M E Information Technology1_1 Syllabus Mumbai University

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Mumbai University Revised 2016 syllabus of ME - IT Page 1





UNIVERSITY OF MUMBAI




Syllabus for the
M. E. (Information Technology)
Revised 2016


Choice Based Credit and Grading System

(As per Choice Based Credit and Grading System with
effect from the academic year 2016–2017)

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From Co-ordinator’s Desk:-


To meet the challenge of ensuring excellence in eng ineering education, the issue of quality needs to b e
addressed, debated taken forward in a systematic ma nner. Accreditation is the principal means of quali ty
assurance in higher education. The major emphasis o f accreditation process is to measure the outcomes
of the program that is being accredited. In line wi th this Faculty of Technology of University of Mumb ai
has taken a lead in incorporating philosophy of out come based education in the process of curriculum
development.
Faculty of Technology, University of Mumbai, in one of its meeting unanimously resolved that, each
Board of Studies shall prepare some Program Educati onal Objectives (PEO’s) give freedom to affiliated
Institutes to add few (PEO’s) course objectives cou rse outcomes to be clearly defined for each course, so
that all faculty members in affiliated institutes u nderstand the depth approach of course to be taught ,
which will enhance learner’s learning process. It w as also resolved that, maximum senior faculty from
colleges experts from industry to be involved while revising the curriculum. I am happy to state that ,
each Board of studies has adhered to the resolution s passed by Faculty of Technology, developed
curriculum accordingly. In addition to outcome base d education, Choice Based Credit and Grading
System is also introduced to ensure quality of engineering education.
Choice Based Credit and Grading System enables a mu ch-required shift in focus from teacher-centric to
learner-centric education since the workload estima ted is based on the investment of time in learning not
in teaching. It also focuses on continuous evaluati on which will enhance the quality of education.
University of Mumbai has taken a lead in implementi ng the system through its affiliated Institutes
Faculty of Technology has devised a transparent cre dit assignment policy adopted ten points scale to
grade learner’s performance. Credit grading based s ystem was implemented for First Year of Engineering
from the academic year 2016-2017. Subsequently this system will be carried forward for Second Year
Engineering in the academic year 2017-2018, for Thi rd Year Final Year Engineering in the academic
years 2018-2019, 2019-2020, respectively.








Dr. S. K. Ukarande

Co-ordinator,

Faculty of Technology,

Member - Academic Council

University of Mumbai, Mumbai

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Preamble




It is an honor and a privilege to present the revis ed syllabus of Master of Engineering in Information
Technology (effective from year 2016-17) with inclu sion of cutting edge technology.
Information Technology is comparatively a young bra nch among other engineering disciplines in
University of Mumbai. It is evident from the placem ent statistics of various colleges affiliated to
University of Mumbai that IT branch has taken the l ead in the placement. The branch also provides
multi-faceted scope like better placement and prom otion of entrepreneurship culture among students,
and increased Industry Institute Interactions.
It has been observed that graduate engineers having work experience in IT industry would prefer to
pursue their post graduate studies in IT in spite o f having done their graduation degree in any branch .
Keeping these aspects in mind, University of Mumbai has designed postgraduate courses as per current
requirements of IT industry.
The syllabus is peer reviewed by experts from reput ed industries and as per their suggestions it cover s
future trends in IT technology and research opportu nities available due to these trends.
I would like to thank senior faculties of IT depart ment of all colleges affiliated to Mumbai Universit y for
significant contribution in framing the syllabus. A lso behalf of all faculties I thank all the industr y
experts for their valuable feedback and suggestions .
I sincerely hope that the revised syllabus will hel p all post graduate engineers to face the future
challenges in the field of information and technolo gy

Program Outcome for Postgraduate Program in Informa tion Technology
1. Apply Core Information Technology knowledge to develop stable and secure IT system
2. Design, IT infrastructures for an enterpris e using concepts of best practices in information
Technology management and security to ente rprise processes.
3. Manage IT projects using written and oral c ommunication skills in collaborative environments b y
Participating on teams that address soluti ons for IT management challenges.
4. Identify and discuss professional, individu al, organizational, societal, and regulatory implic ations of
Information systems and technology.
5. Assess Security of the IT Systems and able to respond to any breach in IT system
6. Ability to work in multidisciplinary projec ts and make it IT enabled.
7. Ability to propose the system to reduce car bon footprint.
8. Ability to adapt the lifelong learning proc ess to be in sync with trends in Information Techno logy











Dr. Deven Shah

Chairman (Ad-hoc Board Information Technology)

University of Mumbai)

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Mumbai University Revised 2016 syllabus of ME - IT Page 4
Program Structure for
ME Information Technology
Mumbai University
(With Effect from 2016-2017)
Semester I
Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-ITC101 Data Science 04 -- -- 04 -- -- 04
ME-ITC102 IT Infrastructure Design 04 -- -- 04 -- -- 04
ME-ITC103 Advances in Software
Engineering 04 -- -- 04 -- -- 04
ME-
ITDLOC-
I104 Department Level
Optional Course-I 04 -- -- 04 -- -- 04
ME-
ITILOC-
I105 Institute Level Optional
Course-I 03 -- -- 03 -- -- 03
ME-ITL101 Laboratory-I -- 02 -- -- 01 -- 01
ME-ITL102 Laboratory-II -- 02 -- -- 01 -- 01
Total 19 04 -- 19 02 -- 21
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Pract./
oral Total Internal Assessment End
Sem.E
xam. Exam
Durati
on
(hrs) Test1 Test 2 Avg.
ME-ITC101 Data Science 20 20 20 80 3 -- -- 100
ME-ITC102 IT Infrastructure Design 20 20 20 80 3 -- -- 100
ME-ITC103 Advances in Software
Engineering 20 20 20 80 3 -- -- 100
ME-
ITDLOC-
I104 Department Level
Optional Course-I 20 20 20 80 3 -- -- 100
ME-
ITILOC-
I105 Institute Level Optional
Course-I 20 20 20 80 3 -- -- 100
ME-ITL101 Laboratory-I -- -- -- -- 25 25 50
ME-ITL102 Laboratory-II -- -- -- -- 25 25 50
Total 100 100 100 400 50 50 600

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# Department Level Optional Course (DLOC)
Every student is required to take one Department El ective Course for Semester I and Semester II.
Different sets of courses will run in both the seme sters. Students can take these courses from the lis t of
department electives, which are closely allied to t heir disciplines.
# Institute Level Optional Course (ILOC)
Every student is required to take one Institute Ele ctive Course for Semester I and Semester II, which is
not closely allied to their disciplines. Different sets of courses will run in the both the semesters.

Subject
Code Department Level Optional Course
(D LO C) Subject Code Institute Level Optional Course
(I LO C)
Semester I
ME-
ITDLOC-
I1041 User Experience Engineering ME-ITILOC-
I1051 Product Lifecycle Management
ME-
ITDLOC-
I1042 Adhoc Networks ME-ITILOC-
I1052 Reliability Engineering
ME-
ITDLOC-
I1043 Cloud Computing ME-ITILOC-
I1053 Management Information System
ME-
ITDLOC-
I1044 IT Strategy ME-ITILOC-
I1054 Design of Experiments
ME-
ITDLOC-
I1045 Knowledge Management ME-ITILOC-
I1055 Operation Research




ME-ITILOC-
I1056 Cyber Security and Laws
ME-ITILOC-
I1057 Disaster Management and Mitigation
Measures
ME-ITILOC-
I1058 Energy Audit and Management

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Semester II
Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-ITC201 Security & Risk
Management 04 -- -- 04 -- -- 04
ME-ITC202 High Performance
Computing 04 -- -- 04 -- -- 04
ME-ITC203 Advance web technology 04 -- -- 04 -- -- 04
ME-
ITDLOC-
II204 Department Level Optional
Course-I 04 -- -- 04 -- -- 04
ME-
ITILOC-
II205 Institute Level Optional
Course-I 03 -- -- 03 -- -- 03
ME-ITL201 Laboratory-III -- 02 -- -- 01 -- 01
ME-ITL202 Laboratory-IV -- 02 -- -- 01 -- 01
Total 19 04 -- 19 02 -- 21
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Pract./
oral Total Internal Assessment End
Sem.E
xam. Exam
Durat
ion
(hrs) Test1 Test 2 Avg.
ME-ITC201 Security & Risk
Management 20 20 20 80 3 -- -- 100
ME-ITC202 High Performance
Computing 20 20 20 80 3 -- -- 100
ME-ITC203 Advance web technology 20 20 20 80 3 -- -- 100
ME-
ITDLOC-
II204 Department Level Optional
Course-I 20 20 20 80 3 -- -- 100
ME-
ITILOC-
II205 Institute Level Optional
Course-I 20 20 20 80 3 -- -- 100
ME-ITL201 Laboratory-III -- -- -- -- 25 25 50
ME-ITL202 Laboratory-IV -- -- -- -- 25 25 50
Total 100 100 100 400 50 50 600

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# Department Level Optional Course (DLOC)
Every student is required to take one Department Le vel Optional Course for Semester I and Semester II.
Different sets of courses will run in both the seme sters. Students can take these courses from the lis t of
department electives, which are closely allied to t heir disciplines.
# Institute Level Optional Course (ILOC)
Every student is required to take one Institute Lev el Optional Course for Semester I and Semester II,
which is not closely allied to their disciplines. D ifferent sets of courses will run in the both the s emesters.


Subject Code Department Level Optional Course
(DLOC) Subject Code Institute Level Optional Course
(ILOC)
Semester II
ME-
ITDLOC-
II2041 E-Business & Social Network Analysis ME-ITILOC-
II2051 Project Management
ME-
ITDLOC-
II2042 AI & Machine Learning ME-ITILOC-
II2052 Finance Management
ME-
ITDLOC-
II2043 Ethical Hacking & Forensic ME-ITILOC-
II2053 Entrepreneurship Development and
Management
ME-
ITDLOC-
II2044 Internet of Things ME-ITILOC-
II2054 Human Resource Management
ME-
ITDLOC-
II2045 Advanced Software Quality Assurance ME-ITILOC-
II2055 Professional Ethics and CSR
ME-ITILOC-
II2056 Research Methodology
ME-ITILOC-
II2057 IPR and Patenting
ME-ITILOC-
II2058 Digital Business Management
ME-ITILOC-
II2059 Environmental Management

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Semester III
Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-
ITS301 Seminar
-- 06 -- -- 03 -- 03
ME-
ITD301 Dissertation 1
-- 24 -- -- 12 -- 12
Total -- 30 -- -- 15 -- 15
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Oral. Oral Internal Assessment End
Sem.Exa
m. Test1 Test 2 Avg.
ME-
ITS301 Seminar -- -- --
-- 50 50 100
ME-
ITD301 Dissertation 1 -- -- --
-- 100 -- 100
Total -- -- -- -- 150 50 200

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Semester IV
Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ME-
ITD401 Dissertation II
-- 30 -- -- 15 -- 15
Total -- 30 -- -- 15 -- 15
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Oral Total Internal Assessment End
Sem.Exa
m. Test1 Test 2 Avg.
ME-
ITD401 Dissertation II -- -- --
-- 100 100 200
Total -- -- -- -- 100 100 200

* The Term Work and Oral of Project II of Semester IV should be assessed jointly by the pair of
Internal and External Examiners

Note- The Contact Hours for the calculation of load of te acher are as follows
Seminar - 01 Hour / week / student
A project I and II - 02 Hour / week / student


End Semester Examination: In all, six questions to be set, each of 20 marks, out of these any four
questions to be attempted by students. Each questio n will comprise of mixed questions from different
units of the subjects.

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Semester I

Subject Code Subject Name Credits
ME-ITC101 Data Science 04
Course Objectives:
• Provide Insights about the Roles of a Data Scientis t and enable to analyze the Big Data.
• Understand the principles of Data Science for the data analysis an d l earn cutting edge tools and
techniques for data analysis.
• Figure Out Machine Learning Algorithms.
• Learn business decision making and Data Visualization

Course Outcomes:
The student should be able:
• Demonstrate knowledge of statistical and e xploratory data analysis data analysis techniques utilized
in decision making.
• Apply principles of Data Science to the analysis of business problems.
• To use Machine Learning Algorithms to solve real-world problems.
• To provide data science solution to business proble ms and v isualization.

Prerequisite: fundamentals of data base, basic pro gramming skills

Sr.
No. Module Detailed Content Hours
Prerequisite Relational database, KDD process, Introduction to B IG
data, What is Hadoop, Core components of Hadoop,
Hadoop ecosystem. 3
I An Introduction to Data
Science Definition, working, benefits and uses of Data Scie nce,
Data science vs BI, The data science process, Role of a
Data Scientist,
4
II Statistical Data Analysis &
Inference Populations and samples, Statistical modeling, prob ability
distributions, fittings a model, Statistical metho ds for
evaluation, Exploratory Data Analysis, Getting sta rted
with R, Manipulating and Processing data in R , working
with function in R , Working with descriptive Stati stics,
Working with graph plot in R.
8
III Learning Algorithms k-nearest neighbor, Simple and multiple Linear
Regression, Logistic Regression, Support vector ma chine,
Model-Based Clustering, Clustering High-Dimensional
Data,
12
IV Data Visualization Data Visualization basics, te chniques, types, applications,
tools, Data Journalism, Interactive dashboards, 8
V Advance Analytical Methods Text Analysis- Text an alysis steps, A text analysis
example, Collecting raw text and representing text, TF and
TFIDF, Categorizing documents by topics, determinin g 8

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sentiments,
Time series analytics- overview, ARIMA model,
VI Business problems and data
science solutions Data Science and Business Strategy: Thinking Data-
Analytically, Redux, Competitive Advantage with Dat a
Science, Data Science Case Studies, Case Study: Glo bal
Innovation Network and Analysis. 5
Text Books:
1. Data science and big data analytics, EMC
2. Doing Data Science, Rachel Schutt and Cathy O’Neil
3. Introducing Data Science, Davy Cielen
4. Data Science for Business, Foster Provost and To m Fawcett, O’Reilly. Copyright © 2013
References:
1. Regression Analysis by Example,
2. Data Mining Concepts and Techniques, Third Edition, Jiawei Han, Micheline Kamber, Jian Pei,
Morgan Kaufmann
3. An Introduction to Statistical Learning with Applic ations in R , Gareth James • Daniela Witten •
Trevor Hastie, Robert Tibshirani, Springer

List of Experiments : based on Laboratory Practical’s/ Case studies
1. Exploratory Data Analysis and regression using R .
2. Text Analysis using R
3. Business problem : Data science solution.
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of the end semester examination.

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Subject Code Subject Name Credits
ME-ITC102 IT Infrastructure Design 04
Course Objective :
• Provide knowledge of Enterprise wide Network Design .
• Provide Knowledge of Data center design includes St orage network
• Give insight into the implementation of SDN and how it will impact current Design practice
• Understand latest trend in SDN


Course Outcome : Students should be able to
• Design Enterprise wide network design considering v arious QoS Parameter
• Explain the design challenge of large scale data ce nter
• Implementation of SDN and how it will impact curren t Design practice
• explain latest trend in SDN

Prerequisite : Basic knowledge of Networking techniques.

Module Detailed content Hours
Prerequisite - Basic of Networking Topology
- OSI Layer Basics
- Basics of Internetworking Devices 3
I Enterprise Network Design:
Understanding Network Requirement analysis, Archit ecture and Design
Process
Network Architecture: Component Architecture –Routi ng, Network
Management, Performance, Security.
Architectural models: topological, flow model, Func tional model
Addressing And Routing Architecture, Network Manage ment Architecture,
Performance Architecture
Border less Network Architecture.
Network Design: Designing the network topology and solutions-Top Down
Approach
Network Structure Model: Hierarchical Network Model , Enterprise wide
network Architecture model- Enterprise Edge Area. E -commerce, Internet
Connectivity to remote, enterprise branch and enter prise Data center module.
High Availability Network Services- Workstation to Router redundancy and
LAN High Availability protocols, Route, Server Redu ndancy, Load Balancing.,
link Media Redundancy. 8
II. Enterprise LAN Design: Ethernet Design Rule. 1 00 Mbps Fast Ethernet Design
rules, gigabit Ethernet Design Rules, 10 Gigabit Et hernet Design rules, 10GE
Media types
Understanding Working of Repeater, hub, Bridge, rou ters, Layer2/3 Switch
Campus LAN Design Best Practice
Server Farm Design, DMZ design.
Campus LAN QoS consideration
Multicast Traffic Consideration
6
III. Data Center Design: Architecture Consideration : Infrastructure Model, Service
Layers Model of Cloud computing.
Cloud Reference Architecture Framework, Cloud Data Center Building Blocks.
Cloud Data Center Technology Architecture Trust in Cloud Data Center The
elements of cloud visibility The elements of cloud protection Cloud Control,
Compliance and SLA.
Telecommunications Infrastructure Standard for Data Centers
ANSI/TIA-942 Telecommunications Infrastructure Stan dard for Data Centers , 10

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NSI/NECA/BICSI-002 Data Center Design and Implement ation Best Practices
Purpose of TIA-942 Design Elements - Cabling Design , Facility Design,
Network Design.
Relationship of Spaces, Data Center Topology Data C enter Tiers Basic Data
Center Design Example.
IV. Enterprise Wireless LAN Architecture: Component s of Centralize Architecture:
understanding 802.11X standards, LWAPP WLAN Control ler. WLAN
technologies (Narrow Band, Spread Spectrum, FHSS, D SS) and topologies,
Wireless Network Components: Access Point and NICs, Router etc; WLAN
enterprise design, WLAN performance, WLAN monitorin g and
troubleshooting, WLAN security. Intra and inter con troller roaming. 5
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 Storag e Network, Adopting and
Managing SAN. 7
VI. Software Defined Network : Understanding SDN an d Open Flow : SDN –
Network Virtualization Techniques, SDN Building Bl ocks, OpenFlow
messages – Controller to Switch, Symmetric and Asyn chronous messages,
Implementing OpenFlow Switch, OpenFlow controllers , PoX and NoX,
NetApp Development on top of SDN, Open Flow in Clou d Computing. Case
study: how SDN changed Traditional Enterprise netwo rk Design 9

References:

1. Network Analysis, Architecture, and Design 3 rd Edition, Morgan Kaufman, James D.
2. CCDA Cisco official Guide
3. Cisco Cloud Computing - Data Center Strategy, Archi tecture, and Solutions by Kapil Bakshi -
Cisco Systems White paper
4. https://en.wikipedia.org/wiki/TIA-942
5. "Data Center Top-of-Rack Architecture Design" . White paper . Cisco Systems. April 18, 2011.
Retrieved July 10, 2013.
6. Software Defined Networking with Open Flow : PACKT Publishing Siamak Azodolmolky
7. Storage Network Management and Retrieval by Dr. Vai shali Khairnar, Nilima Dongre, Wiley
India
8. Storage Networks explained by Ulf Troppen, wiley pu blication
9. Storage Area Network Essentials: A Complete Guide t o Understanding and Implementing SANs
by Richard Barker, Paul Massiglia, Wiley India

List of Experiments: based on Laboratory Practical’s/ Case studies
1. Design on Enterprise LAN.
2. Design on Enterprise Wireless LAN.
3. Case study on SAN and RAID.

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Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of the end semester examination.

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Subject Code Subject Name Credits
ME-ITC103
Advances in Software Engineering 04
Course Objectives: Objectives of this course include:
1. To learn and understand the principles of Software Engineering
2. To Learn and understand Software Development Life C ycle
3. To apply Project Management and Requirement analysi s principles to S/W project development..
4. To apply Design and Testing principles to S/W proje ct development.
Course Outcomes: On successful completion of the co urse students will be able to
1. Compare and chose a process model for a software pr oject development.
2. Analyze and model software requirements of a softwa re system
3. Design and Modeling of a software system with tools
4. Prepare the SRS, Design document, Project plan of a given software system
Prerequisite: Any programming language


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours
Prerequisite Nature of Software, Software Definiti on, Software
characteristics, Software Application Domains, Soft ware
Myths, Software Engineering Practice
03
I Nature of Software Software Engineering, The So ftware Process, A Generic
Process Model, Prescriptive Process Models: The Wat erfall
Model, Incremental Process Models, Evolutionary Pro cess
Models, Concurrent Models, Specialized Process Mode ls,
The Formal Methods Model, The Unified Process Perso nal,
Agility Principles , Extreme Programming (XP), Scru m,
Introduction to Clean Room Software Engineering 06
II Requirements
Engineering Requirements Engineering, Eliciting Requirements,
Collaborative Requirements Gathering, Quality Funct ion
Deployment, Usage Scenarios, Elicitation Work Produ cts,
Developing Use Cases, Building the Requirements Mod el,
Negotiating Requirements, Validating Requirements,
Analysis: Scenario-Based Modeling, UML Models,
Developing an Activity Diagram, Swim-lane Diagrams,
Class-Based Modeling, Requirements Modeling Strateg ies:
Flow Oriented Modeling, Creating a Behavioral Patte rns for
Requirements Modeling, State Machine Diagram with
orthogonal states, Requirements Modeling for Web Ap ps, 08

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SRS
III Design Methods and
Models The Design Process, Concepts of design, Design Qua lity,
Design Principles, Object-Oriented Design Concepts, Design
Classes, The Design Model and elements, Software
Architecture, Importance, Architectural Styles, Arc hitectural
Design, Assessing Alternative Architectural Designs , using
Architectural Styles in Designs, Component Design, Class-
Based Components, Conducting Component Level Design ,
Component-Level Design for WebApps, User Interface
Design, The Golden Rules, User Interface Analysis a nd
Design, Interface Analysis Interface Design Steps, WebApp
Interface Design, Design Evaluation, Design Documen t,
Modifiability: SAAM Method, ATAM Method, The
HASARD Method. 08
IV Testing Principles Principles A Strategic Approa ch to Software Testing,
Strategic Issues, Test Conventional Software, Test Strategies
for Object-Oriented Software, Test Strategies for W ebApps,
Validation Testing, System Testing, The Art of Debu gging,
Software Testing Fundamentals, White-Box Testing , Basis
Path Testing, Control Structure Testing, Black-Box Testing,
Model-Based Testing, Testing for Specialized Enviro nments,
Architectures, Object-Oriented Testing Strategies, Object-
Oriented Testing Methods, Test Cases and the Class
Hierarchy, Testing Concepts for WebApps, Testing
Process—An Overview, User Interface Testing , Test plan,
Positive Testing Negative Testing 06
V Project Planning and
management The Management Spectrum, Software Scope, Problem
Decomposition, Process Decomposition , Process and project
metrics, Size-Oriented Metrics, Function Oriented M etrics,
Reconciling LOC and FP Metrics, Object-Oriented Met rics,
Integrating Metrics within the Software Process, So ftware
Project Estimation, Decomposition, Process-Based
Estimation, Estimation with Use Cases, Empirical Es timation
Models, The Structure of Estimation Models, The COC OMO
II Model , Project scheduling: Basic Concepts, Defi ning a
Task Set for the Software Project , Scheduling : Tr acking the
Schedule, Earned Value Analysis Risk management:
Reactive versus Proactive Risk Strategies, Risk
Identification, Assessing Overall Project Risk, Ris k
Projection, Developing a Risk Table, Assessing Risk , Project
Plan 11




VI Advanced Trends in
Software
Engineering Introduction to Formal Specification Languages : Ob ject
Constraint Language (OCL), Z Specification Language ,
Software reuse, Distributed software engineering, S ervice-
oriented architecture, Embedded software, Aspect-or iented
software engineering, Introduction to DevOps, Docke r,
Github. 06
Text Books:
1. Roger S Pressman “Software Engineering : A Practiti oner’s Approach “ 7th Edition Mcgraw-Hill
ISBN:0073375977
2. Ian Sommerville “ Software Engineering” 9th edition Pearson Education SBN-13: 978-0- 13-
703515-1, ISBN-10: 0-13-703515-2
3. Hong Zhu “Software Design Methodology”, Elsevier IS BN: 978-81-312-0356-9

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References:
1. Pankaj Jalote “ An Integrated Approach to Software Engineering” 3rd Edition Narosa
Publication ISBN: 81-7319-702-4
2. Rajib Mall “ Fundamentals of Software Engineering” 3rd edition PHI.
3. Pfleejer “ Software Engineering- Theory and Practic e” 4th edition
4. Martin Fowler “Distilled UML” 3rd edition Stephen H . Kan, "Metrics and Models in Software
Quality Engineering", 2nd Edition, Pearson, 2003
5. 5. Hans Van Vilet “Software Engineering Principles and Practice” 3rd edition Wiley
6. Devops.com

List of Experiments: based on Laboratory Practical’s
1. Introduction to DevOps, Docker, Github (The tools c an be used to implement practical)
2. Technical paper reading. Student will read any tech nical paper in software engineering and
explain its contents to the class.
3. Development of one software project with following deliverables
a. Analysis Model
b. Design Model
c. Working application
d. Test case Design
e. RMMM plan

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME-ITDLOC-I1041
User Experience Engineering 04
Course Objectives :
1 To stress the importance of a User Experience Engin eering (UXE).
2 To Learn User Experience Engineering (UXE) Process.
3 To understand how to design Effective and Efficient User Interfaces for intended users.
4 To Learn techquies for Prototyping and Evaluating U ser Experiences.

Course Outcomes:
1 Understand importance of User Experience (UX).
2 Gain and apply knowledge of the theoretical framewo rks, methodological approaches, and problems
solving techniques related to user experience desig n.
3 Criticize existing interface designs, and improve t hem.
4 Design complete application with end-to-end underst anding of current UXE best practices and
processes.


Pre-requisites: Web Technologies; Software Engineering; Experience in designing interfaces for
applications and web sites. Basic knowledge of desi gning tools and languages like HTML, Java, etc.

“User experience engineering (UXE)” -describe a str uctured research, design, and evaluation process
whose goal is to make user interactions with a prod uct or service easy, efficient, and enjoyable. It
evolved from usability engineering and applies psyc hological principles and methodologies.


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours
Pre-requisites HCI and Usability, Usability Paradi gms and Usability
Principles, User Interface Design Tools. 3
I Introduction What is UX, Ubiquitous interaction, Emerging desire for
usability, From usability to user experience, Emoti onal
impact as part of the user experience, User experie nce needs
a business case, Roots of usability. 6
II The Wheel: A
Lifecycle Template Introduction, A UX process lifecycle template, Choo sing a
process instance for your project, The system compl exity
space, Meet the user interface team, Scope of UX pr esence
within the team, More about UX lifecycles. 6
III Contextual Inquiry:
Eliciting Work
Activity Data Introduction, The system concept statement, User wo rk
activity gathering, Look for emotional aspects of w ork
practice, Abridged contextual inquiry process, Data -driven
vs. model-driven inquiry, History. ,Contextual Anal ysis,
Extracting Interaction Design Requirements, Constru cting
Design-Information Models. 10
IV Design Thinking,
Ideation, and
Sketching,
Prototyping Introduction, Design paradigms, Design thinking, De sign
perspectives, User personas, Ideation, Sketching, M ore about
phenomenology, Mental Models and Conceptual Design,
Wireframe, Prototyping 10
V UX Evaluation,
The Interaction UX Goals, Metrics and Targets, UX Evaluation Techni ques.-
Formative vs summative ,Analysis. 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 19
Cycle and the User
Action Framework Introduction, The interaction cycle, The user actio n
framework—adding a structured knowledge base to the
interaction cycle, Interaction cycle and user actio n
framework content categories, Role of affordances w ithin the
UAF, Practical value of the UAF.
VI UX Design
Guidelines Introduction, Using and interpreting design guideli nes,
Human memory limitations, Selected UX design guidel ines
and examples, Planning, Translation, Physical actio ns,
Outcomes, Assessment, Overall. 5

Text Books:
1. The UX Book by Rex Hartson and Pardha Pyla
2. Smashing UX Design by Jesmond Allen and James Chudl ey
3. Lean UX: Applying Lean Principles to Improve User E xperience by Jeff Gothelf and Josh Seiden
4. Don’t Make Me Think, Revisited by Steve Krug
5. The User Experience Team of One by Leah Buley
6. The Elements of User Experience by Jesse James Garrett
7. Sketching User Experiences: The Workbook by Saul Gr eenberg, Sheelagh Carpendale, Nicolai
Marquardt and Bill Buxton
References:
1. A Project Guide to UX Design by Russ Unger and Caro lyn Chandler
2. Agile Experience Design by Lindsay Ratcliffe and Ma rc McNeill
3. Universal Principles of Design by William Lidwell, Kritina Holden and Jill Butler
4. Human Computer Interaction by Alan Dix

Lab Practical’s: For any Case Study perform follow ing practicals:-
Sr.No. Description
1. Indentify and describe the objectives for UXE proje ct-
a. Perform user research
b. User requirement collection
c. User Requirement Analysis
d. Create User personas, user scenarios , customer jou rney maps etc
2. UX Design –
a. Conceptual Design- Site Maps
b. Create Wireframe
c. Create Prototype

3. UX Evaluation

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Mumbai University Revised 2016 syllabus of ME - IT Page 20
a. Set UX Goals
b. Perform UX Evaluation and Reporting


Assessment:

Term work consists of any two case studies or mini project covering the above syllabus.


Internal : Internal assessment will be of 20 marks .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 as signment on live
problems or course project.

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

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Mumbai University Revised 2016 syllabus of ME - IT Page 21

Subject Code Subject Name Credits
ME-ITDLOC-I1042
Ad-hoc Networks 04
Course Objectives:
1. Understand the basic concepts of ad-hoc networks
2. Explain the basics of mobile telecommunication s ystem
3. Be familiar with network protocol stack
4. Gain knowledge of different mobile platforms and application development
Course Outcomes:
1. Explain the basic concepts of ad-hoc networks
2. Explain the basics of mobile telecommunication s ystem
3. Identify the network protocol stack
4. Develop different mobile application using diffe rent platform.
Prerequisite: Network, Operating System, Wireless Technology

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite: Introduction – Fundamentals of Wireless Communicati on
Technology – The Electromagnetic Spectrum –
Radio Propagation Mechanisms. 3

I Introduction Wireless Network. Characteristics of the Wireless c hannel.
Cellular and Ad-Hoc Wireless Networks, Applications of
Ad-Hoc Wireless Networks/MANET/Wireless Sensor
Network/VANET. Challenges for Wireless Sensor
Networks, Enabling Technologies for Wireless Sensor
Networks. Mobility, Hidden and Exposed terminal
Problems, Characteristics of an Ideal Routing Proto col for
Ad-Hoc Wireless Networks 7
II Medium access
protocols MAC Protocols: design issues, goals and classificat ion.
Contention based protocols- with reservation, sched uling
algorithms, protocols using directional antennas. I EEE
standards: 802.11a, 802.11b, 802.11g, 802.11p, 802. 15.
HIPER LAN 8
III Ad hoc routing
protocols Introduction – Issues in Designing a Routing Protoc ol for Ad
Hoc Wireless Networks – Classifications of Routing
Protocols – Table–Driven Routing Protocols – Destin ation
Sequenced Distance Vector (DSDV) – Wireless Routing
Protocol (WRP) – Cluster Switch Gateway Routing (CS GR)
– Source–Initiated On–Demand Approaches – Ad hoc On –
Demand Distance Vector Routing (AODV) – Dynamic
Source Routing (DSR) –Temporally Ordered Routing
Algorithm (TORA) – Signal Stability Routing (SSR) –
Location–Aided Routing (LAR) – Power–Aware Routing 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 22
(PAR) – Zone Routing Protocol (ZRP).
IV Multicast routing
in ad-hoc networks Introduction – Issues in Designing a Multicast Rout ing
Protocol – Operation of Multicast Routing Protocols – An
Architecture Reference Model for Multicast Routing
Protocols –Classifications of Multicast Routing Pro tocols –
Tree–Based Multicast Routing Protocols– Mesh–Based
Multicast Routing Protocols – Summary of Tree and M esh
based Protocols – Energy–Efficient Multicasting –
Multicasting with Quality of Service Guarantees –
Application – Dependent Multicast Routing – Compari sons
of Multicast Routing Protocols. 8
V Transport layer–
security protocols Introduction – Issues in Designing a Transport Laye r
Protocol for Ad hoc Wireless Networks – Design Goal s of a
Transport Layer Protocol for Ad hoc Wireless Networ ks –
Classification of Transport Layer Solutions – TCP o ver Ad
hoc Wireless Networks – Other Transport Layer Proto cols
for Ad hoc Wireless Networks – Security in Ad Hoc W ireless
Networks – Network Security Requirements – Issues a nd
Challenges in Security Provisioning – Network Secur ity
Attacks – Key Management – Secure Routing in Ad hoc
Wireless Networks. 8
VI Mobile/vehicular
Ad-hoc Networks MANET, VANET, Design issues, Routing, MANET vs
VANET, Various Attacks on MANET/VANET, Attacks on
Routing Mechanisms, Security Mechanisms in the Netw ork
Layer, Security Mechanisms in the Data - Link Layer , Key
Management. 6
Text book
1. S. Sarkar, T. Basavraju and C. Puttamdappa, “Ad hoc mobile wireless networks principles,
protocols and applications” , second edition, CRC P ress, 2016.
2. Al-Sakib Khan Pathan, Muhammad Mostafa Monowar, Zub air Md. Fadlullah, “Building Next-
Generation Converged Networks: Theory and Practice, CRC Press, 2013.
3. Stefano Basagni, Marco Conti, Silvia Giordano, Ivan Stojmenovic, “Mobile Ad Hoc
Networking: The Cutting Edge Directions”, John Wile y 2013.
4. Feng Zhao & Leonidas J. Guibas, “Wireless Sensor Ne tworks- An Information Processing
Approach", Elsevier, 2007
References
1. C. K. Toh, “Ad Hoc Mobile Wireless Networks Protoco ls and Systems”, Prentice Hall,
PTR, 2001.
2. Charles E. Perkins, “Ad Hoc Networking”, Addison We sley, 2000
3. C. Siva Ram Murthy and B. S. Manoj, “Ad Hoc Wireles s Networks Architectures and
Protocols”, Prentice Hall, PTR, 2004
4. Holger Karl & Andreas Willig, " Protocols And Archi tectures for Wireless Sensor Networks" ,
John Wiley, 2005

Practical
1. Implement Ad-hoc network using BlueHoc Simulator.
2. Implement MANET using DARS Simulator.
3. Implement simple VANET/WSN using NS2.

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Mumbai University Revised 2016 syllabus of ME - IT Page 23

Assessment:
Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 24

Subject Code Subject Name Credits
ME-ITDLOC-
I1043
Cloud Computing 04
Course Objectives:
1. Introduce the broad perceptive of cloud architec ture and model
2. Able to set up private cloud
3. Understand the Business Aspects of Mobile Cloud Computing
4. Understands research challenges in mobile cloud computing systems
Course Outcomes:
1) Apply suitable virtualization concept
2) Design cloud services
3) Design various applications by integrating cloud se rvices using mobile cloud
4) Apply the concepts of mobile cloud computing for im plementing mobile cloud applications
Prerequisite: Mobile Computing, Cloud Computing

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite: Mobile Computing , Generations of Mobile Communication,
Mobile architecture, Mobile Operating Systems,
Applications of Mobile Communication, Challenges of
Mobile Communication, Cloud Computing , Cloud
Computing Architecture, Cloud Computing Deployment
Models, Issues of Cloud Computing. 3

I Cloud Computing Virtualization Techniques, Cloud Infrastructure ,
Architecture Design of Compute and Storage Clouds, Design
challenges-Inter Cloud Resource Management, Resourc e
Provisioning and Platform Deployment, Cloud Sim Sim ulator 7
II Mobile Cloud
Computing Introduction, Motivation to Mobile Cloud Computing,
Architecture of Mobile Cloud Computing, Platform an d
Technologies, Mobile Augmentation Approaches, Issue s of
Mobile Cloud Computing, Advantages of Mobile Cloud
Computing, Applications of Mobile Cloud computing,
Research Challenges in Mobile Cloud Computing 8
III Offloading in
Mobile Cloud
Computing Introduction, Offloading Decision, Types of Offload ing,
Topologies of Offloading, Offloading in Cloud Compu ting
and in Mobile Cloud Computing: Similarities and
Differences, Adaptive Computation Offloading from M obile
Devices, Cloud Path Selection for Offloading, Mobil e Data
Offloading Using Opportunistic Communication, Three -Tier
Architecture of Mobile Cloud Computing, Requirement s of
Data Offloading, Performance Analysis of Offloading
TechniquesMulti-Cloud Offloading in Mobile Cloud 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 25
Computing Environment
IV Green Mobile
Cloud Computing Introduction, Green Mobile Computing, Green Mobile
Network, Green Cloud Computing, Green Mobile Cloud
Computing, Green Mobile Devices Using Mobile Cloud
Computing, Green Femtocell Using Mobile Cloud
Computing, Green Seamless Service Provisioning with
Mobile Cloud Computing, Green Location Sensing with in
Mobile Cloud Computing Environment 8
V Resource
Allocation and
Business Aspects of
Mobile Cloud
Computing Significance of Resource Allocation in Mobile Cloud
Computing, Resource-Allocation Strategies in Mobile Cloud
Computing, Research Challenges in Resource Allocati on in
Mobile Cloud Computing.
Cloud Business Models, Business Model of Mobile
Computing Environment, Cooperation among Service
Providers, Weblet-Based Mobile Cloud Computing Mode l,
Mobile Cloud Service Insurance Brokerage, Business
Aspects of Social Mobile Cloud Computing 6
VI Application of
Mobile Cloud
Computing and
Future Research
Scope of Mobile
Cloud Computing Introduction, Cloud Mobile Media Application, Biome tric
Application, Vehicle Monitoring, Mobile Learning,
Application in Social Cloud, Context-Aware Navigati on
System.
Efficient Bandwidth Allocation, Use of Cloudlet in Mobile
Cloud Computing, Cross-Cloud communication, Elastic
Application Model, Resource Management 8

Text Books:
1. Mobile Cloud Computing: Architectures, Algorithm s and Applications, by Debashis De , CRC press
2. Mobile Clouds: Exploiting Distributed resources in wireless mobile and social networks,by Frank
Fitzek, Marcos D. Katz Wiley
3. Mobile Cloud computing: Principles and paradigms by Khanna, Sarishma
References:
1. Architecting the cloud by Kavis Wiley publicatio n
2. Advances in Mobile cloud computing systems by F. Richard Yu. , Victor Leung, CRC press
3. Mobile computing with Cloud byIshwaryaChandrase karan Springer
4. Mobile cloud computing: An Introduction by Jyoti Grover and Gaurav KLheterpal , IGI GLobal

List of Experiments: based on Laboratory Practical’s/ Case studies
1. Offloading the applications from mobile to cloud
2. Traffic analyses and measurements
3. Application in Social Cloud

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Mumbai University Revised 2016 syllabus of ME - IT Page 26
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 27

Subject Code Subject Name Credits
ME-ITDLOC-I1044
IT Strategy
04
Course Objectives:
1. To appraise the operational, competitive and strategic value of information technology, and how
its management and governance contributes to the re alization of that value
2. To introduce key concepts to develop a broad and cr itical understanding of IT strategy
development, implementation and value issues (such as IT and business alignment, IT capability,
strategic relevance of emerging IT, change manageme nt) and provide a conceptually and
theoretically sound explanation about these issues.
3. To introduce methods for evaluating emerging techno logies and forecasting the rate of
technological advance.
4. To focus on procedures for quantifying various type s of risk in IT investments, identifying
tangible and intangible costs and benefits.
Course Outcomes: Learner will be able to:
1. To develop variety of ways were IT can enable and c reate business opportunities.
2. Design and develop the business strategy map and th e IT strategy with end-to-end strategic
business-IT alignment enabling management, coordina tion and monitoring the firm’s strategy to
ensure desired business outcomes.
3. Use data driven approaches to evaluate extant and p redicting future directions and likely
developments in technologies, identify solutions ba sed on industry and technology trends that
improve IT and business alignment, and business per formance.
4. Analyze and evaluate the IT capabilities, develop w ays to mitigate risky IT initiatives
Prerequisite: Fundamental of Computer Technology.

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Basic of IT infrastructure and Intern et Technology. 3
I Business Models,
Competitive
Strategy and
Organization
Mission How businesses are modeled, and how they compete. T he
mission of businesses and other organizations, and the
relationship between an organization's mission and its
strategy. Competitive Domains, Competitive Conseque nces
of Technological Change – Creation of New Products,
Changes in the Value Chain, Changes in the Value
Constellation, Competitive Rivalry. Technological
Characteristics of Competitive Domains – Technologi cal
Opportunity, Resource Requirements, Collateral Asse ts,
Institutional Milieu, Speed. Dynamics of Change in the
Competitive Domain – Technology Emergence Phase,
Incremental Change Phase. Framework for Analysis of
Technology Emergence, Influence of Environmental tr ends
on competition. Technology as critical to Business Outcomes
– Technology Strategy and Technology Leadership 9
II Technology
Intelligence Signals of New Technology, What is Technology
Intelligence, Importance of Technology Intelligence , Levels
of Technology Intelligence, External versus Interna l
Technology Intelligence. Mapping the Technology 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 28
Environment – Steps in Mapping, Mapping the Macro l evel
and Industry Level Environment. Mechanisms for Data
Collection – Challenges, Organizational Arrangement s and
Key Principles for Data Collection
III Business Strategy
and Technology
Strategy Business Strategy , Strategic Analysis and Decision Making
using Product Evaluation Matrix, Market-Growth-Mark et-
Share Analysis Matrix, X-Y Coordinating Method, M-b y-N
Matrix, SWOT Matrix, Formulation of Technology Stra tegy,
Core Competencies, Exploitation of Core Competencie s,
Integration, Linking Technology & Business Strategi es,
Creating the Product-Technology-Business Connection .
Technology’s Interface with – Market, Customers and
Suppliers. Customer Supplier and Product-User relat ionships. 8
IV IT and the Digital
Organization The functionality of the digital organization, and the role that
IT plays in supporting it. Competitive and operatio nal
perspectives on IT, including analysis of both bene fits and
risk. 4
V Alignment of IT
with Business
strategy

IT and Michael Porter’s Competitive Forces Framewor k
IT and Value Chain Framework
IT and Business Process Reengineering; Virtual
Organizations
IT and Competitive Advantage 8
VI Enterprise
architecture &
strategic planning
IT Strategy Initiation, IT management best practice s Control
Objectives for Information and related Technology ( COBIT)
framework , IT Strategy Planning, Outsourcing, Off shoring
& IT Subsidy, Critical success factors of IT strate gy 8
Text Books:
1. IT strategy issues and practices, James D. McKeen and Heather A. Smith, Pearson
2. IT strategy and man agent, S.S. Dubey, PHI
3. Management of Technology – The Key to Competitiven ess and Wealth Technology & Business
Strategy – An Introduction, Edited by Prashanta Kum ar Banerjea, ICFAI books
References:
1. Strategic Management of Technology & Innovation, R obert A Burgelman, Modesto A Maidique,
Steven C Wheelwright, MGH International Edition.
2. Managing Technology and Innovation for Competitive Advantage, V K Narayanan, Pearson
Education, and 2009 Edition.
3. Technology Management – Text and International Cas es, Norma Harrison and Danny Samson, MGH
List of Experiments: based on Laboratory Practical’s/ Case studies
1. Prahalad, C. K., & Krishnan, M. S. (2002). The dyn amic synchronization of strategy and information
technology. MIT Sloan management review , 43 (4), 24. (Develop a set of questions based on this article
for teaching)

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Mumbai University Revised 2016 syllabus of ME - IT Page 29
2. IT-LED BUSINESS TRANSFORMATION AT RELIANCE ENERGY Deepa Mani; Geetika Shah;
Revati Nehru available from Harvard Business Publi shing
3. ENABLING THE STRATEGY-FOCUSED IT ORGANIZATION Robe rt S. Gold available from
Harvard Business Publishing

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 30

Subject Code Subject Name Credits
ME-ITDLOC-I1045
Knowledge Management
04
Course Objectives:
1 Establish a foundation of key terms and concepts, h istorical events and contributions, organizational
benefits, and guiding principles on which to build greater understanding of knowledge management
2 Appreciate the role and use of knowledge for indiv iduals, as well as organizations and institutions.
3 Increase information and understanding about knowl edge transfer using low- and high technology
strategies
4 Explore the future of knowledge management and its influence on our jobs, communities, and society
Course Outcomes: After completion of the course the learner will be able to
1) Discuss KM, learning organizations, intellectual ca pital and related terminologies in clear terms
and understand the role of knowledge management in organizations.
2) Demonstrate an understanding of the history, concep ts, and the antecedents of management of
knowledge and describe several successful knowledge management systems
3) Evaluate the impact of technology including telecom munications, networks, and Internet/intranet
role in managing knowledge.
4) Discuss new jobs, roles and responsibilities result ing from the New or Knowledge Economy
Ponder KM’s current and future impact on individual s, organizations and society at large
Prerequisite: An introductory course in IT/ IS

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Meaning of data, information, knowled ge and expertise
Meaning of epistemology, Types of Knowledge -Subjec tive
& Objective views of knowledge, procedural Vs. Decl arative,
tacit Vs. explicit, general Vs. specific. 3
I Introduction to
Knowledge
Management What is Knowledge? Types of expertise – association al,
motor skill, ¬ theoretical Characteristics of knowledge –
explicitness, codifiability, teachability, specific ity Reservoirs
of knowledge, Meaning of Knowledge Management, Forc es
Driving Organizational issues in KM, KM Systems & their
role Relevance of KM in today’s dynamic & complex
environment Future of Knowledge Management 5
II Knowledge
management system
life cycle Challenges in Building KM Systems – Conventional ve rsus
KM System Life Cycle (KMSLS)
– Knowledge Creation and Knowledge Architecture –
Nonaka’s Model of Knowledge Creation and Transforma tion.
Knowledge Architecture. 8
III KM Solutions for
capture, sharing &
applications KM Processes, KM Systems, Mechanisms & Technologies
Knowledge Capturing Techniques: Brain Storming –
Protocol Analysis – Consensus Decision Making – Rep ertory 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 31
Grid- Concept Mapping –Blackboarding, Nominal Group
Technique, Delphi method,
IV Knowledge
codification
Modes of Knowledge Conversion – Codification Tools and
Procedures – Knowledge Developer’s Skill Sets – Sys tem
Testing and Deployment – Knowledge Testing –Approac hes
to Logical Testing, User Acceptance Testing – KM Sy stem
Deployment
Issues – User Training – Post implementation.
8
V Knowledge transfer
and sharing Transfer Methods – Role of the Internet – Knowledge
Transfer in e-world – KM System
Tools – Neural Network – Association Rules – Classi fication
Trees – Data Mining and
Business Intelligence – Decision Making Architectur e – Data
Management – Knowledge
Management Protocols – Managing Knowledge Workers. 8
VI KM Impact Dimensions of KM Impact – People, Processes, Produc ts &
Organizational Performance Factors influencing imp act –
universalistic & contingency views Assessment of K M
Impact – Qualitative & quantitative measures Ident ification
of appropriate KM solutions, Ethical Legal and Mana gerial
Issues 8
Text Books:
1. Irma Becerra-Fernandez, Avelino Gonzalez, Rajiv Sa bherwal (2004). Knowledge Management
Challenges, Solutions, and Technologies . Prentice Hall. ISBN: 0-13-109931-0.
2. Elias M. Awad, Hassan M. Ghaziri (2004). Knowledge Management. Prentice Hall. ISBN: 0-13-
034820-1
3. Donald Hislop, Knowledge Management in Organizatio ns, Oxford 2nd Edition. Ian Watson (2002).
4. Shelda Debowski, Knowledge Management, Wiley Ind ia Edition.
References:
1. Madanmohan Rao (2004). Knowledge Management Tools and Techniques: Practitioners and Experts
Evaluate KM Solutions. Butterworth-Heinemann. ISBN: 0750678186.
2. Stuart Barnes (Ed.) (2002). Knowledge Management S ystems Theory and Practice. Thomson
Learning.
3. Kimiz Dalkir, Knowledge Management in Theory and P ractice, Elsevier, Butterworth Hinemann.
4. Applying Knowledge Management: Techniques for Bu ilding Corporate Memories. Morgan
Kaufmann. ISBN: 1558607609.
List of Experiments : based on Laboratory Practical’s/ Case studies
1. Daimler Chrysler Knowledge Management strategy, Mi chael G Rukstad and Peter Coughlan , Harvard
Publishing
2. Andreu, R., Grau, A., Lara, E., & Sieber, S. (2003) . Knowledge Management at Siemens Spain,
PRISM case# 9.5. 3, University of Navarra, IESE, Sp ain. Distributed by The European Case Clearing
house, England and USA .
3. 5 Big Companies That Got Knowledge Management Ri ght – John Mc Cormick

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Mumbai University Revised 2016 syllabus of ME - IT Page 32




Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 33
Course Code Course Name Credits
ME-
ITILOCI1051 Product Life Cycle Management 03

Objectives:
1. To familiarize the students with the need, benefits and components of PLM
2. To acquaint students with Product Data Management & PLM strategies
3. To give insights into new product development progr am and guidelines for designing and
developing a product
4. To familiarize the students with Virtual Product De velopment
Outcomes: Learner will be able to…
1. Gain knowledge about phases of PLM, PLM strategies and methodology for PLM feasibility
study and PDM implementation.
2. Illustrate various approaches and techniques for de signing 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 devel opment tools for components, machining
and manufacturing plant

Module Detailed Contents Hrs
01 Introduction to Product Lifecycle Manage ment (PLM): Product Lifecycle
Management (PLM), Need for PLM, Product Lifecycle Phases, Opportunities of
Globalization, Pre-PLM Environment, PLM Paradigm, I mportance & 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 ident ification, selection and
implementation, Developing PLM Vision and PLM Strat egy , Change management for
PLM 10
02 ProductDesign: Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product Design, T ypologies of Design Process
Models, Reference Model, Product Design in the Cont ext of the Product Development
Process, Relation with the Development Process Plan ning 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 De velopment (NPD) and
Strategies, Product Configuration and Variant Manag ement, 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 implement ing a PDM system, financial
justification of PDM, barriers to PDM implementatio n 05
04 Virtual Product Development Tools: For components, machines, and manufacturing
plants, 3D CAD systems and realistic rendering tech niques, Digital mock-up, Model
building, Model analysis, Modeling and simulations in Product Design, Examples/Case
studies 05
05 Integration of Environmental Aspects in Product Des ign: Sustainable Development,
Design for Environment,Need for Life Cycle Environm ental Strategies, Useful Life
Extension Strategies, End-of-Life Strategies, Intro duction of Environmental Strategies
into the Design Process, Life Cycle Environmental S trategies and Considerations for 05

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Mumbai University Revised 2016 syllabus of ME - IT Page 34
Product Design
06 Lif e Cycle Assessment and Life Cycle Cost Analysis: Properties, and Framework of
Life Cycle Assessment, Phases of LCA in ISO Standar ds, 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

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, “Pr oduct Design for the environment-A life
cycle approach”, Taylor & Francis 2006, ISBN: 08493 27229
3. SaaksvuoriAntti, ImmonenAnselmie, “Product Life Cyc le Management”, Springer, Dreamtech,
ISBN: 3540257314
4. Michael Grieve, “Product Lifecycle Management: Driv ing the next generation of lean thinking”,
Tata McGraw Hill, 2006, ISBN: 0070636265

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper.M inimum 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 35

Course Code Course Name Credits
ME-
ITILOCI1052 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 Maintainabilit y, 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 dif ferent reliability parameters
3. Estimate the system reliability of simple and compl ex systems
4. Carry out a Failure Mode Effect and Criticality Ana lysis

Module Detailed Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Con ditional
Probability, Baye’s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between th em and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation, Standar d
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 T ime 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 conf iguration, k out
of n structure, Complex systems. 05
04 Rel iability Improvement: Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
System Reliability Analysis – Enumeration method, C ut-set method, Success
Path method, Decomposition method. 08
05 Maintainability and Availability: System downtime, Design for Maintainability:
Maintenance requirements, Design methods: Fault Iso lation and self-diagnostics, Parts
standardization and Interchangeability, Modularizat ion 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. Faul t tree construction, basic symbols,
development of functional reliability block diagram , Fau1t tree analysis and Event tree
Analysis 05
REFERENCES:
1. L.S. Srinath, “Reliability Engineering”, Affiliated East-Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, “Reliability and Maintainabilit y 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 W iley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, “Reliability in Enginee ring Design”, John Wiley & Sons.
6. Murray R. Spiegel, “Probability and Statistics”, Ta ta McGraw-Hill Publishing Co. Ltd.

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Mumbai University Revised 2016 syllabus of ME - IT Page 36


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 37

Course Code Course Name Credits
ME-
ITILOCI1053 Management Information System 03

Objectives:
1. The course is blend of Management and Technical fie ld.
2. Discuss the roles played by information technology in today’s business and define various
technology architectures on which information syste ms are built
3. Define and analyze typical functional information s ystems and identify how they meet the needs
of the firm to deliver efficiency and competitive a dvantage
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 i ts current trends
4. Understand the principal tools and technologies fo r accessing information from databases to
improve business performance and decision making
5. Identify the types of systems used for enterprise-w ide 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 S ociety. Organizational Strategy,
Competitive Advantages and IS. 4
02 Data and Knowledge Management: Database Approach, B ig Data, Data warehouse and
Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision M aking, BI for Data analysis and
Presenting Results 7
03 Ethical issues and Privacy: Information Security. T hreat to IS, and Security Controls 7
04 Social Computing (SC): Web 2.0 and 3.0, SC in busin ess-shopping, Marketing,
Operational and Analytic CRM, E-business and E-com merce – B2B B2C. Mobile
commerce. 7
05 Computer Networks Wired and Wireless technology, Pe rvasive computing, Cloud
computing model. 6
06 Information System within Organization: Transaction Processing Systems, Functional
Area Information System, ERP and ERP support of Bus iness Process.
Acquiring Information Systems and Applications: Var ious System development life
cycle models. 8

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

Page 39

Mumbai University Revised 2016 syllabus of ME - IT Page 38


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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 40

Mumbai University Revised 2016 syllabus of ME - IT Page 39

Course Code Course Name Credits
ME-
ITILOCI1054 Design of Experiments 03

Objectives:
1. To understand the issues and principles of Design o f Experiments (DOE)
2. To list the guidelines for designing experiments
3. To become familiar with methodologies that can be u sed 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 appropriate
action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experim ents

Module Detailed Contents Hrs
01 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design
1.3 Guidelines for Designing Experiments
1.4 Response Surface Methodology 06
02 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regressi on Models
2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression
2.5 Prediction of new response observation
2.6 Regression model diagnostics
2.7 Testing for lack of fit 08
03 Two-Level Factorial Designs
3.1 The 2 2 Design
3.2 The 2 3 Design
3.3 The General2 k Design
3.4 A Single Replicate of the 2 k Design
3.5 The Addition of Center Points to the 2 k Design,
3.6 Blocking in the 2 k Factorial Design
3.7 Split -Plot Designs 07
04 Two-Level Fractional Factorial Designs
4.1 The One-Half Fraction of the 2 k Design
4.2 The One-Quarter Fraction of the 2 k Design
4.3 The General 2 k-p Fractional Factorial Design
4.4 Resolution III Designs
4.5 Resolution IV and V Designs
4.6 Fractional Factorial Split-Plot Designs 07
05 Response Surface Methods and Designs
5.1 Introduction to Response Surface Methodology
5.2 The Method of Steepest Ascent
5.3 Analysis of a Second-Order Response Surface 07

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Mumbai University Revised 2016 syllabus of ME - IT Page 40
5.4 Experimental Designs for Fitting Response Surfa ces
06 Taguchi Approach
6.1 Crossed Array Designs and Signal-to-Noise Ratio s
6.2 Analysis Methods
6.3 Robust design examples 04


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

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 41

Course Code Course Name Credits
ME-
ITILOCI1055 Operations Research 03

Objectives:
1. Formulate a real-world problem as a mathematical pr ogramming model.
2. Understand the mathematical tools that are needed t o solve optimization problems.
3. Use mathematical software to solve the proposed mod els.
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 direc tion and magnitude of change of a model’s
optimal solution as the data change.
3. Solve specialized linear programming problems like the transportation and assignment problems,
solve network models like the shortest path, minimu m 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, Require ments of
LPP, Mathematical Formulation of LPP, Graphical me thod, Simplex Method Penalty
Cost Method or Big M-method, Two Phase Method, Revised simplex method,
Duality , Primal – Dual construction, Symmetric and Asymmet ric Dual, Weak Duality
Theorem, Complimentary Slackness Theorem, Main Dual ity 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 Pro blem,
Hungarian Method Algorithm, Processing of n Jobs T hrough Two Machines and m
Machines, Graphical Method of Two Jobs m Machines P roblem Routing Problem,
Travelling Salesman Problem
Integer Programming Problem : Introduction, Types of Integer Programming
Problems, Gomory’s cutting plane Algorithm, Branch and Bound Technique.
Introduction to Decomposition algorithms. 14
02 Queuing models : queuing systems and structures, single server and multi-server
models, Poisson input, exponential service, constan t rate service, finite and infinite
population 05
03 Simulation : Introduction, Methodology of Simulation, Basic Co ncepts, Simulation
Procedure, Application of Simulation Monte-Carlo Me thod: Introduction, Monte-Carlo
Simulation, Applications of Simulation, Advantages of Simulation, Limitations of
Simulation 05

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Mumbai University Revised 2016 syllabus of ME - IT Page 42
04 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Management employ ment 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 th e game. Solution of games with
saddle points, dominance principle. Rectangular gam es 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


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


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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 44

Mumbai University Revised 2016 syllabus of ME - IT Page 43

Course Code Course Name Credits
ME-
ITILOCI1056 Cyber Security and Laws 03

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

Module Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime andinformation security, Classifications of cybercrime, Cybercrime and the
Indian ITA 2000, A global Perspective on cybercrime s. 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg, Cyber
stalking, Cyber café and Cybercrimes, Botnets, Atta ck vector, Cloud computing,
Proliferation ofMobile and Wireless Devices, Trends in Mobility, Credit Card Frauds in
Mobile and Wireless Computing Era, Security Challen ges Posed byMobile Devices,
Registry Settings for Mobile Devices, Authenticatio nService Security, Attacks on
Mobile/Cell Phones, Mobile Devices:Security Implica tions for Organizations,
Organizational Measures forHandling Mobile, Devices -Related Security Issues,
OrganizationalSecurity Policies and Measu res in Mobile Computing Era, Laptops 9
03 Tools and Methods Used in Cyberline
Phishing, Password Cracking, Keyloggers and Spyware s, Virus and Worms,
Steganography, DoS and DDoS Attacks, SQL Injection , Buffer Over Flow, Attacks on
Wireless Networks, Phishing, Identity Theft (ID The ft) 6
04 The Concept of Cyberspace
E-Commerce , The Contract Aspects in Cyber Law ,Th e 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 Electroni c Data Interchange Law Relating
to Electronic Banking , The Need for an Indian Cybe r Law 8
05 Indian IT Act.
Cyber Crime and Criminal Justice : Penalties, Adjud ication 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

REFERENCES:
1. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bha rat Law House New Delhi
3. The Information technology Act, 2000; Bare Act- Pro fessional 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

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Mumbai University Revised 2016 syllabus of ME - IT Page 44
Publishing.
7. William Stallings , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : Th e 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/compl iance/compliance-primer-professionals-
33538


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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 46

Mumbai University Revised 2016 syllabus of ME - IT Page 45

Course Code Course Name Credits
ME-
ITILOCI1057 Disaster Management and Mitigation Measures 03

Objectives:
1. To understand physics and various types of disaste r occurring around the world
2. To identify extent and damaging capacity of a disas ter
3. To study and understand the means of losses and met hods to overcome /minimize it.
4. To understand role of individual and various organi zation during and after disaster
5. To understand application of GIS in the field of d isaster management
6. To understand the emergency government response str uctures before, during and after
disaster
Outcomes: Learner will be able to…
1. Get to know natural as well as manmade disaster and their extent and possible effects on the
economy.
2. Plan of national importance structures based upon t he previous history.
3. Get acquainted with government policies, acts and v arious organizational structure
associated with an emergency.
4. Get to know the simple do’s and don’ts in such extr eme events and act accordingly.

Module Detailed Contents Hrs
01 Introduction
1.1 Definition of Disaster, hazard, global and Indian s cenario, general perspective,
importance of study in human life, Direct and indir ect effects of disasters, long
term effects of disasters. Introduction to global w arming and climate change. 03
02 Natural Disaster and Manmade disasters:
2.1 Natural Disaster: Meaning and nature of natural disaster, Flood, Flash flood,
drought, cloud burst, Earthquake, Landslides, Aval anches, Volcanic
eruptions, Mudflow, Cyclone, Storm, Storm Surge, climate change, global
warming, sea level rise, ozone depletion
2.2 Manmade Disasters: Chemical, Industrial, Nuclear an d Fire Hazards. Role of
growing population and subsequent industrialization , urbanization and
changing lifestyle of human beings in frequent occu rrences of manmade
disasters. 09
03 Disaster Management, Policy and Administration
3.1 Disaster management: meaning, concept, importan ce, objective of disaster
management policy, disaster risks in India, Paradig m shift in disaster
management.
3.2 Policy and administration:
Importance and principles of disaster management po licies, command and co-
ordination of in disaster management, rescue operat ions-how to start with and
how to proceed in due course of time, study of flow chart showing the entire
process. 06
04 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation a nd execution of emergency
management programme.Scope and responsibilities of National Institute of
Disaster Management (NIDM) and National disaster ma nagement authority
(NDMA) in India.Methods and measures to avoid disas ters, Management of
casualties, set up of emergency facilities, importa nce of effective
communication amongst different agencies in such si tuations.
4.2 Use of Internet and softwares for effective dis aster management. Applications
of GIS, Remote sensing and GPS in this regard. 06
05 Financing Relief Measures: 09

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Mumbai University Revised 2016 syllabus of ME - IT Page 46
5.1 Ways to raise finance for relief expenditure, r ole of government agencies and
NGO’s in this process, Legal aspects related to fin ance raising as well as overall
management of disasters. Various NGO’s and the work s they have carried out
in the past on the occurrence of various disasters, Ways to approach these
teams.
5.2 International relief aid agencies and their rol e in extreme events.
06 Preventive and Mitigation Measures:
6.1 Pre-disaster, during disaster and post-disaste r measures in some events in general
6.2 Structural mapping: Risk mapping, assessment an d analysis, sea walls and
embankments, Bio shield, shelters, early warning an d communication
6.3 Non Structural Mitigation: Community based disa ster preparedness, risk transfer
and risk financing, capacity development and traini ng, awareness and education,
contingency plans.
6.4 Do’s and don’ts in case of disasters and effect ive implementation of relief aids. 06


REFERENCES:
1. ‘Disaster Management’ by Harsh K.Gupta, Universitie s Press Publications.
2. ‘Disaster Management: An Appraisal of Institutional Mechanisms in India’ by O.S.Dagur,
published by Centre for land warfare studies, New D elhi, 2011.
3. ‘Introduction to International Disaster Management’ by Damon Copolla, Butterworth Heinemann
Elseveir Publications.
4. ‘Disaster Management Handbook’ by Jack Pinkowski, C RC Press Taylor and Francis group.
5. ‘Disaster management & rehabilitation’ by Rajdeep D asgupta, Mittal Publications, New Delhi.
6. ‘Natural Hazards and Disaster Management, Vulnerab ility and Mitigation – 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 a t national and International level and updated
information available on authentic web sites)





Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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 48

Mumbai University Revised 2016 syllabus of ME - IT Page 47


Course Code Course Name Credits
ME-ITILOCI1058 Energy Audit and Management 03

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

Outcomes: Learner will be able to…
1. To identify and describe present state of energy se curity and its importance.
2. To identify and describe the basic principles and m ethodologies adopted in energy audit of an
utility.
3. To describe the energy performance evaluation of so me common electrical installations and
identify the energy saving opportunities.
4. To describe the energy performance evaluation of so me common thermal installations and
identify the energy saving opportunities
5. To analyze the data collected during performance ev aluation and recommend energy saving
measures

Module Detailed Contents Hrs
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sec tor Reforms, Energy Security,
Energy Conservation and its Importance, Energy Cons ervation Act-2001 and its
Features. Basics of Energy and its various forms, M aterial and Energy balance 04
02 Energy Audit Principles:
Definition, Energy audit- need, Types of energy aud it, Energy management (audit)
approach-understanding energy costs, Bench marking, Energy performance, Matching
energy use to requirement, Maximizing system effici encies, Optimizing the input
energy requirements, Fuel and energy substitution. Elements of monitoring& targeting;
Energy audit Instruments; Data and information-anal ysis.
Financial analysis techniques: Simple payback perio d, NPV, Return on investment
(ROI), Internal rate of return (IRR) 08
03 Energy Management and Energy Conservation in Electr ical 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, Ligh ting control: Occupancy sensors,
daylight integration, and use of intelligent contro llers.
Energy conservation opportunities in: water pumps, industrial drives, induction motors,
motor retrofitting, soft starters, variable speed d rives. 10
04 Energy Management and Energy Conservation in Therma l Systems:
Review of different thermal loads; Energy conservat ion opportunities in: Steam
distribution system, Assessment of steam distributi on losses, Steam leakages, Steam
trapping, Condensate and flash steam recovery syste m.
General fuel economy measures in Boilers and furnac es, Waste heat recovery, use of
insulation- types and application. HVAC system: Coe fficient of performance, Capacity,
factors affecting Refrigeration and Air Conditionin g system performance and savings
opportunities. 10

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Mumbai University Revised 2016 syllabus of ME - IT Page 48
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case stu dies based on: Motors and variable
speed drive, pumps, HVAC system calculations; Light ing System: Installed Load
Efficacy Ratio ( ILER) method, Financial Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Bu ilding, LEED rating,
Application of Non-Conventional and Renewable Energ y Sources 03


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



Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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 50

Mumbai University Revised 2016 syllabus of ME - IT Page 49

Semester II


Subject Code Subject Name Credits
ME -ITC201 Security & Risk Management 04
Course Objective:
1. To gain knowledge about information security and Ri sk Management
2. To be familiar with Risk assessment methodology and risk mitigation approaches
3. To gain an overview about security management conce pts and configuration management
4. To understand IT audit and its activities
Course Outcomes:
After completion of the course the gain knowledge o f the following
1. Able to explain the knowledge about information sec urity and Risk Management
2. Able to analysis Risk assessment methodology and ri sk mitigation approaches
3. Able to explain security management concepts and co nfiguration management
4. Able to explain IT audit and its activities
Pre-requisite : Computer Networks.

DETAILED SYLLABUS:

Module Detailed content Hours
Prerequisite Overview of Information Security Management
The big picture, Learning from experience, Weakness es in Information
Security. The extent of crime in cyberspace, Cybers pace crimoid syndrome,
Policies and technologies, A new frame work for Inf ormation security. 3
I Introduction to Information Security
Basic information security model, Need for security , Common
vulnerabilities, threats and attacks, Asset Identif ication and Characterization –
Asset types, Asset characterization, IT Asset life cycle and asset identification,
Threat models, Encryption controls. 5
II Information Security Risk Assessment Basics
What is Risk? Information Security Assessment Overv iew, Risk Assessment
Framework: NIST 800-39, OCTAVE, ISO 27000 series, D ata Collection and
Analysis, Asset scoping, Preparation of Threat and Vulnerability Catalogs,
System Risk Computation, Impact Analysis Scheme, Fi nal Risk Score.
8
III Risk Assessment Methodology
Introduction to Risk assessment, Defense-in Depth A pproach, Qualitative and
Quantitative risk assessment approaches, Problems w ith Quantitative approach,
Risk Control Strategies, System Risk Analysis, Risk Prioritization, System
Specific Risk Treatment. 8
IV Performing the Assessment
Vulnerability scan and Exploitation: Internet Host and network enumeration, IP 10

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network scanning, Assessing Remote Information Serv ices, Assessing Web
Servers, Assessing Web Applications, Assessing Remo te Maintenance Services,
Assessing Database Services, Assessing Windows Netw orking Services,
Assessing Email Services.
Scanning and Analysis tools and their working princ iple.
Final Report Preparation and Post Assessment Activi ties.

V Security Management Concepts and Principles Measuring ROI on
security, security patch management, Purpose of Inf ormation Security
management, and The building blocks of information security.
Overview of SSE CMM, SSE CMM relationship to other initiatives, capability
levels, Security Engineering process overview.
Configuration management: Role of CM in Security of an organization. CM
framework, Three disciplines of CM:Business Process Infrastructure (Chain of
Command, CCB), Operations and Services (Operational Group) ,End Products
(technical group) with respect to security.
8
VI Planning for Security:
Information Security Planning and Governance, Infor mation Security Policy
Standards, EISP, ISSP,
SysSP, Policy management.

Security Audit Process:
Pre-planning audit, Audit Risk Assessment, Performi ng Audit, Internal
Controls, Audit Evidence,
Audit Testing, Audit Finding, Follow-up activiti es.
6


References

1. Manish Agarwal, Alex Campoe and Eric Pierce, “Infor mation Security and IT Risk Management”
Wiley 2016.
2. Principles of Information Security, Michael E Whitm an, Herbert J. Mattod, 4 th Edition, Cengage
Learning.
3. Mark Talabis, “Information Security Risk Assessment Toolkit: Practical Assessments through
Data Collection and Data Analysis”, Kindle Edition. ISBN:978-1-59749-735-0.
4. David L.Cannon, “CISA Certified Information Systems Auditor Study Guide“, SYBEX
Publication. ISBN: 978-0-470-23152-4.
5. Network Security Assessment, Chris McNab, O’reilly
6. Inside Security Assessment, Micheal Gregg, Pearson
7. The Security Risk Assessment Handbook: Douglas LanD oll, Auerbach Publication
8. Micki Krause, Harold F.Tripton, “ Information Security Management Handbook ”, Auerbach
Publications, 2012.
List of Experiments:

1. Working with scanning enumeration tool
2. Understanding practical aspect operating system sec urity, Linux and Windows
3. Working with open source security information manag ement for security audit (OSSIM)

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be

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attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.



Subject Code Subject Name Credits
ME-ITC202 High Performance Computing 04
Course Objectives:
1. To learn concepts of parallel processing as it pert ains to high-performance computing.
2. To design, develop and analyze parallel programs on high performance computing resources using
Parallel programming paradigms.
3. To learn CUDA Programming Language and tools.
4. Performance comparison between CUDA, MPI and OpenM P.

Course Outcomes: Learner will be able to:
1. Determine the complexity of a given parallel algori thm
2. Identify design Issues and limitations in Parallel Computing.
3. Design algorithms suited for Multicore processor an d GPU systems using CUDA, MPI,
OpenMP.
4. Analyze and optimize performance parameters.

Pre-requisite: Mathematics, Data structures.


DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Pre-requisite High performance computing through a number of appl ications
in science and engineering, including problems in l inear algebra,
partial differential equations (e.g. computational fluid
dynamics), molecular dynamics, and agent based mode lling.
Study of various numerical methods used in engineer ing practice
and how these applied to solving computational prob lems and
hence programmed for execution on a supercomputer. 3
I Parallel
Processing
Approaches
Introduction to Parallel Processing: Levels of Parallelism
(instruction, transaction, task, thread, memory, an d function),
Models (SIMD, MIMD, SIMT, SPMD, Data Flow Models,
Demand-driven Computation etc.), Loosely coupled an d Tightly
coupled
HPC Platforms: CUDA, Message-passing Interface (MPI),
Shared-memory thread-based OpenMP programs, hybrid
(MPI/OpenMP) programs, Grid Computing, Cloud Comput ing ,
Multi-Core Processors, accelerators, GPGPUs 6
II Design Issues
and limitations
in Parallel
Computing
Parallel Architecture, (Interconnection network, pr ocessor
Array, Multiprocessor) Designing Parallel algorith ms
(Partitioning, Communication, Mapping, Matrix input /output )
Issues: Synchronization, Scheduling, Job Allocation, Job
Partitioning, Dependency Analysis, Mapping Parallel
Algorithms onto Parallel Architectures
Limitations: Bandwidth Limitations, Latency Limitations, 8

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Latency Hiding/Tolerating Techniques and their limi tations
III Programming
using CUDA

CUDA: a) Processor Architecture, Interconnect,
Communication, Memory Organization, and Programming
Models in high performance computing architectures:
(Examples: IBM CELL BE, Nvidia Tesla GPU, Intel Lar rabee
Microarchitecture and Intel Nehalem microarchitectu re)
b) Memory hierarchy and transaction specific memory design
c) Thread Organization, The Implementation of the C ilk-5
Multithreaded Language, MapReduce: simplified data
processing on large clusters, StreamIt: A Language for
Streaming Applications, PetaBricks: A Language and Compiler
for Algorithmic Choice, Pregel: a system for large- scale graph
processing, PowerGraph: Distributed Graph-Parallel
Computation on Natural Graphs, GraphChi: Large-Scal e Graph
Computation on Just a PC, The Tao of Parallelism in Algorithms 12
IV Programming
using MPI and
Open MP

MPI: Principles, building blocks, MPI, Overlapping
communication and computation, collective communica tion
operations, Composite synchronization constructs;
OpenMP: Threading, Building blocks, Memory Allocat ors,
Parallel programming model, combining MPI and OpenM P,
Shared memory programing. 8
V Performance
Measures
Performance measures: Speedup, efficiency and scala bility.
Abstract performance metrics (work, critical paths) , Amdahl`s
Law, Gustavson’s law, weak vs. strong scaling,
performance bottlenecks, data races and determinism , data race
avoidance (immutability, futures, accumulators, dat aflow),
deadlock avoidance, abstract vs. real performance ( granularity,
scalability) 07
VI HPC enabled
Advanced
Technologies (a) Petascale Computing
(b) Optics in Parallel Computing
(c) Quantum Computers
(d) Recent developments in Nanotechnology and its i mpact on
HPC 04

Text Books:
1. AnanthGrama, Anshul Gupta, George Karypis, Vipin Ku mar , “Introduction to Parallel
Computing”, Pearson Education, Second Edition, 2007 .

2. Kai Hwang, "Advanced Computer Architecture: Paralle lism, Scalability, Programmability",
McGraw Hill, 1993.

3. Edward Kandrot and Jason Sanders, CUDA By Example – An Introduction to General Purpose
GPU Programming, Addison-Wesley Professional ©, 201 0.

4. Benedict R Gaster, Lee Howes, David R KaeliPerhaad Mistry Dana Schaa, “Heterogeneous
Computing with OpenCL”, McGraw-Hill, New York, 2011 .

5. CUDA C PROGRAMMING GUIDE, September 2015.

Reference Books:
1. Georg Hager, Gerhard Wellein, “Introduction to High Performance Computing for Scientists and
Engineers", Chapman & Hall / CRC Computational Scie nce series, 2011.

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2. Michael J. Quinn, “Parallel Programming in C with M PI and OpenMP”, McGraw-Hill
International Editions, Computer Science Series, 20 04.

3. Kai Hwang, “Scalable Parallel Computing: technology , architecture, programming”, McGraw
Hill 1998

4. Laurence T. Yang, MinyiGuo, “High- Performance Comp uting: Paradigm and Infrastructure ”
Wiley

List of Experiments:
1. OpenMP implementation
workload partitioning based on 1, 2, 4 and 8 core c onfigurations
2. MPI implementation
workload partitioning based on 1, 2, 4, 8, 16, 32 n ode configuratations.
3. Performance comparison between CUDA, MPI and OpenMP implementations
i. Execution time
ii. Programming effort
1. Quantify the speedup you are getting compared to a single processor (single thread)
implementation with respect to the amount of progra mming and design effort you
invested
iii. Limitations of your implementation from both hardwa re and software perspectives
1. how does the target architecture impact your parall eization strategy
2. how does the programming environment effect the spe edup you are achieving
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME -ITC203 Advanced Web Technology 04
Course Objectives:
1 Get familiar with Web Technologies.
2 Gaining a good grasp over Web 2.0 technologies in order to develop responsive web applications
3 Exploring the advantages of emerging web technolog ies and what environment they are being used in
4 Exploring Web 3.0 and Semantic Web standards

Course Outcomes: Student will be able:
1) To design a responsive web site using HTML5 and CSS .
2) To design RIA using proper choice of Framework
3) To recognize and evaluate website organizational st ructure and design elements
4) Explain emerging web 3.0 standards
Prerequisite: web programming, C language

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Introduction to web technologies : Web system architecture-
1,2,3 and n tier architecture, URL, domain name sys tem,
overview of HTTP and FTP, Cross browser compatibili ty
issues, W3C Validators
Web Site Design Issues : Planning a Web Site –Objective
and Goals, Audience, Organizing contents.
Publishing of Web Site . Function of Web Server
Basic HTML : Formatting and fonts, Anchors, images, lists,
tables, frames and forms. XML basics. 03
I Web Technology
Basics & HTML 5.0 HTML 5: Fundamental Syntax and Semantics, Progressive
Markup and Techniques, Forms, Native Audio and Vide o,
Micro data and Custom data, Accessibility, Geo-loca tion,
Canvas.
06
II Responsive web
design with
HTML5 and CSS3 Introduction to CSS : Evolution of CSS, Syntax of CSS,
Exploring CSS Selectors, Inserting CSS in an HTML
Document, Defining Inheritance in CSS 02
CSS3 and Responsive Web Design.
CSS3: Selectors, Typography and color Modes
Stunning Aesthetics with CSS3, CSS3 Transitions,
Transformations and Animations, Conquer Forms HTML5
and CSS3 06
III Web Services Web Services: Web services, Evolution and differences with
Distributed computing, XML, WSDL, SOAP, UDDI,
Transactions, Business Process Execution Language f or Web 07

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Services, WS-Security and the Web services security
specifications, WS-Reliable Messaging, WS-Policy, W S-
Attachments.
REST-ful web services, Resource Oriented Architectu re,
Comparison of REST, SOA, SOAP.
IV Rich Internet
Application (RIA) Intro duction 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 Accessibilit y in
AJAX Applications: Secure AJAX Applications, Accessible
Rich Internet Applications,
Developing RIA using AJAX techniques: CSS, HTML,
DOM, XMLHTTPRequest, JavaScript, PHP, AJAX as REST
Client
Open Source Frameworks and CMS for RIA: Django,
Drupal, Joomla introduction and comparison. 08
V Web Analytics 2.0
Introduction to Web Analytics 2.0 1: State of the A nalytics
Union, State of the Industry, Rethinking Web Analyt ics:
Meet Web Analytics 2.0, Optimal Strategy for Choosi ng
Your Web Analytics Soul Mate. The Awesome World of
Clickstream Analysis: Metrics. The Key to Glory: Me asuring
Success. Failing Faster: Unleashing the Power of Te sting and
Experimentation.
08
VI Web 3.0 and
Semantic Web Web 3.0 and Semantic Web : Challenges, Components,
Semantic Web Stack: RDF, RDF Schema (RDFS), Sim ple
Knowledge Organization System (SKOS), SPARQL as RD F
query language, N-Triples as a format for storing a nd
transmitting data, Turtle (Terse RDF Triple Languag e), Web
Ontology Language (OWL) a family of knowledge
representation languages, Rule Interchange Format ( RIF), a
framework of web rule language dialects supporting rule
interchange on the Web. 08

Text Books:

1. HTML 5 Black Book: Kogent Learning solutions
2. Tim O’Reilly, What is Web 2.0? : Design Patterns and Business Models for the Next Generation of
Software, O’REILLY
3. John Davies, Rudi Studer, and Paul Warren John , “Semantic Web Technologies: Trends and
Research in Ontology-based Systems”, Wiley & Son'
4. Web Analytics 2.0: The Art of Online Accountabil ity and Science of Customer Centricity, Web
Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
Avinash Kaushik, ISBN: 978-0-470-52939-3, wiley pub lication.


References:
1. Grigoris Antoniou and Frank van Harmelen,. A Sem antic Web Primer: MIT Press,2004, ISBN 0-262-
01210-3
2. Deane Brker, Web Content Management: Systems, Fe atures, and Best Practices, O’Reilly &
Associates incorporated, 2016
3. John Domingue, Dieter Fensel, Handbook of Semant ic Web Technologies, Springer Reference
4. Liyang Yu, a Developer’s Guide to the Semantic W eb, Second Edition, Springer
5. An introduction to RDF and Jena RDF API, www.jena.apache.org/tutorials/rdf_api.html .

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List of Experiments: based on Laboratory Practical’s/ Case studies
1. Design a website with features like login for us ers and several gadgets, it should atleast have a t witter
box, a video, a calendar with events, event announc ements and information with a registration form.
2. A mini project based on REST API and web analyti cs 2.0
3. Apache Jena based RDF and SPRQL based Tutorials

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME-ITDLOC-
II2041
E-Business and Social Network Analysis
04
Course Objectives:
1) To understand e-Business as a significant busine ss segment for the future.
2) To get an overview of technological and strategi c aspects of e-Business.
3) To know basics of Social Network Analysis.
4) To visualize, summarize and analyze the effect o f Social Networks on e-Business.
Course Outcomes: At the end of the course the stude nts will be able to
1) Develop a complete e-business strategy.
2) Develop and implement complete e-commerce site.
3) Visualize/Analyze real world Social Networks.
4) Analyze the impact of Social Networks on e-Business.
Prerequisite : E-Commerce and E-Business

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Defining e-Business, Framework for un derstanding e-
Business. 3
I Introduction to e-
Business Fundamental Models of e-Business, Preparing e-Busin ess
Plan, and Environmental forces affecting planning &
practice, Trends in e-Business. 5
II e-Business and e-
Marketing Strategies Strategic planning process, SCM, CRM and ERP, Marke ting
Strategies and Revenue Models. 8
III e-Payment Systems
and Security Concept of Money, Electronic Payment Systems (EPS),
Types of EPS, Smart Card and EPS, Electronic Fund
Transfer, Security issues and measures like digita l
certificate, digital signature, encryption, SSL and SET
protocols. 8
IV Introduction to
Social Network
Analysis Concepts: nodes, edges, adjacency matrix, one and t wo node
networks, node degree, Introduction to social netwo rk
analysis, Network examples, Graph theory basics, St atistical
network properties, Degree Distribution, Clustering
Coefficients, Frequent patterns, Network motifs, Cl iques and
k-cores, Node centralities and ranking on Network n odes and
edges, Network diameter and average path length. 8
V Network
Communities and Network Structure, Network Communities, Graph
partitioning and cut metrics, Information and Influ ence of 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 58
Visualization propagation on networks, Network visu alization and Graph
layouts, Social diffusion.
VI SNA in real world Applications/Case Studies base d on the impact of SNA on e-
Business, Impact of SNA on consumer behavior. 8

Text Books:
1. E-Business: Business, Technology and Society: Kenneth C. Laudon (Author), Carol
Traver (Author)
2. E-Business and E-Commerce management Strategy, Implementation and Practice: Dave Chaffey
3. John Scott, “Social network Analysis” Third edi tion, SAGE Publications

References:
1. E-Commerce : Ninth edition : Gary Schneider, Cengag e
2. Christina Prell, “Social Network Analysis: Histo ry, Theory and Methodology”, SAGE 2011
3. Stephen P Bergatti, Martin G Everett, Jaffery C Johnson, “Analyzing Social Networks”, SAGE
2013.
4. Stanley Wasserman, Katherine Faust, “Social Netw ork Analysis: Methods and Applications”
List of Experiments: based on Laboratory Practical’s/ Case studies
1. Develop a Business Plan – Identifying the busi ness model, Develop strategic plan, Design Screen
Shots, Show few activities (related to CRM, SCM, Ma rketing, security etc.), organizational structure, s/w
& h/w requirements.
2. Create random Networks, Calculate component di stribution, average shortest path and evaluate
impact of structure on ability of information to di ffuse, calculate and interpret node centrality for real
world networks.
3. Read recent research based on these services an d learn how SNA concepts are applied on e-Business.

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME-ITDLOC-
II2042

AI and Machine Learning 04
Course Objectives:
1 To learn the basic concepts and techniques of AI and machine learning
2. To explore the various mechanism of Knowledge an d Reasoning used for building expert
system.
3. To become familiar with supervised and unsupervi sed learning models
4. To design and develop AI and machine learning so lution using modern tools.

Course Outcomes : Students will able to:
1. Explain the fundamentals of AI and machine learn ing.
2. Identify an appropriate AI problem solving metho d and knowledge representation technique.
3. Identify appropriate machine learning models for problem solving.
4. Design and develop the AI applications in real w orld scenario.

Prerequisite : Probability Theory and Statistics, PROLOG, R Prog ramming

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Basics of AI, Need for AI
Basics of ML, Types, need for ML 3
I Introduction to AI Definition, Problem, State spa ce representation. Intelligent
Systems: Categorization of Intelligent System, Comp onents
of AI Program, Foundations of AI, Applications of A I,
Current trends in AI,
Intelligent Agents: Anatomy, structure, Types
6
II Problem solving
Solving problem by Searching: Problem Solving Agent ,
Formulating Problems.
Uninformed Search Methods: Breadth First Search (BF S),
Depth First Search (DFS), Depth Limited Search, Dep th First
Iterative Deepening (DFID), Informed Search Methods :
Greedy best first Search, A* Search, Memory bounded
heuristic Search.
Local Search Algorithms and Optimization Problems: Hill
climbing search Simulated annealing, Local beam sea rch 8
III Knowledge and
Reasoning
Knowledge based Agents, The Wumpus World, and
Propositional logic.
First Order Logic: Syntax and Semantic, Inference i n FOL,
Forward chaining, backward Chaining, Knowledge
Engineering in First-Order Logic, Unification, Reso lution, 8
IV Concepts of
Machine learning Supervised, unsupervised, semi-supervised, Rote lea rning,
Reinforcement learning, Issues, steps and applicati ons,
Designing a learning System. 3

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Case study: hand written digit recognition, stock p rice
prediction
V Learning Models Decision tree learning.
Probabilistic Models: Multivariate Bernoulli Naive Bayes
Classifier, Linear and Logistic Regression.
Deterministic Models: Support Vector Machine.
Hidden Markov Model: Process, Model, Problems of HM M,
Viterbi algorithm, Baum- welch algorithm.
Reinforcement Learning: Model based learning,
Temporal Difference Learning, Generalization, Parti ally
Observable States. 12
VI Artificial Neural
Network Introduction, neural network representation,
Problems for neural network learning, perceptron, m ultilayer
network & Back propagation Algorithm. Deep learning :
Definition, relationship between AI, ML, and Deep L earning,
Trends in Deep Learning.
8
Text Books:
1. Artificial Intelligence and Machine Learning By Vinod Chandra S.S., Anand Hareendran S
2. Stuart J. Russell and Peter Norvig, "Artificial Intelligence A Modern Approach “Second Edition"
Pearson Education
3. Tom M. Mitchell. "Machine Learning" McGraw-Hill, 1997.
4. Ethem Alpaydin "Introduction to machine learning " 2nd ed. The MIT Press, 2010
References:
1. Ivan Bratko "PROLOG Programming for Artificial I ntelligence", Pearson Education,
Third Edition.
2. Elaine Rich and Kevin Knight "Artificial Intelli gence "Third Edition
3. Davis E.Goldberg, "Genetic Algorithms: Search, O ptimization and Machine Learning",
Addison Wesley, N.Y., 1989.
4. Han Kamber, “Data Mining Concepts and Techniques ”, Morgann Kaufmann Publishers.
5. “Machine learning with R” by Brett Lantz
List of Experiments : based on Laboratory Practical’s/ Case studies
1. Logic programming with Prolog
2. Machine Learning with R
3. Training and testing using Artificial Neural Net work
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME-ITDLOC-
II2043
Ethical Hacking and Digital Forensic
04
Course Objectives:
1 Lerner should learn various aspects of network secu rity
2 Lerner should learn different technologies for webs ite security
3 Lerner should learn various aspects of mobile secur ity
4 Lerner should learn various forensic methods for id entification of fraud.

Course Outcomes:
1) Explain Knowledge about various aspects of network security.
2) Design and Develop of secure website.
3) Identify various security aspects with respect to m obile technology.
4) Explain solutions for various case studies with the help of forensic techniques.

Prerequisite: Computer Network fundamentals for communication, St atic and Dynamic website
development, Basics of mobile communications

DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Prerequisite Introduction:
Ethical Hacking terminology, Five stages of hacking , Vulnerability Research,
Legal implication of hacking, Impact of hacking. 3
I Overview of
Computer
Forensics
Technology Introduction to Computer Forensics, Use of Forensic s in Law Enforcement,
Employment Proceedings, Computer Forensics services . Types of Computer,
Forensics Technology- Military, law, Spyware and Ad ware, Biometrics security
systems. 5
II Foot
Printing &
Social
Engineering Information gathering Methodologies, Competitive In telligence, DNS
Enumerations, Social Engineering attacks.
Types of Computer Forensics systems:
Internet security, IDS, Firewall, Public key, Net p rivacy systems, Vendor and
computer Forensics services. 6
III Incident and
Incident
Response
and Storage Introduction to Incident, Incident Response Methodo logy, Steps, Activities in
Initial Response Phase after detection of an incide nt.
Initial Response and Forensic Duplication:
Initial Response & Volatile Data Collection from Wi ndows system, Initial
Response & Volatile Data Collection from Unix syste m,
Forensic Duplication: Forensic duplication as Admissible Evidence, Forens ic
Duplication Tool Requirements, Creating a Forensic Duplicate/Qualified
Forensic Duplicate of a Hard Drive.
Storage and Evidence Handling:
File Systems: FAT, NTFS, Forensic Analysis of File systems, Storage
Fundamentals: Storage Layer, Hard Drives. Evidence Handling: Types of
Evidence, Challenges in evidence handling, Overview of evidence handling 10

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procedure.
Digital Forensics: Introduction – Evidential potential of digital dev ices: closed
vs. open systems, evaluating digital evidence poten tial, Device handling:
seizure issues, device identification, networked de vices and contamination.
IV Network
Forensics Collecting Network Based Evidence, Investigating Ro uters, Network protocols,
Email Tracing, Internet Fraud. 8
V Mobile
Phone
Forensics Crime and mobile phones, evidences, forensic proced ures, files present in SIM
card, device data, external memory dump, evidences in memory card, operators
systems. Android Forensics: Procedures for handling an android device,
imaging android USB mass storage devices, logical a nd physical techniques. 8
VI Hacking Scanning & Enumeration:
Port Scanning, Network Scanning, Vulnerability Scan ning, NMAP Scanning
tool, OS Fingerprinting, Enumeration.
System Hacking:
Password cracking techniques, Key loggers, Escalati ng privileges, Hiding Files,
Steganography Technologies, Countermeasures.
Sniffers & SQL Injection:
Active and passive sniffing, ARP Poisoning, Session Hijacking, DNS Spoofing,
Conduct SQL Injection attack, Countermeasures.
Systems Investigation and Ethical Issues:
Data Analysis Techniques, Investigating Live system s (Windows & Unix),
Investigating Hacker Tools, Ethical Issues, Cybercr ime.
Reconnaissance, Scanning Host discovery, Network de vices discovery, service
discovery, Backdoors and Trojan horses, Buffer Over flows, Covering Tracks:
Networks and systems, Denial of service Attacks, Ex ploiting system using
Netcat, IP address Spoofing, Network Sniffing, Pass word Attacks, rootkits,
Session Hijacking and Defenses. 8

Text Books:
1. Kevin Mandia, chirs Proise, “Incident Response a nd Computer Forensic”
2. Gregory Kipper, “” Wireless Crime and Forensic I nvestigation”, Auerbach publication, 2007
3.Peter Stepheson,”Investigating Computer Crime: A handbook for corporate investigation”, Sept 1999

References:
1.Skoudis E. Perlman R. counter hack: A step by ste p Guide to Computer Attacks and effective Defense,
Prentice Hall Professional technical Reference, 200 1.
2. John R Vacca “Computer Forensic ” Second Edition
3.Hacker Techniques, Exploits and incident Handlin g http://www.sans.org

List of Experiments : based on Laboratory Practical’s/ Case studies
1. Develop secure web site.
2. Sniffers and SQL Injection.

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3. Digital Forensics.


Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Subject Code Subject Name Credits
ME-ITDLOC-
II2044
Internet of Things
04
Course Objectives: The course objectives are to:
• Provide an overview of concepts, main trends and ch allenges of Internet of Things.
• Develop the ability to use Internet of Things relat ed software and hardware technologies.
• Provide the knowledge of data management business p rocesses and analytics of IoT.
• Develop skills to relate the IoT technologies for p ractical IoT applications such as smart objects.
Course Outcomes: Learner will able to:
• Explain and interpret the Internet of Things concep ts and challenges.
• Experiment with the software and hardware IoT Techn ologies.
• Identify data management and business processes an d analytics of IoT
• Design and develop small IoT applications to create smart objects
Perquisite : Web Programming, Microcontroller


DETAILED SYLLABUS:
Sr.
No. Module Detailed Content Hours
Perquisite Web Programming Concepts, Tools, Framew ork. 3
I Introduction to
Internet of Things Definition of Internet of Things (IoT), IoT Paradig m, IoT
Architecture – State of the Art, IoT Protocols, IoT
Communication Models, IoT in Global Context, Real w orld
scenarios, Different Areas, Examples Trends in the
Adaption of the IoT (Cloud Computing, Big Data Anal ytics,
Concepts of Web of Things, Concept of Cloud of Thin gs
with emphasis on Mobile Cloud Computing, Smart Obje cts). 5
II Open – Source
Prototyping
Platforms for IoT Basic Arduino Programming Extended Arduino Librarie s,
Arduino – Based Internet Communication, Raspberry P I,
Sensors and Actuators and Interfacing. 8
III IoT Protocol &
Technology RFID + NFC, Wireless Networks + WSN, RTLS + GPS,
Agents + Multi – Agent Systems, Composition Models for
the Web of Things and resources on the Web, Discove ry,
Search, IoT Mashups and Others. IoT Protocols - M2M ,
BacNet, ModBus, Bluetooth, Wifi, ZigBee. 8
IV Wireless Sensor History and Context, The Node, C onnecting Nodes,
Networking Nodes, Secured Communication for IoT. 6

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Mumbai University Revised 2016 syllabus of ME - IT Page 65
Networks Networking and the Internet - IP Addressin g, Protocols -
MQTT, CoAP, REST Transferring data.
V Data Analytics for
IoT Introduction, Apache Hadoop, Using Hadoop MapReduce for
Batch Data Analysis, Apache Oozie, Apache Spark, Ap ache
Storm, Using Apache Storm for Real-time Data Analys is,
Structural Health Monitoring Case Study, Tools for IoT:-
Chef, Chef Case Studies, Puppet, Puppet Case Study - Multi-
tier Deployment, NETCONF-YANG Case Studies, IoT Cod e
Generator. 10
VI Application and Use
Cases Concrete Applications and Use – Cases of Web Enable d
Things: Energy Management and Smart Homes, Ambient
Assisted Living, Intelligent Transport, Etc. Cloud of Things
and Big Data. Business Cases and Issues - Agricultu re, Music
Therapy, Smart Home, Smart Grid Network, Wearable,
Healthcare. 8

Text Books:
1 The Internet of Things (MIT Press) by Samuel Gree ngard.
2 The Internet of Things (Connecting objects to the web) by Hakima Chaouchi (Wiley
Publications).
3 Internet of Things ( A Hands-on-Approach) by Arsh deep Bhaga and Vijay Madisetti.
Reference Books:
1 The Internet of Things Key applications and Proto cols, 2 nd Edition, (Wiley Publication) by
Olivier Hersent, David Boswarthick and Omar Elloum i.
2 IoT –From Research and Innovation to Market devel opment (River Publication) by Ovidiu
Vermesan and Peter Friess.
3 Building Internet of Things with Arduino by Chara lampos Doukas.

List of Experiments :
1) Implement A Heterogeneous, Hierarchical Wireless Se nsor Network using Cooja/ MSPSim
Simulator also add routing protocol, broadcasting m essage in WSN.
2) Create a smart city and IoT WSN using CupCARBON U-O NE 2.8.5 simulator and senscript.
3) Building machine to machine (M2M) applications such as remote monitoring/Vehicle Tracking,
fleet management or smart grid using M2MLabs open s ource application framework.

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 66


Subject Code Subject Name Credits
ME-ITDLOC-
II2045
Advanced Software Quality Assurance 04
Course Objectives: Objectives of this course include:
1. Examining various methods and approaches used to im prove the quality of a product or service.
2. Exploring the principles and techniques used to eva luate both functional and non-functional
requirements
3. Distinguish between the various activities of quali ty assurance, quality planning and quality
control.
4. Understand the importance of standards in the quali ty management process and their impact on
the final product.
Course Outcomes: On successful completion of the co urse students will be able to
1. Explain the established concepts, the fundamental t est process, test management principles, test
strategies/approaches, risks and principles to supp ort test objectives.
2. Analyze and prioritize both functional and non-func tional specifications, such as performance
efficiency and usability, design tests using establ ished techniques for functional tests at all test
levels for systems of small to medium complexity
3. Interpret and execute tests according to agreed tes t specifications and analyze and report on the
results of tests independently
4. Implement testing tools for various testing activit ies
Prerequisite: Software engineering.


DETAILED SYLLABUS:

Sr.
No. Module Detailed Content Hours
Prerequisite Software engineering (or) Experience in software
development.
Any one programming language and IDE.
Knowledge of testing tools is advantageous. 3
I Fundamentals of
software Testing
Process: defects,
hypotheses, and tests
Basic Definitions, Software Testing Principles , The Role of
Process in Software Quality, Testing as a Process ,
Overview of the Testing Maturity Model , The Tester ’s Role
in a Software Development Organization
Origins of Defects, Defect Classes, the Defect Repo sitory,
and Test Design. Requirements and Specification De fects.
Design Defects. Coding Defects. Testing Defects,
Developer/Tester Support for Developing a Defect
Repository. 4

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Mumbai University Revised 2016 syllabus of ME - IT Page 67
II Strategies and
methods for test case
design Test Case Design Strategies - Using the Black Box A pproach
to Test Case Design, Random Testing, Equivalence Cl ass
Partitioning, Boundary Value Analysis , Cause-and-E ffect
Graphing, State Transition Testing, Error Guessing, Black
Box Testing and Commercial Off-the-Shelf Components
(COTS).
Using the White Box Approach to Test Design, Test
Adequacy Criteria, Coverage and Control Flow Graphs ,
Covering Code Logic, Paths: Their Role in White Box –Based
Test Design, Data Flow and White Box Test Design, L oop
Testing, Mutation Testing. 11
III Levels of testing Levels of Testing and Softwa re Development Paradigms ,
Unit Test: Functions, Procedures, Classes, and Meth ods as
Units , Unit Test Planning , Designing the Unit Tes ts , The
Class as a Testable Unit, The Test Harness.
Integration Test: Integration Strategies for Proce dures and
Functions, Integration Strategies for Classes, Des igning
Integration Tests, Integration Test Planning ,Syste m Test:
The Different Types, Functional Testing, Performanc e
Testing , Stress Testing, Configuration Testing, S ecurity
Testing, Recovery Testing , Regression Testing , Al pha,
Beta, and Acceptance Tests .Role of Use Cases. 10
IV Reviews as a testing
activity Types of Reviews – Inspections, Walkthroughs, Devel oping
a Review Program, The Need for Review Policies,
Components of Review Plans, Review Goals, Precond itions
and Items to be Reviewed, Review Procedures, Review
Checklists. Reporting Review Results, Review, Rewo rk, and
Follow-Up , Review Metrics , The Self-Check or Per sonal
Review, software Quality Evaluation 4
V Evaluating software
quality Quality Costs, Quality Control, Statistical Testing , Software
Reliability, Measurements for Software Reliability, Applying
Reliability Models, Confidence Levels and Quality C ontrol,
Usability Testing and Quality Control , Assessment Usability
Testing, Validation Usability Testing. Resource
Requirements - Usability Tests and Measurements
DEFECT ANALYSIS AND PREVENTION -Processes and
Defects, Techniques for Defect Analysis Defect Cau sal
Analysis, Making Process Changes, Monitoring Action s and
Process Changes, Benefits of a Defect Prevention Pr ogram,
Defect Prevention and the Three Critical Views 8
VI Test driven
development Overview of testing on agile project . What is TDD? TDD and
traditional testing, Incremental design, continuous
integration, Self-documenting code. TDD and
documentation, Scaling TDD via Agile Model-Driven
Development (AMDD). Overview of agile TDD tools.
Introduction to digital testing 8

Text Books:
1. Ilene Burnstein, “Practical software testing”, Spri nger Professional computing

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Mumbai University Revised 2016 syllabus of ME - IT Page 68
2. Kshirasagar Naik and Priyadarshi Tripathy (Eds), "S oftware Testing and Quality Assurance:
Theory and Practice", John Wiley, 2008

3. Kent Beck “Test Driven Development”, Addison Wesley .

References:
7. Marnie L. Hutcheson, “Software Testing Fundamental s- Methods and Metrics”, Wiley
8. Boriz Beizer, "Software Testing Techniques", 2nd Ed ition, DreamTech, 2009.
9. Aditya P. Mathur, "Foundations of Software Testing" , Pearson, 2008
10. Mauro Pezze and Michal Young, "Software Testing and Analy sis. Process, Principles, and
Techniques", John Wiley, 2008
11. Stephen H. Kan, "Metrics and Models in Software Qua lity Engineering", 2nd Edition, Pearson,
2003

List of Experiments: Use the following tools in laboratories.
CVS: For the software configuration management repo sitory
Bugzilla: For tracking and reporting bugs and chang e requests
CheckStyle: To verify the source code conformance t o the programming language standard
Eclipse: A development environment with a multitude of plug-ins
Logiscope: Product quality measurement
IBM academic program gives many software tools such as the IBM RequisitePro Traceability tool.
DevOps tools: GitHub, Jenkins and Docker.
Laboratory Practical’s/ Case studies –
1. Develop a small application or program additiona l features into existing software using CVS
tool/GitHub
2. Test the software produced using open-source sof tware tools for unit and integration testing. Use I BM
RequisitePro/Excel, Bugzilla to update information on defects/changes and inspection,
3. Product quality assessment- Assess source code c onformance to customer standards using CheckStyle
and software complexity/quality using Logiscope.
4. TDD – Use of DevOps Tools – Jenkins and Docker to build code, create Docker containers, run tests
and stage production.

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and t he 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.

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Mumbai University Revised 2016 syllabus of ME - IT Page 69



Course Code Course Name Credits
ME-
ITILOCII2051 Project Management 03

Objectives:
1. To familiarize the students with the use of a struc tured methodology/approach for each and every
unique project undertaken, including utilizing proj ect management concepts, tools and
techniques.
2. To appraise the students with the project managemen t life cycle and make them knowledgeable
about the various phases from project initiation th rough 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 d evelop a schedule based on it.
3. Identify opportunities and threats to the project a nd decide an approach to deal with them
strategically.
4. Use Earned value technique and determine & predict status of the project.
5. Capture lessons learned during project phases and d ocument them for future reference

Module Detailed Contents Hrs
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Nec essity of project management, Triple
constraints, Project life cycles (typical & atypica l) Project phases and stage gate
process. Role of project manager. Negotiations and resolving conflicts. Project
management in various organization structures. PM k nowledge areas as per Project
Management Institute (PMI). 5
02 Initiating Projects:
How to get a project started, Selecting project str ategically, Project selection models
(Numeric /Scoring Models and Non-numeric models), P roject portfolio process, Project
sponsor and creating charter; Project proposal. Ef fective project team, Stages of team
development & growth (forming, storming, norming & performing), team dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsib ility chart, Interface
Co-ordination and concurrent engineering, Project c ost estimation and budgeting, Top
down and bottoms up budgeting, Networking and Sched uling techniques. PERT, CPM,
GANTT chart. Introduction to Project Management Inf ormation System (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and levelin g, Goldratt's critical chain, Project
Stakeholders and Communication plan.
Risk Management in projects: Risk management planni ng, Risk identification and risk
register. Qualitative and quantitative risk assessm ent, Probability and impact matrix.
Risk response strategies for positive and negative risks 6
05 5.1 Executing Projects:
Planning monitoring and controlling cycle. Informat ion needs and reporting, engaging
with all stakeholders of the projects.
Team management, communication and project meetings .
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring va lue of work completed; Using
milestones for measurement; change requests and sc ope creep. Project audit.
5.3 Project Contracting 8

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Mumbai University Revised 2016 syllabus of ME - IT Page 70
Project procurement management, contracting and out sourcing,
06 6.1 Project Leadership and Ethics:
Introduction to project leadership, ethics in proje cts.
Multicultural and virtual projects.
6.2 Closing the Project:
Customer acceptance; Reasons of project terminatio n, Various types of project
terminations (Extinction, Addition, Integration, St arvation), Process of project
termination, completing a final report; doing a les sons learned analysis; acknowledging
successes and failures; Project management templat es and other resources; Managing
without authority; Areas of further study. 6



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

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 71

Course Code Course Name Credits
ME-
ITILOCII2052 Finance Management 03

Objectives:
1. Overview of Indian financial system, instruments an d 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 structu re, dividend policy
Outcomes: Learner will be able to…
1. Understand Indian finance system and corporate fina nce
2. Take investment, finance as well as dividend decisi ons

Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components and Functions of
Financial System.
Financial Instruments: Meaning, Characteristics and Classification of Basi c Financial
Instruments — Equity Shares, Preference Shares, Bon ds-Debentures, Certificates of
Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of Fina ncial Markets
— Capital Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning, Characteristics and Classification of Fina ncial
Institutions — Commercial Banks, Investment-Merchan t 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 Por tfolio; Measurement of Historical
Risk and Expected Risk of a Single Security and a T wo-security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and A nnuity
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 De cision, and Dividend Decision.
Financial Ratio Analysis: Overview of Financial Statements—Balance Sheet, Pro fit
and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio Analysis;
Liquidity Ratios; Efficiency or Activity Ratios; Pr ofitability Ratios; Capital Structure
Ratios; Stock Market Ratios; Limitations of Ratio A nalysis. 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 Pres ent Value(NPV), Profitability
Index, Internal Rate of Return (IRR), and Modified Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working Capital; Importance of
Working Capital Management; Factors Affecting an En tity’s Working Capital Needs;
Estimation of Working Capital Requirements; Managem ent of Inventories;
Management of Receivables; and Management of Cash a nd Marketable Securities. 10
05 Sources of Finance: Long Term Sources—Equity, Debt, and Hybrids; Mezzan ine
Finance; Sources of Short Term Finance—Trade Credit , Bank Finance, Commercial
Paper; Project Finance. 05

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Mumbai University Revised 2016 syllabus of ME - IT Page 72
Capital Structure: Factors Affecting an Entity’s Capital Structure; Ov erview of
Capital Structure Theories and Approaches— Net Inco me Approach, Net Operating
Income Approach; Traditional Approach, and Modiglia ni-Miller Approach. Relation
between Capital Structure and Corporate Value; Conc ept of Optimal Capital Structure
06 Dividend Policy: Meaning and Importance of Dividend Policy; Factors Affecting an
Entity’s Dividend Decision; Overview of Dividend Po licy Theories and Approaches—
Gordon’s Approach, Walter’s Approach, and Modiglian i-Miller Approach 03


REFERENCES:
1. Fundamentals of Financial Management, 13 th Edition (2015) by Eugene F. Brigham and Joel F.
Houston; Publisher: Cengage Publications, New Delhi .
2. Analysis for Financial Management, 10 th Edition (2013) by Robert C. Higgins; Publishers:
McGraw Hill Education, New Delhi.
3. Indian Financial System, 9 th Edition (2015) by M. Y. Khan; Publisher: McGraw Hi ll Education,
New Delhi.
4. Financial Management, 11 th 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 ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 73

Course Code Course Name Credits
ME-
ITILOCII2053 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 ownersh ips
2. Interpret key regulations and legal aspects of entr epreneurship 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 Devel opment, Role of Entrepreneurship
in the National Economy, Functions of an Entreprene ur, Entrepreneurship and Forms of
Business Ownership
Role of Money and Capital Markets in Entrepreneuria l Development: Contribution of
Government Agencies in Sourcing information for Ent repreneurship 04
02 Business Plans And Importance Of Capital To Entrepr eneurship: Preliminary and
Marketing Plans, Management and Personnel, Start-up Costs and Financing as well as
Projected Financial Statements, Legal Section, Insu rance, Suppliers and Risks,
Assumptions and Conclusion, Capital and its Importa nce to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business, Buying an
Existing Business, New Product Development, Busines s Growth and the Entrepreneur
Law and its Relevance to Business Operations 09
03 Women’s Entrepreneurship Development, Social entrep reneurship-role and need, EDP
cell, role of sustainability and sustainable develo pment for SMEs, case studies,
exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and po licies of the Ministry of MSME,
role and responsibilities of various government org anisations, departments, banks etc.,
Role of State governments in terms of infrastructur e developments and support etc.,
Public private partnerships, National Skill develop ment 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 ent erprises (risk management, credit
availability, technology innovation, supply chain m anagement, 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 – ha rvesting or closing small business
Critical Success factors of small business 05


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

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Mumbai University Revised 2016 syllabus of ME - IT Page 74
3. Dr TN Chhabra, Entrepreneurship Development, Sun In dia Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Globa l Perspective, New century Publications,
New Delhi
5. Vasant Desai, Entrepreneurial development and manag ement, Himalaya Publishing House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship, Ex cel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Mediu m 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 ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 75

Course Code Course Name Credits
ME-
ITILOCII2054 Human Resource Management 03

Objectives:
1. To introduce the students with basic concepts, tech niques and practices of the human resource
management.
2. To provide opportunity of learning Human resource m anagement (HRM) processes, related with
the functions, and challenges in the emerging persp ective of today’s organizations.
3. To familiarize the students about the latest develo pments, trends & different aspects of HRM.
4. To acquaint the student with the importance of inte r-personal & inter-group behavioral skills in
an organizational setting required for future stabl e engineers, leaders and managers.

Outcomes: Learner will be able to…
1. Understand the concepts, aspects, techniques and pr actices of the human resource management.
2. Understand the Human resource management (HRM) proc esses, functions, changes and
challenges in today’s emerging organizational persp ective.
3. Gain knowledge about the latest developments and tr ends in HRM.
4. Apply the knowledge of behavioral skills learnt and integrate it with in inter personal and
intergroup environment emerging as future stable en gineers and managers.

Module Detailed Contents Hrs
01 Introduction to HR
• Human Resource Management- Concept, Scope and Impor tance,
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, Restructur ing and rightsizing,
Empowerment, TQM, Managing ethical issues. 5
02 Organizational Behavior (OB)
• Introduction to OB Origin, Nature and Scope of Orga nizational Behavior,
Relevance to Organizational Effectiveness and Conte mporary issues
• Personality: Meaning and Determinants of Personalit y, Personality
development, Personality Types, Assessment of Perso nality Traits for
Increasing Self Awareness
• Perception: Attitude and Value, Effect of perceptio n on Individual Decision-
making, Attitude and Behavior.
• Motivation: Theories of Motivation and their Appli cations for Behavioral
Change (Maslow, Herzberg, McGregor);
• Group Behavior and Group Dynamics: Work groups form al and informal
groups and stages of group development. Team Effect iveness: High performing
teams, Team Roles, cross functional and self-direct ed team.
• Case study 7
03 Organizational Structure &Design
• Structure, size, technology, Environment of organiz ation; Organizational Roles 6

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Mumbai University Revised 2016 syllabus of ME - IT Page 76
& conflicts: Concept of roles; role dynamics; role conflicts and stress.
• Leadership: Concepts and skills of leadership, Lead ership and managerial roles,
Leadership styles and contemporary issues in leader ship.
• Power and Politics: Sources and uses of power; Poli tics 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-eng ineering (BPR), BPR as a
tool for organizational development , managing proc esses & 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 ag eing people, intra
company cultural difference in employee motivation. 6
06 HR & MIS
Need, purpose, objective and role of information sy stem 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 Decisio n Making; Strategic Intent –
Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations
Evolution of IR, IR issues in organizations, Overvi ew of Labor Laws in India; Industrial
Disputes Act, Trade Unions Act, Shops and Establishments Act 10

REFERENCES:
1. Stephen Robbins, Organizational Behavior, 16 th Ed, 2013
2. V S P Rao, Human Resource Management, 3 rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases, 6 th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industri al Relations in India, 15 th Ed, 2015,
Himalaya Publishing, 15 th edition, 2015
5. P. Subba Rao, Essentials of Human Resource manageme nt and Industrial relations, 5 th Ed, 2013,
Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavio r, 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 ei ther
a class test or assignment on live problems or cour se 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.

Page 78

Mumbai University Revised 2016 syllabus of ME - IT Page 77
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 78

Course Code Course Name Credits
ME-
ITILOCII2055 Professional Ethics and Corporat Social Responsibil ity (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 r esponsibility
3. Demonstrate professional ethics
4. Understand legal aspects of corporate social respon sibility

Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Business Ethics; Ethical Issues in
Business; Moral Responsibility and Blame; Utilitari anism: 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 P olicy
Professional Ethics and the Environment: Dimensions of Pollution and Resource
Depletion; Ethics of Pollution Control; Ethics of C onserving Depletable Resources 08
03 Professional Ethics of Consumer Protection: Markets and Consumer Protection;
Contract View of Business Firm’s Duties to Consumer s; 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, Supp lier relations; Criticisms and
concerns—Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in In dia 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small and Mediu m Enterprises (SMEs) in India,
Corporate Social Responsibility and Public-Private Partnership (PPP) in India 08
06 Corporate Social Responsibility in Globalizing Indi a: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate Affairs,
Government of India, Legal Aspects of Corporate Soc ial Responsibility—Companies
Act, 2013. 08



REFERENCES:
1. Business Ethics: Texts and Cases from the Indian Pe rspective (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: Routle dge.

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Mumbai University Revised 2016 syllabus of ME - IT Page 79
3. Business Ethics: Concepts and Cases, 7th Edition (2 011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bi dyutChakrabarty, Routledge, New
Delhi.
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 80

Course Code Course Name Credits
ME-
ITILOCII2056 Research Methodology 03

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

Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postul ate, Proposition, Thesis,
Hypothesis, Law, Principle.Research methods vs Meth odology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research:Systematic, Valid, Veri fiable, Empirical and Critical 09
02 Types of Research
2.1 . Basic Research
2.2 . Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5 . Empirical Research
2.6 Qualitative and Quantitative Approaches 07
03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling Stages in
Sample Design Sampling methods/techniques Sampling Errors 07
04 Research Methodology
4.1 Meaning of Research Methodology
4.2 . Stages in Scientific Research Process:
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report 08
05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availabil ity, Choice of data, Analysis of
data, Generalization and Interpretation of analysis 04
06 Outcome of Research 04

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Mumbai University Revised 2016 syllabus of ME - IT Page 81
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation



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


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or at least 6 assignment on complete s yllabus 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 82

Course Code Course Name Credits
ME-
ITILOCII2057 IPR and Patenting 03

Objectives:
1. To understand intellectual property rights protecti on system
2. To promote the knowledge of Intellectual Property L aws of India as well as International treaty
procedures
3. To get acquaintance with Patent search and patent f iling procedure and applications
Outcomes: Learner will be able to…
1. understand Intellectual Property assets
2. assist individuals and organizations in capacity bu ilding
3. work for development, promotion, protection, compli ance, 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,C opyrights, Industrial Designs, Plant
variety protection, Geographical indications,Transf er of technology etc.
Importance of IPR in Modern Global Economic Environ ment: Theories of IPR,
Philosophical aspects of IPR laws, Need for IPR, IP R as an instrument of development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of problem,
Factors that create and sustain counterfeiting/pira cy, International agreements,
International organizations (e.g. WIPO, WTO) active in 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 Enforcem ent of IPR at national level etc. 07
03 Emerging Issues in IPR: Challenges for IP in digital economy, e-commerce, h uman
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 applicat ions (e.g. Patent of addition etc),
Process Patent and Product Patent, Precautions whil e patenting, Patent specification
Patent claims, Disclosures and non-disclosures, Pat ent rights and infringement, Method
of getting a patent 07
05 Patent Rules: Indian patent act, European scenario, US scenario, Australia scenario,
Japan scenario, Chinese scenario, Multilateral trea ties where India is a member (TRIPS
agreement, Paris convention etc.) 08
06 Procedure for Filing a Patent (National and Interna tional): Legislation and Salient
Features, Patent Search, Drafting and Filing Patent Applications, Processing of patent,
Patent Litigation, Patent Publicationetc, Time fram e and cost, Patent Licensing, Patent
Infringement
Patent databases: Important websites, Searching international databas es 07

REFERENCE BOOKS:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relati ng to Intellectual Property Rights in
India, The Institute of Chartered Accountants of In dia

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Mumbai University Revised 2016 syllabus of ME - IT Page 83
2. Keayla B K, Patent system and related issues at a g lance, 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 P roperty and Human Development: Current
Trends and Future Scenario, Cambridge University Pr ess
5. Cornish, William Rodolph & Llewelyn, David. 2010, I ntellectual Property: Patents, Copyrights,
Trade Marks and Allied Right, 7 th Edition, Sweet & Maxwell
6. Lous Harns, 2012, The enforcement of Intellactual P roperty Rights: A Case Book, 3 rd Edition,
WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rig hts, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intelle ctual Property Rights, 1st Edition, Excel
Books
9. M Ashok Kumar and mohd Iqbal Ali, 2-11, Intellectua l Property Rights, 2nd Edition, Serial
Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamenta ls of IPR for Engineers, 1st Edition, BS
Publications
11. Entrepreneurship Development and IPR Unit, BITS Pil ani, 2007, A Manual on Intellectual
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and L icensing for Scientists and Engineers,
World Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti Mathur, Anshul Rathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights fo r Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law f or Engineers and scientists, Wiley-IEEE
Press


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or at least 6 assignment on complete s yllabus 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 84



Course Code Course Name Credits
ME-ITILOCII
2058 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-mark et places, structures,
mechanisms, economics and impacts
Difference between physical economy and digital eco nomy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud Computing,
Social media, BYOD, and Internet of Things(digitall y intelligent
machines/services)
Opportunities and Challenges in Digital Business, 09
2 Overview of E-Commerce
E-Commerce- Meaning, Retailing in e-commerce-products and servi ces,
consumer behavior, market research and advertisemen t
B2B-E-commerce-selling and buying in private e-mark ets, public B2B exchanges
and support services, e-supply chains, Collaborativ e Commerce, Intra business EC
and Corporate portals
Other E-C models and applications, innovative EC Sy stem-From E-government
and learning to C2C, mobile commerce and pervasive computing
EC Strategy and Implementation-EC strategy and glob al EC, Economics and
Justification of EC, Using Affiliate marketing to p romote your e-commerce
business, Launching a successful online business an d EC project, Legal, Ethics
and Societal impacts of EC 06
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

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Mumbai University Revised 2016 syllabus of ME - IT Page 85
4 Manag ing E -Business -Managing Knowledge, Management skills for e-busin ess,
Managing Risks in e –business
Security Threats to e-business -Security Overview, Electronic Commerce Threats,
Encryption, Cryptography, Public Key and Private Ke y Cryptography, Digital
Signatures, Digital Certificates, Security Protocol s over Public Networks: HTTP,
SSL, Firewall as Security Control, Public Key Infra structure (PKI) for Security,
Prominent Cryptographic Applications 06
5 E-Business Strategy -E-business Strategic formulation- Analysis of Comp any’s
Internal and external environment, Selection of str ategy,
E-business strategy into Action, challenges and E-T ransition
(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, 6 th 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 Coup ey, 2 nd 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 : Proc eedings in 2 nd International Conference
theory and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework fo r Transformation, TCS consulting journal
Vol.5
10. Measuring Digital Economy-A new perspective -DOI: 10.1787/9789264221796-en OECD
Publishing

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or at least 6 assignment on complete s yllabus 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 86

Course Code Course Name Credits
ME-
ITILOCII2059 Environmental Management 03

Objectives:
1. Understand and identify environmental issues releva nt 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 chai n etc.
3. Understand and interpret environment related legisl ations

Module Detailed Contents Hrs
01 Introduction and Definition of Environment: Signifi cance of Environment
Management for contemporary managers, Career opport unities.
Environmental issues relevant to India, Sustainable Development, The Energy
scenario. 10
02 Global Environmental concerns : Global Warming, Aci d 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 interdependenc e between living organisms,
habitats, limiting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role & functions o f Government as a planning
and regulating agency.
Environment Quality Management and Corporate Enviro nmental Responsibility 10
05 Total Quality Environmental Management, ISO-14000, EMS certification. 05
06 General overview of major legislations like Environ ment Protection Act, Air (P & CP)
Act, Water (P & CP) Act, Wildlife Protection Act, F orest Act, Factories Act, etc. 03

REFERENCES:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers London,
1999
2. A Handbook of Environmental Management Edited by Jo n 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 Th eodore and Louise Theodore, CRC Press
7. Environment and Ecology, Majid Hussain, 3 rd Ed. Access Publishing.2015

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Mumbai University Revised 2016 syllabus of ME - IT Page 87


Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is ei ther
a class test or assignment on live problems or cour se 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 supp osed 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.

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Mumbai University Revised 2016 syllabus of ME - IT Page 88





Subject Code Subject Name Credits
ME-ITL101 Laboratory I (Core Course Lab) 01

Module Detailed content Lab.
Sessions
1 Two Laboratory Practical’s to be conducted for each of the core subjects
as suggested in the subject syllabus. 24

Modality and Assessment:

1. Each Laboratory assignment will be done in a group of two students. The Faculty teaching each
core subject will be required to propose and evalua te the respective Laboratory assignments.
These will be essentially hands-on practical and no t theory / research review types of
assignments.
2. End Semester Examination: Practical/Oral examination is to be conducted by pa ir of internal
and external examiners.

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Mumbai University Revised 2016 syllabus of ME - IT Page 89



Subject Code Subject Name Credits
ME-ITL102 Laboratory II –(DLOC & ILOC Lab) 01

Module Detailed content Lab.
Sessions
1 Three Laboratory Practical’s to be conducted for ea ch of the DEC & IEC
subjects as suggested in the subject syllabus. 24

Modality and Assessment:

1. Each mini project assignment will be done by indivi dual student. The Faculty teaching elective
subject will be required to propose and evaluate th e respective mini projects. These will be
essentially hands-on practical and not theory / res earch review types of projects
2. End Semester Examination: Practical/Oral examination is to be conducted by pa ir of internal
and external examiners

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Mumbai University Revised 2016 syllabus of ME - IT Page 90






Subject Code Subject Name Credits
ME-ITL201 Laboratory III-(Core Course Lab) 01

Module Detailed content Lab.
Sessions
1 Two Laboratory Practical’s to be conducted for each of the core subjects
as suggested in the subject syllabus. 24

Modality and Assessment:

1. Each Laboratory assignment will be done in a group of two students. The Faculty teaching each
core subject will be required to propose and evalua te the respective Laboratory assignments.
These will be essentially hands-on practical and no t theory / research review types of
assignments.
2. End Semester Examination: Practical/Oral examination is to be conducted by pa ir of internal
and external examiners

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Mumbai University Revised 2016 syllabus of ME - IT Page 91

Subject Code Subject Name Credits
ME -ITL202 Laboratory IV –(D LO C & I LO C Lab) 01

Module Detailed content Lab.
Sessions
1 Three Laboratory Practical’s to be conducted for ea ch of the DLOC &
ILOC subjects as suggested in the subject syllabus. 24

Modality and Assessment:

1. Each mini project assignment will be done by indivi dual student. The Faculty teaching elective
subject will be required to propose and evaluate th e respective mini projects. These will be
essentially hands-on practical and not theory / res earch review types of projects
2. End Semester Examination: Practical/Oral examination is to be conducted by pa ir of internal
and external examiners

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Mumbai University Revised 2016 syllabus of ME - IT Page 92

Subject Code Subject Name Credits
ME-ITS301 Seminar 03

Guidelines for Seminar
o Seminar should be based on thrust areas in Informat ion Technology
o Students should do literature survey and identify t he topic of seminar and finalize in consultation
with Guide/Supervisor. Students should use multiple literatures (at least 10 papers from Refereed
Journals) and understand the topic and compile the report in standard format and present in front of
Panel of Examiners. (pair of Internal and External examiners appointed by the University of
Mumbai)
o Seminar should be assessed based on following point s

Quality of Literature survey and Novelty in the top ic

Relevance to the specialization

Understanding of the topic

Quality of Written and Oral Presentation

IMPORTANT NOTE :
1. Assessment of Seminar will be carried out by a pair of Internal and External examiner. The
external examiner should be selected from approved panel of examiners for Seminar by
University of Mumbai, OR faculty from Premier Educa tional Institutions /Research
Organizations such as IIT, NIT, BARC, TIFR, DRDO, e tc. OR a person having minimum Post-
Graduate qualification with at least five years’ ex perience in Industries.

2. Literature survey in case of seminar is based on th e broader area of interest in recent
developments and for dissertation it should be focu sed mainly on identified problem.

3. At least 4-5 hours of course on Research Methodolog y should be conducted which includes
Literature Survey, Problems Identification, Analysi s and Interpretation of Results and Technical
Paper Writing in the beginning of 3 rd Semester.
4. Students should publish at least one paper based on the seminar work in reputed International /
National Conference/Journal (desirably in Referred Journal should be ISI/Scopus/SCI indexing)

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Mumbai University Revised 2016 syllabus of ME - IT Page 93

Subject Code Subject Name Credits
ME-ITD301/
ME-ITD401 Dissertation (I and II) 12 + 15

Guidelines for Dissertation
o Students should do literature survey and identify t he problem for Dissertation and finalize in
consultation with Guide/Supervisor. Students should use multiple literatures and understand the
problem. Students should attempt solution to the pr oblem by analytical/simulation/experimental
methods. The solution to be validated with proper j ustification and compile the report in standard
format.
Guidelines for Assessment of Dissertation I
o Dissertation I should be assessed based on followin g points
o

Quality of Literature survey and Novelty in the pro blem

Clarity of Problem definition and Feasibility of pr oblem solution

Relevance to the specialization

Clarity of objective and scope
o Dissertation I should be accessed through a present ation by a panel of Internal examiners
appointed by the Head of the Department/Institute o f respective Programme.
Guidelines for Assessment of Dissertation II
o Dissertation II should be assessed based on followi ng points

Quality of Literature survey and Novelty in the pro blem

Clarity of Problem definition and Feasibility of pr oblem solution

Relevance to the specialization or current Research / Industrial trends

Clarity of objective and scope

Quality of work attempted

Validation of results

Quality of Written and Oral Presentation
o Dissertation II should be accessed through a presen tation jointly by Internal and External
Examiners appointed by the University of Mumbai
o Students should publish at least one or two paper b ased on the work in reputed International /
National Conference/Journal (desirably in Referred Journal should be ISI/Scopus/SCI indexing)
(desirably in Referred Journal)