line

6 L1 Phishing, Password Cracking, Key loggers and Spywares, Virus and

Worms, Steganography, DoS and DDoS Attacks, SQL Injection, Buffer

Over Flow, Attacks on Wireless Networks, Phishing, Identity Theft (ID

Theft)

4 The Concept of Cyberspace

8 L1, L2, L3,

L4

E-Commerce , The Contract Aspects in Cyber Law ,The Security Aspect of

Cyber Law ,The Intellectual Property Aspect in Cyber Law , The Evidence

Aspect in Cyber Law , The Criminal Aspect in Cyber Law, Global Trends

in Cyber Law , Legal Framework for Electronic Data Interchange Law

Relating to Electronic Banking , The Need for an Indian Cyber Law

5 Indian IT Act.

6 L1, L2, L3,

L4 Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals

Under the IT Act, 2000, IT Act. 2008 and its Amendments

6 Information Security Standard compliances 6

L1, L2, L3,

L4 SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI.

Books and References

Sr.

No Title Authors Publisher Edition Year

1 Cyber Security Nina Godbole,

SunitBelapure Wiley India ,New Delhi 2nd 2011

2

The Indian Cyber Law Suresh T.

Vishwanathan Bharat Law House,New

Delhi

2nd 2015

3 Cyber Law & Cyber

Crimes

Advocate Prashant

Mali

Snow White

Publications, Mumbai 2nd 2015

4 Information Systems

Security

Nina Godbole Wiley India, New Delhi 2nd 2014

5 Cyber Security &Global

Information Assurance

Kennetch J. Knapp Information Science

Publishing. 1st 2009



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

Course Name: Disaster Management and Mitigation Measures Course Code: OEC-

ETC7026

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



Work Total


Hours

Credit IA ESE PR TW

100

3 - - 3 3 20 80 - -





Prerequisite: Analog Communication, Digital Communication, Computer Communication and Networks

Course Objective:

The course intends to provide understanding of causes of different types of disasters, mitigation /rehabilitation

measures and existing government policies and agencies.

Course Outcomes:



attainment as per

Bloom’s Taxonomy

1 Get to know natural as well as manmade disaster and their extent and

possible effects on the economy. L1

2 Plan of national importance structures based upon the previous history. L1

3 Get acquainted with government policies, acts and various organizational

structure associated L1

4 Get to know the simple do‘s and don‘ts in such extreme events and act

accordingly. L1

Detailed Syllabus:

Module

No.


levels of

attainment

as per

Bloom’s

Taxonomy

1 Introduction 03

L1

Definition of Disaster, hazard, global and Indian scenario,

generalperspective, importance of study in human life, Direct and

indirecteffects of disasters, long term effects of disasters. Introduction to

global warming and climate change

2 Natural Disaster and Manmade disasters 09

L1

Natural Disaster: Meaning and nature of natural disaster, Flood,Flash flood,

drought, cloud burst, Earthquake, Landslides,Avalanches, Volcanic

eruptions, Mudflow, Cyclone, Storm, StormSurge, climate change, global

warming, sea level rise, ozonedepletion, Manmade Disasters: Chemical,

Industrial, Nuclear and Fire Hazards.Role of growing population and

subsequent industrialization,urbanization and changing lifestyle of human

beings in frequentoccurrences of manmade disasters

3 Disaster Management, Policy and Administration 06

L1

Disaster management: meaning, concept, importance, objective ofdisaster

management policy, disaster risks in India, Paradigm shift indisaster

management

Policy and administration:

Importance and principles of disaster management policies, commandand

co-ordination of in disaster management, rescue operations-howto start with

and how to proceed in due course of time, study offlowchart showing the

entire process.

4 Institutional Framework for Disaster Management in India 06 L1

Importance of public awareness, Preparation and execution ofemergency

management program. Scope and responsibilities ofNational Institute of

Disaster Management (NIDM) and Nationaldisaster management authority

(NDMA) in India. Methods andmeasures to avoid disasters, Management of

casualties, set up of emergency facilities, importance of effective

communicationamongst different agencies in such situations.Use of Internet

and softwares for effective disaster management. Applications of GIS,

Remote sensing and GPS in this regard.

5 Financing Relief Measures 09

L1

Ways to raise finance for relief expenditure, role of governmentagencies and

NGO‘s in this process, Legal aspects related to financeraising as well as

overall management of disasters. Various NGO‘sand the works they have

carried out in the past on the occurrence ofvarious disasters, Ways to

approach these teams.International relief aid agencies and their role in

extreme events

6 Preventive and Mitigation Measures 06

L1

Pre-disaster, during disaster and post-disaster measures in someevents in

general.Structural mapping: Risk mapping, assessment and analysis, sea

walls and embankments, Bio shield, shelters, early warning and

communication.Non Structural Mitigation: Community based disaster

preparedness, risk transfer and risk financing, capacity development and

training, awareness and education, contingencyplans.Do‘s and don‘ts in case

of disasters and effective implementation of relief aids.

Total 39

Books & References:

SN Title Authors Publisher Year

1 Disaster Management

Harsh K.Gupta Universities Press

Publications 2003

2 Disaster Management: An

Appraisal of Institutional

Mechanisms in India

O.S.Dagur Centre for land

warfare studies 2011

3 Introduction to International

Disaster Management Damon Copolla

Butterworth

Heinemann

Elsevier

Publications

2006

4 Disaster Management Handbook Jack Pinkowski

CRC Press Taylor

and Francis group 2008

5 Disaster management &

rehabilitation RajdeepDasgupta Mittal Publications 2007

6 Natural Hazards and Disaster

Management, Vulnerability and

Mitigation R B Singh

Rawat Publications

2006

7 Concepts and Techniques of GIS

C.P.Lo Albert,

K.W. Yonng

Prentice Hall

(India)

Publications.

2006




Course Name: Energy Audit and Management Course Code: OEC-

ETC7028

Contact Hours Per Week: 03 Credit: 03





Hours

Credit IA ESE PR TW

100

3 - - 3 3 20 80 - -



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

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

Course Objective:

The course intends to provide understanding of unwanted source of energy and remedial measures for Energy

Conservation through Energy Audit. In addition, subject analyses and highlights the detailed audit procedures of

various energy generation plants & establishments, Govt initiatives and bodies associated with Electrical Energy

Management.

Course Outcomes:


SN Course Outcomes Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 To identify and describe present state of energy conservation, security and its

importance.

Understand(U)

2 To identify and describe the basic principles and methodologies adopted in

energy audit of energy generation establishment/plants.

L1, L2, L3, L4

3 To describe the energy performance evaluation of some common electrical

installations and identify the energy saving opportunities

L1, L2, L3, L4, L5

4 To describe the energy performance evaluation of some common thermal

installations and identify the energy saving opportunities

L1, L2, L3, L4, L5

5 To analyze the data collected during performance evaluation and recommend

energy saving measures

L1, L2, L3, L4,

L5, L6

Detailed Syllabus:

Module

No.


levels of

attainment

as per

Bloom’s

Taxonomy

1 Energy Scenario 05

L1 Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy

Security, Energy Conservation and its Importance, EnergyConservationAct-

2001 and its Features. Basics of Energy and itsvarious forms, Material and

Energy balance

2 Energy Audit Principles 08

L1, L2, L3

Definition, Energy audit- need, Types of energy audit, Energymanagement

(audit) approach-understanding energy costs, Benchmarking, Energy

performance, Matching energy use to requirement, Maximizing system

efficiencies, Optimizing the input energy requirements, Fuel and energy

substitution. Elements of monitoring&targeting; Energy audit Instruments;

Data and information-analysis.

Financial analysis techniques: Simple payback period, NPV, Returnon

investment (ROI), Internal rate of return (IRR)

3 Energy Management and Energy Conservation in ElectricalSystem 05

L1, L2, L3,

L4

Electricity billing, Electrical load management and maximum demand

Control; Power factor improvement, Energy efficient equipments and

appliances, star ratings.

Energy efficiency measures in lighting system, Lighting control:

Occupancy sensors, daylight integration, and use of intelligent controllers.

Energy conservation opportunities in: water pumps, industrial drives,

induction motors, motor retrofitting, soft starters, variable speed drives.

4 Energy Management and Energy Conservation in ThermalSystems 08

L1, L2, L3,

L4

Review of different thermal loads; Energy conservation opportunitiesin:

Steam distribution system, Assessment of steam distributionlosses, Steam

leakages, Steam trapping, Condensate and flash steamrecovery

system.General fuel economy measures in Boilers and furnaces, Waste

heatrecovery, use of insulation- types and application. HVAC system:

Coefficient of performance, Capacity, factors affecting Refrigerationand

Air Conditioning system performance and savings opportunities.

5 Energy Performance Assessment 07

L1, L2, L3,

L4, L5 On site Performance evaluation techniques, Case studies based on: Motors

and variable speed drive, pumps, HVAC system calculations; Lighting

System: Installed Load Efficacy Ratio (ILER) method, Financial Analysis.

6 Energy conservation in Buildings 06 L1, L2, L3,

L4, L5 Energy Conservation Building Codes (ECBC): Green Building,LEED

rating,

Application of Non-Conventional and RenewableEnergy Sources

Total 39

Books & References:

S.No. Title Authors Publisher Edition

1 Handbook of Electrical

Installation Practice

Geofry Stokes, Blackwell

Science 2003

2 Designing with light: Lighting

Handbook

Anil Valia Lighting System 2010

3 Energy Management

Handbook

W.C. Turner John Wiley and

Sons

2007

4 Handbook on Energy Audits

and Management

Edited by A. K. Tyagi Tata Energy

Research

Institute (TERI).

2017

5 Energy Management Principles C.B.Smith Pergamon Press 2015

6 Energy Conservation

Guidebook

Dale R. Patrick, S. Fardo,

Ray E. Richardson

Fairmont Press

2015

7 Handbook of Energy Audits Albert Thumann, W. J.

Younger, T. Niehus,

CRC Press 2017

Online References:

S.

No. Website Name URL

Modules

Covered

1 Energy managertraining www.energymanagertraining.com M3

2 bee-india.nic www.bee-india.nic.in M2



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

Course Name :Development Engineering Course Code : OEC-ETC7029




Work

Total



100

3 - - 3 3 20 80 - -





Prerequisite: Civics, Ethics

Course Objective:

The course intends to deliver introduction to characteristics of rural Society and the Scope, Nature and

Constraints of rural Development & exploration of human values ‘good’ professional, a ‘good’ society and a

‘good life’ in the context of work life and the personal life of modern Indian professionals.

Course Outcomes:


Detailed Syllabus:

Sr.No. Course Outcomes

Cognitive levels

of attainment as

per Bloom’s

Taxonomy

1 Apply knowledge for Rural Development. L1, L2,

2 Apply knowledge for Management Issues.

L1, L2,

3 Apply knowledge for Initiatives and Strategies L1, L2, L3

4 Develop acumen for higher education and research. L1, L2, L3

5 Master the art of working in group of different nature. L1, L2, L3

6 Develop confidence to take up rural project activities independently L1, L2

Module

No.

Topics Hrs Cognitive levels of

attainment as per

Bloom’s

Taxonomy

1 Introduction to Rural Development

10

L1, L2

Introduction to Rural Development Meaning, nature and scope of

development; Nature of rural society in India; Hierarchy of

settlements; Social, economic and ecological constraints for rural

development

Roots of Rural Development in India Rural reconstruction and

Sarvodaya programme before independence; Impact of voluntary

effort and Sarvodaya Movement on rural development; Constitutional

direction, directive principles; Panchayati Raj - beginning of planning

and community development; National extension services.

2 Rural Development Initiatives

9

L1, L2

Post-Independence rural Development Balwant Rai Mehta

Committee - three tier system of rural local Government; Need and

scope for people’s participation and Panchayati Raj; Ashok Mehta


Sr.No. Title Authors Publisher Edition Year

1 Village Planning and

Rural Development

ITPI ITPI - -

2 Human Settlements Thooyavan, K.R. MA

Publication,

Chennai

-- 2005

3 Manual of Integrated

District Planning

Planning Commission Planning

Commission

--

2006

4 Normative Ethics in

Planning

How, E.

Journal of

Planning

Literature

Vol.5, No.2,

pp. 123-150

2017

Committee - linkage between Panchayati Raj, participation and rural

development

3 Rural Development Initiatives

7

L1, L2, L3 . Rural Development Initiatives in Five Year Plans Five Year Plans

and Rural Development; Planning process at National, State,

Regional and District levels; Planning, development, implementing

and monitoring organizations and agencies; Urban and rural interface

- integrated approach and local plans; Development initiatives and

their convergence; Special component plan and sub-plan for the

weaker section; Micro-eco zones; Data base for local planning; Need

for decentralized planning; Sustainable rural development.

4 Amendments

7

L1, L2, L3 Post 73rd Amendment Scenario 73rd Constitution Amendment Act,

including - XI schedule, devolution of powers, functions and finance;

Panchayati Raj institutions - organizational linkages; Recent changes

in rural local planning; Gram Sabha - revitalized Panchayati Raj;

Institutionalization; resource mapping, resource mobilization

including social mobilization; Information Technology and rural

planning; Need for further amendments.

5

Values and Science and Technology

6

L1, L2, L3

Values and Science and Technology Material development and its

values; the challenge of science and technology; Values in planning

profession, research and education.

Types of Values Psychological values — integrated personality;

mental health; Societal values — the modern search for a good

society; justice, democracy, rule of law, values in the Indian

constitution; Aesthetic values — perception and enjoyment of beauty;

Moral and ethical values; nature of moral judgment; Spiritual values;

different concepts; secular spirituality; Relative and absolute values;

Human values— humanism and human values; human rights; human

values as freedom, creativity, love and wisdom.

6

Ethics

8

L1, L2

Ethics Canons of ethics; ethics of virtue; ethics of duty; ethics of

responsibility; Work ethics; Professional ethics; Ethics in planning

profession, research and education

Total Hours 39

Online References:

Sr.

No.


Covered

1. www.nptel.ac.in https://nptel.ac.in/courses/110104070/9 M1-M6

2. www.amieindia.in https://www.amieindia.in/study-materials/product-life-

cycle.pdf

M1, M5,

M6



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

Course Name :Project I Course Code :ECL701




(100)

Practical/Oral

(50)

Term

Work (50)

Total


Hours

Credits IA ESE PR TW

100

- - 6 6 3 - - 50 50

IA: In-Semester Assessment

ESE: End Semester Examination



Prerequisite: All related subjects

Course Objectives:

The course intends to develop the ability to define, design and analyze the problem, improve the skills related to

scientific and technical report writing, learn to function effectively as an individual and in multi-cultural team,

to learn different computational techniques and modern engineering tools.

Course Outcomes:


Sr.

No

Course Outcomes Cognitive levels of

attainment as per

Bloom’s Taxonomy

1 Apply learning from knowledge gathered through various theoretical and

laboratory courses.

L1, L2, L3, L4

2 Develop the ability to define, design and analysis of the problem and lead to

its accomplishment with proper planning

L1, L2, L3, L4, L5,

L6

3 Improve the skills related to scientific and technical report writing and

presentation and communicate effectively with engineers as well as the

society

L1, L2, L3, L4, L5,

L6

4 Learn to function effectively as an individual and in multi-cultural team, and

develop the attitude of being a leader or manager as well as an effective team

member

L1, L2, L3, L4, L5

5 Learn different computational techniques and modern engineering tools as

well as make best use of available resources

L1, L2, L3, L4, L5

6 Able to develop an understanding of the social, cultural, global and

environmental responsibilities of the professional Engineer and the principles

of sustainable design and development

L1, L2, L3, L4, L5



BE ( Electronics and Telecommunication Engineering ) SEM : VII

Course Name :Seminar and Workshop Course Code :SI-ETC701

Contact Hours Per Week : 02 Credits : 00




(100)

Practical/O

ral (25)

Term

Work

(25)

Total


Hours Credits IA ESE PR/OR TW

- - - 2 2 - - - - -

Prerequisite: Basic domain knowledge

Course Objectives:

The course intends to provide knowledge about latest developments in industry and also hands on experience on

latest technology.

Course Outcomes:

Upon completion of the course students will be able to


attainment as per

Bloom’s Taxonomy

Students will able to

1 Apply fundamentals of communication to design a system. L1,L2,L3,L4, L5

2 Apply basics of microprocessors and microcontrollers to develop new

system related to embedded domain and real time problems.

L1,L2,L3,L4

3 Apply fundaments of signal processing to analyse a system. L1,L2,L3,L4

4 To apply fundamentals of electromagnetism to design and develop

industry applications.

L1,L2,L3,L4

5 To apply fundamentals of electronic circuits to design and develop

practical applications.

L1,L2,L3,L4

6 Apply fundaments of basic programming and relate skills to the practical

applications in software domain. L1,L2,L3,L4

Detailed Syllabus:

Sr.No Topics Hrs. Cognitive levels of

attainment as per

Bloom’s Taxonomy

01 Domain: Communication Engineering

• Seminar on emerging Technologies used in the

industry

• Hands on workshop on industry special skills

• Industry connect /alumni connect Seminar

05 L1,L2,L3,L4

02 Domain: Embedded System


industry



05 L1,L2,L3,L4

03 Domain: Signal Processing


industry



05 L1,L2,L3,L4

04 Domain: Antenna and Micro Wave Engineering


industry



05 L1,L2,L3,L4

05 Domain: Electronic Devices Circuits and Modelling


industry



05 L1,L2,L3,L4

06 Domain: Information Technology


industry



05 L1,L2,L3,L4

Total

30

L1,L2,L3,L4