Vide Item No628 R ME Information Security 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),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(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),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA

for information.

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AC – 11 July, 2022
Item No. – 6.28 ( R)




University of Mu mbai








Revised Syllabus for
M.E. (Information Security)
(Sem. - I to IV)
(Choice Based Credit System)




(With effect from the academic year 2022 -23)

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Semester I

Course
Code Course Name Teaching Scheme (Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MEIS C101 IT Infrastructure Design
3 -- -- 3 -- -- 3
MEIS C102 Cryptography and PKI 3 -- 3 -- 3
MEIS CPE10 3 Program Elective 1 3 -- -- 3 -- -- 3
MEIS CPE10 4 Program Elective 2 3 -- -- 3 -- -- 3
IE101X Institute Elective 1 3 -- -- 3 -- -- 3
MEIS L101 Program Lab -I -
- 2 -- -- 1 -- 1
MEIS L102 Skill Based Lab -I -
- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18

Course
Code

Course Name Examination
Scheme
The
ory
Term
Work Pract
/
Oral
Total Internal
Assessment End Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MEISC101 IT Infrastructure
Design 20 20 20 80 3 -- -- 100
MEISC102 Cryptography and PKI 20 20 20 80 3 -- -- 100
MEIS CPE10 3 Program Elective 1 20 20 20 80 3 -- -- 100
MEIS CPE10 4 Program Elective 2 20 20 20 80 3 -- -- 100
IE101X Institute Elective 1 20 20 20 80 3 -- -- 100
MEISL101 Program Lab -I -- -- -- -- -- 25 25 50
MEIS L102 Skill Based Lab -I -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650




Program Elective 1 MEIS CPE10 31
GPU Architecture and programming
MEISCPE10 32 Fundamental of statistic of AI
MEISCPE10 33 Advanced Web Technologies
MEISCPE10 34 IT security Laws and compliance
Program Elective 2 MEIS CPE10 41 Quantum computing
MEISCPE104 2 IoT and security
MEISCPE104 3 Clould Computing security
MEISCPE104 4 Machine Learning
Institute Elective 1 IE1011 Product Lifecycle Management
IE1012 Reliability Engineering
IE1013 Management Information
System

IE1014 Design of Experiments
IE1015 Operation Research
IE1016 Cyber Security and Laws
IE1017 Disaster Management and
Mitigation Measures
IE1018 Energy Audit and Management
IE1019 Development Engineering

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Semester II

Course
Code Course Name Teaching Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MEIS C201 Information Security
3 -- -- 3 -- -- 3
MEIS C202 Block chain
Technology 3 -- 3 -- 3
MEIS CPE2 03 Program Elective 3 3 -- -- 3 -- -- 3
MEIS CPE2 04 Program Elective 4 3 -- -- 3 -- -- 3
IE201X Institute Elective 2 3 -- -- 3 -- -- 3
MEISL 201 Program Lab -II -
- 2 -- -- 1 -- 1
MEIS L202 Skill Based Lab -II -
- 4$ -- -- 2 -- 2
Total 1
5 06 -- 15 03 -- 18

Course
Code

Course Name Examination
Scheme
Theo
ry
Term
Work Pract
/
Oral
Total
Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-
1 Test-2 Avg
MEIS C201 Information Security 20 20 20 80 3 -- -- 100
MEIS C202 Block chain
Technology 20 20 20 80 3 -- -- 100
MEIS CPE2 03 Program Elective 3 20 20 20 80 3 -- -- 100
MEIS CPE2 04 Program Elective 4 20 20 20 80 3 -- -- 100
IE201X Institute Elective 2 20 20 20 80 3 -- -- 100
MEISL 201 Program Lab -II -- -- -- -- -- 25 25 50
MEIS L202 Skill Based Lab -II -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650
$ indicates work load of Learner (Not Faculty), for Skill Based Lab
Note 1: Skill Based Lab - I and II shall include activity / project based learning like
1) Mini project in engineering domains related to the specialization or interdisciplinary domains
2) Product Design
3) Application Software Development
4) Idea proposal and validation





Program Elective 3 MEISCPE203 1 Application and Web Security
MEISCPE203 2 Machine Learning for Security
MEISCPE203 3 Investigating Crypto currency
MEISCPE203 4 Design Thinking
Program Elective 4 MEISCPE204 1 Devops and Devsecops
MEISCPE204 2 IT Security Strategic Planning,
Policy & leadership
MEISCPE204 3 Hacker Technique, Exploits and
Incident handling
MEISCPE204 4 Advanced Computer Forensic
Analysis

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Institute Elective 2 IE2011 Project Management
IE2012 Finance Management
IE2013 Entrepreneurship Development
and Management
IE2014 Human Resource Management
IE2015 Professional Ethics and CSR
IE2016 Research Methodology
IE2017 IPR and Patenting
IE2018 Digital Business Management
IE2019 Environmental Management

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Semester III
Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MEISMP30
1 Major Project:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 -- 00 10 -- 10

Course
Code

Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MEISMP301 Major Project:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100
Online Credit Courses

Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MEISOCC301 Online Credit Course - I -- -- -- -- -- -- 3
MEISOCC301 Online Credit Course - II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06
Note 2: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or similar
platform approved by university. The learner shall opt for one course each from OCC - I and OCC -II. These two
courses shall be completed in any semester I or II or III, but not later e nd of the Semester III. The credits earned with
OCC - I and OCC -II shall be accounted in the third semester grade -sheet. The learner shall be allowed to take up
these courses from his or her institute or organisation/ industry where his / her major project is carried out. The
students shall complete the courses and shall qualify the exam conducted by the respective authorities/ instructor
from the platform. The fees for any such courses and the corresponding examination shall be borne by the learner.
Univers ity shall make a provision that credit earned with OCC -I and OCC -II shall be accounted in the third semester
grade -sheet with actual names of the courses.
Online Credit Course – I
The learner shall opt for the course in the domain of Research Methodology or Research & Publication Ethics or
IPR. The opted course shall be of 3 credits of equivalent number of weeks.
Online Credit Course –II
The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor from the institute. The
opted cou rse shall be of 3 credits of equivalent number of weeks.

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Semester IV
Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MEIS MP401 Major Project :
Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16

Course
Code

Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MEIS MP401 Major Project :
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits: 68
Note 3: The Dissertation submission shall not be permitted till the learner completes all the credit requirements of ME course.



Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISC101 IT
Infrastructure
Design 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg.
of 2
Tests
MEISC101 IT
Infrastructure
Design 20 20 20 80 -- -- -- 100

Course Objectives : Students shall be able to :
1. Be familiarized with the methodologies and approaches of the network design for an Enterprise network.
2. Explain Ethernet d esign rules, server farm design and DMZ design
3. Describe the data center design considerations and Telecommunications Infrastructure Standard for data
centers .
4. Study the components of Enterprise Wireless LAN Architecture .
5. Understand and apply the concepts of n eed for storage Network, Data Protection and RAID .
6. Understand SDN and Open Flow switch and controllers.

Course Outcomes: Students will be able to
1. Analyse customer requirements and apply a methodology to Network Design . (BT Level 4)
2. Describe Ethernet Design Rule s of server farm design and DMZ design. (BT Level 2)
3. Design and analyse Basic Campus and Data Centre Network. (BT Level 6)
4. Design and apply the concepts of Enterprise Wireless LAN . (BT Level 6)

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5. Explain the concepts of SAN and its applications . (BT Level 2)
6. Describe OpenFlow controllers and switches in SDN . (BT Level 2)


Prerequisite : Basic knowledge of Networking techniques.

DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Basic knowledge of Networking techniques,
Networking Topology, OSI Layer,
Internetworking Devices, IP addressing. 02 --
I Enterprise Network
Design
Network Design Methodology:
Cisco Architectures for the Enterprise; Cisco
Design Lifecycle - Plan, Build, Manage; Prepare,
Plan, Design, Implement, Operate, and Optimize
Phases; Identifying Customer Design
Requirements, Characterizing the Existing
Network, Designing the Network Topology and
Solutions; Network Design Models: Hierarchical
Network models, Cisco Enterprise Architecture
model - Enterprise Campus Module, Enterprise
Edge Area Module, Service Provi der Edge Module,
Remote Modules; High Availability Network
Services: Workstation to Router redundancy and
LAN High Availability protocols, Route and Se rver
Redundancy, Load Balancing, link Media
Redundancy.
Self-learning Topics : Overview of Analysis,
Architecture, and Design Processes, Architectural
models, Juniper Networks, Network Management
Protocols and Features. 08 CO1
II Enterprise LAN
Design Ethernet Design Rules: 100 Mbps Fast Ethernet
Design rules, Gigabit Ethernet Design Rules, 10
Gigabit Ethernet Design rules, 10GE Media types,
Campus LAN Design and Best Practices, STP
Design Considerations, Cisco STP Toolkit,
Server Farm Module, Campus L AN QoS
considerations. Multicast Traffic considerations.

Self-learning Topics : DMZ, Understanding
Working of Repeater, hub, Bridge, routers,
Layer2/3 Switch. 06 CO2
III Data Center Design Enterprise DC architecture, data center foundation
components, dat a center topology components,
Network programmability, challenges in DC,
Enterprise data center infrastructure, Virtualization
Overview, Virtualization Technologies, Data
Center Interconnect (DCI), Load balancing in the
DC; Architecture Considerations, Ser vice Layers 08 CO1, CO3

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Model of Cloud computing; Cloud Reference
Architecture Framework, Cloud Data Center
Building Blocks. Cloud Data Center Technology
Architecture Trust in Cloud Data Center,
Compliance and SLA; Data Center Security, Data
Center Tiers.
Self-learnin g Topics: Case study on Data Center
Top-of-Rack Architecture Design, NSI/NECA/
BICSI -002 Data Center Design and
Implementation Best Practices.

IV Enterprise Wireless
LAN Architecture Wireless LAN Technologies, Cisco Unified
Wireless Network, WLAN Authentication,
WLAN Controller Components, Roaming and
Mobility Groups, WLAN Design - Controller
Redundancy design.
Self-learning Topics : Narrow Band, Spread
Spectrum, FHSS, DSS S. 05 CO1,CO4
V SAN Need for storage Network, Data Protection and
RAID, Storage Network Architecture and IP
storage, Storage Network Backup and Recovery,
Storage and Network in Storage Network, Software
for Storage Network, Adopting and Managing
SAN.

Self-learning Topics : Case study on SAN and
RAID 04 CO1, CO5
VI Software Defined
Network Understanding SDN and Open Flow : SDN –
Network Virtualization Techniques, SDN Building
Blocks, Open Flow messages – Controller to
Switch, Symmetric and Asynchronous messages,
Implementing Open Flow Switch, OpenFlow
controllers , PoX and NoX, NetApp Development
on top of SDN, Open Flow in Cloud Computing.

Self-learning Topics : Case study on how SDN
changed T raditional Enterprise network Design
06 CO1, CO3,
CO6

Text Books:
1. CCDA 200-310 Official Cert Guide by Anthony Bruno and Steve Jordan, Cisco Press, 2016.
2. Cisco Cloud Computing - Data Center Strategy, Architecture, and Solutions by Kapil Bakshi - Cisco Systems
White paper , 2009.
3. Software Defined Networking with Open Flow : PACKT Publishing Siamak Azodolmolky, 2013.
4. Storage Area Network Essentials: A Complete Guide to Understanding and Implementing SANs by Richard Barker,
Paul Massiglia, Wiley India , 2002.
5. Cisco SD -WAN Design Guide, April 2022.
Reference Books:
1. Network Analysis, Architecture, and Design 3rd E dition, Morgan Kaufman, James D,2007.
2. Storage Networks explained by Ulf Troppen, Wiley publication,2009.
3. Data Center Top -of-Rack Architecture Design , White paper . Cisco Systems. April 18, 2011. Retrieved July 10,
2013.
4. Cisco Data Center Infrastructure 2.5 Design Guide , 2013.
5. Enterprise Network Design, Neeraj Khairwal, Tru pti Lotlikar, Staredu solutions,2019.

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6. Storage Networ k Management and Retrieval by Dr. Vaishali Khairnar, Nilima Dongre, Wiley India , 2015.

Online References:















Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination. S.No Website/Reference link
1. https://en.wikipedia.org/wiki/TIA -942

2. https://ciscodatacenter.files.wordpress.com/2009/07/data -center -top-of-rack-
architecture -design.pdf

3 https://www.bicsi.org/docs/default -source/publications/002 -2019 -preview.pdf

4. https://www.cisco.com/c/en_in/solutions/data -center -virtualization/what -is-a-data-
center.html

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

6.. https://www.juniper.net/documentation/en_US/release -
independent/junos/topics/concept/m7i -pfe-architecture.html

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Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISC102 Cryptography
and PKI 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme

Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISC102 Cryptography
and PKI 20 20 20 80 -- -- -- 100

Course Objectives:
1. Provide knowledge of Cryptography.
2. Provide Knowledge of Symmetric key Algorithms.
3. Provide knowledge of Asymmetric key algorithms
4. Give insight on Message Authentication and Hash Functions.
5. Understand the concepts of Digital Signatures and Public Key Infrastructure.
6. Provide knowledge of techniques used for secure computation

Course Outcomes:
Students will try to

1. Apply the knowledge & concepts of Cryptog raphy for secure communications. (BT Level 3)
2. Understand and Implement Symmetric Algorithms. (BT Level 2)
3. Understand Implement Asymmetric Algorithms. (BT Level 2 )
4. Develop Message Authentication and Hash Functions. (BT Level 6)
5. Apply the Identif y the concepts of Digital Signatures and Public Key Infrastructure. ( BT Level 3)
6. Analyze and Explain algorithms used for Secure Computation (BT Level 4)
Prerequisite: Computer Networks OSI layers

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DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Computer Networks OSI layers 02 _
I Cryptography Cryptography: Concepts and Techniques:
Plain Text and Cipher Text, Substitution
Techniques, Transposition Techniques,
Encryption and Decryption, Symmetric and
Asymmetric Key Cryptography, Key Range and
Key Size, Possible Types of Attacks
Stegnography in Mulimedia, Stegnography
in Networks
Self-learning Topics:
Security Trends, Model for Network Security. 06 CO1
II Symmetric Key
Algorithms Symmetric Key Algorithms:
DES,3DES, AES, Confidentiality using
Symmetric encryption. Blowfish algorithm
Self-learning Topics:
Block ciphers : IDEA, RC4, RC5 05 CO2

III Number Theory &
Asymmetric Key
Algorithms Public - Key Cryptography and RSA:
Introduction to Number Theory:
Prime Numbers, Fermat’s and Euler’s
Theorems, Testing for Primality, Modular
Functions , Principles of Public -Key
Cryptosystems, RSA, ElGamal cryptosystem,
Key Manageme nt, Diffie -Helman Key
Exchange, Elliptic Curve Cryptography.
Self-learning Topics :
Random Number Generation algorithm for
prime numbers. 09 CO3
IV Message
Authentication and
Hash Functions Message Authentication and Hash Functions:
Authentication Requirements, Authentication
Functions, MAC, Hash Functions, Security of
Hash Functions and MACs, SHA -512, HMAC ,
CMAC
Self-learning Topics:
MD5 Algorithm
06 CO4

V Digital Signatures and
Public Key
Infrastructure Digital Signatures and Public Key
Infrastructure (PKI): Digital
Signatures, DSS, Authentication
Protocols: Kerberos, Digital Certificates,
Private Key Management, PKI Trust Models,
Public Key Cryptography Standards,
Revocation, Directories and PKI
Self-learning Topics:
Authentication Applications:
05 CO5

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VI Secure Computation s Principal of Secure computation:
Homom orphic algorithms, Charactristics,
Limitations, Fully homomorphic, c omputational
Model -addition, subtraction, multiplication,
Division
Self-learning Topics:
Half homomorphic encryption 06 CO6

Text Books:

1. Information Security Principal and Practice: Mark stamp, Wiley , 2018
2. Cryptography and security, wiley, Shyamala, harini ,2011
3. Stallings, W., “Cryptography and Network Security”, Fourth Edition, Pearson , 2017
4. Introduction to Cryptography with coding Theory, Pearson,WadenTrappe ,2020
5. Forouzan B., “Cryptography and Network Security”, Second Edition, Tata McGraw Hill ,
2015


Reference Books:

1. Bernard Menezes, “Network Security and Cryptography”, Cengage Learning, 2010
2. Charl ie Kaufman, Radia Perlman and mike speciner "Network security, private communication in a public
world", Second Edition, Pearson , 2016
3. Xun and Paulet, Russell and Bertino, Elisa , “Homomorphic Encryption and Applications ”, Springer Publishing
Company ,2014
4. Chatterjee, Ayantika, and Khin Mi Mi Aung. 2019. Fully homomorphic encryption in real world applications.
Singapore : Springer, 2019.

Online References:











S.No Website/Reference link
1. https://eprint.iacr.org/2015/1192.pdf
2. https://link.springer.com/book/10.1007/978 -3-319-12229 -8
3. https://onlinecourses.nptel.ac.in/noc20_cs02/preview
4. https://www.coursera.org/lecture/security -privacy -big-data-
protection/homomorphic -encryption -H8Une
5. https://shaih.github.io/pubs/he -chapter.pdf

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Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

Page 17

Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEIS CPE10 31 GPU
Architecture
and
programming 03 -- -- 03 -- -- 03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEIS CPE10 31 GPU
Architect
ure and
program
ming 20 20 20 80 - - - 100

Course Objectives: Students will be able to :
1. To understand the basics of GPU architectures
2. To explore parallel development environment on CUDA
3. To investigate GPU programing models
4. To study limitations and challenges of GPU programming
5. To study OpenCL basics.
6. To write programs for massively parallel processors
Course Outcomes: Students will be able to :
1. Understand different parallel processing approaches and GPU computing architecture - (BT-L2)
2. Understand CUDA architectural de tails - (BT-L2)
3. Explore basic GPU programming constructs - (BT-L3)
4. Understand the issues in mapping algorithms for GPUs - (BT-L2)
5. Develop basic applications using OpenCL - (BT-L4)
6. Design and Develop GPU based solutions to solve computationally intensiv e problems in various fields
- (BT-L6)
Prerequisite:
1. Computer Organization and Architecture
2. Operating System
3. Distributed Computing

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DETAILED SYLLABUS:
Sr. No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Introduction to distributed system,
characteristics, Introduction to Parallel
processing 2 CO1
I Introduction Parallel Architecture, Parallel Platforms,
Performance measures GPU Architecture:
Evolution of GPU Architectures, Typical GPU
architecture, CPU -GPU interaction, Address
Spaces, Software Architecture 4 CO1
II CUDA: GPU Parallel
Development
Environment Compute Unified Device Architecture
(CUDA) Architecture, CUDA pro gramming
model, execution model Thread organization:
Concept of threads, Blocks, grid, thread index
generation, warp Scheduling - Memory
Handling with CUDA: Shared Memory, Global
Memory, Constant Memory and Texture
Memory 6 CO2
III CUDA Algorithms and
Programming GPU primitives: scan (exclusive or incl usive),
scatter, gather, reduce CUDA structure, API
and library (CUDPP, CUBLAS, FFT etc.
Using CUDA - Optimizing CUDA
Applications: Problem Decomposition,
Memory Considerations, Transfers, Thread
Usage, Resource Contentions 6 CO3
IV CUDA: Programming
Issues Common
Problems CUDA Error Handling, Parallel Programming
Issues, Synchronization, Algorithmic Issues 7 CO4
V OpenCL Basics OpenCL Standard Kernels – Host Device
Interaction – Execution Environment
Memory Model Basic OpenCL Examples 7 CO5
VI Algorithms on GPU Vector dot product, Matrix multiplication
Graph algorithms, dense linear algebra, etc.
using GPU GPU Analytics Parallelization in
Quantum Computing, Parallel quantum
computation basic 7 CO6
Self-Learning (optional) NPTEL Course on GPU Architectures and Programming
(https://onlinecourses.nptel.ac.in/noc20_cs41/preview )

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Useful Links: http://www.nvidia.com/object/cuda_home_new.html
http://www.openCL.org
CUDA: docs.nvidia.com/cuda
https://cuda -tutorial.readthedocs.io/en/latest/
https://people.csail.mit.edu/nhm/pqc.pdf


Text Books:
1. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar, 2nd edition, Introduction to Parallel
Computing,” Addison -Welsey, © 2003.
2. Shane Cook, CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of
GPU Computing), First Edition, Morgan Kaufmann, 2012.
3. David R. Kaeli, Perhaad Mistry, Dana Schaa, Dong Ping Nicholas Wilt, CUDA Handbook: A
Comprehensive Guide to GPU Programming, Addison - Wesley, 2013.
References:
1. Jason Sanders, Edward Kandrot, CUDA by Example: An Intr oduction to General Purpose GPU
Programming‖, Addison - Wesley, 2010.
2. David Kirk, Wen -meiHwu, “CUDA: Programming Massively Parallel Processors: A Hands -On Approach. ©
ELSEVIER Inc.
3. Nicholas Wilt, CUDA Han dbook: A Comprehensive Guide to GPU Programming, Addison -Wesley, 2013.

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination



Subject Code Subject Name Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEIS CPE10 32 Fundamental of
Statistics for AI 03 - - 03 - - 03

Subject Code Subject Name Examination Scheme
Theory Marks Term
Work Practical Oral Total Internal assessment End
Sem. Test1 Test 2 Avg. of 2

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Tests Exam
MEIS CPE10 32 Fundamental of
Statistics for AI 20 20 20 80 03 - - 100

Course Objectives:
1. Understand statistical foundations.
2. Explore data types and operations to be performed.
3. Preprocess the data using various EDA techniques.
4. Analyze data using various sampling and distribution techniques
5. Use various statistical testing methods.
6. Evaluate the model using different performance parameters .

Course Outcomes:
Students will be able to
1. Understand the importance and concepts of linear algebra, statistics, and probability [BT level 1].
2. Understand the types of data and operations performed on them[BT level 2].
3. Apply various exploratory data analysis techniques [BT level 3].
4. Apply the knowledge of sampling and distribution techniques to explore its significance [BT level 3].
5. Apply the knowledge of testing to outline the conditions for a particular test [BT level 3].
6. Analyze and evaluate the different performance parameters [BT level 3].

Prerequisite: Fundamentals of Probability and Statistics.
DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Pre-requisite Fundamentals of Probability and Statistics.
2
1 The role of Statistics
in Engineering The engineering method and Statistical thinking,
Collecting Engineering Data, Observational
Study, Mechanistic and empirical models.
Self Learning topic : Case study from different
Industry and Sectors where role of statistics is
prominent 2 CO1
2 Linear Algebra in
Probability and
Statistics Mean Variance and probability; Covariance
Matrices and Joint Probability; Multivariate
Gaussian and Weighted Least Squares.

Self Learning topics: Case studies on measure of
central values and Probabilities for any given
problem statement. 6 CO2
3 Exploratory Data
Analysis Elements of structured data; Estimates of
location; Estimates of variability; Expectations
and moments; Exploring the data distribution;
Exploring binary and
Categorical data; Covariance and correlation.

Self Learning topics: Case study on EDA for
any given problem statement. 8 CO3

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4 Data and Sampling
Distributions Random sampling and sample bias; Selection
bias; Central limit theorem; Standard error;
Bootstrap; Confidence intervals; Normal
distribution; Long -tailed distributions; Student’s
t-distribution; Binomial distribution; Poisson
distributions; Exponential distribution; Weibull
distribution.

Self Learning: Case stu dy on sampling for any
given problem statement. 8 CO4
5 Statistics and
Significance Testing Hypothesis testing; A/B testing; Chi -square test;
confidence intervals; p -values; ANOVA; t -test;
Confidence (statistical) intervals; Degrees of
free, White -noise process.

Self Learning: Case study on different
testing using different samples for any
given problem statement. 7 CO5
6 Evaluation and
Optimization Mathematics in algorithmic performance
evaluation: Confusion matrix; Precision; Recall;
Specificity; ROC Curve; Optimization: Global
and local optima; Unconstrained and constrained
optimization;Introduction to least squares
optimization.

Self Learning: Case study on doing
performance evaluation and improving
performance for any given problem
statement. 6 CO6

Text Books:
1. Applied Statistics and Probability for Engineers, 6ed, ISV by Douglas C. Montgomer,2016
2. G. Strang, Introduction to Linear Algebra , 5th edition, Wellesley -Cambridge Press, USA,2016.
3. P. Bruce and A. Bruce, Practical Statistics for Data Scientists: 50 Essential Concepts, O’Reilly,2017.
4. C. O’Neil and R. Schutt, Doing Data Science, O’Reilly,2013.

Reference Books:
1. W. Hines, D. Montgomery, D. Goldman, C. Borror, Probability and Statistics in Engineering, 6ed, ISV, Wiley
India Pvt. Ltd, 2016.
2. A. Agresti, C. Franklin, B. Klingenberg, Statistics: The Art and Science of Learning from Data, Global Edition,
Pearson,2017.

Online References:
S.No Website/Reference link
1. NPTEL :: Special Series - ACM Summer School In Data Science,2018 - Goa
2. Mathematics for Data Science | Coursera
3. NPTEL :: Mathematics - NOC:Constrained and unconstrained op timization
4. https://ieeexplore.ieee.org/document/9077835

Page 22

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination





Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE
1033 Advanced Web
Technology 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISCPE1
033 Advanced
Web
Technology 20 20 20 80 -- -- -- 100

5. https://www.coursera.org/lecture/machine -learning -with-python/evaluation -metrics -
in-classification -5iCQt

Page 23

Course Objectives:
1. To apply HTML 5 and CSS to design web application
2. To apply the concepts of Angular JS to develop dynamic web applications
3. To develop SOAP/REST -based web services
4. To design and develop Rich Internet Applications.
5. To explain various technique s of web analytics
6. To explain advanced concepts of Web 3.0 and Semantic web

Course Outcomes:
Students will be able to
1. Design website using HTML, CSS and scripting languages ( BT Level 6)
2. Design dynamic web apps using AngularJS framework ( BT Level 6)
3. Develop web services using REST and SOAP protocols ( BT Level 6)
4. Design Rich Internet Application (RIA) ( BT Level 6)
5. Apply web analytics to websites ( BT Level 3)
6. Define and explain web 3.0 and the semantic web ( BT Level 2)

Prerequisite - Computer Networks

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Introduction to web technologies : Web system
architecture - 1,2,3 and n tier architecture, W3C. 02
I Web Technology
Basics Basic HTML : Anchors, images, lists, tables.
HTML 5: Fundamental Syntax and Semantics,
Progressive Markup and Techniques, Forms,
Native Audio and Video.
CSS: Syntax of CSS,Exploring CSS Selectors,
Inserting CSS in an HTMLDocument, Selectors,
Typography and color
TypeScript : Environment Setup, TypeScript
Types, variables and operators, Decision Making
and loops, TypeScript Functions, TypeScript
Classes and Objects, TypeScript Modules
Self-study Topics: -Publishing of Web Site.
Function of Web Server, Formatting and Fonts , 7 CO1
II Introduction to
AngularJS Overview of AngularJS, Need of AngularJS in
real web sites, AngularJS modules, AngularJS
built-in directives, AngularJS custom directives,
AngularJS expressions, Angular JS Data
Binding, AngularJS filters, AngularJS
controller s, AngularJS scope, AngularJS
dependency injection, Angular JS Services,
Form Validation, Routing using ng -Route, ng -
Repeat, ng -style, ng -view, Built -in Helper
Functions, Using Angular JS with Typescript
Self-learning Topics: MVC model, DOM model,
Javascri pt functions and Error Handling 6 CO2

Page 24

III Web Services Web Services: Web services, Evolution and
differences with distributed computing, XML,
WSDL, SOAP, UDDI, Transactions,
REST -ful web services, Resource -Oriented
Architecture, Comparison of REST, SOA,
SOAP.
Self-study Topics: -Business Process
Execution Language for Web Services. 6 CO3
IV Rich Internet
Application (RIA) Introduction to Ajax: Ajax Design Basics,
JavaScript, Blogs, Wikis, RSS feeds
Working with JavaScript Object Notation
(JSON): Create Data in JSON Format, JSON
parser, Implement JSON on the server Side,
Implementing Security and Accessibility in
AJAX
Applications: Secure AJAX Applications,
Accessible Rich Internet Applications,
Developing RIA using AJAX techniques: CSS,
HTML,DOM, XMLHTT PRequest, JavaScript,
PHP, AJAX as RESTClient
Self-study Topics –
Open Source Frameworks and CMS for RIA:
Django, Drupal, Joomla introduction and
comparison. 6 CO4

V Web Analytics 2.0 Introduction to Web Analytics 2.0 1: State of the
Analytics Union, State of the Industry,
Rethinking Web Analytics: Meet Web Analytics
2.0, Optimal Strategy for Choosing Your Web
Analytics Soul Mate. The Awesome World of
Clickstream Analysis: Metrics.
Self-study Topics -The Key to Glory:
Measuring Success. Failing Faster: Unleashing
the Power of Testing and Experimentation. 6 CO5
VI Web 3.0 and
Semantic Web Web 3.0 and Semantic Web : Challenges,
Components, Semantic Web Stack: RDF, RDF
Schema (RDFS), Simple Knowledge
Organization System (SKOS), SPARQL as RDF
query language, N -Triples as a format for
storing and
transmitting data, Turtle (Terse RDF Triple
Language), Self-study Topics -Web Ontology
Language (OWL) a family of knowledge
representation lang uages, Rule Interchange
Format (RIF), a framework of web rule language
dialects supporting rule interchange on the Web. 6 CO6
Text Books:
1. INC, Kogent Learning Solutions. "HTML 5 Black Book." (2011).
2. Cherny, Boris. Programming TypeScript: making your JavaScript applications scale . O'Reilly Media, 2019.
3. Dayley, Brad, Brendan Dayley, and Caleb Dayley. Node. js, MongoDB and Angular Web Development: The
definitive guide to using the MEAN stack to build web applications . Addison -Wesley Professional, 201 7.
4. O'reilly, Tim. "What is Web 2.0: Design patterns and business models for the next generation of
software." Communications & strategies 1 (2007): 17.
5. Davies, John, Rudi Studer, and Paul Warren, eds. Semantic Web technologies: trends and research in ontology -
based systems . John Wiley & Sons, 2006.

Page 25

6. Kaushik, Avinash. Web analytics 2.0: The art of online accountability and science of customer centricity . John
Wiley & Sons, 2009.
Reference Books:
1. Antoniou, Grigoris, and Frank Van Harmelen. A semantic web primer . MIT press, 2004.
2. Barker, Deane. Web content management: Systems, features, and best practices . " O'Reilly Media, Inc.", 2016.
3. John Domingue, Dieter Fensel, Handbook of Semantic Web Technologies, Springer Reference
4. Liyang Yu, a Developer’s Guide to the Semantic Web, Second Edition, Springer

Online References:












List of Experiments: based on Laboratory Practical’s/ Case studies
1. Design a secure and dynamic website with features like login for users, Session management, and Encryption.
2. A mini project based on REST API and web analytics 2.0
3. Apache Jena based RDF and SPRQL based Tutorials
Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination














S.No Website/Reference link
1. www.jena.apache.org/tutorials/rdf_api.html.
2. https://www.tutorialspoint.com/web_development_tutorials.html
4. https://nptel.ac.in/
5. https://www.coursera.org

Page 26

Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE10 34 IT Security
Laws and
Compliance 03 -- -- 03 -- -- 03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Tes
t1 Test 2 Avg. of 2
Tests
MEISCPE10 34 IT Security
Laws and
Complianc
e 20 20 20 80 -- -- -- 100
Course Objectives:
1. To understand the basic concepts of security. And laws related to it.
2. To study the Fundamentals of IT Security Law and Policy.
3. To study E-Records, E-Discovery and Business Law
4. To study and understand Contracting for Data Security and Other Technology
5. To study and understand the Law of IT Compliance
6. To understand and apply Law to Emerging Dangers
Course Outcomes:
1. To understand the Security Laws. –(BT-L2)
2. To understand the Fundamentals of IT Security Law and Policy. (BT-L2)
3. To understand E-Records, E -Discovery and Business Law (BT-L2)
4. To understand Contracting for Data Security and Other Technology (BT-L2)
5. To study and understand the Law of IT Compliance (BT-L2)
6. To understand and apply Law to Emerging Dangers (BT-L2)

Prerequisite: Security


DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Basic Concepts of Security. 01
I Introduction: Laws, Investigation and Ethics: Cyber
Crime, Information Security and
Law, Types & overview of Cyber
Crimes, Cyber Law Issues in E -
Business Management Overview of
Indian IT Act, Ethical Issues i n
Intellectual property rights , Copy 05 CO1

Page 27

Right, Patents, Data priva cy and
protection, Domain Name, Software
piracy, Plagiarism, Issues in ethical
hacking.
Self-Learning Topic:
Study of Indian IT Act, Copy Right,
Patents.
II Fundamentals of IT
Security Law and
Policy:
Security Policy, Privacy Notice &
Privacy Laws, Computer Crime Laws,
Intellectual Property, Non -Disclosu re
Agreements and Terms of Use,
Honeypots & Entrapment, Active
Defenses, Hacking Back
Self-Learning Topic:
Study of Intellectual Property 05 CO2
III E-Records, E -
Discovery and
Business Law:
Vicarious Liability, E -Discovery,
Records Retention, Destruction, Email
Retention, Forensics, Privacy Policies,
Evidence Law, Signatures
Self-Learning Topic:
Study of Business Laws and discovery
of e-records. 05 CO3
IV Contracting for Data
Security and Other
Technology:
Click Through Agreements, Contract
Formati on, Battle of the Forms,
Liability, Breach, Bonds, Assent,
Warra nty, Remedies, Liens,
Ownership Issues, Subpoenas,
Documentation, A udits, Exceptions,
Maintenance, Termination, Escrow ,
Investigatio ns, Competition, Disputes,
Non-Disclosure
Self-Learning Topic:
Case study on Data Security using
Blockchain Technology. 08 CO4
V The Law of IT
Compliance: How to
conduct
investigations:
Cooperation with investigations,
Numerous Examples of Fraud (Post -
Mordems), SOX, Securities Fraud,
Federal Sentencing Guidelines, Codes
of Ethics, Hotlines, Reporting,
Whist leblowing, Employee
Monitoring, Entrapment, Raids &
Seizures
Self-Learning Topic: 08 CO5
VI Applying Law to
Emerging Dangers:
Cyber Defense
Sony Root Kit Case Study, Crisis
Communications, Choice point Case
Study, Relationship with Law
Enforcem ent, TJX Case Study,
Publicity, Safely Monitoring Threats
w/o Incurrin g Liability, Factors
Mitigating Legal Risk, Public
Accountability, Politi cal Diplomacy,
Competitive Boundaries

Self-Learning Topic: Study of
Strategic Legal Procedures. 07 CO6

Page 28

Text & Reference Books:
1. Sood,“Cyber Laws Simplified”, Mc Graw Hill
2. Anthony Reyes, “Cyber Crime Investigations: Bridging the Gaps Between Security
3. Professionals, Law Enforcement, and Prosecutors”
4. Marcia P. Miceli, “Whistle -Blowing in Organizations”,


Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination

Page 29

Theory Practical Tutorial Theory Pract ical/
Oral Tutorial Total
MEIS CPE10
41 Quantum
Computing 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEIS CPE
1041 Quantum
Computing 20 20 20 80 -- -- -- 100
Course Objectives: Students will able to learn
1. To know the fundamentals of Quantum computing and its applications
2. To understand the efficient quantum algorithms for several basic promise problems.
3. To gain knowledge about quantum computers and their principles.
4. To understand the working of various quantum algorithms.
5. To gain knowledge about different quantum error and its correction techniques.
6. To gain knowledge about different quantum cryptographic algorithms.

Course Outcomes: Students will able
Bloom ’s
Taxonomy Level
1. Basics of Quantum computing and its applications. L1
2. Solve various problems using quantum algorithms. L3
3. Methodology for quantum computers and their principles L2, L3
4. To gain knowledge about different quantum algorithms. L1, L2
5. Gain knowledge about different quantum error correction techniques. L1, L2
6. To gain knowledge about different quantum cryptographic algorithms. L1,L2
Prerequisite: NA

DETAILED SYLLABUS : total six module for each subject and total 36 hours to be distributed among six
modules.
Sr.
No. Module Detailed Content Hours CO
Mapping
I FUNDAMENT
ALS OF
QUANTUM
COMPUTING Fundamental Concepts: Introduction and
Overview – Global Perspectives – Quantum
Bits – Quantum Computation – Quantum
Algorithms – Experimental Quantum
Information Processing – Quantum
Information. Problems on Qubits
Self-learning Topics: Detail of Quantum
computing and its applications
https://www.ibm.com/quantum -
computing/what -is-quantum -computing/ 4 CO1
II
QUANTUM
COMPUTATIO
N Quantum Circuits – Quantum algorithms,
Single Orbit operations, Control Operations,
Measurement, Universal Quantum Gates,
Simulation of Quantum Systems, Quantum 6 CO2

Page 30

Fourier transform, Phase estimation,
Applications, Quantum search algorithms –
Quantum counting – Speeding up the
solution of NP – complete problems –
Quantum Search for an unstructured
database
Self-learning Topics: IBM Quantum
Composer
III QUANTUM
COMPUTERS Guiding Principles, Conditions for Quantum
Computation, Harmonic Oscillator Quantum
Computer, Optical Photon Quantum
Computer – Optical cavity Quantum
electrodynamics, Ion traps, Nuclear Magnetic
resonance.
Self-learning Topics: Qiskit 6 CO3
IV QUANTUM
INFORMATIO
NS Deutsch’s algorithm, BB84 algorithm, B92
algorithm, Three stage quantum
cryptography algorithm, compact coding,
Fourier sampling, Simon's algorithm,
Quantum Fourier transform, Number
theoretic preliminaries for factoring, order
finding and Hi dden subgroup problem
Grover search algorithm.
Self-learning Topics: Oracles, Deustch Jozsa 8 CO4
V
QUANTUM
ALGORITHMS Endpoint Security Bypass; Pivoting and
Lateral Movement; Hijacking Attacks;
Covering Tracks; Establishing
Persistence; Defense Spotlight: Real
Intelligence Threat Analytics; Data
Collection.
Self-learning Topics: VQE/QAOA 8 CO5
VI QUANTUM
CRYPTOGRAP
HY Quantum Cryptography -Private Key
Cryptography, Privacy Amplification and
Information Reconciliation, Quantum Key
Distribution, Privacy and Coherent
Information, The Security of Quantum Key
Distribution. Problems on Quantum error
correction and cryptography .
Self-learning Topics:
Attacks on Quantum Cryptography 7 CO6
Text Books:
1. Chris Bernhardt,” Quantum Computing for Everyone”, (The MIT Press) Hardcover – Illustrate
,September 2020,
2. Willi -Hans Steeb; “Problems and Solutions in Quantum Computing and Quantum Information”, Yorick
Hardy Academic Consulting and Editorial Services (ACES) Private Limited, January 2020.
3. M.A. Nielsen and I.Chuang, “Quantum Computation and Quantum Information”, Cambridge University
Press 2010.
References:
1. Computer Science: An Introduction by N. David Mermin 5. Yanofsky's and Mannucci, Quantum
Computing for Computer Scientists.
2. Parag K. Lala ,Quantum Computing: A Beginner's Introduction Paperback” , McGraw Hill November
2020.
3. V. Sahni, “Quantum Computing”, Tata McGraw -Hill Publi shing company,2007.

Page 31

4. Nayak, Chetan; Simon, Steven; Stern, Ady; Das Sarma, Sankar, “Nonabelian Anyons and Quantum
Computation”, 2008.

Web Links: - 1) https://quantum -computing.ibm. com/composer/docs/iqx/guide/
2) https://www.javatpoint.com/what -is-quantum -computing
3) https://p ythonprogramming.net/quantum -computer -programming -tutorial/
4) https://onlinecourses.nptel.ac.in/noc19_cy31/preview

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination















Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE
1042 IOT and
Security 03 -- -- 03 -- -- 03

Page 32

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISCPE1
042 IOT and
Security 20 20 20 80 -- -- -- 100

Course Objectives:
Students will try to
1. Learn the concepts of IOT.
2. Identify the different technology for IOT.
3. Learn different applications in IOT.
4. Learn different protocols used in IOT.
5. Learn how to analyze the data in IOT.
6. Learn the concepts of Security in IOT.
Course Outcomes:
Students will be able to
1. Describe the concepts of IOT – BT Level 2
2. Apply basic Microcontroller Programming with various sensors - BT Level 3
3. Identify different Technologies required to implement IOT – BT Level 2
4. Analyze and evaluate different Cloud frameworks for IOT – BT Level 4, 5
5. Analyze and evaluate the data received through sensors in IOT - BT Level 4, 5
6. Analyze Security at various levels of IOT – BT Level 4

Prerequisite
Microcontroller, C Programming

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Microcontroller , Programming in C and Python 02 -
I Introduction to
Internet of Things Definition of Internet of Things (IoT), IoT Paradigm,
IoT Architecture – State of the Art, IoT Communication
Models, IoT in Global Context, Real world scenarios,
Different application Areas
Self-Learning Topic: New Trends in IOT Applications 04 CO1
II Open -Source
Prototyping
Platforms for IoT Basic Arduino Programming, Arduino – Based Internet
Communication, Raspberry PI, Sensors and Actuators
and Interfacing, Node MCU ESP 8266
Self-Learning Topic: Extended Arduino Libraries 07 CO2

III IoT Protocol
&
Technology RFID , NFC, Wireless Sensor Networks , RTLS , GPS,
Compositi on Models for the Web of Things (WoT) ,
IoTMashups, IoTcommunication Protocols –M2M,
Bluetooth, Wifi, ZigBee ; IoT application layer
Protocols - MQTT, CoAP 08 CO3

Page 33

Self-Learning Topic: WoT resource s on the Web,
Discovery, Search
IV Cloud for IOT Introduction, Cloud Frameworks for IoT: Things Work,
AWS, Microsoft Azure, IBM Cloud , Google cloud , IOT
cloud security architecture
Self-Learning Topic: Cloud of Thingsand Big Data. 06 CO4

V Data Analytics for
IoT and
Applications Introduction, Data analytics and visualization
tools: Tableau, Plotly etc. Case Studies and application :
Smart Homes, Healthcare, Logistics and Transport,
Structural health Monitoring
Self-Learning Topic: Chef, Chef Case S tudies, Puppet,
Puppet Case Study 05 CO5
VI IOT Security Security Requirements in IOT Architecture : Security at
Sensor Layer, Security at Microcontroller layer, Security
at Protocol Layer, Security at the Communication Link
Layer ; Security in Enabled Technology
Self-Learning Topic: Security and Privacy Issuesin IOT 07 CO6

Text Books:
1. The Inter net of Things (MIT Press) by Samuel Greengard.
2. The Internet of Things (Connecting objects to the web) by HakimaChaouchi (Wiley Publications).
3. Internet of Things ( A Hands -on-Approach) by ArshdeepBhaga and VijayMadisetti.
4. Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations

Reference Books:
1. The Internet of Things Key applications and Protocols, 2nd Edition, (Wiley Publication) by Olivier
Hersent, David Boswarthick and Omar Elloumi.
2. IoT –From Research and Innovation to Market development (River Publication) by OvidiuVermesan and
Peter Friess.
3. Building Internet of Things with Arduino by CharalamposDou kas.
Online References:









Assessment:
Internal Assessment Test:
S.No Website/Reference link
1. https://www.nabto.com/guide -iot-protocols -standards/
2. https://www.cloudofthings.com/
3. https://www.w3.org
4. https://internetofthingsagenda.techtarget.com/definition/IoT -security -Internet -of-
Things -security
1. https://onlinecourses.nptel.ac.in/noc21_cs17/preview

Page 34

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination






















Theory Practical Tutorial Theory Practical
/Oral Tutorial Tota
l
MEISCPE104 3 Cloud
Computing
Security 03 -- -- 03 -- -- 03

Page 35

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test
1 Test 2 Avg. of 2
Tests
MEISCPE1
043 Cloud
Computing
Security 20 20 20 80 -- -- -- 100
Course Objectives:
The students will learn
1 The basics of cloud computing
2 Different Virtualization Concepts
3 The basics of cloud services
4) About cloud and information security
5) The risks and threats which they will encounter in cloud computing
6 IAM and privacy practices used in cloud computing
Course Outcomes:
1)The student will be in a position to classify and discuss between different cloud computing models –
(BT-L1,L2)
2)The student will be able to select different virtualization techniques as per the needs (BT-L2)
3)The student will be able to use various cloud computing services (BT-L2)
4) The students will be able recognize the required security type for making the information secured
(BT-L2)
5)The students will be able to judge the risk and threats for their cloud computing applications (BT-L2)
6) The students will be a position to compare and examine their knowledge of IAM and privacy policies
for cloud computin g applications (BT-L2)

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite
Concepts of Computer Network
and Network security. 02 --
I Introduction to
Cloud Computing NIST Cloud Computing
Definition, Need for cloud
computing and its components,
Cloud types: NIST and Cloud
Cube Models, Cloud Deployment
Models, Service Models, NIST
architecture of cloud computing,
Characteristics, Advantages and
disadvantages of cloud computing.

Self-Learning Topics: Study of
differen t cloud computing
architectures and platforms 06 CO1
BL:2
II Virtualization Virtualization, requirement of
virtualization, Taxonomy of
virtualization.
Hypervisor: types, Mechanisms: 06 CO2
BL:2

Page 36

Binary translation, Hardware
Assisted virtualization, Para
virtualization, Full virtualization.
Implementation levels of
virtualization,
Types of virtualizations - Memory,
CPU, I/O, OS, Server.
Self-learning Topics:
Comparison of Virtualization
technolog y Examples: KVM,
XEN, Vmware, HyperV and
QEMU.
III Cloud Computing
Services
SPI Model of Cloud services,
Anything as a Service (XaaS):
Security as a Service, Identity
management as a Service,
Database as a Service, Storage as
a Service, Collaboration as a
Service, Compliance as a Service,
Monitoring as a Service,
Communication as a Service,
Network as a service, Application
as a service, Integration as service,
Disaster recovery as a service,
Analytics as a service and Backup
as a service
Self-learning Topics:
Comparison between different
cloud services provider and their
services.
06 CO3
BL:3
IV Basics of Cloud
and Information
security security, its requirement in cloud
computing, Different types of
security in cloud, Attacks, and
Vulnerabilities, Cloud computing
security architecture.
Information Security: Objectives,
AAA model, Cloud security
design principles, Secured cloud
software requirements and
development practices, Physical
security of the system, Resource
perspective of software security,
Goals oriented software security
requirements, Monitoring internal
and e xternal requirements.
Self-learning Topics:
Assessment of Cloud Security
services in different cloud
platforms like AWS, GCP and
Azure. 6 CO4
Bl:2

Page 37

V Risk, threats and
security in Cloud
computing CIA, Privacy and compliance risk,
Cloud service provider risk,
Hypervisor risk, Increased denial
of service risk, Cloud risk
assessment, Risk management
framework, Cloud provider and
consumers risk, Management
process,
Understanding threats, Common
threats, Infrastructure and host
threats, Service providers thre ats,
Generic threats, Threat assessment
vulnerabilities, virtual threats, VM
security recommendations and
VM specific security techniques
IasS security, PaaS security, SaaS
security, trust boundary, Audit and
reporting.

Self learning topics
Identification of risks and threats
in public cloud platforms like
AWS, GCP and Azure.
6 CO5
BL:4
VI IAM and Privacy
practices in the
Cloud
IAM :requirements, Challenges,
Definition, Architecture and
Practice , Relevant IAM Standards
and Protocols for Cloud Services.
Privacy: Key Privacy Concerns
in the Cloud.
Legal and Regulatory
Implications: Laws and
Regulations, Governance, Risk,
and Compliance (GRC)

Self-learning Topics:
Assessment of IAM and
compliance services in Public
cloud platforms like AWS, G CP 7 CO6
BL:4

Page 38

and Azure.


Text Books:
1. Cloud computing Bible by Barrie Sosinsky
2. Cloud Computing Black book by Kailash jayaswal, jagannath kallakurchi, Donald J Houde, Dr Deven
Shah
3) Cloud security: A comprehensive guide to secure cloud computing by ronold L Krutz and Russell
Dean Vines, wiley publishing inc
4) Cloud Security and Privacy by Tim Mather, Subra Kumaraswamy, and Shahed Latif, O’Reilly
Publication.
Reference Books:
1) Cloud application architectures by George reese
2) Cloud Computing by Shailendra Singh
3) Cloud computing security: foundation and challenges by john R vecca
4) Mastering cloud computing by Rajkumar Bhuyya, Christian Vecchiola, S. thamarai selvi
5) Cloud Computing by Dr Kumar Saurabh

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination















Theory Practical Tutorial Theory Practical/
Oral Tutorial Total

Page 39

MEISCPE10
44 Machine
Learning(ML
) 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISCPE
1044 Machine
Learning
(ML) 20 20 20 80 -- -- -- 100

Course Objectives: Students will learn
1. To understand the basics of of machine learning
2 To introduce different machine learning algorithms and concepts of computation learning in real world
problems.
3. To Evaluate clustering and Dimensionality Reduction concepts.
4. To analyze the Ensemble Methods for improving classification
5. To understand the basics of optimization techniques in machine learning a lgorithms
6. To introduce and understand the concept of artificial neural network and deep learning.
Course Outcomes: S tudents will be able to :

1) Understand the fundamentals of machine learning and machine learning models. BTL -2
2) Compare and apply various machine learning algorithms in real world applications. BTL -3
3) Design and formulate clustering and dimensionality reduction in the paradigm of
machine learning. BTL -6
4) Evaluate Ensemble Methods for improving classification. BTL -5
5)Apply op timization in formulating objective functions and solving engineering problems. BTL -3
6) Discuss the basic concepts of Artificial Neural Network and Deep Learning. BTL -2

Prerequisite: Data Mining, Linear Algebra and Calculus, Probability Basics







DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Data mining, Linear Algebra ,Calculus,
Probability Basics 2 -

Page 40

I Introduction
to Machine
Learning

Introduction to machine learning, Types
of Machine learning , Examples of
Machine Learning Problems, Structure
of Learning, Learning versus Designing,
Training versus Testing, Characteristics
of Machine learning tasks, Predictive
and descriptive tasks, Machine learning
Models: Geometric Models, Logical
Mode ls, Probabilistic Models. Features:
Feature types, Feature Construction and
Transformation, Feature Selection.

Self-learning Topics: AI versus
machine lear ning, comparison of
different machine learning models
4
CO1
II
Classification
and
Regression

Classification: Support Vector Machine,
K-NN, Decision Tree, Random Forest,
Bayesian Learning: Bayesian Theorem,
Concept learning, Maximum likelihood
and least square error hypothesis ,
maximum likelihood hypothesis for
predicting probability, minimum len gth
description, Ba yesian optimal classifier,
Gibbs Algorithm, Navy Baysian(NB)
classifier, Learning to classify text,
Bayesian Belief Network(BBN) ,Linear
Discriminant Analysis(LDA),HMM.
Regression: Linear Regression, simple
and multiple regressions, logis tic
regression, Ridge -regression, Lasso
regression, elastic net regression.

Self-learning Topics : Implementation
of the above algorithms
9
CO2

Page 41

III Clustering
and
Dimensionalit
y reduction

Clustering: Types of clustering,
Partition based clustering, hierarchical
clustering, and Expectation
maximization.
Dimensionality reduction: subset
selection, Principal component analysis
(PCA), Feature embedding, Factor
analysis, Singular value decomposition
(SVD)

Self-learning Topics: comparison of
PCA and SVD
7

CO3
IV Ensemble
Methods
Introduction to Ensemble Methods:
Bagging, Boosting , XG boost , Adaboost
, gradient boosting, Improving
classification accuracy of Class -
Imbalanced Data , Metrics for
Evaluating Classifier Performance,
Holdout Method and Random Sub
sampling, Cross -Validation, Bootstrap,
Model Selection Using Statistical Tests
of Significance, Comparing Classifiers
Based on Cost –Benefit and ROC
Curves , Synthetic minority over
sampling techniques ( SMOTE).
Self-learning Topics: Hyper parameter
tuning 6 CO4
V

Optimization
Techniques
Introduction, Classification of
Optimization Problems: Linear Vs Non -
linear programming Problems,
Unconstrained Minimization Problems,
Derivative Based Methods: Steepest
Descent Method, Newton's Method,
Derivative Free Methods: Random
Search Method, Downhi ll Simplex
Method; Derivative -Based Vs
Derivative - Free Optimization.
Self-learning Topics: Optimization
using Genetic Algorithm, Simulated
Annealing 7
CO5

Page 42

VI
Artificial
Neural
Network
(ANN) and
Deep
Learning
(DL)

Introduction to ANN, Neural network
representation, Problems, perceptrons:
Single and Multilayer networks, back
propagation and regularization, batch
normalizations; Applications in
Information security.
Deep Learning : Introduction,,
Machine Learning Vs Deep Learning,
Architecture of Deep Learning like
LSTM, autoencoders, working of Deep
Learning and applications .in
Information security
Self-learning Topics: Deep Belief
Networks 4 C06

Text Books:
1. Ethem Alpaydin, “Introduction to Machine Learning”, MIT Press, third edition,2014
2. Tom M. Mitchell, “Machine Learning”, McGraw Hill.1997
3. Anuradha Srinivasaraghavan, Vincy Joseph, “Machine Learning”, Wiley.2019
4. Sivanandan S.N, Deepa S. N., “Principles of Soft Computing”, Wiley, 2009
References:
1. Peter Flach: Machine Learning: The Art and Science of Algorithms that Make Sense of Data,
Cambridge University Press, Edition 2012.
2. Han Kamber, “Data Mining Concepts and Techniques”, Morgan Kaufman Publishers. third edition, 2012
3. Peter Harrington, “Machine Learning in Action”, Dre amtech Press,2012
4. Marsland S., “Machine Learning: An Algorithmic Perspective”, CRC Press,2014
5. Manaranjan Pradhan, U Dinesh Kumar, “Machine Learning using Python”, Wiley,2020
Online References:
1. http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning
2. https://machinelearningmastery.com/practical -machine -learning -problems/
3. https://onlinecourses.nptel.ac.in/noc22_cs29/preview
4. https://nptel.ac.in/courses/106106139
5. https://www.coursera.org/learn/machine -learning
Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination

Page 43

Theory Practical Tutorial Theory Practical Tutorial Total
MEISL101 Program Lab - 1 -- 2 -- -- 2 -- 2

Subject
Code Subject
Name Examination Scheme
Theory Marks Term
Work Practical Oral Total
Internal assessment End
Sem.
Exam
Test1 Test 2 Avg. of
2 Tests
MEISL10
1 Program
Lab-I -- -- -- -- -- 25 25 50
Lab Objectives: Students will try
1. To be familiarized with the requirements of an enterprise and provide suitable IP addressing plan and best
possible routing protocol for an enterprise network.
2. To recognize the hierarchical network model for the enterprise and construct a suitable design for an enterprise
netw ork and test it using Cisco packet Tracer.
3. To study OMneT++ simulation.
4. To study and implement Asymmetric Key Algorithms.
5. To implement Diffie -Helman Key Exchange algorithm.
6. To implement algorithms used in Secure computations.
Lab Outcomes: Students will be able to
1. Analyse customer requirements, routing protocols and design the Enterprise Network using CDNA
(BT Level 6).

Page 44

2. Configure Wireless LAN using Cisco packet Tracer (BT Level 6).
3. Implement a Network using OmneT++ and analyze the QoS parameters (BT Level 6).
4. Implement Asymmetric Key Algorithms (BT Level 6).
5. Implement the Symmetric Key Generation algorithm (BT Level 6).
6. Implement algorithms used in homomorphic encryption (BT Level 6).
Prerequisite: Basic knowledge of n etworking techniques (BT Level 6).
DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO Mapping
0 Prerequisite Basic knowledge of Networking
techniques, Networking Topology, OSI
Layer, Internetworking Devices. 02 -
I Internet Protocol and
Routing Protocols Internet Protocol Version 4 Design,
Internet Protocol Version 6 Design,
Routing Protocol Characteristics, RIP,
EIGRP, and IS -IS, OSPF, BGP, Route
Manipulation, and IP Multicast. 04 LO1
II WLAN
configuration Design Fundamentals: Campus Wireless
LAN, Infrastructure, wireless controllers,
wireless controller configuration data
model, Aps, Wireless design models,
Centralized deployments with guest
wireless. 04 LO2
III OMNeT++ and
CDNA WLAN configuration using packet tracer,
Getting started with OMNeT++, Installing
OMNeT++, OMNeT++ Simulations,
Creating and Running simulation. 04 LO3
IV Asymmetric Key
Algorithms Prime Numbers, Fermat’s and Euler’s
Theorems, Testing for Primality,Principles
of Public -Key Cryptosystems,RSA 06 LO4

Page 45

V Key management Key Management, Diffie -Hellman Key
Exchange algorithm 02 LO5
VI Secure Computation Principal of Secure computation, Homo -
morphic algorithms,Fully homo -
morphic,Computational Model -addition,
subtraction, multiplication, Division
04 LO6
Experiment list:
1. Implement DHCP, EIGRP, OSPF, PAT in an Enterprise Network using cisco packet tracer.
2. Design Wireless LAN and provide end to end communication using cisco packet tracer.
3. Create a network using OMneT++ and analyze the QoS parameters.
4. Designing Network and Automation using Cisco DNA.
5. Configuration of SAN using SimSANs (Simulating Storage Area Networks).
6. Implement RSA algorithm.
7.Implement Diffie -Helman Key Exchange algorithm.
8. Implement DES/AES algorithm.
9. Design and implement a homomorphic algorithm for addition of two single digit numbers.
Text Books:
1. CCDA 200-310 Offic ial Cert Guide by Anthony Bruno and Steve Jordan, Cisco Press, 2016.
2. Learning OMNeT++ has published a book in authored by Thomas Chamberlain, Packt Publishing , 2013.
3. Introduction to Cryptography with coding Theory, Pearson,WadenTrapp, 2020.
4. Forouzan B., “Cryptography and Network Security , Second Edition, Tata McGraw Hill, 2005.
Reference Books:
1. Authorized Self -Study Guide, Designing for Cisco Internetwork Solutions (DESGN), Second Edition,
Cisco Press -Diane Teare, 2007.
2. Enterprise Network Design, Neeraj Khairwal, Trupti Lotlikar, Staredu solutions, 2019.
3. Charlie Kaufman, Radia Perlman and mike speciner "Network security, private communication in a pub lic
world" , Second Edition, Pearson, 2022.
Online References:

Page 46

S.No Website/Reference link
1. https://www.cisco.com/c/en/us/td/docs/solutions/CVD/Campus/cisco -
campus -lan-wlan -design -guide.html
2. https://omnetpp.org
3. https://www.cisco.com/c/en_in/products/cloud -systems -management/dna -
center/index.html
4. https://www.simsans.o rg/
5. https://www.coursera.org/lecture/security -privacy -big-data-
protection/homomorphic -encryption -H8Une

Term Work:

Term Work shall consist of at least 10 practical based on the above list. Also Term Wor k Journal must include
Assignement as mentioned in above syllabus.

Term Work Marks : 25 Marks (Total marks) = 15 Marks (Experiments) + 5 Marks ( Assignments ) + 5 Marks
(Attendance )

Oral Exam : An Oral exam will be held based on the above syllabus.

Page 47

Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISL102 Skill Based
Lab-1 -- 02 -- 00 02 -- 02

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISL10
2 Skill Based
Lab-1 -- -- -- -- 50 50 -- 100
Course Objectives:
Sr. No Lab Objectives
The Lab experiments aims:
1 To understand the basic concepts of secure network architecture.
2 To understand the Access Control List (ACL) for secure data flow.
3 To Understand Network Address Translator (NAT).
4 To Understand use of firewall in design of secure network.
5 To Understand use of Intrusion detection system (IDS) & Intrusion prevention system (IPS) in
design of secure network.
6 To Understand network monitoring operations.

Course Outcomes:
Sr.
No Lab Outcomes Cognitive levels
of attainment as
per Bloom’s
Taxonomy
On successful completion, of course, learner/student will be able to:
1 Understand and describe network architectures. L1,L2,L3
2 Understand importance of and implementation of secure administrative access
on routers. L1,L2,L3
3 Understand and implement Network Address Translation. L1,L2,L3,L4,L5
4 Understand and implement Firewall. L1,L2,L3,L4,L5
5 Understand and implement Intrusion detection and intrusion prevention
system. L1,L2,L3,L4,L5
6 Understand DHCP and network monitoring operations. L1,L2,L3,L4,L5

Prerequisite: Introduction to Computer Networking


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Computer Networking 2

Page 48

I Secure Network Network threats, mitigation techniques
and the basics of securing a network.
4
II ACL Secure administrative access on a
router. Standard ACLs and how to
configure ACLs. 4
III NAT
Implementation Requirements of NAT, Variations of
NAT. Implementation of NAT to
secure the network. 4
IV Design of Firewall Exploration of firewall technologies.
Cryptography Implement firewall
technologies to secure the network
perimeter. 4
V Implementation of
IDS and IPS Methods for implementing data
confidentiality and integrity. IDS and
IPS function and operation. Categories
of IPS and IDS. 4
VI DHCP and Network
Monitoring An introduction to DHCP. High level
design. Monitoring network
operations. 4
Text Books:
1. Odom, W. "CCNA ICND 2". Cisco Press, 2008. Cisco Networking Academy Programme.
2. "CCNA4 Exploration, Accessing the WAN", Graziani, R & Vachon, B., Connecting Networks Companion
Guide, Cisco Press (2014).
Guidelines for Mini Project as per above syllabus.
 Students shall form a group of 3 to 4 students, while forming a group shall not be allowed less than three
or more than four students, as it is a group activity.
 Students should do survey and identify needs, which shall be converted into problem statement how to
contribute to open so urce mini project in consultation with faculty supervisor/head of department/internal
committee of faculties.
 Students shall submit implementation plan in the form of Gantt/PERT/CPM chart, which will cover
weekly activity of recent contribute to open sourc e mini project.
 A log book to be prepared by each group, wherein group can record weekly work progress,
guide/supervisor can verify and record notes/comments.
 Faculty supervisor may give inputs to students during mini project activity; however, focus shall be on
self-learning.
 Students in a group shall understand contribute to open source problem effectively, propose multiple
solution and select best possible solution in consultation with guide/ supervisor.
 Students shall convert the best solution into working model using various components of their domain
areas and demonstrate.
 The solution to be validated with proper justification and report using open source tools to be compiled
in standard format of University of Mumbai.
 With the focus on the self -learning, innovation, addressing societal problems and entrepreneurship quality
development within the students through the open source Mini Projects.

Guideline s for Assessment of Mini Project:
Term Work
 The review/ progress monitoring committee shall be constituted by head of departments of each
institute. The progress of mini project to be evaluated on continuous basis, minimum two reviews
in each semester.
 In continuous assessment focus shall also be on each individual student, assessment based on
individual’s contribution in group activity, their understanding and response to questions.
 Distribution of Term work marks for both semesters shall be as below;

Page 49

o Mark s awarded by guide/supervisor based on log book : 30
o Marks awarded by review committee : 10
o Quality of Project Report :05


Term Work:

Term Work shall consist of at least 10 practical based on the above list. Also Term Work Journal must include
Mini -Project as mentioned in above syllabus.

Term Work Marks : 50 Marks (Total marks) = 45 Marks (Mini -project) + 5 Marks (Attendance)

Oral Exam : An Oral exam will be held based on the above syllabus.

Page 50

Course Code Course Name Credits
IE1011 Product Life Cycle Management 03


Course Objectives: Students will try :
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

Course Outcomes: Students 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



Module
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 ProductDesign: 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 Plannin g 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 Data, PDM systems and
importance, Components of PDM, Reason for implementing a PDM system,
financial justification of PDM, barriers to PDM implementation 05
04 Virtual Product Development Tools: For components, machines, and
manufacturing plants, 3D CAD systems and realistic rendering techniques, 05

Page 51

Digital mock -up, Model building, Model analysis, Modeling and simulations in Product
Design, Examples/Case studies


05 Integration of Environmental Aspects in Product Design: Sustainable
Development, Design for Environment,Need for Life Cycle Environmental Strategies,
Useful Life Extension Strategies, End -of-Life Strategies, Introduction of Environmental
Strategies into the Design Process, Life Cycle Environmental Strategies an d
Considerations for Product Design 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 consists of two tests out of which; one should be compulsory class test and the other is either a
class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper.Minimum 80% syllabus should be covered in question papers
of end semester examination. In question pap er weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.


REFERENCES:

1. John Stark, “Product Lifecycle Management: Paradigm for 21st Century Product Realisation”, Springer -
Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, AntoninoRisitano, “Product Design for the environment -A life cycle
approach”, Taylor & Francis 2006, ISBN: 0849327229
3. SaaksvuoriAntti, ImmonenAnselmie, “Product Life Cycle Management”, Springer, Dreamtech, ISB N:
3540257314
4. Michael Grieve, “Product Lifecycle Management: Driving the next generation of lean thinking”, Tata
McGraw Hill, 2006, ISBN: 0070636265

Page 52

Course Code Course Name Credits
IE1012 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, Availability 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



Module
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 out 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 Accessibility, 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
analysis and Event tree Analysis
05


Assessment :

Page 53

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question p apers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.


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 54

Course Code Course Name Credits
IE1013 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



Module
Detailed Contents
Hrs

01 Introduction To Information Systems (IS): Computer Based Information Systems,
Impact of IT on organizations, Imporance of IS to Society.
Organizational Strategy, Competitive Advantages and IS.
4

02 Data and Knowledge Management: Database Approach, Big Data, Data warehouse and
Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision Making, BI for Data analysis
and Presenting Results
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 model. 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 consists of two tests out of which; one should be compulsory class test and the other is either a
class test or assignment on live problems or course project.

Page 55

End Semester Theory Examination:
Some guidelines for setting up the question p aper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of t otal six question
2. All question carry 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.


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 56

Course Code Course Name Credits
IE1014 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 appro priate action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experiments



Module
Detailed Contents
Hrs


01 Introduction
Strategy of Experimentation
Typical Applications of Experimental Design
Guidelines for Designing Experiments
Response Surface Methodology

06



02 Fitting Regression Models
Linear Regression Models
Estimation of the Parameters in Linear Regression Models
Hypothesis Testing in Multiple Regression
Confidence Intervals in Multiple Regression
Prediction of new response observation
Regression model diagnostics
Testing for lack of fit


08



03 Two -Level Factorial Designs
The 22 Design
The 23 Design
The General2k Design
A Single Replicate of the 2k Design
The Addition of Center Points to the 2k Design,
Blocking in the 2k Factorial Design
Split-Plot Designs


07



04 Two -Level Fractional Factorial Designs
The One -Half Fraction of the 2k Design
The One -Quarter Fraction of the 2k Design
The General 2k-p Fractional Factorial Design
Resolution III Designs
Resolution IV and V Designs
Fractional Factorial Split -Plot Designs


07

Page 57

05 Response Surface Methods and Designs
Introduction to Response Surface Methodology
The Method of Steepest Ascent
Analysis of a Second -Order Response Surface
Experimental Designs for Fitting Response Surfaces

07

06 Taguchi Approach
Crossed Array Designs and Signal -to-Noise Ratios
Analysis Methods
Robust design examples
04


Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question car ry 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.


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 and Analysis of Experiments, 5th edition, John Wiley & Sons, New Yor k,
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 58

University of Mumbai, B. E. (Information Technology), Rev 2016 220 Course Code Course Name Credits
IE1015 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 the 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 li near 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



Module
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 Problem : Formulation, solution,
unbalanced Transportation problem. Finding basic feasible solutions – Northwest corner
rule, least cost method and Vogel’s approximation method. Optimality test: the stepping
stone method and MODI method.
Assignment Problem : Introduction, Mathematical Formulation of the Problem,
Hungarian Method Algorithm, Processing of n Jobs Through Two Ma chines and m
Machines, Graphical Method of Two Jobs m Machines Problem Routing Problem,
Travelling Salesman Problem
Integer Programming Problem : Introduction, Types of Integer Programming Problems,
Gomory’s cutting plane Algorithm, Branch and Bound Techniq ue.
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 59

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 221 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 consists of two tests out of which; one should be compulsory class test and the other is either a
class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry 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 questi on 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 Research", 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 60

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 222 Course Code Course Name Credits
IE1016 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 vario us legal issues
3. Distinguish different aspects of cyber law
4. Apply Information Security Standards compliance during software design and development



Module
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, Bot nets, Attack vector, Cloud computing,
Proliferation of Mobile and Wireless Devices, Trends in Mobility, Credit Card Frauds in
Mobile and Wireless Computing Era, Security Challenges Posed by Mobile Devices,
Registry Settings for Mo bile 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 Measur es in Mobile
Computing Era, Laptops



9

03 Tools and Methods Used in Cyber line
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 61

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 223 Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of e nd semester examination.
In question paper weightage of each module will be proportional to number of respective lecture hours as
mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.


REFERENCES:

1. Nina Godbole, Sunit Belapure, 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 Prashant 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 62

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 224 Course Code Course Name Credits
IE1017 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 various 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
disas ter
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 structure
associated with an emergency.
4. Get to know the simple do’s and don’ts in such extreme events and act accordingly.


Module
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:
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 warming, sea level rise, ozone depletio n
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
disasters.


09



03 Disaster Management, Policy and Administration
Disaster management: meaning, concept, importance, objective
of disaster management policy, disaster risks in India, Paradigm shift in
disaster management.
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 programme.Scope and responsibilities of National Institute of Disaster
Management (NIDM) and National disaster management authority
(NDMA) in India.Methods and measures to avoid disasters, Management of

06

Page 63

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 225 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:
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 the occurrence of various disasters,
Ways to approach these teams.
International relief aid agencies and their role in extreme events.

09




06 Preventive and Mitigation Measures:
Pre-disaster, during disaster and post -disaster measures in some events in general
Structural mapping: Risk mapping, assessment and analysis, sea walls and embankments,
Bio shield, shelters, early warning and communication
Non Structural Mitigation: Community based disaster preparedness, risk transfer and
risk financing, capacity develo pment and training, awareness and education, contingency
plans.
Do’s and don’ts in case of disasters and effective implementation of relief
aids.



06

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester exami nation. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

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
Elseveir Publi cations.
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 Mitigatio n – R B Singh, Rawat
Publications
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 aut hentic web sites)

Page 64

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 226 Course Code Course Name Credits
IE1018 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 describe the energy performance evaluation of some com mon 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


Module
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, Optimizing the input energy
requirements, Fuel and energy substitution. Elements of monitoring& targeting; Energy
audit Instruments; Data and information -analy sis.
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.
Energy efficiency measures in lighting system, Lighting control: Occupancy sensors,
daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, induction motors,
motor retrofitting, soft starters, variable speed drives.


10

Page 65

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 227


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 leakages, Steam
trapping, Condensate and flash steam recovery system.
General fuel economy measures in Boilers and furnaces, Wast e heat recovery, use of
insulation - types and application. HVAC system: Coefficient of performance, Capacity,
factors affecting Refrigeration and Air Conditioning system performance and savings
opportunities.


10

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 consists of two tests out of which; one should be compulsory class test and the other is either a
class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In qu estion paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.


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 Managemen t 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 66

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 228 Course Code Course Name Credits
IE1019 Development Engineering 03

Objectives:

1. To familiarise the characteristics of rural Society and the Scope, Nature and Constraints of rural
Development
2. To provide an exposure toimplications of 73rdCAA on Planning, Development and Governance of Rural
Areas
3. An exploration of human values, which go into making a ‘good’ human being, a ‘good’ professional, a
‘good’ society and a ‘good life’ in the context of work life and the personal life of modern Indian
professionals
4. To familiarise the Nature and Type of Human Values relevant to Planning Institutions

Outcomes: Learner will be able to…

1. Demonstrateunderstanding of knowledge for Rural Development.
2. Prepare solutions for Management Issues.
3. Take up Initiatives and design Strategies to complete the task
4. Develop acumen for higher education and research.
5. Demonstrate the art of working in group of different nature
6. Develop confidence to take up rural project activities independently



Module Contents Hrs
1 Introduction to Rural Development Meaning, nature and scope of development; Nature of
rural society in India; Hierarchy of settlements; Social, economic and ecological
constraints for rural development
Roots of Rural Development in India Rural reconstruction and Sarvodaya programme
before independence; Impact of voluntary effort a nd Sarvodaya Movement on rural
development; Constitutional direction, directive principles; Panchayati Raj - beginning of
planning and community development; National extension services. 08
2 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. 06
3 Rural Development Initiatives in Five Year Plan s Five Year Plans and Rural Development;
Planning process at National, State, Regional and District levels; Planning, development,
implementing and monitoring organizations and agencies; Urban and rural interface -
integrated approach and local plans; Deve lopment 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 07

Page 67

Univ ersity of Mumbai, B. E. (Information Technology), Rev 2016 229 4 Post 73rd Amendment Scenario 73rd Constitution Amendment Act, including - XI
schedule, devolution of powers, functions and finance; Panchayati Raj institutions
- organizational linkages; Recent changes in rural local planning; Gram Sabha - revitalized
Panchayati Raj; Institu tionalization; resource mapping, resource mobilization including
social mobilization; Information Technology and rural planning; Need for further
amendments. 04
5 Values and Science and Technology Material development and its values; the
challenge of science and technology; Values in planning profession, research and education
Types of Values Psychological values — integrated personality; mental health; Societal
values — the modern search for a good society; justice, democracy, rule of law, values in
the Indian constitution; Aesthetic values — perception and enjoyment of beauty; Moral and
ethical values; nature of moral judgment; Spiritual values; different concepts; secular
spirituality; Relative and absolute values; Human values — humanism and human v alues;
human rights; human values as freedom, creativity, love and wisdom 10
6 Ethics Canons of ethics; ethics of virtue; ethics of duty; ethics of responsibility;
Work ethics; Professional ethics; Ethics in planning profession, research and education 04

Assessment :

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

End Semester Ex amination:
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
1. ITPI, Village Planning and Rural Development, ITPI, New Delhi
2. Thooyavan, K.R. Human Settlements: A 2005 MA Publication, Chennai
3. GoI, Constitution (73rdGoI, New Delhi Amendment) Act, GoI, New Delhi
4. Planning Commission, Five Year Plans, Planning Commission
5. Planning Commission, Manual of Integrated District Planning, 2006, Planning Commission 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 Association, Washin gton

Page 68

University of Mumbai, B. E. (Information Technology), Rev 2016 230 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 and
Practice, Vol. 4, No.4, pp.395 – 407

Page 69

University of Mumbai, B. E. (Information Technology), Rev 2016 230
Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEIS C201 Information
Security 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme

Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEIS C201 Information
Security 20 20 20 80 -- -- -- 100

Course Objectives:
1. Study the threats to Information Security and learn the architecture and frameworks of Information Security
2. Get acquainted with the pillars of security & explain the Access Controls Techniques
3. Acquire knowledge of the Information Systems Management terms and terminologies
4. Gain information regarding the aspects of Software Application security & Web Security
5. Be aware of the the different Malicious Software , explain their effects and role of the Anti -Virus Software
6. Learn about the vulnerabilities and threats to Network S ecurity and means to overcome them.
·
Course Outcomes:
Students will try to
1. Identify the threats to Information Security and describe the architecture and frameworks of Information
Security(BL level 1)
2. Define the Pillars of Security & explain the Access Controls Techniques(BL level 2)
3. Describe the Information Systems Management terms and terminologies (BL level 2)
4. Discuss the aspects of Software Application security & Web Security(BL level 2)
5. Classify the different Malicious Software , explain the ir effects and role of the Anti -Virus Software(BL level
2)
6. Identify the vulnerabilities and threats to Network Security and means to overcome them.(BL level 2)


Prerequisite: Computer Networks and Cryptography

DETAILED SYLLABUS:

Sr.
No. Module Detail ed Content Hours CO
Mapping
0 Pre-requisite Computer Networks and Cryptography 02

Page 70

University of Mumbai, B. E. (Information Technology), Rev 2016 230 I Information Security
Threats & Frameworks
Principles Security Threats to Information Security:
External and Internal Threats. Information
Security Frameworks and Information Security
Architecture: A layered approach to security.
Information Security Management Systems
Framework Provided by ISO/IEC 27001:2013,
NIST Special Publication 800 -39, SABSA
information security architecture.
Self Learning Topics: Study adva nced Security
frameworks and compare them 06 CO1
II Pillars of Security &
Access Controls People -Organization of Information Security.
Specific Roles and Responsibilities.Policies,
Procedures, and Processes,
Technology.Implementation of Information
Securi ty, Principles of Information
Security.Access control layers.Access Control
Strategies. Implementing Access Controls.AAA
Framework
Self Learning Topics: Study the Access Controls
for IBM/Oracle 07 CO2
III Information Systems
Management Risk Management -Risk Assessment Life
Cycle.Incident Response -Incident Response Life
Cycle.Incident Response Plan. Incident Response
Team. Incident Response execution
Self Learning Topics: Case study of real time
Incident Response plan
06 CO3
IV Application & Web
Security Aspects of Software Application Security.
Important Guidelines for Secure Design and
Development. Web Browsers, Web Servers, and
Web Applications: Important Reasons for Issues
on the Web, Vulnerabilities in Web Browsers,
Vulnerabilities of We b Servers, Important
Attacks on the Web Applications, How to
Overcome Web Application Vulnerabilities
Self Learning Topics: Study of any Opensource
tool for Web application Security 07 CO4
V Malicious Software and
Anti-Virus Software Malware Software -Spyware, Adware, Trojans,
Rootkits, Viruses, Worms, Backdoors, Botnets,
Anti-Virus Software
Self Learning Topics: Read current literature and
articles on Malicious Software and Anti -Virus
Software attacks real time case study 05 CO5
VI Network Security Network Vulnerabilities and Threats,
Reconnaissance, Denial -of-Service (DoS) and
Distributed Denial -of-Service (DDoS), Attacks
on Networks, Firewalls -Types, and Working,
Firewall Deployment Architecture.IDS and IPS:
IDS/IPS System Architecture and Framework
Self Learning Topics : Study case study for how
to develop secure networks 06 CO6

Page 71

University of Mumbai, B. E. (Information Technology), Rev 2016 230
Text Books:
1. The InfoSec Handbook -An Introduction to Information Security -Umesh Hodeghatta Rao and Umesha Nayak. Apress
Open
2. Computer Security Principles and Practice, William Stallings, Sixth Edition, Pearson Education
3. Network Security and Cryptography, Bernard Menezes, Cengage Learning
4. Network Security Bible, Eric Cole, Second Edition, Wiley
5. Rational Cybersecurity for Business -Dan Blum Apress Open,2020



Reference Books:
1.Implementing Information Security based on ISO 27001_ISO 27002
2.Managing Risk and Information Security, Malcolm W. Harkins,Apress 2016
3.Information Security Policy Development for Compliance: ISO/IEC 27001, NIST SP 800 -53, Barry L. Williams ,
CRC press

Online References:
S.No Website/Reference link
1. https://www.owasp.org/index.php/Category:OWASP_Top_Ten_Project

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of
these any four questions to be attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination

Page 72

University of Mumbai, B. E. (Information Technology), Rev 2016 230




























Theory Practical Tutorial Theory Practical
/Oral Tutorial Tota
l
MEIS C202 Blockchain
Technology 03 -- -- 03 -- -- 03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test
1 Test
2 Avg.
of 2
Tests
MEIS C202 Blockchain
Technology 20 20 20 80 -- -- -- 100
Course Objectives:
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 and explore Hyperledger Fabric.
5 To un derstand different types of crypto assets.
6 To apply Blockchain for different domains IOT, AI and Cyber Security.

Course Outcomes:

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 After the successful completion of this course, learner will be able to:
Sr.No Course Outcomes BT level
1 Describe the basic concept of Blockchain and Distributed Ledger Technology. L2
2 Interpret the knowledge of the Bitcoin network, nodes, keys, wallets and
transactions L3
3 Implement smart contracts in Ethereum using different development
frameworks. L3
4 Develop ap plications in permissioned Hyperledger Fabric network. L3
5 Interpret different Crypto assets and Crypto currencies L3
6 Analyze the use of Blockchain with AI, IoT and Cyber Security using case
studies. L4

Prerequisite: Cryptography and Distributed Systems

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Cryptography and
Distributed
Systems
(prerequisite) Hash functions, Public – Private
keys, SHA, ECC, Digital
signatures, Fundamental concepts
of Distributed systems 2 —-
I Introduction to
DLT and
Blockchain Distributed Ledger Technologies
(DLTs) Introduction, Types of
Blockchains
Blockchain: Origin, Phases,
Components
Block in a Blockchain : Structure
of a Block, Block Header Hash
and Block Height, The Genesis
Block, Linkin g Blocks in the
Blockchain, Merkle Tree.
Self-learning Topics: Blockchain
Demo 4 CO1
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, Incentive based
Engineering, The Extended
Bitcoin Network, Bitcoin Relay
Networks, Network Discovery,
Full Nodes, Exchanging
“Inventory”, Simplified P ayment
Verification (SPV) Nodes, SPV
Nodes and Privacy, Transaction
Pools, Blockchain Forks
Self-learning Topics: Study and 8 CO2

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 compare different consensus
algorithms like PoA, PoS, pBFT
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
programming using solidity,
Metama sk (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
Blockchai n platforms
Introduction : IOTA, Hashgraph,
EOS, etc.
Self-learning Topics: Smart
contract development using Java
or Python 10 CO3
IV Permissioned
Blockchain :
Hyperledger
Fabric Introduction to Framework, Tools
and Architecture of Hyperledger
Fabric Blockchain.
Components : Certificate
Authority, Nodes, Chain codes,
Channels, Consensus: Solo,
Kafka, RAFT
Designing Hyperledger
Blockchain
Other Permissioned Blockchain
platforms Introduction :
CORDA, Quoram, etc.
Self-learning Topics:
Fundam entals of Hyper ledger
Composer 7 CO4
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 4 CO5

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 VI Blockchain
Applications &
Research Areas Blockchain in IoT, AI , Cyber
Security ,
Research Areas : Interoperability,
Privacy, Performance, Oracles,
Security of smart contracts and
platforms
Self-learning Topic s:
Applications of Blockchain in
various domains Education,
Energy, Healthcare, real -estate,
logistics, supply chain 4 CO6

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 , 2018 .
3. Blockchain Technology, Chandramouli Subramanian, Asha A George, Abhillash K. A and Meena
Karthikeyen, U niversities press , Year: 2020 .
4. Hyperledger Fabric In -Depth: Learn, Build and Deploy Blockchain Applications Using Hyperledger
Fabric, Ashwani Kumar, BPB publications , Year: 2020.
5. Solidity Programming Essentials: A beginner's Guide to Build Smart Contracts for Ethereum and
Blockchain, Ritesh Modi, Packt publication , Year: 2018
6. Cryptoassets: The Innovative Investor’s Guide to Bitcoin and Beyond, Chris Burniske& Jack Tatar.

Reference:
1. Mastering 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 Bitcoins and Blockchains: An Introduction to Cryptocurrencies and the Tec hnology 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



Online References:
1. NPTEL courses:
a. Blockchain and its Appli cations,
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/

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University of Mumbai, B. E. (Information Technology), Rev 2016 230
Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination
















Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE203 1 Application
and Web
Security 03 -- -- 03 -- -- 03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test
1 Test
2 Avg. of 2
Tests

Page 77

University of Mumbai, B. E. (Information Technology), Rev 2016 230 MEISCPE203 1 Applicati
on and
Web
Security 20 20 20 80 -- -- -- 100

Course Objectives: Students will try

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

Course Outcomes: Students will be able to

1. To understa nd the security principles in developing a reliable web application –(BT- L1,L2)
2. Identify the various types of security issues in web browser. -(BT L1,L2)
3. Identify the various types of threats in developing a web application. –(BT-L1,L2)
4. Identify the various types of mitigation measures of web applications. -(BT- L1,L2)
5. Apply the security principles in developing a reliable web application. -(BT-L1,L2,L3)
6. Use industry standard tools for web application security. -(BT-L1,L2)

Prerequisite: Introduction to Information & Network Security.


DETAILED SYLLABUS: total six module for each subject and total 36 hours to be distributed among six
modules.
Sr.
No. Module Detailed Content Hours CO
Mapping
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 CO1
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 CO2
III Web Application
Vulnerabilities Understanding vulnerabilities in traditional
client server application and web
applications, 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 -8 CO3

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 site request forgery
Self-learning Topics: SSH Tunneling
Cleaning traces ,Cleaning the event log
Advanced phishing attacks
IV Web Application
Mitigations HTTP request, HTTP response, rendering
and events , html image tags, image tag
security, issue, java script on error ,
Javascript timing , port scanning , remote
scripting , running remotecode, frame and
iframe , browser sandbox, policy goals, same
origin polic y, library import, domain
relaxation
Self-learning Topics: Nikto, OWASP ZAP. 7 CO4
V
Secure Website
Design Secure website design: Architecture and
Design Issues for Web Applications,
Deployment Considerations Input Validation,
Authentication, Authorizati on, Configuration
Management ,Sen - sitive 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 8 CO5
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_S ource_Applicat
ion_Security_Tools 6 CO6

Text Books:
1. Sullivan, Bryan, and Vincent Liu. Web Application Security, A Beginner’s Guide. McGraw Hill Profe ssional,
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 Applicatio n Security”
Springer; 1st Edition.

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination

Page 79

University of Mumbai, B. E. (Information Technology), Rev 2016 230













Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE203 2 Machine
Learning for
Security 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2 Tests
MEISCPE2
032 Machine
Learning for
Security 20 20 20 80 -- -- -- 100

Prerequisite: DBMS, Python Programming, Data Structure and analysis

Course
Objectives: 1. To understand the basic concepts of Machine Learning in Security .
2. To understand and apply the Machine Learning algorithms in security domain.
3. To apply classification algorithms for Anomaly Detection.
4. To analyze real time security problems usi ng Machine learning algorithms.
5. To explore the domain of secure consumer web.
6. To understand the Adversarial machine Learning Environment.

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 Course
Outcomes:
Upon completion of the course, the learners will be able to:

Course Outcomes BT
Level
1. Explain the fundamentals of Machine Learning in Security . L2
2. Apply Machine Learning algorithms in real world problems of security. L3
3. Apply Machine algorithms for Anomaly Detection. L3
4. Analyze Malware and Network Traffic using Machine learning algorithms. L4
5. Examine and secure the consumer web. L4
6. Understand the vulnerabilities of machine learning algorithms in Adversarial
environments L2





DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Prerequisite Concepts and Course Introduction 02
I Introduction
Machine Learning
and Security
Cyber Threat Landscape, Economy, Hacking Skills and
Indirect Monetization; What Is and not Machine Learning,
Machine Learning System Maturity and Scalability;
What’s Important for Security Machine Learning
Systems? Data Quality: Bias in Datasets, Label
Inaccuracy, Missing Data; Model Quality:
Hyperparameter Optimization, Feedback Loops, A/B
Testing of M odels, Repeatable and Explainable Results;
Adversaries Using Machine Learning; Real -World Uses of
Machine Learning in Security;Spam Fighting: An Iterative
Approach.

Self-Learning: Limitations of Machine Learning in
Security 07 CO1
II Classification and
Clustering Machine Learning: Problems and Approaches, Training
Algorithms to Learn, Supervised Classification
Algorithms, Practical Considerations in Classification,
Evaluating Classification Results, Clustering Algorithms,
Evaluating C lustering Results

Self-Learning: Implementation of Classification and
Clustering algorithms 07 CO2
III Anomaly
Detection
Anomaly Detection Versus Supervised Learning, Intrusion
Detection with Heuristics, Data -Driven Methods, Feature
Engineering for Anomaly Detection, Anomaly Detection 06 CO3

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 with Data and Algorithms, Challenges of Using Machine
Learning in Anomaly Detection, Response and Mitigation.

Self-Learning: Practical System Design Concerns
IV Malware Analysis
and Network
Traffic Analysis

Malware Analysis: Understanding Malware, Feature
Generation, Classification using features. Network Traffic
Analysis: Theory of Network Defense, Machine Learning and
Network Security, Building a Predictive Model to Classify
Network Attacks.
Self-Learning: Case studies for Malware Analysis and
Network Traffic Analysis 07 CO4
V Securing the
Consumer Web Consumer Web Monetizing, Types of Abuse and
handling; Account handling, Financial Fraud, Supervised
Learning for Abuse Problems; Data Labeling, Cold Start
Versus Warm Start, False Positives and False Negatives,
Multiple Responses, Large Attacks, Clustering Abuse,
Clustering Spam Domains, Generating and Scoring
Clusters.
Self-Learning: Future Directions in Clustering and
securing the consumer web. 06 CO5
VI Adversarial
Machine Learning The Importance of Adversarial ML, Security
Vulnerabilities in Machine Learning Algorithms, Attack
Technique: Model Poisoning and Evasion Attack
Self-Learning: Proper calibration of machine learning to
match the behavior as per expectations 04 CO6
Books & Useful Links:
Text Books:
1. Clarence Chio, David Freeman, “Machine Learni ng and Security” O'Reilly
Media, 2018.
2. C. Bishop, Pattern Recognition and Machine Learning, Springer – 2006.
Reference Books :
1. R. Duda, P. Hart and D. Stork, Pattern Classification, Wiley.
2. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Academic Press.
3. E. Alpaydin, Introduction to Machine Learning, PHI.
4. G. James, D. Witten, T. Hastie, and R. Tibshirani, Introduction to Statistical
Learning, Springer
5. T. Mitchell, Machine Learning, McGraw Hill.
Useful Links: 1. https://onlinecourses.nptel.ac.in/noc22_cs29/preview
2. https://nptel.ac.in/courses/106105152
3. https://onlinecourses.swayam2.ac.in/nou19_cs08/preview
4. https://onlinecourses.nptel.ac.in/noc21_cs16/preview
5. https://www.classcentral.com/course/independent -machine -learning -security -
12651

Assessment:
Internal Assessment Test:

Assessment consists of two tests out of which; one should be compulsory class test (on

Page 82

University of Mumbai, B. E. (Information Technology), Rev 2016 230 minimum 02 Modules) and the other is either a class test or assignment on live problems or
course project.

End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination

Theory Practical Tutorial Theory Practical/
Oral Tuto
rial Total
credits
MEISCPE203 3 Investigating
Crypto
Currency 03 -- -- 80 -- --

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISCPE2
033 Investigating
Crypto
Currency 20 20 20 80 -- -- -- 100
Course Objectives: Students will try to
1) To get acquainted with the concept of Block and Blockchain
2) To learn the concepts of consensus and mining in Blockchain
3) To get familiar with the bitcoin currency and its history
4) To understand and apply the concepts of keys, wallets and transactions in the Bitcoin Network
5) To acquire the knowledge of Bitcoin network, nodes and their roles
6) To analyze the applications& case studies of Blockchain
Course Outcomes: Students will be ab le to

1) Describe the basic concept of Blockchain ( BT Level 2)
2) Associate knowledge of consensus and mining in Blockchain ( BT Level 2)
3) Summarise the bitcoincryptocurrency at an abstract level( BT Level2)
4) Apply the concepts of keys, wallets and transactions in the Bitcoin network ( BT Level3)
5) Interpret the knowledge of Bitcoin network, nodes and their roles ( BT Level2)
6) Illustrate the applications of Blockchain and analyze case studies ( BT Level 3)

Prerequisite: 1. Data structures
2. Cryptography
DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Introduction to
Cryptography
(prerequisite) Hash functions, Public key
cryptography, Digital Signature
(ECDSA)
Comment (Prerequisite syllabus
should not be considered for paper
setting) 2

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 I Introduction to
Blockchain Structure of a Block, Block Header ,
Block Identifiers: Block Header
Hash and Block Height , The
Genesis Block, Linking Blocks in
the Blockchain, Merkle Trees and
Simplified Payment Verification
(SPV).
Self-learning Topics: Blockchain
Demo
4 1
II Conse nsus and
Mining Decentralized Consensus, Byzantine
General’s Problem, Independent
Verification of Transactions, Mining
Nodes, Aggregating Transactions
into Blocks, Constructing the Block
header, Mining the Block,
Successfully Mining the Block,
Validating a New Block,
Assembling and Selecting Chains of
Blocks, Blockchain Forks
Self-learning Topics: Study
different consensus algorithms 8 2
III Introduction to
Bitcoin What isBitcoin and the history of
Bitcoin, Getting the first bitcoin,
finding the current price of bitcoin
and sending and receiving bitcoin,
Bitcoin Transactions.
Self-learning Topics: Study the
website coinmarketcap.com/
3 3
IV Concepts of
Bitcoin Keys and addresses, Wallets and
Transactions: Public Key
Cryptography and Cryptocurrency,
Private and Public Keys, Bitcoin
Addresses, Base58 and
Base58Check Encoding,
Nondeterministic (Random) Wallets,
Deterministic (Seeded) Wallets, HD
Wallets (BIP -32/BIP -44), Wallet
Best Practices, Using a Bitcoin
Wallets, Transaction Outputs and
Inputs, Tran saction Fees,
Transaction Scripts and Script
Language, Turing Incompleteness,
Stateless Verification, Script
Construction (Lock + Unlock), Pay -
to-Public -Key-Hash (P2PKH),
Bitcoin Addresses, Balances, and
Other Abstractions
Self-learning Topics: Visit and
use https://bitcoin.org/en/ 8 4

V Bitcoin Networks Peer-to-Peer Network Architecture,
Node Types and Roles, Incentive
based Engineering The Extended
Bitcoin Network, Bitcoin Relay
Networks, Network Discovery, Full
Nodes, Exchanging “Inventory”, 7 5

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 Simplified Payment Verification
(SPV) Nodes, Bloom Filters, SP V
Nodes and Privacy, Encrypted and
Authenticated Connections,
Transaction Pools
Self-learning Topics: Study
techni cal papers based on bitcoin
security
VI Blockchain
Applications &
case studies Domain -Specific Applications:
FinTech, Internet of Things,
Industrial and Manufacturing,
Energy, Supply chain & Logistics,
Records & Identities, Healthcare
Case studies related to crypto
currencies
Concept of Altcoin
Self-learning Topics: Read
Technical papers on Blockchain
applications 7 6

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. “Blockchain Applications: A Hands -On Approach”, by ArshdeepBahga, Vijay Madiset ti, Paperback – 31 January
2017.
3. “Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction”, July 19, 2016, by Arvind Narayanan,
Joseph Bonneau, EdwardFelten, Andrew Miller, Steven Goldfeder, Princeton University Press.
Reference Books:
1. “Mastering Blockchain”, by Imran Bashir, Third Edition,Packt Publishing
2. “Mastering Ethereum: Building Smart Contracts and Dapps Paperback” byAndreas Antonopoulos , Gavin Wood ,
Publisher(s): O'Reilly Media
3. “BLOCKCHAIN REVOLUTION: HOW THE TECHNOLOGY BEHIND BITCOIN IS CHANGING MONEY,
BUSINESS AND THE WORLD $ Don Tapscott and Alex Tapscot, PORTFOLIO PENGUIN, 856157449
Online References:
1. https://andersbrownworth.com/blockchain/
2. https://andersbrownworth.com/blockchain/public -private -keys/
3. https://www.coursera.org/learn/cryptocurrency
4. https://coinmarketcap.com/


Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks,
out of these any four questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination

Page 85

University of Mumbai, B. E. (Information Technology), Rev 2016 230

Course Code Course Name Theory Practical Tutorial Theory Practical/Oral Tutorial Total
MEISCPE203 4 Design
Thinking 03 -- -- 03 -- -- 03



Course Code

Course
Name Examination Scheme
Theory Marks
Term
Work

Practical

Oral

Total Internal assessment
End Sem.
Exam Test1 Test
2 Avg. of 2
Tests
MEISCPE203 4 Design
Thinking 20 20 20 80 -- -- -- 100


Course Objectives:
Sr. No. Course Objectives
The course aims:
1
To stress the importance of good design.
2 To recognize the latest and future issues and challenges in innovation.
3 To expose the student with state of the art perspectives, ideas, concepts, and solutions related to
the design and innovation using design thinking principles.
4 To develop an advanced innovation and growth mindset form of problem identification and
reframing, and insight generation.
5 To provide a social and thinking space for the recognition of innovation challenges and the
design of creative solutions.
6 To propose a concrete, feasible, viable and relevant innovation project/challenge with
Implementation

Course Outcomes:
Sr. No. Course Outcomes Cognitive levels
of attainment as
per Bloom’s
Taxonomy
On successful completion, of course, learner/student will be able to:
1 Understand good features of designs. L2
2 Understand importance of innovation in day to day life L2
3 Illustrate and analyze user needs and formulate design and innovation using
design thinking principles. L4
4 Interpret and evaluate the data collected during the process of problem L5

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 identification and reframing, and insight generation.
5 Evaluate designs based on theoretical frameworks and methodological
approaches. L5
6 Design innovative applications that are usable, effective and efficient for
intended users L6


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Software Engineering concepts and
any programming Language 2
I Introductio
n to design Good and Poor Design, What is Interaction
Design, The User Experience, The Process Of
Interaction Design, Interaction Design and the
User Experience, Necessity of UI/UX,
Self-learning Topics: Study of Various
interactive day to day application 5 CO1
II Design
Thinking
Backgroun
d
Definition of design thinking, business uses of
design thinking, variety of approaches within
the design thinking discipline, design thinking
mindset

Self-learning Topics: Design thinking in
business application 5 CO2
III Design Fundamental Concepts: 8 CO3
Thinking Empathy, ethnography, divergent
thinking
Approach convergent thinking,visual thinking,
assumption
testing, prototyping, and validation within
design
Thinking,
Design Thinking Resources
Human resource, preferred space
prepared,
materials commonly used, dynamic
between
design thinking teams and the organization
3.3 Design Thinking Processes
Design thinking approaches, Double

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 Diamond
approach, d.School 5-Stage approach,
Growth
approach, role of project management
within
design thinking
Self-learning Topics: Study of Various
resources
for design thinking


IV Design
Thinking
in Practice 4.1 Process Stages of Designing for Growth
4.2 Design Thinking Tools and Methods
need to use tools and methods, visualization ,
journey mapping , value chain analysis , mind
mapping , brainstorming, concept development
assumption testing, rapid prototyping customer
co-creation, learning launch.
Self-learning Topics: Study of concept
development
with any application 7 CO4 / CO5
V UX
Evaluation,
The
Interaction
Cycle and the
User
Action UX Goals, Metrics and Targets, UX Evaluation
Techniques. -Formative vs summative ,Analysis,
The interaction cycle, The user action
framework adding a structured knowledge base
to the interaction cycle, Interaction cycle and
user action framework content categories, Role 7 CO5
Framework of affordances within the UAF, Practical value
of the UAF.
Self-learning Topics: Study of UI and UX
goals
with any application
VI Design
Thinking
Applicatio
n This section explores practical case study related
to product development in a design thinking
effort.Any domain is preferable.

Self-learning Topics: Study of any domain
application 5 CO5/
CO6


Text Books:
1. “Designing for growth: A design thinking tool kit for managers”, by Jeanne Liedtka and Tim
Ogilvie., 2011, ISBN 978-0-231-15838 -1
2. “The design thinking playbook: Mindful digital transformation of teams, products, services,
businesses and ecosystems”, by Michael Lewrick, Patrick Link, Larry Leifer., 2018, ISBN 978-1-

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University of Mumbai, B. E. (Information Technology), Rev 2016 230 119-46747 -2
3. “Presumptive design: Design provocations for innovation”, by Leo Frishberg and Charles
Lambdin., 2016, ISBN: 978-0-12-803086 -8
4. “Systems thinking: Managing chaos and complexity: A platform for designing business
architecture.”, “Chapter Seven: Design Thinking”, by Jamshid Gharajedaghi, 2011, ISBN 978-0-
12-385915 -0
5. Interaction Design, by J. Preece, Y. Rogers and H. Sharp. ISBN 0-471-49278 -7.
6. Human Computer Interaction, by Alan Dix, Janet Finlay, Gregory D Abowd, Russell Beale


References:
1. Karmic Design Thinking by Prof. Bala Ramadurai, available at Amazon (paperback), Amazon (e-
book),
Flipkart, Pothi, halfpricebooks.in.
2. Design: Creation of Artifacts in Society by Prof. Karl Ulrich, U. Penn
3. Change by Design by Tim Brown.

4. The UX Book, by Rex Hartson and Pardha S Pyla
5. Donald A. Norman, “The design of everyday things”, Basic books.
6. Jeff Johnson, “Designing with the mind in mind”, Morgan Kaufmann Publication.


Online References: https://nptel.ac.in/courses/110106124
https://onlinecourses.nptel.ac.in/noc22_mg32/preview
https://onlinecourses.nptel.ac.in/noc21_ar05/preview
https://npte l.ac.in/courses/124/107/124107008/
https://nptel.ac.in/noc/courses/noc19/SEM1/noc19 -ar10/
https://nptel.ac.in/course s/107/103/107103083/
https://www.youtube.com/watch?v=6C2Ye1makdY&list=PLW -zSkCnZ -gD5TDfs1eL5EnH2mQ0f9g6B
https://xd.adobe.com/ideas/process/

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20
marks, out of these any four questions to be attempted by students. Minimum 80% syllabus
should be covered in question papers of end semester examination.

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University of Mumbai, B. E. (Information Technology), Rev 2016 230

Page 90

University of Mumbai, B. E. (Information Technology), Rev 2016 271 Theory Practical Tutorial Theory Practical
/Oral Tutorial Total
MEISCPE204 1 Devops and
Devsecops 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test
1 Test 2 Avg. of 2
Tests
MEISCPE204
1 Devops
and
Devsecops 20 20 20 80 -- -- -- 100


Course Objectives:

The course will help the students to

1. Understand and analyze the concepts of DevOps and DevSecOps.
2. Define and understand the Continuous integration process in DevOps.
3. Understand the different Configuration management tools in DevOps and DevSecOps
4. Describe the various deployments using Infrastructure as a Code.
5. Understand and analyze the Static Application Security Testing & Log Management process in DevSecOps .
6. Describe the aspects of containerization and micro service applications in in DevOps and DevSecOps process.
Course Outcomes: Six Course outcomes
Learner should be able to:

1. Explain the basics concepts of DevOps and DevSecOps. (BT Level 1)
2. Describe and apply Continuous integration in DevOps. (BT Level 1 & 3)
3. Understand and Analyze different Configuration management tools in DevOps and DevSecOps. (BT Level 2 &
4)
4. Understand and apply the infrastructure deployments using Infrastructure as a Code. (BT Level 2 & 3)
5. Understanding the Static Application Security Testing & Log Mana gement process in DevSecOps. (BT level
2)
6. Recognize and examine the containerization and micro service applications in in DevOps and DevSecOps. (BT
Level 1 & 2)
DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Concepts of Software Engineering, Software
Project Management, Computer Network,
Security and Operating System. 02
I Introduction to The waterfall model, Agile Model, Overview 06 CO 1

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University of Mumbai, B. E. (Information Technology), Rev 2016 272 DevOps
of DevOps, Challenges for the dev elopment
and operations teams, in a DevOps
environment , Agile vs DevOps, Lifecycle of
DevOps projects, Stages in DevOps,
Applications of DevOps environment,
Continuous integration, Cloud provisioning,
Configuration management, Continuous
delivery, Continuous testing and
deployment, Continuous monitoring, Tools
and technologies .
Self-learning Topics:
Study the recent trends in DevSecOps and
related technologies

(BT Level
1)
II Continuous
Integration
Overview of Continuous integration, Tools
and stack for Continuous integration,
Introduction to Jenkins, Architecture of
Jenkins, Jenkins Pipeline, Integrating Jenkins
and SonarQube , E-mail notifications in
Jenkins, Continuous integration using Visual
Studio Team Services, Continuous
integration in VSTS.
Self-learning Topics:
Comparison between different continuous
integration tools. 06 CO 2


(BT Level
1 & 3 )
III Configuration
Management
Introduction to Configuration Management,
different tools used for Configuration
management, an overview of the Chef
configuration management tool, Using
Ansible for Configuring IaaS Infrastructure,
Infrastructure as Code (IaC), Technical
requirements Ansible artifacts , creating an
inventory for targeting Ansible Hosts,
configuring hosts in the inventory, writing a
basic playbook, Understanding Ansible
modules, Protecting data with Ansible Vault .
Self-learning Topics: 04 CO 3






(BT Level
2 & 4)

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University of Mumbai, B. E. (Information Technology), Rev 2016 273 Study of different Configuration
management tools.
IV Infrastructure as a
Code
Introduction to Infrastructure automation,
Infrastructure as a code, Overview of
Terraform, Installation by script,
Configuring Terraform for Azure , Creating
the Azure SP, Configuring the Terraform
provider, Terraform configuration fo r local
development and testing, w riting a
Terraform script to deploy Azure
infrastructure, Terraform good practices,
Better visibility with the separation of files,
Protection of sensitive data, Dynamizing the
code with variables and inter polation
functions, Deploying the infrastructure with
Terraform .
Self-learning Topics: Study of deploying
infrastructure as a code on different cloud
platforms. 09 CO 4




(BT Level
2 & 3 )
V Static Application
Security Testing &
Log Management
An introduction to SonarQube, Issues and
coding standards, Ensuring that your code is
doing things right, Working with duplica te
code, Optimizing source code
documentation, Keeping your source code
files elegant, Improving your application
design, Introduction to Log Management,
Centralizing logs with Syslog, Using syslog
templates, Managing log rotation with the
Logrotate utilit y, Installing ElasticSearch,
Logstash, and Kibana, Importing logs into
Elasticsearch with Logstash, Using Kibana
queries to explore data, Using Ki bana
queries to examine data.
Self-learning Topics: Study of SAST and 05 CO 5



(BT Level
2)

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University of Mumbai, B. E. (Information Technology), Rev 2016 274 Log management Tools.
VI Introduction to
Containers &
Microservices
Introduction to Docker, comparing Docker
containers with virtual machines, a simple
analogy d ocker terminology, Docker
containers, images, and registries, Container
design principles, Contain erizing monolithic
applications, d eploying a monolithic
application as a container, Service -oriented
architecture, Microservices architecture,
Data sovereignty per microservice, The
relationship between microservices and the
bounded c ontext pattern, Logical archit ecture
versus physical architecture, c hallenges and
solutions for distributed data management.
Self-learning Topics: Comparative a nalysis
between different Micro service architectures
frameworks. 07 CO 6



(BT Level
1 & 2)

Text Books:
1. G. ann Campbell, Patroklos p. papapetrou, “SonarQube in Action”, Manning Publication.
2. Cesar de la Torre, Bill Wagner, ‘.NET Microservices – Architecture for Containerized .NET Applications’,
Microsoft Press
3. Paul Swartout, “Continuous Delivery and DevOps: A Quickstart Guide”, Pakt Publication
4. Michael Duffy, “DevOps Automation Cookbook”,Pakt Publication
5. Mitesh Soni, ”DevOps Bootcamp”, Pakt Publication
Reference Books :
1. Mitesh Soni, “DevOps for Web Development”, Pakt Publication
2. Wouter de Kort, “DevOps on the Microsoft Sta ck”, Pakt Publication
3. Mikael Krief, “Learning DevOps”, Pakt Publication.
Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these any
four questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end
semester examination

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University of Mumbai, B. E. (Information Technology), Rev 2016 275













Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE204
2 IT security
Strategic
planning,
policy and
Leadership 03 -- -- 03 -- -- 03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam
Test
1 Test
2 Avg. of
2 Tests
MEISCPE204 2 IT security
Strategic
planning,
policy and
Leadership 20 20 20 80 -- -- -- 100
Course Objectives: Students will able:
1. To understand and define the Strategic Planning Process.
2. To understand and define the Information Security Process and manage it.
3. To understand the legal issues.
4. Define the security policies.
5. Do the assessment of the security as per policy.
6. Study and define the Leadership and management system.
Course Outcomes: Students will be able:
1. Understand and define the Strategic Planning Process. (BT-L2)

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University of Mumbai, B. E. (Information Technology), Rev 2016 276 2. Understand and define the Information Security Process and manage it. (BT-L2)
3. Understand the legal issues. (BT-L2)
4. Understand the security policies. (BT-L2)
5. Do evaluation and assessment of the security as per policy. (BT-L2)
6. Understand the Security leadership and management system. (BT-L2)

Prerequisite: Network and Se curity.


DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Basic concepts of Network and
security. 02
I Strategic Planning
Process:
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.
Value of strategic planning,
implementation of strategic planning,
overall planning process and strategic
matrix model, horizon analysis,
visioning, env ironmental scans
(SWOT, PEST, Porter's 5 forces),
historical analysis, mission, vision, and
value statements, planning process
core, candidate initiatives, the
prioritization process, resource and IT
change management in planning, how
to build the ro admap, setting up
assessments.
Self-learning Topics:
Institutional assessment, revising the
plan. 06 CO1
II Information Security
Management:
Risks and attacks in an information
system environment, Requirements on
confidentiality, integrity, availability,
authentication, non -repudiation,
Information Security Technologies,
Types of Information Security policies
and their hierarchy, relationship to
business process, Security
organizations, Risk assessment,
different approaches, Information
Security Management Standards, Audit
policy, Protecting Computer -Held
Information Systems.
Self-learning Topics: Case study on
Institution Information Security and
audit policies. 06 CO2
III Legal Issues:
Computer crimes, Disk Protection,
Intellectual property, E -commerce
law, Data Protection issues, 04 CO3

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University of Mumbai, B. E. (Information Technology), Rev 2016 277 Information Security Audits.
Self-learning Topics: Case study on
E-Commerce website data protection
and audit.
IV Security Policy
Development:
positive and negative tone, consistency
of policy bullets, the role of policy,
awareness and training, the SMART
approach to policy development and
assessment, ISMS as governing policy,
Policy versus procedure,
Organizational Assumptions, Beliefs
and Values (ABVs), Relationship of
mission statement to policy,
Organizational c ulture
Self-learning Topics:
Case study on institution security
policy and assessment. 06 CO4
V Security Policy
Assessment: Using the principles of psychology to
implement policy, How policy
protects people, organizations and
information, the process to handle a
new risk, Policy h eader components
and how to use them, Issue -specific
policies, Behavior related polices,
acceptable use, ethics, Warning
banners, Policy development process,
Policy review
Self-learning Topics:
Case study for policy assessment i e
define policy, process, issues and
review to improve. 08 CO5
VI Management and
Leadership Skills:
Leadership building blocks, Coaching
& training, Change management,
Team development, Motivating,
Developing the vision, Leadership
development, Building competencies,
Importance o f communication,
Selfdirection, Brainstorming,
Relationsh ip building, Teamwork
concepts, Leader qualities, Leadership
benefits, Leadership Introspection,
Assessment of Organization Culture
Should Shape Security Strategies,
process , Identify Risks and measure
security.
Self-learning Topics:
Case Study on Security Leadership and
management system for organization. 07 CO6
Text & Refernces Books:
1. http://www.sans.org
2. Robert M. Grant, “Contemporary Strategy Analysis: Concepts, Techniques,
3. Applications”, 5th Edition
4. Mickie Krause Nozaki, “Information Security Management Handbook”, 4th Edition
5. Michael E. Whitman, “Management Of Information Security”,
6. http://www.sans.org/reading_room/whitepapers/policyissues/security -policy -roadmap process -

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University of Mumbai, B. E. (Information Technology), Rev 2016 278 7. creating -security -policies_494
8. Information Security Policies Made Easy, 10th Edition
9. http://net.educause.edu/ir/library/pdf/pub7008i.pdf
10. Marlene Caroselli, “Leadership Skills for Managers”
11. http://managementhelp.org/freebusinesstraining/leadership.htm
12. CISO Leadership Essential Principals for Success. ISC Press.
Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these any
four questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end
semester examination



Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE20
43 Hacker
Technique,
Exploits and
Incident
Handling 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISCPE
2043 Hacker
Technique,
Exploits and
Incident
Handling 20 20 20 80 -- -- -- 100
Course Objectives: Students will try
1. To understand incident response techniques.
2. To identify various types of penetration testing tools.
3. To identify types of password attack techniques.
4. To understand how to protect critical assets.
5. To understand endpoint detection tools.
6. To understand the capture the flag event.

Course Outcomes: Students will be able to

1. To understand how to apply a dynamic approach to incident response. -(BT-L2)
2. Identify the threats using various types of pe netration testing tools. (BT-L3)
3. To understand various types of password and access attack techniques. (BT-L2)
4. Apply defense strategies to protect critical assets. (BT-L3)

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University of Mumbai, B. E. (Information Technology), Rev 2016 279 5. To understand attackers techniques to evade endpoint detection tools. (BT-L2)
6. To under stand which crafty techniques attackers use and protect system form them. (BT-L2)
Prerequisite: Introduction to Information & Network Security.


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Introduction to Information & Network
Security 2
I Incident
Response and
Cyber
Investigations Incident Response; Digital Investigations;
Live Examination; Network Investigations;
Memory Investigations; Malware
Investigations; Cloud Investigations.
Self-learning Topics:
Bootcamp: Linux Olympics 4 CO1
II
Scanning, and
Enumeration
Attacks Open -Source Intelligence; DNS
Interrogation; Website Reconnaissance;
Network and Host Scanning;
Cloud Spotlight: Cloud Scanning;
Enumerating Shadow Cloud Targets.
Self-learning Topics: Nmap, SMB,
DeepBlueCLI. 6 CO2
III Password and
Access Attacks
Password Attacks; Understanding Password
Hashes; Password Cracking; Defense
Spotlight: Domain Password Audit Tool
(DPAT); Cloud Spotlight: Insecure
Storage.
Self-learning Topics: Netcat, OWASP ZAP 6 CO3
IV Public -Facing
and Drive -By
Attacks
Metasploit Framework; Drive -By Attacks;
Defense Spotlight: System Resource Usage
Monitor; Command Injection; Cross -Site
Scripting (XSS); SQL Injection; Cloud
Spotlight: SSRF and IMDS Attacks.
Self-learning Topics: nessus, SQL Map 8 CO4
V
Evasion and
Post-Exploitation
Attacks
Endpoint Security Bypass; Pivoting and
Lateral Movement; Hijacking Attacks;
Covering Tracks; Establishing
Persistence; Defense Spotlight: Real
Intelligence Threat Analytics; Data
Collection.
Self-learning Topics: Metasploit,
Hping3. 7 CO5
VI Capture -the-Flag
Event
Target Discovery and Enumeration;
Applying Opensource Intelligence and
Reconnaissance Information Gathering;
Public -Facing Asset Compromise; Email
Compromise; Attacking Windows Active
Directory; Password Spray, Guessing, and
Credential Stuffing Attacks; Post
Exploitation Pivoting and Lateral Movement;
Choosing, Configuring, and Delivering
Exploits; Internal Attacker Compromise 7 CO6

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University of Mumbai, B. E. (Information Technology), Rev 2016 280 Attribution
Self-learning Topics:
https://buildyourfuture.withgoogle.com/event
s/ctf/


Text Books:
1. Hacker Techniques, Tools, and Incident Handling, 3rd Edition, by Sean -Philip Oriyano .
2. Ethical Hacking - Capture the Flag Walkthroughs - v2
References:
1. Hacker Techniques, Exploits & Incident Handling (Security 504)
http://www.sans.org/training/description.php?mid=40
2. https://booksite.elsevier.com/samplechapters/9781597496278/Chapter_3.pdf
3. Carlos Serrao, Vicente Aguilera, Fabio Cerullo, “Web Application Se curity”
Springer; 1st Edition.
4. Metasploit Penetration Testing Cookbook - Third Edition by by Daniel Teixeira , Abhinav Singh , Monika Agarwal

Assessment:
Internal Assessment Test:

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 Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these any
four questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end
semester examination










Theory Practical Tutorial Theory Practical/
Oral Tutorial Total
MEISCPE204 4 Advanced
Computer
Forensic
Analysis 03 -- -- 03 -- -- 03

Page 100

University of Mumbai, B. E. (Information Technology), Rev 2016 281 Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment End
Sem.
Exam Test
1 Test
2 Avg. of 2
Tests
MEISCPE204 4 Advanced
Computer
Forensic
Analysis 20 20 20 80 -- -- -- 100

Course Objectives: Students will try
1. To understand computer forensic technology.
2. To identify types of computer forensic systems.
3. To explore the procedures for identification, preservation, and extraction of digital evidence.
4. To explore the electronic evidence, identification of forensic data.
5. To identify the information warfare and tactics of terrorists in cyber attcks.
6. To explore advanced computer forensics systems.

Course Outcomes: Students will be able to
1. Understand the compu ter forensic technology. -(BT-L2)
2. To discuss the types of computer forensics systems. -(BT-L3)
3. Understand the process of collection, analysis and recovery of the digital evidence (BT-L2)
4. Understand the process of computer analysis .(BT-L2)
5. To explore cyber ter rorism techniques. (BT-L3)
6. To discuss advance computer forensics system and advanced encryption (BT-L3)

Prerequisite: Introduction to Information & Network Security.


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours CO
Mapping
0 Prerequisite Introduction to Information & Network
Security 2
I Overview of
computer
Forensics
Technology
Introduction to computer
forensics, use of forensics in law
enforcement, employment proceedings,
computer Forensics services. Types of
computer Forensics Techno logy- Military,
law, spyware and Adware, Biometrics
security systems
Self-learning Topics:
Relevant law to combat computer crime –
Information Technology Act 5 CO1
II Types of
Computer
Forensics
systems
Internet security, IDS, Firewall, Public key,
net privacy systems.
Self-learning Topics: Types of IDS and
Firewall 6 CO2

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University of Mumbai, B. E. (Information Technology), Rev 2016 282 III Computer
Forensics
evidence and
capture Data recovery, evidence collection and data
seizure, duplication and preservation
of digital evidence.
Self-learning Topics: dd, WinHex,
Helix3Pro 6 CO3
IV Computer
Forensics
Analysis Discovery of electronic evidence - electronic
document discovery, identification
of data - Time keeping, forensic identification
and analysis of technical surveillance
devices.
Self-learning Topics: 8 CO4
V The information
warfare Arsenal
and Tactics of
terrorists and
Rogues The Terrorist profile, the dark world of the
cyber underground, new tools of
terrorism, information warfare.
Self-learning Topics: Case study
https://icct.nl/app/uploads/2021/05/Handboo
k-ch-29-Jayakumar -Cyber -Attacks -by-
Terrorists -and-other -Malevolent -Actors.pdf 6 CO5
VI Advance
Computer
Forensics
Advanced computer Forensics systems and
future directions - advanced encryption,
hacking, adva nced trackers.
Self-learning Topics : +Autopsy, SIFT
Workstation 6 CO6
Text Books:
1. John R. Vacca, “Computer Forensics: Computer Crime Scene Investigation”, Cengage Learning, 2nd Edition .
2. Marjie T Britz, “Computer Forensics and Cyber Crime: An Introduction”, Pearson Education, 2nd Edition
3. Cyber terrorism and Information warfare by M.N Sirohi
References:
4. Mari E -Helen Maras, “Computer Forensics: Cybercriminals, Laws, and Evidence”, Jones & Bartlett Learning; 2nd
Edition, 2014.
5. Majid Yar, “Cybercrime and Society”, SAGE Publications Ltd, Hardcover, 2nd Edition
6. Cyber Forensics: A Field Manual for Collecting, Examining, and Preserving Evidence of Computer.
7. Handbook of Computer Crime Investigation, edited by Eoghan Casey

Assessment:
Internal Assessment Test:

Assessment consists of two tests out of which; one should be compulsory class test (on minimum
02 Mod ules) and the other is either a class test or assignment on live problems or course project.
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these any
four questions to be attempted by students. Minimum 80% syllabus should be covered in question papers of end
semester examination

Page 102

University of Mumbai, B. E. (Information Technology), Rev 2016 283 Teaching Scheme (Contact
Hours)
Credits Assigned
Theory Practical Tutorial Theory Practical
& Oral Tutorial Total
MEISL 201 Program Lab -II -- 2 -- -- 1 -- 01

Subject Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical/
Oral Total Internal assessment End Sem.
Exam Test1 Test 2 Avg. of
2 Tests
MEISL 201 Program lab II
-- -- -- -- 25 25 50
Lab Objectives: Six Lab Objectives
Sr.No Course Objectives
1 To comprehend application and web security issues
2 To learn about the various malicious software and techniques to combat them
3 To study the Network security aspects and tools to apply the security to a given network
4 To develop and deploy smart contracts on local Blockchain.
5 To deploy the smart contract on test networks.
6 To develop a full -fledged decentralized application.


Lab Outcomes: Six Lab outcomes (Based on Blooms Taxonomy)
Sr.No Course Outcomes BT level
1 To analyze the application and web security issues and use tools to handle them 3,4
2 To identify the various malicious software and use techniques to combat them 2,4
3 To interpret the Network security aspects and handle the tools to apply the security
to a given network 2,4
4 Develop and test smart contract on local Blockchain. 3,4
5 Develop and test smart contract on Ethereum test networks. 3,4
6 Write and deploy smart contract using Remix IDE and Metamask. 4

Prerequisite: Operating Systems, VM ware, and Computer and Network Security, Java, python, Javascript

DETAILED SYLLABUS: Syllabus related Lab experiment must be considered and mapped with Blooms Taxonomy.
total six module for each subject and total 24 hours to be dis tributed among six modules.
Sr.
No. Module Detailed Content Hours LO
Mapping
0 Prerequisite Operating Systems, VM ware, and
Computer and Network Security.
Java, Python, JavaScript 2 —

Page 103

University of Mumbai, B. E. (Information Technology), Rev 2016 284 1 Application & Web
Security 1. To ensure the security of a web
browser (Mozilla Firefox/Google
Chrome).
2. Demonstrate different types of
vulnerabilities for hacking websites /
Web Applications.
3. Analysis of the Security
Vulnerabilities of E -commerce
services 4 LO1
2 Malicious So ftware
and Anti -Virus
Software 1. Capturing malware using honeypots,
implementing honeypots, medium
interaction, and high interaction
honeypots.
2. Malware analysis tools and
techniques
3. Antivirus Software and their
functionality 4 LO2

3
Network Security 1. Study and demonstrate the use of
Reconnaissance tools for network
information gathering.
2. Study the features of firewall in
providing network security and set
Firewall Security in windows.
3.To setup and configure an IDS 4 LO3

4 Local Blockchain Introduction to Truffle, establishing
local Blockchain using Truffle
Mini Project: Allocation of the groups 2 LO4
5 Smart contracts Solidity programming language, chain
code(Java/JavaScript/Go), deployment
on Truffle local Blockchain
2 LO4
6 Deployment and
publishing smart
contracts on
Ethereum test
network Ethereum Test networks
(Ropsten/Gorelli/Rinkeby),deployment
on test networks, Web3.js/Web3.py for
interaction with Ethereum smart
contract
3 LO5
7 Remix IDE and
Metamask Smart contract development and
deployment using Metamask and
Remix
3 LO6

Text Books:
1. Ethereum Smart Contract Development, Mayukh Mukhopadhyay, Packt publication.
2. Solidity Programming Essentials: A Beginner's Guide to Build Smart Contracts for Ethereum and Blockchain, Ritesh
Modi, Packt publication.
3. Hands -on Smart Contract Development with Hyperledger Fabric V2, Matt Zand, Xun Wu , and Mark Anthony Morris,
O’Reilly.
4. Hacking Web Apps -Detecting & Preventing Web Application Security problems -Mike Shema, Syngress -Elsevier
5. Hacking Malware & Rootkits exposed -Malware & Rootkits exposed Security Secrets & SolutionsMichael A Davis, Sean
M Bodmer, Aaron LeMasters -McGraw Hill
6. Wireshark Network Analysis_ The Official Wireshark Certified Network Analyst Study Guide

References:

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University of Mumbai, B. E. (Information Technology), Rev 2016 285 1. Mastering Blockchain, Imran Bashir, Packt Publishing
2. Introducing Ethereum and Solidity, Chris Dannen, APress.
3. Hands -on Blockchain with Hyperledger, Nitin Gaur, Packt Publishing.
Online References:
1. https://trufflesuite.com/
2. https://metamask.io/
3. https://remix.ethereum.org/

Term -Work: Term -Work shall consist of 10 experiments a Also Term -work must include at least 2 assignments
Term Work Marks : 25 Marks (Total marks) =15 Marks (10 Experiments) + 5 Marks (Assignments) + 5 Ma rks (Attendance)
Oral Exam: An Oral exam will be held based on the experiments conducted.













Teaching Scheme (Contact
Hours)
Credits Assigned
Course Code Course Name Theory Practical Tutorial Theory Practical
& Oral Tutorial Total
MEISL 202 Design
Thinking Lab
(SBL) -- 4 -- -- 2 -- 02

Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical/
Oral Total Internal assessment End
Sem.
Exam Test1 Test 2 Avg. of 2
Tests
MEISL 202 Design Thinking
Lab (SBL) -- -- -- -- 50 50 100

Page 105

University of Mumbai, B. E. (Information Technology), Rev 2016 286 Lab Objectives:

Sr. No Lab Objectives
1 Understand the design thinking process.
2 Understand and prepare a detail journey map for your problem.
3 Understand and design a mock -up and innovation model of your problem.
4 Understand the different technologies and apply it.
5 Understand and create a prototype
6 Use testing software by apply different test modes.
Lab Outcomes:
Sr.
No Lab Outcomes Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Understand and apply the design thinking process. L1,L2,L3
2 Prepare a detail journey map for your problem. L1,L2,L3
3 Design a mock -up and innovation model of your problem. L6
4 Understand the different technologies and apply it. L1,L2
5 create a prototype for your problem L6
6 Use testing software by apply different test modes. L1,L2,L3,L4

Prerequisite: Any programming language .
DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours LO
Mapping
I Introduction Concept of design thinking, what
is design thinking, core elements
of design thinking. Key principles
and mindset. Mindset & attitudes.
Five different phases of Design
thinking.
06 LO1
II Deconstructing
stereotypes through
creative
collaboration &
Immersion. . Structure of the project
Focus: gender equality
Results of the creative collaboration.
Immersion , Reframing , Exploratory
Research , Desk Research . 04 LO2
III A step -by-step guide A thousand and one methods
Facilitate your team
Be curious!
Be compassionate!
Be creative!
Be constructive! 04 LO3

Page 106

University of Mumbai, B. E. (Information Technology), Rev 2016 287 IV Analysis and
Synthesis Insight Cards , Affinity
Diagram , Conceptual Map ,
Guiding Criteria , Personas ,
Empathy Map , User’s journey ,
Blueprint. 06 LO4
V Ideation Brainstorming , Co-creation
workshop , Idea Menu , Decision
Matrix. 05 LO4,LO5
VI Prototyping and
tesing Paper Prototyping , Volumetric
Model , Staging , Storyboard,
Service Prototyping . Use tools
for testing. 05 LO6

Text & Refernces Books:
1. An introduction to design thingking, standard.
2. A practical guide for design thinking, 2019
3. Design thinking a guide book
4. Design Thinking Business Innovation.
5. Handbook of Design Thinking tips and tools for how to design thinking.
6. Design Thinking Handbook, Eli Woolery.


Guidelines for Mini Project as per above syllabus.
 Students shall form a group of 3 to 4 students, while forming a group shall not be allowed less than three or
more than four students, as it is a group activity.
 Students should do survey and identify needs, which shall be converted into problem statement how to
contribute to open source mini project in consultation with faculty supervisor/head of department/internal
committee of faculties.
 Students shall submit implementation plan in the form of Gantt/PERT/CPM chart, which will cover weekly
activity of recent contribute to open source mini pro ject.
 A log book to be prepared by each group, wherein group can record weekly work progress, guide/supervisor
can verify and record notes/comments.
 Faculty supervisor may give inputs to students during mini project activity; however, focus shall be on s elf-
learning.
 Students in a group shall understand contribute to open source problem effectively, propose multiple solution
and select best possible solution in consultation with guide/ supervisor.
 Students shall convert the best solution into working mo del using various components of their domain areas
and demonstrate.
 The solution to be validated with proper justification and report using open source tools to be compiled in
standard format of University of Mumbai.
 With the focus on the self -learning, innovation, addressing societal problems and entrepreneurship quality
development within the students through the open source Mini Projects .

Guidelines for Assessment of Mini Project:
Term Work
 The review/ progress monitoring committee shall be constituted by head of departments of each institute.
The progress of mini project to be evaluated on continuous basis, minimum two reviews in each
semester.

Page 107

University of Mumbai, B. E. (Information Technology), Rev 2016 288  In continuous assessment focus shall also be on each individual student, assessment based on indiv idual’s
contribution in group activity, their understanding and response to questions.
 Distribution of Term work marks for both semesters shall be as below;
o Marks awarded by guide/ supervisor based on log book : 30
o Marks awarded by review committee : 10
o Quality of Project Report :05


Term Work:

Term Work shall consist of at least 10 practical based on the above list. Also Term Wor k Journal must include Mini -Project as
mentioned in above syllabus.

Term Work Marks : 50 Marks (Total marks) = 40 Marks (Mini -project) + 5 Marks (Attendance)

Oral Exam : An Oral exam will be held based on the above syllabus.





Course Code Course Name Credits
IE2011 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 oppor tunities and threats to the project and decide an approach to deal with them
strategically.

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University of Mumbai, B. E. (Information Technology), Rev 2016 289 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 pro ject team, Stages of team
development & growth (forming, storming, 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 leveling, Goldratt's critical chain, Project
Stakeholders and Communication plan.
Risk Management in projects: Risk management planning, Risk identification
and risk register. Qualitative and quantitative risk assessment, Probability and impact
matrix. Risk response strategies for positive and negative risks

6
05 5.1 Executing Projects:
Planning monitoring and controlling cycle. Information needs and reporting, 8

Page 109

University of Mumbai, B. E. (Information Technology), Rev 2016 290 engaging with all stakeholders of the projects.
Team management, communication and project meetings.
Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed; Using
milestones for measurement; change requests and scope creep. Project audit.
Project Contracting
Project procurement management, contracting and outsourcing,




06 Project Leadership and Ethics:
Introduction to project leadership, ethics in projects.
Multicultural and virtual projects.
Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, Starvation), Pro cess of project
termination, completing a final report; doing a lessons learned analysis; acknowledging
successes and failures; Project management templates and other
resources; Managing without authority; Areas of further study.



6




REFERENCES:

1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach, Wiley India, 7thEd.
2. A Guide to the Project Management Body of Knowledge (PMBOK ® Guide), 5th Ed, Project
Management Institute PA, USA
3. Gido Clements, Project Management, Cengage Learni ng.
4. Gopalan, Project Management, , Wiley India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 110

University of Mumbai, B. E. (Information Technology), Rev 2016 291 Course Code Course Name Credits
IE2012 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 Market s
— 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 Annuity
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; Limitations of Ratio Analysis.


09


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)

10

Page 111

University of Mumbai, B. E. (Information Technology), Rev 2016 292 Working Capital Management: Concepts of Meaning Working Capital;
Importance of Working Capital Management; Factors Affecting an Entity’s Working
Capital Needs; Estimation of Working Capital Requirements; Management of
Inventories; Management of Receivables; and Management of Cash and Marketable
Securities.



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 Theories and Approaches — Net Income Approach, Net Operating Income
Approach; Traditional Approach, and Modigliani -Miller Approach. Relation between
Capital St ructure and Corporate Value; Concept of
Optimal Capital Structure


05

06 Dividend Policy: Meaning and 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



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.

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture ho urs as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 112

University of Mumbai, B. E. (Information Technology), Rev 2016 293 Course Code Course Name Credits
IE2013 Enterpreneurship Development 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 Capital 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 Impor tance 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 entrepreneurship -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
management, linkage with large industries), exercises, e-Marketing
08

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

Page 113

University of Mumbai, B. E. (Information Technology), Rev 2016 294 REFERENCES:

1. Poornima Charantimath, Entrepreneurship development - Small Business 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 Enterprises in Global Perspective, New century Publications, New
Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahm edabad
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


Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 114

University of Mumbai, B. E. (Information Technology), Rev 2016 295 Course Code Course Name Credits
IE2014 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 & different aspects of HRM.
4. To acquaint the student with the importance of inter-personal & inter -group behavioral skills in an
organizational setting r equired 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 developments and trends in HRM.
4. Apply the knowledge of behavioral 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 change, Restructuring and rightsizing,
Empowerment, TQM, Managing ethical issues.


5






02 Organizational Behavior (OB)
 Introduction to OB Origin, Nature and Scope of Organizational Behavior,
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 Behavior.
 Motivation: Theories of Motivation and their Applications for
Behavioral Change (Maslow, Herzberg, McGregor);
 Group Behavior 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





7

03 Organizational Structure &Design
 Structure, size, technology, Environment of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and
6

Page 115

University of Mumbai, B. E. (Information Technology), Rev 2016 296 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.



04 Human resource Planning
 Recruitment and Selection process, Job -enrichment, Empowerment - Job-
Satisfaction, employee morale.
 Performance Appraisal Systems: Traditional & modern methods,
Performance Counseling, 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 diversity at work , Causes of diversity, managing
diversity with special reference to handicapped, women and ageing
people, intra com pany 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 Act



10


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

Assessment :

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

Page 116

University of Mumbai, B. E. (Information Technology), Rev 2016 297 End Semester Theory Examination:
Some guidelines for setting up the question pa per. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of to tal six question
2. All question carry 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.

Page 117

University of Mumbai, B. E. (Information Technology), Rev 2016 280 Course Code Course Name Credits
IE2015 Professional Ethics and Corporat 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 Resour ces

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 the Ministry of Corporate Affairs,
Government of India, Legal Aspects of Corporate Social
Responsibility —Companies Act, 2013.
08

Page 118

University of Mumbai, B. E. (Information Technology), Rev 2016 281 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 Man uel G. Velasquez; Publisher: Pearson,
New Delhi.
4. Corporate Social Responsibility in India (2015) by BidyutChakrabarty, Routledge, New Delhi.
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the o ther is either a
class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In que stion paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 119

University of Mumbai, B. E. (Information Technology), Rev 2016 282 Course Code Course Name Credits
IE2016 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 com plex data or situations clearly
4. Review and analyze research findings



Module
Detailed Contents
Hrs



01 Introduction and Basic Research Concepts
Research – Definition; Concept of Construct, Postulate, Proposition,
Thesis, Hypothesis, Law, Principle.Research methods vs Methodology
Need of Research in Business and Social Sciences
Objectives of Research
Issues and Problems in Research
Characteristics of Research:Systematic, Valid, Verifiable, Empirical and
Critical


09


02 Types of Research
Basic Research
Applied Research
Descriptive Research
Analytical Research
Empirical Research
2.6 Qualitative and Quantitative Approaches

07

03 Research Design and Sample Design
Research Design – Meaning, Types and Significance
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
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




08

Page 120

University of Mumbai, B. E. (Information Technology), Rev 2016 283 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
Preparation of the report on conclusion reached
Validity Testing & Ethical Issues
Suggestions and Recommendation
04




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



Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is either a
class test or at least 6 assignment on complete syllabus or course project.

End Semester Theory Examin ation:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mentio n in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 121

University of Mumbai, B. E. (Information Technology), Rev 2016 284 Course Code Course Name Credits
IE2017 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, Ne ed 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) activein IPR enforcement
Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP laws in
India, Indian IPR, Administrative Machinery, Major international treaties signed by
India, Procedure for submitting patent and Enforce ment 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 inf ringement, Method of getting a patent

07

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 Publicationetc, Time frame and
cost, Patent Licensing, Patent Infringement
07

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University of Mumbai, B. E. (Information Technology), Rev 2016 285 Patent databases: Important websites, Searching international databases


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. Lous Harns, 2012, The enforcement of Intellactual Property Rights: A Case Book, 3rd Edition, WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition, Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2-11, Intellectual Property Rights, 2nd Edition, Serial Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st Edition, BS
Publications
11. Entrep reneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual Property
Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers, World
Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti M athur, 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 scient ists, Wiley -IEEE Press
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is either a
class test or at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 123

University of Mumbai, B. E. (Information Technology), Rev 2016 286 Course Code Course Name Credits
IE2018 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 Digital 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 services, e -supply chains, Collaborative Commerce, Intra business EC
and Corporate portals
Other E -C models and application s, 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
busin ess, Launching a successful online business and EC project, Legal, Ethics
and Societal impacts of EC






06

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University of Mumbai, B. E. (Information Technology), Rev 2016 287
3 Digital Business Support services : 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 Protocols over Public Networks: HTTP,
SSL, Firewall as Security Control, Public Key Infrastructure (PKI) for Security,
Prominent Cryptographic Applications



06


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


References:

1. A textbook on E -commerce , Er Arunrajan 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 Challenges 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 Electronic 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

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is either a
class test or at least 6 assignment on complete syllabus or course project.

Page 125

University of Mumbai, B. E. (Information Technology), Rev 2016 288 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers
of end semester examination. In question paper weightage of each module will be proportional to number
of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry 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.

Page 126

Course Code Course Name Credits
IE2019 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 enviro nment related legislations



Module
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 & 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


REFERENCES:

1. Environmental Management: Principles and Practice, C J Barrow,

Page 127

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, T V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Systems — 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 Theodore, CRC Press
7. Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015



Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be
covered in question papers of end semester examination. In question paper
weightage of each module will be proportional to number of respective lecture
hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry 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 questi on need to be solved.