Vide Item No 644 R The revised syllabus of ME Computer Engineering Sem I to IV CBCS_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
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Department (CAD),
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7. The Deputy Registrar, (Special Cell),
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(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
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for information.

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AC – 11 July, 2022
Item No. – 6.44 (R)


University of Mumbai





Revised Syllabus for
M.E. (Computer Engineering)
Semester – (I& IV)
(Choice Based Credit System)


(With effect from the academic year 2022 -23)

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Preamble
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to
be addressed, debated and taken forward in a systematic manner. Accreditation is the principal
means of quality assurance in higher education. The major em phasis of accreditation process is to
measure the outcomes of the program that is being accredited. In line with this Faculty of Science
and Technology (in particular Engineering) of University of Mumbai has taken a lead in
incorporating philosophy of outc ome based education in the process of curriculumdevelopment.
Faculty resolved that course objectives and course outcomes are to be clearly defined for each
course, so that all faculty members in affiliated institutes understand the depth and approach of
course to be taught, which will enhance learner‘s learning process. Choice based Credit and grading
system enables a much -required shift in focus from teacher -centric to learner -centric education since
the workload estimated is based on the investment of tim e in learning and not in teaching. It also
focuses on continuous evaluation which will enhance the quality of education. Credit assignment for
courses is based on 15 weeks teaching learning process, however content of courses is to be taught in
13 weeks an d remaining 2 weeks to be utilized for revision, guest lectures, coverage of content
beyond syllabusetc.
There was a concern that the earlier revised curriculum more focused on providing information and
knowledge across various domains of the said program, which led to heavily loading of students in
terms of direct contact hours. In this regard, faculty of sc ience and technology resolved that to
minimize the burden of contact hours, total credits of entire program will be of 68 , wherein focus is
not only on providing knowledge but also on building skills, attitude and self learning. Therefore in
the present cu rriculum skill based laboratories are made mandatory across all disciplines of
engineering, which will definitely facilitate self learning of students. The overall credits and
approach of curriculum proposed in the present revision is in line with AICTE mo del curriculum.
The present curriculum will be implemented for Master of Computer Engineering from the academic
year 202 2-23.

Dr. S.K.Ukarande Dr AnuradhaMuzumdar
AssociateDean Dean
Faculty of ScienceandTechnology Faculty of Science and Technology
Univer sityof Mumbai University of Mumbai

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Incorporation and Implementation of Online Contents
fromNPTEL/ Swayam Platform
The curriculum revision is mainly focused on knowledge component, skill based activities
and project based activities. Self -learning opportunities are provided to learners. In the revision
process this time in particular Revised syllabus of ‗C‘ scheme wherever possible additional
resource links of platforms such as NPTEL, Swayam are appropriately provided. In an earlier
revisio n of curriculum in the year 2012 and 2016 in Revised scheme ‗A' and ‗B' respectively,
efforts were made to use online contents more appropriately as additional learning materials to
enhance learning of students.
In the current revision based on the recomme ndation of AICTE model curriculum overall credits
are reduce d to 68 , to provide opportunity of self -learning to learner. Learners are now getting
sufficient time for self -learning either through online courses or additional projects for
enhancing their kno wledge and skill sets.
The Principals/ HoD‘s/ Faculties of all the institute are required to motivate and encourage
learners to use additional online resources available on platforms such as NPTEL/ Swayam.
Learners can be advised to take up online courses, on successful completion they are required to
submit certification for the same. This will definitely help learners to facilitate their enhanced
learning based on their interest.


Dr. S.K.Ukarande Dr AnuradhaMuzumdar
AssociateDean Dean
Faculty of Scienc eandTechnology Faculty of Science andTechnology
Universityof Mumbai University of Mumbai

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Preface by Board of Studies in
Computer Engineering
Dear Students and Teachers, we, the members of Board of Studies Computer Engineering, are very
happy to present Master of Computer Engineering syllabus effective from the Academic Year 202 2-
23. We are sure you will find this syllabus interesting, challengi ng, fulfil certain needs and
expectations.
Computer Engineering is one of the most sought -after courses amongst engineering students. The
syllabus needs revision in terms of preparing the student for the professional scenario relevant and
suitable to cater the needs of industry in present day context. The syllabus focuses on providing a
sound theoretical background as well as good practical exposure to students in the relevant areas. It
is intended to provide a modern, industry -oriented education in Compute r Engineering. It aims at
producing trained professionals who can successfully acquainted with the demands of the industry
worldwide. They obtain skills and experience in up -to-date the knowledge to analysis, design,
implementation, validation, and documen tation of computer software and systems.
The revised syllabus is finalized through a brain storming session attended by Heads of Departments
or senior faculty from the Department of Computer Engineering of the affiliated Institutes of the
Mumbai University . The syllabus falls in line with the objectives of affiliating University, AICTE,
UGC, and various accreditation agencies by keeping an eye on the technological developments,
innovations, and industryrequirements.
The salient features of the revised sylla bus are:
1. Reduction in credits to 68 is implemented to ensure that students have more time for
extracurricular activities, innovations, and research.
2. The department Optional Courses will provide the relevant specialization within the
branch to a student.
3. Introduction of Skill Based Lab to showcase their talent by doing innovative projects that
strengthen their profile and increases the chance of employability.
4. Students are encouraged to take up part of course through MOOCs platform SWAYAM
We would like to place on record our gratefulness to the faculty, students, industry experts and
stakeholders for having helped us in the formulation of this syllabus.
Board of Studies in Computer Engineering
Prof.Sunil Bhirud : Chairman
Prof.SunitaPatil : Member
Prof. LeenaRagha :Member
Prof.SubhashShinde :Member
Prof.MeeraNarvekar :Member
Prof.SuprtimBiswas : Member
Prof.SudhirSawarkar : Member
Prof.Dayanand Ingle :Member
Prof.SatishKet :Member

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Program Structure for ME Computer Engineering, (Rev.2 022)
University o f Mumbai
Semester –I

Course Code
Course Name Teaching Sche
me
(ContactHour
s) Credits Assigned
The
ory Pract Tut Theory Pract Tut Total
ME-CSC101 Algorithm & Complexity 03 --- --- 03 --- --- 03
ME-CSC102 Advance Computer Network
andDesign 03 --- --- 03 --- --- 03
ME-CSDLO -X Department Level Optional
Course -1 03 --- --- 03 --- --- 03
ME-CSDLO -X Department Level Optional
Course -2 03 --- --- 03 --- --- 03
ILO-I Institute Level Optional Course -I 03 --- --- 03 --- --- 03
ME-CSL101 Computational Laboratory -I -- 02 -- 01 --- -- 01
ME-CSL102 Skill Based Lab -I -- 04 -- 02 --- -- 01
Total 15 06 -- 18 -- -- 18

Course
Code Course
Name ExaminationScheme
Theory
TW Oral/
Pract Total InternalAssessm
ent End
Sem.
Exam Exam
Duration
( inHrs) Test1 Test2 Avg.
ME-CSC101 Algorithm & Complexity 20 20 20 80 3 -- --- 100
ME-CSC102 Advance Computer Network
and Design 20 20 20 80 3 -- --- 100
ME-CSDLOX Department Level Optional
Course -1 20 20 20 80 3 -- --- 100
ME-CSDLO X Department Level Optional
Course -2 20 20 20 80 3 -- --- 100
ILO-I Institute Level Optional Course -I 20 20 20 80 3 -- --- 100
ME-CSL101 Computational Laboratory -I --- --- --- ---- ---- 25 25 50
ME-CSL102 Skill Based Lab -I --- --- --- ---- ---- 50 50 100
Total 100 100 100 400 ---- 75 75 650

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Program Structure for ME Computer Engineering, (Rev.2022 )
University of Mumbai
Semester –I
CourseCode Department Level Optional
Course -1 CourseCode Institute Level Optional Course -
I
ME-CSDLO11 Logic & Automated Reasoning ILO1011 Product Lifecycle Management
ME-CSDLO12 Database Systems: Design and
Implementation ILO1012 Reliability Engineering
ME-CSDLO13 Computational Intelligence ILO1013 Management Information System
ME-CSDLO14 Modern Operating System ILO1014 Design of Experiments
Department Level Optional
Course -2 ILO1015 Operation Research
ME-CSDLO 15 Component Based System Design ILO1016 Cyber Security and Laws
ME-CSDLO 16 ICT for Social Cause ILO1017 Disaster Management &
Mitigation Measures
ME-CSDLO17 Internet of Everything ILO1018 Energy Audit and Management
ME-CSDLO 18 Web Application Security ILO1019 Development Engineering

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Program Structure for ME Computer Engineering , (Rev.2022 )
University of Mumbai
Semester –II

Course Code
Course Name Teaching Scheme
(ContactHours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CS201 Cloud Computing and Services 03 --- --- 03 --- --- 03
ME-CS202 Exploratory Data Analytics and
Visualization 03 --- --- 03 --- --- 03
ME-CSDLO -X Department Level Optional
Course -3 03 --- --- 03 --- --- 03
ME-CSDLO -X Department Level Optional
Course -4 03 --- --- 03 --- --- 03
ILO-II Institute Level Optional Course -
II 03 --- --- 03 --- --- 03
ME-CSL201 Computational Laboratory -II -- 02 -- 01 --- -- 01
ME-CSL202 Skill Based Lab -II -- 04 -- 02 --- -- 02
Total 15 06 --- 18 -- -- 18

Course
Code Course
Name ExaminationScheme
Theory
TW Oral/
Pract Total InternalAssessme
nt End
Sem.
Exam Exam
Duration
( inHrs) Test1 Test2 Avg.
ME-CSC201 Cloud Computing and Services 20 20 20 80 3 -- --- 100
ME-CSC202 Exploratory Data Analytics and
Visualization 20 20 20 80 3 -- --- 100
ME-CSDLO X Department Level Optional
Course -3 20 20 20 80 3 -- --- 100
ME-CSDLO X Department Level Optional
Course -4 20 20 20 80 3 -- --- 100
ILO-II Institute Level Optional Course -II 20 20 20 80 3 -- --- 100
ME-CSL201 Computational Laboratory -II --- --- --- ---
- ---- 25 25 50
ME-CSL20 2 Skill Based Lab -II --- --- --- ---
- ---- 50 50 100
100 100 100 400 ---- 75 75 650

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Program Structure for ME Computer Engineering , (Rev.2022 )
University of Mumbai
Semester –II

CourseCode Department Level Optional
Course –3 CourseCode Institute Level Optional Course -
II
ME-CSDLO 21 Ethical Hacking & Digital
Forensic ILO2021 Project Management
ME-CSDLO 22 Data Storage & Retrieval ILO2022 Finance Management
ME-CSDLO 23 Advance Soft Computing ILO2023 Entrepreneurship Development and
Management
ME-CSDLO 24 Semantic Web &Social Network
Analysis ILO2024 Human Resource Management
Department Level Optional
Course –4 ILO2025 Professional Ethics and CSR
ME-CSDLO25 Blockchain Technology &
Applications ILO 2026 Research Methodology
ME-CSDLO26 Storage Area Network ILO2027 IPR and Patenting
ME-CSDLO27 Design Thinking ILO2028 Digital Business Management
ME-CSDLO28 Metaverse ILO2029 Environmental Management

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Program Structure for ME Computer Engineering , (Rev.2022 )
University of Mumbai
Semester –III
CourseCo
de
CourseName Teaching
Scheme (ContactHo
urs) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-CSMP301 MajorProject:
Dissertation –I -- 20 -- -- 10 -- 10
Total 00 20 -- 00 10 -- 10

CourseCo
de

CourseName ExaminationScheme
Theory
Term
Work
Pract/
Oral
Total InternalAssessment End
Sem.
Exam Exam.
Duration
(inHrs) Test-1 Test-2 Avg
ME-CSMP301 MajorProject:
Dissertation –I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100
OnlineCreditCourses
CourseCo
de
CourseName Teaching
Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-CSOCC301 OnlineCreditCourse -I -- -- -- -- -- -- 3
ME-CSOCC301 OnlineCreditCourse -II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06

Note : It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or
similarplatform approved by university. The learner shall opt for one course each from OCC - I and OCC -II. These
twocoursesshallbecompletedinanysemesterIorIIorIII,butnotlateren doftheSemesterIII.ThecreditsearnedwithOCC -
IandOCC -IIshallbeaccountedinthethirdsemestergrade -sheet.Thelearnershallbeallowedtotakeupthesecourses from his
or her institute or organization/ industry where his / her major project is carried out. The studentssha ll complete the
courses and shall qualify the exam conducted by the respective authorities/ instructor from theplatform. The fees for
any such courses and the corresponding examination shall be borne by the learner.
Universityshallmakeaprovisionthatcredite arnedwithOCC -IandOCC -IIshallbeaccountedinthethirdsemestergrade -
sheetwithactual namesofthe courses.
Online Credit C ourse I: The learner shall opt for the course in the domain of Research Methodology or Research &
Publication Ethics orIPR.The optedcourseshall beof3 creditsofequivalentnumberofweeks.
Online Credit Course II: The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor
from the institute. Theopted course shall be of3creditsofequivalentnumber ofweeks.

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Program Structure for ME Computer Engineering, (Rev.2022 )
University of Mumbai
Semester –IV
Course
Code
CourseName Teaching
Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-ITMP401 MajorProject:
Dissertation –II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16

Course
Code

CourseName ExaminationScheme
Theory
Term
Work
Pract/
Oral
Total InternalAssessment End
Sem.
Exam Exam.
Duration
(inHrs) Test-1 Test-2 Avg
ME-ITMP401 MajorProject:
Dissertation –II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits: 68

Note: TheDissertationsubmissionshallnotbepermittedtillthelearnercompletesallthecreditrequirementsofMEc
ourse.

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Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-
CSC101 Algorithm and
Complexity 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite: Engineering Mathematics, Data Structures, Algorithms
Course Objectives:
1 To analyze the algorithms using space and time complexity.
2 To teach problem formulation and problem solving skills .
3 To acquire knowledge of various applied algorithms.
4 To understand selected topics in algorithms that have found applications in areas such as
geometric modelling, graphics, robotics, vision, computer animation, etc.
Course Outcomes: At the end of the course student should be able to
1 Analyze various algorithms with practical applications along with their resource
requirements.
2 Explore advanced design and analysis techniques.
3 Explain major graph algorithms and their analyses.
4 Analyze linear programming and string matching algorithms.
5 Identify NP -complete problems and offer solutions to solve such problems.

Sr.
No. Module Detailed Content Hours

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1 Foundations Algorithms, Analysing algorithms, Growth of Functions -
Asymptotic notation, Mathematical Background for
algorithm analysis
Recurrences, The substitution method, The recursion -tree
method, The master method, Randomized algorithms 3
2 Advanced
Design and
Analysis
Techniques Dynamic Programming -Elements of dynamic
programming, Matrix -chain multiplication
Greedy Algorithms -Elements of the greedy strategy,
Huffman codes
Amortized Analysis -Aggregate analysis, The accounting
method, The potential method, Dynamic tables 5
3 Graph
Algorithms Single -Source Shortest Paths -The Bellman -Ford algorithm,
Dijkstra‘s algorithm, Difference constraints and shortest
paths
All-Pairs Shortest Paths -The Floyd -Warshall algorithm
Maximum Flow -Flow networks, The Ford -Fulkerson
method, Maximum bipartite matching 7
4 Computational
Geometry Line-segment properties, determining whether any pair of
segments intersects,
Finding the convex hull, Finding the closest pair of points 6
5 NPC and
Approximation
Algorithms NP-Completeness: NP -completeness and reducibility, NP -
completeness proofs, NP -complete problems,
Approximation algorithms: The vertex -cover problem, The
traveling -salesman problem, The set -covering problem,
The subset -sum problem 8
6 Applied
Algorithms Number -Theoretic: Number Theoretic notion, Greatest
common divisor, The Chinese remainder theorem, RSA
String Matching Algorithms: The Rabin -Karp algorithm,
The Knuth -Morris -Pratt algorithm, Longest common
subsequence
Parallel Algorithm: Mesh Algorithm and its applications
Probabilistic Algorithm: Game Theoretic Techniques
Randomized Algorithms: Monte Corlo and Las Vegas
algorithms 10

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39

Text Books:
1 Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, ―Introduction
to Algorithms‖, PHI, India Second Edition
2 Horowitz, Sahani and Rajsekaran , Fundamentals of Computer Algorithms‖, Galgotia
3 Rajeev Motwani, PrabhakarRaghavan, ― Randomized Algorithm‖, Cambridge University Press
Reference Books:
1 Aho, Hopcroft, Ullman: The Design and analysis of algorithms‖, Pearson Education
2 Vijay V. Vajirani, ―Approximation Algorithms‖,Springer.
3 S. K. Basu, ―Design Methods and Analysis of Algorithm‖, PHI
4 SanjoyDasgupta, Christos Papadimitriou, UmeshVazirani, ―Algorithms‖, Tata McGraw -
Hill Edition
Internal Assessment:
Assessment consists of two tests out of which; one should be compulsory class test
(onminimum 02 Modules) and the other is either a class test or assignment on live
problems or course project .
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four question need to be solved.
In question paper weightage of each mod ule will be proportional to number of
respective lecture hours as mention in the syllabus.

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Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSC102 Advanced Computer
Network and Design 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite: Computer Network
Course Objectives:
1 To study the problem of congestion control and service integration in TCP/IP networks
focusing on protocol design, implementation and performance issues.
2 To understand the principles of network design and enable students to setup, configure and
interconnect an IP network.
3 To debate the current trends and leading research in the computer networking area.
Course Outcomes: At the end of the course student should be able to
1 Understand the theoretical issues in protocol design and apply it to Quality of service
innetworks
2 Understand issues in the design of network processors and apply them to design network
systems
3 Simulate working of wired and wireless networks to understand networking concepts.
4 Develop solutions by applying knowledge of mathematics, probability, and statistics to
network design problems.
5 Understand the basics of software defined networking and explore research problems in that

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area.

Module Content Hrs
1 Internetworking 8
1.1 Congestion control and Resource allocation : Issues of Resource
Allocation, Queuing Disciplines: FIFO, Fair Queuing, TCP Congestion
Control: Additive Increase/Multiplicative Decrease, Slow Start, Fast
Retransmit and Fast Recovery.
1.2 Congestion -Avoidance Mechanisms : DECbit, Random Ea rly Detection
(RED), Source -Based Congestion Avoidance, Quality of Service:
Application Requirements, Integrated Services (RSVP), Differentiated
Services (EF, AF).
2 Routing 7
IPv4 Routing Principles, Routing Information Protocol (RIP), IGR P and
EIGRP, OSPF for IPv4 and IPv6, Border Gateway Protocol (BGP),
EIGRP, High Availability Routing .
3 IPv6 5
IPv4 deficiencies, patching work done with IPv4, IPv6 addressing,
multicast, Anycast, ICMPv6, Neighbour Discovery, Routing, Resource
Reservation, IPv6 protocols.
4 Network Design 10
4.1 Designing the network topology and Solutions -Top down Approach:
PPDIOO – Network Design Layers - Access Layer, Distribution Layer,
Core/Backbone Layer, Access Layer Design, Backbone Network Design.
4.2 Enterprise LAN Design: Ethernet Design Rules and Campus Design best
practices, Virtualisation and Data Center Design, Wireless LAN Design,
WAN Design: Traditional WAN Technologies, VPN Design.
5 Ad Hoc Wireless Networks 5
MAC Protocols for Ad Hoc Wireless Networks: MACA/W, MACA -BI,
DPRMA, MACA/PR. Routing Protocols for Ad Hoc Wireless Networks:
DSDV, DSR, AODV, ZRP. Transport Layer: ATCP.
6 Software Defined Networking and OpenFlow 4
Introduction to Software Defined Networking, Control and Data Planes,
SDN Controllers, In troduction to Openflow Protocol, Network Function
Virtualization -Concepts.

Page 19

Total 39

Text Books:
1 Larry L. Peterson and Bruce S. Davie, Computer Networks: A Systems Approach,
Elsevier, Fourth Edition.
2 Philip M. Miller, TCP / IP: The Ultimate Protocol Guide Applications, Access and Data
Security - Vol 2, Wiley
3 Pete Loshin, IPv6: Theory, Protocols and Practice, Morgan Kaufmann, 2nd Edition, 2004
4 Anthony Bruno, Steve Jordan, Official Cert Guide: CCDA, Cisco Press,
5 C. Siva Ram Murthy, B.S. Manoj, Ad Hoc Wireless Networks: Architectures and, Prentice
Hall, 2004.
6 Thomas D NAdeau and Ken Grey, Software Defined Networking, O'Reilly, 2013
Reference Books:
1 William Stallings, High -Speed Networks and Internets, Pearson Education, 2nd Edition,
2002.
2 James F. Kurose, Keith W. Ross, ―Computer Networking, A Top -Down Approach
Featuring the Internet‖, Third Edition, Addison Wesley, 2004.
3 Pujolle, Software Networks: Virtualization , SDN, 5G, Security, Wiley,
Internal Assessment:
Assessment consists of two tests out of which; one should be compulsory class test
(onminimum 02 Modules) and the other is either a class test or assignment on live
problems or course project .
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four question need to be solved.
In question paper weightage of each module will be proportional to number of
respective lecture hours as mention in the syllabus.

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Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-
CSDLO11 Modern Operating
System 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite: Operating System
Course Objectives:
1 To learn the architectural differences and issues related to Operating System.
2 To get a comprehensive knowledge of the distributed systems and Real time operating
system.
3 To get a thorough knowledge of database operating systems and cloud operating System.
Course Outcomes: At the end of the course student should be able to
1 Apply the principles and concepts in analyzing and designing Operating System.
2 Demonstrate the Mutual exclusion, Deadlock detection and agreement protocols of
Distributed operating system
3 Analyze the performance and reliabili ty of different Operating Systems.
4 Analyze and solve concurrency control problems in database operating system

Sr.
No. Module Detailed content Hours
1 Introduction Types of Operating Systems. 4

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Architectures and design issues of Network operating
system, DOS, Middleware, RTS, DBOS.
Introduction to process, Concurrent processes, Critical
Section problems, other synchronization problems.
2 Distributed
operating Systems,
Scheduling and
synchronization Scheduling: Issues in load distributing, Components of load
distributing algorithms, Stability, Load distributing
algorithms, Performance Comparison, selecting a s uitable
load sharing Algorithm.
Synchronization: Physical and logical clocks.
Distributed Mutual Exclusion: Introduction, Classification
of Mutual Exclusion algorithms, Mutual Exclusion
Algorithms.
Distributed Deadlock: Introduction, deadlock handling
strategies, Deadlock detection: Issues and resolution,
Control Organizations, Centralized algorithms, Distributed
algorithms, Hierarchical algorithms.
9
3 Distributed Fault
Handling Agreement Protocol: System Model, Classification,
Solution to Byzantine Agreement Problem.
Fault Recovery: Concepts, Classification of failures,
Backward error recovery, Recovery in concurrent Systems,
Consistent Check Points, Synchronous and Asynchronous
check pointing and recovery.
Fault tolerance: Issues, Atomic actions an d committing,
Commit Protocols, Non -blocking Commit protocols,
Voting protocols and Dynamic Voting Protocols. 8
4 Real Time
Operating Systems Types of Real time tasks, Timing Constraints, Modeling
Timing Constraints.
Task Scheduling: Types of tasks and their characteristics,
Task Scheduling, Clock driven Scheduling, Hybrid
Schedulers, Event driven Scheduling, EDF Scheduling,
Rate Monotonic Algorithm
Resource Handling: Resource Sharing, Priority Inversion,
PIP, PCP, HLP .
Scheduling real time tasks in distributed systems 9
5 Database Operating
systems Concurrency control: Database systems, Concurrency
control model of database systems, Problem of
Concurrency Control, serializability theory, Distributed
Database Systems
Concurrency Control Algorithms : Basic synchronization
Algorithms, Lock based, Timestamp based and Optimistic
Algorithms,
Concurrency Control Algorithms : Data Replication 04
6 Case Study DOS: Mach, Amoeba
RTOS : UNIX as RTOS, Windows as RTOS.
Mobile OS.
Cloud OS 04
Total 39

Text books:

Page 22

1. Mukesh Singhal, Niranjan G.Shivaratri, "Advanced concepts in operating systems:
Distributed,Database and multiprocessor operating systems" MC Graw Hill education.
2. Rajib Mall, ― Real-Time Systems: Theory and Practice‖, Pearson education.

Reference Books:
1. Andrew S.Tanenbaum, "Modern Systems Principles and Paradigms". PHI.
2. Pradeep K.Sinha, "Distributed Operating S ystem -Concepts and design", PHI.
3. Andrew S.Tanenbaum, "Distributed Operating S ystem", Pearson Education.
4. Jane W. S. Liu, ―Real Time Systems‖, Pearson education .

Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
In question paper weightage of each module will be proportional to number of respective lecture hours
as mention in the syllabus .

Page 23

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO12 Logic &
Automated
Reasoning 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Course Objectives :
1. Represent mathematical and other knowledge using logical formalism.
2. Understand theoretical concepts and results that form the basis of current automated
reasoning systems.
3. Understand advanced techniques of resolution theorem proving and be able to use them.

Course Outcomes : At the end of the course student should be able to
1. Comprehend syntax and semantics of Propositional logic, first -order logic, inference
system, proof, soundness and completeness.
2. Apply various deductive algorithms and models for reasoning
3. Emphasize various techniques for automated reasoning, theorem proving

Sr.
No. Module
Detailed Contents Hours
1 Introduction
to Logic Mathematical Logic, Propositional Logic, First -Order Logic,
Modal Logic, Temporal Logic,
Program Verification 04
2 Propositional
Logic Formulas, Models, Tableaux: Propositional Formulas,
Interpretations , Logical Equivalence, Sets of Boolean
Operators, Satisfiability, Validity and Consequence, Semantic
Tableaux, Soundness and Completeness
Resolutions: Conjunctive Normal Form, Clausal Form,
Resolution Rule, Soundness and Completeness of Resolution 10

Page 24

Binary Decision Diagrams: Motivation Through Truth Tables,
Definition of B inary Decision Diagrams, Reduced Binary
Decision Diagrams
3 First-Order
Logic Formulas, Models, Tableaux: Relations and Predicates,
Formulas in First -Order Logic, Interpretations, Logical
Equivalence, Semantic Tableaux, Soundness and Completion
of Sema ntic Tableaux
Resolution: Ground Resolution, Substitution , Unification,
General Resolution, Soundness and Completeness of General
Resolution
Introduction to Logic Programming: Prolog 10
4 Reasoning
Methods SAT Solvers: Properties of Clausal Form,
Davis -Putnam Algorithm, DPLL Algorithm
Deductive Systems: Gentzen System, Hilbert System
Terms and Normal Forms : First -Order Logic with Functions,
PCNF and Clausal Form, Herbrand Models 07
5 Automated
Reasoning Automated Reasoning for Web system,
Semantic Web applications,
REWERSE -automated reasoning method and tools, 04
6 Theorem
Proving Some exposure to theorem proving systems such as Prolog,
PVS, SPIN 04
Total 39
Text Books
1. Mordechai Ben -Ari, Mathematical Logic for Computer Science, Third Edition, Springer
2 Arindama Singh, Logics for Computer Science, Prentice Hall of India.
Reference Books

1. Handbook of Practical Logic and Automated Reasoning, John Harrison, Cambridge
University Press
2. Michael Huth and Mark Ryan, Logic in Computer Science: Modelling and Reasoning about
Systems, Cambridge University Press.

Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.
Note: One Case Study to be given for Module 5 and 6 based on the above concepts.

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

In question paper weightage of each module will be proportional to num ber of respective lecture hours
as mention in the syllabus .

Page 25

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theor
y Pract Tut Theory Pract Tut Total
ME-CSDLO13 Database
Systems: Design
and
Implementation 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite: Basic knowledge of Database Management System.
Course Objectives:
1. To introduce principles and foundations of distributed database.
2. To impart knowledge of query processing and optimization.
3. To introduce the concept of document -oriented database.
4. To create awareness about potential security threats to a database and mech anisms to handle it.
5. Understand the usage of advanced data models for real life application.
Course Outcomes: At the end of the course student should be able to
1. Design distributed database for better resource management.
2. Understand and analyse Query proc essing and optimization techniques.
3. Describe developments in database technology.
4. Apply appropriate security techniques to the database systems.
5. Implement advanced data models for real life applications.

Sr No Module Content hours
1. Introduction,
Distributed Centralized versus non centralized Databases, Homogeneous and
Heterogeneous DDBMS and their comparison,
Distributed database design:C oncept, Objective of Data
Distribution, Data Fragmentation, The allocation of fragment, 5

Page 26

database design Concepts of replication servers
Transparencies in Distributed Database Design
2. Query
Processing and
Optimization Query Processing Problem, Objectives of Query Processing,
Complexity of Relational Algebra Operations, Layers of Query
Processing
Query Decomposition and Data Localization: Query
Decomposition, Lo calization of Distributed Data . 8
3. Document
oriented database
Object Oriented
Database: Need of object -oriented database, Impedance matching problem
between OO languages and Relational database, Case study db4O
Document Oriented Database: Need of Document Oriented
database, difference between Document Oriented Database and
Traditional databas e, Types of encoding XML, JSON, BSON,
Representation XML, Json Objects. Case study on doc oriented
based such a Mariadb 6
4. Advanced data
models Temporal data models, Aspects of valid time, Bitemporal time
and bi -temporal time with examples of each. Spatial model:
Types of spatial data models - Raster, Vector and Image 6
5. Data Security
Introduction to
Database Security
Issues; Authentication and authorization, Database auditing,
Discretionary Access Control Based on Granting and Revoking
Privileges, Mandatory Access Control and Role -Based Access
Control for Multilevel Security Introduction to Statistical
Database Security 6
6. Advance
Databases MYSQL Postgres, Mobile databases, NoSQL, Native XML
databases (NXD), Document oriented databases, Graph database
Federated Databases: Architecture, Development task, System
operation 8
Total 39

Books Recommended:
Text books:
1. Elmasri&Navathe, ―Fundamentals of Database Systems‖ IV edition. PEARSON Education.
2. Korth, Silberschatzsudarshan, ―Database systems, concepts‖ 5th edition McGraw Hill
3. Ruosell J.T. Dyer, Learning MySQL and Mariadb.
4. M. Tamer Ozsu , Patrick Valduriez, ―Princ iples of Distributed Database‖, Pearson Education India

Reference Books:
1. Chhanda Ray, ―Distributed Database System‖, Pearson Education India.
2. Hector Garcia -Molina, Jeffery D. Ullman, Jennifer Widom, ―Database system Implementation‖
3. Thomas M.Connolly Carolyn Begg, Database Systems: A practical Approach to Design, Implementation and
Management, 4/e.
Online References:
Federated Database: https://dev.mysql.com/doc/refman/8. 0/en/federated -description.html

Page 27

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO14 Computational
Intelligence 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Course Objective s:
1. To explore the various computational Intelligence techniques
2. To become familiarized with Neural Network, Fuzzy logic & evolutionary techniques
3. To learn to apply computational Intelligence to different applications

Course Outcome s:At the end of the course student should be able to
1. Understand the importance of computational Intelligence.
2. Analyze various computational Intelligence technology
3. Design and implement various intelligent system.

Prerequisite: Soft Computing, Mathematics
Sr.
No. Module Detailed content Hours
1 Introduction to
Computational
Intelligence
paradigms Artificial Neural Networks, Fuzzy Systems,Genetic
Algorithms, Swarm Intelligence,Artificial Immune
System,Applications 5
2 Artificial Neural
Networks & SVM Basic models of ANN: NN Architecture, MP Neuron,
Linear separability, activation functions, types of
learning
Learning Rules: Hebbian, Perceptron, Delta, Winner -
take all 10

Page 28

Supervised NN: Perceptron Network: SDPTA, SCPTA,
MCPTA, Adaline networks
Support Vector Machine: Binary SVM
3 Fuzzy Systems Fuzzy Sets: Definition, operations, properties, relations,
characteristics, membership functions, defuzzification. 7
4 Optimization GA: Selection, Encoding, Crossover, Mutation,
Examples.
Swarm Intelligence:
Single Solution Particle Swarm Optimization:
Guaranteed Convergence PSO, Social -Based Particle
Swarm Optimization, Hybrid Algorithms, Sub -Swarm
Based PSO, Multi -Start PSO Algorithms, Repelling
Methods, Binary PSO,
Ant Algorithm: Simple Ant Colony Optimization 8
5 Artificial Immune
System Natural Immune System: Classical view, Antibodies and
antigens,Arti ficial Immune Models:
Artificial Immune system algorithm, classical view
models, CLONALG 4
6 Applications Character Recognition , Genetics Algorithm in game
playing , Color Recipe prediction - Single MLP approach
ANT algorithm/Swarm Intelligence – TSP, Best path
finding 5
Total 39

Text Books:
1. Andries P. Engelbrecht, Computational Intelligence an Introduction, Wiley, 2nd Edition
2. S.N. Sivanandam, S.N. Deepa, Principles of Soft Computing, Wiley, 2nd edition
3. Jacek M. Zurada, Introduction to Artificial Neural Systems, West Publication
4. Theodoridis and Koutroumbas , Pattern Recognition, 4th Edition, Academic Press
Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test
(onminimum 02 Modules) and the other is either a class test or assignment on live problems or course project .
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.


In question paper weightage of each module will be proportional to number of respective lecture
hours as mention in the syllabus.

Page 29

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO15 Comp onent
Based System
Design 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite:
Course Objectives:
1 To gain the knowledge of current component models in terms of their design,
management and related issues.
2 A detailed study of the concepts and engineering principles of software component and
component -based software systems.
3 A clear understanding of use of a robust Integrated Development Environment for
software development and how to navigate around this environment us ing the tools
available.
4 Develop skills for programming in an object -oriented environment, using class
components and their properties and methods to build new software products.
Course Outcomes: At the end of the course student should be able to
1 Understanding ofc omponent basedsystems , theirp urpose and scope.
2 AnalyzeSoftware Engineering practices related to C omponent Based Development .
3 Assess how the component models measure up to the goals of component based
development.
4 Gain in depth knowledge of f undamental properties of components, technology and
architecture and middleware .

Page 30

5 Apply design Of Software Component Infrastructures and frameworks.
6 Develop and deploy large -scale componentbased Web applications.

Module Content Hrs
1 Component Definition 06
1.1 Definition of Software Component and its Elements.
1.2 Component Models and Component Services: Concepts and Principles,
COTS Myths and Other Lessons Learned in Component -Based Software
Development , Roles for Component -Based Development .
1.3 Common High -Risk Mistakes in Component -Based Software Engineering
(CBSE), CBSE Success Factors: Integrating Architecture, Process, and
Organization.
2 Software Engineering Practices 04
2.1 The Practice of Software Engineering .
2.2 From Subroutines to Subsystems: Component -Based Software
Development .
3 The Design of Software Component Infrastructures 07
3.1 Software Components and theUML .
3.2 Component Infrastructures: Placing Software Components in Context ,
Business Components .
3.3 Components and Connectors: Catalysis Techniques for Defining
ComponentInfrastructures, An Open Process for Component -Based
Development, Designing Models ofModularity and Integration .
4 The Management of Component -Based Software Systems 07
4.1 Measurement and Metricsfor Software Components, The Practical Reuse
of Software Components, Selecting the right COTS Software .
4.2 Importance of requirements , Software Component Project
Management Processes, The Trouble with Testing Software Components .
4.3 Configuration Management and Component Libraries, The Evolution,
Maintenance and Management ofComponent -Based Systems.

Page 31

5 Component Technologies 08
5.1 Overview of the CORBA Component Model, Transactional
COM+ .
5.2 Designing Scalable Applications, The Enterprise JavaBeans Component
Model,Choosing Between COM+, EJB, and CCM .
5.3 Software Agents as Next Generation SoftwareComponents .
6 Component framework and development 07
6.1 Connectors, contexts, CLR contexts and channels.
6.2 Black Box component framework, directory objects, cross development
environment.
6.3 Component oriented programming, component design and
implementation tools, testing tools, assembly tools.
Total 39

Reference Books:
1 Addison Wilsey,‖ Component -Based Development: Principles and Planning for Business
Systems‖, 2010 .
2 Lau, K. -K. (Kung -Kiu), ―An introduction to component -based software development‖,
World Scientific Publishing ,2018 .
3 Clemens Szyperski, ―Component Software: Beyond Object -Oriented Programming‖,
Pearson Education, 2003 .
4 Don Box, Dorling Kingsley, Essential COM (2006) .

Assessment :
Internal Assessment:
Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or
course project.
End Semester Theory Examination:
1 Question paper will comprise a total of six questions.

Page 32

2 All question carries equal marks
3 Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4 Only Four questions need to be solved.
5 In question paper weightage of each module will be proportional to number of respective
lecture hours a s mentioned in the syllabus.

Page 33

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO16 ICT for Social
Cause 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives
1 To appreciate various theoretical and disciplinary perspectives towards deploying ICT system
for development of society .
2 To illustrate different ways by which information can be communicated.
3 To demonstrate an understanding for acquiring data securely for developing an ICT system.
4 To illustrate data storage techniques and formulate knowledge from the raw data.
5 To formulate policies and strategies for ICT system.
6 To design various application using ICT .

Sr.
No. Course Outcomes : At the end of the course student should be able to
1 To identify opportunities and challenges for developing ICT systems.
2 To identify and access the ways by which information can be communicated.
3 To identify methods of capturing data securely for developing an ICT system.
4 To store and analyze the data captured and generate knowledge from the raw data.

Page 34

5 To devise policies and strategies for ICT system.
6 To design various application using ICT .


Sr.
No. Module Detailed Content Hours
0 Prerequisite Introduction to ICT

1 Introduction and
Basics of ICT Review of ICT history and growth,
importance of ICT in societal development identifying
opportunities for using ICT,
learning from failures Drivers and barriers for ICT
development
ICT in developing countries – opportunities for developments
and challen ges Creating an ICT – handling text, data and
media. 4
2
Communication
Techniques in
ICT Radio and TV Techniques,
Mobile Techniques – CDMA, Mobile wireless WiMAX,
Advanced wireless technologies, Bluetooth Satellite
Techniques – architecture AND working principles
GPS/GPRS Cloud computing –Introduction, cloud services,
Cloud service providers,collaborative techniques like sharing
ideas through blogs, forums, online communities etc safe
transmission of data 9
3
Data acquisition
in ICT Recognition systems RFID,OMR
Location recognition Data acquisition process for MEMS
devices Sensors – Programming, communication with cloud.
Acquiring data from internet and social media. Formation of
social groups and interaction analysis Facebook, Twitter,
Blogs, Forums , mailing lists etc controlling access to
confidential information 9
4
Data and
Knowledge
Management in
ICT Data storage and management , content management system ,
identity management
Knowledge elicitation , Knowledge representation and
visualization techniques Knowledge Engineering
Methodology Auditing knowledge management Data storage
and disposal of data Linking knowledge management to
business performance 8

Page 35

5
Defining policies
for administering
ICT ICT policies and e -Strategies,approach to ICT policy
formulation and e -Strategy development,e -Readiness
assessment, identifying priority areas and developing action
plans.National Policy on ICT in India. 5
6
ICT applications Study of ICT applications in various domains such as
Agriculture, Healthcare, Education, social studies, Finance,
Law, life science. 4

Total 39

Text Books:
1. Lechman, E. (2015). ICT Diffusion in Developing Countries: Towards a New Concept of
Technological Takeoff. Germany: Springer International Publishing.
2. ffordability Issues Surrounding the Use of ICT for Development and Poverty Reduction. (2018).
United States: IGI Global.
3. Koh, S. C. L., Maguire, S. (2009). Information and Communication Technologies Management in
Turbulent Business Environments. United Kingdom: Information Science Reference.
4. The Development Dimension ICT s for Development: Improving Policy Coherence. (2010). Ukraine:
OECD Publishing.
5. Gorica, K., Kor dhaTolica, E., Sevrani, K. (2015). Information Society Development Through ICT
Market Strategies: Albania Versus Other Developing Countries. Germany: Springer International
Publishing .
6. ICT Futures:Delivering Pervasive Real -time And Secure Services Edited By Paul Warren , John
Davies, David Brown , Wiley Publication .
7. ICT Policy Formulation and e -Strategy Development Strategy Development - A Comprehensive
Guidebook by Richard Labelle, Asia -Pacific Development Information Programme .
Online References:
1. BLI-224: ICT Fundamentals - https://onlinecourses.swayam2.ac.in/nou22_lb08/preview
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsory class test (on minimum
02 Modules) and the other iseitheraclasstest orassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks,
out of these any four questions to beattempted by students. Minimum 80% syllabus should
be covered inquestionpapersofendsemesterexamination.

Page 36

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO17 Internet for
Everything 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.
No
. Course Objectives
1 To describe the concepts of Objects in IOT, IOT Identifier, IOT Technologies.
2 To d iscuss and elaborate RFID architecture, RFID Tag and Reader along with the protocols
used to solve the RFID issues faced in RFID applications.
3 To d escribe the connecting and networking nodes in a secure communication with the help
of protocols such as MQTT, CoAP, and REST.
4 To explain Hadoop MapReduce and demonstrate its usage for real time batch data Analysis
using Apache Oozie, Apache Spark and Apache Storm.
5 To summarize the use of ML algorithms in IoT Based application in Healthcare and Smart
Transportation.

Page 37

6 To e laborate and show how the analysis and the evaluation is carried out over the data
received through sensors in IOE to ensure security in IOE applications .

Sr.
No. Course Outcomes : At the end of the course student should be able to
1 Identify the Objects in IOT, list the IOT Identifiers and know the different
technologies.
2 Explain RFID architecture, list the Components, identify RFID Tag and Reader
along with the protocols used to solve the RFID issues faced in RFID applications .
3 Design applications using the communication protocols such as MQTT, CoAP, and
REST.
4 Use Hadoop MapReduce for real time batch data Analysis using Apache Oozie,
Apache Spark and Apache Storm.
5 Recall the ML algorithms used in IoT Based applications in Healthcare and Smart
Transportation.
6 Analysis and evaluate the data received through sensors in IOE and Security in IOE
applications .

Sr.
No Module Detailed Contents Hours
0 Prerequisites IOT Lab, Sensor Lab, Wireless Network.
1. Introduction to
IOE Introduction and History of IOT, Objects in IOT
IOT Identifier, IOT Technologies
Self-Learning Topics: History of IOT, Compare IOT & IOE
5
2. Radio -
frequency
identification
(RFID)
Technology Introduction to RFID and Principles of RFID
RFID Components and RFID Tag and Reader
RFID Transponder and RFID architecture
RFID Middleware
Protocols: Tree protocols, Tree splitting algorithms, Binary search
Algorithms
RFID Challenges and Applications 7

Page 38

Self-Learning Topics: Binary search Algorithms
3. Wireless
Sensor
Networks Connecting and networking nodes, Securing communication,
standards, IP Addressing
Protocols - MQTT, CoAP, REST
Self-Learning Topics : Industrial WSN Standards 6
4. Hadoop
MapReduce Introduction to Hadoop MapReduce, Architecture of Hadoop and
Hadoop Ecosystem
Hadoop MapReduce for Batch Data Analysis
Apache Oozie, Apache Spark, Apache Storm
Real-time Data Analysis Using Apache Storm
Self-Learning Topics: Apache Hadoop Setup 7
5 IoT with ML Machine Learning in IoT Based Healthcare Applications, General
Architecture of H -IoT
Overview of Algorithms and Security of health data, Machine
Learning in IoT Based Smart Transportation, ML algorithms to
support Smart Transportation
Self-Learning Topics: Deep Learning in IOT 6
6. Security in
IoE Common Challenges in OT Security. How IT and OT Security
Practices and Systems Vary
Formal Risk Analysis Structures: OCTAVE and FAIR
Convergence of IoE and Blockchain its security challenges
Self-Learning Topics: Trust based Recommender Systems in IoT 5
Total 39
Text Book
1 HakimaChaouchi, Internet of Things connecting objects to the web. Wiley.
2 ArshdeepBhaga and Vijay Madisetti, Internet of Things - A Hands -on-Approach.
3 David Hanes, Gonzalo Salgueiro, Patrick Grossetete, Rob Barton, Jerome Henry,
―IoT Fundamentals – Networking Technologies, Protocols, and Use Cases for the Internet of
Things‖, 1 st Edition, Pearson Education, Cisco Press, 2017
Reference Books
1 Samuel Greengard, The Internet of Things (MIT Press).

Page 39

2 HakimaChaouchi, The Internet of Things - Connecting objects to the web. Wiley Publications.
3 Hervechabanne, RFID and the Internet of Things. Wiley Publications.
Reference Papers
1 H. K. Bharadwaj et al., "A Review on the Role of Machine Learning in Enabling IoT Based
Healthcare Applications," in IEEE Access, vol. 9, pp. 38859 -38890, 2021, doi:
10.1109/ACCESS.2021.3059858.
2 Zantalis, F.; Koulouras, G.; Karabetsos, S.; Kandris, D. A Review of Machine Learning and IoT
in Smart Transportation. Future Internet 2019, 11, 94. https://doi.org/10.3390/fi11040094
3 L. Wei, J. Wu, C. Long and Y. -B. Lin, "The Convergence of IoE and Blockchain: Security
Challenges," in IT Professional, vol. 21, no. 5, pp. 26 -32, 1 Sept. -Oct. 2019, doi:
10.1109/MITP.2019.2923602.
Useful Links
1 https://nptel.ac.in/courses/106/105/106105166/
2 https://nptel.ac.in/courses/108/108/108108098/
3 https://nptel.ac.in/courses/106/105/106105195/
4 https://www.coursera.org/specializations/IoT

Assessment:
Internal Assessment Test:
Assessmentconsistsof twotestsoutofwhich;oneshouldbecompulsory class test (on minimum
02 Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks,
out of these any four questions to beattempted by students. Minimum 80% syllabus should
be covered inquestionpapersofendsemesterexamination.

Page 40

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO18 Web
Application
Security 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives:
1 To reveal the underlying in web application.
2 To understand the browser security principles.
3 To understand web applications vulnerabilities.
4 To understand web application mitigations.
5 To identify and aid in fixing any security vulnerabilities during the web development
process.
6 To understand the security principles in developing a reliable web application.

Sr. No. Course Outcomes : At the end of the course student should be able to
1 To understand the security principles in developing a reliable web application
2 Identify the various types of security issues in web browser.
3 Identify the various types of threats in developing a web application.
4 Identify the various types of mitigation measures of web applications.
5 Apply the security principles in developing a reliable web application.
6 Use industry standard tools for web application security.

Prerequisite: Introduction to Information & Network Security.

Page 41

Sr.
No. Module Detailed Content Hours
0 Prerequisite Overview of Web Applications:
Introduction history of web applications interface ad structure
benefits and drawbacks of web applications Web application Vs
Cloud application 2
I Web Application
Security
Fundamentals Security Fundamentals: Input Validation - Attack Surface
Reduction Rules of Thumb - Classifying and Prioritizing
Threads
Self-learning Topics: Cookies, Access Control. 4
II
Browser Security
Principles Origin Policy - Exceptions to the Same -Origin Policy -
Cross -Site Scripting and Cross -Site Request Forgery -
Reflected XSS - HTML Injection
Self-learning Topics: HTTPS, HTTP Proxies. 4
III Web Application
Vulnerabilities Understanding vulnerabilities in traditional client server
application and web applicat ions, client state manipulation,
cookie based attacks, SQL injection, cross domain attack
(XSS/XSRF/XSSI) http header injection. SSL
vulnerabilities and testing - Proper encryption use in web
application - Session vulnerabilities and testing - Cross -site
request forgery
Self-learning Topics: SSH Tunneling , Cleaning traces
,Cleaning the event logAdvanced phishing attacks 8
IV Web Application
Mitigations HTTP request, HTTP response, rendering and events , html
image tags, image tag securi ty, issue, java script on error ,
Javascript timing , port scanning , remote scripting , running
remotecode, frame and iframe , browser sandbox, policy
goals, same origin policy, library import, domain relaxation
Self-learning Topics: Nikto, OWASP ZAP. 7
V
Secure Website
Design Secure website design: Architecture and Design Issues for Web
Applications, Deployment Considerations Input Validation,
Authentication, Authorization , Configuration Management,
Sensitive Data, Session Management, Cryptography, Parameter
Manipulation , Exception Manage ment, Auditing and Logging,
Design Guidelines, Forms and validity, Technical
implementation
Self-learning Topics: Wapiti , SQL Map 7
VI Cutting Edge
Web Application
Security Clickjacking - DNS rebinding - Flash security - Java applet
security - Single -sign-on solution and security - IPv6
impact on web security
Self-learning Topics:
https://owasp.org/www -
community/Free_for_Open_Source_Application_Security_
Tools 4

Page 42

Text Books:
1. Sullivan, Bryan, and Vincent Liu. Web Application Security, A Beginner‘s Guide. McGraw Hill
Professional, 2011.
2. Stuttard, Dafydd, and Marcus Pinto. The Web Application Hacker‘s Handbook: Finding and Exploiting
Security Flaws. John Wiley Sons, 2011
References:
1. OReilly Web Security Privacy and Commerce 2nd Edition 2011
2. Professional Pen Testing for Web application, Andres andreu, wrox press
3. Carlos Serrao, Vicente Aguilera, Fabio Cerullo, ―Web Application Security‖
Springer; 1st Edition.
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsory class test (on minimum
02 Modules) and the other iseither aclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks,
out of these any four questions to beattempted by students. Minimum 80% syllabus should
be covered inquestionpapersofendsemesterexamination.

Page 43

Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSL101 Computational
Laboratory -I -- -- -- --- 02 -- 01
Examination Scheme
Theory Examination
Term
Work Pract /
Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
--- --- --- --- 25 25


Module Detailed Content Lab
Session
Algorithm
and
Complexity  Implementation of algorithms which demonstrate greedy strategy,
dynamic programming, Flow network, parallel algorithm and string
matching (any two). 05
Networking
Design  Install tool CISCO Packet Tracer Student Edition (open -source).
Explore this tool and use it to design an Internetwork using switches,
routers and the concept of VLAN. Configure different routing
protocols like RIP, OSPF, EIGRP etc . on the network you have
designed and observe the performance. Test your network using
―ping‖ and ―show ip route‖.
 Install mininet (open -source). Create virtual architecture for SDN
openvswitch(s), host(s), controllers(s) and test various topologies
using basic commands like ping.
Optionally connect mininetopenvswitch with external controllers like
opendaylight (open -source). 05

Page 44

Course Code Course Name Credits
ILO 1 011 Product Life Cycle Management 03

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

Sr. No. Detailed Contents Hrs
01 Introduction to Product Lifecycle Management (PLM): Product Lifecycle
Management (PLM), Need for PLM, Product Lifecycle Phases, Opportunities of
Globalization, Pre -PLM Environment, PLM Paradigm, Importance & Benefits
of PLM, Widespread Impact of PLM, Focus and Application, A PLM Project,
Starting the PLM Initiative, PLM Applications
PLM Strategies: Industrial strategies, Strategy elements, its identification,
selection and implementation, Developing PLM Vision and PLM Strategy ,
Change management for PLM 10
02 Product Design: Product Design and Development Process, Engineering
Design, Organization and Decomposition in Product Design, Typologies of
Design Process Models, Reference Model, Product Design in the Context of the
Product Development Process, Relation with the Development Process Pl anning
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 09
03 Product Data Management (PDM): Product and Product D ata, PDM systems
and importance, Components of PDM, Reason for implementing a PDM system,
financial justification of PDM, barriers to PDM implementation 05

Page 45

04 Virtual Product Development Tools: For components, machines, and
manufacturing plants, 3D CAD systems and realistic rendering techniques,
Digital mock -up, Model building, Model analysis, Modeling and simulations in
Product Design, Examples/Case studies 05
05 Integration of Environmental Aspects in Product Design: Sustainable
Development, Design fo r 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 Desi gn 05
06 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and
Framework of Life Cycle Assessment, Phases of LCA in ISO Standards, Fields
of Application and Limitations of Life Cycle Assessment, Cost Analysis and the
Life Cycle Approach, General Framework for LCCA, Evolution of Models for
Product Life Cycle Cost Analysis 05
Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
5. Questi on paper will comprise of total six questions , each carrying 20 marks
6. Question 1 will be compulsory and should cover maximum contents of the curriculum
7. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
8. Only Four questions need to be solved .

REFERENCES:
1. John Stark, ―Product Lifecycle Management: Paradigm for 21st Century Product Realisation‖,
Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, Antonino Risitano, ―Product Design for the environment -A life cycle
approach‖, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, ImmonenAnselmie, ―Product Life Cycle Management‖, Springer, Dreamtech,
ISBN: 3540257314
4. Michael Grieve, ―Produc t Lifecycle Management: Driving the next generation of lean thinking‖, Tata
McGraw Hill, 2006, ISBN: 0070636265

Page 46

Course Code Course Name Credits
ILO 1 012 Reliability Engineering 03

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

Sr. No Detailed Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye‘s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation,
Standard Deviation, Variance, Skewness and Kurtosis. 08
02 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time
To Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time
Dependent Failure Rate, Weibull Model. Distribution functions and reliability
analysis. 08
03 System Reliability: System Configurations: Series, parallel, mixed
configuration, k o ut of n structure, Complex systems. 05
04 Reliability Improvement: Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
System Reliability Analysis – Enumeration method, Cut -set method, Success
Path method, Decomposition method. 08
05 Maintainability and Availability: System downtime, Design for
Maintainability: Maintenance requirements, Design methods: Fault Isolation and
self-diagnostics, Parts standardization and Interchangeability, Modularization
and Acc essibility, Repair Vs Replacement.
Availability – qualitative aspects. 05
06 Failure Mode, Effects and Criticality Analysis: Failure mode effects analysis,
severity/criticality analysis, FMECA examples. Fault tree construction, basic
symbols, development of functional reliability block diagram, Fau1t tree 05

Page 47

analysis and Event tree Analysis




Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each mo dule in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .


REFERENCES:
1. L.S. Srinath, ―Reliability Engineering‖, Affiliated East -Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, ―Reliability and Maintainability Engineering‖, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, ―Engineering Reliability‖, John Wiley & Sons, 1980.
4. P.D.T. Conor, ―Practical Reliability Engg.‖, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, ―Reliability in Engineering Design‖, John Wiley & Sons.
6. Murray R. Spiegel, ―Probability and Statistics‖, Tata McGraw -Hill Publishing Co. Ltd.

Page 48

Course Code Course Name Credits
ILO 1 013 Management Information System 03

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

Sr. No. Detailed Contents Hrs
01 Introduction to Information Systems (IS): Computer Based Information Systems,
Impact of IT on organizations, Importance of IS to Society. Organizational
Strategy, Competitive Advantages and IS 4
02 Data and Knowledge Management: Database Approach, Big Data, Data
warehou se and Data Marts, Knowledge Management
Business intelligence (BI): Managers and Decision Making, BI for Data analysis
and Presenting Results 7
03 Ethical issues and Privacy: Information Security. Threat to IS, and Security
Controls 7
04 Social Computing (SC): Web 2.0 and 3.0, SC in business -shopping, Marketing,
Operational and Analytic CRM, E -business and E -commerce – B2B B2C.
Mobile commerce. 7
05 Computer Networks Wired and Wireless technology, Pervasive computing,
Cloud computing mod el. 6
06 Information System within Organization: Transaction Processing Systems,
Functional Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applications: Various System development
life cycle models. 8

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests

Page 49

First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be sol ved.


REFERENCES:
1. Kelly Rainer, Brad Prince, Management Information Systems, Wiley
2. K.C. Laudon and J.P. Laudon, Management Information Systems: Managing the Digital Firm, 10th
Ed., Prentice Hall, 2007.
3. D. Boddy, A. Boonstra, Managing Information Systems: Strategy and Organization, Prentice Hall,
2008

Page 50

Course Code Course Name Credits
ILO 1 014 Design of Experiments 03

Objectives:
1. To understand the issues and principles of Design of Experiments (DOE)
2. To list the guidelines for designing experiments
3. To become familiar with methodologies that can be used in conjunction with experimental designs for
robustness and optimization

Outcomes: Learner will be able to…
1. Plan data collection, to turn data into information and to make decisions that lead to appropri ate action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experiments

Sr. No Detailed Contents Hrs
01 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design
1.3 Guidelines for Designing Experiments
1.4 Response Surface Methodology 06
02 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regression Models
2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression
2.5 Prediction of new response observation
2.6 Regression model diagnostics
2.7 Testing for lack of fit 08
03 Two -Level Factorial Designs
3.1 The 22 Design
3.2 The 23 Design
3.3 The General2k Design
3.4 A Single Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design,
3.6 Blocking in the 2k Factorial Design
3.7 Split -Plot Designs 07
04 Two -Level Fractional Factorial Designs
4.1 The One -Half Fraction of the 2k Design
4.2 The One -Quarter Fraction of the 2k Design
4.3 The General 2k-p Fractional Factorial Design
4.4 Resolution III Designs
4.5 Resolution IV and V Designs
4.6 Fractional Factorial Split -Plot Designs 07

Page 51

05 Response Surface Methods and Designs
5.1 Introduction to Response Surface Methodology
5.2 The Method of Steepest Ascent
5.3 Analysis of a Second -Order Response Surface
5.4 Experimental Designs for Fitting Response Surfaces 07
06 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
6.3 Robust design examples 04

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

REFERENCES:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook , Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3rd edition, John Wiley
& Sons, New York, 2001
2. D.C. Montgomery, Design an d Analysis of Experiments, 5th edition, John Wiley & Sons, New York,
2001
3. George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation
and Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scintists, John Wiley and Sons Inc.
ISBN: 0 -471-39054 -2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D.
T.Voss

Page 52

Course Code Course Name Credits
ILO 1 015 Operations Research 03

Objectives:
1. Formulate a real -world problem as a mathematical programming model.
2. Understand the mathematical tools that are needed to solve optimization problems.
3. Use mathematical software to solve the proposed models.
Outcomes: Learner will be able to…
1. Understand th e theoretical workings of the simplex method, the relationship between a linear program
and its dual, including strong duality and complementary slackness.
2. Perform sensitivity analysis to determine the direction and magnitude of change of a model‘s optimal
solution as the data change.
3. Solve specialized linear programming problems like the transportation and assignment problems,
solve network models like the shortest path, minimum spanning tree, and maximum flow problems.
4. Understand the applications of integer programming and a queuing model and compute important
performance measures

Sr. No. Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, , Structure of the
Mathematical Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem,
Requirements of LPP, Mathematical Formulation of LPP, Graphical method,
Simplex Method Penalty Cost Method or Big M -method, Two Phase Method,
Revised simplex method, Duality , Primal – Dual construction, Symmetric and
Asymmetric Dual, Weak Duality Theorem, Complimentary Slackness Theorem,
Main Duality Theorem, Dual Simplex Method, Sensitivity Analysis
Transportation Probl em: 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 Prob lem: Introduction, Types of Integer Programming
Problems, Gomory‘s cutting plane Algorithm, Branch and Bound Technique .
Introduction to Decomposition algorithms. 14
02 Queuing models : queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service, finite and
infinite population 05
03 Simulation : Introduction, Methodology of Simulation, Basic Concepts, 05

Page 53

Simulation Procedure, Application of Simulation Monte -Carlo
Method: Introduction, Monte -Carlo Simulation, Applications of Simulation,
Advantages of Simulation, Limitations of Simulation
04 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Management employment smoothening,
capital budgeting, Stage Coach/Shortest Path, cargo loading and Reliability
problems. 05
05 Game Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution of games
with saddle points, dominance principle. Rectangular games without saddle
point – mixed strategy for 2 X 2 games. 05
06 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks,
EOQ with Shortage, Probabilistic EOQ Model, 05

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .


REFERENCES:
1. Taha, H.A. "Operations Research - An Introduction", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "Operations Research: Principles and Practice", John
Willey and Sons, 2nd Edition, 2009
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations R esearch", Tata McGraw Hill, 2002.
4. Operations Research, S. D. Sharma, KedarNath Ram Nath -Meerut
5. Operations Research, KantiSwarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons

Page 54

Course Code Course Name Credits
ILO 1 016 Cyber Security and Laws 03

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

Sr. No. Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime and information security, Classifications of cybercrime, Cybercrime
and the
Indian ITA 2000, A global Perspective on cybercrimes. 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg,
Cyber stalking, Cyber café and Cybercrimes, Botnets, Attack vector, Cloud
computing, Proliferation of Mobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in
Mobile and Wireless Computing Era, Secu rity 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 9
03 Tools and Methods Used in Cyberline
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) 6
04 The Concept of Cyberspace
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 8
05 Indian IT Act.
Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals Under
the IT Act, 2000, IT Act. 2008 and its Amendments 6
06 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6

Page 55

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .


REFERENCES:
1. Nina Godbole, Sun itBelapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information technology Act, 2000; Bare Act - Professional Book Publishers, New Delhi.
4. Cyber Law & Cyber Crimes By Advocate Pras hant Mali; Snow White Publications, Mumbai
5. Nina Godbole, Information Systems Security, Wiley India, New Delhi
6. Kennetch J. Knapp, Cyber Security &Global Information Assurance Information Science Publishing.
7. William Stallings , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008 - TIFR :
https://www.tifrh.res.in
9. Website for more information , A Compliance Primer for IT professional :
https://www.sans.org/reading -room/whitepapers/compliance/compliance -primer -professionals -33538

Page 56

Course Code Course Name Credits
ILO 1 017 Disaster Management and Mitigation Measures 03

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

Sr.
No. Detailed Contents Hrs
01 Introduction
1.1 Definition of Disaster, hazard, global and Indian scenario, general
perspective, importance of study in human life, Direct and indirect
effects of disasters, long term effects of disasters. Introduction to global
warming and climate change. 03
02 Natural Disaster and Manmade disasters:
2.1 Natural Disaster: Meaning and nature of natural disaster, Flood, Flash
flood, drought, cloud burst, Earthquake, Landslides, Avalanches,
Volcanic eruptions, Mudflow, Cyclone, Storm, Storm Surge, climate
change, global wa rming, sea level rise, ozone depletion
2.2 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards.
Role of growing population and subsequent industrialization,
urbanization and changing lifestyle of human beings in frequent
occurrences of manmade d isasters. 09
03 Disaster Management, Policy and Administration
3.1 Disaster management: meaning, concept, importance, objective of
disaster management policy, disaster risks in India, Paradigm shift in
disaster management.
3.2 Policy and administration:
Importance and principles of disaster management policies, command
and co -ordination of in disaster management, rescue operations -how to
start with and how to proceed in due course of time, study of flowchart
showing the entire process. 06
04 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation and execution of
emergency management program. Scope and responsibilities of National
Institute of Disaster Management (NIDM) and National disaster 06

Page 57

management authority (NDMA) in India. Methods and measures to
avoid disasters, Management of casualties, set up of emergency facilities,
importance of effective communication amongst different agencies in
such situations.
4.2 Use of Internet and softwares for effective disaster management.
Applications of GIS, Remote sensing and GPS in this regard.
05 Financing Relief Measures:
5.1 Ways to raise finance for relief expenditure, role of government agencies
and NGO’s in this process, Legal aspects related to finance raising as
well as overall management of disasters. Various NGO’s and the works
they have carried out in the past on t he occurrence of various disasters,
Ways to approach these teams.
5.2 International relief aid agencies and their role in extreme events. 09
06 Preventive and Mitigation Measures:
6.1 Pre -disaster, during disaster and post -disaster measures in some events in
general
6.2 Structural mapping: Risk mapping, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
6.3 Non Structural Mitigation: Community based disaster preparedness, risk
transfer and risk f inancing, capacity development and training, awareness
and education, contingency plans.
6.4 Do‘s and don‘ts in case of disasters and effective implementation of relief
aids. 06

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

REFERENCES:
1. ‗Disaster Management‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by O.S.Dagur, published
by Centre for land warfare studies, New Delhi, 2011.
3. ‗Introduction to International Disaster Management‘ by Damon Copolla, Butterworth Heinemann
Elsevier Publications.
4. ‗Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‗Disaster management & rehabilitation‘ by Rajdeep Dasgupta, Mittal Publications, New Delhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh, Rawat
Publications

Page 58

7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Hall (India) Publications.

(Learners are expected to refer reports published at national and International level and updated information
available on authentic web sites)

Page 59

Course Code Course Name Credits
ILO 1 018 Energy Audit and Management 03

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

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

Sr. No Detailed Contents Hrs
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy
Security, Energy Conservation and its Importance, Energy Conservation Act -
2001 and its Features. Basics of Energy and its various forms, Material and
Energy balance 04
02 Energy Audit Principles:
Definition, Energy audit - need, Types of energy audit, Energy management
(audit) approach -understanding energy costs, Bench marking, Energy
performance, Matching energy use to requirement, Maximizing system
efficiencies, Optimizin g the input energy requirements, Fuel and energy
substitution. Elements of monitoring& targeting; Energy audit Instruments; Data
and information -analysis.
Financial analysis techniques: Simple payback period, NPV, Return on
investment (ROI), Internal rate of return (IRR) 08
03 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control;
Power factor improvement, Energy efficient equipments and appliances, star
ratings.
Energ y efficiency measures in lighting system, Lighting control: Occupancy
sensors, daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, induction
motors, motor retrofitting, soft starters, variable speed drives. 10
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribution losses, Steam leakag es,
Steam trapping, Condensate and flash steam recovery system. 10

Page 60

General fuel economy measures in Boilers and furnaces, Waste heat recovery,
use of insulation - types and application. HVAC system: Coefficient of
performance, Capacity, factors affecting Refr igeration and Air Conditioning
system performance and savings opportunities.
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on: Motors and
variable speed drive, pumps, HVAC system calculations; Lighting System:
Installed Load Efficacy Ratio (ILER) method, Financial Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non -Conventional and Renewable Energy Sources 03

Assessment :

Internal Assessment for 20 marks :
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respe ctive lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions, each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four questions need to be solved.


REFERENCES:
1. Handbook of Electrical Installation Practice, Geofry Stokes, Blackwell Science
2. Designing with light: Lighting Handbook, By Anil Valia, Lighting System
3. Energy Management Handbook, By W.C. Turner, John Wiley and Sons
4. Handbook on Energy Audits and Management, edited by A. K. Tyagi, Tata Energy Research
Institute (TERI).
5. Energy Management Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont Press
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
9. www.bee -india.nic.in

Page 61

Course Code Course Name Credits
ILO1 019 Development Engineering 03

Objectives:
1. To understand the characteristics of rural Society and the Scope, Nature and Constraints of rural
Development.
2. To study Implications of 73rd CAA on Planning, Development and Governance of Rural Areas
3. An exploration of human values, which go into making a ‗good‘ human being, a ‗good‘ professi onal,
a ‗good‘ society and a ‗good life‘ in the context of work life and the personal life of modern Indian
professionals
4. To understand the Nature and Type of Human Values relevant to Planning Institutions

Outcomes: Learner will be able to…
1. Apply knowl edge for Rural Development.
2. Apply knowledge for Management Issues.
3. Apply knowledge for Initiatives and Strategies
4. Develop acumen for higher education and research.
5. Master the art of working in group of different nature.
6. Develop confidence to take up rural project activities independently

Sr.
No. Module Contents Hrs
01 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 reconstructi on and
Sarvodayaprogramme 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 serv ices. 08
02 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 Committee - linkage
between Panchayati Raj, participation and rural development 04
03 Rural Development Initiativ es 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 a nd 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. 06
04 Post 73rd Amendment Scenario 73rd Constitution Amendment Act, 04

Page 62

including - XI schedule, devolution of powers, functions and finance;
Panchayati Raj institutions - organizational linkages; Recent changes in
rural local planning; Gram Sabha - revitalized Panc hayati Raj;
Institutionalization; resource mapping, resource mobilization including
social mobilization; Information Technology and rural planning; Need
for further amendments.
05 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 o f 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. 10
06 Ethics Canons of ethics; ethics of virtue; ethics of duty; ethics of
responsibility; Work ethics;
Professional ethics; Ethics in planning profession, researc h and education 04

Assessment:

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately
40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of respective lecture
hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Ques tion 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four questions need to be solved

References:
1. ITPI, Village Planning and Rural Development, ITPI, New Delhi
2. Thooyavan, K.R. Human Settlements: A 2005 MA Publication, Chennai
3. GoI, Constitution (73rd GoI, New Delhi Amendment) Act, GoI, New Delhi
4. Planning Commission, Five Year Plan s, Planning Commission
5. Planning Commission, Manual of Integrated District Planning, 2006, Planning Commission

Page 63

New Delhi
6. Planning Guide to Beginners
7. Weaver, R.C., The Urban Complex, Doubleday.
8. Farmer, W.P. et al, Ethics in Planning, American Planning Associ ation, Washington.
9. How, E., Normative Ethics in Planning, Journal of Planning Literature, Vol.5, No.2, pp. 123 -150.
10. Watson, V. , Conflicting Rationalities: -- Implications for Planning Theory and Ethics, Planning
Theory andPractice, Vol. 4, No.4, pp.395 – 407

Page 64

Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSC2 01 Cloud Computing
and Services 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives:
1 To learn the perspective of cloud computing and virtualization
2 Tounderstand the idea behind mobile cloud computing
3 To determine the meaning of mobile offloading
4 To assess the concept of green cloud computing
5 To explore the resource allocation techniques and various business models
6 To analyze various cloud and mobile computing environments for real world application

Sr. No. Course Outcomes : At the end of the course student should be able to
1 Understand the concepts behind cloud computing and virtualization.
2 Apply the knowledge of mobile cloud computing to various applications
3 Determine the various techniques of loading in cloud computing applications.
4 Design applications to make the systems energy efficient.
5 Select the required cloud computing resources and develop a business model.
6 Apply various techniquesto develop various high ended mobile cloud computing
applications

Page 65

Sr. No. Module Detailed Content Hours
0 Prerequisite
Cloud Computing models, Virtualization, Primary and
Secondary services offered by the cloud.
I Introduction to
Cloud Computing
and virtualization Virtualization: Need for virtualization, Features and
types of virtualization, Hypervisors and its types.
Cloud Computing : Introduction to Cloud Computing,
Layers and Types of Clouds, Fea tures of Cloud
computing system , Cloud Infrastructure Manageme nt,
Infrastructure as a Service , Platform as a Service ,
software as a service, Challenges and Risks, Secondary
services.
Self-learning Topics: Case study on Service model
Dockers, OSGi (Application level virtualization library) 06
II Mobile cloud
computing
Mobile cloud computing: Need for Mobile cloud
computing system, Definition, Architecture, Challenges,
Characteristics and Benefits of Mobile cloud computing.
Mobile cloud computing service framework
Mobile cloud solutions, Mobil e cloud service models,
Mobile Cloud computation, Mobile Cloud storage,
Mobile Cloud security and privacy, Mobile Cloud
Computing context awareness, Mobile as a service
consumer, Mobile as a service provider, Mobile as
service broker.
Self-learning Topics:
Mobile cloud computing platforms and software. 06
III Offloading in
Mobile Cloud
Computing

Definition of offloading, composition, migration
Introduction to offloading , Offloading Decision, Types
of Offloading, Topologies of Offloading, Offloading in
Cloud Computing and in Mobile Cloud Computing:
Similarities and Differences, Adaptive Computation
Offloading from Mobile Devices, Cloud Path Sele ction
for Offloading, Mobile Data Offloading Using
Opportunistic Communication, Three -Tier Architecture
of Mobile Cloud Computing, Requirements of Data
Offloading, Performance Analysis of Offloading
Techniques Multi -Cloud Offloading in Mobile Cloud
computi ng environment, Mobile cloud computing 06

Page 66

offloading models
Self-learning Topics: Mobile cloud offloading
framework: clonecloud, Thinkair, MAUI, Cuckoo,
weblet
IV Green Mobile
Cloud Computing Introduction , Requirements and issues , Devices used,
Computational offloading, Resource management,
Service provisioning, Green location sensing, Energy
saving.
Self-learning Topics: Measures taken by IT industries
towards green computing and challenges in adopting
green computing. 06
V Resource
allocation and
business model for
mobile cloud
computing Resource allocation in mobile cloud computing: Simple,
dynamic and adaptive resource allocation models.
Challenges and issues in resource allocation, Techniques
in mobile cloud computing.
Mobile cloud computing business models: Advantages,
issues and applications.
Business Models for social mobile cloud
Self-learning Topics: Business model requirements,
cloud computing business model 06
VI Applications of
Mobile cloud
computing Mobile cloud media computing applications: Location
identification, Human Tracking, Mobile learning
applications, Cloud streaming applications, Vehicle
monitoring and Biometric applications.
Tips for creating cloud mobile applications, Context
aware mobil e computing system,
Self-learning Topics: Cross cloud communication
applications, Elastic application models 06

Text Books:
1. Rajkumar Buyya , James Broberg,Andrzej M. Goscinski , Cloud Comp uting: Principles and Paradigms
2. KaileshJayaswal, Jagannath Kallakurchi, Donald J Houde , Cloud computing
3. Dijiang Huang and Huijun Wu , Mobile cloud computing : foundation and service model
4. Debashis De , Mobile computing architecture, algorithm and application
References:
1. Barrie Sosinsky , Cloud computing Bible

Page 67

2. Dr Kumar Saurabh , Cloud computing
Lab Work:
1. Demonstrate how to build ML/AL capabilities on cloud for mobile applications
2) Explain how mobile offline data synchronization can be done using any cloud platform
Assessment:
Internal Assessment Test:
Assessme ntconsistsoftwotestsoutofwhich;oneshouldbecompulsory class test (on minimum 02
Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks, out of
these any four questions to beattempted by students. Minimum 80% syllabus should be covered
inquestionpapersofendsemesterexamination.

Page 68

Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSC2 02 Exploratory Data
Analytics and
Visualization 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Prerequisite: Engineering Mathematics, Data Structures, Algorithms
Course Objectives:
1 To understand the foundations of the Data Science process, methods and techniques
2 To represent and organize knowledge about large heterogeneous data collections
3 To use mathematical models and tools for large -scale data analysis and reasoning
4 To work and evaluate Data at Scale
Course Outcomes: At the end of the course student should be able to
1 Appreciate the science of statistics and the scope of its potential applications
2 Summarize and present data in meaningful ways
3 Select the appropriate statistical analysis depending on the research question at hand
4 Understand and verify the underlying assumptions of a particular analysis
5 Effectively and clearly communicate results from analyses performed to others

Module Content Hrs
1 Introduction to Data Science 09

Page 69

1.1 Data science process: Defining goal, retrieving data, preprocessing data,
exploratory data analysis, model building and data visualization, Ethical
issues in data science.
1.2 Probability: review of probability theory, normal distribution, sampling
1.3 Simple Linear Regression , F-test and t -test for Simple Linear
Regression , Residual Plots ,Outliers and Influence Points , Multiple linear
regression , F-test and t -tests for Multiple Linear Regression .
2 Predictive and Descriptive Models 09
2.1 Descriptive Modeling: Principal components analysis (PCA), singular
value decomposition (SVD), probabilistic PC A, applying PCA to new
data, PCA for data interpretation., EM algorithm for PCA, Independent
Component Analysis (ICA), Maximum likelihood estimation using EM.
2.2 Predictive Modeling: Predictive modeling process, supervised and
unsupervised learning, parametric and nonparametric models, business
intelligence, challenges in using predictive analytics
2.3 Introduction to time series analysis and time series mining, Introduction
to spatio -temporal data, spatio -temporal model, fast dynamic time
warping.
3 Evaluation and Methodology of Data Science 03
3.1 Experimental setups, training, tuning, test data, holdout method, cross -
validation, bootstrap method
3.2 Measuring performance of a model: Accuracy, ROC curves, precision -
recall curves, loss functions for regression
3.3 Interpretation of results: Confidence interval for accuracy, hypothesis
tests for comparing models, algorithms
4 Data Communication and Information Visualization 06
4.1 Data Communication: cost Function, how to Minimize cost function,
coefficients of determination.
4.2 Information visualization: effective information visualization, visual
Encodings, perception of visual cues, data scales, visualizing time series
data, data journalism, dashboards
5 Analysis of Variance (ANOVA) 06
5.1 One-Way Analysis of Variance , F-test for ANOVA , Evaluating Group

Page 70

Differences , Type I and Type II Errors
5.2 Issues with Multiple Comparisons , Assumptions of Analysis of
Variance ,Relationship between One -Way Analysis of Variance and
Regression , One-Way Analysis of Covariance , Two-Way Analysis of
Variance and Covariance
6 Analysis for proportions 06
6.1 One-Sample Tests for Proportions , Significance Tests for a
Proportion ,Confidence Intervals for a Proportion
Two-Sample Tests for Proportions , Confidence Intervals for Differences
in Proportions ,Significance Tests for Differences in Proportions , Effect
Measures , Logistic Regression , Multiple Logistic Regression ,Area under
the ROC Curve
Total 39

Reference Books:
1 Davy Cielen,Meysman,Mohamed Ali, ―Introducing Data Science‖, Dreamtech Press
2 Kevin P. Murphy, ―Machine Learning a Probabilistic Perspective‖, The MIT Press
3 Dean Abbott, ―Applied Predictive Analytics: Principles and Techniques for the
Professional Data Analyst‖, Wiley, 2014
4 Noel Cressie, Christopher K. Wikle , ―Statistics for Spatio -Temporal Data, Wiley
5 Seema Acharya and SubhashiniChellappan, ―Big Data and Analytics‖, Wiley
6 Rachel Schutt and Cathy O‘Neil, ―Doing Data Science‖, O‘Reilly Media
7 Joel Grus, Data Science from Scratch: First Principles with Python, O'Reilly Media
8 Teetor, P. (2011). R cookbook. Sebastopol, CA: O'Reilly. ISBN 9780596809157
9 Chang, W. (2013). R graphics cookbook. Sebastopol, CA: O'Reilly. ISBN 9781449316952
10 Andy Field, Jeremy Miles and Zoe Field. (2012) Discovering Statistics Using R. Publisher:
SAGE Publications Ltd. ISBN -13: 978 -1446200469
11 Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. (2013) An
Introduction toStati stical Learning with Applications in R. Springer

Page 71

Assessment :
Internal Assessment:
Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or
course project.
End Semester Theory Examination:
1 Question paper will comprise a total of six questions.
2 All question carries equal marks
3 Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4 Only Four questions need to be solved.
5 In question paper weightage of each module will be proportional to number of respective
lecture hours as mentioned in the syllabus.

Useful Links
1 Data sets for Machine Learning algorithms: https://www.kaggle.com/datasets
2 https://towardsdatascience.com/machine -learning/home
3 https://onlinecourses.nptel.ac.in/noc21_cs85/preview
4 https://www.openintro.org/stat/

Page 72

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO21 Ethical Hacking
and Digital
Forensics 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Course Objective s:
1. To understand underlying principles and many of the techniques associated with the digital forensic
practices.
2. To explore practical knowledge about ethical hacking Methodology.
3. To develop an excellent understanding of current cyber security issues and ways that user,
administrator and programmer errors can lead to exploitable in securities.
Course Outcome s:At the end of the course student should be able to
1. Understand the concept of ethical hacking and its associated applications in I nforma tion
Communication Technology ( ICT) world .
2. Acquire knowledge of various digital forensic tools and ethical hacking.
3. Interpret security issues in ICT world, and apply digital forensic tools for security and investigation s.
4. Achieve adequate perspective s of digital forensic investigation in various app lications /devices like
Windows /Unix system, mobile, email etc.
5. Generate legal evidences and supporting investigation reports.

Sr.
No. Module Detailed content Hours
1 Ethical
Hacking
Methodology Introduction, Steps of Ethical Hacking: Planning,
Reconnaissance, Scanning, Exploitation, post exploitation
and result reporting.
Ethical Hacking Tool: Metasploit 6Hrs
2 Introduction
to Digital
Forensics The Need for Digital Forensics, Types of Digital Forensics,
Introduction to Incident Response Methodology, Incident
handling steps, Ethics in Digital Forensics. 6 Hrs
3 Data
Collection Live Data Collection from Windows and Unix Systems,
Tools for Forensic Duplication, Collecting Network -based
Evidence, Evidence Handling - Chain of Custody.
Data Collection Forensic Tools : Forensics Toolkit / WinHex 12Hrs
4 Data
Analysis Data Analysis, Investigating Windows, Unix Systems,
Analysing Network Traffic, Investigating Routers, Email
forensics 11Hrs

Page 73

Data Analysis Tools : Nmap /Wireshark /Helix3pro
5 Mobile
Device
Forensics Crime and mobile phones, evidences, forensic procedures,
files present in SIM cards, device data, external memory
dump, and evidences in memory card, operator‘s networks. 6 Hrs
6 Forensic
Investigation
Reporting Investigative Report Template, Layout of an Investigative
Report, Guidelines for Writing a Report 4 Hrs

Text Books:
1. Kevin Mandia, Chris Prosise, ―Incident Response and computer forensics‖, Tata McGraw Hill, 2006.
2. Patrick Engebretson, ―The Basics of Hacking and Penetration Testing, Second Edition: Ethical
Hacking and Penetration Testing Made Easy―, 2nd Edition, Syngress.
3. Investigation Procedures and Response , EC-Council Press.

Reference Books:
1. Peter Stephenson, "In vestigating Computer Crime: A Handbook for Corporate Investigations", Sept
1999.
2. Debra Littlejohn Shinder and Ed Tittel, ―Scene of the Cybercrime: Computer Forensics Handbook‖,
Syngress Publishing, Inc.
3. Eoghan Casey, "Handbook Computer Crime Investigation' s Forensic Tools andTechnology",
Academic Press, 1st Edition, 2001
4. Nina Godbole, ― Information Systems Security‖ , Wiley India, New Delhi
5. William Stallings , ―Cryptography and Network Security‖, Pearson Publication
Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

In question paper weightage of each module will be proportional to number of respective lecture hours
as mention in the syllabus .

Page 74

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO22 Data Storage &
Retrieval 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Course Objective s:
1. Understand need of storage network with its architecture, features, components, topology, benefits
and limitations.
2. Study the impact of downtime in terms of losses and business continuity.
3. Understand the basic terminologies and components in information retrieval systems.
4. Compare and contrast Information Retrieval models.

Course Outcome s:At the end of the course student should be able to
1. Evaluate storage architecture, ISS, SAN, NAS and IP SAN.
2. Design the storage infrastructure for business continuity.
3. Implement and evaluate various Information Retrieval Models .

Sr.No. Module s Detailed content Hours
1 Introduction to
Data Storage Need for storage network, Evolution of storage technology
and architecture, Key Challenges in managing information,
Information lifecycle, Disk drive performance, Fundamental
laws governing disk performance. 04
2 Storage System
Environment
Basic Software for Storage Networking:
Software for SANs, Shared access data managers,
Volumes(RAID): Resilience, performance and flexibility,
File systems and application performance.
Intelligent Storage S ystem :Storage Virtualization: Form of
Virtualization, storage virtualization configurations and
challenges, Types of storage virtualization.
Content -Addressed Storage: Architecture , Object storage and
Retrieval in CAS. 08
3 Storage Storage Area Networks: Fibre Channel , Components of SAN, 10

Page 75

Networking
Technologies FC Connectivity, Fibre Channel Ports, Fibre Channel
Architecture, Zoning, Fibre Channel Login Types, FC
Topologies .
Network -Attached Storage: General -Purpose Servers vs. NAS
Devices, Benefits of NAS, NAS File I/O, Components of
NAS, NAS Implementations, NAS File -Sharing Protocols,
NAS I/O Operations, Factors Affecting NAS Performance and
Availability . IP SAN: iSCSI, FCI P.
4 Business
Continuity and
Enterprise
backup Introduction to Business Continuity:
Information availability, BC planning lifecycle, Failure
Analysis, Business impact analysis.
Enterprise backup software for SAN:
Backup management, Enterprise data protection, Backup
architecture, Backup policies, Minimizing impact of backup,
Lan-free and serverless backup. 06
5 Information
Retrieval Introduction to Information Retrieval(IR), Objectives and
Components of IR system, Taxonomy of IR models,
Information Retrieval process, Documents and Query forms 06
6 Retrieval
Models Query structure, The matching process, Text analysis 5

Text Books :
1. G. Somasundaram, Alok Shrivastava, ―Information Storage and Management‖,EMC Education
services‖, Wiley Publication , Edition 2009
2. Richard Barker, Paul Massiglia, ―Storage Area Network Essentials: A CompleteGuide to
Understanding and Implementing SANs‖, Wiley India
3. Robert R. Korfhage, ―Information Storage and Retrieval‖, Wiley Publication
Reference Books:
1. Ulf Troppen s,Wolfgang Muller -Friedt,RainerWolafka, ―Storage Networks Explained‖ Wiley
Publication
2. Spalding, Robert. Storage Networks: The Complete Reference . Tata McGraw -Hill Education, 2003
3. Manning, Christopher D., Prabhakar Raghavan, and HinrichSchütze. Introduction to information
retrieval . Vol. 1, no. 1. Cambridge: Cambridge university press, 2008.
Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test
(on minimum 02 Modules) and the other is either a class test or assignment on live problems or course
project.
Theory Examination:

Page 76

1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.
In question paper weightage of each module will be proportional to number of respective lecture
hours as mention in the syllabus .





















Subject Code Subject Name Teaching Scheme Credits Assigned

Page 77

(Contact Hours)
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO23 Advanced Soft
Computing 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Course Objectives:
1. To familiarize various soft computing techniques.
2. To relate various soft computing techniques in practical scenario.
3. To understand hybrid approach for application development.

Course Outcomes: At the end of the course student should be able to
1. To demonstrate various soft computing techniques.
2. To apply and analyze different soft computing techniques for solving practical applications.
3. To design an intelligent system for social and technical problems.

Pre-requisite: Basic mathematics, soft computing, Computational intelligence

Sr.
No. Module Detailed content Hours
1 Introduction Differentiate Hard and Soft Computing, Soft
Computing Constituents, Neuro Fuzzy and Soft
Computing Characteristics 2
2 Fuzzy Logic &
Rough Set Theory Fuzzy Relations and Fuzzy Rules, Generalized
Modens Ponens, Defuzzification and its Types
Fuzzy Inference Systems, Design of Fuzzy Controller,
Introduction to Rough Sets 9
3 Supervised Network Error Back Propagation Training Algorithm, Radial
Basis Function 8
4 Unsupervised Network Kohenon Self Organizing Maps, Basic Learning
Vector Quantization, Basic Adaptive Resonance
Theory 9
5 Hybrid Systems and Fuzzy -Neural Systems, Neuro -Genetic Systems 7

Page 78

Introduction to Deep
Learning Fuzzy -Genetic Systems,
Deep Learning : Definition & background, historical
context of deep learning, Three classes of deep
learning network.
6 Applications and Case
Study Automobile Fuel Efficiency using ANFIS
Color Receipe prediction using CANFIS
4

Text Books
1. J.S.R.Jang "Neuro -Fuzzy and Soft Computing" PHI 2003.
2. S. Rajasekaran and G.A. VijaylakshmiPai.. Neural Networks
Fuzzy Logic, and Genetic Algorithms, Prentice Hall of India.
3. Satish Kumar "Neural Networks A Classroom Approach" Tata McGrawHill.
4. S.N.Sivanandam, S.N.Deepa "Principles of Soft Computing" Second Edition, Wiley Publication.
5. Samir Roy, Udit Chakraborty "Introduction to Soft Computing" Pearson Education India.
6. Jacek.M .Zurada "Introduction to Artificial Neural Sytems" Jaico Publishing House.
7. Timothy J.Ross "Fuzzy Logic With Engineering Applications" Wiley.

Reference Books :

1. Fakhreddine O. Karry, Clarence De Silva," Soft Computing and Intelligent systems Design Theory,
Tools and Applications" Pearson 2009.
2. Li Deng and Dong Yu , ‗ Deep Learning Methods and Applications‘.

Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.

Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Ques tions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

In question paper weightage of each module will be proportional to number of respective lecture hours
as mention in the syllabus .



Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total

Page 79

ME-CSDLO24 Semantic Web
&Social Network
Analysis 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Semantic Web provide a graph model (RDF), a query language ( SPARQL) and schema definition
frameworks (RDFS and OWL) to represent and exchange knowledge online. These technologies provide a
whole new way of capturing social networks in much richer structures. Social network Analysis(SNA) tries to
understand and exploit the key features of social networks i n order to manage their life cycle and predict their
evolution. Objective of the course is to understand how to facilitate and enhance the analysis of online social
networks, exploiting the power of semantic web technologies.
Course Objectives :

1. To understand the basics of Semantic Web Technologies
2. To Learn knowledge representation for Semantic Web
3. To understand the importance of Social Network Analysis
4. To understand and use semantic web technologies for social network analysis

Course Outcomes: At the end of the course student should be able to
1. Understand the Semantic Web and Social Networks
2. Understand Electronic sources for network analysis and different ontology languages.
3. Model and aggregate social network data.
4. Design and Analyze social network using semantic web technologies.

Pre-requisites: Web Technologies; Data Structures, Databases, Logic -First order logic, knowle dge
representation, Data Mining ,Distributed Systems.

Sr. No. Module Detailed Contents Hours
1 Introduction Semantic
Web and Social
Networks:
. The Semantic Web - Limitations of the current Web, The
semantic Web Technologies, A Layered Approach , The
emergence of the social web. Social Network Analysis - What
is network analysis, Development of Social Network
Analysis, Key concept s and measures in network analysis 4
2 Semantics and
Knowledge
Representation on the
Semantic Web
Electronic sources for network analysis - Electronic
discussion networks, Blogs and online communities
Structured Web Documents -XML, Describing web
Resources -RDF, RDFSchema, Querying Knowledge
Representation on the Semantic Web -SPARQL 8
3 Modeling and
aggregating social
network data:
Ontologies and their role in the Semantic Web, Ontology
languages for the Semantic Web -RDFS, OWL .State -of-the-
art in network data representation, Ontology Engineering,
Semantic Web Knowledge Management Architecture,
Ontological representation of social individuals, Ontological 9

Page 80

representation of social relationships, Aggregating and
reasoning with social network data.

4 Developing social -
semantic applications:

Building Semantic Web applications with social network
features, Flink: the social networks of the Semantic Web
community, open academia: distributed, semantic -based
publication management 6
5 Extracting and Mining
Communities in social
network and social
network analysis -
Extracting evolution of Web Community from series of web
archive – Detecting communities in social Networks -
Definition of community – Evaluating communities –
methods for community detection and mining –
Semantic based social network analysis.
6
6 Applications of
community mining
algorithms ,
Visualization - Applications of community mining algorithms -Influence and
Homophily, Recommendation, Behavior Analytics,
Visualization - Graph theory – Centrality – Clustering - Node
Edge Diagrams –Matrix Representation –,Benefits of
semantic social networks for communities 6


Text Books:

1. Grigoris Antoniou and Frank van Harmelen ―Semantic Web Primer‖second edition
2. Peter Mika, ―Social Networks and the Semantic Web‖, First Edition, Springer 2007.
3. Reza Zafarani,Mohammad Ali Abbasi,Huan Liu ―Social Media Mining: Introduction‖,Cambridge
University press.

Reference Books:

1. GuandongXu ,Yanchun Zhang and Lin Li, ―Web Mining and Social Networking Techniques and
applications‖, First Edition Springer, 2011.
2. Dion Goh and Schubert Foo, ―Social information Retrieval Systems: Emerging Technologies and
Applications for Searching the Web Effectively‖, IG I Global Snippet, 2008.
3. Max Chevalier, Christine Julien and Chantal Soulé -Dupuy, ―Collaborative and Social Retrieval
and Access: Techniques for Improved user Modelling‖,IGI Global Snippet, 2009.
4. John G. Breslin, Alexander Passant and Stefan Decker, ―The Social Semantic Web‖, Springer,
2009.
5. Charu C. Aggarwal, ―Social Network Data Analytics‖, Springer; 2011.
6. BorkoFurht, ―Handbook of Social Network Technologies and Applications‖, 1st Edition, Springer,
2010.
7. Toby Segaran,colin Evans and Jamie Taylor ―Pro gramming Semantic Web‖, O‘Reilly.
8. Berners Lee, Godel and Turing ―Thinking on the Web ―,Wiley inter science, 2008.
9. Vladimir Geroimenko, ChaomeiChen ―VisualizingtheSemanticWeb‖, Springer 2006.

Internal Assessment: Assessment consists of two tests out of whic h; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.

Theory Examination:
1. Question paper will comprise of total six question

Page 81

2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

In question paper weightage of each module will be proportional to numb er of respective lecture hours
as mention in the syllabus .




















Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO25 Blockchain 03 -- -- 03 -- -- 03

Page 82

Technology and
Applications Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives
1 To get acquainted with the concept of Distributed ledger system and Blockchain.
2 To learn the concepts of consensus and mining in Blockchain through the Bitcoin network.
3 To understand Ethereum and develop -deploy smart contracts using different tools and frameworks.
4 To understand permissioned Blockchain a nd explore Hyperledger Fabric.
5 To understand different types of crypto assets.
6 To apply Blockchain for different domains IOT, AI and Cyber Security.

Sr.
No. Course Outcomes : At the end of the course student should be able to
1 Describe the basic concept of Blockchain and Distributed Ledger Technology.
2 Interpret the knowledge of the Bitcoin network, nodes, keys, wallets and
transactions .
3 Implement smart contracts in Ethereum using different development frameworks.
4 Develop applications in permissioned Hyperledger Fabric network.
5 Interpret different Crypto assets and Crypto currencies
6 Analyze the use of Blockchain with AI, IoT and Cyber Security using case studies.

Sr.
No. Module Detailed Content Hours
0 Prerequisite Hash functions, Public – Private keys, SHA, ECC,
Digital signatures,
I Introduction to
DLT and Fundamental concepts of Distributed systems,
Distributed Ledger Technologies (DLTs) Introduction, 5

Page 83

Blockchain Types of Blockchains
Blockchain: Origin, Phases, Components
Block in a Blockchain : Structure of a Block, Block
Header Hash and Block Height, The Genesis Block,
Linking Blocks in the Blockchain, Merkle Tree.
Self-learning Topics: Blockchain Demo
II Consensus and
Mining What is Bitcoin and the history of Bitcoin, Bitcoin
Transactions, Bitcoin Concepts: keys, addresses and
wallets, Bitcoin Transactions, validation of transactions,
PoW consensus
Bitcoin Network : Peer -to-Peer Network Architecture,
Node Types and Roles, Incen tive based Engineering,
The Extended Bitcoin Network, Bitcoin Relay Networks,
Network Discovery, Full Nodes, Exchanging
―Inventory‖, Simplified Payment Verification (SPV)
Nodes, SPV Nodes and Privacy, Transaction Pools,
Blockchain Forks
Self-learning Topi cs: Study and compare different
consensus algorithms like PoA, PoS, Pbft 8
III Permissionless
Blockchain:
Ethereum Components, Architecture of Ethereum, Miner and
mining node, Ethereum virtual machine, Ether, Gas,
Transactions, Accounts, Patricia Merkle Tree, Swarm,
Whisper and IPFS, Ethash , End to end transaction in
Ethereum,
Smart Contracts : Smart Contract programmin g using
solidity, Metamask (Ethereum Wallet), Setting up
development environment, Use cases of Smart Contract,
Smart Contracts: Opportunities and Risk.
Smart Contract Deployment : Introduction to Truffle,
Use of Remix and test networks for deployment
Other Permissionless Blockchain platforms
Introduction: IOTA, Hashgraph, EOS, etc.
Self-learning Topics: Smart contract development using
Java or Python 10
IV Permissioned
Blockchain :
Hyperledger Introduction to Framework, Tools and Architecture of
Hyperledger Fabric Blockchain.
Components : Certificate Authority, Nodes, Chain codes, 7

Page 84

Fabric Channels, Consensus: Solo, Kafka, RAFT Designing
Hyperledger Blockchain
Other Permissioned Blockchain platforms
Intro duction: CORDA, Quoram, etc.
Self-learning Topics: Fundam entals of Hyperledger
Composer
V Crypto assets and
Cryptocurrencies Fungible and Nonfungible tokens, ERC20 and ERC721
standards, comparison between ERC20 & ERC721, ICO,
STO, Different Crypto currencies
Self-learning Topics: Defi, Metaverse, Types of
cryptocurrencies 5
VI Blockchain
Applications &
Research Areas Blockc hain in IoT, AI , Cyber Security
Research Areas : Interoperability, Privacy, Performance,
Oracles, Security of smart contracts and platforms
Self-learning Topics: Applications of Blockchain in
various domains Education, Energy, Healthcare, real -
estate, logistics, supply chain 4

Text Books:
1. ―Mastering Bitcoin, PROGRAMMING THE OPEN BLOCKCHAIN‖, 2nd Edition by Andreas M.
Antonopoulos, June 2017, Publisher(s): O'Reilly Media, Inc. ISBN: 9781491954386.
2. Mastering Ethereum, Building Smart Contract and Dapps, Andreas M. Antonopoulos Dr. Gavin
Wood, O'reilly.
3. Blockchain Technology, Chandramouli Subraman ian, Asha A George, Abhillash K. A and Meena
Karthikeyen, Universities press.
4. Hyperledger Fabric In -Depth: Learn, Build and Deploy Blockchain Applications Using Hyperledger
Fabric, Ashwani Kumar, BPB publications
5. Solidity Programming Essentials: A beginner's Guide to Build Smart Contracts for Ethereum and
Blockchain, Ritesh Modi, Packt publication
6. Cryptoassets: The Innovative Investor‘s Guide to Bitcoin and Beyond, Chris Burniske& Jack Tatar.

Reference Books :
1. Mast ering Blockchain, Imran Bashir, Packt Publishing 2. Mastering Bitcoin Unlocking Digital
Cryptocurrencies, Andreas M. Antonopoulos, O'Reilly Media
2. Blockchain Technology: Concepts and Applications, Kumar Saurabh and Ashutosh Saxena, Wiley.
3. The Basics of Bitc oins and Blockchains: An Introduction to Cryptocurrencies and the Technology that
Powers Them, Antony Lewis.for Ethereum and Blockchain, Ritesh Modi, Packt publication.
4. Mastering Bitcoin Unlocking Digital Cryptocurrencies, Andreas M. Antonopoulos, O'Reilly Media

Page 85

Online References:
1. NPTEL courses:
a. Blockchain and its Applications,
b. Blockchain Architecture Design and Use Cases
2. www.swayam.gov.in/
3. www.coursera.org
4. https://ethereum.org/en/
5. https://www.trufflesuite.com/tutorials
6. https://hyperledger -fabric.readthedocs.io/en/release -2.2/whatis.h
7. Blockchain demo: https://andersbrownworth.com/blockchain/
8. Blockchain Demo: Public / Private Keys & Signing: https:/ /andersbrownworth.com/blockchain/public -
private -keys/
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbe compulsory class test (on minimum 02
Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcoursepr oject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks, out of
these any four questions to beattempted by students. Minimum 80% syllabus should be covered
inendsemesterexamination.







Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO26 Storage Area
Network 03 -- -- 03 -- -- 03
Examination Scheme

Page 86

Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives
1 Understand and analyze the basics of storage network, storage technologies and various storage
architectures.
2 Define and understand virtualization with respect to storage network.
3 Understand SAN Management and its various aspects.
4 Describe disaster recovery for storage network and understand strategies, parameters and Quality of
Service for Business Continuity in storage infrastructure.
5 Understand and analyze security aspects for storage area network.
6 Be aware of the applications and Recent Developments in Ad Hoc Networks

Sr. No Course Outcomes : At the end of the course student should be able to
1 Explain storage technologies and storage architectures.
2 Describe and apply virtualization in storage network.
3 Apply SAN Management with its various parameters.
4 Understand and apply disaster recovery and Business Continuity in storage
network.
5 Understand and apply storage security and its importance.
6 Apply various storage network concepts like Implementation, SAN
Management, Virtualization, Disaster Recovery and Security to design
storage area network for an organization.

Sr.
No. Module Detailed Content Hours
0 Prerequisite
Basics of Networking and storage devices, Local File
systems, Network File systems and file servers, Shared
Disk File systems, Direct attached storage (DAS)

Page 87

I Need for Storage
Network Basics of Storage Network: - Intelligent Storage
Systems (ISS), Data protection (RAID implementation
methods).
RAID arrays, RAID technologies, RAID levels, RAID
impact on diskperformance & RAID comparison,
SCSI, SAN: FC SAN FC Protocol Stack, IP Storage,
Infiniband, Virtual Interfac es,
Comparison of NAS, FC SAN and iSCSI SAN.
Self-learning Topics: Limitations of traditional server
centric architecture, Storage centric architecture and its
advantages. Network Attached Storage (NAS)


09
II Storage
Virtualization
Definition, Storage virtualization on block and file level,
Storage virtualization on various levels of Storage
network, Symmetric and Asymmetric Virtualization.
Basics of Software Defined Storage and its types
Self-learning Topics: VSAN 06
III Managing SAN Storage Management tasks, What Gets Managed in
SAN? Zoning, Virtualization: Allocating Capacity rather
than Disk, SAN Management and Quality of online
storage device: Storage capacity, Data availability and
I/O performance, SAN Management and Asset
Utiliza tion,
Self-learning Topics: Storage planning and capacity
planning 05
IV Business
Continuity Strategies of Business Continuity: High availability,
Disaster Recovery, Continuous business operation
Parameters of Business Continuity: Availability,
charact eristics of Availability (MTBF,MTTR and
MTTF), characteristics of failure (RTO and RPO),
Network Recovery Objective (NRO)
Quality of Service for Business Continuity : Service
level Agreements (SLAs),High availability versus
disaster recovery, The Seven -Tier Model, Tier 0 to Tier
7
Self-learning Topics: General Conditions, BC
Terminology 06
V Storage Security Overview of Storage Security : Define storage security,
Storage security framework: Security attributes
(Confidentiality, Integrity, Availability, Accou ntability),
Security Elements: Assets(Information, Hardware,
Software, Network Infrastructure), Threats, 06

Page 88

Vulnerabilities
Security Controls: Technical ( implemented in
hardware, software and firmware), Non -Technical:
Administrative(Policies, Standards),
FC SAN security, Basic SAN Security Mechanisms,
Securing Switch Ports
Self-learning Topics: NAS security
VI Designing
Storage Area
Network A case study to design a storage area network for an
organization considering the following guidelines:
SAN Implementation, SAN Management, SAN
Virtualization, SAN Disaster Recovery and Security
Self-learning Topics:Study the Storage Area
Network Design of your college/industry campus.
04

Text Books:
1. Ulf Troppens, Rainer Erkens, Wolfgang Muller -Friedt , Rainer Wolafka, Nils Haustein, ―Storage Networks
Explained: Basics and Application of Fibre Channel SAN, NAS, iSCSI , Infiniband and FCoE ‖, Second
Edition, Wiley
2. Richard Barker and Paul Massiglia, ―Storage Area Network Essentials A Complete Guide to
Understanding and Implementing SANs‖, Wiley.
3. EMC Education Services, ―Information Storage and Management,‖ Second Edition, Wiley

4. Martin Hosken, "VMware Software -Defined Storage: A Design Guide to the Policy -Driven, Software -
Defined Storage Era"


Reference Books :
1.Vaishali D. Khairnar and NilimaM.Dongre ," Storage Network Management and Retrieval ‖, Wiley
2. Robert Spalding, ― Storage Networks: The Complete Reference ‖, McGraw Hill Education
3. W. Curtis Preston, ― Using SANs and NAS ‖, O‟Reilly
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsory class test (on minimum
02 Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforse ttingthequestionpapersareas,sixquestions to be set each of 20 marks,
out of these any four questions to beattempted by students. Minimum 80% syllabus should
be covered inquestionpapersofendsemesterexamination.

Page 89

Subject Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSDLO27 Design
Thinking
03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination Term Pract Oral

Page 90

Internal Assessment End
Sem
Exam Work
Test 1 Test 2 Avg
20 20 20 80 -- -- --

S
r.
N
o Course Objectives
1 Tostresstheimportanceofgooddesign.
2 Torecognizethelatestandfutureissuesandchallengesininnovation.
3 Toexposethestudentwithstateoftheartperspectives,ideas,concepts,andsolutions relatedtothedesignandinnovat
ionusingdesignthinkingprinciples.
4 Todevelopanadvancedinnovationandgrowthmindsetformofproblemidentificationandreframing,andinsightge
neration.
5 Toprovideasocialandthinkingspacefortherecognitionofinnovationchallengesandthe designofcreativesolution
s.
6 Toproposeaconcrete,feasible,viableandrelevantinnovationproject/challengewithImplementation

Sr. No. Course Outcomes : At the end of the course student should be able to
1 Understandgoodfeaturesofdesigns.
2 Understand importanceofinnovationindaytodaylife
3 Illustrate and analyze user needs and formulate design and
innovationusingdesignthinkingprinciples.
4 Interpretandevaluatethedatacollectedduringtheprocessof
problemidentificationandreframing,andinsightgeneration.
5 Evaluate designs based on theoretical frameworks and methodologicalapproaches.
6 Design innovativeapplicationsthatareusable, effective and efficientforintendedusers

Sr.
No. Module DetailedContent Hours

Page 91

0 Prerequisite Software Engineering concepts and
anyprogrammingLanguage
I Introductio
ntodesign GoodandPoorDesign,WhatisInteractionDesign,TheUserExperie
nce, The Process Of Interaction Design,
InteractionDesignandtheUserExperience,NecessityofUI/UX,
Self-learningTopics: Study of Various
interactivedayto dayapplication 5
II DesignThi
nking Back
ground
Definition ofdesign thinking, business uses ofdesign
thinking, variety of approaches within the design
thinkingdiscipline, design thinking mindset

Self-learningTopics: Designthinkinginbusinessapplication 5
III Design
Thinking
Approach FundamentalConcepts:
Empathy, ethnography, divergent
thinking convergentthinking,visualthinking,assump
tiontesting,prototyping,andvalidationwithindesignThinking,
DesignThinkingResourcesHuman resou rce, preferred
space prepared,
materials commonly used, dynamic
between designthinkingteamsandtheorganization
DesignThinkingProcesses
Designthinkingapproaches,DoubleDiamondapproach,d.School5
-
Stageapproach,Growthapproach,roleofprojectmanagementwithi
ndesignthinking
Self-
learningTopics: StudyofVariousresourcesfordesignthinking 8

IV DesignThi
nking
inPractice 4.1 ProcessStagesofDesigningforGrowth
4.2 DesignThinkingToolsandMethods
needtousetoolsandmethods,visualization,journeymapping,valu
echainanalysis,mindmapping,brainstorming,conceptdevelopm
entassumptiontesting,rapidprototypingcustomerco -
creation,learninglaunch.
Self-learningTopics: Studyofconceptdevelopment
withanyapplication 7

Page 92

V UX
Evaluation,
TheInteract
ion
Cycle and
theUser
Action
Framework UX Goals, Metrics and Targets, UX Evaluation Techniques. -
Formative vs summative
,Analysis,Theinteractioncycle,Theuseractionframework
adding a structured knowledge
basetotheinteractioncycle,Interactioncycleand
useractionframeworkcontentcategories,Role
ofaffordanceswithintheUAF,Practicalvalue
oftheUAF.
Self-learningTopics: StudyofUIandUXgoals
withanyapplication 7
VI DesignThi
nking Appl
ication This section explores practical case study related toproduct
development in a design thinking
effort.Anydomainispreferable.
Self-learningTopics: Studyofanydomain application 4
TextBooks:
1. ―Designing for growth: A design thinking tool kit for managers‖, by Jeanne Liedtka and
TimOgilvie.,2011,ISBN978 -0-231-15838 -1
2. ―The design thinking playbook: Mindful digital transformation of teams, products,
services, businesses and ecosystems‖, by Michael Lewrick, Patrick Link, Larry Leifer., 2018,
ISBN978 -1-119-46747 -2
3. ―Presumptive design: Design provocations for innovation‖, by Leo Frishberg and
CharlesLambdin.,2016,ISBN:978 -0-12-803086 -8
4. ―Systemsthinking:Managing chaos and complexity: A platform for designing
businessarchitecture.‖, ―Chapter Seven: Design Thinking‖, by Jamshid Gharajedaghi, 2011,
ISBN978 -0-12-385915 -0
5. InteractionDesign, byJ.Preece,Y.RogersandH.Sharp.ISBN0 -471-49278 -7.
6. Human Computer Interaction, by Alan Dix, JanetFinlay, Gregory DAbowd,Russell Beale
References:
1. KarmicDesignThinkingbyProf.BalaRamadurai,availableat Amazon (paperback), Amazon(e -
book), Flipkart,Pothi,halfpricebooks.in.
2. Design: Creation ofArtifacts inSociety byProf. KarlUlrich, U. Penn
3. ChangebyDesignbyTimBrown.
4. TheUXBook,byRexHartsonandPardhaSPyla
5. DonaldA. Norman,―The design ofeveryday things‖,Basic books.
6. JeffJohnson,―Designingwiththemindinmind‖,MorganKaufmannPublication.

Online
References: https://nptel.ac.in/courses/110106124 https://onlinec
ourses.nptel.ac.in/noc22_mg32/preview https://onlinecourses.nptel

Page 93

.ac.in/noc21_ar05/preview https://nptel.ac.in/courses/124/107/1241
07008/ https://nptel.ac.in/no c/courses/noc19/SEM1/noc19 -
ar10/ https://nptel.ac.in/courses/107/103/107103083/
https://www. youtube.com/watch?v=6C2Ye1makdY&list=PLW -zSkCnZ -gD5TDfs1eL5EnH2mQ0f9g6B
https://xd.adobe.com/ideas/process/
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbe compulsory class test (on minimum
02 Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Someguidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks,
out of these any four questions to beattempted by students. Minimum 80% syllabus should
be covered inquestionpapersofendsemesterexamination.

Page 94

Subject Code Subject
Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-
CSDLO28 Metaverse 03 -- -- 03 -- -- 03
Examination Scheme
Theory Examination
Term
Work Pract Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
20 20 20 80 -- -- --

Sr.No Course Objectives
1 To study the concepts of Metaverse.
2 To study Metaverse and Web 3.0, Virtual Reality (VR), Augmented Reality (AR), and
Mixed Reality (MR), NFT in Blockchain.
3 To study the Metaverse technologies and protocols.
4 To study and identify the required infrastructure for Metaverse.
5 To study various case studies of Metaverse.
6 To study of Metaverse Immersive technology and Interfaces.

Sr. No. Course Outcomes : At the end of the course student should be able to
1 Understand the concepts of Metaverse.
2 understand and study Metaverse and Web 3.0, Virtual Reality (VR), Augmented
Reality (AR), and Mixed Reality (MR), NFT in Blockchain.
3 Understand the Metaverse technologies and protocols.
4 Identify the required infrastructure for Metaverse.
5 Understand different case studies of Metaverse.
6 Understand Metaverse Immersive technology and Interfaces

Page 95

Sr. No. Module Detailed Content Hours
0 Prerequisite Basic Concepts of Blockchain Technology.
I Introduction What is the Metaverse? Evaluation of Technology: Web,
AR VR, 3D spaces, Immersive learning , Blockchain ,
Decentralised commerce 03
II Fundamental
Concep ts of
AR, VR, MR
and
Blockchain Building block technology of metaverse , How Gaming +
Web 3.0 + Blockchain are Changing the Internet: Future
of Internet: How Metaverse is different from Internet,
Potential of Metaverse characteristics that characterise
metaverse The Different Shapes of the Metaverse:
Games, NFTs (assets), Bloc kchain Protocols,
Cryptocurrencies, etc 07
III Metav erse
Technologies
and Protocols Metaverse technologies, principles, affordances and
challenges
Blockchain Protocols and Platforms Involved in the
Metaverse
Metaverse -Related Tokens
Blockchain NFT need for metaverse: working principle of
blockchain, NFT based virtual assets in metaverse, case
study
How NFTs are Unlocking the Metaverse Potential
working of ERC721 NFT
06
IV Metaverse
Infrastructure Access the metaverse, necessary hardware Understanding
Decentraland , native token MANA, creating own Avatar.
Using metamask to access Decentraland, owning land to
have direct access of metaverse.
06
V Case studies
of Metaverse Various usecase of metaverse
Industries Disrupted by the Metaverse: Fashion,
Marketing, Brands, Finance, Gaming, Architecture,
Virtual Shows/Concerts, Art Galleries and Museums
Virtual Business and market, Investing In the Metaverse
and Profit
Asset Classes Inside the Metaverse 07

Page 96

Metaverse Land Ownership - Property Investment
VI Metaverse
Imme rsive
technology
and Interfaces 3d Reconstruction, AI technology to analyses 3D Scan
Virtual Reality (VR) and Augmented Reality (AR),
Mixed Reality (MR) and Extended Reality (XR),
Metaverse vs VR what is difference, IoT to bridge gap
between physical world and internet
Metaverse Interfa ces: Personal Computer, Mobile Phone,
AR Glasses, VR Goggles, Neuralink
07

Text & Re ference Books
1. Mystakidis, Stylianos, ― Metaverse‖,Journal=Encyclopedia,2022, https://www.mdpi.com/2673 -
8392/2/1/31
2. All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual
Ecosystem, and Research Agenda, Technical Report · October 2021

Online References:
1. https://www.udemy.com/course/complete -metaverse -course -everything -about -ar-vr-and-nfts/
Assessment:
Internal Assessment Test:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsory class test (on minimum 02
Modules) and the other iseitheraclasstestorassignmentonliveproblemsorcourseproject.
EndSemesterExamination:
Some guidelinesforsettingthequestionpapersareas,sixquestions to be set each of 20 marks, out of
these any four questions to beattempted by students. Minimum 80% syllabus should be covered
inquestionpapersofendsemesterexamination.

Page 97

Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut Theory Pract Tut Total
ME-CSL201 Computational
Laboratory II -- -- -- --- 02 -- 01
Examination Scheme
Theory Examination
Term
Work Pract /
Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
--- --- --- --- 25 25

Module Detailed Content Lab
Session

Cloud Computing &
Services

Use Eucalyptus or open Nebula or equivalent to set up cloud,
many virtual machine utilization, virtual machine migration at
certain conditions, web applications on cloud.
Demonstrate how to build ML/AL capabilities on cloud for
mobile applications
Explain how mobile offline data synchronization can be
done using any cloud platform 05


Data Analytics and
Visualization


For the following Experiments, use any available data set or
download it from Kaggle/UCI or other repositories and use Python
to solve each problem.
1. Data preparation using NumPy and Pandas
2. Data Visualization / Exploratory Data Analysis for the select ed
data set using Matplotlib and Seaborn
3. Data Modeling
4. Implementation of Statistical Hypothesis Test using Scipy and 05

Page 98

Sci-kit learn
5. Regression Analysis a. Perform Logistic Regression to find out
relation between variables. b. Apply regression Model techniques
to predict the data on above dataset
6. Predictive data Analytics using open source tools like Rstudio,
RWeka, RHadoop




















Subject Subject Name Teaching Scheme Credits Assigned

Page 99

Code (Contact Hours)
Theory Pract Tut Theory Pract Tut Total
ME-CSL102
ME-CSL202 Skill Based LabI
&II -- -- -- --- 02 -- 02
Examination Scheme
Theory Examination
Term
Work Pract /
Oral Internal Assessment End
Sem
Exam Test 1 Test 2 Avg
--- --- --- --- 50 50
Detailed Content
SkillBasedLab -IandIIshallincludeactivity/ case study /
project basedlearninglikeMiniprojectinengineeringdomains ,
relatedtothespecializationorinterdisciplinarydomains ,ProductDesignApplicationSoftwareDevelopm
ent, Ideaproposalandvalidation
Lab work/Case Study can also be conducted based on DLOC chosen by the student

Page 100

Course Code Course Name Credits
ILO 2 021 Project Management 03

Objectives:
1. To familiarize the students with the use of a structured methodology/approach for each
and every unique project undertaken, including utilizing project management concepts,
tools and techniques.
2. To appraise the students with the project management life cycle and make them
knowledgeable about the various phases from project initiation through closure.

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

Module Detailed Contents Hrs
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Necessity of project management,
Triple constraints, Project life cycles (typical & atypical) Project phases and
stage gate process. Role of project manager, Negotiations and resolving
conflicts, Project management in various organization structures, PM knowledge
areas as per Project Management Institute (PMI) 5
02 Initiating Projects:
How to get a project started, selecting project strategically, Project selection
models (Numeric /Scoring Models and Non -numeric models), Project portfolio
process, Project sponsor and creating charter; Project proposal. Effective project
team, Stages of team development & growth (forming, sto rming, norming
&performing), team dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface
Co-ordination and concurrent engineering, Project cost estimation and
budgeting, Top down and bottoms up budgeting, Networking and Scheduling
techniques. PERT, CPM, GANTT chart, Introduction to Project Management
Information System (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and levelling, Goldratt's critical chain,
Project Stakeholders and Communication plan
Risk Management in projects: Risk management planning, Risk identification 6

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and risk register, Qualitative and quantitative risk assessment, Probability and
impact matrix. Risk response strategies for positive and negative risks
05 5.1 Executing Projects:
Planning monitoring and controlling cycle, Information needs and reporting,
engaging with all stakeholders of the projects, Team management,
communication and project meetings
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed;
Using milestones for measureme nt; change requests and scope creep, Project
audit
5.3 Project Contracting
Project procurement management, contracting and outsourcing, 8
06 6.1 Project Leadership and Ethics:
Introduction to project leadership, ethics in projects, Multicultural and virtual
projects
6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, Starvation), Process of project
termination, completing a final report; doing a less ons learned analysis;
acknowledging successes and failures; Project management templates and other
resources; Managing without authority; Areas of further study. 6

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportiona l to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be m ixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved

REFERENCES:
1. Project Management: A managerial approach, Jack Meredith & Samuel Mantel, 7th
Edition, Wiley India

Page 102

2. A Guide to the Project Management Body of Knowledge (PMBOK ® Guide), 5th Ed,
Project Management Institute PA, USA
3. Project Management,Gido Clements, Cengage Learning
4. Project Management,Gopalan, Wiley India
5. Project Management,Dennis Lock , 9th Edition, Gower Publishing England

Page 103

Course Code Course Name Credits
ILO 2 022 Finance Management 03

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

Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components and
Functions of Financial System.
Financial Instruments: Meaning, Characteristics and Classification of Basic
Financial Instruments — Equity Shares, Preference Shares, Bonds -Debentures,
Certificates of Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of Financial
Markets — Capital Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning , Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment -Merchant Banks and Stock
Exchanges 06
02 Concepts of Returns and Risks: Measurement of Historical Returns and
Expected Returns of a Single Security and a Two -security Portfolio;
Measurement of Historical Risk and Expected Risk of a Single Security and a
Two-security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and Annu ity
Due; Continuous Compounding and Continuous Discounting. 06
03 Overview of Corporate Finance: Objectives of Corporate Finance; Functions
of Corporate Finance —Investment Decision, Financing Decision, and Dividend
Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance Sheet,
Profit and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio
Analysis; Liquidity Ratios; Efficiency or Activity Ratios; Profitability Ratios;
Capital Structure Ratios; Stock Market Ratios; Lim itations of Ratio Analysis. 09

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04 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for
Capital Budgeting Decisions; Investment Appraisal Criterion —Accounting Rate
of Return, Payback Period, Discounted Payback Period, Net Present
Value(NPV), Profitability Index, Internal Rate of Return (IRR), and Modified
Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working Capital;
Importance of Working Capital Management; Factors Affecting an Entity‘s
Working Cap ital Needs; Estimation of Working Capital Requirements;
Management of Inventories; Management of Receivables; and Management of
Cash and Marketable Securities. 10
05 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids;
Mezzanine Finance; Sources of Short Term Finance —Trade Credit, Bank
Finance, Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity‘s Capital Structure; Overview of
Capital Structure T heories and Approaches — Net Income Approach, Net
Operating Income Approach; Traditional Approach, and Modigliani -Miller
Approach. Relation between Capital Structure and Corporate Value; Concept of
Optimal Capital Structure 05
06 Dividend Policy: Meaning a nd Importance of Dividend Policy; Factors
Affecting an Entity‘s Dividend Decision; Overview of Dividend Policy Theories
and Approaches —Gordon‘s Approach, Walter‘s Approach, and Modigliani -
Miller Approach 03

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end se mester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 105

REFERENCES:
1. Fundamentals of Financial Management, 13th Edition (2015) by Eugene F. Brigham and
Joel F. Houston; Publisher: Cengage Publications, New Delhi.
2. Analysis for Financial Management, 10th Edition (2013) by Robert C. Higgins;
Publishers: McGraw Hill Education, New Delhi.
3. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill
Education, New Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) &
Company Limited, New Delhi.

Page 106

Course Code Course Name Credits
ILO2 023 Entrepreneurship Dev elopment and Management 03

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

Module Detailed Contents Hrs
01 Overview Of Entrepreneurship: Definitions, Roles and Functions/Values of
Entrepreneurship, History of Entrepreneurship Development, Role of
Entrepreneurship in the National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Ownership
Role of Money and Capita l Markets in Entrepreneurial Development:
Contribution of Government Agencies in Sourcing information for
Entrepreneurship 04
02 Business Plans And Importance Of Capital To Entrepreneurship:
Preliminary and Marketing Plans, Management and Personnel, Start -up Costs
and Financing as well as Projected Financial Statements, Legal Section,
Insurance, Suppliers and Risks, Assumptions and Conclusion, Capital and its
Importance to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business,
Buying an Existing Business, New Product Development, Business Growth and
the Entrepreneur Law and its Relevance to Business Operations 09
03 Women‘s Entrepreneurship Development, Social e ntrepreneurship -role and
need, EDP cell, role of sustainability and sustainable development for SMEs,
case studies, exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of infrastructure
developments and support etc., Public private partnerships, National Skill
development Mission, Credit Guarantee Fund, PMEGP, discussions, group
exercises etc 08
05 Effective Management of Business: Issues and problems faced by micro and
small enterprises and effective management of M and S enterprises (risk
management, credit availability, technology innovation, supply chain 08

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management, linkage with large industries), exercises, e -Marketing
06 Achieving Success In The Small Business: Stages of the small business life
cycle, four types of firm -level growth strategies, Options – harvesting or closing
small business Critical Success factors of small business 05

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Cl ass Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

REFERENCES:
1. Poornima Charantimath, Entrepreneurship development - Small Busi ness Enterprise,
Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship,
latest edition, The McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium E nterprises in Global Perspective, New century
Publications, New Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing
House
6. MaddhurimaLall, ShikahSahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication
Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Page 108

Course Code Course Name Credits
ILO2 024 Human Resource Management 03

Objectives:
1. To introduce the students with basic concepts, techniques and practices of the human
resource management
2. To provide opportunity of learning Human resource management (HRM) processes,
related with the functions, and challenges in the emerging perspective of today‘s
organizations
3. To familiarize the students about the latest developments, trends & dif ferent aspects of
HRM
4. To acquaint the student with the importance of inter -personal & inter -group behavioural
skills in an organizational setting required for future stable engineers, leaders and
managers

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

Module Detailed Contents Hrs
01 Introduction to HR
 Human Resource Management - Concept, Scope and Importance,
Interdisciplinary Approach Relationship with other Sciences, Competencies of
HR Manager, HRM functions
 Human resource development (HRD): changing role of HRM – Human
resource Planning, Technological chang e, Restructuring and rightsizing,
Empowerment, TQM, Managing ethical issues 5
02 Organizational Behaviour (OB)
 Introduction to OB Origin, Nature and Scope of Organizational Behaviour,
Relevance to Organizational Effectiveness and Contemporary issues
 Personality: Meaning and Determinants of Personality, Personality
development, Personality Types, Assessment of Personality Traits for
Increasing Self Awareness
 Perception: Attitude and Value, Effect of perception on Individual Decision -
making, Attitude and Behaviour
 Motivation: Theories of Motivation and their Applications for Behavioural
Change (Maslow, Herzberg, McGregor); 7

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 Group Behaviour and Group Dynamics: Work groups formal and informal
groups and stages of group development, Team Effectiveness: High performing
teams, Team Roles, cross functional and self -directed team.
 Case study
03 Organizational Structure &Design
 Structure, size, technology, Environment of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and stress.
 Leadership: Concepts and skills of leadership, Leadership and managerial roles,
Leadership styles and contemporary issues in leadership.
 Power and Politics: Sources and uses of power; Politics at workplace, Tactics
and strategies. 6
04 Human resource Planning
 Recruitment and Selection process, Job -enrichment, Empowerment - Job-
Satisfaction, employee morale
 Performance Appraisal Systems: Traditional & modern methods, Performance
Counselling, Career Planning
 Training & Development: Identification of Training Needs, Training Methods 5
05 Emerging Trends in HR
 Organizational development; Business Process Re -engineering (BPR), BPR as
a tool for organizational development, managing processes & transformation in
HR. Organizational Change, Culture, Environment
 Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and d iversity at work , Causes of diversity, managing diversity
with special reference to handicapped, women and ageing people, intra
company cultural difference in employee motivation 6
06 HR & MIS: Need, purpose, objective and role of information system in HR,
Applications in HRD in various industries (e.g. manufacturing R&D, Public
Transport, Hospitals, Hotels and service industries
Strategic HRM: Role of Strategic HRM in the modern business world, Concept of
Strategy, Strategic Management Process, Approaches to Strategic Decision
Making; Strategic Intent – Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations: Evolution of IR, IR issues in organizations,
Overview of Labor Laws in India; Industrial Disputes Act, Trade Unions Act,
Shops and Establishments A ct 10

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks

Page 110

2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

REFERENCES:
1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases, 6th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015,
Himalaya Publishing, 15thedition, 2015
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th
Ed, 2013, Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson
Publications

Page 111

Course Code Course Name Credits
ILO2 025 Professional Ethics and Corporate Social Responsibility (CSR) 03

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

Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Business Ethics; Ethical
Issues in Business; Moral Responsibility and Blame; Utilitarianism: Weighing
Social Costs and Benefits; Rights and Duties of Business 04
02 Professional Ethics in the Marketplace: Perfect Competition; Monopoly
Competition; Oligopolistic Competition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and
Resource Depletion; Ethics of Pollution Control ; Ethics of Conserving
Depletable Resources 08
03 Professional Ethics of Consumer Protection: Markets and Consumer
Protection; Contract View of Business Firm‘s Duties to Consumers; Due Care
Theory; Advertising Ethics; Consumer Privacy
Professional Ethics of Job Discrimination: Nature of Job Discrimination;
Extent of Discrimination; Reservation of Jobs. 06
04 Introduction to Corporate Social Responsibility: Potential Business
Benefits —Triple bottom line, Human resources, Risk management , Supplier
relations; Criticisms and concerns —Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in India 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small and Medium Enterprises (SMEs) in
India, Corporate Social Responsibility and Public -Private Partnership (PPP) in
India 08
06 Corporate Social Responsibility in Globalizing India: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by t he Ministry of Corporate
Affairs, Government of India, Legal Aspects of Corporate Social
Responsibility —Companies Act, 2013. 08

Page 112

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .


REFERENCES:
1. Business Ethics: Texts and Cases from the Indian Perspective (2013) by Ananda Das
Gupta; Publisher: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by
Andrew Crane, Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edition (2011) by Manuel G. Velasquez;
Publisher: Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routledge, New
Delhi.

Page 113

Course Code Course Name Credits
ILO2 026 Research Methodology 03

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

Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postulate, Proposition, Thesis,
Hypothesis, Law, Principle.Research methods vs Methodology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research:Systematic, Valid, Verifiable, Empirical and
Critical 09
02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quantitative Approaches 07
03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling
Stages in Sample Design Sampling methods/techniques Sampling Errors 07
04 Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research Process:
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature 08

Page 114

d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report
05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availability, Choice of data,
Analysis of data, Generalization and Interpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .


REFERENCES:
1. Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers
Distributors.
2. Kothari, C.R.,1985, Research Methodology -Methods and Techniques, New Delhi, Wiley
Eastern Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step -by-Step Guide for Beginners,
(2nded), Singapore, Pearson Education

Page 115

Course Code Course Name Credits
ILO2 027 IPR and Patenting 03

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

Module Detailed Contents Hr
01 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR,
Different category of IPR instruments - Patents, Trademarks,Copyrights,
Industrial Designs, Plant variety protection, Geographical indications,Transfer of
technology etc.
Importance of IPR in Modern Global Economic Environment: Theories of
IPR, Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of
development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of
problem, Factors that create and sustain counterfeiting/piracy, International
agreements, International organizations (e.g. WIPO, WTO) active in IPR
enforcement
Indian Scenario of IPR: Introduction, History of IPR in Ind ia, Overview of IP
laws in India, Indian IPR, Administrative Machinery, Major international treaties
signed by India, Procedure for submitting patent and Enforcement of IPR at
national level etc. 07
03 Emerging Issues in IPR: Challenges for IP in digital economy, e -commerce,
human genome, biodiversity and traditional knowledge etc. 05
04 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable
and non -patentable inventions, Types of patent applications (e.g. Patent of
addition etc ), Process Patent and Product Patent, Precautions while patenting,
Patent specification Patent claims, Disclosures and non -disclosures, Patent rights
and infringement, Method of getting a patent 07

Page 116

05 Patent Rules: Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario, Multilateral treaties where India is a
member (TRIPS agreement, Paris convention etc.) 08
06 Procedure for Filing a Patent (National and International): Legislation and
Salient Features, Patent Search, Drafting and Filing Patent Applications,
Processing of patent, Patent Litigation, Patent Publication, Time frame and cost,
Patent Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07


Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .
REFERENCE BOOKS:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights
in India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working
Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human Development:
Current Trends and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents,
Copyrights, Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. LousHarns, 2012, The enforcement of Intellactual Property Rights: A Case Book, 3rd
Edition, WIPO
7. Prabhuddha Gang uli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition,
Excel Books

Page 117

9. M Ashok Kumar and mohd Iqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition,
Serial Publicat ions
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st
Edition, BS Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on
Intellectual Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Paten ting and Licensing for Scientists and
Engineers, World Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti Mathur, Anshul Rathi , IPR: Drafting,Interpretation of
Patent Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley -
IEEE Press.

Page 118

Course Code Course Name Credits
ILO 2 028 Digital Business Management 03

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

Outcomes: The learner will be able to …..
1. Identify drivers of digital business
2. Illustrate various approaches and techniques for E -business and management
3. Prepare E -business plan

Module Detailed content Hours
1 Introduction to Digital Business -
Introduction, Background and current status, E -market places, structures,
mechanisms, economics and impacts
Difference between physical economy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud
Computing, Social media, BYOD, and Internet of Things(digitally intelligent
machines/services)
Opportunities and Challenges in Digita l Business, 09
2 Overview of E -Commerce
E-Commerce - Meaning, Retailing in e -commerce -products and services,
consumer behavior, market research and advertisement
B2B-E-commerce -selling and buying in private e -markets, public B2B
exchanges and support servi ces, e -supply chains, Collaborative Commerce,
Intra business EC and Corporate portals
Other E -C models and applications, innovative EC System -From E -
government and learning to C2C, mobile commerce and pervasive
computing
EC Strategy and Implementation -EC strategy and global EC, Economics and
Justification of EC, Using Affiliate marketing to promote your e -commerce
business, Launching a successful online business and EC project, Legal,
Ethics and Societal impacts of EC 06
3 Digital Business Support service s: ERP as e –business backbone,
knowledge Tope Apps, Information and referral system
Application Development: Building Digital business Applications and
Infrastructure 06
4 Managing E -Business -Managing Knowledge, Management skills for e -
business, Managing Risks in e –business
Security Threats to e -business -Security Overview, Electronic Commerce
Threats, Encryption, Cryptography, Public Key and Private Key
Cryptography, Digital Signatures, Digital Certificates, Security Prot ocols 06

Page 119

over Public Networks: HTTP, SSL, Firewall as Security Control, Public Key
Infrastructure (PKI) for Security, Prominent Cryptographic Applications
5 E-Business Strategy -E-business Strategic formulation - Analysis of
Company‘s Internal and external environment, Selection of strategy,
E-business strategy into Action, challenges and E -Transition
(Process of Digital Transformation) 04
6 Materializing e -business: From Idea to Realization -Business plan
preparation
Case Studies and presentations 08

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will compr ise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

References:

1. A textbook on E -commerce , ErArunrajan Mishra, Dr W K Sarwade,Neha Publishers &
Distributors, 2011
2. E-commerce from vision to fulfilment, Elias M. Awad, PHI-Restricted, 2002
3. Digital Business and E -Commerce Management, 6th Ed, Dave Chaffey, Pearson, August
2014
4. Introduction to E -Business -Management and Strategy, Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy, Eloise Coupey, 2nd Edition, Pearson
6. Trend and Chal lenges in Digital Business Innovation, VinocenzoMorabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in: Proceedings in 2nd International
Conference theory and practice of Elec tronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting
journal Vol.5
10. Measuring Digital Economy -A new perspective - DoI:10.1787/9789264221796 -enOECD
Publishing

Page 120

Course Code Course Name Credits
ILO2 029 Environmental Management 03

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

Modul
e Detailed Contents Hrs
01 Introduction and Definition of Environment: Significance of Environment
Management for contemporary managers, Career opportunities,
Environmental issues relevant to India, Sustainable Development, the Energy
scenario 10
02 Global Environmental concerns : Global Warming, Acid Rain, Ozone
Depletion, Hazardous Wastes, Endangered life-species, Loss of Biodiversity,
Industrial/Man -made disasters, Atomic/Biomedical hazards, etc. 06
03 Concepts of Ecology: Ecosystems and interdependence between living
organisms, habitats, limiting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role and functions of Government as a
planning and regulating agency
Environment Quality Management and Corporate Environmental
Responsibility 10
05 Total Quality Environmental Management, ISO -14000, EMS certification. 05
06 General overview of major legislations like Environment Protection Act, Air
(P & CP) Act, Water (P & CP) Act, Wildlife Protection Act, Forest Act,
Factories Act, etc. 03

Assessment :

Internal Assessment for 20 marks:

Page 121

Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)


End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

REFERENCES:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers
London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G.
Ockwell, Edward Elgar Publishing
3. Environmental Management V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Sy stems — Requirements With Guidance
For Use, Bureau Of Indian Standards, February 2005
5. Environmental Management: An Indian Perspective, S N Chary and Vinod Vyasulu,
Maclillan India, 2000
6. Introduction to Environmental Management, Mary K Theodore and Louise T heodore,
CRC Press
Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015