Vide Item No 647 R BE Mechatronics Engineering Sem VII VIII CBCS REV 2019 C Scheme

Vide Item No 647 R BE Mechatronics Engineering Sem VII VIII CBCS REV 2019 C Scheme_1 Syllabus Mumbai University by munotes

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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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University of Mumbai

Revised Syllabus for
B.E. (Mechatronics Engineering)
Semester – (VII& VIII)
(Choice Based Credit System)

(With effect from the academic year 2022 -23)

AC – 11 July, 2022
Item No. – 6.47 (R)

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Preamble
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs
to be addressed, debated and taken forward in a systematic manner. Accreditation is the principal
means of quality assurance in higher education. The major emphasis of accreditation process is
to measure the outcomes of the program that is being accredited. In line with this Faculty of
Science and Technology (in particula r Engineering) of University of Mumbai has taken a lead in
incorporating philosophy of outcome based education in the process of curriculum development.
Faculty resolved that course objectives and course outcomes are to be clearly defined for each
course, so that all faculty members in affiliated institutes understand the depth and approach of
course to be taught, which will enhance learner‘s learning process. Choice based Credit and
grading system enables a much -required shift in focus from teacher -centric to learner -centric
education since the workload estimated is based on the investment of time in learning and not in
teaching. It also focuses on continuous evaluation which will enhance the quality of education.
Credit assignment for courses is based on 1 5 weeks teaching learning process, however content
of courses is to be taught in 12 -13 weeks and remaining 2 -3 weeks to be utilized for revision,
guest lectures, coverage of content beyond syllabus etc.
There was a concern that the earlier revised curricul um more focused on providing information
and knowledge across various domains of the said program, which led to heavily loading of
students in terms of direct contact hours. In this regard, faculty of science and technology
resolved that to minimize the bu rden of contact hours, total credits of entire program will be of
171, wherein focus is not only on providing knowledge but also on building skills, attitude and
self learning. Therefore in the present curriculum skill based laboratories and mini projects are
made mandatory across all disciplines of engineering in second and third year of programs,
which will definitely facilitate self learning of students. The overall credits and approach of
curriculum proposed in the present revision is in line with AICTE model curriculum.
The present curriculum will be implemented for Second Year of Engineering from the academic
year 2020 -21. Subsequently this will be carried forward for Third Year and Final Year
Engineering in the academic years 2021 -22, 2022 -23, respect ively.
Dr. S. K. Ukarande Dr Anuradha Muzumdar
Associate Dean Dean
Faculty of Science and Technology Faculty of Science and Technology
University of Mumbai University of Mumbai

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Incorporation and implementation of Online Contents from NPTEL/ Swayam
Platform

The curriculum revision is mainly focused on knowledge component, skill based activities and
project based activities. Self learning opportunities are provided to learners. In the revision
process this time in particular Revised syl labus of ‗C‘ scheme wherever possible additional
resource links of platforms such as NPTEL, Swayam are appropriately provided. In an earlier
revision of curriculum in the year 2012 and 2016 in Revised scheme ‗A' and ‗B' respectively,
efforts were made to u se online contents more appropriately as additional learning materials to
enhance learning of students.
In the current revision based on the recommendation of AICTE model curriculum overall credits
are reduced to 171, to provide opportunity of self learnin g to learner. Learners are now getting
sufficient time for self learning either through online courses or additional projects for enhancing
their knowledge and skill sets.
The Principals/ HoD‘s/ Faculties of all the institute are required to motivate and encourage
learners to use additional online resources available on platforms such as NPTEL/ Swayam.
Learners can be advised to take up online courses, on successful completion they are required to
submit certification for the same. This will definitely hel p learners to facilitate their enhanced
learning based on their interest.

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

Preface

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Engineering education in India has to prepare budding minds for applying multidisciplinary
knowledge for product and process innovation. Mechatronics is a new branch of engineering
introduced in University of Mumbai from 2015, which syne rgistically applies the fundamentals
of Mechanical, Electrical, Electronics and Information systems engineering to develop new
products and processes. Thus Mechatronics focuses on development of products and processes
that require combined application of m ultiple engineering domains.

Several changes in technological trends have happened since the introduction of last syllabus of
Mechatronics in 2015. New avenues for synergistic application of fundamentals from multiple
disciplines are opening up every day with technologies such as 3D Printing, Drones, IOT,
Machine learning etc. are becoming popular. The curriculum is designed for preparing the
students for a career in four major focus areas (a) Industrial Automation, (b) Embedded Systems
(c) Digital Design and Manufacturing (d) Intelligent Control and Machine learning. There are
upcoming career opportunities in all these domains. A conscious effort is made to include
several technologies that are being promoted under the Industry 4.0 revolution.

The Updated Program Educational Objectives for this syllabus revision of the undergraduate
program in Mechatronics Engineering are listed below;
1. To prepare the Learner in building technology systems through interdisciplinary approach.
2. To prepare the Learner to use modern tools embedding different disciplines of engineering in
order to solve real life problems and prepare them for the fourth industrial revolution.
3. To prepare the Learner for career in Indian and Multinational Organisations and to excel in
their Postgraduate studies; furthermore, to encourage and motivate the art of self -learning.
4. To inculcate a professional and ethical attitude, good leadership qualities in the Learner‘s
thought process.

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 Studies in Mechanical Enginee ring
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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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Program Structure for Final Year Engineering
Semester VII & VIII
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023 )
Semester VII
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MTC701 Automotive
Mechatronics 3 -- -- 3 -- -- 3
MTC702 Design of
Mechatronic
Systems 3 -- -- 3 -- 3
MTDLO703X Department
Optional Course
– 3 3 -- -- 3 -- -- 3
MTDO704X Department
Optional Course
– 4 3 -- -- 3 -- -- 3
ILO701X Institute Optional
Course – 1 3 -- -- 3 -- -- 3
MTL701 Automotive
Mechatronics
Laboratory -- 2 -- -- 1 -- 1
MTL702 Mechatronics
Laboratory -- 2 -- -- 1 -- 1
MTL703X Department
Optional Course
– 3 Laboratory -- 2 -- -- 1 -- 1
MTP701 Major Project I# -- 6$ -- -- 3 -- 3
-- 6 21
Course Code Course Name Examination Scheme
Theory Term
Wor
k Pract/Oral Total
Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs)
Test1 Test2 Avg.
MTC701 Automotive
Mechatronics 20 20 20 80 3 -- -- 100
MTC702 Design of
Mechatronic
Systems 20 20 20 80 3 -- -- 100
MTDLO703X Department
Optional Course
– 3 20 20 20 80 3 -- -- 100

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 MTDO704X Department
Optional Course
– 4 20 20 20 80 3 -- -- 100
ILO701X Institute Optional
Course – 1 20 20 20 80 3 -- -- 100
MTL701 Automotive
Mechatronics
Laboratory -- -- -- -- -- 25 25 50
MTL702 Mechatronics
Laboratory -- -- -- -- -- 25 25 50
MTL703X Department
Optional Course
– 3 Laboratory -- -- -- -- -- 25 25 50
MTP701 Major Project I -- -- -- -- -- 50 -- 50
Total -- -- 100 400 -- 125 75 700
$ indicates work load of Learner (Not Faculty), for Major Project

CourseCode Sem.VII:DepartmentOptional
Course -3 Laboratory
MTL7031 Digital Signal Processing
MTL7032 Neural Network and Fuzzy Logic
MTL7033 Finite Element Analysis

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Semester VIII
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MTC801 Industrial
Automation and
Industry 4.0 3 -- -- 3 -- -- 3
MTDLO805X Department
Optional Course
– 5 3 -- -- 3 -- -- 3
MTDLO806X Department
Optional Course
– 6 3 -- -- 3 -- -- 3
ILO802X Institute Optional
Course – 2 3 -- -- 3 -- -- 3
MTL801 Robotics and
Machine Vision
Laboratory -- 2 -- -- 1 -- 1
MTL802 Industrial
Automation and
Industry 4.0
Laboratory -- 2 -- -- 1 -- 1
MTP801 Major Project II# -- 12$ -- -- 6 -- 6
12 16 12 8 20
Course Code Course Name Examination Scheme
Theory Term
Wor
k Pract /Oral Total
Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs)
Test1 Test2 Avg.
MT1C801 Industrial
Automation and
Industry 4.0 20 20 20 80 3 -- -- 100
MTDLO805X Department
Optional Course
– 5 20 20 20 80 3 -- -- 100
MTDLO806X Department
Optional Course
– 6 20 20 20 80 3 -- -- 100
ILO802X Institute Optional
Course – 2 20 20 20 80 3 -- -- 100
MTL801 Robotics and
Machine Vision
Laboratory -- -- -- -- -- 25 25 50
MTL802 Industrial -- -- -- -- -- 25 25 50

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Automation and
Industry 4.0
Laboratory
MTP801 Major Project II -- -- -- -- -- 50 100 150
Total -- -- 80 320 -- 100 150 650
# indicates work load of Learner (Not Faculty), for Major Project

Students group and load of faculty per week.
Major Project 1 and 2:
Students can form groups with minimum 2 (Two) members and not more than 4 (Four) members
Faculty Load: In Semester VII – ½ hour per week per project group
In Semester VIII – 1 hour per week per project group

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 DepartmentOptional Courses

CourseCode Sem.VII:DepartmentOptional
Course -3 CourseCode Sem.VII:DepartmentOptionalCourse
-4
MTDLO7031 Digital Signal Processing MTDLO7041 Product Design and Development

MTDLO7032 Neural Network and Fuzzy Logic MTDLO7042 Medical Mechatronics

MTDLO7033 Finite Element Analysis MTDLO7043 Micro -Electro Mechanical Systems

CourseCode Sem.VIII:DepartmentOptional
Course -5 CourseCode Sem.VIII:DepartmentOptionalCourse
-6
MTDLO8051 Industrial IOT MTDLO8061 Robotics and Machine Vision
MTDLO8052 Communication Systems MTDLO8062 UAV Systems
MTDLO8053 AI and Machine Learning MTDLO8063 Engineering Management and
Economics

InstituteOptionalCourses
CourseCode InstituteOptionalCourse -I# CourseCode InstituteElectiveCourse -II#
ILO7011 ProductLifecycleManagement ILO8021 ProjectManagement
ILO7012 ReliabilityEngineering ILO8022 FinanceManagement
ILO7013 ManagementInformationSystem ILO8023 EntrepreneurshipDevelopmentand
Management
ILO7014 DesignofExperiments ILO8024 Human Resource Management
ILO7015 OperationResearch ILO8025 ProfessionalEthicsandCSR
ILO7016 CyberSecurityandLaws ILO8026 ResearchMethodology
ILO7017 DisasterManagement and
MitigationMeasures ILO8027 IPR andPatenting
ILO7018 EnergyAuditandManagement ILO8028 DigitalBusinessManagement
ILO7019 DevelopmentEngineering ILO8029 EnvironmentalManagement
#Commonwithallbranches

Course Code Course Name Credits

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 MTC701 Automotive Mechatronics 03

Prerequisite: MTC502 Sensors and Actuators, MTC504 Embedded Systems
Objectives
1) Introduce the learners to application of mechatronics in automobiles
2) To develop understanding of working of various mechatronic systems in automobiles
3) To introduce vehicle networking and communication
Outcomes: Learner will be able to...
1) Explain Vehicle architecture and Electronic Control units
2) Explain electronic transmission control and its types
3) Explain working of Driving assistance systems such as A ctive Steering, Antilock
braking, Traction control and electronic stability program
4) Explain working of adjustment systems and fault diagnostics
5) Demonstrate understanding of basic principles of vehicular networking and
communication
6) Explain electric vehic les and autonomous vehicles

Module Detailed Contents Hrs.
01
1.1 Vehicle system architecture: Functional structure, Levels in the vehicle
motion domain. Software architecture,Network architecture
1.2 Electronic Control Unit : Operating conditions, Design, Data processing,
Digital modules in the control unit. 5
02
Sensors and Actuator Application in Vehicles
2.1 Sensors: Features of vehicle sensors, Sensor classification , Error types
and tolerance requirements ,Reliability Main requirements, trends Wheel -
speed sensors,Steering -angle sensors, Position sensors for transmission
control, Torque sensor, oxygen concentration sensor, crankshaft angular
position sensor, cam position sensor, Mass air flow (MAF) rate, Manifold
absolut e pressure (MAP), Throttle plate angular position, vehicle speed
sensor, Automotive Radar Sensors, Automotive Lidar Sensors, Tire
Pressure sensor
2.2 Actuators:
Electromechanical actuators: Electrodynamic and Electromagnetic,
Characteristics and applicatio n,
Fluid -mechanical actuators , Electrohydraulic Actuators typical
characteristics for switching and proportional valves
7
03
Electronic Transmission Control Drivetrain Management
Control of Automated Shift Transmission (AST), Control of Automatic
Transmissions, Control of Continuously Variable Transmission, ECUs for
Electronic Transmission Control 5

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
04
4.1 Active steering: Purpose, Design, Method of operation, Safety concept,
Benefits of active steering for the driver
4.2 Antilock Braking System (ABS): System overview, Requirements placed
on ABS, Dynamics of a braked wheel, ABS control loop, Typical control
cycles
4.3 Traction Control System (TCS) Tasks , Function description, Structure of
traction control system (TCS) , Typical cont rol situations , Traction control
system (TCS) for four wheel drive vehicles
4.4 Electronic Stability Program (ESP) Requirements Tasks and method of
operation, Maneuvers, Closed -loop control system and controlled
Variables 10

05 5.1 Drive and adjustment systems: Power windows, Power sunroofs, Seat
and steering column adjustment.
5.2 Fault diagnostics: Monitoring during vehicle operation (on -board
diagnosis) Basic principles of networking: Network topology, Network
organization, OSI reference model, Cont rol mechanisms Requirements for bus
systems, Classification of bus systems Applications in the vehicle
5.3 Bus systems: CAN bus, LIN bus , Bluetooth 7

06
6.1 Electric and Hybrid Vehicles
Layout of an electric vehicle, traction motor characteristics, tractive effort
Transmission requirements, vehicle performance, energy consumption,
advantage and limitations, specifications, system components, electronic
control system
6.2 Introduction to Autonomous Vehicles . 5

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire syllabus

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature.( e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module3)
5. In question paper weightage of each module will be proportional to
number of respective l ecture hrs as mentioned inthe syllabus.

References:
1. ―Automotive Mechatronics, Automotive Networking, Driving Stability Systems,
Electronics‖ Bosch Professional Automotive Information Springer 2015
2. David A. Johns, Ken Martin, ―Analog Integrated Circuit Design‖ John Wiley & Sons,
2002.
3. M. A. Mazadi and J. C. Mazadi, ―The 8051 Microcontroller and Embedded Systems‖,
Pearson Education, New Delhi
4. Robert Bosch, ―Automotive Hand Book‖ SAE, 5th edition, 2000.
5. William B.Riddens -Understanding Automotive Electronics, 5th edition - Butter worth
Heinemann Woburn - 1998.
6. Crouse W.H. ―Automobile Electrical Equipment‖ McGraw Hill Book Co., Inc., New York
3rd edition,1986
7. Mehrdad Ehsani, Yimin Gao , sebastien E. Gay and Ali Emadi, ―Modern Electric, Hybrid
Electric and Fuel Cell Vehicles: Fundamentals, Theory and Design‖, CRS Press, 2004

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in /courses/107106088
https://nptel.ac.in/courses/108102121

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTC702 Design of Mechatronic Systems 03

Prerequisite: MTC502 Sensors and Actuators, MTC503 Mechatronic Systems Modelling
and Control, MTC504 Embedded Systems, MTC 603 Instrumentation and Control,

Objectives:
1. To present architecture of the mechatronics system design
2. To familiarize with multi -domain modelling a nd simulation
3. Selection of Actuators and transmission for design of mechatronic systems
4. Understanding programming for motion control

Outcomes: Learner will be able to...
1. Explain Design Process, structure, elements and application of Mechatronics
2. Modelling and simulation of Mechatronic system including system identification
3. Implement Servo control and controller tuning.
4. Actuator selection and drive train design for motion control applications
5. Motion control programming for industrial applications
6. Indigenously design and develop a mechatronic system.

Module Detailed Contents Hrs.
01
Mechatronic Design and Applications:
Historical development of industrial systems (from Mechanical to Mechatronic).
Basic building blocks of mechatronic systems. Key Elements of Mechatronics:
Information Systems, Mechanical Systems, Electrical Systems, Computer
Systems, Sensors and Actuators, Real Time Interfacing.
Generalized Mechatronics Design Process: Phase I Modelling and Simulation,
Phase II Prototyp ing, Phase III Deployment/Lifecycle
Performance characteristics of sensors and transducers. Selection criteria for
sensors and actuators, interfacing of sensors and actuators. Mechatronics in
home, office and industrial automation. 7
02
Modelling and Simulation
Why Bond graph for mechatronics? Review of Bond graph modelling.
2.1 Bond graph modelling of Actuators Mechanisms and Linkages, (Example
of belt drive) Electrical Actuators (Example of PM DC Motors,),
Hydraulic / Pneumatic Actuator s (Example of double acting pneumatic
actuator)
2.2Bond graph modelling of Sensors: Activated bond, Position, Velocity,
Acceleration, Force and Pressure sensor bond graph modelling
2.3 Bond graph modelling of Circuits (Example ofH Bridge Circuit,
Operati onal Amplifier Inverting and non -Inverting)
2.4 Introduction to Simulation
6

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 03
Introduction to System Identification
3.1 System Theory : Open systems, Input, Disturbance, State, Output. Basic
Problems in system theory, Mathematical models, properties, Convolution
integral, System Identification procedure.
3.2 System response methods : Impulse Response Model Representation,
Transfer function model representation , direct impulse response
identification , Direct Step Response Identification, 4

04
Servo Control of Actuators
4.1 DC Servo: Types of DC Servo, DC Servo Motors in Open and Closed Loop
Velocity Control, DC Servo Motors in Closed Loop Position Control.
4.2 Stepping Servo: Stepping motor for position control applications
4.3 AC Servo Motors , Rotor, Stator, Sinusoidal Commutation Torque
Generation with Sinusoidal Commutation Six -Step Commutation of AC Servo
Motors Motor Phasing with Encoders and Hall Sensors. AC Induction Motors,
Stator, Rotor, Motor Operation, Constant Speed Oper ation Directly Across -the-
Line, Variable Speed Operation with a VFD
AC Drives: Drive Electronics, Converter and DC Link, Inverter.
AC Servo Basic Control Structures: Cascaded Velocity and Position Loops,
Single -Loop PID Position Control, Cascaded Loops wit h Feedforward Control,
Inner Loop, Inner Loop for AC Induction Motors, Inner Loop for AC Servo
Motors
AC Servo Tuning: Tuning a PI Controller, Tuning a PID Position Controller
4.4 Electrohydraulic Servo Motors: Mechanically controlled servo, Electro
hydraulic servo valves, Hydraulic servo motors 8

05 5.1 Motion Profile , Kinematics: Basic Concepts, Common Motion Profiles:
Trapezoidal Velocity Profile, S -curve Velocity Profile
Multiaxis Motion: Slew Motion, Interpolated Motion, Problems .
5.2 Drive -Train Design: Inertia and Torque Reflection, Gearbox Ratio
Reflected Inertia, Reflected Torque, Efficiency Total Inertia, Inertia Ratio,
Targeted Practical Inertia Ratio. Transmission Mechanisms, Load and Inertia
Reflection through Transmission M echanisms, Pulley -and-Belt, Lead Screw,
Rack -and-Pinion Drive, Belt -Drive for Linear Motion, Conveyor Torque
Required for the Motion, Acceleration (Peak) Torque, Running Torque,
Deceleration Torque, Continuous (RMS) Torque
5.3 Comparison and selection of S ervo Motors: Theory and Performance
Criteria, Comparison of result and design procedure
AC Servo Motor Selection: Torque –Speed Curves for AC Servomotors Motor 8

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Sizing Process, Motor Selection for Direct Drive, Motor and Transmission
Selection, Gearboxes Planetary Servo Gearheads, Worm Gear Speed Reducers,
Servo Motor and Gearhead Selection, AC Induction Motor and Gearbox
Selection
Problems on Motor, Gearbox, and Transmission Mechanism Selection for
industrial applications.

06
Motion Control
Motion Controller Programming and Applications, Move Modes: Linear Moves,
Circular Moves, Contour Moves
Programming: Motion Programs, PLC Functionality, Single -Axis Motion,
Jogging, Homing Multiaxis Motion: Multiple Motors Driving One Axis,
Coordinated Mo tion of Two or More Axes, Following Using Master/Slave
Synchronization: Electronic Gearing, Electronic Camming, Ratio Following,
Time -base Control. Motion control algorithm development for industrial
applications 6

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire
syllabus wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e. g. Suppose Q.2
has part (a) from module3 then part (b) will be from any module
other than module3)
5. In question paper weightage of each module will be
proportional to number of respective lecture hrs as
mentioned inthe syllabus.

References:

Page 19

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 1) Mechatronics System Design, Shetty and Kolk CENGAGE Learning, India Edition
2) Industrial Motion Control Motor Selection, Drives, Controller Tuning, Applications
HakanGürocak 2016, John Wiley & Sons, Ltd
3) ―Intelligent Mechatronic Systems Modeling, Control and Diagnosis‖ RochdiMerzouki
, Arun Kumar Samantaray, Pushparaj Mani Pathak , BelkacemOuldBouamama
Springer.
4) Servo Motors and Industrial Control Theory, RiazollahFiroozian, Springer 2009
5) Applied Mechatronics - A. Smaili and F. Mrad, OXFORD university press.
6) System Identification: An Introduction Karel J. Keesman Springer -Verlag London
Limited 2011
7) System Identification: Theory for the User (2nd Edition), Lennart Ljung
8) Introduction to Mechatronics and Measurement Systems, Alciatore and Histand Tata
McGraw -Hill
9) Mechatronics, Necsulescu, Pearson education.
10) Mechatronics - Electromechanics and Control Mechanics, Mill Springer -Verlag
11) Mechatronics - Electronic Control Systems in Mechanical Engineering, Bolton
Pearson eduaction
12) Mechatronics - Electronics in products an d processes, Bradley, et al. Chapman and
Hall
13) Mechatronics - Mechanical System Interfacing, Auslander and Kempf, Prentice Hall
14) Introduction to Mechatronics, AppuKuttan K.K., OXFORD Higher Education
15) The Art of Electronics, Horowitz and Hill Cambridge, Unive rsity Press
16) Electromechanical Design Handbook, Walsh, McGraw -Hill
17) Electro -mechanical Engineering - An Integrated Approach, Fraser and Milne

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/112101304
https://nptel.ac.in/courses/112107298
https://ocw.tudelft.nl/courses/mechatronic -system -design/

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTDLO7031 Digital Signal Processing 03

Prerequisite: MTDO501 Signals and Systems

Objectives:
1. To teach the design techniques and performance analysis techniques of digital filters
2. To introduce the students to advanced signal processing techniques, digital signal
processors and applications

Outcomes: Learner will be able to…
1. Understand algorithms for computation of DFT
2. Efficient computation of DFT using FFT Algorithm
3. Design FIR Digital Filters for processing of Discrete Time Signals
4. Design IIR Digital Filters for processing of discrete time signals
5. Analyze multirate signal processing techniques
6. Understand DSP Processors and Applications

Module Detailed Contents Hrs.
01
N-point Discrete Fourier Transform (DFT):
07 Need of DFT, Definition of N -point DFT/IDFT, Twiddle Factor and its
properties, Define N -point DFT/IDFT using Twiddle Factor, Computation
of N-point DFT/IDFT Basis Function, Properties of N -point DFT (Without
Proof),
Computation of Linear Convolution using Circular Convolution,
Computation of Frequency Spectrum using N -point DFT,
Introduction to Discrete Cosine Transform (DCT)
A linear filtering approach to computation of the DFT - The Goertzel
Algorithm, The Chirp -z transform Algorithm
02
Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform
(IFFT) Algorithms:
Need of FFT Algorithm, Decimation In Time (DIT) Domain -, Decimation
In Frequency (DIF) Domain - using Radix 2 FFT Algorithm, Composite
Radix FFT Algorithm, Computation of N -point DFT using FFT Algorithms
(N = 4, N = 8)
Circular Convolution using FFT Algorithms
Linear Filtering using Overlap A dd- and Overlap Save - Techniques 07
03
Finite Impulse Response (FIR) Digital Filters:
08 Characteristics of FIR Digital Filters, Minimum Phase, Maximum Phase,
Mixed Phase and Linear Phase Filters Frequency response, location of the
zeros of linear phase FIR Filters
FIR Filter Designing Using Windowing Techniques: Rectangular
Window, Hamming Window, Hanning Window, Blackman Window,
Bartlett Triangular Window, Kaiser Window
Design of FIR Filter using Frequency Sampling Technique

Page 21

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
04
Infinite Impulse Response (IIR) Digital Filters:
08 Concept of Analog Filter Design, IIR Filter design by approximation of
derivatives, IIR Filter design by impulse invariance method, Bilinear
Transformation Method, Warping Effect
Butterworth Filter Design, Characteristics of Butterworth Filters
Chebyshev Filter Design and Elliptic Filter Design
IIR Filter realization using Direct Form, Cascade Form and Parallel Form
Finite Word Length Effect in IIR Filter Design
Comparison of IIR and FIR Filters

05 Multirate Signal Processing and Filter Banks:
05 Introduction and Concept of Multirate Signal Processing
Basic Operations of Multirate Processing: Sampling Rate Conversion,
Decimation, Expansion, Sampling rate conversion by a rational factor
Analysis and Synthesis Filter Banks, Subband Decomposition, Subband
Coding and Multiresolution Analysis
Introduction to Wavelets

06
DSP Processors and Applications:
04 Introduction to General Purpose and Special Purpose DSP processors,
fixed point and floating point DSP processor, Computer architecture for
signal processing, Harvard Architecture, Pipelining, multiplier and
accumulator(MAC)
Applications of DSP: Radar Signal Processing and Speech Processing
Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise Total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on the entire syllabus
wherein sub - questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature .( e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module 3)
5. In question paper weightage of each module will be proportional to
number of respective lecture hrs as mentioned in the syllabus.
Text Books:
1. John G. P roakis and Dimitris G. Manolakis, Digital Signal Processing, Principles,
Algorithms and Applications, 4th, Pearson Education / PHI, 2007
2. Mithra, Digital Signal Processing, 3rd, McGraw Hill Publications, 2008

Page 22

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 References:
1. S Salivahanan, Digital Signal Processing, 4th, TMH, 2019
2. Nagoorkhani A, Digital Signal Processing, 2nd, TMH, 2012
3. Ramesh Babu P, Digital Signal Processing, 4th, SciTech, 2013

Links for online NPTEL/SWAYAM courses:

1. https://www.classcentral.com/course/youtube -electronics -digital -signal -processing -
47676
2. https://www.classcentral.com/course/youtube -electrical -digital -signal -processing -
47650
3. https://www.classcentral.com/course/youtube -jan-2021 -digital -signal -processing -and-
its-applications -47497

Page 23

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO7032 Neural Network and Fuzzy Logic 03

Prerequisite: Engineering Mathematics ‐I, Engineering Mathematics ‐II, MTC302 Data
Structure and Algorithm
Objectives
1. To conceptualize the working of human brain using Artificial NeuralNetwork.
2. To become familiar with neural networks that can learn from available examples
and generalize to form appropriate rules for inferencesystems.
3. To introduce the ideas of fuzzy sets, fuzzy logic and use of heuristics based on
human experience.
Outcomes: Learner will be able to...
1. Analyze and appreciate the applications which can use Neural Network and fuzzy logic.
2. Identify and describe NNFL techniques and their roles in building intell igent machines.
3. Design inference systems for decision making in manufacturing industries.
4. Realize the difference between learning and programming and explore practical
applications of Neural networks (NN).
5. Demonstrate the use of Neuro -fuzzy network for var ious industry applications.

Module Detailed Contents Hrs.
01
Introduction: S oft computing techniques .
1.1 Basics of Neural Networks: Introduction to NeuralNetworks,
Biological Neural Networks, McCulloch Pittmodel.
Fuzzy Logic: Introduction to fuzzy logic:
1.2 Classical Sets (Crisp sets): Crisp Sets and Fuzzy Sets, Operations
on crisp sets, Properties of crispsets.
07
02
2.1 S upervised Learning algorithms: Perceptron (Single Layer,Multi -layer),
Linear separability, Delta learning rule, Back Propagation algorithm.

2.2 Un-Supervised Learning algorithms: Hebbian Learning, Winner
take all, Self -Organizing Maps, Learning VectorQuantization.

2.3 Neural networks as pattern classifiers 08
03
3.1 Fuzzy Sets: Membership functions, Basic Fuzzy setoperations,
Properties of Fuzzysets.
3.2 Fuzzy Relations:
Crisp Relations: Cartesian product, operations onRelations.
Fuzzy Relations: Fuzzy Cartesian product, Operations on Fuzzy
Relations. 07

04
Fuzzy System:
Fuzzy Logic and application: Fuzzy qualifiers, Fuzzy inference, Fuzzy
Inference System(FIS), Types of FIS, Fuzzification ,defuzzification
methods, design of fuzzy controllers.
Applications : Fuzzy Controller design for Metro Train, Expert System design
for sensor and actuator selection, 08

Page 24

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
05 Hybrid system:
Introduction to genetic algorithm
5.1 Integration of Neural networks, Fuzzy logic and
geneticalgorithms:Introduction to Adaptive Neuro Fuzzy Inference
System(ANFIS) and its application for electromechanicalindustries. 05

06
Hybrid system:
Fuzzy back propagation (Fuzzy BP) Network: FuzzyNeuron, Fuzzy BP
Architecture, Learning in FuzzyBP.
Application : Model for color recipes prediction. 04
Case Studies using Neural network and Fuzzy Logic:
Fuzzy Controller design for Washing Machine, Refrigerator, Air Conditioners.,
Applications of fuzzy logic in pattern recognition and Image processing for
electromechanical industries, Model for computing Automobile Fuel Efficiency
,
Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire
syllabus wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining quest ions will be mixed in nature. ( e.g. Suppose
Q.2 has part (a) from module3 then part (b) will be from any
module other than module3)
5. In question paper weightage of each module will be
proportional to number of respective lecture hrs as
mentioned inthe syllabus.

References:
1. Timothy J.Ross "Fuzzy Logic With Engineering Applications"Wiley.
2. S.N.Sivanandam, S.N.Deepa "Principles of Soft Computing" Second
Edition, Wiley Publication.
3. S.Rajasekaran and G.A.Vijayalakshmi Pai "Neural Networks, Fuzzy Logic
and Ge netic Algorithms" PHILearning.
4. J.-S.R.Jang "Neuro -Fuzzy and Soft Computing" PHI2003.
5. Satish Kumar "Neural Networks A Classroom Approach" TataMcGrawHill.
6. Zimmermann H.S "Fuzzy Set Theory and its Applications"Kluwer AcademicPublishers.
7. Hagan, Demuth, Beale," Neural Network Design" CENGAGE Learning, IndiaEdition.

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/127105006

Page 25

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO7033 Finite Element Analysis 03

Prerequisite: MTC301: Engineering Mathematics -III, MTC401: Engineering Mathematics -
IV, MTC 404 Strength of Material, MTC501 CAD&CAE

Objectives:
1. To introduce the concepts of Mathematical Modeling of Engineering Problems.
2. To solve ordinary and partial differential equations of second order.
3. To study the applicability of FEM to a range of Engineering Problems.
4. To apply numerical techniques for solving problems.

Outcomes: Learners will be able to
1. Model the engineering problems mathematically.
2. Apply the basic finite element analysis (FEA) formulation techniques to solve
engineering problems.
3. Translate FEA formulation into computer code
4. Use commercial FEA software, to solve engineering problems.

Module Detailed Contents Hrs.
01
Introduction:
1.1 Engineering Problems, Boundary value problems, Initial value
problem
1.2 Mathematical solutions techniques, Governing differential equations,
Boundary conditions, solution algorithms, Errors and convergence,
computer code formulation
1.3 General FEA procedure, Definitions of various terms used in FEA like
element, Order of element, Internal and external node/s, Degree of
freedom, Primary and secondary variables, Advantages, Limitations
of FEA
1.4 FEA Software, selection of element type, m eshing and convergence of
solution 8
02
Approaches In FEA
2.1Direct approach : Formulation of stiffness matrix, transformation and
assembly concepts.
2.2 Elements of calculus of variations: Minimization of a functional,
Principle of minimum total potential, Piecewise Rayleigh -Ritz
method.
2.3 Weighted Residual Methods : Least squares, Galerkin methods 6
03
Finite Element Formulation for One Dimensional Problems
3.1 Bar element, Stepped and taper bars, Derivation of shape functions
3.2 Beam element, Derivation of shape functions
3.3 One dimensional truss problems
3.4 One dimensional thermal problems 8

04
Finite Element Formulation for Two Dimensional Problems:
4.1 Natural coordinates and coordinates transformations,
Triangular elements, Rectangular elements 6

Page 26

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 4.2 Plane stress, Plane strain, Analysis of CST, Axisymmetric
problems
4.3 Jacobian matrix, Higher order two dimensional elements

05 Finite Element Formulation for Three Dimensional Problems:
5.1 Different types of three dimensional elements
5.2 Derivation of shape function in three dimension
5.3 Examples of three dimension problem 5

06
Finite Element Formulation of Dynamic System
6.1 Dynamic problems and finite element solutions techniques
6.2 Free vibration problems of rod and beam, Lumped and
consistent mass matrix methods, Natural frequencies of beams
6.3 Longitudinal vibration frequencies and mode shapes, Transverse
deflections 6

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of a total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on the entire syllabus
wherein sub - questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.( e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module 3)
5. In question paper weightage of each module will be proportional to
number of respective lecture hrs as mentioned in the syllabus.
References:
1. Seshu. P. ―Textbook of Finite Element Analysis‖ Prentic e Hall of India, 2003.
2. J.N. Reddy, ―Finite Element Method‖ Tata McGraw Hill, 2003.
3. Chandrupatla and Belegundu, ―Introduction to Finite Elements in Engineering‖ PHI
/Pearson Education, 2003.
4. Logan. D.L. ―A first course in Finite Element Method‖, Thomson Asia Pvt. Ltd., 2002.
5. Cook R.D., Malkus. D.S. Plesha, ME., ―Concepts and Applications of Finite Element
Analysis‖, John – Wiley Sons 2003.
6. S.S. Rao, ―The Finite Element Method in Engineering ―Butter worth Heinemann,
2001.
7. M. Asghar Bhatti, ―FUNDAMENTAL Fin ite Element Analysis and
Applications with Mathematica and MATLAB Computations‖, Wiley India
Pvt. Ltd.

Links for online NPTEL/SWAYAM courses:
https://onlinecourses.nptel.ac.in/noc21_me109/preview

Page 27

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO7041 Product Design and Development 03

Prerequisite: 1. MTC501: CAD & CAE
Objectives
1. To understand fundamental of product design concepts
2. To understand product design methodologies
3. To understand product design needs and issues in industry
Outcomes: Learner will be able to...
1. Design the products as per the customer/industry requirements
2. Apply product design tools and techniques

Module Detailed Contents Hrs.
01
1.1 Introduction to Product Design: Tangible and Intangible product,
specifications of product, product life cycle.
1.2 Concurrent engineering & Sequential engineering
1.3 Modern product development process , Product design process,
Product analysis. 7
02
2.1 Conceptual Design: generation, selection & embodiment of concepts.
2.2 Product architecture: Integral architecture and modular architecture,
classification
2.3 Industrial Design: Process and Need, Design Optimization 6
03
3.1 Introduction and Process: Design for Manufacturing (DFM) and
Design for Assembly (DFA) Designs for Maintainability(DFM)
Designs for Environment (DFE)
3.2 Design of Experiments (DOE). 8

04
4.1DFMA guidelines, Product design for manual assembly, Design
guidelines for metallic and nonmetallic products to be manufactured by
different processes such as casting, machining, injection molding etc.,
4.2 Rapid prototyping, needs, advantages, working pr inciple of SLA,
LOM and SLS 6

05 5.1 Value Engineering / Value Analysis. : definition,
methodology - FAST, Case studies.
5.2 Failure Mode Effect Analysis (FMEA)
5.3 Ergonomics in product design 6

06
6.1 Design for quality
6.2 Design and Process Failure Mode Effect Analysis (FMEA)
6.3 Design for Six Sigma
6.4 Patents and IP acts 6

Page 28

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus
wherein sub - questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.( e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module 3)
5. In question pa per weightage of each module will be proportional to
number of respective lecture hrs as mentioned in the syllabus.

References:
1. ― Product Design & Development.‖ Karl T Ulrich, Steven D Eppinger , Tata
McGrawhill New Delhi2003
2. ―Techniques in Reverse Engine ering and new Product Development.‖ Kevin
Otto & Kristin Wood Product Design: 2004, Pearson Education NewDelhi
3. ―ValueEngineering.‖ L D Miles
4. ―Successful Product Design.‖ Hollins B & Pugh S ,ButterworthsLondon.
5. ―Product Design and Manufacturing‖, A K Chital e & R C Gupta, PHI,2012.

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/112107217
https://nptel.ac.in/courses/112104230
https://nptel.ac.in/courses/107103082

Page 29

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO7042 Medical Mechatronics 03

Prerequisite: MTC405 Application of Integrated Circuit, MTC502 Sensors and Actuators,
MTC603 Instrumentation and Control

Objectives
1. To teach the significance of biomedical signal and the challenges in picking thesignal
2. To educate students the different mechanism to measure and monitor different
biomedical parameters
3. To identify different types of biomedical units such as therapeutic and prosthetic
devices.
4. To help students in enhancing their knowledge about different imagingtechniques
5. To introduce robotic surgery
6. Mechanical design of the electrodes, prosthetic devices and the miniature as well
asEMI
/RFI protected cabinet is a major challenge to be looked into by this course.
Outcomes: Learner will be able to …
1. Select proper electrodes and electrolyte for different measurement of parameters
2. Explain the principle and working of any biomedic al equipment
3. Design suitable orthotic and prosthetic devices and applications
4. Explain the working of different imaging techniques in Biomedical Engineering
5. Explain technological aspects of robotic surgery.
6. Demonstrate the significance of safety, telemetry in biomedical Instrumentation

Module Detailed Contents Hrs.
01
Sources of Bioelectric potential, Electrodes and Transducers
1.1 Understand generation of electrical signal in human cell, Resting
andAction potential
1.2 Different types of Electrodes, Electrolytes and their significance,Biosensors
1.3 Classification of Biomedical Instruments,
1.4 Macroshocks and microshocks hazards, electrical safety andEMI/RFI
interference and its testing 6

Page 30

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 02
Biopotential Amplifiers and recorders
2.1 The origin of bio-potential, ECG, ENG, EMG, EEG, MEG, ERG etc.
The signal conditioners and amplifiers
2.2 Recording systems for the bio -potential listed above and
patientmonitoring system, Foetal heart ratemonitor 6
03
Therapeutic and Prosthetic Equipments
3.1 Hemodialisis machine, Ventilators, Infant incubator, drug
deliverydevices,
3.2 Orthotic and Prosthetic devices Definition, Need and Classification,
Normal Human Locomotion . Gait Cycle, Biomaterials: Definition,
Need and Classification, Biological Testing and Biocompatibility,
Upper and Lower limb Prosthetic devices. Upper and Lower limb
Orthotic devices, Study of various biomaterials andapplications 7

04
Fundamentals of medical imaging
4.1 X -ray computed Tomography, Spiral or Helical C T: Slip Ring
Technology, C T Angiography. Clinical use & Biological effects and safety,
Magnetic resonance imaging Biological effects and safety. Nuclear medical
imaging Biological effects and safety, Infrared imaging, Liquid
crystalthermography. Microwavehermography.
4.2 Endoscopy, gastroscope, bronchoscope, cystoscope,
colonoscope, Enteroscope Lithotripsy. 7

05 Robot Assisted Surgery
Minimally invasive surgery and robotic integration, Definitions and
development of surgical robotic systems
Localization and tracking technologies for medical robotics: Requirements for
position sensors , Dynamic referencing , Types of position sensors
Case Study : Robotic -assisted vitreoretinal surgery 9

06
Electrical safety and Telementry
6.1 Macroshocks and microshocks hazards, electrical safety andEMI/RFI
interference and its testing
6.2 Biomedical telemetry, wireless and multi patienttelemetry 4

Page 31

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 ques tions need tobe solved.
3. Question No: 01 will be compulsory and based on entire
syllabus wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2
has part (a) from module3 then part (b) will be from any module
other than module3)
5. In question paper weightage of each module will be
proportional to number of respective lecture hrs as
mentioned inthe syllabus.

References:
1. Khandpur R. S., Handbook of Biomedical Instrumentation, Tata McGraw Hill,
second edition, 2003
2. Carr and Brown, Introduction to biomedical equipment technology, fourth
edition, Pearson press,2003
3. Sujata V. Bhat, Biomaterials, Narosa Publishing House,2002.
4. W.R.Hendee&E.R.Ritenour, Medical Imaging Physics (3rd eds), Mosbey Year -
Book, Inc., 1992.
5. Medical robotics Minimally invasive surgery Edited by Paula Gomes, Woodhead
Publishing Series in Biomaterials: Number 51
6. Lesslie Cromwell, Fred J. Weibell, rich J. Pfeiffer Biomedical
Instrumentationand Measurements, 2nd Edition, PHI
7. John G. We bster, Bioinstrumentation John Wiley and sons,2004
8. Joseph Bronzino (Editor -in-Chief), Handbook of Biomedical Engineering, CRC
Press, 1995.
9. L.A.Geddes and L.E.Baker,.Principles of Applied Bio -Medical
Instrumentation. John Wiley & Sons1975.
10. Harold E. Smalley , .Hospital Management Engineering . A guide to the
improvement of hospital management system.PHI

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/108105101

Page 32

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTDLO7043 Micro Electro Mechanical Systems 03

Prerequisite: MTC303 Engineering Materials and Metallurgy, MTC403 Thermal and Fluid
Engineering, MTC502 Sensors and Actuators
Objectives
1. To introduce the concept of MEMS, NEMS and its applications
2. To provide an understanding of the fundamental principles behind the operation of
MEMS sensors and actuators.
3. To demonstrate the fabrication processes and materials used in development of
MEMS devices.
4. To introduce modeling and simulation of MEMS devices.
5. To provide an understanding of the technique used for characterization of MEMS
devices.

Outcome: Learner will be able to…
1. Understand the underlying fundamental principles of MEMS devices.
2. To understand the construction and working of MEMS se nsors and actuators.
3. To choose appropriate materials and fabrication processes for MEMS devices.
4. Develop a physics -based model of MEMS devices.
5. Identify characterization and assembly techniques for fabricated MEMS devices.

Module Detailed Contents Hrs.
01
Introduction to MEMS & Applications:
 Introduction to Micro -Electro -Mechanical Systems, Nano -
mechanical Systems (NEMS), Real world applications of MEMS,
NEMS 3
02
Sensors and Actuators in Micro -domain:
 Concept of sensors & actuators,
 Sensing & Actuation principles: Mechanical Sensing, Capacitive,
Electrostatic, Electromagnetic, PiezoResistive, PiezoElectric, Thin
Films, Shape Memory Alloys
 Comb Drive Actuation & Sensing. Micro -mechanisms, Air -Bag
Sensors, Chemical Sensors
 Sensors & Act uators for Automotive, Biomedical, Industrial
applications 9
03
Materials and Properties for MEMS:
 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. 5

Page 33

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
04
Fabrication Processes for MEMS
 Microfabrication Methods (VLSI Techniques)
 Deposition techniques such as CVD (Chemical Vapor Deposition),
Physical Vapor Deposition (Metallization Techniques)
 Oxidation, Diffusion, Ion Implantation
 Positive and Negative Photoresists, Lithography
 Etching (Isotropic and Anisotropic), Wet, Dry
 Deep Reactive Ion Etching
 Bulk Micromachining
 Surface Mic romachining
 LIGA
 Understanding Selection of processes based on applications 10

05 Modelling and Simulation Techniques:
 Scaling Laws, Governing Equations
 Micro -mechanism modelling and analysis techniques : Lumped
Parameter Modelling and Distributed Parameter Modeling
 Modelling of Mechanical Structures via classical methods,
Newton's Laws, Thermal Laws, Fluid Flow Analysis
 Modelling of Micro -channel as heat exchanger 6

06
Characterization Techniques:
 STM (Scanning Tunneling Microscopes), SEM (Scanning Electron
Microscopes), AFM (Atomic Force Microscopes)
 Stiffness, Adhesion, Vibration, Resonant frequency characterization
6
Self-Learning Topics: Architecture, working and basic quantitative
behaviour of Accelerometers, Pressure Sensors, Micromirrors in DMD,
Inkjet printer -head. Understanding steps involved in Fabricating above
devices.

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of a total of 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on the entire syllabus wherein sub -
questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has part (a) from module3
then part (b) will be from any module other than module 3)
5. In question paper weightage of each module will be proportional to number of respective
lecture hrs as mentioned in the syllabus.

Page 34

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 References:
1. Microsystem Design - by S. Senturia; Publisher: Springer
2. Nadim M ulaf and Kirt Williams, ―An Introduction to Microelectromechanical
Systems Engineering‖, Artech House.
3. Micro Electro Mechanical System Design - by J. Allen; Publisher: CRC Press
4. Nicolae Lobontiu and Ephrahim Garcia, ―Mechanics of Microelectromechanical
systems‖, Kluwer Academic Publication.
5. Julian W. Garden, Vijay K. Varadan and Osama O. Awadelkarim ―Microsensors
MEMS and Smart devices‖, John Wiley and sons, Ltd.
6. Stanley Wolf and Richard Tauber, ―Silicon Processing for the VLSI era Volume -1
Technology‖, La ttice press.
7. Vijay K. Varadan, K.J.Vinoy and S. Gopalkrishnan, ―Smart Material Systems and
MEMS: Design and Development Methodologies‖, John Wiley and sons Ltd.
8. Bhushan, ―Springer Handbook of Nanotechnology‖, Springer Inc.

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/117105082
https://nptel.ac.in/courses/108108113

Page 35

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7011 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 implement ation.
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 p roduct development tools for components,
machining and manufacturing plant

Sr.
No. Detailed Contents Hrs
01 Introduction to Product Lifecycle Management (PLM): Product
Lifecycle Management (PLM), Need for PLM, Product Lifecycle Phases,
Opportunities of Globalization, Pre -PLM Environment, PLM Paradigm,
Importance & Benefits of PLM, Widespread Impact of PLM, Focus and
Application, A PLM Project, Starting the PLM Initiati ve, PLM
Applications
PLM Strategies: Industrial strategies, Strategy elements, its identification,
selection and implementation, Developing PLM Vision and PLM Strategy ,
Change management for PLM 10
02 Product Design: Product Design and Development Process, Engineering
Design, Organization and Decomposition in Product Design, Typologies of
Design Process Models, Reference Model, Product Design in the Context
of the Product Development Process, Relation with the Development
Process Planning Phase, Rel ation with the Post design Planning Phase,
Methodological Evolution in Product Design, Concurrent Engineering,
Characteristic Features of Concurrent Engineering, Concurrent
Engineering and Life Cycle Approach, New Product Development (NPD)
and Strategies, Product Configuration and Variant Management, The
Design for X System, Objective Properties and Design for X Tools, Choice
of Design for X Tools and Their Use in the Design Process 09
03 Product Data Management (PDM): Product and Product Data, PDM
systems and importance, Components of PDM, Reason for implementing a
PDM system, financial justification of PDM, barriers to PDM
implementation 05

Page 36

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 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
06 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and
Framework of Life Cycle Assessment, Phases of LCA in ISO Standards,
Fields of Applicatio n and Limitations of Life Cycle Assessment, Cost
Analysis and the Life Cycle Approach, General Framework for LCCA,
Evolution of Models for Product Life Cycle Cost Analysis 05
Assessment :

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

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

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

Page 37

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7012 Reliability Engineering 03

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

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

Page 38

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Assessment :

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

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

REFERENCES:
1. L.S. Srinath, ―Reliability Engineering‖, Affiliated E ast-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 39

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7013 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 Tran sform Business
2. Identify the impact information systems have on an organization
3. Describe IT infrastructure and its components and its current trends
4. Understand the principal tools and technologies for accessing information from
databases to improve business performance and decision making
5. Identify the types of systems used for enterprise -wide knowledge management and
how they provide value for businesses

Sr. No. Detailed Contents Hrs
01 Introduction to Information Systems (IS): Computer Based Information
Systems, Impact of IT on organizations, Importance of IS to Society.
Organizational Strategy, Competitive Advantages and IS 4
02 Data and Knowledge Management: Database Approach, Big Data, Data
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 for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

Page 40

Page 41

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7014 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 lif e situations
3. Plan, analyze, and interpret the results of experiments

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

Page 42

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 05 Response Surface Methods and Designs
5.1 Introduction to Response Surface Methodology
5.2 The Method of Steepest Ascent
5.3 Analysis of a Second -Order Response Surface
5.4 Experimental Designs for Fitting Response Surfaces 07
06 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
6.3 Robust design examples 04
Assessment :

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

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

REFERENCES:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook,
Response Surface Methodology: Process and Product Optimization using Designed
Experiment, 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 So ns 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 43

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7015 Operations Research 03

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

Sr. No. Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, , Structure of the
Mathematical Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem,
Requirements of LPP, Mathematical Formulation of LPP, Graphical
method, Simplex Method Penalty Cost Method or Big M -method, Two
Phase Method, Revised simplex method, Duality , Primal – Dual
construction , Symmetric and Asymmetric Dual, Weak Duality Theorem,
Complimentary Slackness Theorem, Main Duality Theorem, Dual
Simplex Method, Sensitivity Analysis
Transportation Problem : Formulation, solution, unbalanced
Transportation problem. Finding basic feasibl e solutions – Northwest
corner rule, least cost method and Vogel‘s approximation method.
Optimality test: the stepping stone method and MODI method.
Assignment Problem : Introduction, Mathematical Formulation of the
Problem, Hungarian Method Algorithm, Processing of n Jobs Through
Two Machines and m Machines, Graphical Method of Two Jobs m
Machines Problem Routing Problem, Travelling Salesman Problem
Integer Programming Problem : Introduction, Types of Integer
Programming Problems, Gomory‘s cutting plane Algo rithm, 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

Page 44

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 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
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 fo r 2 X 2 games. 05
06 Inventory Models : Classical EOQ Models, EOQ Model with Price
Breaks, EOQ with Shortage, Probabilistic EOQ Model, 05

Assessment :

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

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

REFERENCES:
1. 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 45

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7016 Cyber Security and Laws 03

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

Sr.
No. Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the
world, Cybercrime and information security, Classifications of
cybercrime, Cybercrime and the
Indian ITA 2000, A global Perspective on cybercrimes. 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social
Engg, Cyber stalking, Cyber café and Cybercrimes, Botnets, Attack
vector, Cloud computing, Proliferation of Mobile and Wireless Devices,
Trends in Mobility, Credit Card Frauds in
Mobile and Wireless Computing Era, Security Challenges Posed by
Mobile Devices, Registry Settings for Mob ile Devices, Authentication
Service Security, Attacks on Mobile/Cell Phones, Mobile Devices:
Security Implications for Organizations, Organizational Measures for
Handling Mobile, Devices -Related Security Issues, Organizational
Security Policies and Measure s 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, Phishi ng, 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
Unde r 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 46

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Assessment :

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

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

REFERENCES:
1. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information Technology Act, 2000; Bare Act - Professional Book Publishers,
New Delhi.
4. Cyber Law & Cyber Crimes By Advocate Prashant Mali; Snow White Publications,
Mumbai
5. Nina Godbole, Information Systems Securit y, 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 47

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Cod e Course Name Credits
ILO7017 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 s tructures 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 emergency.
4. Get to know the simple do‘s and don‘ts in such extreme events and act
accordingly.

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

Page 48

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 04 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation and execution of
emergency management program. Scope and responsibilities of National
Institute of Disaster Management (NIDM) and National disaster
management authority (NDMA) in India. Methods and measures to avoid
disasters, Management of casualties, set up of emergency facilities,
importance of effective communication amongst different agencies in
such situations.
4.2 Use of Internet and softwares for effective disaster management.
Applications of GIS, Remote sensing and GPS in this regard. 06
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 relat ed to finance raising as
well as overall management of disasters. Various NGO‘s and the works
they have carried out in the past on the occurrence of various disasters,
Ways to approach these teams.
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 for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

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

Page 49

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 REFERENCES:
1. ‗Disaster Management‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by
O.S.Dagur, published by Centre for land warfare studies, New Delhi, 2011.
3. ‗Introduction to International Disaster Management‘ by Damon Copolla, Butterworth
Heinemann Elsevier Publications.
4. ‗Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis
group.
5. ‗Disaster management & rehabilitation‘ by Rajdeep Dasgupta, Mittal Publications,
New Delhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B
Singh, Rawat Publications
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 50

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7018 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 durin g performance evaluation and recommend energy
saving measures

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

Page 51

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in:
Steam distribution system, Assessment of steam distribution losses,
Steam leakag es, Steam trapping, Condensate and flash steam recovery
system.
General fuel economy measures in Boilers and furnaces, Waste heat
recovery, use of insulation - types and application. HVAC system:
Coefficient of performance, Capacity, factors affecting Refr igeration and
Air Conditioning system performance and savings opportunities. 10
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on:
Motors and variable speed drive, pumps, HVAC system calculations;
Lighting System: Installed Load Efficacy Ratio (ILER) method, Financial
Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED
rating, Application of Non -Conventional and Renewable Energy Sources 03

Assessment :

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

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

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

Page 52

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO7019 Development Engineering 03

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

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

Sr.
No. Module Contents Hrs
01 Introduction to Rural Development Meaning, nature and scope of
development; Nature of rural society in India; Hierarchy of settlements;
Social, economic and ecological constraints for rural development Roots
of Rural Development in India Rural reconstructi on and
Sarvodayaprogramme before independence; Impact of voluntary effort
and Sarvodaya Movement on rural development;
Constitutional direction, directive principles; Panchayati Raj - beginning
of planning and community development; National extension serv ices. 08
02 Post-Independence rural Development Balwant Rai Mehta Committee -
three tier system of rural local Government; Need and scope for people‘s
participation and Panchayati Raj; Ashok Mehta Committee - linkage
between Panchayati Raj, participation and rural development 04
03 Rural Development Initiatives in Five Year Plans Five Year Plans and
Rural Development; Planning process at National, State, Regional and
District levels; Planning, development, implementing and monitoring
organizations and age ncies; Urban and rural interface - integrated
approach and local plans; Development initiatives and their convergence;
Special component plan and sub -plan for the weaker section; Micro -eco
zones; Data base for local planning; Need for decentralized plannin g;
Sustainable rural development. 06
04 Post 73rd Amendment Scenario 73rd Constitution Amendment Act,
including - XI schedule, devolution of powers, functions and finance;
Panchayati Raj institutions - organizational linkages; Recent changes in
rural loca l planning; Gram Sabha - revitalized Panchayati Raj;
Institutionalization; resource mapping, resource mobilization including
social mobilization; Information Technology and rural planning; Need
for further amendments. 04

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 05 Values and Science and Technology Material development and its
values; the challenge of science and technology; Values in planning
profession, research and education.
Types of Values Psychological values — integrated personality; mental
health; Societal values — the modern searc h for a good society; justice,
democracy, rule of law, values in the Indian constitution;
Aesthetic values — perception and enjoyment of beauty; Moral and
ethical values; nature of moral judgment; Spiritual values; different
concepts; secular spirituality; Relative and absolute values;
Human values — humanism and human values; human rights; human
values as freedom, creativity, love and wisdom. 10
06 Ethics Canons of ethics; ethics of virtue; ethics of duty; ethics of
responsibility; Work ethics;
Professiona l ethics; Ethics in planning profession, research and education 04

Assessment:

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

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

References:
1. ITPI, Village Planning and Rural Development, ITPI, New Delhi
2. Thooyavan, K.R. Human Settlements: A 2005 MA Publication, Chennai
3. GoI, Constitution (73rd G oI, New Delhi Amendment) Act, GoI, New Delhi
4. Planning Commission, Five Year Plans, Planning Commission
5. Planning Commission, Manual of Integrated District Planning, 2006, Planning
Commission
New Delhi
6. Planning Guide to Beginners
7. Weaver, R.C., The Urban Comp lex, Doubleday.
8. Farmer, W.P. et al, Ethics in Planning, American Planning Association, Washington.
9. How, E., Normative Ethics in Planning, Journal of Planning Literature, Vol.5, No.2,
pp. 123 -150.
10. Watson, V., Conflicting Rationalities: -- Implications for P lanning Theory and Ethics,
Planning Theory andPractice, Vol. 4, No.4, pp.395 – 407

Page 54

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTL701 Automotive Mechatronics Lab 01
Prerequisites: MTL501 Sensors and Actuators Laboratory, MTL503 Mechatronic Systems
Modelling and Control Laboratory
Objectives:
1) Introduce Automotive Sensors and Actuators
2) Introduce CAN bus communication
3) Understand working of Automotive Mechatronic Systems

Outcomes: Students will be able to…
1) Implement battery charging / management
2) Communicate with sensors and actuators using CAN Bus
3) Implement and characterize automotive sensor and actuator
4) Implement automatic transmission.
5) Implement Automotive Mechatronic system.
Suggested List of laboratory experiments (Minimum Seven):
Sr. No. Experiment List
PART A Basics
01 Experiment on automobile charging system / Battery management system
02 Experiment on CAN bus training system
03 Experiment on characterization of automotive sensor.
04 Experiment on characterization of automotive actuator.
PART B Electronic Transmission
05 Experiment on automatic transmission trainer/ simulator
PART C Driver Assistance
06 Experiment on electric power steering demonstration setup
07 Experiment on Anti -lock braking system trainer/simulator
08 Experiment on electronic stability program Trainer / Simulator
09 Experiment on Adjustment systems (Power Window , Seat etc)

Term Work:
Term work consists of performing Part A and B and minimum 2 practicals from part
C mentioned as above. Final certification and acceptance of the term work ensures
satisfactory performance of laboratory work.
The distribution of marks for term work shall be as follows:
● Laboratory work (Experiment/journal) : 20 marks.
● Attendance (Theory and Practical) : 05Marks

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) wil l be on any one of the experiments from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTL702 Mechatronics Lab 01
Prerequisites: MTL501 Sensors and Actuators Laboratory, MTL502 Mechatronic Systems
Modelling and Control Laboratory
Objectives:
1) Introduce Modelling and simulation of Sensors and Actuators
2) Introduce Interfacing of sensors and actuators with control hardware
3) Introduce Mechatronic system development

Outcomes: Students will be able to…
1) Perform Modelling and simulation of Sensors and Actuators
2) Perform Interfacing of sensors and actuators with control hardware
3) Perform Mechatronic system development

Suggested List of laboratory experiments (Minimum Eight):
Sr. No. Experiment List
PART A Modelling and Simulation
01 Bond Graph Modelling of any one Sensor /Actuator and Transmission with
Simulation using 20Sim or similar software
02 Modelling of AC Servo Motor using Matlab / SciLab
03 System Identification and PID Tuning for any actuator
PART B Interfacing and Control
04 Interfacing with SPI /I2C protocol , Data acquisition and Experimental
characterization of any sensor with Virtual Instrument
05 Waveform based control of DC servo motor
06 AC Servo Motor Speed / Position control implementation
07 Control of any mechatronic system using digital PID implementation on
microcontroller
PART C System Development
08 Implement DC Servo and Ultrasonic sensor based planer ranging system
09 Inertial sensors and DC Servo motor based auto leveling 3D printed gimbal
development
10 Design and implement a linear actuation system for specified load and motion
characteristics
11 Implementation of electronic gearing / camming with 2 AC servo motors

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Term Work:
Term work consists of performing minimum 2 practical‘s each from part A, B and C
mentioned as above. Final certification and acceptance of the term work ensures
satisfactory performance of laboratory work.
The distribution of marks for term work shall be as follows:
● Laboratory work (Experiment/journal) : 20 marks.
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experiments from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTL7031 Digital Signal Processing Laboratory 01

Pre-requisite: MTDO501 : Signals and Systems
Objectives:
1. To simulate & analyze basic signals & systems for enhanced understanding of
concepts studied during theory class for MTE7051 subject.
2. To implement basic algorithms for signal processing on a DSP processor based kit.
Outcomes : Learner will be able to ...
1. Demonstrate programming skills for enhanced understanding of digital
signal processing concepts (e.g., convolution, correlation, DFT, FIR &
IIR filters, etc.) by analyzing digital signals & systems in time &
frequency domain.
2. Demonstrate application of DSP theory in practice by implementing a few
real-time signal processing algorithms, such as filtering for noise reduction,
generation of PWM signal, etc.
Teacher can conduct any ten experiments based on the syllabus of MT DO701 (Digital
Signal Processing).
Suggested List of laboratory experiments (Minimum Ten):
Sr. No. Experiment List
1 Generation of various basic digital signals and analyzing them in time &
frequency domain.
2 Understanding concept of convolution by passing sum of sinusoidal through a
digital low -pass filter.
3 Understanding concept of auto - and cross -correlation.
4 Simulating & analyzing notch/comb/all -pass/digital resonator filters in time &
frequency domain.
5 Concept of minimum phase system.
6 Concept of frequency resolution & zero -padding.
7 Analyzing various types of windows with respect to transition width & stop
band attenuation.
8 Design of basic FIR filter based on windowing.
9 Design of basic FIR filter based on frequency domain sampling method.
10 Design of basic IIR filter.
11 Design and implementation of IIR filter to meet given specifications.
12 Implementing linear filter using circular convolution.
13 Implementation of radix -2 FFT algorithm & demonstrating use of DFT
properties.
14 Analyzing finite word length effect on a digital filter..
15 Computation of DFT using DSP processor.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Term Work:
Term work consists of performing minimum 10 practical‘s mentioned as above. Final
certification and acceptance of the term work ensures satisfactory performance of
laboratory work.
The distribution of marks for term work shall be as follows:
● Laborato ry work (Experiment/journal) : 20 marks.
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experiments from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTL7032 Neural Network and Fuzzy Logic Laboratory 01

Pre-requisites: MTL404 Technical Computing Lab
Objectives:
1. To conceptualize the working of human brain using Artificial NeuralNetwork.
2. To become familiar with neural networks that can learn from available
examples and generalize to form appropriate rules for inferencesystems.
3. To introduce the ideas of fuzzy sets, fuzzy logic and use of heuristics based on
human experience.
Outcomes: Learner will be ableto…
1) Implement fuzzy controller for electromechanical systems
2) Implement Supervised and Unsupervised Learning algorithms

List of Experiments:
All the pro grams should be implemented in C/C++/Java/MATLAB under Windows or
Linux or Ubuntu environment. Experiments can also be conducted using available open
source tools like OCTAVE and SCILAB.
Suggested List of laboratory experiments (Minimum Eight):
Sr. No. Experiment List
1 One case study on Fuzzy/Neural/GA based papers published in
IEEE/ACM/Springer or any prominentjournal.
2 To implement activation function and problems on linearseparability
3 To implement Fuzzy sets andRelations.
4 To implement Fuzzy Controllers.(Application to be designed for
electromechanicalindustry)
5 To implement Basic Neural Network learningrules.
6 To implement any Supervised Learningalgorithm.
7 To implement any Unsupervised Learningalgorithm.
8 To implement a simple application using ANFIS.(Eg. Color recipes prediction,
Automobile Fuel EfficiencyPrediction)
Any other practical‘s covering the syllabus topics and subtopics can be conducted.
Term Work:
Term work consists of performing minimum 8 practical‘s mentioned as above. Final
certification and acceptance of the term work ensures satisfactory performance of
laboratory work.
The distribution of marks for term work shall be as follows:

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 ● Laboratory work (Experiment/journal) : 2 0 marks.
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experiments from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTL7033 Finite Element Analysis Laboratory 01
Prerequisites: MTC301: Engineering Mathematics -III, MTC401: Engineering Mathematics -
IV, MTC404 Strength of Material, MTC501 CAD&CAE
Objectives:
1. To introduce the concepts of use of FEAsoftware.
2. To study the applicability of FEM to a range of EngineeringProblems.
3. To acquaint with applications of numerical techniques for solvingproblems.
Outcomes: Learner will be able to…
1. Use FEA software for solutions of various engineeringproblems.
List of Assignment:
Students should use the commercial software or programmes from the text -books or
self- developed programs, to verify the results obtained by manual calculations. The
input data and output results of the problem solved using the computer programs
should be included in the Journal. The proposed list is as given be low;
Suggested List of laboratory experiments (Minimum Six):
Sr. No. Experiment List
1 Any two problem using barelement
2 Any two problems using trusselement
3 Any two problems using CSTelement
4 Any one problem using axisymmetricelement
5 Any one problem of free vibration analysis using barelement
6 Any one problem on Steady State Heatconduction.
7 Course Project:
A group of not more than four (04) students, shall do Finite Element
Analysis of any mechanical engineering element/system, which involves
element selection, assigning properties, meshing, assigning loads and
boundary conditions, analysis and result interpretation.
Term Work:
Term work consists of performing minimum 6 Exercises and course project as
mentioned above. Final certificat ion and acceptance of the term work ensures
satisfactory performance of laboratory work.
The distribution of marks for term work shall be as follows:
● Laboratory work (Experiment/journal) : 10 marks.
● Course Project 10 marks
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experiments from the list and oral exam (10 marks) will
be based on th e entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credit
MTP701 Major Project I 03

Course Objectives: The course aims:
The Project work facilitates the students to develop and prove Technical, Professional and
Ethical skills and knowledge gained during graduation program by applying them from
problem identification, analyzing the problem and designing solutions.

Course Outcomes:
1 Students will be able to develop the understanding of the problem domain through
extensive review of literature.
2 Students will be able to identify and analyze the problem in detail to define its scope
with problem specific data.
3 Students will be able to identify various techniques to be implemented for the
selected problem and related technical skills through feasibility analysis.
4 Students will be able to design solutions for real -time problems that will positively
impact society and environment..
5 Students will be able to develop clarity of presentation based on communication,
teamwork and leadership skills.
6 Students will be able to inculcate professional and ethical behavior..

Guidelines:

1. Project Topic Selection and Allocation:

 Project topic selection Process to be defined and followed:
o Project orientation can be given at the end of sixth semester.
o Students should be informed about the domain and domain experts whose
guidance can be taken before selecting projects.
o Student‘s should be recommended to refer papers from reputed conferences/
journals like IEEE, Elsevier, ACM etc. which are not more than 3 years old
for review of literature.
o Students can certainly take ideas from anywhere, but be sure that they should
evolve them in the unique way to suit their project requirements. Students can
be informed to refer Digital India portal, SIH portal or any other hackathon
portal for problem selection.
 Topics can be finalized with respect to following criterion:
o Topic Selection : The topics selected should be novel in nature (Product based,
Application based or Research based) or should work towards removing the
lacuna in currently existing systems.
o Technology Used: Use of latest technology or modern tools can be
encouraged .
o Students should not repeat work done previously (work done in the last three
years).

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019  Project work must be carried out by the group of at least 2 students and maximum 4.
 The project work can be undertaken in a research institute or
organization/Industry/any b usiness establishment. (out -house projects)
 The project proposal presentations can be scheduled according to the domains and
should be judged by faculty who are expert in the domain.
 Head of department and senior staffalong with project coordinators will t ake decision
regarding final selection of projects.
 Guide allocation should be done and studentshave to submit weekly progress report to
the internal guide.
 Internal guide has to keep track of the progress of the project and also has to maintain
attendanc e report. This progress report can be used for awarding term work marks.
 In case of industry/ out -house projects, visit by internal guide will be preferred and
external members can be called during the presentation at various levels

2. Project Report For mat:
At the end of semester, each group need to prepare a project report as per the guidelines
issued by the University of Mumbai.

A project report should preferably contain at least following details:
 Abstract
 Introduction
 Literature Survey
 Survey of Existing systems
 Limitations of Existing systems or research gaps
 Motivation (Challenges that are encouraging to choose the problem)
 Problem Statement and Proposed Solution
 Scope of the system
 Proposed System
o General Workflow/Block diagram
 Analysis and M odeling (only applicable diagrams)
 Design
o Architectural View
o Algorithms/ Methodology
 Experimental Set up
o Details of Database or details about input to systemsor selected data
o Performance Evaluation Parameters (for Validation)
o Software and Hardware Set up
 Implementation Plan for Next Semester
o Timeline Chart for Term1 and Term -II (Project Management tools can be
used.)
 Summary
 References

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Desirable
● Students can be asked to undergo some Certification course (for the technical skill set
that will be useful and applicable for projects.)

3.Term Work:

Distribution of marks for term work shall be done based on following:

a. Weekly Log Report
b. Project Work Contribution
c. Project Report (Spiral Bound) (both side print)
d. Term End Presentation (Internal)

The final certification and acceptance of TW ensures the satisfactory performance on the
above aspects.

4. Term work evaluation:

Term work evaluation for Project 1 should be conducted by Internal examiner on
continuou s basis throughout the semester.

Suggested quality evaluation parameters are as follows:
1. Quality of problem selected
2. Clarity of problem definition and feasibility of problem solution
3. Relevance to the specialization / industrial trends
4. Originality
5. Clarit y of objective and scope
6. Quality of analysis and design
7. Quality of written and oral presentation
8. Individual as well as team work

Page 66

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTC801 Industrial Automation and Industry 4.0 03

Prerequisite: MTC502 Sensors and Actuators, MTC603 Instrumentation and Control, ,
MTC604 Applied Hydraulics and Pneumatics

Objectives
1) To prepare the learner for a career in modern manufacturing using industrial
automation
2) Introduce technologies related to upcoming Industry 4.0 paradigm
Outcomes: Learner will be able to...
1) Identify opportunities for automation in manufacturing
2) Plan design and implement automation systems
3) Program industrial controller for automation application
4) Explain scope and benefit of industry 4.0 technologies

Module Detailed Contents Hrs.
01
Need and Types of Automation, Industry 4.0
1.1 Productivity in Manufacturing, Work Study, Need for Automation,
Evolution of automation, Automation hierarchy.
1.2 Industrial Revolutions 1,2,3,4, How manufacturing changed at each IR
Relentless increase in computational power (Moore‘s law),basket of
technologies which make up Industry 4.0. Reference Architecture Model
of Industry 4.0 (RAMI) 5
02
Machine Systems
2.1 Structure and Framing: Aluminum profiles, piping and other. Electrical
Enclosures NEMA Ratings
2.2 Material Handling (Types, working and application)
- Feeders: Vibratory Bowls and Feeders, Escapement
- Bearings: Linear Motion Bearings,
- Conveyors: Belt, Roller, Chain and mat, Vibrating, Pneumatic
2.3 Common Mechanisms (Types, working and application)
- Indexers: Ratchet and Pawl, Cam driven, Geneva, Walking beam
- Ball Screws and Belt -Driven Linear Actuator s
- Clutches and brakes
2.4 Assembly Techniques Fasteners , couplings. 6
03
Automation Circuits
3.1 Introductory Principles in Designing Automation Circuits: Latch,
Command
3.2 Circuits for Motor Operation with Thermal Overload Protection, Machine
operation with (a) Fault Indication, (b)Starting Delay (c) Stopping Delay,
(d) Automatic or Manual control. Electrical and mechanical latch,
Sequential start of machines (Chain latch) Automation Circuits for
Motors: Motor with Inversion in Rotation (Permanent and instantaneous),
Motor with Star delta start.
3.3 Introduction to Logical Design of Automation Circuits: State Diagrams,
Sequential Automation Systems. 6

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
04
Industrial Controllers and Programming
2.1 Types of industrial controllers, Differences in architecture, power,
programming, applications of PLCs, Microcontrollers, Computer numeric
controller, PC Based control, Edge controllers.
2.2 IL, Ladder, FBD implementation of PLC programming for AND, OR
logic and its combination, self -holding logic using S and R, Applications with
timer and counter. PID control in PLC.
2.3Implementation of Industrial automation tasks (stamping, sorting, etc. a)
with electro -pneumatic circuit, PLC wiring diagram and ladder diagram. (
3hrs)
2.4 Implementation of Industrial automation tasks (Using Conveyor, Valves
etc) with PLC wiring and ladder diagrams. (3 Hrs)
8

05 2.3 HMI Types: Control Panel, Display panels, Touch screen. New age
AR/VR, Multiverse.
2.4 Supervisory control SCADA, DCS
4

06
Communication in Automation
PLC Networks, Topology: Star, Ring and Bus. Communication Protocols:
Master /Slave, CSMA CD, Token Passing. Communication Task in PLC, Total
communication time, Actuator -Sensor Interface (AS -I) Network, Profibus
Network
IIoT ( 4 layer structure ), Communication media – industrial bus systems, Blue
tooth, WiFi, 3G/4G/5G Open protocols – OPC -UA ; REST API Industrial
Communication standards , IOT Cloud computing, Block Chain and security,
Cyber security 8

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire
syllabus wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2
has part (a) from module3 then part (b) will be from any module
other than module3)
5. In question paper weightage of each module will be
proportional to number of respective lecture hrs as
mentioned inthe syllabus.

Referen ces:

Page 68

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 1) ―Industrial Automation Hands -On‖ by Frank Lamb, McGraw -Hill Education 2013
2) ―Introduction to Industrial Automation‖ Stamatios Manesis, George Nikolakopoulos
CRC Press 2018
3) ―Industrial Automation and Robotics‖ A K Gupta, S K Arora University Science Press
4) ―Industrial Automation Technologies‖ Chanchal Dey, Sunit Kumar Sen CRC Press
5) ―Industrial Automation Solutions For Plc, Scada, Drive And Field Instruments: Easy To
Learn Industrial Automation‖ Kataria Sanjay
6) ―The Internet of Things in the Industrial Sector Security and Device Connectivity, Smart
Environments, and Industry 4.0‖ Zaigham Mahmood Editor, Springer 2019
7) ―Internet of Things A Hands -ON Approach‖ ArshadeepBagha , Vijay Madisetti
Universities Press 2018

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/108105088
https://nptel.ac.in/courses/106105195

Page 69

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTDLO8051 Industrial IOT 03
Prerequisite: MTC504 Embedded Systems

Objectives:
1.To equip students with the fundamental knowledge and basic technical competence in the
field of Industrial Internet of Things (IoT).
2. To explore and analyze the protocols, process and, framew orks required for deployment of
Industrial IoT.
3. To understand the impact of Industrial IoT applications and challenges associated with it.

Outcomes: Learner will be able to...
1. Understand the concepts of IoT and building blocks of IoT.
2. To elaborate the principles and process involve in Industrial IoT.
3. To identify the required protocols, tools and frameworks for Industrial IoT.
4. To analyze the impact of Industrial IoT -based applications.
5. To explore the different challenges associated with deployment o f Industrial IoT.

Module Detailed Contents Hrs.

01
A review of IoT Technologies: What is IoT? –IoT and Digitization, IoT
Impact –Connected Roadways, Connected Factory, Smart Connected
Buildings, Smart Creatures, Convergence of IT and OT, The oneM2M,
IoT Standardized Architecture, IoT Data Management and Compute
Stack –Design considerations and Data related problems, Fog
Computing, Edge Computing, The Hierarchy of Edge, Fog and Cloud
6

02 Building Blocks of IoT: Characteristics of IOT, Physical Design of IOT:
Things, Communication protocol stacks: IOT Protocols used in Link,
Network, Transport and Application layer, Logical Design of IOT: IOT
functional blocks, IOT Communication models, APIs.
IOT Enabling Technologies: Wireless Sensor Networks, C loud
Computing, Big Data Analytics, Communication Protocols, Embedded
Systems. IOT Levels and Deployment Templates: IOT Levels 1 to 6. 6

03
Industrial Internet of Things (IIoT): Principles, Processes and
Protocols
Industry 4.0: Managing the Digital Transformation, Conceptual
framework for Industry 4.0, Industrial IoT (IIoT) - Introduction, Business 6

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Model and Reference Architecture, Industrial IoT Layers, Sensing,
Processing, Communication, Cyber Physical Systems and Next
Generation Sensors, Collabora tive Platform and Product Lifecycle
Management,
04 Communication and Networking for the Industrial Internet of
Things
Enabling IoT Technologies -Radio Frequency Identification Technology,
Micro -Electro -Mechanical Systems (MEMS), NFC (Near Field
Communication), Bluetooth Low Energy (BLE), LTE -A (LTE
Advanced), IEEE 802.15.4 –Standardization and Alliances, ZigBee.
Messaging Protocol Standards: MQTT, MQTT -SN,AMQP, XMPP,
COAP, HTTP , OPC -UA , LWM2M. Tools and Frameworks for
Modeling, Development, and Deployment, IoT Cloud Integration
Platforms 8
05 Applications of Industrial IoT: Internet of Things and New Value
Proposition, Examples for IoTs Value Creation in Different Industries like
Healthcare, Power Plants, Inventory Management & Quality Control,
Plant Safety and Security, Facility Management. 05
06 Challenges in Industrial IoT: : Wireless Coexistence, Latency,
Interoperability, Sensor Data Streaming, Safety, Security and Privacy,
Intrusion Detection, Intrusion Prevention, Runtime Security Monitoring 05

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub - questions
of 2 to 5 marks will b e asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has part (a) from module3
then part (b) will be from any module other than module 3)
5. In question paper weightage of each module will be proportional to number of respective
lecture hrs as mentioned in the syllabus.

Page 71

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
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‖, 1stEdition, Publishedby Pearson Education, Inc, publishing as Cisco Press,2017.

2. ArshdeepBahga, Vijay Madisetti, ―Internet of Things –Hands -On Approach‖, 2ndEdition,
Universities Press, 2016.

3. Giacomo Veneri, Antonio Capasso,‖ Hands -On Industrial Internet of Things: Create a
powerful Industrial IoT infrastructure using Industry 4.0‖, Packt

4. Sabina Jeschke, Christian BrecherHoubing Song, Danda B. Rawat Edited ―Industrial
Internet of Things Cyber Manufacturing Systems‖, Springer Publications

5. Zaigham Mahmood edited, ― The Internet of Things in the Industrial Sector - Security and
Device Connectivity, Smart Environments, and Industry 4.0‖ Springer Publications

6. Ismail Butun edited, ― Industrial IoT - Challenges, Design Principles, Applications, and
Security‖, Springer Publications

Sugg ested MOOCs:
1. https://onlinecourses.nptel.ac.in/noc20_cs69 - Introduction to Industry 4.0 and Industrial
Internet of Things, By Prof. Sudip Misra, IIT Kharagpur
2. https://www.edx.org/course/industry -40-how-to-revolutionize -your-business - Industry
4.0: How to Revolutionize your Business
3. https://onlinecourses.nptel.ac.in/noc21_cs17 - Introduction to internet of things, by Prof.
Sudip Misra , IIT Kharagpur
4. https://onlinecourses.nptel.ac.in/noc21_cs08 - Embedded Systems Design
5. By Prof. Anupam Basu, IIT Kharagpur

Recommended list of tools for self learning:
1. Node Red - https://nodered.org/
2. M2MLabs Mainspring - http://www.m2mlabs.com/
3. Tensor Flow - https://www.tensorflow.org/
4. Things Speak - https://thingspeak.com/

Page 72

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO8052 Communication Systems 03

Prerequisite: MTC301 Engineering Mathematics -III, MTC305: Applied Electrical and
ElectronicsEngineering, MTC502: Sensors and Actuators
Objectives:
1. To teach fundamental principles of basic communicationsystems.
2. To teach the various characteristics of different types ofantennas.
3. To teach the cellularconcepts.
Outcomes: Learner will be able to...
1. Compare and contrast the significance and limitations of
analog and digital communication systems.
2. Demonstrate the know ledge of antennas in communication systems
3. Demonstrate a clear understanding of fundamentals of
wireless and mobile communication systems and
standards.
Module Detailed Contents Hrs.
01
Basics of Communication System
1.1 Block diagram, electromagnetic spectrum, types of
communication channels
1.2 Types of noise, signal to noise ratio, noise figure, and
noisetemperature 4
02
Analog Communication
2.1 Amplitude Modulation: Basic concept, signal representation,
need for modulation, Spectrum, waveforms, modulation index,
bandwidth, voltage distribution, and power calculation.
2.2 DSBFC, DSB suppressed carrier,Single Side
Band(SSB): Principle,low level and high level transmitters
Amplitude modulators: switching modulator, balance d/product
modulator, phase shift method and third Method.
2.3 Amplitude demodulation: Diode detector,square lawdetector. 8
03
3.1 Frequency modulation (FM): Basic concept, mathematical analysis,
frequency spectrum of FM wave, sensitivity, phase deviation and
modulation index, frequency deviation and percent modulated waves, 8

Page 73

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 3.2 Transmitter: Direct FM transmitter, indirect FM Transmitter, noise
triangle in FM, pre -emphasis and de -emphasis.
3.3 FM demodulation: Balance slope detector, Foster -Seely
discrimi nator, ratio detector, Phase lock loop(PLL) FM demodulator,
amplitude limiting and thresholding, comparison between FM
demodulators,

04
Digital Communication
4.1 Introduction to digital communication system, significance of
AWGN channel,
4.2 Digital Modulation formats, coherent and non -coherent reception.
4.3 Binary Modulation Techniques: BPSK, BFSK andBASK.
4.4 M-ary Modulation techniques: QPSK, M -ary PSK,
MSK, M-aryFSK, M -ary QAM 10

05 Antennas and Wave Propagation
5.1 Antenna Parameters: Radiation intensity, directive gain,
directivity, power gain, beam width, band width,
5.2 Reciprocity principle, effective length and effectivearea,
5.3 Antenna Types: Wire antenna,ApertureAntennas,Microstrip
Antennas,ReflectorAntennas,Traveling -wave Antennas,Array
Antennas 4

06
Wireless Communication Systems and application
6.1 Description of cellular system, Frequency Reuse, Co -channel
andAdjacent channel interference,
6.2 Evolution of Modern Mobile Wireless Communication System,
GSM in Wireless Communication, Wireless Local
AreaNetwork s
(WLANs), Communication protocols.
6.3 Case study on Applications of communication inmechatronics 5
Assessment :

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

Page 74

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire
syllabus wherein sub - questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2
has part (a) from module3 then part (b) will be from any module
other than module3)
5. In question pape r weightage of each module will be
proportional to number of respective lecture hrs as
mentioned inthe syllabus.

References :
1. Kennedy and Davis, ― Electronics Communication System ‖, Tata McGraw
Hill, Fourth edition.
2. Taub Schilling and Saha, ― Principles Of Communication Systems ‖,
Tata Mc-Graw Hill,Third Ed.
3. R.K. Shevgaonkar, ― Electromagnetic Waves ‖, TATA McGraw
Hill Companies, 3rd Edition, 2009.
4. Theodore S. Rappaport, ―Wireless Communications‖, Prentice Hall of India, PTR
publication.
5. Vijay Garg, ―Wireless Communications & Networking (The Morgan Kaufmann
Series in Networking)‖, Morgan Kaufmann Publishers, 1st Edition

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/108104091
https://nptel.ac.in/courses/117102059

Page 75

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO8053 AI and Machine Learning 03

Prerequisite: MTC401 Engineering Mathematics IV, MTC302 Data Structure and
Algorithms
Objectives
1. Identify the various characteristics of Artificial Intelligence and Machine Learning
2. Solve the problems using suitable searching methods.
3. Solve the problems using suitable reasoning and knowledge representation methods.
Outcomes: Learner will be able to…
1) Choose an appropriate problem solving method for an agent to find a sequence of
actions to reach the goal state.
2) Analyze the strength and weakness of AI approaches to knowledge representation,
reasoning and planning.
3) Solve a planning problem by selecting the appropriate planning type.
4) Identify and select Learning type for given problem
5) Apply suitable machine learning techniques for a given problem
6) Solve the problems using various machine learning techniques

Module Detailed Contents Hrs.
01
Introduction to Artificial Intelligence(AI) and Machine Learning
1.1 Introduction and Definition of Artificial Intelligence.
1.2 Intelligent Agents: Agents and Environments, Rationality, Nature of
Environment, Structure of Agent, types of Age nt
1.3 Introduction to Machine Learning, Types of Machine Learning,
Issues in Machine Learning, Application of Machine Learning, Steps
in developing a Machine Learning Application. 4
02
Problem Solving
2.1 Problem Solving Agent, Formulating Problems, Example Problems
2.2 Uninformed Search Methods: Depth Limited Search, Depth First
Iterative Deepening (DFID), Informed Search Method: A* Search
2.3 Optimization Problems: Hill climbing Search, Simulated annealing,
Genetic algorithm 6
03
Knowledge, Reasoning and Planning
3.1 Knowledge based agents
3.2 First order logic: syntax and Semantic, Knowledge Engineering in
FOL Inference in FOL: Unification, Forward Chaining, Backward
Chaining and Resolution
3.3 Planning Agent, Types of Planning: Partial Order, Hierarchical Order,
Conditional Order 10

04
Learning with Regression and trees
4.1 Learning with Regression: Linear Regression, Logistic Regression.
4.2 Learning with Trees: Decision Trees, Constructing Decision Trees
using
Gini Index, Classification and Regression Trees (CART). 4

Page 76

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
05 Classification:
5.1 Rule based classification, classification by Bayesian Belief networks,
Hidden Markov Models.
Support Vector Machine:
5.2 Maximum Margin Linear Separators, Quadratic Programming
solution to finding maximum margin separators, Kernels for learning
non-linear functions.
Clustering:
5.3 Expectation Maximization Algorithm, Supervised learning after
clustering, Radial Basis functions. 10

06
Implementing Mechatronic Applications with AI
6.1 Mechatronics in rescue
6.2 The Intelligent Robotic Car 5
Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus
wherein sub - questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module 3 )
5. In question paper weightage of each module will be proportional to
number of respective lecture hrs as mentioned in the syllabus.
References:
1. Stuart J. Russell and Peter Norvig, "Artificial Intelligence A Modern Approach
Second Edition" Pearson Education.
2. N.P.Padhy, ―Artificial Intelligence and Intelligent Systems‖, Oxford University Press.
3. Tom M.Mitchell, ―Machine Learning‖‖, McGraw Hill
4. EthemAlpaydın, ―Introduction to Machine Learning‖, MIT Press
5. Elaine Rich and Kevin Knight, ―Artificial Intel ligence‖ Third Edition, Tata McGraw -
Hill Education Pvt. Ltd., 2008.
6. Han Kamber, ―Data Mining Concepts and Techniques‖, Morgann Kaufmann
Publishers
7. Margaret.H.Dunham, ―Data Mining Introductory and Advanced Topics‖, Pearson
Education
8. Jeffrey Johnson and Phil ip Picton, ―Concepts in Artificial Intelligence, Designing
Intelligent Machines‖

Links for online NPTEL/SWAYAM courses: ricent), IIT s
1. https://nptel.ac.in/courses/106106139
2. https://nptel.ac.in/courses/106105078

Page 77

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO8061 Robotics and Machine Vision 03

Prerequisite: MTC402 Kinematics of Machinery, MTC502 Sensors and Actuators, MTC503
Mechatronic Systems Modelling and Control,
Objectives
1. To familiarize the students with the significance of robotic system in agile and
automated manufacturing processes.
2. To prepare the students to be conversant with robotic elements/ peripherals, their
selection and interface with manufacturing equipment‘s.
3. To familiarize the students with the basics of robot kinematics.
Outcomes: Learner will be able to...
1. Select robot for industrial task and identify areas in which robot can be deployed in
industry.
2. Program wheeled mobile robots for industrial tasks.
3. Select, deploy and program industrial robot arms for industrial tasks.
4. Develop skills in machine vision
5. Develop skills in applying machine vision for robot control.

Module Detailed Contents Hrs.
01
Robot ISO Definition, Types: Industrial, Automatic Guided Vehicles, Walking,
Parallel Special Purpose etc. Robot Subsystems: Motion, Recognition, Control
Industrial Robot Anatomy, 4 Common Configurations, Robot Motions, Joint
Notation Scheme, Work Volume, Drive Systems, Speed, Load Carrying
Capacity, Precision of Movement (Resolution, Accuracy, Repeatability,
Compliance). Motion Control Programming, Industrial Applications for
Material Handling , Processing , Assembling. 5
02
Wheeled Mobile Robot Vehicles:
Kinematics of Wheeled Mobile Robots: Forward and inverse kinematics of
Differential Drive, Car (Ackermann) Drive, Synchronous Drive,
Omnidirectional Drive.
Wheeled Mobile Robot Control : Control to Reference Pose, Orientation
Control for Differential Drive, Ackermann Drive,Forward -Motion Control,
Following a Line, following a Path, Moving to a Pose. 9
03
Arm -Type Robots:
Coordinate Frames, Rotations, Homogeneous Coordinates, DH parameters,
Arm Equation of Planer Robot, Four axis SCARA Robot, TCV, Inverse
Kinematics of Planer Robot, Four Axis SCARA Robot, 6 Axis Robot Arm,
Jacobian, Singularity, and Static s.
Trajectory Planning & Robot Dynamics:
Manipulator Path Control - Linear, Quadratic and Cubic Interpolation, Work
Space Analysis, Robot Dynamics –Langrangian Dynamics of one and two link
robot arm.
Programming Robot languages and programming for industrial applications. 10

04
Computer Vision Light and Color, Spectral Representation of Light
Absorption, Reflection, Color, Reproducing Colors, Chromaticity Space, Color
Names, Other Color Spaces, Transforming between Different Primaries.
Image Formation ,Perspective Transform , Lens Distortion , Camera
Calibration Homogeneous Transformation 4

Page 78

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
05 Image Processing Obtaining an Image from Files, Camera, Movie and Web.
Monadic Operations, Diadic Operations, Spatial Operations, Convolution
Template Matching, Non -Linear Operations
Image Feature Extraction: Region Features, Classification, Representation
Description, Recap, Line Features, Point Features, Classical Corner Detectors,
Scale -Space Corne r Detectors.
6

06
Vision -Based Control , Position -Based Visual Servoing ,Image -Based Visual
Servoing ,Camera and Image Motion Controlling. 5
Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has part (a)
from module3 then part (b) will be from any module other than module3)
5. In question paper weightage of each module will be proportional to number of
respective lecture hrs as mentioned inthe syllabus.
References:
1. ―Introduction to Robotics‖, S. K. Saha McGraw Hill
2. ―Industrial Robotics Technol ogy Programming and Applications‖, MP Groover, M.
Weiss, R. N. Nagel, N. G. Odrey
3. ―Wheeled Mobile Robotics From Fundamentals Towards Autonomous Systems‖,
Gregor Klanˇcar ,AndrejZdešar, SašoBlažiˇc, Igor Škrjanc, Elesvier Butterworth -
Heinemann 2017
4. ―Robotic s, Vision and Control Fundamental Algorithms InMatlab®‖ Peter Corke
Springer.
5. ―Robot Dynamics and Control‖, Mark Spong, Wiley India
6. ―Introduction to Robotics Mechanics and Control‖ John Craig, Pearson

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/112105249
https://nptel.ac.in/courses/107106090

Page 79

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO8062 UAV Systems 03

Prerequisite: MTC304 Basic Electronics and Digital Circuit Design, MTC502 Sensors and
Actuators, MTC503 Mechatronic Systems Modelling and Control.
Objectives
1) Introduce different small aircraft and their construction
2) Introduce design of Airframe for fixed -wing and multicopters
3) Familiarize with modelling and evaluation of Propulsion System
4) Introduce Sensors and perception used in UAV Systems
5) Introduce stability and controllability
6) Introduce autonomous control of UAV Systems

Outcomes: Learner will be able to...
1) Explain construction of various types of unmanned aerial vehicles
2) Perform design of Airframe with various considerations for fixed -wing and
multicopter systems
3) Model the propulsion system of fixed -wing and mu lticopter systems.
4) Select sensors based on requirements of perception for UAV system.
5) Implement control for stable operation.
6) Implement autonomous control for UAV systems.

Module Detailed Contents Hrs.
01
Introduction
Classification of Commonly Used unmanned aerial systems, Fixed wing,
multirotor and hybrid.
Components: Basic Composition, Introduction Airframe, Control Surfaces,
Fuselage, Landing Gear, Duct, Propulsion System, Propeller, Motor, Electronic
Speed Control ler, Battery.
Command and Control System ,RC Transmitter and Receiver Autopilot ,
Ground Control Station, Radio Telemetry. 5
02
Airframe Design ,
Configuration Design, Airframe Configuration, Aerodynamic Configuration,
Control Surfaces , Structural Design, Design Principles of Airframe,
Anti-Vibration Consideration , Noise Reduction Consideration 6
03
Modeling and Evaluation of Propulsion System, Problem Formulation.
Power sources for propulsion, Propulsion System Modeling,
Propeller Modeling,
Electrical Propulsion: Motor Modeling, Electronic Speed Controller
Modeling, Battery Modeling 6

04
Perception
Sensor Calibration and Measurement Model , Fundamental Principle,
Calibration, Measurement Model of Three -Axis Accelerometer, Three -Axis
Gyroscope, Magnetometer, Ultrasonic Range Finder, Barometer, 2D Laser
Range Finder Supplement: LiDAR, Global Positioning System
Supplement: Latitude -and-Longit ude Distance and Heading Calculation
Camera Fundamental Principle , Calibration, Measurement Model 8

Page 80

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
05 Stability and Controllability , Definition of Stability, Stability Criteria,
Stability of Fixed wing and multicopters , Basic Concepts of Controllability ,
Classical Controllability, Positive Controllability , Controllability of Fixed
wing and Multicopters , Fixed wing and Multicopter System Modeling ,
Framework of Low -Level Flight Control of Multicopters, Closed -loop
structure of a low -level fight control system for multicopters. 8

06
Communication Technologies for RC: Radio , WiMax, Zigbee
Mission Decision -Making , Fully -Autonomous Control , Brief Introduction
,Mission Planning , Path Planning, Semi -Autonomous Control, Three Modes of
SAC ,Radio Control , Automatic Control Switching Logic Between RC and
AC. 6

Assessment :

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

End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying20marks.
2. Total 04 questions need tobe solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questions of 2 to 5 marks willbe asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has part (a) from
module3 then part (b) will be from any module other than module3)
5. In question paper weightage of each module will be proportional to number of
respective lecture hrs as mentioned inthe syllabus.

References:
1) ―Introduction to M ulticopter Design and Control‖ Quan Quan, Springer
2) ―Unmanned Aircraft Systems UAVs Design, Development and Deployment‖ Reg
Austin Wieley 2010
3) ―Introduction to Unmanned Aircraft Systems‖ Douglas M. Marshall • R. Kurt
Barnhart
Eric Shappee • Michael Most, CRC Press 2016
4) ―Theory, Design and Applications of Unmanned Aerial Vehicles‖A. R,. Jha CRC
Press 2017

Links for online NPTEL/SWAYAM courses:
https://www.digimat.in/nptel/course s/video/101104073/L01.html
https://www.digimat.in/nptel/courses/video/101104083/L01.html
https://nptel.ac.in/courses/101104062

Page 81

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
MTDLO8063 Engineering Management and Economics 03

Prerequisite: MTL504 Professional Communication and Ethics -II,
Objectives -
1.To prepare the students to understand and appreciate the basic fundamentals of
management concepts, theory and application.
2. To make the students understand the building blocks of various management
processes in organizations.
3. To give the students an exposure to concepts of project management.
4.To prepare the students, such that they are able to comprehend the need, definition,
functions and economic significance of financial institutions and markets.
Outcomes: Learner will be able to…
1. Understa nd and appreciate the basics of managerial concepts and practices used in
day to day practices in organizations.
2.Creating organization structure and use insight to make more effective decisions
3. Appreciate the need to prepare oneself for holistic think ing and effectively
managing organizations.
4.Develop competency in project management.
5.Understand economics and correlate economic concepts.
6. Understand and apply basic financial management in industrial context.

Module Detailed Contents Hrs.
01
Introduction to management:
Brief history of Indian business scenario and recent changes, Globalization
and competition, Need for managerial knowledge and skills.
Management:
Science, Theory and Practice: Definition of Management, Its nature an d
purpose, Managing - Science or Art? Contributions of F.W. Taylor and
Henry Fayol to management theory, Functions of managers, Management
and Society: Social responsibility of managers, Ethics of managing. 5
02
Decision making:
Importance and limitations of rational decision making, Rationality in
decision making, Evaluation of alternatives, Selecting an alternative - three
approaches, Programmed and Non -programmed decisions.
Organizing: The nature and purpose of organizing, formal and informal
organization. Organization levels and Span of management, Principle of
span of management and the factors determining an effective span. The
structure and process of organizing, Matrix organization, Strategic
business units, Line & staff concepts, Fu nctional authority, Benefits and
limitations of staff, Decentralization of authority, Delegation of authority. 7

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 03
Planning:
Types of plans, Steps in planning, The planning process, Objectives -
Nature of objectives. Concept in Management By Objectives (MBO),
Process of MBO, Benefits and weakness of MBO.
Staffing:
HRM and selection: Definition of Staffing, Systems approach to HRM:
Overview of staffing, Situational factors affecting staffing. Selection
matching the person with the job, Systems approach to selection, Position
requirements and job design, Skills and personal characteristics needed by
managers, Performance appraisal and its purpose.
Leading:
Human factors in managing, Behavioral models, Motivation: Motivation
and motivators. Theory of Maslow‘s Hierarchy of needs, Motivation
-Hygiene approach to motivation, Theory X and Theory Y, Special
Motivational techniques.
Leadership:
Definition, Ingredients of leadership, Leadership behavi or and styles,
Communication: Communication process, Communication in an
enterprise, Barriers and breakdowns in communications.
Controlling:
Basic control process, Critical control points and standards, Control as a
feedback system, Feed forward control, Requirements for effective control.
9

04
Project management: Gantt Charts, concepts of project planning,
monitoring and control, elements of network analysis –PERT & CPM, cost
analysis & crashing. 8

05 Introduction to economics:
Definition of Economy, Central problems of an economy: what, how and
for whom to produce; concepts of production possibility frontier and
opportunity cost. Economics, its scope and importance. Introduction to
Micro and Macroeconomics and their comparison. 4

06
Financial Management: Function of financial management, Nature of risk;
interrelationship between risk and return; Project Costing, Costs and profits,
Return on Investment, Balance Sheet statements, Analysis and
interpretation of standard financial stateme nts. 6

Assessment :

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

Page 83

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 End Semester Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus
wherein sub - questions of 2 to 5 marks will be asked.
4. Remaining questions will be mixed in nature. (e.g. Suppose Q.2 has
part (a) from module3 then part (b) will be from any module other than
module 3)
5. In question paper weightage of each module will be proportional to
number of respective lecture hrs as mentioned in the syllabus.

References:
1. Principles of Management, Harold Koontz, H. Weihrich, and A.R. Aryasri, Tata
McGrawHill, New Delhi.
2. Essential of Management, Harold Koontz and H. Weihrich,Tata Mc Graw -Hill, New Delhi.
3. Management of Organizational Behavior, Hersy, Paul and Kenneth Blanchard, PHI
4. Essentials of Microeconomics, KristerAhlersten
5. Essentials of Macroeconomics, Peter Jochumzen
6. Operation Research by J K Sharma, Macmillan
7. Operation Research by Hamdy H. Taha, Pearson/Prentice Hall
8. ―Fundamentals of Engineering Economics‖ Chan S. Park Pearson 2013

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/110104073
https://nptel.ac.in/courses/112107209
https://nptel.ac.in/courses/110106062
https://nptel.ac.in/courses/1101 07144

Page 84

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8021 Project Management 03

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

Outcomes: Learner will be able to…
1. Apply selection criteria and select an appropriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with
them strategically.
4. Use Earned val ue 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 stru ctures, 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, storming, norming &performing), team dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart,
Interface
Co-ordination and concurrent engineering, Project cost estimation and
budgeting, Top down and bottoms up budgeting, Networking and
Scheduling techniques. PERT, CPM, GANTT chart, Introduction to
Project Management In formation System (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and levelling, Goldratt's critical
chain, Project Stakeholders and Communication plan
Risk Management in projects: Risk management planning, Risk
identification and risk register, Qualitative and quantitative risk
assessment, Probability and impact matrix. Risk response strategies for
positive and negative risks 6

Page 85

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 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
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 templates and other resources; Managing without authority;
Areas of further study. 6

Assessment :

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

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

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

Page 86

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8022 Finance Management 03

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

Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components
and Functions of Financial System.
Financial Instruments: Meaning, Characteristics and Classification of
Basic Financial Instruments — Equity Shares, Preference Shares, Bonds -
Debentures, Certificates of Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of
Financial Markets — Capital Market, Money Market and Foreign
Currency Market
Financial Institutions: Meaning, Characteristics and Classification of
Financial Institutions — Commercial Banks, Investment -Merchant
Banks and Stock Exchanges 06
02 Concepts of Returns and Risks: Measurement of Historical Returns
and Expected Returns of a Single Security and a Two -security Portfolio;
Measurement of Hist orical Risk and Expected Risk of a Single Security
and a Two -security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity,
and Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Continuous Compounding and Continuous Discounting. 06
03 Overview of Corporate Finance: Objectives of Corporate Finance;
Functions of Corporate Finance —Investment Decision, Financing
Decision, and Dividend Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance
Sheet, Profit and Loss Account, and Cash Flow Statement; Purpose of
Financial Ratio Analysis; Liquidity Ratios; Efficiency or Activity Ratios;
Profitability Ratios; Capital Structure Ratios; Stock Market Ratios;
Limitations of Ratio Analysis. 09
04 Capital Budgeting: Meaning and Importance of Capital Budgeting;
Inputs for Capital Budgeting Decisions; Investment Appraisal
Criterion —Accounting Rate of Return, Payback Period, Discounted 10

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Payback Period, Net Present Value(NPV), Profitability Index, Intern al
Rate of Return (IRR), and Modified Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working
Capital; Importance of Working Capital Management; Factors Affecting
an Entity‘s Working Capital Needs; Estimation of Working Capit al
Requirements; Management of Inventories; Management of Receivables;
and Management of Cash and Marketable Securities.
05 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids;
Mezzanine Finance; Sources of Short Term Finance —Trade Credit,
Bank Finance, Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity‘s Capital Structure;
Overview of Capital Structure Theories and Approaches — Net Income
Approach, Net Operating Income Approach; Traditional Approach, and
Modigl iani-Miller Approach. Relation between Capital Structure 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 Poli cy
Theories and Approaches —Gordon‘s Approach, Walter‘s Approach, and
Modigliani -Miller Approach 03

Assessment :

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

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

REFERENCES:
1. 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 88

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8023 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 Capita l Markets in Entrepreneurial Development:
Contribution of Government Agencies in Sourcing information for
Entrepreneurship 04
02 Business Plans And Importance Of Capital To Entrepreneurship:
Preliminary and Marketing Plans, Management and Personnel, Start -up Costs
and Financing as well as Projected Financial Statements, Legal Section,
Insurance, Suppliers and Risks, Assumptions and Conclusion, Capital and its
Importance to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business,
Buying an Existing Business, New Product Development, Business Growth and
the Entrepreneur Law and its Relevance to Business Operations 09
03 Women‘s Entrepreneurship Development, Social e ntrepreneurship -role and
need, EDP cell, role of sustainability and sustainable development for SMEs,
case studies, exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of infrastruc ture
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 enterp rises 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 89

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Assessment :

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

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

REFERENCES:
1. Poornima Charantimath, Entrepreneurship development - Small Busin ess 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 En terprises in Global Perspective, New century
Publications, New Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing
House
6. MaddhurimaLall, ShikahSahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann
Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Page 90

University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
ILO8024 Human Resource Management 03

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

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

Module Detailed Contents Hrs
01 Introduction to HR
 Human Resource Management - Concept, Scope and Importance,
Interdisciplinary Approach Relationship with other Sciences, Competencies of
HR Manager, HRM functions
 Human resource development (HRD): changing role of HRM – Human
resource Planning, Technological change, Restructuring and rightsizing,
Empowerment, TQM, Managing ethical issues 5
02 Organizational Behaviour (OB)
 Introduction to OB Origin, Nature and Scope of Organizational Behaviour,
Relevance to Organizational Effectiveness and Contemporary issues
 Personality: Meaning and Determinants of Personality, Personality
development, Personality Types, Assessment of Personality Traits for
Increasing Self Awareness
 Perception: Attitude and Value, Effect of perception on Individual Decision -
making, Attitude a nd Behaviour
 Motivation: Theories of Motivation and their Applications for Behavioural
Change (Maslow, Herzberg, McGregor);
 Group Behaviour and Group Dynamics: Work groups formal and informal
groups and stages of group development, Team Effectiveness: Hi gh performing
teams, Team Roles, cross functional and self -directed team.
 Case study 7

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 03 Organizational Structure &Design
 Structure, size, technology, Environment of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and stress.
 Leadership: Concepts and skills of leadership, Leadership and managerial roles,
Leadership styles and contemporary issues in leadership.
 Power and Politics: Sources and uses of power; Politics at workplace, Tactics
and strategies. 6
04 Human resource Planning
 Recruitment and Selection process, Job -enrichment, Empowerment - Job-
Satisfaction, employee morale
 Performance Appraisal Systems: Traditional & modern methods, Performance
Counselling, Career Planning
 Training & Development: Identification of Training Needs, Training Methods 5
05 Emerging Trends in HR
 Organizational development; Business Process Re -engineering (BPR), BPR as
a tool for organizational development, managing processes & transformation in
HR. Organizational Change, Culture, Environment
 Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and d iversity at work , Causes of diversity, managing diversity
with special reference to handicapped, women and ageing people, intra
company cultural difference in employee motivation 6
06 HR & MIS: Need, purpose, objective and role of information system in HR,
Applications in HRD in various industries (e.g. manufacturing R&D, Public
Transport, Hospitals, Hotels and service industries
Strategic HRM: Role of Strategic HRM in the modern business world, Concept of
Strategy, Strategic Management Process, Approaches to Strategic Decision
Making; Strategic Intent – Corporate Mission, Vision, Objectives and Goals
Labor L aws & Industrial Relations: Evolution of IR, IR issues in organizations,
Overview of Labor Laws in India; Industrial Disputes Act, Trade Unions Act,
Shops and Establishments Act 10

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

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

Page 92

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 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, E ssentials of Human Resource management and Industrial relations, 5th
Ed, 2013, Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson
Publications

Page 93

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8025 Professional Ethics and Corporate Social Responsibility (CSR) 03

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

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

Page 94

Page 95

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8026 Research Methodology 03

Objectives:
1. To understand Research and Research Process
2. To acquaint students with identifying problems for research and develop research
strategies
3. To familiarize students with the techniques of data collection, analysis of data and
interpretation
Outcomes: Learner will be able to…
1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or sit uations 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 08

Page 96

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report
05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availability, Choice of data,
Analysis of data, Generalization and Interpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04

Assessment :

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

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

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

Page 97

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8027 IPR and Patenting 03

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

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

Page 98

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 06 Procedure for Filing a Patent (National and International): Legislation and
Salient Features, Patent Search, Drafting and Filing Patent Applications,
Processing of patent, Patent Litigation, Patent Publication, Time frame and cost,
Patent Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07

Assessment :

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

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

REFERENCE BOOKS:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property
Rights in India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National
Working Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human
Development: Current Trends and Future Scena rio, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents,
Copyrights, Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. Lous Harns, 2012, The enforcement of Intellactual Property Rights: A Ca se Book, 3rd
Edition, WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st
Edition, Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition,
Serial Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st
Edition, BS Publications

Page 99

University of Mumbai B.E. (Mechatronics Engineering), R. 2019

11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A M anual on
Intellectual Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and
Engineers, World Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti Mathur, Anshul Rathi , IPR: Drafting,Interpretation of
Paten t 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 100

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8028 Digital Business Management 03

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

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

Module Detailed content Hours
1 Introduction to Digital Business -
Introduction, Background and current status, E-market places, structures,
mechanisms, economics and impacts
Difference between physical economy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud
Computing, Social media, BYOD, and Internet of Things (digitally
intelligent machines/services)
Opportunities and Challenges in Digital Business, 09
2 Overview of E -Commerce
E-Commerce - Meaning, Retailing in e -commerce -products and services,
consumer behavior, market research and advertisement
B2B-E-commerce -selling an d 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, innovative EC System -From E -
government and learning to C2C, mobile commerce and pervasive
computing
EC Strategy and Implementation -EC strategy and global EC, Economics
and Justification of EC, Using Affiliate marketing to promote your e -
commerce business, Launching a successful online business and EC
project, Legal, Ethi cs 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 Signat ures, Digital Certificates, Security Protocols
over Public Networks: HTTP, SSL, Firewall as Security Control, Public
Key Infrastructure (PKI) for Security, Prominent Cryptographic
Applications 06
5 E-Business Strategy -E-business Strategic formulation - Analysis of
Company‘s Internal and external environment, Selection of strategy, 04

Page 101

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 E-business strategy into Action, challenges and E -Transition
(Process of Digital Transformation)
6 Materializing e -business: From Idea to Realization -Business plan
preparation
Case Studies and presentations 08

Assessment :

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

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then p art (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 , Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers
& Distributors, 2011
2. E-commerce from vision to fulfilment, Elias M. Awad , PHI-Restricted, 2002
3. Digital Business and E -Commerce Management, 6th Ed, Dave Chaffey, Pearson,
August 2014
4. Introduction to E -Business -Management and Strategy, Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy, Eloise Coupey, 2nd Edition, Pearson
6. Trend and Challenges in Digital Business Innovation, VinocenzoMorabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in : Proceedings in 2nd International
Confe rence theory and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting
journal Vol.5
10. Measuring Digital Economy -A new perspective - DoI:10.1787/9789264221796 -
enOECD Publishing

Page 102

University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credits
ILO8029 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/Man -made disasters, Atomic/Biomedical
hazards, etc. 06
03 Concepts of Ecology: Ecosystems and interdependence between living
organisms, habitats, limiting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role and functions of Government
as a planning and regulating agency
Environment Quality Management and Corporate Environmental
Responsibility 10
05 Total Quality Environmental Management, ISO -14000, EMS
certification. 05
06 General overview of major legislations like Environment Protection Act,
Air (P & CP) Act, Water (P & CP) Act, Wildlife Protection Act, Forest
Act, Factories Act, etc. 03

Assessment :

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

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and shoul d cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTL801 Robotics and Machine Vision Laboratory 01
Prerequisites: MTC402 Kinematics of Machinery, MTC502 Sensors and Actuators,
MTC503 Mechatronic Systems Modelling and Control, MTL702 Mechatronics Lab
Objectives:
1) Introduce Mobile robotics
2) Introduce Robotic manipulators
3) Introduce image acquisition and processing
4) Introduce De velopment of robotic systems
Outcomes: Students will be able to…
1) Program and control mobile robots
2) Program and control robotic manipulators
3) Implement basic image processing
4) Design and implement robotic system.

Suggested List of laboratory experiments (Minimum Eight):
Sr. No. Experiment List
Part A:
Mobile
Robotics 1 Study of mobile robot steering with Differential, Bicycle, Tricycle,
Ackermann, Synchronous and Omnidirectional drives.
2 Remote control of mobile robot implementation
3 Program Mobile robot platform for line following based on
vision sensor on hardware / simulator.
4 Sensor based obstacle detection and autonomous driving of
mobile robot.
Part B:
Robotic
Arm 5 Study components of a real robotic manipulator (Industrial /
Cobot ) and its DH parameters.
6 Forward kinematics and validate using a software (Robo Analyser
or any other software tool).
7 Inverse kinematics of the real robotic arm and validation using any
software. software (Robo Analyser or any other software tool).
8 Positioning and orientation of robot arm end effector
Part C:
Image
Processing 9 Image acquisition and edge detection using convolution in
OpenCV / Matlab
10 Image Processing for color/shape detection using OpenCV /
Matlab
11 Object tracking using OpenCV /Matlab
Part D
Course
Project 12 Implement Robot task with integration of assorted sensors (IR,
Potentiometer, strain gages etc.), camera and micro controllers and
ROS (Robot Operating System) in a robotic system.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Term Work:
Term work consists of performing 3 experiments each from Part A and Part B and any
2 experiments from Part C and course project Part D as mentioned above. Final
certification and acceptance of the term work ensures satisfactory performance of
laboratory work.
The di stribution of marks for term work shall be as follows:
● Laboratory work (Experiment/journal) : 15 marks.
● Course Project : 05 marks
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experiments from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019
Course Code Course Name Credits
MTL802 Industrial Automation and Industry 4.0 Lab 01
Prerequisites:
Objectives:
1) Introduce Mechanical Assembly and wiring skills
2) Introduce PLC Based Automation Systems
3) Introduce HMI/SCADA/DCS implementation
4) Introduce Industry 4.0 technologies in automation

Outcomes: Students will be able to…
1) Mechanical design and assembly of automation systems
2) Design control panel and perform electrical wiring
3) Interfacing and control of PLC based automation systems
4) Develop automation systems with Industry 4.0 technologies

Suggested List of laboratory experiments (Minimum Eight):
Sr.
No. Experiment List
Part A:
Basic 1 Experiment on mechanical design and assembly of aluminum profile
based structures / Automation systems.
2 Experiment on PLC control panel design using e -plan/ AutoCAD
Electrical or similar software
3 Control panel wiring for PLC and AC Servo / VFD based system
4 Experiment on PLC controlled electro -pneumatic / electro -hydraulic
automation (Simulation + Hardware)
Part B:
Advanced 5 Experiment on AC Servo Motor control using PLC
6 Experiment with multi axis motion control for industrial application
7 Experiment on study of Industrial communication protocols and using
any industry standard communication bus.
8 PID control implementation in Industrial automation (Simulation +
Hardware)
9 Experiment on HMI Design with Alarm management
10 Experiment on SCADA / DCS implementation
Part C:
Industry
4.0 11 Experiment on RFID based service oriented automation
12 Experiment on industrial IOT using OPC UA for Automation
13 Experiment involving Digital Twin

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Term Work:
Term work consists of performing any 3 Experiments each from Part A and Part B
and any 2 Experiments from Part C as mentioned above. Final certification and
acceptance of the term work ensures satisfactory performance of laboratory work.
The distribution of marks for term work shall be as follows:
● Laboratory work ( Experiment/journal) : 20 marks.
● Attendance (Theory and Practical) : 05Marks

End Semester Examination:
Pair of Internal and External Examiner should conduct Practical and Oral. Practical exam
(15 marks) will be on any one of the experimen ts from the list and oral exam (10 marks) will
be based on the entire syllabus of the laboratory.

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 Course Code Course Name Credit
MTP801 Major Project II 06

Course Objectives: :
The Project work facilitates the students to develop and prove Technical, Professional and
Ethical skills and knowledge gained during graduation program by applying them from
problem identification to successful completion of the project by implementing the
solution.

Course Outcomes: Learner will able to
1 Students will be able to implement solutions for the selected problem by applying
technical and professional skills.
2 Students will be able to analyze impact of solutions in societal and environmental
context for sustainable development.
3 Students will be able to collaborate best practices along with effective use of modern
tools.
4 Students will be able to develop proficiency in oral and written communication with
effective leadership and teamwork.
5 Students will be able to nurture professional and ethical behavior .
6 Students will be able to gain expertise that helps in building lifelong learning
experience .

Guidelines:

1. Internal guide has to keep track of the progress of the project and also has to maintain
attendance report. This progress report can be used for awarding term work marks.

2. Project Report Format:
At the end of semester, each group need to prepare a projec t report as per the guidelines
issued by the University of Mumbai. Report should be submitted in hardcopy. Also, each
group should submit softcopy of the report along with project documentation,
implementation code, required utilities, software and user Ma nuals.

A project report should preferably contain at least following details:
o Abstract
o Introduction
o Literature Survey/ Existing system
o Limitation Existing system or research gap
o Problem Statement and Objective
o Proposed System

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University of Mumbai B.E. (Mechatronics Engineering), R. 2019 o Analysis/Framework/ Algorithm
o Design details
o Methodology (your approach to solve the problem) Proposed System
o Experimental Set up
o Details of Database or details about input to systems or selected data
o Performance Evaluation Parameters (for Validation)
o Software and Hardware Set up
o Results and Discussion
o Conclusion and Future Work
o References
o Appendix – List of Publications or certificates

Desirable
● Students should be encouraged
o to participate in various project competition.
o to write minimum one technical paper & publish in good journal.
o to participate in national / international conference.

3. Term Work:

Distribution of marks for term work shall be done based on following:
a. Weekly Log Report
b. Completeness of the project and Project Work Contribution
c. Project Report (Black Book) (both side print)
d. Term End Presentation (Internal)
The final certification and acceptance of TW ensures the satisfactory performance on
the above aspects.

4. Oral & Practical:

Oral &Practical examination (Final Project Evaluation) of Project 2 shoul d be conducted
by Internal and External examiners approved by University of Mumbai at the end of the
semester.

Suggested quality evaluation parameters are as following:
1. Relevance to the specialization / industrial trends
2. Modern tools used
3. Innovation
4. Quality of work and completeness of the project
5. Validation of results
6. Impact and business value
7. Quality of written and oral presentation
8. Individual as well as team work