N BE Automation and Robotics Sem V VI_1 Syllabus Mumbai University

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AC – 01/11/2023
Item No. – 6.8(N)





University of Mumbai







Syllabus for

B.E. (Automation and Robotics)

Sem ester - V & VI

Choice Based Credit System



(With effect from the academic year 2023 -24)

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University of Mumbai



Syllabus for Approval
Sr.
No.
Heading
Particulars
1 Title of Course
B.E. (Automation and Robotics)

2 Eligibility
Passing First Year Engineering as per
the Ordinance O.6242

3 Passing Marks

40 %
4 Ordinance / Regulation
Ordinance O.6242
5 No. of years/Semesters 4 years / 8 semesters


6 Level Under Graduation

7 Pattern Semester
8 Status New
9 To be implemented from Academic Year With effect from Academic Year :
2023 -24






Dr. Deven Shah Dr. Shivram Garje
Offg. Associate Dean Offg. Dean
Faculty of Science and Technology Faculty of Science and Technology

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University of Mumbai 2 B.E (Automation and Robotics)
Preamble
To meet the challenge of ensuring excellence in engineering education, the issue of quality
needs to be addressed, debated and taken forward in a systematic manner. Accreditation is the
principal means of quality assurance in higher education. The major em phasis of accreditation
process is to measure the outcomes of the program that is being accredited. In line with this
Faculty of Science and Technology (in particular Engineering) of University of Mumbai has
taken a lead in incorporating philosophy of outc ome-based education in the process of
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 proc ess. 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 contin uous evaluation which will enhance the quality of
education. Credit assignment for courses is based on 15 weeks teaching learning process,
however content of courses is to be taught in 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 curriculum more focused on providing information
and knowledge across various domains of the said program, which led to heavily loading of
students in terms of direct contact hours. In this regard, faculty of science and technology resolved
that to minimize the burden of contact hours, total credits of entire program will be of 170, where in
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 Third Year of Engineering from the academic
year 2023 -24. Subsequently this will be carried forward for final year Engineering in the
academic years 202 4-25 respectively.



Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
Member, Academic Council, RRC in Engineering
University of Mumbai
Dr. Deven Shah
Associate Dean
Faculty of Science and Technology
University of Mumbai

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University of Mumbai 3 B.E (Automation and Robotics)
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 this particular
syllabus wherever possible additional resource links of platforms such as NPTEL, Swayam are
appropriately provided. Efforts were made to use online contents more appropriately as
additional learning materials to enhance learning of students.
In the current syllabus based on the recommendation of AICTE model curriculum overall
credits are reduced to 170 , to provide opportunity of self -learning to learner. Learners are now
getting sufficient time for self -learning either through online courses or additional projects for
enhancing their 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 completi on they are required
to submit certification for the same. This will definitely help learners to facilitate their enhanced
learning based on their interest.


Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
Member, Academic Council, RRC in Engineering
University of Mumbai
Dr. Deven Shah
Associate Dean
Faculty of Science and Technology
University of Mumbai

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University of Mumbai 4 B.E (Automation and Robotics)
Program Structure for Third Year Automation and Robotics Engineering
University of Mumbai (With Effect from 202 3-2024)
Semester V





























Course Code


Course Name Examination Scheme
Theory

Term
Work

Pract/
Oral

Total Internal
Assessment End
Sem.
Exam Exam.
Duration
(in Hrs)
Test
1 Test
2 Avg
ARC501 Power Electronics and
Drives 20 20 20 80 3 -- 100
ARC502 Industrial Processes 20 20 20 80 3 -- -- 100
ARC503 Robot Kinematics &
Dynamics 20 20 20 80 3 -- -- 100
ARC504 Digital Signal Processing 20 20 20 80 3 -- -- 100
ARDLO501X Departmental Level
optional course -I 20 20 20 80 3 -- -- 100
ARL501 Power Electronics and
Drives & Digital Signal
Processing Lab -- -- -- -- -- 25 25 50
ARL502 Industrial processes Lab -- -- -- -- -- 25 25 50
ARL503 Robot Kinematics and
Dynamics Lab -- -- -- -- -- 25 25 50
ARSBL501 Professional
Communication & Ethics
Lab -- -- -- -- -- 25 25 50
ARPBL501 Mini Project -III -- -- -- -- -- 25 25 50
Total -- -- 100 400 -- 125 125 750
$ indicates work load of Learner (Not Faculty), for Mini project
* Out of 4 hours, 2 -hour theory (entire class) and 2 hours practical (batches)
Course Code
Course Name Theory Pract
Theory Pract Total
ARC501 Power Electronics and Drives 3 -- 3 -- 3
ARC502 Industrial Processes 3 3 3
ARC503 Robot Kinematics & Dynamics 3 -- 3 -- 3
ARC504 Digital Signal Processing 3 -- 3 -- 3
ARDLO501X Departmental Level optional
course -I 3 -- 3 -- 3
ARL501 Power Electronics and Drives
& Digital Signal Processing
Lab -- 2 -- 1 1
ARL502 Industrial Processes Lab -- 2 -- 1 1
ARL503 Robot Kinematics and
Dynamics Lab -- 2 -- 1 1
ARSBL501 Professional Communication &
Ethics Lab --
2*+2
-- 2 2
ARPBL501 Mini Project -III -- 4$ -- 2 2
Total 15 14 15 07 22

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University of Mumbai 5 B.E (Automation and Robotics)


SBL - Skill Based Laboratory

PBL - Project Based Laboratory

Departmental Level optional course -I

Course Code Departmental Level optional course -I
ARDLO5011 Data Structures and Algorithms
ARDLO5012 Optimization Techniques
ARDLO5013 Advanced Sensors
ARDLO5014 Analytical Instrumentation

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6 B.E (Automation and Robotics) University of Mumbai
Semester VI


Course
Code
Course Name Theory Pract. Theory Pract. Total
ARC601 Robotic Control system (RCS) 3 -- 3 -- 3
ARC602 Process Instrumentation and Control
(PIC) 3 -- 3 -- 3
ARC603 Manufacturing using Computer
Aided Design 3 -- 3 -- 3
ARC604 Machine Learning (ML) 3 -- 3 -- 3
ARDLO602X Departmental Level optional course -
II 3 -- 3 -- 3
ARL601 Robotic Control system Lab -- 2 -- 1 1
ARL602 Process Instrumentation and Control
lab -- 2 -- 1 1
ARL603 Machine Learning Lab -- 2 -- 1 1
ARLSBL601 CAD Modelling and 3D printing lab -- 2*+2 -- 2 2
ARPBL601 Mini Project -IV -- 4$ -- 2 2
Total 15 14 15 7 22



Course
Code


Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral

Total
Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs)

Test1
Test2
Avg
.
ARC601 Robotic Control system
(RCS) 20 20 20 80 3 -- -- 100
ARC602 Process Instrumentation
and Control (PIC) 20 20 20 80 3 -- -- 100
ARC603 Manufacturing using
Computer Aided Design 20 20 20 80 3 -- -- 100
ARC604 Machine Learning (ML) 20 20 20 80 3 -- -- 100
ARDLO602X Departmental Level
optional course -II 20 20 20 80 3 -- -- 100
ARL601 Robotic Control system
Lab -- -- -- -- -- 25 25 50
ARL602 Process Instrumentation
and Control lab -- -- -- -- -- 25 25 50
ARL603 Machine Learning Lab -- -- -- -- -- 25 25 50
ARLSBL601 CAD Modelling and 3D
printing lab -- -- -- -- -- 25 25 50
ARPBL601 Mini Project -IV -- -- -- -- -- 25 25 50
Total -- -- 100 400 -- 125 125 750
$ indicates work load of Learner (Not Faculty), for Mini Project
* Out of 4 hours, 2 -hour theory (entire class) and 2 hours practical batches)

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7 B.E (Automation and Robotics) University of Mumbai
SBL - Skill Based Laboratory

PBL - Project Based Laboratory

Departmental Level optional course -II


Course Code Departmental Level optional course -II
ARDLO60 21 Database Management System (DBMS)
ARDLO60 22 Industrial Robotics and Material handling systems
ARDLO60 23 Metal Forming Technology
ARDLO60 24 Biomedical Instrumentation

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8 B.E (Automation and Robotics) University of Mumbai
Course Code Course Name Credits
ARC501 Power Electronics and Drives 03

Course
Objectives 1. To equip the students with the knowledge of semiconductor devices & their applications.
2. To learn the basic concepts and characteristics of Electrical motors and their respective
drives.
Course
Outcomes Students will be able to:
1. Compare basic characteristics and ratings of various power electronic devices.
2. Use controlled rectifiers with different loads for various applications.
3. Implement Inverters & choppers with various techniques on different loads.
4. Explain working of electric drives, various motors and study their characteristics
5. Describe the working principle of DC drives.
6. Illustrate working of AC drives.

Module Contents
Hours CO
mapping
Prerequisite:
Knowledge of Faraday’s laws, Lenz’s law. Semiconductor devices such as diodes and transistors
and their characteristics.

1. Power Electronic Devices:
Basic operation of silicon controlled rectifier, Static characteristics, two transistor
analogy, Dynamic characteristics, Firing circuits (R,RC, Ramp triggering using UJT),
Commutation circuits, Protection circuit of SCR. Other devices of Thyristor family:
Basic operation and characteristics of DIAC, TRIAC, GTO, UJT, PUT, SUS, SBS, SCS,
LASCR, Power diodes, power BJTs, power MOSFETs, IGBTs, Safe Operation Area
(SOA) for each devices, Silicon Carbide (SiC) and GaN devices, Comparison of devices,
selection of devices for various applications, Conduction and switching losses. 07
CO1

2. Controlled Rectifiers:
Basic working principle and applications Single phase half wave rectifiers, full wave
rectifiers (mid -point and bridge configuration) for R and R -L load, freewheel diode,
Rectification and inversion mode of single phase fully controlled rectifier, single phase
dual converter, Three phase semi converter and full converter with R load, Applications,
calculation of out put voltage, single phase PWM rectifier, Selection of converter circuit. 07 CO2

3. Inverter:
Classification based on source and power level, Series and Parallel Inverter, CSI and
VSI Inverter, Comparison of VSI and CSI, PWM techniques
Converters: Introduction, switching mode regulators – Buck, Boost, Buck -Boost,
Cycloconverter.
Choppers: Introduction, Basic chopper operation and its classification, Step up and Step
down Chopper, Jone’s Chopper, Morgan’s Chopper 08 CO3

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9 B.E (Automation and Robotics) University of Mumbai

4. Basics of Electric Drives
Introduction, Advantages of Electrical Drives, Parts of Electrical Drives, Introduction
of drive system, structure of drive system, Necessity of drive system, different types of
drive system.
Electrical Actuation System: Solenoids, D.C. motors and its characteristics, A.C. motors
and its characteristics, Stepper motors, Servomotors (AC and DC), stepper motors,
BLDC and its characteristics, Permanent Magnet Synchronous Motor (PMSM) 08 CO4
5. DC Drives
DC Drive Operation: Introduction to Four quadrant operation – Motoring, Plugging,
Dynamic and Regenerative Braking.
Control of DC Drive by phase controlled converter: Speed control of DC drives, Single
phase, semi/ full converter drive for separately excited dc motor.
Control of DC Drive by Chopper regulators: Single quadrant, Two – quadrant and four
quadrant chopper fed dc separately excited motors, Continuous current operation,
Output voltage and current wave forms, Speed torque expressions, speed torque
characteristi cs. 06 CO5

6. AC Drives:
Induction Motor Characteristics, Current Source Inverter fed Induction motor drive,
Speed control methods: Stator voltage, Variable frequency, Rotor resistance, V/F
control, PWM Control, Closed -loop control.
03 CO6
Internal Assessment:
Internal Assessment consists of two tests out of which, one should be compulsory class test (on minimum
02 Modules) and the other is either a class test or assignment on live problems or course project.

Theory Examination
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of 4 to 5 marks
will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective lecture hours
as mentioned in the syllabus.
Text Books:
1. P.S. Bhimbra, Power Electronics, Khanna publishers, 2004
2. M. H. Rashid, Handbook of Power Electronics, 2nd Edition, PHI, 2005.
3. M.D. Singh, Khanchandani, Power Electronics, Tata Mcgraw -Hill Education.
4. Nagrath I.J., Kothari D.P., Electrical Machines, second edition, Tata McGraw Hill, New Delhi.
5. B. L. Theraja, Fundamentals of Electrical & Electronics, S.Chand, Technical.
6. V.K. Mehta, Rohit Mehta, Principles of Electrical Engg. & Electronics, S.Chand
7. G. K. Dubey, Fundamentals of Electrical Drives,Narosa Publication.
8. S. K. Pillai, First Course on Electrical Drives, New Age International.
Reference Books:
1. Say M. G.,The performance & Design of Alternating Current Machines, 3rd edition, Oxford University
2. P.C. Sen, Power Electronics, Tata McGraw Hill, 2005
3. Mohan Undeland Robbins, Power Electronics - Converters application & Design, Wiley
Eastern,1996
4. Dubey, Dorald, Thyristorised Power Controller, Wiley Eastern Ltd.1993

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10 B.E (Automation and Robotics) University of Mumbai
5. S.K. Bhattacharya, Industrial Electronics & Control, TATA McGraw Hill, 2007
6. Bose, Modern power Electronics & AC Drives Pearson Education Inc.2002
7. NPTEL Lectures.

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11 B.E (Automation and Robotics) University of Mumbai
Course Code Course Name Credits
ARC502 Industrial Processes 03

Objectives:
1. To make the students familiar with various Manufacturing Production Processes.
2. To make the students familiar with various industrial processes.
3. To give them an overview of hazardous materials, areas and their classification.
Outcomes: Learner will be able to…
1. Illustrate working principles and applications Manufacturing Processes and Identify Metal
Working Processes .
2. Develop of various Machine Tools, Machining Processes .
3. Identify joining processes.
4. Explain heating process working of heat exchanger,evaporators and boilers
5. Elaborate heat and mass transfer process and working of distillation, dryers and reactors.
6. Classify hazardous areas in the industry.
Module Detailed Contents Hrs. CO
mapping
1
. BASIC MANUFACTURING AND METALWORKING PROCESSES
Casting -Scope, Pattern, Pattern Allowances, Solidification, Gating and
Risering, Sand Mould, Permanent Mould, Cold and Hot Chamber Die
Casting, Shell Moulding, Investment Casting and Centrifugal Casting,
Casting Defects and Remedies. Introduction to nondestructive testing.
Fundamentals of Forming, Hot & Cold Working Processes, Rolling,
Extension, Wire Drawing, Extrusion: Classification, Advantages,
Limitations and applications
Classification of Sheet metal operations, types of Presses used in sheet metal
operations, types of dies . 08
CO1
2
. MACHINE TOOLS, MACHINING PROCESSES
Lathe Machines, Milling Machines, Drilling Machines, and Grinding
Machines and selection of grinding wheels(Dressing and Truing), Broaching
machines, Lapping/Honing machines (Super Finishing Operations) and
shaping/slotting/planning Machines. Nomenclature of single point cutting
tool, Speed, feed, depth of cut, Taylor’s tool life equation, Mechanics of
orthogonal and oblique Cutting -Mechanics of chip Formation -Types of
chips, theory of metal Cutting forces and power. Economical metal cutting,
Cutting tools material & Cutting fluids. 06 CO2
3
. JOINING PROCESSES
Classification of joining processes; Arc Welding – SMAW, GTAW,
GMAW, FCAW, Submerged arc welding, etc.
Resistance welding – theory, Spot, Seam, Projection welding processes etc.,
Gas welding. Thermit welding, Friction welding,
Ultrasonic welding, Electron beam and Laser welding. Defects in welding,
their cause and remedy, weldability, welding of dissimilar metals. NDT and
other methods of testing welded joints. Soldering and Brazing applications. 06 CO3
4
. Heat Transfer Processes and equipments
Heat Exchangers: process flow sheet symbols of heater, cooler, condenser,
reboiler, classification as per fluid flow arrangement - concurrent and
countercurrent and mixed type,and as per construction - double -pipe, shell
and tube, plate type, finned type. 07 CO4

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12 B.E (Automation and Robotics) University of Mumbai
Evaporator: evaporation process, terminologies:boiling point
rise,economy, capacity, single and multi effect evaporators, types of
evaporator: Horizontal -tube evaporators, Forced -circulation
evaporators,short -tube and long vertical evaporators .
Boilers: steam generation process, construction and types -water tube and
fired tube boilers, safety interlocks, Shrink and swell effect and excess
oxygen, boiler efficiency.
5. Heat and Mass Transfer Processes and equipments:
Distillation : Basic principle, Distillation equipment and its accessories.
Batch and continuous distillation, Binary product distillation, multi -product
distillation, Vacuum distillation.
Dryer: Process of drying, drying rate curve, types of dryer - Tray, fluidized
bed, rotary and spray dryer, vacuum dryer
Reactor: Reactor characteristics, runaway reaction and types of reactors -
continuous and batch reactors. 06 CO5
6. Hazardous area classification
Area and material classification as per IEC and NEC standard, techniques
used to reduce explosion hazards, intrinsic safety, and installation of
intrinsically safe systems. 06 CO6

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). Duration of each test shall be one hour.
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. Question1 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.
Text Books:
1. Curtis D. Johnson, “Process Control Instrumentation Technology”, PHI /Pearson Education 2002
2. George Stephanopoulos, “Chemical process control”, PHI -1999
3. Fieldbus and Networking in Process Automation: - Sunit Kumar Sen
4. Lawrence M Thompson, Industrial Data Communication, 2nd edition , 1997.
5. D. A. Neamen, Micro Electronic Circuit Analysis and Design, McGraw -Hill, New Delhi, 2010
6. Elements of workshop technology. Vol. 1 & II by S K Hajra Choudhury
7. Manufacturing Science by Ghosh and Malik
8. Production Technology by P C Sharma.
9. Welding technology by O P Khanna
References:
1. Workshop technology Vol -. I, II & III by Chapman , Edward Arnold Education.
2. Manufacturing technology – Serope Kalpak Jian & Steven R. Schmid Pearson.
3. Production Technology – R. K. Jain Khanna publications.
4. Manufacturing technology – HMT .
5. Bela G. Liptak, “Instrument Engineer‟s HandBook – Process Control”, Chilton Company,
3rdEdition,1995.
6. Andrew S. Tanenbaum, Computer Networks, 4th edition, PHI/Pearson Education,2002.

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13 B.E (Automation and Robotics) University of Mumbai
7. Behrouz A. Forouzan, Data Communications and Networking, 2nd update edition, Tata McGraw
Links for online NPTEL / SWAYAM courses:
1. https://nptel.ac.in/courses/112107144

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14 B.E (Automation and Robotics) University of Mumbai
Course Code Course Name Credits
ARC503 Robot Kinematics and Dynamics 03

Objectives:
1. To introduce types of mechanisms for various robotic applications.
2. To get knowledge about basic Geometrical and Algebraic approach to solve forward kinematics of serial
manipulator
3. To get knowledge about advanced forward kinematics of serial manipulators.
4. To get knowledge about inverse kinematics of various serial manipulators.
5. To get knowledge about design of robot manipulators based on dynamic analysis
Outcomes: Learner will be able to…
1. Select the type of mechanism for the robotic applications
2. Evaluate forward kinematic model for planar and spatial robot manipulator.
3. Evaluate forward kinematic model for multi -DOF robot manipulators.
4. Evaluate inverse kinematic model for multi -DOF robot manipulators.
5. Apply design procedure for mechanical grippers depending upon their types and mechanism.
6. Design of robot manipulators based on dynamic analysis

Module Detailed Contents Hrs. CO
mapping
1. Robot Mechanisms
kinematic Link, Types of links, Kinematics pair, Types of constrained
motion, Classification of Kinematics pairs, Kinematics chain, Degrees of
freedom of mechanisms, Inversion of mechanism, Analysis of
mechanisms such as Gear trains, cams and followers, belt drives, four bar
mechanism, slider crank mechanism etc. 06
CO1
2. FORWARD KINEMATICS - GEOMETRICAL AND ALGEBRAIC
APPROACH
Need for forward and Inverse Kinematics Equation – Parameters in
Design and Control – Methods of forward and inverse kinematics -
Geometrical and Algebraic Approach in Forward Kinematics Solution,
1 DOF - 2 DOF Planar Robot (2P and 2R); 3DOF 2RP Spatial Robot. 06 CO2
3. FORWARD KINEMATIC MODELING – DENAVIT -HARTEBERG
(DH) APPROACH
Unit Circle Trigonometry - Translation Matrix - Rotation matrix, Euler
Angles - Quaternion Fundamental - Dot and Cross Products - Frames and
Joint Coordinates - Homogeneous Transformation - D-H and Modified D -
H Convention and Procedures – Forward kinematics Solution using D -H
Convention: 3 DOF wrist, RR Planar, 3 DOF RRP, Cartesian, C ylindrical,
Spherical, SCARA and Articulated 3 DOF robots - 3 DOF robot with wrist. 06 CO3
4. INVERSE KINEMATICS MODELING
Introduction to inverse kinematics -Issues in inverse kinematics - Inverse
kinematics of 2 DOF Planar robot - 2 and 3 DOF planar and Spatial robot -
Tool configuration - Inverse kinematics of 3 axis robot and 6 axis Robot -
Inverse kinematics Computation - Closed loop solution
07 CO4

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15 B.E (Automation and Robotics) University of Mumbai
5. Robot end effectors:
Types of end effectors, mechanical grippers, vacuum grippers, magnetic
grippers, adhesive grippers, tools. force analysis, the robot end effectors
interface, considerations in gripper selection and design.
Robot Arm Dynamics
Robot dynamics – Rigid body dynamics, Newton -Euler formation,
Lagrange -Euler, formation, generalized D’Alembert equations of motion. 07 CO5
6. Balancing and Vibrations
Static and Dynamic balancing, balancing of revolving and reciprocating
masses, Balancing machines, free vibrations, Equations of motion, natural
Frequency, Damped Vibration, bending critical speed of the simple shaft. 07 CO6

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). Duration of each test shall be one hour.
End Semester Examination: Weightage of each module in end semester examination will be proportional to
number of respective lecture hours mentioned in the curriculum. Question paper will comprise of total six
questions, each carrying 20 marks. Question 1 will be compulsory and should cover maximum contents of the
curriculum . 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 . Only Four questions need to be solved .

TEXT BOOKS:
1. Mikell P. Groover, "Industrial Robotics", McGraw Hill, 2nd edition, 2012.
2. John J. Craig, “Introduction to Robotics”, 3rd Edition, Addison Wesley, ISE 2008.
3. Lynch, Kevin M., and Frank C. Park. Modern Robotics: Mechanics, Planning, and Control 1st ed. Cambridge
University Press, 2017.

REFERENCES:
1. S K Saha, Introduction to Robotics, Tata McGraw -Hill, Second Edition, 2017.
2. Mikell P. Groover, "Industrial Robotics", McGraw Hill, 2nd edition, 2017.
3. Arthor Critchlow, “Introduction to Robotics”, 1st edition, Macmillan, 2009.
4. Mohsen Shahinpoor, “A Robot Engineering Text Book”, 1st edition, Harper and Row, 2004.
5. Deb S.R., “Robotics Technology and Flexible Automation”, 2nd edition, Tata McGraw - Hill Publis
Robotics: Control and Programming.
6. J. Srinivas, R. V. Dukkipati, K., “Robotics: Control and Programming”, Narosa Publishing House, 2009.
7. Tsuneo Yohikwa, Foundations of Robotics Analysis and Control, Prentice Hall of India Pvt. Ltd., 2001 8.
Bijay K. Ghosh, Ning Xi, T.J. Tarn, Control in Robotics and Automation Sensor - Based integration,
Academic Press, 1999.
8. Hartenberg and Denavit, "Kinematics and Synthesis of Linkages", McGraw Hill Book Co.
9. J. E. Shigley and J.J.Uicker Jr., Theory of Machines and Mechanism, McGraw Hill [ISBN019515598X]
10. G K Grover’, “Mechanical Vibration”, Nemchand and brothers. [ISBN8185240752]
11. S. S. Ratan , Theory of Machines, Tata McGraw Hill [ISBN0070591202]
12. Yoram Koren, "Robotics for Engineers", McGraw Hill Book Co.
13. Groover M.P., Weiss M., Nagel R.N., Odrey N.G., "Industrial Robotics Technology -Programming and
Applications", McGraw Hill Book Co

Page 19

16
Course Code Course Name Credits
ARC504 Digital Signal Processing 03

Course Objectives :
1. To make conversant with the fundamentals of digital signal processing
2. To familiarise with the transforms used in Digital Signal Processing
3. To familiarise with the design techniques and performance analysis of digital filters
4. To introduce digital signal processors and applications
Course Outcomes: Learner will be able t o:
1. Apply the concept of DT Signal and DT Systems.
2. Classify and analyse discrete time signals and systems .
3. Implement Digital Signal Transform techniques DTFT, DFT and FFT.
4. Design IIR digital filters to meet arbitrary specifications and Develop algorithms for implementation .
5. Design FIR digital filters to meet arbitrary specifications and Develop algorithms for implementation .
6. Use signal processing techniques and digital signal processors in various applications .

Module Detailed Contents Hrs. CO
mapping
1 Discrete -Time Signal and Discrete -Time Systems
Introduction to Digital Signal Processing, Sampling and Reconstruction,
Standard DT Signals, Concept of Digital Frequency, Representation of
DT signal using Standard DT Signals, Signal Manipulations -shifting,
reversal, scaling, addition, multiplication.
Classification of Discrete -Time Signals, Classification of Discrete -
Systems, LTI system, Impulse Response.
Linear Convolution, Circular Convolution - Emphasis on graphical
method, linear convolution using Circular Convolution. Software
simulation - Impulse Response, Step Response, convolution, Correlation. 08 CO1
2 Frequency Domain Analysis using DTFT and Z Transform
Introduction to DTFT. Properties of DTFT.
Z transform - definition, properties of unilateral and bilateral Z
Transform, Z transform of standard signals, ROC, poles and zeros of
transfer function, Inverse Z transform.
Analysis and characterization of LTI system using Z transform, impulse
and step response, causality, stability, stability of causal system 07 CO2
3 Discrete Fourier Transform and Fast Fourier Transform
DFT, Relation between DFT and DTFT, IDFT. Properties of DFT,
circular convolution of sequences using DFT. Fast Fourier transforms
(FFT), Radix -2 decimation in time and decimation in frequency FFT
algorithms, inverse FFT. 06 CO3
4 IIR Digital Filters
Comparison of IIR and FIR filters, Types of IIR Filters, Analog filter
approximations: Butterworth, Chebyshev I and II. 09 CO4

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Mapping of S -plane to Z -plane, impulse invariance method, bilinear
transformation method, Design of IIR digital filters from analog filters
with examples, Software simulation – Design of IIR Filters.
Analog and digital frequency transformations.
5 FIR Digital Filters
Characteristics of FIR digital filters, Minimum Phase, Maximum Phase,
Mixed Phase and Linear Phase Filters Frequency response, location of
the zero of linear phase FIR filters.
Design of FIR filters using window techniques -Rectangular,
Hamming, Hanning, Blackman, Bartlett, Software simulation – Design
of FIR Filters. 05 CO5
6 DSP Processors and Applications
General purpose digital signal processors, DSP processor architecture,
Selecting digital signal processors, Special purpose DSP hardware.
Applications of DSP: Radar Signal Processing and Speech Processing. 04 CO6
Assessment:
Internal Assessment for 20marks: 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 TestI). Duration of each test shall be one hour.
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 1will 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 module3)
4. Only Four questions need to be solved.
Text Books
1. Emmanuel C. Ifeachor, Barrie W. Jervis, “Digital Signal Processing”, A Practical Approach by, Pearson
Education – Second edition
2. Tarun Kumar Rawat, “Digital Signal Processing”, Oxford University Press, 2015
3. S Salivahanan, A Vallavaraj, C Gnanapriya. “Digital Signal Processing” – TMH, 2007
References:
1. Proakis J., Manolakis D., "Digital Signal Processing", 4th Edition, Pearson Education
2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, edition 4e McGraw Hill
Education (India) Private Limited .

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Course Code Course Name Credits
ARDLO5011 Data Structures and Algorithms 03

Course
Objectives 1. To improve the logical ability
2. To teach efficient storage mechanisms of data for an easy access.
3. To design and implementation of various basic and advanced data structures and
algorithm analysis.
4. To introduce various techniques for representation and analysis of the data in the
real world.
5. To develop application using data structures and algorithm and analysis.
6. To teach the concept of protection and management of data.
Course
Outcomes Student will be able to:
1. Choose appropriate data structure as applied to specified problem definition and
analyse the algorithm.
2. Handle operations like searching, insertion, deletion, traversing mechanism etc. on
various data structures and algorithm analysis.
3. Apply concepts learned in various domains like DBMS, compiler construction etc.
4. Use linear and non -linear data structures like stacks, queues, linked list etc
5. Assess different sorting algorithms and select depending on application
6. Apply graph algorithms to solve real -world challenges


Module Contents Hrs. CO
mapping

1 Introduction: Introduction, Mathematics Review, Exponents, Logarithms,
Series, Modular Arithmetic, The P Word, A Brief Introduction to Recursion,
Recursion and Induction. Algorithm Analysis: Mathematical Background,
Model, What to Analyse, Running Time Calculations, General Rules, Solutions
for the Maximum Subsequence Sum Problem, Logarithms in the Running
Time, Euclid's Algorithm, Exponentiation, Checking Your Analysis, A Grain
of Salt.
6 CO1

2 Stacks, Queues and List: Stacks, Queues, Linked Lists, Double -ended
Queues. Abstract Data Type (ADT), The List ADT, Simple Array
Implementation of Lists, Linked Lists, Programming Details, Common Errors,
Doubly Linked Lists, Circularly Linked Lists, Examples, Cursor
Implementation of Linked Lists, The Stack ADT, Implementation of Stacks,
Applications, The Queue ADT, Array Implementation of Queues, Applications
of Queues.
9 CO2

3 Trees and Search Trees: Tree, Implementation of Trees, Tree Traversals with
an Application, Binary Trees,Expression Trees, the Search Tree ADT -Binary
Search Trees, AVL Trees, SingleRotation, Double Rotation, Red -Black Trees,
External searching in B -Trees, Tree Traversals, B -Trees
9 CO3

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4 Priority queues: The priority queues Abstract data Type, Implementing a
Priority queues with a List, Heaps, Adaptable priority queues.
4 CO4

5 Sorting Sets, and Selection: Insertion Sort, Shellsort, Heapsort, Quicksort,
Bucket Sort, Merge Sort and radix Sort, and A Lower Bound on comparison -
based Sorting and radix Sort, the complexity of some sorting algorithms,
comparison of Sorting Algorithms, The Set ADT and union / file Structures
4 CO5

6 Graphs: The graph Abstract Data Type, Data Structures for Graphs, Graph
Traversals,Directed Graphs, Weighted Graphs, Shortest Paths, and Minimum
spanning Trees. Applications of DFS and BSF, Shortest -Path Algorithms,
Dijkstra's Algorithm,Graphs with Negative Edge Costs, Acyclic Graphs,
Network Flow Problems,Minimum Spanning Tree
7 CO6

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

Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of
4 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective lecture
hours as mentioned in the syllabus.

Text Books:
1. Mark Allien Weiss, “Data Structure and Algorithm Analysis in C”, Person.
2. Micheal Goodrict, Roberto Tamassia,” Data Structure and Algorithm in C++”, Wiley India
3. Data Structures A Psedocode Approach with C, Richard F. Gilberg & Behrouz A. Forouzan,
second edition, CENGAGE Learning.
4. Data Structures Using C & C++, Rajesh K. Shukla, Wiley - India
5. Data Structures using C, Reema Thareja, Oxford University press.
6. Introduction to Data Structure and its Applications Jean -Paul Tremblay, P. G. Sorenson

Reference Books:
1. Ellis horowitz, Sarataj Sahni, S.Rajsekaran,” Fundamentals of computer algorithm”, University Press .
2. Mark Allen Weiss,”Data Structure & algorithm Analysis in C++”, 3rd Edition, Pearso n Education
3. Data Structures Using C, ISRD Group, Second Edition, Tata McGraw -Hill
4. Data Structure Using C, Balagurusamy
5. C & Data Structures, Prof. P.S. Deshpande, Prof. O.G. Kakde, Dreamtech press.
6. Data Structures, Adapted by: GAV PAI, Schaum’s Outlines.

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Course Code Course Name Credits
ARDL O5012 Optimization Techniques 03

Course
Objectives 1. To Understand the need and origin of the optimization methods.
2. To understand various linear, nonlinear and other optimization techniques.
3. To understand various multi criterion and multi -objective decision making methods.
4. To understand recent tools in optimization

Course
Outcomes
Students would be able ……
1. Identify the types of optimization problems and apply the calculus method to single
variable problems.
2. Formulate the problem as Linear Programming problem and analyse the sensitivity of
a decision variable.
3. Apply various linear and non -linear techniques for problem solving in various domain.
4. Apply multi -objective decision making methods for problem in manufacturing
environment and other domain.
5. Apply multi criterion decision making methods for problem in manufacturing
environment and other domain.
6. Apply Design of Experiments method for Optimization .

Module Contents Hrs. CO
mapping

1 Basic Concepts: Statement of the Optimization Problem, Basic Definitions,
Optimality Criteria for Unconstrained Optimization, Optimality Criteria for
Constrained Optimization, Engineering Application of Optimization,
Classification of Optimization Problems . Classical Optimization
Techniques: Single variable optimization . 06 CO1
2 Linear Programming Problem: Formulation, Simplex method, Big M
Method, Two Phase, Primal to Dual, Dual Simplex method, Sensitivity
Analysis and applications of LP Transportation and Assignment Models. 08 CO2
3 Integer Programming Model: Gomory's cutting plane method, Branch &
Bound Technique.
Non L.P. Model: Lagrangian method & Kuhn tucker Method, Newton's
method.
Discrete Event Simulation: Generation of Random Variable, Simulation
Processes, Monte -Carlo Technique. 08 CO3
4 Multi Objective Decision making (MODM) Methods: Introduction to Multi
objective optimization, Traditional Techniques such as, quadratic
programming, geometric programming, Numerical on goal programming
and dynamic programming.
Introduction to Non -traditional optimization Techniques such as Genetic
Algorithm, particle swarm, genetic algorithms, simulated annealing and
Techniques based on Neural network & Fuzziness (Only concepts) 08 CO4
5 Multi Criterion Decision -making (MCDM) Methods: Introduction to multi
criterion optimization , Simple Additive Weighting (SAW) Method Weighted
Product Method (WPM) , Analytic Network Process (ANP)
Analytic Hierarchy Process (AHP) Method , TOPSIS Method PROMETHEE 06 CO5

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6 Robust Design Methods: DOE and Taguchi techniques
Full Factorial Design: The basics of "full factorials", ANOVA, Factorial
effects and plots, and Model evaluation
Fractional Factorial Design: The one -half fraction and one -quarter of the 2 k
design, The general 2 k-p fractional factorial design Application of related
software (Minitab, Design Expert or MATLAB) 08 CO6

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 content 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 .

Text/Reference Books:
1. S.S. Rao, "Engineering Optimization - Theory and Practice", John Wiley and Sons Inc.
2. Ranjan Ganguli, "Engineering Optimization - A Modern Approach" Universities Press
3. Pablo Pedregal, "Introduction to Optimization", Springer
4. L.C. Jhamb, "Quantitative Techniques Vol. 1 and 2", Everest Pub. House
5. Pierre D.A., "Optimization, Theory with Application", John Wiley & sons.
6. R V Rao, “Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple
Attribute Decision Making” (Springer Publication).
7. Ritter, H., Martinetz, T., &Schulten, K., Addison,“Neural Computation and Self -Organizing Maps” -Wesley
Publishing Company
8. Douglas C.Montgomery,“Design and analysis of experiments”(John Wiley & Sons Inc.)
9. Saravanan R,“Manufacturing Optimization through Intelligent Techniques”, Taylor & Francis (CRC Press) -
2006.

Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/112/101/112101298/ - Optimization from Fundamentals, IIT Bombay

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Course Code Course Name Credits
ARDL O5013 Advanced Sensors 03


Course
Objectives : 1. To expose the students to the concepts of smart sensors and micro sensors .
2. To provide sufficient knowledge about the sensor fabrication.
3. To create awareness about the various application fields of smart sensors.
Course Outcomes :






The students will be able to -
1. Explain the various principles employed in transducers.
2. Examine the methods of fabricating a sensor.
3. Apply knowledge in designing smart sensors.
4. Discuss the techniques of fabrication and application of MEMS.
5. Describe the various applications of smart sensors.
6. Discuss advanced sensing technology.
Prerequisite : Fundamentals of transducers
Module Content Hrs CO
Mapping
1 Review of Fundamental of Sensors: Principle of physical and chemical
transduction, sensor classification, characterization of mechanical, electrical,
optical, thermal, magnetic, chemical and biological sensors, their calibration
and determination of characteristics 07 CO1
2 Sensor Fabrication :
Design considerations and selection criterion as per standards, Sensor
fabrication techniques, process details and latest trends in sensor fabrication.
Thick film sensing and system design. 06 CO2
3 Smart Sensors: Smart sensor basics, signal conditioning and A/D conversion
for sensors, examples of available ICs (DHT, Smart analog IC 500, ADXL345)
and their applications. 07 CO3
4 Micro Sensors: Introduction, Intrinsic characteristics of MEMS, common
fabrication techniques, application of MEMS in sensing systems including
pressure sensors, accelerometers, gyroscopes and strain gauges. 06 CO4
5 Advanced Sensor Applications: Temperature & Humidity measurement using
DHT Sensor in environment monitoring, Acceleration measurement using
ADXL345 for automotive industry, MEMS Temperature sensors for
automotive applications, MEMS chemical sensors for survey meters, MEMS
pressure sensors for medical applications 07 CO5

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6 Advanced Sensing Technology: Sensors, instruments and measurement
techniques for emerging application areas such as environmental measurement
like DO (dissolves oxygen),BOD (biological oxygen demand), COD (chemical
oxygen demand), TOC (total organic carbon), Cox (carbon dioxides), NOx
(nitrogen oxide), for navigation and inertial measurements, for agricultural
measurements such as soil moisture, wind speed, leaf wetness duration, sensors
for food processing like smell or odour,taste. 06
CO6

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

Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 4 to 5 marks
will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective lecture hours
as mentioned in the syllabus.
Text Books:
1. Chang Liu, Foundations of MEMS, Pearson Education Inc.,2012.
2. Stephen D Senturia, Microsystem Design, Springer Publication,2000.
3. Tai Ran Hsu, MEMS & Micro systems Design and Manufacture, Tata Mc Graw
Hill, New Delhi,2002.
4. Jacob Fraden, Handbook of Modern Sensors, 5th Edition, Springer .
5. S. M. Sze, Semiconductor Sensors, Wiley
6. M J Usher, Sensors and Transducers, MacMillan,1985.
References :
1. Nadim Maluf, “An Introduction to Micro Electro Mechanical System Design”, Artech
House, 2000.
2. Mohamed Gad -el-Hak, editor, The MEMS Handbook, CRC press Baco Raton,2001.
3. Julian w. Gardner, Vijay K. Varadan, Osama O.Awadelkarim, Micro Sensors
MEMS and Smart Devices, John Wiley & Son LTD,2002.
4. James J.Allen, Micro Electro Mechanical System Design, CRC Press Publisher,2005.
5. Thomas M. Adams and Richard A.Layton, Introduction to MEMS, Fabrication
and Application, Springer,2010.

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Course Code Course Name Credits
ARDL O5014 Analytical Instrumentation 03
Course
objectives 1. 1. Introduce the basic concept of qualitative and quantitative analysis of a given sample.
2. Study various spectroscopic techniques and its instrumentation.
3. Study the concept of separation science and its applications.
4. Study the concept of radiochemical analysis along with industrial analyzers.
Course
Outcomes The students will be able to:
1. Define and explain various fundamentals of spectroscopy, qualitative and quantitative
analysis.
2. Discuss the terms, principle, instrumentation, operation and applications of Molecular
spectroscopic techniques.
3. Differentiate between principle, instrumentation and operation of Atomic absorption and
emission Spectroscopy.
4. Explain the various Separation techniques and its instrumentation.
5. Describe the principle and working of various Radiation detectors.
6. Discuss the principle and working of various Gas analyzers.
Details of Syllabus:
Prerequisite: Knowledge of sensors and analog electronic circuits.
Module Content Hrs CO
Mapping
1 Introduction: Introduction to analytical Instrumentation. Fundamentals of
Spectroscopy: Nature of Electromagnetic Radiation, Electromagnetic spectrum,
Beer Lambert‘s Law statement and derivation. Deviations from Beer‘s law.
Numerical on EMR and laws of photometry.
Interaction of radiation with matter. Instrumentation of spectroscopic analytical
system – Radiation sources,Wavelength selectors, Detectors, signal processors
and readout modules.
Scintillation detector 9
CO1
2 Molecular Spectroscopy: Molecular Energy levels, correlation of energy
levels with transitions.
Electronic transitions and Vibrational transitions –
Introduction to UV -VIS molecular spectroscopy – basics of single beam, double
beam spectrophotometer and filter photometer, its instrumentation and
applications . Basic principle,components and instrumentation of Fluorimeters,
Phosphorimeters and Raman spectrometers. 9
CO2
3 Molecular Spectroscopy – Nuclear/Rotational transitions – Nuclear
Magnetic Resonance (NMR) spectroscopy, basic principle and numerical
problems based on NMR principle, instrumentation and constructional details
of NMR Spectrometer.
Electron Spin Resonance (ESR) Spectroscopy – Basic principle and
construction of ESR spectrometer.
4
CO3

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4 Atomic Spectroscopy: Atomic Energy levels, Atomic absorption
spectrometers - components, working and absorption spectra. Atomic Emission
spectrometers – components, working and emission spectra, comparison
between AAS and AES. 3 CO4
5 Separation Science:
Chromatography: Fundamentals of chromatographic Separations,
Classification, Gas chromatographic system with components, factors affecting
separation, applications. Analysis of Gas Chromatogram. HPLC – Its principle
and instrumentation.
Mass Spectrometers: Basic principle, components and types of mass
spectrometers, sample handling techniques for liquids and solids, resolution and
numerical problems based on resolution.
9
CO5
6 Industrial Gas Analyzers:
Oxygen Analyzer, Combustion Gas Analyzers (COX, NOX, SOX,
hydrocarbons), Gas density analyzer 5 CO6
Internal Assessment:
Internal Assessment consists of two tests out of which, one should be compulsory class test (on minimum
02 Modules)
End Semester Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus where in sub questions of 4 to 5 marks
will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective. Lecture hours as
mentioned in the syllabus.
Text Books:
1. Willard, Merritt, Dean, Settle, Instrumental Methods of Analysis, CBS Publishers & Distributors, New
Delhi, 7th Edition.
2. Khandpur R. S., Handbook of Analytical Instruments, Tata McGraw –Hill Publications, 3rd Edition.
Reference Books:
1. Skoog, Holler, Niemen, Thomson Principles of Instrumental Analysis, Books -Cole Publications, 5th
Edition.
2. Ewing Galen W., Instrumental Methods of Chemical Analysis, McGraw -Hill Book Company, 5th Edition.
3. Braun Robert D., Introduction to Instrumental Analysis, McGraw -Hill Book Company.
4. Sherman R.E., Analytical Instrumentation, ISA Publication.
5. B. R. Bairi, Balvinder Singh, N.C.Rathod, P.V.Narurkar, Handbook nuclear medical Instruments,
McGraw Hill Book Company.

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Course Code Course Name Credits
ARL501 Power Electronics and Drives & Digital Signal Processing Lab 01

Course
Objectives 1. To equip the students with the knowledge of semiconductor devices & their applications.
2. To learn the basic concept and characteristics of Electrical motors and their
drives.
3. Study simulation software platform for digital signal processing and Plot different type
of signals.
4. To understand the concept of linear, circular convolution, correlation and simulate it by
computer software.
5. To understand Fourier transform and its algorithms such as FFT and IFFT and simulate
it.
6. To design and implement filters both FIR and IIR using computer simulation..
Course
Outcomes Students will be able to:
1. Compare basic characteristics and ratings of power electronic devices.
2. Use controlled rectifiers, Inverters & choppers with different loads.
3. Illustrate working of AC & DC drives.
4. Demonstrate convolution and correlation concepts using simulation software.
5. Analyse frequency response of LTI systems using DTFT. Perform Discrete Fourier
Transform of signals.
6. Design and implement FIR and IIR filters using computer simulation software
platform.
List of Laboratory Experiments:

Sr. No
Detailed Contents CO
Mapping
01 Plot V -I characteristics of SCR. CO1
02 Plot V -I characteristics of DIAC/TRIAC. CO1
03 Plot V -I characteristics of IGBT CO1
04 Half wave & full wave controlled rectifier. CO2
05 SCR Based Inverter CO2
06 Stepper Motor Control CO3
07 BLDC Motor Control CO3
08 DC Motor Control CO3
09 Write a Program to implement Linear Convolution of the two given sequences. CO4
10 Write a Program to obtain the auto -correlation and Cross -correlations of the
given sequences. CO4

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11 Write a Program to obtain the circular convolution of the two given sequences. CO4
12 Write a Program to obtain the linear convolution using circular convolution of
two given sequences. CO4
13 Write a Program to find the DFT of the given sequences. Plot its magnitude
and phase plot. Also find its IDFT to obtain the original sequence. CO5
14 Write a Program to obtain the DFT of the given sequences using DIT -FFT
algorithm and plot its magnitude and phase spectrum. CO5
15 Write a Program to design low -pass and high -pass FIR filters using window
functions. CO6
16 Write a Program to design a digital IIR low -pass filter using
Butterworth/Chebyshev approximations. CO6

Any other experiment based on syllabus which will help students to understand topic/concept.

Practical Oral Examination:
Oral examination will be based on entire syllabus.
Term Work:
Term work shall consist of minimum eight experiments and any two using software. The
distribution of marks for term work shall be as follows:
Laboratory work (Experiments) : 10 Marks
Laboratory work (programs /journal) : 10 Marks
Attendance : 05 Marks
The final certification and acceptance of term work ensures the satisfactory performance of laboratory
work and minimum passing in the term work.

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Course Code Course Name Credits
ARL502 Industrial Processes Lab 01

Objectives:
1. To study the need Basic Manufacturing Processes .
2. To study various types cutting and joining operation
3. To make the students familiar with various industrial processes.
4. To give them an overview of hazardous materials, areas and their classification.
5. To study advanced Technologies in manufacturing processes
Outcomes: Learner will be able to…
1. Understand various safety instructions, measuring Instrutments and working instructions of
Machine shop.
2. Illustrate working principles and applications Lathe Machine , Drillin g Machine , Milling
Machine Processes .
3. Explain the welding operation and u se the various types Forging tools .
4. Explain heating process working of heat exchanger, evaporators and boilers.
5. Elaborate heat and mass transfer process and working of distillation, dryers and reactors.
6. Classify hazardous areas in the industry.
,
List of Experiments:

Sr. No. List of Experiments CO
Mapping
1. Study of Safety & Working instruction in a Machine shop. CO1
2. Study of Measuring Instruments and cutting tools CO1
3 Report on machining processes performed on lathe machines . CO2
4. One Job consisting of Plain and Taper Turning operations performed on mild steel,
cylindrical components on lathe Machine. CO2
5. Report on machining processes performed on Drilling Machine CO2
6 Fabrication of one simple job on Milling Machine CO2
7. Preparation of lap joint of GI sheet using Spot compressive Welding. CO3
8. Report on forging tools . CO3
9. Demonstrate the operation of Heat exchanger, evaporator, boiler s. CO4
10. Assignments based on Heat transfer Processes and Equipments . CO4
11. Demonstrate the operation of distillation column, dryer, reactors . CO5
12. Assignments based on Heat and Mass transfer Processes and Equipments . CO5
13. Develop charts on hazardous area classification . CO6
14. Assignments based on Hazardous Area classification . CO6

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Any other experiment based on syllabus which will help students to understand the topic/concept. Chemical /
Manufacturers Factory visit is advised to understand Equipment and controls as well as practical aspects of the
subject.
Assessment :
Term work shall consist of minimum 04 experiments and 04 assignments.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments/assignments): 10 Marks
Laboratory work (journal): 10 Marks
Attendance : 05 Marks
End Semester Practical/Oral Examination:
Oral Examination will be based on experiments in the Laboratory as well as the theory syll abus.

The final certification and acceptance of term work ensures the satisfactory performance of Laboratory work
and minimum passing in the term work.
Future Courses Mapping:
Mention other courses that can be taken after completion of this course
1. Advance Manufacturing and automation
2. Automation and Simulation
3. Composite & Nano Materials
Job Mapping:
What are the Job opportunities that one can get after learning this course?
1. Automation Engineer.
2. R & D Design & Development .

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Course Code Course Name Credits
ARL503 Robot Kinematics and Dynamics Lab 01

Objectives:
1. To introduce types of mechanisms for various robotic applications.
2. To get knowledge about basic Geometrical and Algebraic approach to solve forward kinematics of
serial manipulator
3. To get knowledge about advanced forward kinematics of serial manipulators.
4. To get knowledge about inverse kinematics of various serial manipulators.
5. To get knowledge about design of robot manipulators based on dynamic analysis
Outcomes: Learner will be able to…
1. Select the type of mechanism for the robotic applications
2. Explain and a nalyse the Coordinate frames, tranformations and Forward kinematics of robots
3. Explain & Analyse the Inverse kinematics of robots
4. Design of robot manipulators based on dynamic analysis
5. Measure the mass moment of inertia and balancing of mass es of robotic links
6. Demonstrate understanding of fundamentals of industrial automation

List of Experiments: Minimum Eight experiments.
Sr. No. List of Experiments CO
Mapping
1. Computer program for analysis and synthesis of any mechanism and test it CO1
2. Determination of holding torque in epicyclic gear train. CO1
3 Design of cams and followers CO1
4. Forward kinematics of robots using r oboanalyzer CO2
5. Understanding coordinate frames and transformations using roboanalyzer CO2
5. Inverse kinematics of robots using r oboanalyzer CO3
6 Case Study: Kinematics of MTAB Mini Robot CO3
7. Inverse and Forward dynamics of robots using r oboanalyzer CO4
7. Determination of mass moment of inertia and radius of gyration of robotic links. CO5
8. Experiment on balancing of mass CO5
9. Virtual Models of Industrial Robots using r oboanalyzer C06
10. Industrial visit CO6

Assessment:
Distribution of marks for term work
Laboratory work 20 Marks
Attendance 05 Marks

End Semester Practical/Oral Examination:
1. Pair of Internal and External Examiner should conduct practical / viva based on contents
2. Distribution of marks for practical/viva examination shall be as follows:

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a. Practical performance 15 marks
b. Viva 10 marks
3. Evaluation of practical examination to be done based on the experiment performed and the
output of the experiment during practical examination
4. Students work along with evaluation report to be preserved till the next examination

Virtual Labs
• http://ial -coep.vlabs.ac.in/ - Industrial Automation Laboratory, COEP.
• Visualization of DH (Denavit –Hartenberg) parameters in Roboanalyzer (*Roboanalyzer is
free software developed by IIT Delhi, available on www.roboanalyzer.com ).

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Course code Course Name Credits
ARSBL501 Professional Communication and Ethics - II 02

Objectives:
Learners should be able to:
1. Discern and develop an effective style of writing important technical/business documents.
2. Investigate possible resources and plan a successful job campaign.
3. Understand the dynamics of professional communication in the form of group discussions, meetings, etc.
required for career enhancement.
4. Develop creative and impactful presentation skills.
5. Analyse personal traits, interests, values, aptitudes and skills.
6. Understand the importance of integrity and develop a personal code of ethics.
Outcomes: Learners will be able to …
1. Plan and prepare effective business/ technical documents which will in turn provide solid foundation for their
future managerial roles.
2. Strategize their personal and professional skills to build a professional image and meet the demands of the
industry.
3. Emerge successful in group discussions, meetings and result -oriented agreeable solutions in group
communication situations.
4. Deliver persuasive and professional presentations.
5. Develop creative thinking and interpersonal skills required for effective professional communication.
6. Apply codes of ethical conduct, personal integrity and norms of organizational behaviour.
MODULE DETAILS HOURS CO
Mapping
MODULE 1 - ADVANCED TECHNICAL WRITING: PROJECT/PROBLEM BASED
LEARNING (PBL)
CO1
1.1. Purpose and
Classification of
Reports Classification on the basis of:
● Subject Matter (Technology, Accounting, Finance,
Marketing, etc.)
● Time Interval (Periodic, One -time, Special)
● Function (Informational, Analytical, etc.)
● Physical Factors (Memorandum, Letter, Short
& Long) 06
1.2. Parts of a Long
Formal
Report ● Prefatory Parts (Front Matter)
● Report Proper (Main Body)
● Appended Parts (Back Matter)
1.3. Language and
Style of ● Tense, Person & Voice of Reports
● Numbering Style of Chapters, Sections, Figures, Tables

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33
Reports and Equations
● Referencing Styles in APA & MLA Format
● Proofreading through Plagiarism Checkers
1.4. Definition,
Purpose & Types of
Proposal
s ● Solicited (in conformance with RFP) & Unsolicited
Proposals
● Types (Short and Long proposals)
1.5. Parts of a
Proposal ● Elements
● Scope and Limitations
● Conclusion
1.6. Technical
Paper
Writing ● Parts of a Technical Paper (Abstract, Introduction,
Research Methods, Findings and Analysis, Discussion,
Limitations, Future Scope and References)
● Language and Formatting
● Referencing in IEEE Format
MODULE 2 - EMPLOYMENT SKILLS CO2
2.1. Cover Letter &
Resume
● Parts and Content of a Cover Letter
● Difference between Bio -data, Resume & CV
● Essential Parts of a Resume
● Types of Resume (Chronological, Functional &
Combination)
06
2.2 Statement of
Purpose ● Importance of SOP
● Tips for Writing an Effective SOP
2.3 Verbal Aptitude
Test ● Modelled on CAT, GRE, GMAT exams
2.4. Group
Discussions ● Purpose of a GD
● Parameters of Evaluating a GD
● Types of GDs (Normal, Case -based & Role Plays)
● GD Etiquettes
2.5. Personal
Interviews ● Planning and Preparation
● Types of Questions
● Types of Interviews (Structured, Stress, Behavioural,
Problem Solving & Case -based)
● Modes of Interviews: Face -to-face (One -to one and
Panel)
Telephonic, Virtual
MODULE 3 - BUSINESS MEETINGS CO3
3.1. Conducting
Business Meetings ● Types of Meetings
● Roles and Responsibilities of Chairperson, Secretary
and Members
● Meeting Etiquette 02
3.2. Documentation ● Notice
● Agenda
● Minutes
MODULE 4 -TECHNICAL/ BUSINESS PRESENTATIONS CO4

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4.1. Effective
Presentation
Strategies ● Defining Purpose
● Analysing Audience, Location and Event
● Gathering, Selecting &Arranging Material
● Structuring a Presentation
● Making Effective Slides
● Types of Presentations Aids
● Closing a Presentation
● Platform Skills 02
4.2 Group
Presentations ● Sharing Responsibility in a Team
● Building the contents and visuals together
● Transition Phases
MODULE 5 - INTERPERSONAL SKILLS CO5
5.1. Interpersonal
Skills ● Emotional Intelligence
● Leadership & Motivation
● Conflict Management & Negotiation
● Time Management
● Assertiveness
● Decision Making 08
●Financial Literacy
● Risk Assessment
● Data Analysis (e.g. Consumer Behaviour, Market
Trends, etc.)
MODULE 6 - CORPORATE ETHICS CO6
6.1. Intellectual ● Copyrights
● Trademarks
● Patents
● Industrial Designs
● Geographical Indications
● Integrated Circuits
● Trade Secrets (Undisclosed Information) 02
6.2. Case Studies ● Cases related to Business/ Corporate Ethics

List of Assignments for Term work
(In the form of Short Notes, Questionnaire/ MCQ Test, Role Play, Case Study, Quiz, etc.)
1. Cover Letter and Resume
2. Short Proposal
3. Meeting Documentation
4. Writing a Technical Paper/ Analysing a Published Technical Paper
5. Writing a SOP
7. IPR
8. Interpersonal Skills
9. Aptitude test (Verbal Ability)
Note:
1. The Main Body of the project/book report should contain minimum 25 pages (excluding Front and
Back matter).
2. The group size for the final report presentation should not be less than 5 students or exceed 7 students.
3. There will be an end –semester presentation based on the book report.
Guidelines for Internal Assessment
Term Work 25 Marks

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35
Assignments 10 Marks
Attendance 05 Marks
Presentation slides 05 Marks
Book Report (hard copy) 05 Marks
Internal Oral - 25 Marks
Oral Examination will be based on a GD & the Project/Book Report presentation.
Group Discussion 10 Marks
Project presentation (Individual Presentation) 10 Marks
Group Dynamics 05 Marks
Suggested Reading
1. Arms, V. M. (2005). Humanities for the engineering curriculum: With selected chapters from
Olsen/Huckin: Technical writing and professional communication, second edition. Boston, MA:
McGraw -Hill.
2. Bovée, C. L., &Thill, J. V. (2021). Business communication today. Upper Saddle River, NJ: Pearson.
3. Butterfield, J. (2017). Verbal communication: Soft skills for a digital workplace. Boston,
MA: Cengage Learning.
4. Masters, L. A., Wallace, H. R., & Harwood, L. (2011).Personal development for life and
work. Mason: South -Western Cengage Learning.
5. Robbins, S. P., Judge, T. A., & Campbell, T. T. (2017). Organizational Behaviour. Harlow, England:
Pearson.
6. Meenakshi Raman, Sangeeta Sharma (2004) Technical Communication, Principles and
Practice. Oxford University Press
7. Archana Ram (2018) Place Mentor, Tests of Aptitude For Placement Readiness.
Oxford University Press
8. Sanjay Kumar &PushpLata (2018). Communication Skills a workbook, New Delhi:
Oxford University Press.
Virtual Labs
https://ve -iitg.vlabs.ac.in/ - Virtual English and Communication Virtual Lab, IIT Guwahati
http://vlabs.iitb.ac.in/vlabs -dev/labs/communication/ - Professional Communication Virtual Lab, IIT
Bombay

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36
Course code Course Name Credits
ARPBL501 Mini Project -III 02

Course Objectives:
1. To acquaint with the process of identifying the needs and converting it into the problem.
2. To familiarize the process of solving the problem in a group.
3. To acquaint with the process of applying basic engineering fundamentals to attempt solutions
to the problems.
4. To inculcate the process of self -learning and research.
Course Outcomes: Learner will be able to…
1. Identify problems based on societal/research needs.
2. Apply Knowledge and skill to solve societal problems in a group.
3. Develop interpersonal skills to work as member of a group or leader.
4. Draw the proper inferences from available results through theoretical/experimental/simulations.
5. Analyze the impact of solutions in societal and environmental context for sustainable
development.
6. Use standard norms of engineering practices
7. Excel in written and oral communication.
8. Demonstrate capabilities of self -learning in a group, which leads to lifelong learning.
9. Demonstrate project management principles during project work.
Guidelines for Mini Project
• Studentsshallformagroupof3to4students, while forming a group shall not be allowed less than
three or more than four students, as it is a group activity.
• Students should do survey and identify needs, which shall be converted into problem statement
for mini project in consultation with faculty supervisor/head of department/internal committee
of faculties.
• Student shall submit implementation plan in the form of Gantt/PERT/CPM chart, which will
cover weekly activity of mini project.
• A log book to be prepared by each group, wherein group can record weekly work progress,
guide/supervisor can verify and record notes/comments.
• Faculty supervisor may give inputs to students during mini project activity; however, focus
shall be on self -learning.
• Students in a group shall understand problem effectively, propose multiple solution and select
best possible solution in consultation with guide/supervisor.
• Students shall convert the best solution into working model using various components of their
domain and demonstrate.
• The solution to be validated with proper justification and report to be compiled in standard
format of University of Mumbai.
• With the focus on the self -learning, innovation, addressing societal problems and
entrepreneurship quality development within the students through the Mini Projects, it is
preferable that a single project of appropriate level and quality to be carried out in two

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37
semesters by all the groups of the students. i.e., Mini Project 1 & 2 in semester III and IV. Similarly,
Mini Project 3 & 4 in semesters V and VI.
• However, based on the individual students or group capability, with the mentor’s
recommendations, if the proposed Mini Project adhering to the qualitative aspects mentioned
above gets completed in odd semester, then that group can be allowed to work on the extension
of the Mini Project with suitable improvements/modifications or a completely new project idea
in even semester. This policy can bead opted on case -by-case basis.
Guidelines for Assessment of Mini Project:
Term Work
• The review/ progress monitoring committee shall be constituted by head of departments
of each institute. The progress of mini project to be evaluated on continuous basis,
minimum two reviews in each semester.
• In continuous assessment focus shall also be on each individual student, assessment
based on individual’s contribution in group activity, their understanding and response to
questions.
• Distribution of Term work marks for both semesters shall be as below;
o Marks awarded by guide/supervisor based on logbook 10
o Marks awarded by review committee 10
o Quality of Project report 05
Review/progress monitoring committee may consider following points for
assessment based on either one year or half year project as mentioned in general
guidelines.
One-year project:
• In first semester entire theoretical solution shall be ready, including components/system
selection and cost analysis. Two reviews will be conducted based on presentation given
by students group.
▪ First shall be for finalization of problem
▪ Second shall be on finalization of proposed solution of problem.
• In second semester expected work shall be procurement of component’s/systems,
building of working prototype, testing and validation of results based on work completed
in an earlier semester.
▪ First review is based on readiness of building working prototype to be conducted.
▪ Second review shall be based on poster presentation cum demonstration of
working model in last month of the said semester.
Half -year project:
• In this case in one semester students’ group shall complete project in all aspects including,
o Identification of need/problem
o Proposed final solution
o Procurement of components/systems
o Building prototype and testing
• Two reviews will be conducted for continuous assessment,
▪ First shall be for finalization of problem and proposed solution
▪ Second shall be for implementation and testing of solution.

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38 Assessment criteria of Mini Project:
Mini Project shall be assessed based on following criteria;
1. Quality of survey/need identification
2. Clarity of Problem definition based on need.
3. Innovativeness in solutions
4. Feasibility of proposed problem solutions and selection of best solution
5. Cost effectiveness
6. Societal impact
7. Innovativeness
8. Cost effectiveness and Societal impact
9. Full functioning of working model as per stated requirements
10. Effective use of skillsets
11. Effective use of standard engineering norms
12. Contribution of an individual’s as member or leader
13. Clarity in written and oral communication
• In one year, project , first semester evaluation may be based on first six criteria’s
and remaining may be used for second semester evaluation of performance of
students in mini project.
• In case of half year project all criteria in generic may be considered for evaluation
of performance of students in mini project.
Guidelines for Assessment of Mini Project Practical/Oral Examination:
• Report should be prepared as per the guidelines issued by the University of Mumbai.
• Mini Project shall be assessed through a presentation and demonstration of working model
by the student project group to a panel of Internal and External Examiners preferably from
industry orresearchorganisationshavingexperienceofmorethanfiveyearsapproved by head of
Institution.
• Students shall be motivated to publish a paper based on the work in Conferences/students
competitions.
Mini Project shall be assessed based on following points;

1. Quality of problem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Full functioning of working model as per stated requirements
5. Effective use of skillsets
6. Effective use of standard engineering norms
7. Contribution of an individual’s as member or leader
8. Clarity in written and oral communicatio n

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39 Course Code Course Name Credits
ARC601 Robotic Control system 03


Course
Objectives 1. To make the students familiar with dynamic modeling of robots.
2. To make the students understand Nonlinear control of manipulators.
3. To make students understand Force control of manipulators.
4. To make the students understand Kinematic model of steered robot.
5. To make the students study Vision based control.
6. To make students understand PID control of single link manipulator and planar
2R manipulator.
Course
Outcomes
On successful completion of the course, students will be able to -
1. Learn basic concepts in dynamic modeling of robots.
2. Understand and design Nonlinear control of manipulators.
3. Design Force control of manipulators
4. Analyse Kinematic model of steered robot and differentially driven mobile robot.
5. Understand Vision based control systems.
6. Design PID control of single link manipulator and planar 2R manipulator.

Module Content Hrs CO
Mapping
1 Review of dynamic modelling of robots:
Introduction to robot control - Necessity of Controllers for Robots, typical
block schematic closed loop and feed forward control. Linear control of
manipulators - closed -loop control, second -order linear systems, control of
second -order systems, control -law partitioning, trajectory -
following control, Feedback control of single link mani pulator, closed loop
control of wall following robot - block schematic - sensor selection etc. 08 CO1
2 Nonlinear Control of manipulators
PD Gravity Control, Computed Torque Control, adaptive control Task
Space Control Schemes – resolved motion rate control and resolve
motion acceleration control. 07 CO2
3 Force control of manipulators
Introduction, application of industrial robots to assembly tasks,
force control of a mass —spring system, the hybrid position/force control
problem, the hybrid position/force control scheme. 06 CO3
4 Kinematic model of steered robot and differentially driven mobile
robot
Control of a mobile robot to move to a point, to follow a line, following a
path, moving to a pose, Dynamic model of quad copter, Controller design
to track any desired trajectory. 07 CO4
5 Vision based Control
Configuration of a vision system, image segmentation, image
interpretation, Pose estimation, Stereo vision, Camera Calibration, Position
based visual servoing, Image based visual servoing, Hybrid visual
servoing. 08 CO5
6 Case study – 03 CO6

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40 PID Control of single link manipulator and planar 2R manipulator, resolved
motion rate control of 2R manipulator, force control of peg in whole
assembly task, control of any industrial robot.

Internal Assessment:
Internal Assessment consists of two tests out of which, one should be a compulsory class test (on
Minimum 02 Modules) and the other is either a class test or assignment on live problems or Course
project.
Theory Examination:
1. Question paper will comprise 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on the entire syllabus wherein sub questions
of 4 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question, paper weightage of each module will be proportional to the number of
respective lecture hours as mentioned in the syllabus.
Text Books:
1. Robotics and Control, R K Mittal, I J Nagrath
2. Nonlinear systems, Hassan K. Khalil, Pearson
3. Introduction to Robotics Mechanics and Control, John J. Craig, 3e, Pearson.
4. Robotics: Fundamental Concepts and Analysis, Ashitava Ghosal, Oxford
5. Robotics - Modelling planning and control - Bruno Siciliano , Lorenzo Sciavicco Luigi Villani,
Giuseppe Oriolo, Springer -Verlag London.
6. Peter Corke, “Robotics, Vision and Control -Fundamental Algorithms in MATLAB”, Springer
Tracts in Advanced Robotics, volume 73.
7. The Robotics Primer -Maja J Matari´c, The MIT Press
References:
1. Probabilistic Robotics: Sebastian Thrun, Wolfram Burgard, Dieter Fox, MIT Press
2. Modern Robotics Mechanics, Planning and Control, Kevin M. Lynch, Frank C. Park, Cambridge
University Press, 2017 .

Page 44

41 Course Code Course Name Credits
ARC60 2 Process Instrumentation and control 03

Course
Objectives 1. To make the students familiar with Process control Fundamentals.
2. To make the students understand control actions and controllers.
3. To make students understand various control schemes.
4. To make the students understand Heat transfer unit operations and control schemes.
5. To make the students understand Heat and Mass transfer unit operations and control
schemes.
6. To make students understand Automation and control schemes in process industries.

Course
Outcomes
On successful completion of the course, Students will be able to:
1. Learn basic concepts and fundamentals of Process control.
2. Analyse different process control actions and classify controllers like electronic,
pneumatic and Hydraulic and their Tuning Techniques
3. Explain continuous and discrete control schemes
4. Describe control schemes of Heat transfer unit operations
5. Discuss control schemes of heat and mass transfer unit operations.
6. Explain Automation and control schemes in process industries.

Module Contents Hrs. CO
Mapping
1. Fundamentals of Process Control
Process Control Terminology, Development of Typical Process control
loops like Pressure, Temperature, flow & Level.
Process characteristics, control system parameters, Dynamic elements in a
control loop, Dead time processes and smith predictor compensator.Inverse
response behavior of processes and compensator.
Dynamic Behavior of first and second order systems. Interacting and non -
interacting systems. 08 CO1
2. Process control actions and Controllers
Control actions Types -Discontinuous,continuous (P, I, D) and composite
control actions (PI, PD, and PID), Effects of control actions on control loop,
selection criteria.
Controllers: Need for controller, General features, specifications,
classification working of Pneumatic and Electronic controllers. controller
Tuning Methods -Process reaction curve, Ziegler -Nichols method. 06 CO2
3. Control schemes
Continuous process control : Feedback, Feed forward, cascade, Ratio, split
range, selective control, inferential control, and selection Guidelines.
Discrete state process control
Need for Discrete state process control systems,Relay Logic symbols,
Development of Relay ladder Logic diagram and case study examples. 06 CO3
4. Heat exchanger controls : degrees of freedom, feedback, feed -forward,
bypass control schemes.
Evaporator control : steady state model, feedback, cascade, feed forward
and selective control.
Boiler controls - Drum level control - Single, two and three elements, and
Combustion Control -Type 1, 2, 3 and 4, steam temperature control, boiler
pressure control, furnace draft control.
07 CO4

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42 5. Distillation column control strategies - Top and bottom product
composition controls -inferential and direct, Pressure controls, Vapors
recompression, Feed controls - Column feed controls ,economizer.
Dryer control: Process of drying, types and control strategies of dryer -
Tray , fluidized bed, rotary and spray dryer.
Reactor control: feedback, feed -forward, cascade schemes of temperature
control of reactors. 06 CO5
6. Process Industries:
Refinery Industry: Process flow diagram, separation, conversion
methods, sensors and control schemes.
Iron and steel Industry: Process flow diagram, Sensors and Control
schemes. Fertilizer Industry: Process flow diagram, sensors and control
schemes.
Overview of Effluent and sewage Treatment plant and its Automation. 06 CO6

Internal Assessment:
Internal Assessment consists of two tests out of which, one should be a compulsory class test (on
Minimum 02 Modules) and the other is either a class test or assignment on live problems or Course
project.
Theory Examination:
1. Question paper will comprise 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on the entire syllabus wherein sub questions of 4 to
5 marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question, paper weightage of each module will be proportional to the number of respective
lecture hours as mentioned in the syllabus.

Text Books:
1. Curtis D. Johnson, “Process Control Instrumentation Technology”, PHI /Pearson Education 2002 .
2. George Stephanopoulos, “Chemical process control”, An introduction to theory and practice PHI-
1999 .
Reference Books:
1. Bela G. Liptak, “Instrument Engineer‟s HandBook – Process Control”, Chilton Company,
3rdEdition,1995.
2. G. F. (Jerry) Gilman, “Boiler control system Engineering” Second Edition .

Page 46

43 Course Code Course Name Credits
ARC603 Manufacturing using Computer Aided Design 03

Objectives:
1. To familiarize with basic concepts of computer graphics.
2. To acquaint with the process of using biomedical data for 3D modeling.
3. To study programming aspects of subtractive manufacturing process.
4. To familiarize with basic process of additive manufacturing in particularly 3D printing.
Outcomes: Learner will be able to…
1. Identify suitable computer graphics techniques for 3D modeling.
2. Transform, manipulate objects & store and manage data.
3. Develop 3D model using various types of available biomedical data.
4. Create the CAM Toolpath for specific given operations.
5. Build and create data for 3D printing of any given object using rapid prototyping and tooling
processes.
6. Illustrate understanding of various cost-effective alternatives for manufacturing products.

Module Detailed
Contents Hrs. CO
Mapping
1. Computer Graphics
1.1 Introduction: Scope of CAD/CAM in product life cycle, CAD/CAM
hardware and software, 2D and 3D computer graphics representation,
Mapping of Geometric Models.
1.2 Parametric representation of curves and surfaces: Synthetic Curves -
Bezier curves, Hermite Curves, B -spline curves. Surface representation.
1.3 Solid Modeling: Constructive solid geometry (CSG), Boundary
Representation (BRep), Wire Frame Modeling, Solid Modeling, Surface
Modeling, Parametric Modeling, Feature based modeling, Constraint
Based Modeling. 07 CO1
2. Geometric Transformation
2.1 Homogeneous Coordinate system, Matrix representation,
Concatenations, 2D and 3D geometric transformation (Translation,
Reflection, Scaling, Rotation) 07 CO2
3. Modeling based on Biomedical data
3.1 Introduction to medical imaging: Computed tomography (CT), Cone
beam CT (CBCT), Magnetic resonance (MR), Noncontact surface
scanning, Medical scan data, Point cloud data
3.2 Working with medical scan data: Pixel data operations, Using CT
data: a worked example, Point cloud data operations, Two -dimensional
formats, Pseudo 3D formats, True 3D formats, File management and
exchange 06 CO3
4. Subtractive Manufacturing
4.1 Introduction: NC/CNC/DNC machines, Machining Centers,
Coordinate system
4.2 CNC machining practices and programming: setup, and operation of
two- and three axis.
CNC machines programming using manual part programming method,
Canned Cycles. 07 CO4

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44 5. Additive Manufacturing
5.1 Rapid Prototyping: Introduction, Classification of RP Processes,
Advantages & disadvantages. RP Applications; in Design, Concept
Models, Form & fit checking, Functional testing, CAD data verification,
Rapid Tooling, and bio fabrication.
5.2 Working Principle, Application, Advantages & disadvantages: of
Stereolithography Apparatus (SLA) Selective Laser Sintering (SLS), 3D
Printing, Fused Deposition Modeling (FDM), and Laminated Object
Manufacturing (LOM) 07 CO5
6. Virtual Manufacturing
6.1 Virtual Manufacturing: Introduction, Scope, Socio -economic
Aspects and Future Trends 05 CO6

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). Duration of each test shall be one hour.
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. CAD/ CAM, Theory & Practice, Ibrahim Zeid, R. Sivasubramanian, Tata McGraw Hill Publications
2. CAD/CAM Principles and Applications, P. N. Rao, Tata McGraw Hill Publications
3. CAD/CAM Computer Aided and Manufacturing, Mikell P. Groover and Emory W. Zimmers, Jr.,
Eastern Economy Edition
4. CNC Technology and Programming, Krar, S., and Gill, A., McGraw Hill Publishers.
5. Medical Modelling The Application of Advanced Design and Rapid Prototyping Techniques in
Medicine, Richard Bibb, Dominic Eggbeer and Abby Paterson, Woodhead Publishing Series in
Biomaterials: Number 91, Elsevier Ltd.
6. Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, I. Gibson l
D. W. Rosen l B. Stucker, Springer Publication.
7. Rapid Prototyping and Manufacturing, P. F. Jacobs, Society of Manufacturing Engineers
8. Advanced Machining and Manufacturing Processes, Kaushik Kumar Divya Zindani, J. Paulo Davim,
Springer International Publishing

Links for online NPTEL/SWAYAM courses:
1. https://nptel.ac.in/courses/112/102/112102101/
2. https://nptel.ac.in/courses/106/102/106102065/
3. https://nptel.ac.in/courses/106/102/106102065/
4. https://nptel.ac.in/courses/112/102/112102103/
5. https://nptel.ac.in/courses/112/105/112105211/
6. https://nptel.ac.in/courses/112/104/112104265/
7. https://www.youtube.com/watch?v=2cCMty9v3Tg
8. https://www.youtube.com/watch?v=2zPh26Q1BT8

Page 48

45 Course Code Course Name Credits
ARC604 Machine Learning 03

Course
Objectives 1. To familiarize student with basic concepts of Machine learning.
2. To provide understanding of the concepts of regression, classification,
clustering and machine learning algorithms.
3. To introduce the students to various applications of Machine learning for
industrial automation and robotics
Course
Outcomes On successful completion of the course, Students will be able to:
1. Introduce concepts of Artificial Intelligence and Machine learning
2. Explain statistical tools and development of model for ML.
3. Explain and analyze the various algorithms for Supervised learning
4. Explain and analyze the various algorithms for Unsupervised learning.
5. Explain and analyze the algorithms of Artificial NN.
6. Apply ML algorithms for industrial automation and robotics.

Module Contents Hrs. CO
Mapping
1. Introduction to Machine Learning:
Introduction to Artificial Intelligence, Machine learning and Deep learning,
Types of machine learning – Supervised, Unsupervised and Reinforcement
learning 05 CO1
2. Design of Machine Learning System:
Collection of data, Data statistics – mean, variance, covariance, standard
deviation, random variable, probability distribution function, data pre -
processing, data scaling, training of data, testing of data and its validation.
Evaluation Metrics – Confusion matrix, precision, recall, F -score. 08 CO2
3. Supervised Learning:
Linear Regression, Multiple linear regression, Polynomial regression,
Logistic Regression, Regularization techniques. 06 CO3
4. Unsupervised Learning and Classification: K-means and Hierarchical
Clustering, Decision trees, Naïve -Bayes, SVM for linearly separable data,
Kernel SVM for non -linearly separable data Dimensionality
Reduction: LDA, Principal Component Analysis (PCA) 07 CO4
5. Artificial Neural Networks:
The Neurons and the Brain, Neural Networks and
Representation: Perceptron, Multilayer perceptron, Gradient Descent, back -
propagation. 07 CO5
6. Application of ML algorithms in Industrial Automation and Robotics:
ML algorithms applied for Factory automation, autonomous cars, automated
robotic arm, process control, Data screening, feature engineering, model
design, limitations. 06 CO6

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

Page 49

46 Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of 4 to 5
marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question, paper weightage of each module will be proportional to the number of respective
lecture hours as mentioned in the syllabus.

Text Books:
1. Harrington, Peter. Machine learning in action. Simon and Schuster, 2012.
2. Zheng, Alice, and Amanda Casari. Feature engineering for machine learning: principles and
techniques for data scientists. " O'Reilly Media, Inc.", 2018.
3. Jiang, Hui. Machine Learning Fundamentals: A Concise Introduction. Cambridge University
Press, 2021.
4. Huyen, C. “Designing Machine Learning Systems: An Iterative Process for Production -Ready
Applications”, O'Reilly Media, 2022.
5. Gupta, Itisha, and Garima Nagpal. Artificial Intelligence and Expert Systems. Stylus Publishing,
LLC, 2020.
Reference Books:
1. Pandey, Yogendra Narayan, et al. Machine Learning in the Oil and Gas Industry. apress, Texas,
2020.
2. Bangert, Patrick, ed. Machine learning and data science in the oil and gas industry: Best practices,
tools, and case studies. Gulf Professional Publishing, 2021.
3. Das, Santosh Kumar, et al., eds. Machine learning algorithms for industrial applications. Cham:
Springer, 2021.

Page 50

47 Course Code Course Name Credits
ARDLO6021 DataBase Management Systems 03

Course Objectives:
1. Learn and practice data modeling using the entity -relationship and developing database designs.
2. Understand the use of Structured Query Language (SQL) and learn SQL syntax.
3. Apply normalization techniques to normalize the database
4. Understand the nee ds of database processing and learn techniques for controlling the consequences of
concurrent data access.
Course Outcomes:
The learner will be able:
1. To describe data models and schemas in DBMS.
2. Explain the features of database management systems and Relational database.
3. Use SQL - the standard language of relational databases.
4. Identify the functional dependencies and Design a database.
5. Describe the concept of Transactions Management and Concurrency.
6. Explain the concept of Query Processing and Optimization.

Module Detailed content Hours CO
Mapping
1 Introduction Database Concepts: Introduction, Characteristics of databases,
File system V/s Database system, Users of Database system, Concerns when
using an enterprise database, Data Independence, DBMS system architecture,
Database Administrator
Entity –Relationship Data Model :
Introduction, Benefits of Data Modeling, Types of Models, Phases of
Database Modeling, The Entity -Relationship (ER) Model, Generalization,
Specialization and Aggregation, Extended Entity -Relationship (EER) Model. 06 CO1
2 Relational Model and Algebra : Introduction , Mapping the ER and EER
Model to the Relational Model , Data Manipulation , Data Integrity
,Advantages of the Relational Model, Relational Algebra , Relational Algebra
Queries, Relational Calculus. 06 CO2
3 Structured Query Language (SQL) : Overview of SQL , Data Definition
Commands, Set operations , aggregate function , null values, , Data
Manipulation commands, Data Control commands , Views in SQL, Nested
and complex queries . 07 CO3
4 Integrity and Security in Database: Domain Constraints, Referential
integrity, Assertions, Trigger, Security, and authorization in SQL
Relational –Database Design : Design guidelines for relational schema,
Function dependencies, Normal Forms - 1NF, 2 NF, 3NF, BCNF and 4NF 08 CO4
5 Transactions Management and Concurrency: Transaction concept,
Transaction states, ACID properties, Implementation of atomicity and
durability, Concurrent Executions, Serializability, Recoverability,
Implementation of isolation, Concurrency Control: Lock -based , Timestamp -
based , Validation -based protocols, Deadlock handling, Recovery System:
Failure Classification, Storage structure, Recovery & atomicity, Log based
recovery, Shadow paging.
07 CO5

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48 6 Query Processing and Optimization: Overview ,Issues in Query
Optimization ,Steps in Query Processing , System Catalog or Metadata, Query
Parsing , Query Optimization, Access Paths , Query Code Generation , Query
Execution, Algorithms for Computing Selection and Projection , Algorithms
for Computing a Join , Computing Aggregation Functions , Cost Based Query
Optimization . 05 CO6

Internal Assessment:
Internal Assessment consists of two tests out of which, (on Minimum 02 Modules) .
Termwork:
Term work should consist of at least 12 experiments.
Journal must include at least 2 assignments.
Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of 4 to 5 marks
will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective lecture hours
as mentioned in the syllabus.
Text Books:
1. G. K. Gupta :”Database Management Systems”, McGraw – Hill.
2. Korth, Slberchatz,Sudarshan, :”Database System Concepts”, 6th Edition, McGraw – Hill
3. Elmasri and Navathe, “ Fundamentals of Database Systems”, 5thEdition, PEARSON Education.
4. Peter Rob and Carlos Coronel, “ Database Systems Design, Implementation and Management”,
Thomson Learning, 5th Edition.

Reference Books :
1. Dr. P.S. Deshpande, SQL and PL/SQL for Oracle 10g,Black Book, Dreamtech Press Mark L. Gillenson,
Paulraj Ponniah, “ Introduction to Database Management”,Wiley
2. Sharaman Shah ,”Oracle for Professional”, SPD.
3. Raghu Ramkrishnan and Johannes Gehrke, “ Database Management Systems”,TMH
4. Debabrata Sahoo “Database Management Systems” Tata McGraw Hill, Schaum’s Outline

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49
Course Code Course Name Credits
ARDL O6022 Industrial Robotics and Material Handling
System 03

Course Objectives :
1. To introduce the basic concepts, parts of robots and types of robots.
2. To make the student familiar with the various drive systems for robot, sensors and their applications
in robots and programming of robots.
3. To discuss about the various applications of robots, justification and implementation of robot.
4. Concepts of material handling, principles and considerations in material handling systems design

Course Outcomes: Learner will be able to:
1. To introduce the basic concepts, parts of robots and types of robots.
2. To make the student familiar with the various drive systems for robot, sensors and their applications
in robots and programming of robots.
3. To discuss about the various applications of robots, justification and implementation of robot.
4. Explain the gripper force analysis and design.
5. To introduce the basic concepts, principles and design considerations
6. Implement safety regulations in material handling systems.
Module Detailed Contents Hrs. CO
Mapping
01 Types of industrial robots, Load handling capacity, general
considerations in Robotic material handling, material transfer,
machine loading and unloading, CNC machine tool loading,
Robot centered cell.
05
CO1
02 Robotic vision systems, image representation, object recognition
and categorization, depth measurement, image data compression,
visual inspection, software considerations.
07
CO2
03 Application of Robots in continuous arc welding, Spot welding,
Spray painting, assembly operation, cleaning, robot for
underwater applications. 07
CO3
04 Gripper force analysis and gripper design, design of multiple
degrees of freedom, active and passive grippers. Selection of
Robot : Factors influencing the choice of a robot, robot
performance testing, economics of robotisation, Impact of robot
on industry and society. 06 CO4
05 Concepts of material handling, principles and considerations in
material handling systems design, conventional material handling
systems - industrial trucks, monorails, rail guided vehicles,
conveyor systems, cranes and hoists, advanced material handling
systems, automated guided vehicle systems, automated storage 07 CO5

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50 and retrieval systems (ASRS), bar code technology, radio
frequency identification technology.
06 Factors affecting selection of material handling equipment,
Material handling equation, Choices of Material Handling
Equipment, General Procedure for Selection, Basic Analytical
techniques, Selection of suitable types of material handling
systems , Functions and Parameters, affecting service, packing
and storage material, Selection of Material Handling Equipment
in Green Sand Moulding Foundry, Sugar Manufacturing Industry. 07 CO6
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). Duration of each test shall be one hour.

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 1will 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 module3)
4. Only Four questions need to be solved.

Text Books
1. Richaerd D Klafter, Thomas Achmielewski and Mickael Negin, “Robotic Engineering – An
integrated Approach” Prentice HallIndia, New Delhi, 2001.
2. Mikell P. Groover,”Automation, Production Systems, and Computer Integrated Manufacturing“,
2nd Edition, John Wiley & sons, Inc, 2007.
3. Industrial Automation and Robotics by Er. A. K. Gupta and S. K. Arora, University Science
Press, Laxmi Publishing Pvt. Ltd.
4. mmer J. R., Material Handling, Tata McGraw Hill Publication.
5. James Apple, Material Handling System Design, John Wiley
6. Theodore H., Allegre Sr., Material Handling Principles and Practice, CBS Publishers and
Distributors.

References:
1. James A Rehg, “Introduction to Robotics in CIM Systems”, Prentice Hall of India, 2002.
2. Deb S R, "Robotics Technology and Flexible Automation", Tata McGraw Hill, New Delhi, 1994.
3. Robotics and Control by R. K. Mittal and I. J. Nagrath, McGraw Hill Education (India) Private
Limited.

Page 54

51

Course Code Course Name Credits
ARDL O6023 Metal Forming Technology 03

Course
Objectives 1. To conversant with the basic knowledge on fundamentals of metal forming processes
2. To study various metal forming processes
3. Understanding plastic deformation and technical analysis of forming processes

Course Outcomes
Students would be able
1. Understand the concept of different metal forming process.
2. Explain the concept of Rolling processes both analytically and numerically
3. Explain the concept of forging processes both analytically and numerically
4. Explain the concept of Extrusion processes both analytically and numerically
5. Explain the concept of Drawing processes both analytically and numerically.
6. Explain the Sheet Metal Forming principle , process parameters and their
applications.

Module Contents Hrs. CO
Mapping

1 Introduction to Metal Forming:
Metallurgical aspects of metal forming, slip, twinning mechanics of plastic
deformation, effects of temperature, strain rate, microstructure and friction
in metal forming -yield criteria and their significance, Classification of
Metal Forming Processes, Advantages and Limitations, Stress strain
relations in elastic and plastic deformation, concept of flow stresses,
deformation mechanisms, Hot and Cold Working Processes and Its Effect
on Mechanical Properties. 08
CO1
2 Rolling:
Introduction and Classification, Types of Rolling Mills, Forces and
Geometrical Relationships in Rolling, Calculation of Rolling Load, Roll
Pass Design, and Defects in Rolled Products. 07
CO2
3 Forging:
Introduction and Classification, operation and principle of Forging
Processes and Equipment, Methods of forging, Open and Close Die
Forging Processes, Defects, Structure and Properties of Forged Products.
Force Analysis in forging. 07
CO3
4 Extrusion:
Introduction and Classification, Extrusion Equipment, Forces in extrusion,
Analysis of Extrusion Process, Extrusion of components including
Seamless Pipes and Tubes. Extrusion of pipes by cold working. 06 CO4
5 Drawing:
Introduction and Classification, Wire Drawing, Rod Drawing, Tube
Drawing, Deep Drawing, Analysis of Wire Drawing Process and Load
Calculations. 05 CO5

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52 6 Sheet Metal Forming:
Principle, process parameters, equipment and application of the following
processes: spinning, stretch forming, plate, V and edge bending, Curling,
Ironing, Roll Bending, Metal Spinning. Press brake forming, explosive
forming, Hydro forming, electro hydraulic forming, and magnetic pulse
forming. High Velocity forming of metals and High energy Rate forming 06 CO6

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.
Text/Reference Books: -
1. Lin D Balint M Pietrzyk, Microstructure Evolution in Metal Forming Processes 1st Edition
2. Amitabha Ghosh and Asok Kumar Mallick, Manufacturing Science, Affiliated East -West Press
3. Christian Brecher and Ozdemir , Advances in Production Technology, Springer Publications
4. P.C. Sharma , A Text Book on Production Engineering, S. Chand Publications
5. P. N. Rao, “Manufacturing Technology”, Tata McGraw Hill
6. Aviter, “Fundamental of Metal Working”, McGraw Hill Publisher
7. Dieter, “Mechanical Metallurgy”
Links for online NPTEL/SWAYAM courses:
https://nptel.ac.in/courses/112/107/112107250/ - Principles of Metal Forming Technology, IIT Roorkee
https://nptel.ac.in/courses/112/106/112106153/ - Forming, IIT Madras .

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53
Course Code Course Name Credits
ARDLO6024 Biomedical Instrumentation 03

Course
Objectives 1. To make students understand the Identification, classification, and working
principle of various Biomedical Instruments used for Bio -potential measurement
2. To make students understand the application of the various biomedical instruments
in diagnosis, therapeutic and imaging fields




Course
Outcomes
The students will be able to:
1. Identify various Bio-potential with their specifications and perform their
measurements.
2. Discuss various Physiological systems and to identify their parameters and
related measurements.
3. Explain the principle and working of various cardiovascular parameters and
their measurement techniques with applications.
4. Distinguish between the various medical imaging techniques based on the
principles and concepts involved in them.
5. Relate between the different life support instruments and to describe their
applications.
6. Describe the significance of electrical safety in biomedical measurement.

Prerequisite: Biology and human physiology.
Module Contents Hrs. CO
Mapping

1 Bio-Potentials and their Measurement:
Structure of Cell, Origin of Bio -potential, electrical activity of cell and
its characteristics and specifications. Measurement of RMP and AP.
Electrode -Electrolyte interface and types of bio -potential electrodes. 05
CO1
2 Physiological Systems and Related Measurement:
Respiratory system - Physiology of respiration and measurements of
respiratory related parameters.
Nervous system - Nerve cell, neural communication, nerve -muscle
physiology, Generation of EEG and study of its characteristics. Normal
and abnormal EEG, evoked potential and epilepsy.
Muscular system - Generation of EMG signal and measurement.
Cardiovascular system - Structure of Heart, Electrical and Mechanical
activity of Heart, ECG measurements and Cardiac arrhythmias, Heart
sound measurement. Design of ECG amplifier. 08
CO2
3 Cardiovascular Measurement:
Blood Pressure measurement using Direct and Indirect techniques.
Blood Flow meters - Electromagnetic and Ultrasonic types.
Blood Volume measurement - Plethysmography. (Impedance)
Cardiac Output measurement - Fick method, Dye -dilution and Thermo -
dilution type 08
CO3

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54 4 Imaging Techniques: *
X-Ray tube construction, working and its application.
CT Scan - CT Number, Block Diagram, scanning system and
application.
MRI – concept, working and its application
Working principle of Ultrasound Imaging - Modes of scanning and their
application. 08 CO4
5 Life support Instruments:
Pacemaker - modes of pacing and its application.
Defibrillator - AC and DC Defibrillators and their application.
Heart Lung machine and its application during surgery.
Hemodialysis system and the precautions to be taken during dialysis.
Ventilator system and its important parameters for monitoring 08 CO5
6 Significance of Electrical Safety:
Physiological effects of electrical current,
Shock Hazards from electrical equipment and methods of accident
prevention. 02 CO6
* A Hospital Visit is recommended.

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

Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of
4 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective
lecture hours as mentioned in the syllabus.

Text Books:
1. Leslie Cromwell, ―Biomedical Instrumentation and Measurements‖, 2nd Edition,
Pearson Education, 1980.
2. John G. Webster, ―Medical Instrumentation‖, John Wiley and Sons, 4th edition,2010.
3. R. S. Khandpur, ―Biomedical Instrumentation‖, TMH,2004

Reference Books:
1. Richard Aston, - Principles of Biomedical Instrumentation and Instruments‖, PH,1991.
2. Joseph J.Carrand JohnM.Brown, -Introduction to Biomedical Equipment Technology,
PHI/Pearson Education, 4th edition,2001.
3. John E Hall, Gyton‘s - Medical Physiology, 12th edition,2011
4. L. E. Baker L. A. Geddes, -Principles of Applied Biomedical Instrumentation‖, John
Wiley and Sons, 3rd Edition,1991.

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55 Course Code Course Name Credits
ARL601 Robot ic Control System Lab 01

Course
Objectives 1. To make the students familiar with the dynamic modelling of robots .
2. To make the students understand Nonlinear Control of manipulators
3. To make students understand Force control of manipulators .
4. To make the students understand Kinematic model of steered robot .
5. To make the students understand Vision based Control .
6. To make students understand PID Control of single link manipulator and planar
2R manipulator.
Course
Outcomes
On successful completion of the course, Students will be able to:
1. Learn basic concepts in dynamic modelling of robots.
2. Understand and design Nonlinear control of manipulators.
3. Design Force control of manipulators
4. Analyse Kinematic model of steered robot and differentially driven mobile
robot.
5. Understand Vision based control systems.
6. Design PID control of single link manipulator and planar 2R manipulator.
List of Experiments: Minimum Eight experiments.

Sr. No. List of Experiments CO
Mapping
1 Creating robot joint trajectories CO1
2 Study Inverse and Forward dynamics of robots CO1
3 Design stiffness control for 3 -link planner manipulator. CO2
4 Design trajectory following controller for a given system . CO3
5 Design trajectory following controller for a linear system or using
linearized model of the system. CO3
6 Study of Forward Kinematics of a 5R Robot Manipulator CO3
7 Study of Inverse Kinematics of a 5R Robot Manipulator CO3
8 Design of controller for Multilink Manipulator CO3
9 Design of Line follower robot control. CO4, CO5
10 Design of Navigation control of mobile robot using Neural Network
algorithm. CO4, CO5
11 Design Control a virtual robot using a joystick CO6
12 Study w orkspace Analysis of a 6 -axis robot CO6
13 Design PID Control ler for single link manipulator CO6

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56 14 Case study on any Industrial Robot CO6

Assessment:
Distribution of marks for term work
Laboratory work 20 Marks
Attendance 05 Marks
End Semester Practical/Oral Examination:
1. Pair of Internal and External Examiner should conduct practical / viva based on contents
2. Distribution of marks for practical/viva examination shall be as follows:
a. Practical performance 15marks
b. Viva 10 marks
3. Evaluation of practical examination to be done based on the experiment performed and the output
of the experiment during practical examination
4. Students work along with evaluation report to be preserved till the next examination

Page 60

57 Course Code Course Name Credits
ARL602 Process Instrumentation and Control lab 01

Course
Objectives : 1. To make the students familiar with Process control Fundamentals.
2. To make the students understand control actions and controllers.
3. To make students understand various control schemes.
4. To make the students understand Heat transfer unit operations and
control schemes.
5. To make the students understand Heat and Mass transfer unit operations
and control schemes.
6. To make students understand Automation and control schemes in process
industries.
Course
Outcomes : On successful completion of the course, Students will be able to:
1. Learn basic concepts and fundamentals of Process control.
2. Analyze different process control actions and classify controllers like
electronic, pneumatic and Hydraulic and their Tuning Techniques
3. Demonstrate continuous and discrete control schemes
4. Demonstrate control schemes of Heat transfer unit operations
5. Discuss control schemes of heat and mass transfer unit operations.
6. Describe Automation and control schemes in process industries.

Sr. No. List of Experiments CO
Mapping
1 Study Self-Regulation and Non-self-Regulation system CO1
2 Study Dynamic response of First order and second order systems. CO1
3 Study Temperature control systems using ON OFF controllers. CO2
4. Study Level control systems using PID controllers. CO2,CO3
5 Study and test Features and configuration of PID controllers. CO2,CO3
6. Study the Temperature control system using Heat Exchanger set up. CO4
7 Assignments / Reports based on Evaporator / Boiler / DC / Dryer /
Reactor CO5
8 Assignments / Reports based on Process Industries. CO6

Any other experiment based on syllabus which will help students to understand the topic/concept.
Oral Examination:
Oral Examination will be based on experiments in the Laboratory as well as the theory syllabus.

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58 Chemical / Fertilizer Factory visit is advised to understand Equipment and controls as well as practical
aspects of the subject.
Term Work:
Term work shall consist of minimum 06 experiments and 2 assignments.

The distribution of marks for term work shall be as follows:
Laboratory work (Experiments/assignments): 10 Marks
Laboratory work (journal): 10 Marks
Attendance (Theory plus Lab Practice): 05 Marks

The final certification and acceptance of term work ensures the satisfactory performance of Laboratory work
and minimum passing in the term work.

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59 Course Code Course Name Credits
ARL603 Machine Learning Lab 01

Course Objectives : 1. To familiarize student with basic concepts of Machine learning.
2. To provide understanding of the concepts of regression, classification,
clustering and machine learning algorithms.
3. To introduce the students to various applications of Machine learning
for industrial automation and robotics
Course Outcomes : On successful completion of the course, Students will be able to:
1. Develop programs to perform statistical analysis of data set.
2. Implement algorithms based on Supervised learning .
3. Implement algorithms based on Unsupervised learning.
4. Execute classification algorithms on given data set.
5. Develop programs based on Artificial NN.
6. Apply ML algorithms for industrial automation and robotics.

List of Experiments: Minimum ten experiments.

Sr. No. List of Experiments CO
Mapping
1. Write python program to determine mean, variance and standard deviation of given
data set. CO1
2. Write python program to implement linear regression with one variable for given
data set. CO1
3. Write python program to implement linear regression with two variables for given
data set. CO1
4. Implement regularized regression techniques such as LASSO or Ridge for given
dataset CO2
5. Write python programs to implement logistic regression for any given dataset. CO2
6. Write python programs to implement K -means clustering algorithm for image
compression CO3
7. Write python programs to implement Hierarchical clustering for any application CO3
8. Implement SVM for any classification application CO4
9. Implement decision tree or random forest algorithm for data classification CO4
10. Implement ANN for hand -written digit recognition CO5
11. Write a program for application of ML algorithm for automation application CO6
12. Case study/ mini -project on applying ML algorithms for any robotic application CO6

Assessment:
Distribution of marks for term work
Laboratory work 20 Marks
Attendance 05 Marks

End Semester Practical/Oral Examination:

Page 63

60 1. Pair of Internal and External Examiner should conduct practical / viva based on contents
2. Evaluation of practical examination to be done based on the experiment performed and the output
of the experiment during practical examination
3. Students work along with evaluation report to be preserved till the next examination

Page 64

61 Course Code Course Name Credits
ARLSBL601 CAD Modeling , CNC and 3 -D Printing Lab 02

Prerequisites: Engineering Drawing
Objectives:
1. To impart the 3D modeling skills for development of 3D models of basic engineering components.
2. To introduce Product data exchange among CAD systems.
3. To familiarize with production drawings with important features like GD &T, surface finish, heat
treatments etc.
4. To familiarize with subtractive manufacturing process in particular CNC systems.
5. To acquaint with basic part programing process for specific operations.
6. To familiarize with additive manufacturing process in particularly 3D printing.

Outcomes: Learner will be able to…
1. Illustrate basic understanding of types of CAD model creation , visualize and prepare 2D modeling of a
given object using modeling software.
2. Build solid model of a given object using 3D modeling software.
3. Generate assembly models of given objects using assembly tools of a modeling software and can p erform
product data exchange among CAD systems.
4. Develop and execute part programing for any given specific operation and can b uild any given object
using various CNC operations.
5. Demonstrate CAM Tool path and prepare NC - G code.
6. Build any given real life object using 3D printing process.



Sr. No. Exercises Hrs. CO
Mapping
1. CAD Introduction
CAD models Creation, Types and uses of models from different perspectives.
Parametric modeling.






24 CO1
2. 2D Modeling
Geometric modeling of an Engineering component, demonstrating skills in
sketching commands of creation (line, arc, circle etc.) modification (Trim,
move, rotate etc.) and viewing using (Pan, Zoom, Rotate etc.) CO1
3 Solid Modeling
3D Geometric modeling of an Engineering component, demonstrating
modeling skills using commands like Extrude, Revolve, Sweep, Blend, Loft
etc. CO2
4. Assembly
Constraints, Exploded views, interference check. Drafting (Layouts, Standard
& Sectional Views, Detailing & Plotting). CO3

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62 5. Data Exchange
CAD data exchange formats Like IGES, PDES, PARASOLID, DXF and
STL along with their comparison and applicability. CO3
6. Part programming and part fabrication on CNC Turning trainer (Involving
processes like Step turning, facing, Taper turning, threading, etc.)
(One job in a group of 4 -5 students)



12 CO4
7. Part programming and part fabrication on CNC Milling trainer (Involving
processes like contouring, drilling, facing, pocketing etc.)
(One job in a group of 4 -5 students) CO4
8. Tool -path generation by translation of part geometry from computer aided
design (CAD) to computer aided manufacturing (CAM) systems. CO5
9 Case Study: Report on a visit conducted to any Commercial CNC Machining
Centre explaining the Design features, pre -processing in CAM software and
its capabilities. CO5
10 Development of physical 3D mechanical structure using any one of the rapid
prototyping processes.


12 CO6
11 Check the constraints of any two RP systems for features like layer thickness,
orientation of geometry, support generation, post processing etc. CO6
12 Case Study: Usability of rapid tooling integrated investment casting process,
with their advantages and limitations in any one of emerging areas of
dentistry, jewelry, surgical implants, turbine blades, etc. CO6

Assessment:
Term work
Part A
Using the above knowledge and skills acquired through starting five modules , students should complete
Minimum five assignments/Experiments from the given sets of assignments (one from each set) using
standard .
CAD modeler like PTC Creo/CATIA/ Solid work/UG /any other suitable software.
Set 1: Beginner Level:
3D modeling of basic Engineering components likes Nuts, Bolts, Keys, cotter, Screws, Springs etc.
Set 2: Intermediate Level: 3D modeling of basic Machine components like Clapper block, Single tool
post, Lathe and Milling . Tail stock, Shaper tool head slide, jigs and fixtures Cotter, Knuckle joint, Couplings:

Page 66

63 simple, muff, flanged Protected flange coupling, Oldham’s coupling, Universal coupling,element of engine
system and Miscellaneous parts.
Set 3: Advance Level:
1) Generation of any Assembly model (minimum three child parts) along with Production drawing for any
of the system by creating 3D modeling with assembly constraints, Interference check, Exploded view,
GD&T, Bill of material.
2) Reverse Engineering of a physical model: disassembling of any physical model having not less than
five parts, measure the required dimensions of each component, sketch the minimum views required for
each component, convert these sketches into 3 -D model and create an assembly drawing with actual
dimensions .
Part B
● Any 2 exercises from 6 to 9 and 2 exercises from 10 to 12 of the above list
The distribution of marks for term work shall be as follows:
1. Part A Exercises Printouts/Plots : 10 Marks
2. Part B Exercises: 10 Marks
3. Attendance: 05 Marks
End Semester Practical/Oral examination:
To be conducted by pair of Internal and External Examiner
1. Each student will be given a practical assignment on the basis of the above Exercises which will be
completed within a given time and assessed by examiners during the oral examination.
2. The distribution of marks for oral -practical examination shall be as follows:
a. Practical Assignment: 15 marks
b. Oral: 10 marks
3. Evaluation of practical/oral examination to be done based on the performance of practical assignment.
4. Students work along with evaluation report to be preserved till the next examination
References:
1. Machine Drawing by N.D. Bhatt.
2. A textbook of Machine Drawing by Laxminarayan and M.L.Mathur, Jain brothers Delhi
3. Machine Drawing by Kamat and Rao
4. Machine Drawing by M.B.Shah
5. A text book of Machine Drawing by R.B.Gupta, Satyaprakashan, Tech. Publication
6. Machine Drawing by K.I. Narayana, P. Kannaiah, K.Venkata Reddy
7. Machine Drawing by Sidheshwar and Kanheya

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64 8. Autodesk Inventor 2011 for Engineers and Designers by Sham Tickoo and Surinder Raina, Dreamtech
Press
9. CAD/CAM Principles and Applications, P. N. Rao, Tata McGraw Hill Publications
10. CNC Technology and Programming, Krar, S., and Gill, A., McGraw Hill Publishers.
11. CNC Programming for Machining, Kaushik Kumar, Chikesh Ranjan, J. Paulo Davim, Springer
Publication.
12. Medical Modelling The Application of Advanced Design and Rapid Prototyping Techniques in
Medicine, Richard Bibb, Dominic Eggbeer and Abby Paterson, Woodhead Publishing Series in
Biomaterials: Number 91, Elsevier Ltd.
13. Biomaterials, artificial organs and tissue engineering, Edited by Larry L. Hench and Julian R. Jones,
Woodhead Publishing and Maney Publishing, CRC Press 2005
14. Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, I. Gibson l
D. W. Rosen l B. Stucker, Springer Publication.
15. Rapid Prototyping and Manufacturing, P. F. Jacobs, Society of Manufacturing Engineers

Page 68

65 Course code Course Name Credits
ARPBL601 Mini Project -IV 02

Objectives:
1. To acquaint with the process of identifying the needs and converting it into the problem.
2. To familiarize the process of solving the problem in a group.
3. To acquaint with the process of applying basic engineering fundamentals to attempt solutions to the
problems.
4. To inculcate the process of self -learning and research.
Course Outcomes: Learner will be able to…
1. Identify problems based on societal/research needs.
2. Apply Knowledge and skill to solve societal problems in a group.
3. Develop interpersonal skills to work as member of a group or leader.
4. Draw the proper inferences from available results through theoretical/experimental/simulations.
5. Analyze the impact of solutions in societal and environmental context for sustainable
development.
6. Use standard norms of engineering practices
7. Excel in written and oral communication.
8. Demonstrate capabilities of self -learning in a group, which leads to lifelong learning.
9. Demonstrate project management principles during project work.
Guidelines for Mini Project
• Studentsshallformagroupof3to4students, while forming a group shall not be allowed less than three
or more than four students, as it is a group activity.
• Students should do survey and identify needs, which shall be converted into problem statement for
mini project in consultation with faculty supervisor/head of department/internal committee of
faculties.
• Student shall submit implementation plan in the form of Gantt/PERT/CPM chart, which will cover
weekly activity of mini project.
• A log book to be prepared by each group, wherein group can record weekly work progress,
guide/supervisor can verify and record notes/comments.
• Faculty supervisor may give inputs to students during mini project activity; however, focus shall
be on self -learning.
• Students in a group shall understand problem effectively, propose multiple solution and select best
possible solution in consultation with guide/supervisor.
• Students shall convert the best solution into working model using various components of their
domain and demonstrate.
• The solution to be validated with proper justification and report to be compiled in standard format
of University of Mumbai.
• With the focus on the self -learning, innovation, addressing societal problems and entrepreneurship
quality development within the students through the Mini Projects, it is preferable that a single
project of appropriate level and quality to be carried out in two semesters by all the groups of the
students. i.e., Mini Project 1 & 2 in semester III and IV. Similarly, Mini Project 3 & 4 in semesters V and
VI.

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66 • However, based on the individual students or group capability, with the mentor’s recommendations,
if the proposed Mini Project adhering to the qualitative aspects mentioned above gets completed in
odd semester, then that group can be allowed to work on the extension of the Mini Project with
suitable improvements/modifications or a completely new project idea in even semester. This
policy can bead opted on case -by-case basis.

Guidelines for Assessment of Mini Project:
Term Work
• The review/ progress monitoring committee shall be constituted by head of departments of each
institute. The progress of mini project to be evaluated on continuous basis, minimum two
reviews in each semester.
• In continuous assessment focus shall also be on each individual student, assessment based on
individual’s contribution in group activity, their understanding and response to questions.
• Distribution of Term work marks for both semesters shall be as below;
o Marks awarded by guide/supervisor based on logbook 10
o Marks awarded by review committee 10
o Quality of Project report 05
Review/progress monitoring committee may consider following points for assessment based on
either one year or half year project as mentioned in general guidelines.
One-year project:
• In first semester entire theoretical solution shall be ready, including components/system
selection and cost analysis. Two reviews will be conducted based on presentation given by
students group.
▪ First shall be for finalization of problem
▪ Second shall be on finalization of proposed solution of problem.
• In second semester expected work shall be procurement of component’s/systems, building of
working prototype, testing and validation of results based on work completed in an earlier
semester.
▪ First review is based on readiness of building working prototype to be conducted.
▪ Second review shall be based on poster presentation cum demonstration of working
model in last month of the said semester.
Half -year project:
• In this case in one semester students’ group shall complete project in all aspects including,
o Identification of need/problem
o Proposed final solution
o Procurement of components/systems
o Building prototype and testing
• Two reviews will be conducted for continuous assessment,
▪ First shall be for finalization of problem and proposed solution
▪ Second shall be for implementation and testing of solutio n.
Assessment criteria of Mini Project:
Mini Project shall be assessed based on following criteria;
1. Quality of survey/need identification
2. Clarity of Problem definition based on need.

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67 3. Innovativeness in solutions
4. Feasibility of proposed problem solutions and selection of best solution
5. Cost effectiveness
6. Societal impact
7. Innovativeness
8. Cost effectiveness and Societal impact
9. Full functioning of working model as per stated requirements
10. Effective use of skillsets
11. Effective use of standard engineering norms
12. Contribution of an individual’s as member or leader
13. Clarity in written and oral communication

• In one year, project , first semester evaluation may be based on first six criteria’s and remaining
may be used for second semester evaluation of performance of students in mini project.
• In case of half year project all criteria in generic may be considered for evaluation of performance
of students in mini project.

Guidelines for Assessment of Mini Project Practical/Oral Examination:
• Report should be prepared as per the guidelines issued by the University of Mumbai.
• Mini Project shall be assessed through a presentation and demonstration of working model by the
student project group to a panel of Internal and External Examiners preferably from industry
orresearchorganisationshavingexperienceofmorethanfiveyearsapproved by head of Institution.
• Students shall be motivated to publish a paper based on the work in Conferences/students
competitions.
Mini Project shall be assessed based on following points :
1. Quality of problem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Full functioning of working model as per stated requirements
5. Effective use of skillsets
6. Effective use of standard engineering norms
7. Contribution of an individual’s as member or leader
8. Clarity in written and oral communication .

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