Vide Item No 649 R Revised syllabus of ME CAD CAM and Robotics Sem I to IV CBCS REV 2022 Scheme_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA

for information.

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AC – 11 July, 2022
Item No. – 6.49 (R)





University of Mumbai











Revised Syllabus for
M.E.
(CAD / CAM and Robotics)
Semester – (Ito IV)
(Choice Based Credit System)



(With effect from the academic year 2022 -23)

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Preamble

Education in engineering is growing in India and is expected to increase by a factor of several in the
near future. The current situation presents a significant challenge in terms of ensuring quality to
stakeholders while expanding. To face this challenge, the problem of quality must be addressed,
debated, and progressed in a methodical manner. Accreditation is the primary form of quality
assurance in higher education, and it signifies that the institution or programme of study is
committed to me eting certain minimum stated requirements and is available to external assessment
in order to get recognition. The main goal of this accrediting procedure is to assess the outcomes of
the programme being evaluated. Program outcomes are a collection of skil ls and information that a
student will possess upon completion of the programme. In keeping with this, the University of
Mumbai's Faculty of Science and Technology has taken the lead in implementing the principle of
outcome -based education into the curricu lum building process.
We are pleased to report that the Postgraduate Program Educational Objectives were completed in a
brainstorming session attended by more than 20 members from the University's associated
institutes. They were either department heads or senior faculty from the Mechanical Engineering
Department. The Program Educational Objectives finalized for the postgraduate program in
Mechanical Engineering are listed below;
1. To prepare the Learner with a sound foundation in the mathematical, scienti fic and engineering
fundamentals.
2. To prepare the Learner to use modern tools effectively in order to solve real life problems.
3. To prepare the Learner for a successful career in Indian and Multinational Organisations
4. To encourage and motivate the L earner in the art of self -learning.
5. To inculcate a professional and ethical attitude, good leadership qualities and commitment to
social responsibilities in the Learner‘s thought process.
In addition to the aforementioned, linked Institutes may add 2 to 3 additional programme
instructional objectives of their own. In addition to Program Educational Objectives, each course in
a postgraduate program's curriculum includes objectives and expected outcomes from the
perspective of the learner to support the id ea of outcome -based education. We are convinced that
even a tiny move in the correct manner will go a long way toward ensuring that the main
stakeholders receive high -quality education.

Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Tech nology
University of Mumbai Dr Anuradha Muzumdar
Dean
Faculty of Science and Technology
University of Mumbai

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Preface
To tackle the challenge of assuring engineering education excellence, the problem of quality must
be addressed, debated, and progressed in a methodical manner. Accreditation is the primary way of
ensuring the quality of higher education. The main goal of the certification procedure is to
determine how good a company is. The major emphasis of accreditation process i s to measure the
outcomes of the program that is being accredited. In line with this, Faculty of Technology of
University of Mumbai has taken a lead in incorporating philosophy of outcome -based education in
the process of curriculum development.
Faculty of Science and Technology, University of Mumbai, in one of its meetings collectively
resolved that, each Board of Studies shall prepare some Program Educational Objectives (PEOs),
give freedom to Affiliated Institutes to add few (PEOs), course objectives cou rse outcomes to be
clearly defined for each course, so that all faculty members in linked institutes are aware of the
depth of approach to the subject to be given, so improving the learning process of students It was
also decided that while changing the cu rriculum, the most senior academics from institutions and
industry specialists should be included.
We are happy to state that the Board of studies has adhered to the resolutions passed by Faculty of
Technology and developed curriculum accordingly. In addit ion to outcome -based education, Choice
Based Credit System is also introduced to ensure quality of engineering education.
Choice Based Credit and Grading System allows for a much -needed shift in education focus from
teacher -centric to learner -centric, sinc e the workload estimate is based on time spent learning rather
than teaching. It also emphasises constant evaluation, which will improve educational quality.
University of Mumbai has taken a lead in implementing the system through its affiliated Institutes .
Faculty of Technology has devised a transparent credit assignment policy, adopting a ten -point scale
to grade learner‘s performance. REV -2022 scheme is implemented for Master of Engineering from
the academic year 2022 -2023.
We trust this revised version of syllabus come up to the expectations of all stakeholders. We wish
to place on record our sincere thanks and appreciations to the various contributors from the
academia and industry for their most learned inputs in framing this syllabus.
Board of Studie s in Mechanical Engineering
Dr. Vivek K. Sunnapwar : Chairman
Dr. S. M. Khot : Member
Dr. V . M. Phalle : Member
Dr. Siddappa Bhusnoor : Member
Dr. S.S. Pawar : Member
Dr. Sanjay U. Bokade : Member
Dr. Dhanraj Tambuskar : Member
Dr. V . B. Tungikar : Member
Dr. K.P. Karunakaran : Member
Dr. S. S. Thipse : Member
Dr. Milind Deshmukh : Member

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Semester I

Course
Code Course Name Teaching Scheme (Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
CCC101 Computer Aided
Design 3 -- -- 3 -- -- 3
CCC102 Mechatronics and
Automation 3 -- 3 -- 3
CCPE101X Program Elective
1 3 -- -- 3 -- -- 3
CCPE102X Program Elective
2 3 -- -- 3 -- -- 3
CCIE101X Institute Elective
1 3 -- -- 3 -- -- 3
CCL101 Program Lab -I
CAD and
Computer Aided
Engineering -- 2 -- -- 1 -- 1
CCSBL101 Skill Based Lab -I
Simulation
Based
Optimization
and Data
Analytics -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18
Course
Code Course Name Examination Scheme
Theory Term
Work Pract
/
Oral Total
Internal Assessment End Sem.
Exam Exam.
Duration
(in Hrs)
Test-1 Test-2 Avg
CCC101 Computer Aided
Design 20 20 20 80 3 -- -- 100
CCC102 Mechatronics and
Automation 20 20 20 80 3 -- -- 100
CCPE101X Program Elective
1 20 20 20 80 3 -- -- 100
CCPE102X Program Elective
2 20 20 20 80 3 -- -- 100
CCIE101X Institute Elective
1 20 20 20 80 3 -- -- 100
CCL101 Program Lab -I
CAD and
Computer Aided
Engineering -- -- -- -- -- 25 25 50
CCSBL101 Skill Based Lab -I
Simulation -- -- -- -- -- 50 50 100

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Based
Optimization
and Data
Analytics
Total -- -- 100 400 -- 75 75 650


Course
Code Program Elective 1
(CCPE101X) Course
Code Program Elective 2
(CCPE102X)
CCPE1011 Artificial Intelligence and Expert
System CCPE1021 MEMS
CCPE1012 Smart Materials CCPE1022 Optimization
CCPE1013 Simulation and Modelling CCPE1023 Advanced Manufacturing Technology

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Course
Code Institute Elective 1
CCIE101X
CCIE1011 Product Lifecycle Management
CCIE1012 Reliability Engineering
CCIE1013 Management Information System
CCIE1014 Design of Experiments
CCIE1015 Operation Research
CCIE1016 Cyber Security and Laws
CCIE1017 Disaster Management and Mitigation Measures
CCIE1018 Energy Audit and Management

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Semester II

Course
Code Course Name Teaching Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
CCC201 Industrial
Robotics 3 -- -- 3 -- -- 3
CCC202 Computer Aided
Machining (CAM) 3 -- 3 -- 3
CCPE201X Program Elective
3 3 -- -- 3 -- -- 3
CCPE202X Program Elective
4 3 -- -- 3 -- -- 3
CCIE201X Institute Elective
2 3 -- -- 3 -- -- 3
CCL201 Program Lab -II
CAM and
Additive
Manufacturing -- 2 -- -- 1 -- 1
CCSBL201 Skill Based Lab -
II
Mechatronics
and Robotics
-- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract
/
Oral Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
CCC201 Industrial Robotics 20 20 20 80 3 -- -- 100
CCC202 Computer Aided
Machining (CAM) 20 20 20 80 3 -- -- 100
CCPE201X Program Elective
3 20 20 20 80 3 -- -- 100
CCPE202X Program Elective
4 20 20 20 80 3 -- -- 100
CCIE201X Institute Elective
2 20 20 20 80 3 -- -- 100
CCL201 Program Lab -II
CAM and
Additive
Manufacturing -- -- -- -- -- 25 25 50
CCSBL201 Skill Based Lab -
II
Mechatronics
and Robotics
-- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650

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Course Code Program Elective 3
(CCPE201X) Course
Code Program Elective 4
(CCPE202X)
CCPE2011 Product Design CCPE2021 Rapid Manufacturing
CCPE2012 Advanced Finite
Element Analysis CCPE2022 Sustainable Manufacturing
CCPE2013 Control Engineering CCPE2023 Internet of Things (IOT)

Note 1: Skill Based Lab - I and II are focused on the learning through experience. SBL shall facilitate the
learner to acquire the fundamentals of practical engineering in his or her specialization in a
project -oriented environment. The learning through sk ill based labs can be useful in facilitating
their research work and hence useful in early completion of their dissertation work.


Course
Code Institute Level Optional Course II
CCIE201X
CCIE2011 Project Management
CCIE2012 Finance Management
CCIE2013 Entrepreneurship Development and
Management
CCIE2014 Human Resource Management
CCIE2015 Professional Ethics and CSR
CCIE2016 Research Methodology
CCIE2017 IPR and Patenting/IP Management
CCIE2018 Digital Business Management
CCIE2019 Environmental Management

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Semester III

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
CCMP301 Major Project:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 00 00 10 -- 10
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/
Oral Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
CCMP301 Major Project:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100



Online Credit Courses

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
CCOCC301 Online Credit Course - I -- -- -- -- -- -- 3
CCOCC301 Online Credit Course -
II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06



Note 2: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam
/MOOC or similar platform approved by UoM. These two courses shall be completed in any
semester I or II or III, but not later end of the Semester III. University shal l make a provision that
credits earned with OCC - I and OCC -II shall be accounted in the third semester grade -sheet with
actual names of courses. The learner shall be allowed to take up these courses from his or her
institute or organisation/ industry where his / her major project is carried out. The students shall
complete the courses and shall qualify the exam conducted by the respective authorities/ instructor
from the platform. The fees for any such courses and the corresponding examination shall be
borne by the learner.

Online Credit Course – I
The learner shall opt for the course in the domain of Research Methodology or Research & Publication
Ethics or IPR. The opted course shall be of 3 credits of equivalent number of weeks.

Online Credit Course –II
The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor from the
institute. The opted course shall be of 3 credits of equivalent number of weeks.

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Semester IV

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
CCMP401 Major Project:
Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/
Oral Total Internal
Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
CCMP401 Major Project :
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits: 68

Note 3: The Dissertation -II submission shall not be permitted till the learner completes all the
requirements ME course.

Note 4: The contact hours for the calculation of load of the teacher for Major Project are as follows:
Major Project Dissertation I and II - 02 Hour / week / student


Guidelines for Dissertation -I

Students should do literature survey and identify the 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 problem by analytical/simulation /experimental
methods. The solution to be validated with proper justification and compile the report in standard
format. Guidelines for Assessment of Dissertation -I.

Dissertation -I should be assessed based on following points
 Quality of Literature sur vey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization
 Clarity of objective and scope Dissertation -I should be assessed through a presentation by a panel
of Internal ex aminers and external examiner appointed by the Head of the Department/Institute
of respective Programme.

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Guidelines for Assessment of Dissertation II

Dissertation II should be assessed based on following points:
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization or current Research / Industrial trends
 Clarity of objective and scope
 Quality of work attempted or learner contribution
 Validation of results
 Quality of Written and Oral Presentation
Students should publish at least one paper based on the work in referred National/ International
conference/Journal of repute.

Dissertation II should be assessed by internal and External Examiners appointed by the University
of Mumbai.

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Course Code Course Name Credits
CCC101 Computer Aided Design 03

Course Prerequisites:
1. Linear Algebra – Basics of Matrix Multiplication and Coordinate Geometry

Objectives:
1. Learn the rudiments of Computer Aided Design (CAD) and CAD systems.
2. Use 3D modeling software to accurately generate and easily modify graphical
representations of the product
3. Enable the use of efficient product data management techniques.
4. Enable the use of programming languages to program various algorithms for
problem solving —related to generation of computer graphics and application to
engineering design process.

Outcomes: Upon completion of the course, learner should be able to —
1. Integrate the role of graphic communication in the engineering design process.
2. Use algorithmic foundation for solving problems by writing computer programs.
3. Implement 2D and 3D transformations for positioning/shaping objects, or to change
viewing positions, or even to chan ge how something is viewed (e.g. perspective
projections)
4. Formulate the parametric representation of standard conic shapes, 2D and 3D freeform
curves and surfaces in the most efficient manner — required for creating complex profiles
and geometries.
5. Descri be various techniques of computer simulated reality i.e. virtual realism.

Module Detailed content Hours
1 Introduction to Computer Graphics: Definitions, Classification, Architecture
of Interactive Computer Graphics, Applications
Display & Interactive devices
Scan Conversion: Pixel plotting, Scan Conversion of Line, Circle, Ellipse,
Parabola, Hyperbola.
Effects of Scan conversion
Polygons: Types, Polygon filling using Boundary fill, edge fill, Flood fill
algorithms, Scan conversion with R eal Time scan conversion, Run length 6
2 Object Transformations: 2D & 3D (Translation, Rotation, Reflection,
Scaling, Shearing); Homogeneous Coordinates, Decomposition of combined
transformation matrix into basic transformation matrices (limited to three)
taken in order 8
3 2-D Viewing & Clipping, 3D Viewing & Clipping Projections: Parallel
&Perspective Projections 6
4 Curves: Spline curve, Bezier curve, DeCasteljau Algorithm for generating
Bezier curves (limited to cubic curves), B -Spline curve, NURBS curve
Surfaces: Hermite, Bezier & B -Spline surfaces 6
5 Virtual Reality: Hidden Lines &Hidden Surfaces: Z -Buffer, Painters, Area -
Subdivision, Scan Line algorithm
Light, Color&Shading Models, Animation 5

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6 CAD &Geometric Modeling: Features of Modeling& Assembly Packages,
Types of Geometric Modeling , Data Structures, Product Data Exchange
Formats.
Fundamentals of CAE: General procedures of Numerical methods like FEM
& FDM, Kinematic Analysis & Animation, Features and Application of
FEM. 5

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. Computer Graphics –F.S Hill. Jr
2. Computer Graphics —Zhigang Xiang & Roy Plastock (Schaum‘s Outlines)
3. Computer Graphics —Hearn & Baker
4. Mathematical Elements for Computer Graphics —David F. Rogers, James Alan
Adams
5. Procedural Elements for Computer Graphics —David F. Rogers, James Alan Adams
6. Mastering CAD/CAM —Ibrahim Zeid 7.Geometric Modelling —Mortenson, M.E.
8. Computer Graphics —Amarendra Sinha, ArunUdai
9. Fundamentals of Computer Graphics —Peter Shirley
10. CAD/CAM - Theory and Practice —Ibrahim Zeid, R Sivasubramanian
11. CAD/CAM —Mikell Groover, Emory Zimmers Jr.
12. CAD CAM - Principles, Practice, and Manufacturing Management —Chris
McMahon, Jimmie Browne
13. Curves and Surfaces in Computer Aided Geometric Design —Fujio Yamaguchi
14. Computer Graphics – Principles & Practice —Foley, van Dam, Feiner, Hughes
15. Computer Aided Engineering Design —Anupam Saxena, Birendra Sahay

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Course Code Course Name Credits
CCC102 Mechatronics and Automation 03

Objectives:
1. To Familiarize with the basic concepts of Automation and Mechatronics
2. To acquaint with the Concept of Design of pneumatic and Hydraulic system
3. To acquaint with the mechanisms of physical devices with Electronics, Electrical and
Information systems to problems and Challenges in the areas of Mechatronics
4. Acquire knowledge of mechatronics in the field of product Design, Development and
Manufacturin g

Outcomes: Upon completion of the course, learner should be able to —
1. Demonstrate the use of Low -cost automation
2. Design of pneumatic and hydraulic system
3. Understand mechatronics components for a given application
4. Demonstrate team -oriented Skills withi n the field of mechatronics


Module Detailed content Hours
1 Definition; Automation in production systems; Automation principles and
strategies; Levels of automation; Types of automation; Benefits and
Impact of Automation on Manufacturing and Process Industries.
Traditional and Mechatronics design, Mechatronics Key elements, Basic
Components of Mechatronics Systems, Integrated design issues in
Mechatronics, Mechatronics Design process, Mechatronics System in
Factory, Home and Business Applications, Obj ectives, Advantages and
Disadvantages of Mechatronics. 6
2 Overview of Sensors and Transducers - Sensors for motion and
position, Force Torque and Tactile Sensors, Range Sensors, Proximity
Sensors, Ultrasonic Sensors. Interfacing of sensors with micro -computer
system. Micro and Nano Sensors in Mechatronics. 6
3 Pneumatic Circuit Design : Types of Actuators , Direction Control
Valves, , flow and pressure control valves, Timer. Cascading and Shift
Register Circuit Upto 3 Cylinders.
Design of Electro -Pneumatic Circuits using single solenoid and double
solenoid valves; with and without grouping; Design of Pneumatic circuits
using PLC Control (ladder programming only) up to 2 cylinders, with
applications of Timers and Counters and concept of Flag and latching. 8
4 Overview of Micro -processors and Micro -controllers - 8051 Micro -
controllers, Functional Block diagram and Architecture, Instruction set
and Assembly Language Programming. 6

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5 Interfacing hardware with real world - Analog Interface and Data
acquisition, Digital I/O interfacing, special function interfacing, signal
conditioning, special utility support hardware Interfacing of: HEX -
keyboards, LCD display, ADC, DAC
and stepper motor with 8051 Micro controller. 6
6 Case Studies of Mechatronics Systems - Timed Switch, Pick and Place
Robot, Car Park Barrier, Automatic Camera, Car Engine Management,
Bar Code System, CNC Machine, ABS, Artificial Intelligence in
Mechatronics, Fuzzy Logic applications in Mechatronics. 4

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for ex ample supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. Joji P, Pneumatic Controls, Wiley India PVT. Ltd, 2008
2. Peter Croser, Frank Ebel, Pneumatics Basi c Level, Festo Didactic GMbH& Co. Germany.
3. Prede G, Scholz D, Electro -pneumatics Basic level, Festo DidacicGmbh& Co. Germany
4. The 8051 microcontroller Architecture, Programming and Applications Kenneth J T
Ayala, Pemam International Publishing, (India).
5. The 8051 microcontroller and embedded systems using assembly and C by M.A.
Mazidi, J. Mazidi and R. D. McKinlay. PHI, second edition
6. Mechatronics. HMT

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CourseCode CourseName Credits
CCPE1011 ArtificialIntelligenceandExpertSystems 03

Objectives:
1. ToUnderstandandexplainthebasicknowledgerepresentation,problemsolving,andlearningmeth
odsofArtificialIntelligenceandexpertsystem.
2. ToAssesstheapplicability,strengths,andweaknessesofthebasicknowledgerepresentation,probl
emsolving,andlearningmethodsinsolvingpart icularengineeringproblems
3. ToequipstudentswiththetoolstotacklenewAIparadigm,developaninterestinthefieldsufficientto
takemoreadvancedsubjects.
4. Todevelopintelligentsystemsbyassemblingsolutionstoconcretecomputationalproblems.

Outcomes: Learnerwillbeableto…
1. Understandknowledgebase,searchmethods,heuristicandstatespacemethodsetc,.
2. Understand/Simulate/imitateanintelligenthumanbeing,intermsofconversation.
3. Understandartificialintelligence,problemsolving,intelligentagents,expertsystems,searchtech
niques.
4. Developapie ceofsoftwarewhichisabletoprocessnaturallanguage,knowledgerepresentation.

M
od
ul
e DetailedContents Ho
ur
s




0
1 AIandInternalRepresentation: Introduction,definitions -
Turingapproach,Cognitivemodelingapproach,Lawsofthoughtapproach,Therationalagentappro
ach,FoundationsofAI(history).
IntelligentAgents: ConceptofRationalAgent,StructureofIntelligentagents,agentprogram,Exa
mples.Simplereflexagent,Goalbasedagent,Utilitybasedagent,AgentEnvironments ,environmen
tprograms,Examples. ProblemSolving: Solvingproblemsbysearchin g,
ProblemFormulation,SearchStrategies,UninformedSearchTechniques,DFS,BFS,Uniformcost
search,IterativeDeepening,ComparingdifferentTechniques,
Informedsearchmethods –BestFirstSearch,heuristicfunctions,Hill -
Climbing,A*.IDA*.CryptArithmetic.



0
6




0
2 Game playing :Perfect decisions in two person games, Imperfect decisions,Alpha -
betapruning,Gameswithelementofchance.
Knowledgebasedagent, WUMPUSsimpleenvironmentalclassgame,knowledgerepresentation
s,reasoningandlogic,prepositionallogic,AgentforWUMPUS, translatingknowledgeintoaction,p
roblemswithprepositionalagent.
Firstorderlogics,(syntaxandsemantics),logicalagentforWUMPUS,simplereflexagent,Represen
tingchangeintheworld,situationcalculus,frameproblemsandrelatives.Basicrepresentationsforpl
anning,situation
stateandplan,representationforplans,practicalplanning.



0
6

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0
3 ExpertSystems: Characteristics,capabilities,components,limitations,applications with respect
to manufacturing and mechanical engineering (case
studies).Expertsystemtechnologiesandits benefits.
ProgramminginLISPorPROLOG: Lisps,TypingatLisp,DefiningPrograms, Basic Flow of
Control in Lisp, Lisp Style, Atoms and Lists,
BasicDebugging,BuildingUpListStructure,MoreonPredicates,Properties,Pointers,CellNotatio
nandtheInternals(Almost)ofLisp, DestructiveModificationofLists,TheforFunction,Recursion,S
copeofVariablesInput/output,Macros.Datawarehousing&DataMining.OnlineAnalytic
Processing[OLAP]:itsarchitectureanditsuse.Javaimplementations.


0
6



0
4 FundamentalsConceptsandModelsofArtificial NeuralSystems: BiologicalNeuronandtheir
ArtificialModels,ModelsofANN,Learningand Adaptation, Neural Networking Learning
Rules. Single -layer PerceptionClassifiers.
MultilayerFeedforwardNetworks: LinearlyNon -separablePattern
Classification,DeltaLearningRule, FeedforwardRecallandErrorBack -
PropagationTraining,LearningFactor


0
6



0
5 Uncertainty: uncertainty, representation of knowledge in uncertain
domain,semanticsofbeliefnetwork,Representingignorance -Dempster -shafertheory.
Representingvagueness :Fuzzysetsand fuzzylogics,FuzzyRelations,FuzzyFunction,FuzzyMe
asures,Probabilities&possibilities.FuzzyModelingandapplicationsofFuzzyControl,Neuralandf
uzzymachineIntelligence.Representingdecisionproblems,Usingdecisionnetworks,
makingsimpledecisionandcomplexdecision.


0
6




0
6 GeneticAlgorithm: Simplegeneticalgorithm,Simulationbyhands,similaritytemplates(Schemat
a),Mathematicalfoundations,SchemaProcessingatwork.Thetwo -armedandk -
armedBanditProblem,Thebuildingblockhypothesis,TheminimalDeceptiveProblem.
Computer implementationofGeneticalgorithm,DataStructures,Reproduction,CrossoverandMu
tation.TimetoreproduceandtimetoCrossMapping,Objectivefunctiontofitness,form,Fitnessscali
ng.Applicationsofgeneticalgorithm,De -
JongandFunctionOptimization,Improvementinbasictechniques .
IntroductiontoGeneticsbasedmachineLearningitsapplications.



0
6

Assessment :
Internal:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest (onminimumTwoModul
es)andtheotheriseitheraclasstestorassignmentonliveproblemsorcourseproject.


EndSemesterTheoryExamination:
Someguidelinesforsettingupthequestionpaper.Minimum 80%syllabusshouldbecoveredinquestion
papers of end semester examination. In question paper weightage of each module will
beproportionaltonumberofrespectivelecturehoursas mentioninthesyllabus.
1. Questionpaperwillcompriseoftotalsixquestion
2. Allquestioncarryequalmarks

Page 21

3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
thenpart(b)willbefromanymodule otherthanmodule 3)
4. OnlyFourquestionsneedtobe solved.

References:
1. ArtificialIntelligence,AmodernapproachByStaurtJRusselandPeterNorvig,byPrenticeHallI
nc,1995.NewJersey.
2. IntroductiontoArtificialintelligenceByEugeneCharniak,DrewMcDermottAddisonWesleyArt
ificialNeuralNetworks -B.Yegnanarayana,PHI,1999.
3. GeneticAlgorithmsinsearch,Optimization&MachineLearningbyDavidEGoldberg -
AddisonWesley
4. DataMiningbyPieterAdriaansandDoltZantinge -PearsonEducationAsia
5. DataWarehousingintheRealWorldbySamAnahoryandDennisMurray.

Page 22

Course Code Course Name Credits
CCPE1012 Smart Materials 03

Objectives
1. To study the working principles of various smart materials.
2. To identify applicability of various smart materials as actuator and sensor.
3. To study advances in smart materials

Outcomes: Learner will be able to…
1. Understand working of smart materials and their application as actuator and sensor.
2. Select an appropriate smart material for a given application.
3. Identify applicability of smart materials for new prospective smart structures

Module Detailed Contents Hours
01 Introduction to Smart Materials: Overview of the different types of Smart
Materials, Smart materials used in structures, smart material for sensors,
actuators controls, memory and energy storage and their inter -relationships. 06
02 Important Concepts of Smart Materials: Artificial skins, Artificial muscles,
Biomimetic materials, materials with tunable responses, non -linear properties,
self-healing materials, adaptive structures, self -replicating materials/structures,
self-assembly, i nch worm devices, hysteresis, integrated sensing and actuation. 08
03 Overview of the following materials with focus on synthesis,
constitutive / governing relationships, strengths and weaknesses, and
applications.
1. Piezoelectric Materials
2. Magnetostrictive Materials
3. Shape Memory Alloys
4. Electroactive Polymers 08
04 Overview of the following materials with focus on synthesis, strengths and
weaknesses, and applications.
1. Ferrofluids and Magneto rheological Fluids and applications in dampers
2. Soft Matter and its applications as smart skins, smart textiles etc
3. Carbon Nanotubes and Carbon nano -structures and its applications
4. Thermoelectric Materials and Peltier devices 06
05 Smart Materials for Energy Applications: Materials used for energy storage,
Hydrogen Storage Materials, Energy harvesting, Energy scavenging from
vibrations. 04
06 Composite Materials: Introduction to Composite Materials, Nano Composite
Materials, Soft conducting and magnetic solids, active fiber composites, Self -
heating cement/ polymer matrix composites. 04

Assessment :

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

Page 23

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

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

References:
1. M.V . Gandhi and B.S. Thompson, ―Smart Materials and Structures‖, Chapman & Hall,
London; New York, 1992 (ISBN: 0412370107)
2. Mel Scwartz, ―Encyclopedia of Smart Materials V ol. I and II‖, John Wiley & Sons
3. SenolUt ku, ―Theory of Adaptive Structures : Incorporating Intelligence into Engineered
Products‖, CRC Press
4. A.V . Srinivasan, ―Smart Structures: Analysis and Design‖, Cambridge University
Press,Cambridge;
New York, 2001 (ISBN: 0521650267)
5. G. Gautschi , ―Piezoelectric Sensorics: Force, Strain, Pressure, Acceleration and Acoustic
Emission
Sensors, Materials and Amplifiers‖, Springer, Berlin; New York, 2002 (ISBN:3540422595)
6. K. Uchino, ―Piezoelectric Actuators and Ultrasonic Motors‖, Kluwer Academic Pu blishers,
Boston, 1997 (ISBN: 0792398114)
7. G. Engdahl, ―Handbook of Giant Magnetostrictive Materials‖, Academic Press, San Diego,
Calif.; London, 2000 (ISBN: 012 238640X)
8. K. Otsuka and C.M. Wayman, ―Shape Memory Materials‖, Cambridge University Press,
Cambridge; New York, 1998 (ISBN: 052144487X)
9. Eric Udd, ―Fiber Optic Sensors: An Introduction for Engineers and Scientists‖, John Wiley
&Sons, New York, 1991 (ISBN: 0471830070)
10. André Preumont, ―Vibration Control of Active Structures: An Introduction‖, 2n d
Edition, Kluwer Academic Publishers, Dordrecht; Boston, 2002 (ISBN: 1402004966)
11. HojjatAdeli, ―Control, Optimization, and Smart Structures: High -Performance Bridges
and Buildings of the Future‖, John Wiley, New York, 1999 (ISBN: 047135094X)
12. T.T. Soong , ―Passive Energy Dissipation Systems in Structural Engineering‖, Wiley,
Chichester; New York, 1997 (ISBN: 0471968218)
13. V .K. Wadhawan, Smart Structures: Blurring the Distinction Between the Living and
Nonliving, Oxford University Press, Oxford (2007)
14. H.T. Banks, R.C. Smith and Y Wang, ― Smart Structures: Modeling, Estimation and
Control” , Wiley, New York (1996)
15. Shape Memory Alloys , (ed) D.C. Lagoudas, Springer Science (2008)
16. S.K. Ghosh , ― Self-healing Materials: Fundamentals, Design Strategies and
Applications, Wiley -VCH Verlag GmbH and Co. (2009)
17. Kwang J Kim and Satoshi Tadokore, “Electroactive Polymers for Robotic Applications:
Artificial Muscles and Sensors ‖, Springer -Verlag, London (2 007)
18. S Priya and D J Inman, ― Energy Harvesting Technologies” , Springer -Verlag (2008)
19. MoriakiWakaki, ― Optical Materials and Applications ‖, CRC Press (2012)
20. S.S. Ray and M Bousmina, ― Polymer Nanocomposites and their Applications” ,
American Scientific P ublishers (2008)

Page 24

Course Code Course Name Credits
CCPE1013 Simulation and Modelling 03

Objectives
1. The primary objective of this course is to provide an insight into how simulation modeling
can aid in effective decision -making.
2. It provides students with the basic system concept and definitions of system techniques to
model and to simulate various systems, the ability to analyze a system and to make use of
the information to improve the performance.

Outcomes: Learner will be abl e to,
1. Understand the system concept and apply functional modeling method to model the
activities of a static system;
2. Simulate the operation of a system and make improvement according to the simulation
results.

Module Detailed content Hours
1


Principle of computer modelling and simulation:
Monte Carlo simulation. Nature of computer - modeling and
simulation. Limitations of simulation, areas of applications.
Components of a system - discrete and continuous systems,
Models of a system -a variety of modeling
Approaches. 04



2





Discrete Event Formalisms
Concepts of discrete event simulation, model components, a discrete
event system simulation, simulation world views or formalisms.
Characteristics of queueing systems, queueing notations, long run
measures of performance of queueing systems, Steady state b ehaviour
of Markovian models (M/G/1, M/M/1,
M/M/c) overview of finite capacity and finite calling population
models, Network of Queues simulation of single channel queue, multi
channel queue, inventory system and dump truck problem using event
scheduling approach. 08



3



Statistical Models in Simulation Overview of probability and statistics, useful statistical model, discrete distribution, continuous distribution, empirical d istribution and Poisson process. Discrete uniform -distribution Poisson distribution -geometric distribution - acceptance -rejecti on technique for
Poisson distribution gamma distribution. 06


4


RANDOM NUMBER GENERATION: Techniques for generating
random numbers - Mid square method -the mod product method -
Constant multiplier technique -Additive congruential method -Linear
congruential method -Tests for random numbers -The Kolmogorov -
Smimov test -the Chi -square test.
RANDOM VARIABLE GENERATION: Inversion transforms
technique -exponential distribution. uniform distribution, Weibull
distribution, continuous distribution, gene rating approximate normal
variates -Erlang distribution. 06

Page 25

5
Input Modeling
Introduction, steps to build a useful model of input data, data
collection, identifying the distribution with data, parameter
estimation, suggested estimators, goodness of fit tests, selection input
model without data, covariance and correlation, multivariate and time
series input models 06


6






Verification and Validation of Simulation Model
Introduction, model building, verification of simulation models,
calibration and validation of models: - validation process, face validity,
validation of model, validating input -output transformation, t -test,
power of test, input output validation u sing historical data and Turing
test.
Output Analysis
Types of simulations with respect to output analysis, stochastic nature
of output data, measure of performance and their estimation, output
analysis of terminating simulators, output analysis for steady state
simulation. variance reduction techniques -antithetic variables,
variables -verification and validation of simulation models. 06







Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester exami nation. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. Banks J., Carson J. S., Nelson B. L., and Nicol D. M., ―Discrete Event System
Simulation‖, 3rd edition, Pearson Education, 2001.
2. Gordon Geoffrey, ―System Simulation‖, 2nd edition, PHI, 1978.
3. Law A. M., and Kelton, W. D., ―Simulation Modeling and Analysis‖, 3rd edition,
McGrawHill, 2000.
4. NarsingDeo, ―System Simulation with Digital Computer‖, PHI.
5. Frank L. Severance, ―System Modeling and Simulation‖
6. Trivedi K. S., ―Probability and Statistics with Reliability, Queueing, and Computer Scienc e
Applications‖, PHI, 1982.
7. Wadsworth G. P., and Bryan, J. G., ―Introduction to Probability and Random Variables‖,
McGraw -Hill, 1960.
8. Donald W. Body, ―System Analysis and Modeling‖, Academic Press Harcourt India.
9. Bernard, ―Theory OfModeling and Simul ation‖
10. Levin & Ruben, ―Statistics for Management‖
11. Aczel and Sounderpandian, ―Business Statistics‖

Page 26

Course Code Course Name Credits
CCPE1021 Micro Electro Mechanical Systems 03

Course Prerequisite:
Sensors, Actuators, Instrumentation system and VLSI Technology

Objectives
1. To understand the basic characteristics of MEMS and its processing steps.
2. To demonstrate the use of semiconductor based processing modules used in the
fabrication of variety of sensors and actuators (e.g. pressure sensors,
accelerometers, etc.) at the micro -scale.
3. To understand the of basic design and operation of MEMS sensors and actuators
with proper characterization.
4. To make use of the MEMS devices for real time applications.

Outcomes: Learner will be able to
1. Understand the underlying fundamental principles of MEMS devices including
physical operation, mathematical modeling.
2. Select the appropriate material and processes while fabrication of MEMS devices.
3. Design and simulate MEMS devices and system using standard simulation tools.
4. Develop different concepts of micro system sensors and actuators for real -world
applications.

Module Detailed contents Hours

1 Introduction to MEMS
4 Introduction to MEMS & its characteristics, Real world Sensor/Actuator
examples (DMD, Air -bag, pressure sensors). MEMS Sensors in Internet
of Things (IoT), BioMedical Applications


2 MEMS Materials and their Properties

6 Materials (eg. Si, SiO2, SiN, Cr, Au, Ti, SU8, PMMA, Pt); Important
properties: Young modulus, Poisson‘s ratio, density, piezoresistive
coefficients, TCR, Thermal Conductivity, Material Structure.
Understanding Selection of
materials based on applications

3 Fabrication Processes common to MEMS
6 Understanding MEMS Processes & Process parameters for: Cleaning,
Growth & Deposition, Ion Implantation & Diffusion, Annealing,
Lithography. Understanding selection of Fab processes based on
Applications


4 MEMS Specific Fabrication Processes

8 Understanding MEMS Processes & Process parameters for: Wet & Dry
etching,
Bulk
& Surface Micromachining, Die, Wire & Wafer Bonding, Dicing,
Packaging. Understanding selection of Fab processes based on
Applications


5 MEMS Devices: Architecture and working

6 basic quantitative behaviour of Cantilevers, Micro -heaters,
Accelerometers, Pressure Sensors, Micro -mirrors in DMD, Inkjet
printer -head. Understanding steps involved in Fabricating above devices.

Page 27

Piezoresistance, TCR, Stiffness, Adhesion, Vibration, Resonant
frequency, & importance of these measurements in studying device
behavior, MEMS Reliability

6 Applications of MEMS devices
6 Industrial applications with detailed understanding of role of MEMS as
sensors and
actuators with proper case studies.

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should
be covered in question papers of end semester examination. In question paper
weightage of each module will be proportional to number of respective lecture
hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a)
from module 3 then par t (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. An Introduction to Microelectromechanical Systems Engineering; 2nd
Ed - by N.Maluf, K Williams; Publisher: Artech House Inc
2. Practical MEMS - by Ville Kaajakari; Publisher: Small Gear Publishing
3. Microsystem Design - by S. Senturia; Publisher: Springer
4. Analysis and Design Principles of MEMS Devices - MinhangBao;
Publisher:Elsevier Science
5. Fundamentals of Microfabrication - by M. Madou; Publisher: CRC Pres s; 2
edition
6. Micro Electro Mechanical System Design - by J. Allen; Publisher: CRC
PressMicromachined Transducers Sourcebook - by G. Kovacs; Publisher:
McGraw -Hill

Page 28

Course Code Course Name Credits
CCPE1022 Optimization 03

Objectives
1. To understand various linear, nonlinear and other optimization techniques.
2. To understand various decision making methods.
Outcomes: Learner will be able to…

1. Formulate the problem as LPP and analyse the sensitivity of a decision variable.
2. Apply various linear and non linear techniques for problem solving in various domain.
3. Apply decision making methods for problem in manufacturing environment and other
domain.

Module Detailed content Hours
1 Basic Concepts: Statement of the Optimization Problem, Basic
Definitions, Optimality Criteria for Unconstrained Optimization
Optimality Criteria for Constrained Optimization,
Engineering Application of Optimization, Overview of
optimization technique, Interdisciplinary nature, Introduction to
related software. 6
2 Linear Programming Problem:
Formulation, Simplex method, Big M Method, Two Phase, Primal
to Dual, Dual Simplex method, Sensitivity Analysis. 6
3 Integer L.P. Model:
Gomory's cutting plane method, Branch & Bound Technique.
Non L.P. Model: Lagrangian method & Kuhn tucker Method. 6
4 Multi Criterion Decision -making (MCDM) Methods:
Introduction to multi criterion optimization, Simple Additive
Weighting (SAW) Method, Weighted Product Method (WPM),
Analytic Network Process (ANP), Analytic Hierarchy Process
(AHP) Method, TOPSIS
Method, PROMETHEE
Multi Objective Decision making (MODM) Methods:
Introduction to Multi objective optimization, Traditional Techniques
such as, quadratic programming, geometric programming,
Numerical on goal programming and dynamic programming. 6
5 Newtonian Method: Newton's method, Marquardt's method,
Quasi Newton method.
Discrete Event Simulation: Generation of Random Variable,
Simulation Processes, Monte -Carlo Technique. 6
6 Robust Design Methods: DOE and Taguchi techniques Response
Surface Method : Response Surface, The Least -Squares Methods,
Two-Level Factorial Design, Addition of Center Points, Central
Composite Design(CCD), Sequential Nature of RSM. 6

Page 29

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. Ranjan Ganguli, "Engineering Optimization - A Modern Approach" Universities Press
2. Pablo Pedregal, "Introduction to Optimization", Springer
3. S.S. Rao, "Engineering Optimization - Theory and Practice", John Wiley and Sons Inc.
4. L.C. Jhamb, "Quantitative Techniques V ol. 1 and 2", Everest Pub. House
5. Pierre D.A., "Optimization, Theory with Application", John Wiley & sons.
6. Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy
Multiple Attribute D ecision Making by R V Rao (Springer Publication).
7. Neural Computation and Self -Organizing Maps by Ritter, H., Martinetz, T., &Schulten,
K., Addison -Wesley Publishing Company.

Page 30

CourseCode CourseName Credits
CCPE1023 AdvancedManufacturingTechnology 03

Objectives
1. Toeducatestudentsaboutnewadvancedmaterials,theirmanufacturingtechniquesandsy
stems.
2. Tounderstandvariousunconventionalmanufacturingtechniques,coatingtechnologiesf
orimprovement ofsurface qualities.
3. Tointegratemanufacturingelementswithinan organizationandunderstandE -
manufacturingandcollaborativemanufacturing.

Outcomes: Learnerwillbeableto…
1. Understandandapplyvariousadvancedmanufacturingtechniques
2. Analyzeandoptimizesystemrequirementsforadvancedmanufacturingsystems
3. Understandtherelevanceofcloud computinginmanufacturingdomainbyintegration
ofmanufacturingelementsandusageofwebbasedelements

Module DetailedContents Hrs


01 IntroductiontoAdvancedManufacturingTechnology
Need,exampleswithatleast2casestudies.
Introductiontovariousprocessesof manufacturingandshapingofmetals,ceramics,plastics,composites,polymers,andnaturalmaterialssuchaswood,rubberetc

4



02 AdvancedManufacturingprocesses –Introduction,Construction,Working principle, Types, Process parameters, problems, merits, demerits and applications
of :ChemicalMachining,UltrasonicMachining,Electro -
ChemicalMachining,ElectricDischargeMachining,ElectronBeamMachining,PlasmaArcMachining,LaserbeamMachiningandIonBeamMachining.


6

03 Surface Treatments – Scope, Cleaners, Methods of cleaning, surface coating
types,Ceramicandorganicmethodsofcoating,economicsofcoating,Electroforming,CVDandPVDcoating,Thermalspraying,IonImplantations,D iffusioncoating,
Diamondcoatingandcladding.
6


04 Advanced Manufacturing Systems : Components of Manufacturing system, Singlestation manufacturing cell, Manual Assembly lines, line balancing
Algorithm, Mixedmodel Assembly lines, Alternative Assembly systems, Automated production lines,Applications, AnalysisofTransferLines.MRP -I&MRP -
II
IntroductiontoRapidmanufacturingandTooling

8

05 IntegrationofManufacturingElements –ProcessFlowDesignandIntroductiontoSimulatedFactoryprojectusingcasestudies.
E-Manufacturing –NanoManufacturingtechniquesand micro -machining,High
speedmachiningandhotmachining
6



06 CollaborativeManufacturing: DefinitionandConcept, AimsofCollaborativeManufacturing,
BusinessProcessChangeConsiderationsforCollaborativeManufacturing Enabling Technologies for Collaborative Manufacturing, Benefits
andLimitationsofCollaborativeManufacturing,CloudManufacturing Methods, ModelsandToolsforEnterpriseInteroperability,
Detailcasestudiesonvariousaspectsof CollaborativeManufacturing


6

Page 31

Assessment :

Internal:
Assessmentconsistsoftwo testsoutofwhich;oneshouldbecompulsoryclasstest (onminimumTwo
Modules) andtheotheriseitheraclasstestorassignmentonliveproblemsorcourseproject.

EndSemesterTheoryExamination:
Someguidelinesforsettingupthequestionpaper.Minimum
80%syllabusshouldbecoveredinquestio n papers of end semester examination. In question
paper weightage of each module will
beproportionaltonumberofrespectivelecturehoursasmentioninthesyllabus.
1. Questionpaperwillcompriseoftotalsixquestion
2. Allquestioncarryequalmarks
3. Questions will be mixed in na ture (for example supposed Q.2 has part (a) from
module 3 thenpart(b)willbefromanymodule otherthanmodule 3)
4. OnlyFourquestionsneedtobesolved.

References:
1. SeropeKalpakjianandStevanR.Schmid –ManufacturingProcessEnggMaterials –2003.
2. BrehemT.Smith,Advanced Machining,I.F.S,UK,1989
3. NarioTaniguchi,NanoTechnology,OxfordUniversityPress,1996
4. HMTManual,Non -TraditionalMachiningMethods
5. Automation,ProductionSystemsandComputerIntegratedManufact
uring –Mikell P. Groover,PHI –3rdEdition,2012
6. MaterialScienceandEngineering –WilliamCallister,JohnWileyandSons
7. Engg.MaterialsTechnology,JamesAJacob,ThomasFKilduff –Pearson
8. MechanicalMetallurgy –GeorgeE.Dieter,McGrawHill,1998
9. ProcessandMaterialsofManufacturing –R.A.Lindburg -PHI1990
10. AdvancedMachiningProcesses –V .K.Jain –AlliedPublications
11. IntroductiontoManufacturingProfesses –JohnASchey,McGrawHill
12. ToyotaProductionSystem,TaichiOhno,ProductivityPress,1988,P.58
13. Womack,JamesP,DanielT.Jones,DanielRoos(1990),TheMachinethatchangedt
heworld.
14. MuammerKoc,JunNi,JayLee,PulakBandyopadhyay,Introductiontoe -
manufacturing,UniversityofMichigan,2005,CRCPress.Pp.97.1 –97.9

Page 32

Course Code Course Name Credits
CCIE 1011 Product Life Cycle Management 03

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

Module Detailed Contents Hrs
01 Introduction to Product Lifecycle Management (PLM): Product Lifecycle
Management (PLM), Need for PLM, Product Lifecycle Phases, Opportunities of
Globalization, Pre -PLM Environment, PLM Paradigm, Importance & Benefits of
PLM,
Widespread Impact of PLM, Focus and Application, A PLM Project, Starting the PLM
Initiat ive, PLM Applications
PLM Strategies: Industrial strategies, Strategy elements, its identification, selection
and implementation, Developing PLM Vision and PLM Strategy , Change
management for PLM 10
02 Product Design: Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product Design, Typologies of Design Process
Models, Reference Model, Product Design in the Context of the Product Development
Process, Relation with the Developm ent Process Planning Phase, Relation with the
Post design Planning Phase, Methodological Evolution in Product Design, Concurrent
Engineering, Characteristic Features of Concurrent Engineering, Concurrent
Engineering and Life Cycle Approach, New Product Dev elopment (NPD) and
Strategies, Product Configuration and Variant Management, The Design for X System,
Objective Properties and Design for X Tools, Choice of Design for X Tools and Their
Use in the Design Process 09
03 Product Data Management (PDM): Product and Product Data, PDM systems and
importance, Components of PDM, Reason for implementing a PDM system, financial
justification of PDM, barriers to PDM implementation 05
04 Virtual Product Development Tools: For components, machines, and manufacturing
plants, 3D CAD systems and realistic rendering techniques, Digital mock -up, Model
building, Model analysis, Modeling and simulations in Product Design,
Examples/Case studies 05
05 Integration of Environmental Aspects in Product Design: Sustainable
Development, Design for Environment, Need for Life Cycle Environmental Strategies,
Useful Life Extension Strategies, End -of-Life Strategies, Introduction of
Environmental Strategies into t he Design Process, Life Cycle Environmental Strategies
and Considerations for Product Design 05

Page 33

06 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and Framework of
LCA, Phases of LCA in ISO Standards, Fields of Application and Limitations of Life
Cycle Assessment, Cost Analysis and the Life Cycle Approach, General Framework
for
LCCA, Evolution of Models for Product Life Cycle Cost Analys is 05

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four qu estion need to be solved.



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

Page 34

Course Code Course Name Credits
CCIE1012 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 v arious aspects of Maintainability, Availability and FMEA procedure
Outcomes: Learner will be able to…
1. Apply the concept of Probability to engineering problems
2. Apply various reliability concepts to calculate different reliability parameters
3. Estimate the system reliability of simple and complex systems
4. Carry out a Failure Mode Effect and Criticality Analysis

Module Detailed Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye‘s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation, Standard
Deviation, Variance, Sk ewness and Kurtosis. 08
02 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time
Dependent Failure Rate, Weibull Model. Distribution functions and reliability analysis. 08
03 System Reliability: System Configurations: Series, parallel, mixed configuration, k out
of n structure, Complex systems. 05
04 Reliability Improvement: Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
System Reliability Analysis – Enumeration method, Cut -set method, Success
Path method, Decomposition method. 08
05 Maintainability and Availability: System downtime, Design for Maintainability:
Maintenance requirements, Design methods: Fault Isolation and self -diagnostics, Parts
standardization and Interchangeability, Modularization and Accessibility, Repair Vs
Replacement.
Availability – qualitative aspects. 05
06 Failure Mode, Effects and Criticality Analysis: Failure mode effects analysis,
severity/criticality analysis, FMECA examples. Fault tree construction, basic symbols,
development of functional reliability block diagram, Fau1t tree analysis and Event tree
Analysis 05

Page 35

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper . Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of tota l six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.



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

Page 36

Course Co de Course Name Credits
CCIE 1013 Management Information System 03

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

Module Detailed Contents Hrs
01 Introduction To Information Systems (IS): Computer Based Information Systems,
Impact of IT on organizations, Importance of IS to Society. Organizational Strategy,
Competitive Advantages and IS. 4
02 Data and Knowledge Management: Database Approach, Big Data, Data warehouse and
Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision Making, BI for Data analysis and
Presenting Results 7
03 Ethical issues and Privacy: Information Security. Threat to IS, and Security Controls 7
04 Social Computing (SC): Web 2.0 and 3.0, SC in business -shopping, Marketing,
Operational and Analytic CRM, E -business and E -commerce – B2B B2C. Mobile
commerce. 7
05 Computer Networks Wired and Wireless technology, Pervasive computing, Cloud
computing model. 6
06 Information System within Organization: Transaction Processing Systems, Functional
Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applications: Various System development life
cycle models. 8

Assessment :

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

Page 37

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.



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

Page 38

Course Code Course Name Credits
CCIE 1014 Design of Experiments 03

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

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

Module Detailed Contents Hrs
01 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design
1.3 Guidelines for Designing Experiments
1.4 Response Surface Methodology 06
02 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regression Models
2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression
2.5 Prediction of new response observation
2.6 Regression model diagnostics
2.7 Testing for lack of fit 08
03 Two-Level Factorial Designs and Analysis
3.1 The 22 Design
3.2 The 23 Design
3.3 The General2k Design
3.4 A Single Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design,
3.6 Blocking in the 2k Factorial Design
3.7 Split -Plot Designs 07

Page 39

04 Two-Level Fractional Factorial Designs and Analysis
4.1 The One -Half Fraction of the 2k Design
4.2 The One -Quarter Fraction of the 2k Design
4.3 The General 2k-p Fractional Factorial Design
4.4 Resolution III Designs
4.5 Resolution IV and V Designs
4.6 Fractional Factorial Split -Plot Designs 07
05 Conducting Tests
5.1 Testing Logistics
5.2 Statistical aspects of conducting tests
5.3 Characteristics of good and bad data sets
5.4 Example experiments
5.5 Attribute Vs Variable data sets 07
06 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
6.3 Robust design examples 04

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question pape r. 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 tot al six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. Raymon d H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3rdedition,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, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scintists , John Wiley and Sons Inc.
ISBN: 0 -471-39054 -2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D.
T.Voss

Page 40

Course Code Course Name Credits
CCIE 1015 Operations Research 03

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

Module Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, , Structure of the Mathematical
Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem, Requirements of
LPP, Mathematical Formulation of LPP, Graphical method, Simplex Method Penalty
Cost Method or Big M -method, Two Phase Method, Revised simplex method,
Duality , Primal – Dual construction, Symmetric and Asymmetric Dual, Weak Duality
Theorem, Complimentary Slackness Theorem, Main Duality Theorem, Dual Simplex
Method, Sensitivity Analysis
Transportation Problem : Formulation, solution, unbalanced Transportation
problem. Finding basic feasible solutions – Northwest corner rule, least cost method
and Vogel‘s approximation method. Optimality test: the stepping stone method and
MODI method. Assignment Proble m: Introduction, Mathematical Formulation of
the Problem, Hungarian Method Algorithm, Processing of n Jobs Through Two
Machines and m
Machines, Graphical Method of Two Jobs m Machines Problem Routing Problem,
Travelling Salesman Problem
Integer Programm ing 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, constant rate service, finite and infinite
population 05
03 Simulation : Introduction, Methodology of Simulation, Basic Concepts, Simulation
Procedure, Application of Simulation Monte -Carlo Method: Introduction, Monte -
Carlo Simulation, Applications of Simulation, Advantages of Simulation, Limitations
of
Simulation 05
04 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Management employment smoothening, capital
budgeting, Stage Coach/Shortest Path, cargo loading and Reliability problems. 05

Page 41

05 Game Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution of games with
saddle points, dominance principle. Rectangular games without saddle point – mixed
strategy for 2 X 2 games. 05
06 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks, EOQ with
Shortage, Probabilistic EOQ Model, 05

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question pape r. 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 tot al six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.


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

Page 42

Course Code Course Name Credits
CCIE 1016 Cyber Security and Laws 03

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

Module Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime and information security, Classifications of cybercrime, Cybercrime and
the
Indian ITA 2000, A global Perspective on cybercrimes. 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg, Cyber
stalking, Cyber café and Cybercrimes, Botnets, Attack vector, Cloud computing,
Proliferation of Mobile and Wireless Devices, Trends in Mobility, Credit Card Frauds
in
Mobile and Wireless Computing Era, Security Challenges Posed by Mobile Devices,
Registry Settings for Mobile Devices, Authentication Service Security, Attacks on
Mobile/Cell Phones, Mobile Devices: Security Implications for Organizations,
Organizational Me asures for Handling Mobile, Devices -Related Security Issues,
Organizational Security Policies and Measures in Mobile Computing Era, Laptops 9
03 Tools and Methods Used in Cyberline
Phishing, Password Cracking, Key loggers and Spywares, Virus and Worms,
Steganography, DoS and DDoS Attacks, SQL Injection, Buffer Over Flow, Attacks on
Wireless Networks, Phishing, Identity Theft (ID Theft) 6
04 The Concept of Cyberspace
E-Commerce , The Contract Aspects in Cyber Law ,The Security Aspect of Cyber Law
,The Intellectual Property Aspect in Cyber Law
, The Evidence Aspect in Cyber Law , The Criminal Aspect in Cyber Law, Global
Trends in Cyber Law , Legal Framework for Electronic Data Interchange Law
Relating to Electronic Banking , The Need for an Indian Cyber Law 8
05 Indian IT Act.
Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals Under the IT
Act, 2000, IT Act. 2008 and its Amendments 6
06 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6

Page 43

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination.
In question paper weightage of each module will be proportional to number of respective lecture hours
as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.


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

Page 44

Course Code Course Name Credits
CCIE 1017 Disaster Management and Mitigation Measures 03

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


Module Detailed Contents Hrs
01 Introduction
1.1Definition of Disaster, hazard, global and Indian scenario, general perspective,
importance of study in human life, Direct and indirect effects of disasters, long term
effects of disasters. Introduction to global warming and climate change. 03
02 Natural Disaster and Manmade disasters:
2.1 Natural Disaster: Meaning and nature of natural disaster, Flood , Flash flood,
drought, cloud burst, Earthquake, Landslides, Avalanches, Volcanic eruptions,
Mudflow, Cyclone, Storm, Storm Surge, climate change, global warming, sea level
rise, ozone depletion
2.2Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Role of growing
population and subsequent industrialization, urbanization and changing lifestyle of
human beings in frequent occurrences of manmade disasters. 09
03 Disaster Management, Policy and Administration
3.1 Disaster management: meaning, concept, importance, objective of disaster
management policy, disaster risks in India, Paradigm shift in disaster management.
3.2 Policy and administration:
Importance and principles of disaster management policies, command and
coordination of in disaster management, rescue operations -how to start with and how
to proceed in due course of time, study of flowchart showing the entire process. 06
04 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation and execution of emergency
management program. Scope and responsibilities of National Institute of Disaster
Management (NIDM) and National disaste r management authority (NDMA) in
India. Methods and measures to avoid disasters, Management of casualties, set up of
emergency facilities, importance of effective communication amongst different
agencies in such situations.
4.2 Use of Internet and softwar es for effective disaster management. Applications of GIS,
Remote sensing and GPS in this regard. 06

Page 45

05 Financing Relief Measures:
5.1 Ways to raise finance for relief expenditure, role of government agencies and NGO‘s
in this process, Legal aspects related to finance raising as well as overall
management of disasters. Various NGO‘s and the works they have carried out in the
past on t he occurrence of various disasters, Ways to approach these teams.
5.2 International relief aid agencies and their role in extreme events. 09
06 Preventive and Mitigation Measures:
6.1 Pre -disaster, during disaster and post -disaster measures in some events in general
6.2 Structural mapping: Risk mapping, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
6.3 Non Structural Mitigation: Community based disaster preparedness, risk transfer and
risk financing, capacity development and training, awareness and education,
contingency plans.
6.4 Do‘s and don‘ts in case of disasters and effective implementation of relief aids. 06

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four q uestion need to be solved.

REFERENCES:
1. ‗Disaster Management‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by O.S.Dagur,
published by Centre for land warfare studies, New Del hi, 2011.
3. ‗Introduction to International Disaster Management‘ by Damon Copolla, Butterworth Heinemann
Elsevier Publications.
4. ‗Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‗Disaster management & rehabilitation‘ by RajdeepDasgupta, Mittal Publications, New Delhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability 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 at national and International level and updated
information available on authentic web sites)

Page 46

Course Code Course Name Credits
CCIE 1018 Energy Audit and Management 03

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

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

Module Detailed Contents Hrs
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy Security,
Energy Conservation and its Importance, Energy Conservation Act -2001 and its
Features. Basics of Energy and its various forms, Material and Energy balance 04
02 Energy Audit Principles:
Definition, Energy audit - need, Types of energy audit, Energy management (audit)
approach -understanding energy costs, Bench marking, Energy performance, Matching
energy use to requirement, Maximizing system efficiencies, Optimizing the input
energy requirements, Fuel and energy substitution. Elements of monitoring& targeting;
Energy audit Instruments; Data and information -analysis.
Financial analysis techniques: Simple payback period, NPV, Return on investment
(ROI), Internal rate of return (IRR) 08
03 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control; Power
factor improvement, Energy efficient equipments and appliances, star ratings.
Energy efficiency measures in lighting system, Lighting control: Occupancy
sensors, daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, inductio n motors,
motor retrofitting, soft starters, variable speed drives. 10
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribution losses, Steam leakages, Steam
trapping, Condensate and flash steam recovery system.
General fuel economy measures in Boilers and furnaces, Waste heat recovery, use of
insulation - types and application. HV AC system: Coefficient of performance, Capacity,
factors affecting Refrigeration and Air Conditioning system performance and savings
opportunities. 10

Page 47

05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on: Motors and variable
speed drive, pumps, HV AC system calculations; Lighting System: Installed Load
Efficacy Ratio (ILER) method, Financial Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non -Conventional and Renewable Energy Sources 03


Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3)
4. Only Four question need to be solved.


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

Page 48

Subject Code Subject Name Credits
CCL 101 Program Lab -I
CAD and Computer Aided Engineering 01

Objectives:
1. Learn concepts of FEA and CFD
2. Learn concepts of 3D -Modeling3.

Outcomes: Learner will be able to…
1. Draft 3D -Modells of Assembly and Individual Components
2. To apply principles of FEA and CFD using appropriate Software.


The laboratory will focus on the following:

Module Detailed Contents Lab
Sessions
01 3D - Modeling, Assembly & Drafting 5
02 Kinematic & Kinetic Analysis of Mechanisms 4
03 Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD)
or Multibody dynamics (MBD) 4

Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal
and external examiners

Page 49

Subject Code Subject Name Credits
CCSBL101 Skill Based Lab -I
Simulation Based Optimization and Data Analytics 02

Objectives:
1. Learn concepts of simulation and Optimization.
2. Learn concepts of Data Analytics
3. Acquire Hands on experience on various simulation tools/optimization tools/Data analytics
tools

Outcomes: Learner will be able to…
1. Simulate Manufacturing Process/Manufacturing Systems using suitable software
2. To optimize various process parameters in Manufacturing Processes/Manufacturing System
3.To apply data analytics tools to results obtained through simulation

The laboratory will focus on simulation of any three of following

Module Detailed Contents Lab
Sessions
01 Simulation of Injection Moulding Process and analysis of simulation results
using suitable optimization technique or data analytics tools 15
02 Simulation of Casting Process and analysis of simulation results using
suitable optimization technique or data analytics tools 15
03 Simulation of Sheet Metal Forming Process and analysis of simulation results
using suitable optimization technique or data analytics tools 15
04 Discrete Event Simulation applied in manufacturing system/logistic/Supply
Chain or 15
05 Predictive Analytics of systems using Techniques like Monte Carlo
Simulation/Markov Chains
(Expected to apply these simulation tools to manufacturing related system) 15

Above list is indicative. Any other simulation tool/optimization tool/analytics tools applied to
suitable problems can be considered
(Here learner is expected to acquire hands on experience on related simulation tool/optimization
tool/Data analytics tool. Learner will document his /her report as case study.
Minimum three case studies are required to be submitted by learner

Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal
and external examiners based on report submitted by learner

Page 50

CourseCode Course Name Credits
CCC201 Industrial Robotics 3

Course Prerequisites:
1. Matrices,
2. Kinematics and Dynamics
Objectives:
1. To get the students acquainted with robotic systems and their applications in flexible or
agile manufacturing.
2. To become Familiar with robotic element / peripherals, their selection and interface
with manufacturing equipment.
3. To explain the basics of robot kinematics.
4. To explain how machine vision and various image p rocessing methods are applied
5. Students should have knowledge of path control and trajectory planning.


Outcomes: Upon completion of the course, learner should be able to —
1. To apply the robot systems and their applications in agile manufacturing.
2. To Understand application of robotic peripherals, their selection and their utility.
3. To have knowledge of basic robot kinematics.
4. Be acquainted with various image processing techniques.
5. To know path control and different trajectory planning.

Module Detailed content Hours
1 Introduction: Evolution Automation & robotics, Laws of Robotics,
Robotic System & Anatomy Classification, Future Prospects.
Robotic Application in Manufacturing:
Material transfer, Machine loading & unloading, Processing
operations, Assembly & Inspectors.
Social Issues and Economics of robotics
Drives: Control Loops, Basic Control System Concepts & Models,
Control System Analysis, Robot Activation & Feedback
Components, Position & Velocity Sensors, Actuators, Power
Transmission System s. 4
2 Robot & its Peripherals:
End Effecters - types, Mechanical & other grippers, Tool as end
effecter
Sensors:
Sensors in Robotics, Tactile Sensors, Proximity & Range Sensors,
Sensor Based Systems
Robotic Cell Design & Control. 4
3 Kinematic Modelling of Manipulator :
Mechanical Structure and Notations, Coordinate Frames,
DenavitHartenberg Notation, Arm Equation of Planer Robot, Four
axis SCARA Robot, TCV , Inverse Kinematics of Planer Robot, Four
Axis SCARA Robot. Inverse Kinematic 8

Page 51

4 Trajectory Planning & Robot Dynamics:
Manipulator Path Control - Linear, Quadratic and Cubic
Interpolation, Work Space Analysis, Robot Dynamics –Lagrangian
Dynamics of one and two link robot arm. 8
5 Machine Vision:
Introduction, Low level & High level vision, Sensing & Digitizing,
Image processing & analysis, Segmentation, Edge detection, Object
description & recognition, Interpretation, Noises in Image, Shape
Recognition , Applications, 7
6 Programming For Robots: Methods, Robot programme as a path in
space, Motion interpolation, level & task level languages, Robot
languages; Programming in suitable languages Characteristics of
robot
Robot Intelligence & Task Planning: Introduction, State space
search, Problem reduction, Use of predictive logic, Means -Ends
Analysis, Problem solving, Robot learning, Robot task planning. 5

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester exami nation. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. Robotics and Control by R. K. Mittal and I J Nagrath, Tata Mcgraw Hill
2. Industrial Robo tics by Groover and Simmers
3. Handbook of Industrial Robotics, Shimon Y . Nof. Wiley Publications, ISBN: 978 -0-
471-17783 -8
4. Robotics , Vision and Control by Peter Corke, Springer
5. Robotics: Control Sensing. Vis. K S Fu,RalphGonzalez,C S G Lee

Page 52

Course Code Course Name Credits
CCC202 Computer Aided Machining (CAM) 03

Course Prerequisites:
Basics machining operation.

Objectives
1. To familiarize with CNC hardware.
2. To familiarize with operation and programming of CNC machines.
3. To familiarize with concepts of computer aided machining and its significance.

Outcomes: Learner will be able to…
1. Write and run CNC program for Turning and Milling.
2. Write program for CNC EDM and wire EDM
3. Do simple hardware designs
4. Do interfacing of drive systems with the machines

Module Detailed Contents Hrs.
01 Introduction to Computer Numerical Control .
History of various NC machines like TNC, NC, CNC, DNC, Elements of CAM ,
Various CNC applications in different industries, Computer control concepts, Data
processing units, Binary execution 4
02 CNC Hardware
Structure of CNC machine tools, Spindle design, Spindle and axis drives, Various
actuation systems and feedback devices like encoder, tachogenerator, etc.
6
03 CNC Control System and Machine Tools.
CNC motion controller, Linear, circular, helical interpolator, Positioning and
contouring control loops, MCU, adaptive control system, CNC machining centre,
turning, grinding, EDM, wire EDM, boring, turn mill and CNC gear cutting, Study
of two control syst ems.
6
04 CNC Tooling.
Latest CNC tool materials and manufacturing, Turning and milling tool geometry,
Tool probing and presetting, Automatic Pallet Changer (APC) and Automatic
Turret Changer (ATC), Study of various probes and special tools.
6
05 CNC Programming.
Part programming fundamentals, Manual part programming methods, Various G &
M codes, Absolute and incremental system, TNRC, Tool length and diameter
compensation, Programming of turning, machining centre and EDM, Use of
canned
cycles, lo op, jump, subroutines
8
06 R Parameter programming, Macros 6

Page 53

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester exami nation. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:
1. P. Radhakrishnan& S. Subramanyan ―CAD/CAM/CIM‖ Willey Eastern Limited
New Delhi.
2. Hans B. Kief and J. Frederick Waters ―CNC‖ Glencae Macmillan / McGraw Hill
3. Steve Krar and Arthar Gill ―CNC Technology and Programming‖, McGraw Hill
Pub. Company, New Delhi.
4. P.N. Rao, N. K. Tewariet el ―CAM‖ Tata McGraw Hill Pub. New Delhi

Page 54

Course Code Course Name Credits
CCPE2011 Product Design 03

Objectives:
1. To understand various approaches to product design and development.
2. To comprehend the numerous DFX principles that are employed in product design.
3. To become acquainted with modern methodologies such as FMEA, value engineering,
concurrent engineering, product life cycle management, robust design, rapid prototyping
etc.
4. To comprehend the economics of product development and design.

Outcomes: Upon completion of the course, learner should be able to —

1. Design and develop products right from the conceptual level.
2. Illustrate various modern approaches like concurrent engineering, product life cycle
management, robust design, rapid prototyping / ra pid tooling.
3. Analyse products based on ergonomics and aesthetic aspects.
4. Evaluate the economic aspects in product development.

Module Detailed content Hours
1 Introduction: Importance of product design, types of design, product
definition, product specifications, product mix, Morphology of design,
phases in product design and development, Market research,
Benchmarking, Concept generation and evaluation methods, product
archit ecture, Supplier involvement in product design, customer centric
product design, Creativity and Idea generation techniques,
importance of Quality Dimensions: Performance, Features, aesthetics,
ergonomics, Reliability, Sustainability, Serviceability, Brand value,
Value Vs cost 8
2 Material selection: Importance, classification material performance
characteristic, selection criteria Ashby Material selection chart. New
developments in materials: Special alloys, Composites and Ceramics.
Process selection: Importance types of manufacturing process and
their classification, Sources of information selection criteria Material
and Process selection Methods, Expert systems. Computer Database
Approach, performance indices decision matrix, AHP and fuzzy
approach i ntroduction to material and process selection software.
Axiomatic design principles and case studies. 6
3 Design Principles: Design for Manufacturing (DFM) and Design for
Assembly (DFA), Designs for Maintainability, Designs for
environment and other DFX principles.
Robust Design: Taguchi Designs, Design of Experiments (DOE)
Designing with plastics: Mechanical behavior, special characteristics
and considerations, Design concepts for plastic product features to be
manufactured by various production process technologies; 6

Page 55

4 Product Ergonomics: Anthropometry, Environmental conditions,
thermal, noise, vibration, displays, illusions, Psycho and psychological
aspects in design, Man -machine information exchange.
Product Aesthetics : Visual awareness, Form elements in context of
product design, Concepts of size, shape and texture, Introduction to
colour and colour as an element in design, Colour classifications and
dimensions of colour, Colour combinations and colour dynamics,
Interaction / communication of colours, Psychological aspects of
colours, generation of products forms with analogies from nature. 4
5 Value Engineering: Product value and its importance, definition, Value
analysis job plan, FAST, case studies.
Modern Applications: Robust design, QFD, Design & process FMEA,
Reverse Engineering, Concurrent engineering & Sequential engineering,
Rapid Prototyping/Additive Manufacturing, Product life cycle
Management techniques 8
6 Economics of Product Development: Methods of cost Estimates,
Cost Comparison, Depreciation, Taxes. Principals of Economy,
Engineering Economy and Design Process, Economic Analysis,
Inflation, Time Value of Money, Numerical on Net Present Value
(NPV) method. Industrial Engineering Approach , parametric
Approach, profitability of investment and Investment Decision
Analysis, Legal and social issues, Patents and IP acts. 4

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. Product Design and Development by Ulirich Karl T. and Eppinger Steven D,
McGraw Hill.
2. Product Design and Manufacturing by A.K.Chitale, R.C.Gupta, PHI.
3. Engineering Design by Dieter George E., McGraw Hill.
4. Design Fun damentals, R. G. Scott.
5. Handboook of Product Design for Manufacturing by Bralla, James G, McGraw
Hill.
6. Product Design by Kevin Otto & Kristin

Page 56

Course Code Course Name Credits
CCPE2012 Advanced Finite Element Analysis 03

Course Prerequisites:
1. Basic calculus
2. Differential Equations

Objectives:
1.To develop proficiency in finite element method after understanding the fundamental principles of
FEM to solve realistic engineering problems in the field of thermal engineering, structural
engineering, vibration analysis, fluid flow, etc.

Outcomes: Learner will be able to…
1. Generate the governing Finite element equations for systems governed by partial
differential equations
2. Solve problems related trusses, heat transfer, free vibrations and fluid flow problems
3. Solve time dependent and / or non -linear p roblems
4. Use commercial software package to perform structural analysis, heat transfer
modeling, fluid flow modeling and interpret the results.

Module Detailed content Hrs.
1





Introduction to FEA, General FEM procedure,
 Approximate solutions of differential equations: FDM method, W -R
technique, collocation least square sub -domain and Galerkin method
 Numerical integration, Gauss quadrature in 2 -D and 3 -D
 Structure of FEA program, Pre and Post processor, commercially
available standard packages, and desirable features of FEA packages.
 Principal of minimum total potential, elements of variational calculus,
minimization of functional, Rayleigh -Ritz method, Formulation of
elemental matrix equation, and assembly c oncepts. 8



2




One Dimensional FEM:
 Coordinate system: Global, local, natural coordinate system.
 Shape functions: Polynomial shape functions, Derivation of shape
functions, Natural co -ordinate and coordinate transformation, Linear
quadratic and Shape functions using Lagrange polynomials
 One dimensional field problems: structural analysis (step -bar, taper -bar).
Structural analysis with temperature effect, Thermal analysis, heat transfer
from composite bar, fins . 6




3


 Trusses, Thermal effects in truss members, Beams.
 Two dimensional finite elements formulations, Three -noded triangular
element, Four -noded rectangular element, Four -noded quadrilateral
element, derivation of shape functions: natural coordinates, triangu lar
elements, and quadrilateral elements.
 Six-noded triangular elements, Eight -noded quadrilateral elements, Nine -
noded quadrilateral element; Strain displacement matrix for CST element 6



4

 Penalty Method, Lagrange methods, Multipoint Constraints
 Concept of Master/Slave entities
 Examples of Contact problems.
 Iso-parametric concepts, basic theorem, Iso -parametric, super -
parametric, sub - parametric elements, Concept of Jacobian

Page 57

5


 Finite element formulation of Dynamics, application to free -vibration
problems, Lump and consistent mass matrices, Eigen value problems.
 Transient dynamic problems in heat transfer
 Introduction to time -integration methods: Implicit and Explicit methods
 Convergence, Impact of Mesh quality on convergence 5


6



 Three dimensional elements: Tetrahedron, Rectangular prism (brick),
Arbitrary hexahedron; Three Dimensional polynomial shape functions,
Natural co - ordinates in 3D,
 Introduction to material models: Introduction to plasticity (V on -Mises
o Plasticity, Hyper –elasticity.
 Errors in FEA, sources of errors, method of elimination, Patch test. 5





Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. O. C. Zienkiewicz, R. L. Taylor & J. Z. Zhu, ―The Finite Element Method its Basis and
Fundamentals‖, Butterworth -Heinemann, Elsevier
2. Reddy J. N., ―Finite Element Method‖, McGraw -Hill
3. S. S. Rao, ―The Finite Eleme nt Method in Engineering‖ , 4th Edition, Academic Press,
Elsevier
4. U. S. Dixit, ―Finite Element Methods for Engineers‖, Cengage Learning
5. P. Seshu, ―Textbook of FE Analysis‖, Prentice Hall
6. Desai and Abel, ―Introduction to Finite Elements Methods‖, CBS Publication
7. Tirupati R. Chandrupatla and Ashok D. Belegundu, ―Introduction to Finite Elements in
Engineering‖
8. Erik Thompson, ―Introduction to Finite Element Methods‖, Wiley India
9. H. Karde stuneer, ―Finite Elements Hand Book‖
10. R. D. Cook, ―Concepts & Applications of Finite Element Analysis‖
11. Bathe K.J., ―Finite Element Procedures in Engineering Analysis‖, Prentice Hall of India
12. Huebener K.H., Dewhirst D.D., Smith D.E. and Byrom T.G., ―The Finite Element Method
for Engineers‖, John Wiley, New York
13. Logan, ―Finite Element Methods‖ Cengage Learning
14. George Buchanan, ―Finite Elements Analysis‖, McGraw Hill
15. C. S. Krishnamoorthy, ―Finite Elements Analysis‖, Tata McGraw -Hill
16. Rober t Cook, ―Concept and Application of Finite Element Methods‖, Wiley India.

Page 58

Course Code Course Name Credits
CCPE2013 Control Engineering 03

Course Prerequisites:
Laplace Transform

Objectives:
1. To impart an advanced understanding of classical controls theory
2. To understand the equivalent mechanical and electrical systems

Outcomes: Upon completion of the course, learner should be able to —
1. Model system and find Transfer function.
2. Check stability of a mechanical system.
3. Understand response of second order system
4. Understand controllability and observability of linear system

Module Detailed content Hours
1 Introduction to control systems. Classification of control system,
Effect of feedback. Mathematical modeling of control systems
(mechanical, electrical systems), concept of transfer function. Block
diagram algebra, and signal flow graphs. 6
2 Time response analysis: Time response of control system, standard
test signal, Time Response Analysis of First and Seco nd order
system, Time Domain specifications. Step response of second order
system. Steady -state errors, static error constants, steady state,
analysis of different type of systems using step. Ramp and parabolic
inputs. Response with P,PI,PD,PID Controller. 8
3 Classification of control systems according to 'TYPE' of systems,
Stability analysis: Introduction to concepts of stability. The Routh
and Hurwitz stability criteria. Relative stability analysis. 6
4 Root locus Techniques. Frequency Response Analysis, Frequency
domain specifications Correlation between time and frequency
response. Polar Plots. Bode Plots, Nyquist Plots, 6
5 State space modeling: Concept of state, state variable, state model.
State space representation using physical and phase variables,
decomposition of transfer function, diagonalisation. State transition
matrix. Transfer function from state model. Controllability and
observably of linear system. 6

Page 59

6 Compensation (Introduction only): Types of compensator, selection
of compensator, Lead, Lag and Lag -Lead compensation. Control
system Components : servomotor, stepper motors, Synchros,
Potentiometer, amplifiers 4


Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. Control System Engineering: by Nagrath LT. and Gopal .M., Wiley Eastern Lid.
2. Modem Control engineering: by K.Ogata, Prentice Hall.
3. Benjamin C. Kuo, Automatic Control Systems, Pearson education, seventh edition.
4. MadanGopal, Control Systems Principles and Design, Tata McGraw Hill, seventh
edition, 1997
5. Nise, control system Engineering, John wiley& sons, 3rd edition

Page 60

Course Code Course Name Credits
CCPE2021 Rapid Manufacturing 03

Course Prerequisites:
1. CAD Modelling

Objectives:
1. To become familiar with different rapid manufacturing techniques.
2. To familiarize with a variety of software tools for product design and development using rapid
manufacturing processes.
3. To familiarize with how these techniques are used in various technical and biomedical
disciplines.
Outcomes: Learner will be able to...
1. Demonstrate knowledge of different rapid manufacturing techniques.
2. Gain experience in product design and development using rapid manufacturing technology.

Module Detailed Contents Hrs
01 Rapid Manufacturing
• Historical Development
• Additive, Subtractive and Formative Manufacturing
• Applications: Design, Planning, Manufacturing and Tooling
• Applications: Automotive, Aerospace, Electronics, Jewelry,
BioMedical
• Fundamentals of Rapid Prototyping and Manufacturing, Design
Process
• Rapid Prototyping and Manufacturing Process Chain
• Classification of Additive Manufacturing Processes 5
02 Rapid Manufacturing System and Methodology
• Subsystems of RP machine
• Optical System
• Mechanical Scanning System
• Computer Interfacing hardware, DAQs
• Signal Flow, 3D Model to RP Prototype
• Introduction to 3D ModelingSoftwares (Auto -CAD, PROE,
CATIA, SOLIDWORKS, IDEAs etc.)
• File Formats: IGES, STEP, DXF, STL
• Slicing and Scan Path Generation Algorithms
• Data Conversion and Transmission
• Data Validity and Repair
• Preprocessing and Post -processing
• Properties of the prototype/part: Material properties, color,
dimensional accuracy, stability, surface finish, machi nability,
environmental resistance, operational properties 7

Page 61

03 Liquid Based Rapid Prototyping Systems
• Materials
• Stereolithography
• Solid Ground Curing
• Solid Object UV (Ultra -Violet) Printer
• Micro -stereolithography 6
04 Solid Based Rapid Prototyping Systems
• Materials
• LOM (Laminated Object Manufacturing) System
• FDM (Fused Deposition Modeling) System
• Multi -Jet Modeling (MJM) System
• Model Maker and Pattern Master
• Shape Deposition Manufacturing Process 6
05 Powder Based Rapid Prototyping Systems
• Materials
• SLS (Selective Laser Sintering)
• (3DP) Three -Dimensional Printing
• (LENS) Laser Engineered Net Shaping
• (MJS) Multiphase Jet Solidification
• (EBM) Electron Beam Melting 6
06 Advances in Rapid Manufacturing and Case Studies
Advances in Rapid Manufacturing: Resolution & Accuracy issues, Integrated
Hardening Process, Reverse Engineering Process and Applications, Metal
Additive Manufacturing, Two Photon Process for Micro/Nano F abrication,
Printing with Biocompatible Materials,
Case Study: Investment Casting with RP
Case Study: Wind -Tunnel Testing with RP Models,
Case Study: Manufacture of Human implants and prosthesis 6

Assessment :

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

End Semester Theory Examination:
Some guidelines for set ting 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 p aper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four questions need to be sol ved.

Page 62

References:
• Chua C.K., Leong K.F., and Lim C.S., ―Rapid Prototyping Principles and Applications‖,
World Publishing Co. Pte. Ltd.
• Gibson, D.W. Rosen, and B. Stucker, ―Additive Manufacturing Technologies Rapid
Prototyping to Direct Digital Manufac turing‖, 2010, Springer Inc.
• Ali Kamrani, Emad Abouel Nasr, ―Rapid Prototyping Theory and Practice‖, 2006,
Springer Inc.
• BopayaBidanda, Paulo J. Bartolo, ―Virtual Prototyping and Bio Manufacturing in Medical
Applications‖, 2008, Springer Inc.
• Rafiq Noorani, Rapid Prototyping: Principles and Applications, John Wiley & Sons, Inc.,
2006, ISBN 0 -471-73001 -7
• James O. Hamblen, and Michael D. Furman, ―Rapid Prototyping of Digital Systems‖,
Kluwer Academic Publishers.
• Kenneth G. Cooper, ―Rapid Prototyping Technology Selection and Application‖, 2001,
Marcel Dekker Inc, New York.

Page 63

Course Code Course Name Credits
CCPE2022 Sustainable Manufacturing 03

Objectives
1. To study sustainable principles in Manufacturing operations
2. To improve sustainability in present manufacturing systems.
3. To study innovation and research in sustainable manufacturing

Outcomes: Learner will be able to…
1. Understand basic principles of sustainable developments for social, economical and
technological growth of nation and to be aware of SDGs.
2. To identify, evaluate, and improve the sustainability of manufacturing
3. To research, innovate and design sustainable manufacturing, services for future needs.

Module Detailed Contents Hrs.
01 Introduction: A brief history of Manufacturing, Commerce and
Sustainability. 3 pillars of Sustainability, What is Sustainable Development
and its goals – SDGs, Relationship between workplace organization, inventory
levels and sustainability, Green Expe ctations and Green Movement. 06
02 Waste Management: Types and categories of Industrial Wastes? Processing
Techniques of Waste. Description of types of Manufacturing Wastes. Bio -
Processing methods. Implication of 3R principles of Waste Management in
Industry, Government Regulations and Subsidies provided for Waste
Management (Case studies) 06
03 Potential health and environmental effects of International trade and
manufacturing operations, Principles of pollution prevention, industrial
ecology, environmental and life -cycle assessments , Recommendations for risk
management in manufacturing. 06
04 Environment friendly materials : Materials for sustainability, alternative
manufacturing practices , materials and selection of manufacturing processes ,
control on use of renewable materials , Bio -degradable materials, recycling of
materials. Introduction to Environmental and economic effects of a good new
product development process 06
05 Energy Management: renewable energy, Innovations in generation,
conservation, recycling and usage of energy. Energy audit and implications.
Sustainability Awareness: sustainability rating schemes, eco -labelling
programmes, human values and professional ethics in sustainable
manufacturing. Encouraging innovations in sustainable manufacturing (Case
studies) 06

Page 64

06 Continuous Improvement and Sustainability : Importance and some
recommendations on how to implement a continuous improvement project ,
Recommendations to enhance employee involvement in any continuous
improvement project, Some recommended practices when implementing a
continuous improvement project , Relationship between continuous
improvement and sustainability 06

Assessment :

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

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

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

References:
1. Strategic Management of Sustainable manufacturing operations (Advances in logistics
operations & Management) By. Rameshwar Dubey &AngappaGunabekaran by Imuste
Productivity press.
2. Analysis for Smart energy managemen t: Tools and applications for sustainable manufacturing.
By Seog -chanoh and Alfred. J. Hildreth , Springer Series.
3. Advances in sustainable Manufacturing By Gunther Seliger and Marwan M.K. khraishah,
Springer Series
4. Green Management by M.Karpagam, Geetha J aikumar, Ane Books Pvt.Ltd.
5. Design for Environment: A guide to sustainable Product Development.
6. Sustainable Development By M.K. Ghosh Roy Ane Books Pvt.Ltd
7. Palevich, Robert. "The Lean Sustainable Supply Chain: How to Create a Green Infrastructure
with Lean Technologies". FT Press, 2012

Page 65

Course Code Course Name Credits
CCPE2023 Internet of Things 03

Course Prerequisites:
1. Mechatronics basics, Microprocessor

Objectives:
1. To provide the students with the basic knowledge and technical understanding in the field
of Internet of Things (IoT)
2. To Study core IoT Functional Stack
3. To understand the various application protocols commonly used for IoT
4. To study the Hardware and Soft ware platforms used for implementing IoT in Projects
Outcomes: Upon completion of the course, learner should be able to —
1. Understand IoT and Various associative Technologies
2. Implement Core IoT Functional Stack and Understand Application Protocols
3. Apply IoT technologies to key Industries
4. Examine various Hardware and software platforms used in IoT

Module Detailed content Hours
1 Introduction and application to Internet of Things: Need of IoT, history of
IOT, Impact of IOT – Roadways, factory building and Smart creatures, ,
IoT Challenges, Objects of IOT , the Iot World Forum Standard
Architecture Level of IOT, Technologies in IOT, 6
2 Sensors/Transducers – Definition, Principles, Classifications, Types,
Characteristics and Specifications, Ac tuators -– Definition, Principles,
Classifications, Types, Characteristics and Specifications Smart Object –
Definition, Characteristics and Trends, 6
3 Sensor Networks – Architecture of Wireless Sensor Network, Network
Topologies, Wireless Technologies Supporting IoT: Protocol
Standardization for IoT, Machine to machine (M2M) and WSN
protocols, Basics of RFID , RFID Protocols, Issues with IOT
Standardiza tion, Protocols – IEEE 802.15.4, Zigbee, IPv6 Technologies
for IOT 8
4 Data Analytics for IOT: Introduction Apache Hadoop, Using Hadoop
MapReduce for Batch Data Analysis, Apache Oozie, Apache Spark,
Apache Storm, Using Apache Storm for Real Tie Data Analysis, Structural
Health Monitoring, Case Study :Chef Case Study, puppet C ase Study 6
5 Introduction to Cloud Computing, Difference between Cloud Computing
and FOG Computing: The Next Evolution of Cloud Computing, Role of
Cloud Computing in IOT, Connecting Iot to Cloud, Cloud Storage for IoT
Challenge in Integration of IoT with Cloud 6

Page 66

6 Domain Specific IoT : Home Automation – Smart Lighting, Smart
Appliances, Intrusion Detection, Smoke/Gas Detectors, Cities – Smart
Parking, Smart Lighting, Smart Roads, Structural Health Monitoring,
Surveillance, Environment – Weather Monitoring, Air Pollution
Monitoring, Noise Pollution Monitoring, Forest Fire Detection, River
Floods Detection, Energy – Smart Grids, Renewable Energy Systems,
Prognostics, Retail – Invento ry Management, Smart Payments, Smart
Vending Machines, Logistics – Route Generation & Scheduling, Fleet
Tracking, Shipment Monitoring, Agriculture – Smart Irrigation, Green
House Control, Industry – Machine Diagnostics & Prognosis, Indoor Air
Quality Monit oring, Health & Lifestyle – Health & Fitness Monitoring,
Wearable Electronics 4

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. David Hanes, Gonzalo Salgueiro, Patrick Grossetete, Rob Barton, Jerome Henry, ―IoT
Fundamentals – Networking Technologies, Protocols, and Use Cases for the Internet of
Things‖, 1 st Edition, Published by Pearson Ed ucation, Inc, publishing as Cisco Press, 2017.
2. HakimaChaouchi, ―The Internet of Things - Connecting Objects to the Web‖, 1 st Edition,
Wiley, 2010.
3. Perry Lea, ―Internet of things For Architects‖, 1 st Edition, Packt Publication, 2018
4. ArshdeepBahga, Vijay M adisetti, ―Internet of Things – Hands -On Approach‖, 2 nd Edition,
Universities Press, 2016.
5. Adrian McEwen & Hakim Cassimally, ―Designing the Internet of Things‖, 1 st Edition, Wiley,
2014.
6. Donald Norris, ―Raspberry Pi – Projects for the Evil Genius‖, 2 nd Edition, McGraw Hill,
2014.
7. Anand Tamboli ,―Build Your Own IoT Platform‖, 1 st Edition, Apress, 2019.

Page 67

Course Code Course Name Credits
CCIE2011 Project Management 03

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

Outcomes: Learner will be able to…
1. Apply selection criteria and select an appropriate project f rom different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with them
strategically.
4. Use Earned value technique and determine & predict status of the project.
5. Capture lessons learned during project phases and document them for future reference
Module Detailed Contents Hrs
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Necessity of project management, Triple
constraints, Project life cycles (typical & atypical) Project phases and stage gate
process. Role of project manager. Negotiations and resolving conflicts. Project
management in various organization structures. PM knowledge areas as per Project
Management Institute (PMI). 5
02 Initiating Projects:
How to get a project started, Selecting project strategically, Project selection models
(Numeric /Scoring Models and Non -numeric models), Project portfolio process,
Project sponsor and creating charter; Project proposal. Effective project team, Stages
of team development & growth (forming, sto rming, norming & performing), team
dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface
Co-ordination and concurrent engineering, Project cost estimation and budgeting, Top
down and bottoms up budgeting, Networking and Scheduling techniques. PERT, CPM,
GANTT chart. Introduction to Project Management Information System (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and leveling, Goldratt's critical chain, Project
Stakeholders and Communication plan.
Risk Management in projects: Risk management planning, Risk identification and risk
register. Qualitative and quantitative risk assessment, Probability and impact matrix.
Risk response strategies for positive and negative risks 6
05 5.1 Executing Projects:
Planning monitoring and controlling cycle. Information needs and reporting, engaging
with all stakeholders of the projects.
Team management, communication and project meetings.
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed; Using
milestones for measurement; change requests and scope creep. Project audit.
5.3 Project Contracting
Project procurement management, contracting and outsourcing, 8

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06 6.1 Project Leadership and Ethics:
Introduction to project leadership, ethics in projects.Multicultural and virtual projects.
6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, Starvation), Process of project
termination, completing a final report; doing a lessons learned analysis; acknowledging
successes and failures; Project management te mplates and other resources; Managing
without authority; Areas of further study. 6

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

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

Page 69

Course Code Course Name Credits
CCIE 2012 Finance Management 03

Objectives:
1. Overview of Indian financial system, instruments and market
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and
its management
3. Knowledge about sources of finance, capital structure, dividend policy
Outcomes: Learner will be able to…
1. Understand Indian finance system and corporate finance
2. Take investment, finance as well as dividend decisions
Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components and Functions of
Financial System.
Financial Instruments: Meaning, Characteristics and Classification of Basic
Financial Instruments — Equity Shares, Preference Shares, Bonds -Debentures,
Certificates of Deposit, and Treasury Bi lls.
Financial Markets: Meaning, Characteristics and Classification of Financial Markets
— Capital Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning, Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment -Merchant Banks and Stock Exchanges 06
02 Concepts of Returns and Risks: Measurement of Historical Returns and Expected
Returns of a Single Security and a Two -security Portfolio; Measurement of Historical
Risk and Expected Risk of a Single Security and a Two -security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and Annuity
Due; Present Value of a Lump Sum, Ordinary Annuity, and Annuity Due; Continuous
Compounding and Continuous Discounting. 06
03 Overview of Corporate Finance: Objectives of Corporate Finance; Functions of
Corporate Finance —Investment Decision, Financing Decision, and Dividend Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance Sheet, Profit
and Loss Account, and Cash Flow Statement; Purp ose of Financial Ratio Analysis;
Liquidity Ratios; Efficiency or Activity Ratios; Profitability Ratios; Capital Structure
Ratios; Stock Market Ratios; Limitations of Ratio Analysis. 09
04 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for Capital
Budgeting Decisions; Investment Appraisal Criterion —Accounting Rate of Return,
Payback Period, Discounted Payback Period, Net Present Value(NPV), Profitability
Index, Internal Rate of Return (IRR), and Modified Internal Rate of Return (M IRR)
Working Capital Management: Concepts of Meaning Working Capital; Importance
of Working Capital Management; Factors Affecting an Entity‘s Working Capital
Needs; Estimation of Working Capital Requirements; Management of Inventories;
Management of Receiv ables; and Management of Cash and Marketable Securities. 10

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05 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids; Mezzanine
Finance; Sources of Short Term Finance —Trade Credit, Bank Finance, Commercial
Paper; Project Finance.
Capital Structure: Factors Affecting an Entity‘s Capital Structure; Overview of
Capital Structure Theories and Approaches — Net Income Approach, Net Operating
Income Approach; Traditional Approach, and Modigliani -Miller Approach. Relation
between Capital St ructure and Corporate Value; Concept of Optimal Capital Structure

05
06 Dividend Policy: Meaning and Importance of Dividend Policy; Factors Affecting an
Entity‘s Dividend Decision; Overview of Dividend Policy Theories and Approaches —
Gordon‘s Approach, Walter‘s Approach, and Modigliani -Miller Approach 03

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester exami nation. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

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

Page 71

Course Code Course Name Credits
CCIE 2013 Entrepreneurship Development and Management 03

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

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

Page 72

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

End Semester Theory Examination:
Some guidelines for set ting 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 p aper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be sol ved.

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

Page 73

Course Code Course Name Credits
CCIE 2014 Human Resource Management 03

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

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

Module Detailed Contents Hrs
01 Introduction to HR
• Human Resource Management - Concept, Scope and Importance,
Interdisciplinary Approach Relationship with other Sciences, Competencies of HR
Manager, HRM functions.
• Human resource development (HRD): changing role of HRM –
Human resource Planning, Technologi cal change, Restructuring and
rightsizing, Empowerment, TQM, Managing ethical issues. 5
02 Organizational Behavior (OB)
• Introduction to OB Origin, Nature and Scope of Organizational
Behavior , Relevance to Organizational Effectiveness and Contemporary
issues
• Personality: Meaning and Determinants of Personality,
Personality development, Personality Types, Assessment of Personality
Traits for Increasing Self Awareness
• Perception: Attitude and Value, Effect of perception on
Individual Decisionmaking, Attitude and Behavior.
• Motivation: Theories of Motivation and their Applications for
Behavioral Change (Maslow, Herzberg, McGregor);
• Group Behavior and Group Dynamics: Work groups formal and
informal groups and stages of group development. Team Effectiveness:
High performing teams, Team Roles, cross functional and self -directed
team.
• Case study 7
03 Organizational Structure &Design
• Structure, size, technology, Environment of organization;
Organizational Roles & conflicts: Concept of roles; role dynamics; role
conflicts and stress.
• Leadership: Concepts and skills of leadership, Leadership and
managerial roles, Leadership styles and c ontemporary issues in
leadership.
• Power and Politics: Sources and uses of power; Politics at
workplace, Tactics and strategies. 6

Page 74

04 Human resource Planning
• Recruitment and Selection process, Job -enrichment,
Empowerment - JobSatisfaction , employee morale.
• Performance Appraisal Systems: Traditional & modern methods,
Performance Counseling, Career Planning. 5
 Training & Development: Identification of Training Needs, Training Methods
05 Emerging Trends in HR
• Organizational development; Business Process Re -engineering
(BPR), BPR as a tool for organizational development , managing
processes & transformation in HR. Organizational Change, Culture,
Environment
• Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and diversity at work , Causes of diversity, managing diversity with
special reference to handicapped, women and ageing people, intra company cultural
difference in employee motivation. 6
06 HR & MIS
Need, purpose, objective and role of information system in HR, Applications in HRD
in various industries (e.g. manufacturing R&D, Public Transport, Hospitals, Hotels and
service industries Strategic HRM
Role of Strategic HRM in the modern business world, Concept of Strategy, Strategic
Management Process, Approaches to Strategic Decision Making; Strategic Intent –
Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations
Evolution of IR, IR issues in organizations, Overview of L abor Laws in India;
Industrial
Disputes Act, Trade Unions Act, Shops and Establishments Act 10

Assessment :

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

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

Page 75

Course Code Course Name Credits
CCIE 2015 Professional Ethics and Corporate Social
Responsibility (CSR) 03

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

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

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

Page 76

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 respe ctive lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any modu le other than module 3)
4. Only Four questions need to be solved.

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

Page 77

Course Code Course Name Credits
CCIE 2016 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 rese arch design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings

Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postulate, Proposition, Thesis,
Hypothesis, Law, Principle.Research methods vs Methodology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research:Systematic, Valid, Verifiable, Empirical and Critical 09
02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quantitative Approaches 07
03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling Stages in
Sample Design Sampling methods/techniques Sampling Errors 07
04 Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research Process:
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
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 Availability, Choice of data, Analysis of
data, Generalization and Interpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04

Page 78

Assessment :

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

End Semester Theory Examination:
Some guidelines for set ting 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 p aper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be sol ved.

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

Page 79

Course Code Course Name Credits
CCIE 2017 IPR and Patenting 03

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

Module Detailed Contents Hr
01 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks,Copyrights, Industrial Designs,
Plant variety protection, Geographical indications,Transfer of technology etc.
Importance of IPR in Modern Global Economic Environment: Theories of IPR,
Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of problem,
Factors that create and sustain counterfeiting/piracy, International agreements,
International organizations (e.g. WIPO, WTO) active in IPR enforcement
Indian Scenario of IPR: Introduction, History of IPR in India, Over view of IP laws in
India, Indian IPR, Administrative Machinery, Major international treaties signed by
India, Procedure for submitting patent and Enforcement of IPR at national level etc. 07
03 Emerging Issues in IPR: Challenges for IP in digital economy, e -commerce, human
genome, biodiversity and traditional knowledge etc. 05
04 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable and
non-patentable inventions, Types of patent applications (e.g. Patent of addition etc),
Process Patent and Product Patent, Precautions while patenting, Patent specification
Patent claims, Di sclosures and non -disclosures, Patent 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 treaties where India is a member (TRIPS
agreement, Paris convention etc.) 08
06 Procedure for Filing a Patent (National and International): Legislation and Salient
Features, Patent Search, Drafting and Filing Patent Applications, Processing of patent,
Patent Litigation, Patent Publication, Time frame and cost, Patent Licensing, Paten t
Infringement
Patent databases: Important websites, Searching international databases 07

Page 80

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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four q uestions need to be solved.

References:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights
in India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working
Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human Development:
Current Trends and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents,
Copyrights, Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. LousHarns, 2012, The enforcement of Intellactual Property Rights: A Case Book, 3rd
Edition, WIP O
7. PrabhuddhaGanguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition,
Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition, Serial
Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st Edition,
BS Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manu al on Intellectual
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and
Engineers, World Scientific Publishing Company
13. N S Rathore, S M Mathur, PritiMathur, AnshulRathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley -
IEEE Press

Page 81

Course Code Course Name Credits
CCIE 2018 Digital Business Management 03

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

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

Module Detailed content Hours
1 Introduction to Digital Business -
Introduction, Background and current status, E -market places, structures,
mechanisms, economics and impacts
Difference between physical economy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud Computing,
Social medi a, BYOD, and Internet of Things(digitally intelligent
machines/services)
Opportunities and Challenges in Digital Business, 09
2 Overview of E -Commerce
E-Commerce - Meaning, Retailing in e -commerce -products and services,
consumer behavior , market research and advertisement
B2B-E-commerce -selling and buying in private e -markets, public B2B exchanges
and support services, e -supply chains, Collaborative Commerce, Intra business
EC and Corporate portals
Other E -C models and applications, inn ovative EC System -From E -government
and learning to C2C, mobile commerce and pervasive computing
EC Strategy and Implementation -EC strategy and global EC, Economics and
Justification of EC, Using Affiliate marketing to promote your e -commerce
business, La unching a successful online business and 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
4 Managing E -Business -Managing Knowledge, Management skills for e -business,
Managing Risks in e –business
Security Threats to e -business -Security Overview, Electronic Commerce
Threats, Encryption, Cryptography, Public Key and Private Key Cryptography,
Digital Signatures, Digital Certificates, Security Protocols over Public Networks:
HTTP, SSL, Firewall as Sec urity Control, Public Key Infrastructure (PKI) for
Security,
Prominent Cryptographic Applications 06
5 E-Business Strategy -E-business Strategic formulation - Analysis of Company‘s
Internal and external environment, Selection of strategy,
E-business strategy into Action, challenges and E -Transition (Process
of Digital Transformation) 04

Page 82

6 Materializing e -business: From Idea to Realization -Business plan preparation
Case Studies and presentations 08
Assessment :
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for set ting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

References:

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

Page 83

Course Code Course Name Credits
CCIE 2019 Environmental Management 03

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

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


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

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester exami nation. In question paper weightage of each module will
be proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

Page 84

References:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers
London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G.
Ockwell, Edward Elgar Publishing
3. Environmental Management, 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 Environment al Management, Mary K Theodore and Louise Theodore, CRC
Press
7. Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015

Page 85

Subject Code Subject Name Credits
CCL201 Program Lab -I
CAM and Additive Manufacturing 01

Objectives:
1. Learn concepts of Rapid Manufacturing
2. Learn concepts of CNC Programming.

Outcomes: Learner will be able to…
1. Write and run CNC program for Turning and Milling.
2. Gain experience in product design and development using rapid manufacturing technology.

The laboratory will focus on the following:

Module Detailed Content Lab
Sessions
1 3D Modeling and creating STL files 2
2 3D Printing of components 3
3 Operation, programming of CNC turning and milling 4
4 Tool path Simulation using software. 4


Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal
and external examiners

Page 86

Subject Code Subject Name Credits
CCSBL201 Skill Based Lab -I
Mechatronics and Robotics 02


Objectives:
1. Learn concepts of Pneumatic and Hydraulic Systems
2. Learn concepts of Direct and Inverse Kinematics.

Outcomes: Learner will be able to…
1. Design Pneumatic and Hydraulic Circuits for Industrial Applications
2. Design the Direct or inverse kinematics for a given Industrial Robotic Arm


The laboratory will focus on the following:

Module Detailed Contents Lab
Sessions
01 Design and excecute Pneumatic and Hydraulic Circuit 4
02 Direct and Inverse Kinematic Simulation 3
03 Experiment on Robot Vision 2

*Note : Each lab session is equal to 4 hours

Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal
and external examiners

Page 87

Subject Code Subject Name Credits
CCMP301 Major Project:
Dissertation - I 10


Guidelines for Dissertation -I

Students should do literature survey and identify the 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 problem by analytical/simulation/experimental
methods. Th e solution to be validated with proper justification and compile the report in standard
format. Guidelines for Assessment of Dissertation -I.

Dissertation -I should be assessed based on following points
 Quality of Literature survey and Novelty in the pr oblem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization
 Clarity of objective and scope Dissertation -I should be assessed through a presentation by a panel
of Internal examiners and external examiner appointed by the Head of the Department/Institute
of respective Programme.

Page 88

Subject Code Subject Name Credits
CCMP401 Major Project:
Dissertation - II 16


Guidelines for Assessment of Dissertation II

Dissertation II should be assessed based on following points:
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization or current Research / Industrial trends
 Clarity of objective and scope
 Quality of work attempted or learner contribution
 Validation of results
 Quality of Written and Oral Presentation
Students should publish at least one paper based on the work in referred National/ International
conference/Journal of repute.

*Dissertation II should be assessed by internal and External Examiners appointed by the University
of Mumbai.