CHRIST (Deemed to University), Bangalore

DEPARTMENT OF MECHANICAL AND AUTOMOBILE ENGINEERING

School of Social Sciences

Syllabus for
Bachelor of Technology (Robotics and Mechatronics)
Academic Year  (2023)

 
3 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BS351 ENGINEERING BIOLOGY LABORATORY Core Courses 2 2 50
EVS321 ENVIRONMENTAL SCIENCE Skill Enhancement Courses 2 0 0
MA335 MATHEMATICS-III Core Courses 3 3 100
MAHO331DMP DESIGN FOR ADDITIVE MANUFACTURING Minors and Honours 4 4 100
RM332P ANALOG AND DIGITAL ELECTRONICS Core Courses 3 4 100
RM333P ELECTRICAL MACHINES AND DRIVES Core Courses 5 4 100
RM334 ROBOTICS AND AUTOMATION Core Courses 3 3 100
RM335P BASIC CONCEPTS OF MECHATRONICS AND PLC Core Courses 3 3 100
4 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CY421 CYBER SECURITY - 2 0 0
HS421 PROFESSIONAL ETHICS - 2 2 50
MAHO431DMP COMPUTER AIDED ENGINEERING - 4 4 100
MICSAI432 DATA STRUCTURES AND ALGORITHMS - 5 4 100
RM431P EMBEDDED SYSTEMS - 5 4 100
RM432P SOLID AND FLUID MECHANICS - 5 4 100
RM433 KINEMATICS AND THEORY OF MACHINES - 3 3 100
RM434P FUNDAMENTALS OF PYTHON PROGRAMMING - 5 4 100
RM435 MOBILE ROBOTICS - 3 3 100
5 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AU544E8 FINITE ELEMENT ANALYSIS Discipline Specific Elective Courses 3 3 100
CEOE531 SOLID WASTE MANAGEMENT Interdisciplinary Elective Courses 3 3 100
CEOE532 DISASTER MANAGEMENT Interdisciplinary Elective Courses 3 3 100
CH536OE1 ELECTRONIC MATERIALS AND ITS FABRICATION Interdisciplinary Elective Courses 3 3 50
IC521 CONSTITUTION OF INDIA Skill Enhancement Courses 2 0 50
MA536OE6 APPLIED STATISTICS Interdisciplinary Elective Courses 3 2 50
MICSAI533 FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE Minors and Honours 4 4 100
NCCOE1 NCC1 Interdisciplinary Elective Courses 3 3 100
RM531P DATA ACQUISITION AND VISION SYSTEM IN ROBOTICS Core Courses 5 4 100
RM532P FLUID POWER AUTOMATION Core Courses 5 4 100
RM533 DESIGN OF MACHINE ELEMENTS Core Courses 3 3 100
RM544E1 AUTONOMOUS VEHICLES Discipline Specific Elective Courses 2 1 50
RM551 MODELLING AND ANALYSIS LABORATORY Core Courses 2 1 50
RM581 MINI PROJECT Project 4 2 50
VMEC511 FUNDAMENTALS OF CAE SIMULATIONS - 4 0 50
6 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BTGE631 CORPORATE SOCIAL RESPONSIBILITY - 2 2 100
BTGE632 DIGITAL MEDIA - 2 2 100
BTGE633 FUNCTIONAL ENGLISH - 2 2 100
BTGE634 GERMAN - 2 2 100
BTGE635 INTELLECTUAL PROPERTY RIGHTS - 2 2 100
BTGE636 INTRODUCTION TO AVIATION - 2 2 100
BTGE637 PROFESSIONAL PSYCHOLOGY - 2 2 100
BTGE651 DATA ANALYTICS THROUGH SPSS - 2 2 100
BTGE652 DIGITAL MARKETING - 2 2 100
BTGE653 DIGITAL WRITING - 2 2 100
BTGE654 PHOTOGRAPHY - 2 2 100
BTGE655 ACTING COURSE - 2 2 100
BTGE656 CREATIVITY AND INNOVATION - 2 2 100
BTGE657 PAINTING AND SKETCHING - 2 2 100
BTGE658 DESIGN THINKING - 2 2 100
RM631P DIGITAL MANUFACTURING - 5 4 100
RM632 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING - 3 3 100
RM633 FIELD AND SERVICE ROBOTS - 3 3 100
RM637 SERVICE LEARNING - 2 2 50
RM644E3 MOBILE APPLICATION DEVELOPMENT - 3 3 100
RM644E5 WIRELESS SENSOR NETWORKS FOR ROBOTICS - 3 3 100
RM651 AI AND MACHINE LEARNING LABORATORY - 2 1 50
7 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
ECOE7601 AUTOMOTIVE ELECTRONICS Interdisciplinary Elective Courses 3 3 100
EEOE731 BATTERY MANAGEMENT SYSTEMS FOR ELECTRICAL VEHICLES Interdisciplinary Elective Courses 3 3 100
RM733 CONTROL SYSTEM Core Courses 3 3 100
RM741E2 SMART SENSORS FOR IOT APPLICATIONS Core Courses 3 3 100
RM742E2 PRODUCT DESIGN AND DEVELOPMENT Core Courses 3 3 100
RM744E3 HYBRID-ELECTRIC VEHICLES Discipline Specific Elective Courses 3 3 100
RM751 AUTOMATION SYSTEM DESIGN LABORATORY Core Courses 2 2 50
RM781 PROJECT WORK PHASE - I Core Courses 2 2 50
RM782 INTERNSHIP Core Courses 4 2 50
8 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AU881 PROJECT WORK PHASE II Project 16 10 300
RM841E5 PROCESS PLANNING AND COST ESTIMATION Discipline Specific Elective Courses 3 3 100
    

    

Introduction to Program:

This programme integrates Robotics and Mechatronics. Robotics emphasise on synergistic integration of mechanical structures, mechanisms, electrical and electronic components, electromechanical sensors and actuators, microcontrollers, and programming, whereas Mechatronics, covers synergistic integration of mechanical engineering, control theory, computer science, and electronics to manage complexity, uncertainty, and communication in engineered systems. Programme is offered in multi-disciplinary nature, which combines mechanical, electronics and computing engineering and will add versatility to the graduates' capabilities. Graduates will be able to adapt flexibly to a wide range of industries, and make contributions in developing new technologies and pioneering new approaches in production. Graduates will also be able to upgrade their knowledge and skills by pursuing their studies in local or overseas universities. The programme prepares graduates to learn how to build robots and gadgets as required in specialized areas such as automation and robotics, wafer fabrication, aerospace or biomedical engineering.
The B.Tech degree in Robotics and Mechatronics will provide a curriculum spread through class room learning and experiential learning through hands on, Internship, and project work. Students will learn fundamental theory, modeling methods, hardware components, interfacing requirements, simulation and programming tools, and practical applications of mechatronics and robotics. Specifically, real-world mechatronics and robotics systems will provide an avenue for physics-based system modeling. In addition to mechanical aspects, students will learn about building-blocks of mechatronics and robotics, i.e., sensing, actuation, computing technologies, and algorithms, thus being introduced to real-world tools used by practicing professionals. Having learned the fundamental theory, modeling, hardware, and programming tools through core courses, students can specialize in one of three areas, namely, assistive mechatronic and robotic technologies; mobile robotics; or microrobotics.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Programme Specific Outcome:

PO2: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Programme Educational Objective:

PO3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice

PO7: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one?s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Assesment Pattern

COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

 

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

 

Practical Alone

Sl No

Component

Assessed for

Scale down to

1

CIA

50

25

2

ESE

50

25

3

Total

100

25

 

 

Examination And Assesments

 

Category

Weightage for CIA

Weightage for ESE

1

Courses with theory and practical

70

30

2

Courses with only theory

50

50

3

Courses with only Practical

50

50

BS351 - ENGINEERING BIOLOGY LABORATORY (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

Understanding and application of MATLAB and TINKERCAD for biological analysis which would results in better healthcare and any engineer, irrespective of the parent discipline (mechanical, electrical, civil, computer, electronics, etc.,) can use the disciplinary skills toward designing/improving biological systems. This course is designed to convey the essentials of human physiology.

 

The course will introduce to the students the various fundamental concepts in MATLAB and TINKERCAD for numerical analysis and circuit design using arduino.

 

 

 

Course Outcome

CO1Perform basic mathematical operation and analysis on biological parameters as BMI, ECG using MATLAB.L4

CO2Perform basic image processing on RGB images pertaining to medical data using MATLABL4

CO3Perform analysis on biological parameters using TinkerCad and design mini projects applicable for healthcare and biosensing.L4

 

Unit-1
Teaching Hours:30
LIST OF EXPERIMENTS
 

1.      To familiarize with Matlab Online and getting used to basic functionalities used in Matlab (arrays, matrices, tables, functions)

2.      To calculate the Body Mass Index (BMI) of a person and determine under what category the person falls under – underweight, normal, overweight

3.      To determine the R peaks in given ECG and to find HRV using Matlab.

4.      To determine the R peaks in given ECG and to find HRV using Matlab.

5.      To determine the R peaks in given ECG and to find HRV using Matlab.

6.      Introduction to Tinkercad and using the various tools available for running a simple program of lighting a LED bulb using Arduino (digital).

7.      To design a driver motor in Tinkercad using Arduino and driver motor

8.      To design a temperature sensor in Tinkercad using Arduino and TMP36

9.      To design and simulate gas sensors using potentiometers, Arduino and servo motors

10.  To design and simulate measuring pulse sensors using photodiodes, IR LED and Arduino

11.  Preparation of biopolymers (polylactic acid) at home using home-based ingredients.

Text Books And Reference Books:

 

 

 

 

 

Essential Reading / Recommended Reading

 

 

 

 

 

 

Evaluation Pattern

As per university norms

EVS321 - ENVIRONMENTAL SCIENCE (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:0
Credits:0

Course Objectives/Course Description

 

To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale.  

Course Outcome

CO1: Explain the components and concept of various ecosystems in the environment (L2, PO7)

CO2: Explain the necessity of natural resources management (L2, PO1, PO2 and PO7)

CO3: Relate the causes and impacts of environmental pollution (L4, PO1, PO2, and PO3, PO4)

CO4: Relate climate change/global atmospheric changes and adaptation (L4,PO7)

CO5: Appraise the role of technology and institutional mechanisms for environmental protection (L5, PO8)

Unit-1
Teaching Hours:6
Introduction
 

Environment and Eco systems – Definition, Scope and importance. Components of environment. Concept and Structure of eco systems. Material Cycles – Nitrogen, Carbon, Sulphur, Phosphorous, Oxygen. Energy Flow and classification of Eco systems.   

Unit-2
Teaching Hours:6
Natural Resources
 

Classification and importance- Forest, Water, Mineral, Food, Energy. Management of natural resources – challenges and methods. Sustainable development – Goals, Agriculture, Industries

Unit-3
Teaching Hours:6
Environmental Pollution
 

Causes and Impacts – Air pollution, Water pollution, Soil Pollution, Noise Pollution, Marine Pollution, Municipal Solid Wastes, Bio Medical and E-Waste. Solid Waste Management

Unit-4
Teaching Hours:6
Climate change/Global Atmospheric Change
 

Global Temperature, Greenhouse effect, global energy balance, Global warming potential, International Panel for Climate Change (IPCC) Emission scenarios, Oceans and climate change. Adaptation methods. Green Climate fund. Climate change related planning- small islands and coastal region. Impact on women, children, youths and marginalized communities

Unit-5
Teaching Hours:6
Environmental Protection
 

Technology, Modern Tools – GIS and  Remote Sensing,. Institutional Mechanisms - Environmental Acts and Regulations, Role of government, Legal aspects. Role of Nongovernmental Organizations (NGOs) , Environmental Education and Entrepreneurship

Text Books And Reference Books:

T1Kaushik A and Kaushik. C. P, “Perspectives in Environmental Studies”New Age International Publishers, New Delhi, 2018 [Unit: I, II, III and IV]

T2Asthana and Asthana, “A text Book of Environmental Studies”, S. Chand, New Delhi, Revised Edition, 2010 [Unit: I, II, III and V]

T3Nandini. N, Sunitha. N and Tandon. S, “environmental Studies” , Sapana, Bangalore,  June 2019 [Unit: I, II, III and IV]

T4R Rajagopalan, “Environmental Studies – From Crisis to Cure”, Oxford, Seventh University Press, 2017, [Unit: I, II, III and IV]

 

Essential Reading / Recommended Reading

R1.Miller. G. T and Spoolman. S. E, “Environmental Science”, CENAGE  Learning, New Delhi, 2015

R2.Masters, G andEla, W.P (2015), Introduction to environmental Engineering and Science, 3rd Edition. Pearson., New Delhi, 2013.

R3.Raman Sivakumar, “Principals of Environmental Science and Engineering”, Second Edition, Cengage learning Singapore, 2005.

R4.P. Meenakshi, “Elements of Environmental Science and Engineering”, Prentice Hall of India Private Limited, New Delhi, 2006.

R5.S.M. Prakash, “Environmental Studies”, Elite Publishers Mangalore, 2007

R6.ErachBharucha, “Textbook of Environmental Studies”, for UGC, University press, 2005.

R7. Dr. Pratiba Sing, Dr. AnoopSingh and Dr. PiyushMalaviya, “Textbook of Environmental and Ecology”, Acme Learning Pvt. Ltd. New Delhi.

Evaluation Pattern

No Evaluation

MA335 - MATHEMATICS-III (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To enable the students to find the Fourier series and harmonic analysis of a periodic function, solve the boundary value problems using Fourier series, ordinary differential equations by series solution method and describe functionals and solve variational problems.

Course Outcome

CO1: Representation linear transformation as a matrix. (L2)

CO2: Apply vector operators to transform the Cartesian coordinate system into spherical and cylindrical forms. (L3)

CO3: Estimate results by forward and backward interpolation. (L4)

CO4: Deduce the periodic functions as Fourier series expansion. (L4)

CO5: Predict the nature of partial differential equations and solve it by the method of variable separable. (L3)

Unit-1
Teaching Hours:9
Linear Transformation
 

Introduction to Linear Transformations, properties of linear transformation, Matrix representation of a linear transformation

Unit-2
Teaching Hours:9
Coordinate Systems
 

Curvilinear Coordinate System, Gradient, divergent, curl and Laplacian in cylindrical and Spherical Coordinate system, Transformation between systems.

Unit-3
Teaching Hours:9
Numerical Interpolation
 

Newton’s forward and backward interpolation, Newton’s divided difference method, Lagrange’s interpolation and inverse interpolation

Unit-4
Teaching Hours:9
Fourier Series
 

Periodic functions, Dirichlet’s conditions, General Fourier series, Odd and even functions, Half range sine and cosine series, Harmonic Analysis.

Unit-5
Teaching Hours:9
Partial Differential Equations
 

Formation of PDE, Solution of homogeneous PDE involving derivative with respect to one independent variable only (Both types with given set of conditions), solution of non- homogeneous PDE by direct integration, Solution of Lagrange’s linear PDE of the type P p +Q q= R

Text Books And Reference Books:

T1. Dr. B. Grewal, “Higher Engineering Mathematics”, 43rd Edition, Khanna Publishers, July 2014.

T2. H. K. Das & Rajnish Verma, “Higher Engineering Mathematics”, 20th Edition, S. Chand & Company Ltd., 2012

Essential Reading / Recommended Reading

R1. Erwin Kreyszig, “Advanced Engineering Mathematics”, 10th Edition, John Wiley & Sons,Inc. 2011.

R2. B.V. Ramana, 6th Reprint, “Higher Engineering Mathematics”, Tata-Macgraw Hill, 2008

R3. George F. Simmons and Steven G. Krantz, “Differential Equation, Theory, Technique and Practice”, Tata McGraw – Hill, 2006.

R4. M. D. Raisinghania, “Ordinary and Partial Differential Equation”, Chand (S.) & Co. Ltd., India, March 17, 2005

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

MAHO331DMP - DESIGN FOR ADDITIVE MANUFACTURING (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Additive Manufacturing (AM) is an economically viable alternative to conventional manufacturing technologies for producing highly complex parts. The main objective of this course is to acquaint students with the concept of AM, various AM technologies, selection of materials for AM, modeling of AM processes, and their applications in various fields. The course will also cover AM process plan including building strategies and post-processing.

Course Outcome

CO1: Demonstrate the knowledge of Additive Manufacturing and Rapid Prototyping technologies. {L2}

CO2: Describe different RP techniques used by manufacturing industries. {L2}

CO3: Discuss the fundamentals of various mechanisms used in modern machine tools to accommodate additive manufacturing. {L2}

CO4: Analyze various reverse engineering techniques in preparing STL models and 3D- CAD models to incorporate in rapid prototyping techniques. { L3}

CO5: Examine various techniques in additive manufacturing techniques for preparing a better product. {L2}

Unit-1
Teaching Hours:9
Introduction
 

Overview, Basic principle need and advantages of additive manufacturing, Procedure of product development in additive manufacturing, Classification of additive manufacturing processes, Materials used in additive manufacturing, Challenges in Additive Manufacturing.

Unit-2
Teaching Hours:9
Additive manufacturing Techniques
 

Z-Corporation 3D-printing, Stereolithography apparatus (SLA), Fused deposition modeling (FDM), Laminated Object Manufacturing (LOM), Selective deposition lamination (SDL), Ultrasonic consolidation, Selective laser sintering (SLS), Laser engineered net shaping (LENS), Electron beam free form fabrication (EBFFF), Electron beam melting (EBM), Plasma transferred arc additive manufacturing (PTAAM), Tungsten inert gas additive manufacturing (TIGAM), Metal inert gas additive manufacturing (MIGAM).

Unit-3
Teaching Hours:9
CNC Technology
 

Axes, Linear motion guide ways, Ball screws, Motors, Bearings, Encoders/ Glass scales, Process Chamber, Safety interlocks, Sensors. Introduction to NC/CNC/DNC machine tools, CNC programming and introduction, Hardware Interpolators, Software Interpolators, Recent developments of CNC systems for additive manufacturing

Unit-4
Teaching Hours:9
3D Modelling
 

Preparation of 3D-CAD model, Reverse engineering, Reconstruction of 3D-CAD model using reverse engineering, Part orientation and support generation, STL Conversion, STL error diagnostics, Slicing and Generation of codes for tool path, Surface preparation of materials.

Unit-5
Teaching Hours:9
additive manufacturing tooling accuracy
 

Support material removal, surface texture improvement, accuracy improvement, aesthetic improvement, preparation for use as a pattern, property enhancements using non-thermal and thermal techniques, Brief information on characterization techniques used in additive manufacturing, Applications of additive manufacturing in rapid prototyping, rapid manufacturing, rapid tooling, repairing and coating.

Text Books And Reference Books:

Units

Teaching Hours

Unit-1                                                  Introduction

Overview, Basic principle need and advantages of additive manufacturing, Procedure of product development in additive manufacturing, Classification of additive manufacturing processes, Materials used in additive manufacturing, Challenges in Additive Manufacturing.

9

Unit-2                                  

Z-Corporation 3D-printing, Stereolithography apparatus (SLA), Fused deposition modeling (FDM), Laminated Object Manufacturing (LOM), Selective deposition lamination (SDL), Ultrasonic consolidation, Selective laser sintering (SLS), Laser engineered net shaping (LENS), Electron beam free form fabrication (EBFFF), Electron beam melting (EBM), Plasma transferred arc additive manufacturing (PTAAM), Tungsten inert gas additive manufacturing (TIGAM), Metal inert gas additive manufacturing (MIGAM).

9

Unit-3   

Axes, Linear motion guide ways, Ball screws, Motors, Bearings, Encoders/ Glass scales, Process Chamber, Safety interlocks, Sensors. Introduction to NC/CNC/DNC machine tools, CNC programming and introduction, Hardware Interpolators, Software Interpolators, Recent developments of CNC systems for additive manufacturing

9

Unit-4                                            

Preparation of 3D-CAD model, Reverse engineering, Reconstruction of 3D-CAD model using reverse engineering, Part orientation and support generation, STL Conversion, STL error diagnostics, Slicing and Generation of codes for tool path, Surface preparation of materials.

9

Unit-5                            

Support material removal, surface texture improvement, accuracy improvement, aesthetic improvement, preparation for use as a pattern, property enhancements using non-thermal and thermal techniques, Brief information on characterization techniques used in additive manufacturing, Applications of additive manufacturing in rapid prototyping, rapid manufacturing, rapid tooling, repairing and coating.

9

Essential Reading / Recommended Reading

Text Books:

T1. Gibson, I, Rosen, D W., and Stucker,B., Additive Manufacturing Methodologies: Rapid Prototyping to Direct Digital Manufacturing, Springer, 2010.

 

T2. Chua C.K., Leong K.F., and Lim C.S., “Rapid prototyping: Principles and applications”, Third Edition, World Scientific Publishers, 2010.

 

T3. Chee Kai Chua, Kah Fai Leong, 3D Printing and Additive Manufacturing: Principles and Applications: Fourth Edition of Rapid Prototyping, World Scientific Publishers, 2014.

 

T4. Gebhardt A., “Rapid prototyping”, Hanser Gardener Publications, 2003.

Reference Books:

1.   Liou L.W. and Liou F.W., “Rapid Prototyping and Engineering applications: A tool box for prototype development”, CRC Press, 2007

 

2.   Kamrani A.K. and Nasr E.A., “Rapid Prototyping: Theory and practice”, Springer, 2006

 

3.   Mahamood R.M., Laser Metal Deposition Process of Metals, Alloys, and Composite Materials, Engineering Materials and Processes, Springer International Publishing AG 2018

 

4.   Ehsan Toyserkani, Amir Khajepour, Stephen F. Corbin, “Laser Cladding”, CRC Press, 2004

Online Resources:

W1. http://www.digimat.in/nptel/courses/video/112104204/L47.html

Evaluation Pattern

Total Hrs in a semester

CIA I -Evaluated out of (20/30)

CIA I cnverted to (10)

CIA II - Evaluated out of (50)

CIA II cnverted to ( 25/ ) 

Mention Whether CIA II is Centralized exam or department level Assessment

CIA III - Evaluated out of (20/30)

CIA III cnverted to (10)

Total CIA

Total CIA is scaled down to 20/45/55/65

If CIA is final Submission -Evaluated out of

Is there CIA minimum, if yes give the minimum CIA

Att. Marks

ESE Evaluated out of (50/100)

ESE converted to (50/100)

75

20

10

10

25

Centralized

20

10

90

65

50

20

5

100

30

RM332P - ANALOG AND DIGITAL ELECTRONICS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course will enable students to:

●     Recall and Recognize construction and characteristics of JFETs and MOSFETs and differentiate with BJT

●     Demonstrate and Analyze Operational Amplifier circuits and their applications

●     Describe and Design Decoders, Encoders, Digital multiplexers, Adders and Subtractors, Binary comparators, Latches and Master-Slave Flip-Flops.

●     Describe, Design and Analyze Synchronous and Asynchronous Sequential circuits..

●     Explain and design registers and Counters, A/D and D/A converters.

Course Outcome

CO1: Explain the transistor fundamentals including their characteristics. (L2)

CO2: Understand the elements inside an opamp and design basic applications of opamp. (L4)

CO3: Explain the concepts of analog to digital conversion and vice-versa. (L2)

CO4: Understand the fundamental concepts and techniques used in digital processing circuits. (L2)

CO5: Implement sequential logic circuits involving registers and counters. (L2)

Unit-1
Teaching Hours:9
TRANSISTOR FUNDAMENTALS
 

Bipolar Junction Transistors: Introduction, Construction of BJT, Current parameters, CE Configuration, DC Biasing: Fixed Bias and Emitter Bias Circuit, RC Coupled Amplifier

Field Effect Transistors: Introduction, Junction Field Effect Transistors: Construction, JFET Characteristics and Transfer Characteristics, MOSFETs: Depletion Type and Enhancement Type, CMOS Devices, MOSFET as switch, Wave Shaping Circuit : Clipper, Clamper

Unit-2
Teaching Hours:9
OPERATIONAL AMPLIFIER
 

Introduction, Operational Amplifier (OpAmps) IC741 pin diagram, Ideal Characteristics of OpAmps, Inverting and Non Inverting Amplifier, Summing Amplifier [Adder], Difference Amplifier [ Subtractor], Comparator, Sample and Hold Circuit, Schmitt Triger, Astable Multivibrator, Monostable Multivibrator. 

Unit-3
Teaching Hours:9
D/A CONVERSION & A/D CONVERSION
 

D/A Conversion and A/D Conversion: Variable, Resistor Networks, Binary Ladders,

D/A Converters, D/A Accuracy and Resolution, A/D Converter-Simultaneous Conversion, A/D Converter-Counter Method, Continuous A/D Conversion, A/D Techniques, Dualslope A/D Conversion, A/D Accuracy and Resolution.

Unit-4
Teaching Hours:9
COMBINATIONAL LOGIC
 

Introduction, Combinational Circuits, Analysis Procedure, Design procedure, Binary Adder-Subtractor, Decimal adder, Binary Multiplier, Magnitude Comparator, Decoder, Encoder, Multiplexer, HDL Models of Combinational Circuits. 

Unit-5
Teaching Hours:9
SEQUENTIAL LOGIC
 

Synchronous Sequential logic: Introduction, Sequential Circuits, Storage Elements: Latches, Storage Elements: Flip-Flops, Analysis of Clocked Sequential Circuits, Synthesizable HDL Models of Sequential Circuits.

Registers and Counters: Registers, Shift Registers, Ripple Counters, Synchronous Counters, Other Counters, HDL for Registers and Counters.

Text Books And Reference Books:

T1. Robert L. Boylestad and Louis Nashelsky, “Electronic Devices & Circuit Theory”, 11th edition.

T2. D Roy Chaoudhury and Shail B. Jain, “Linear Integrated Circuits” 4th Edition, New Age Inernational Publisher, 2017.

T3. M. Morris Mano and Michael D. Ciletti, “Digital Design”, 5th Edition, Prentice Hall of India Pvt. Ltd., New Delhi, 2015/Pearson Education (Singapore) Pvt. Ltd., New Delhi, 2013

Essential Reading / Recommended Reading

R1. A.P. Malvino, Electronic Principles, Tata Mcgraw Hill Publications.

R2.  William Kleitz, Digital Electronics, Prentice Hall International Inc.

R3. Nagrath, I J, “Electronics Analog and Digital”, New Delhi Prentice-Hall of India 1999 , ISBN:9788120314917

R4. Bhatia, Bhupesh, “Analog and Digital Electronics”, Firewall Media, 2008. ISBN:9788131804346

R5. A.S. Sedra & K.C.Smith, Microelectronics Circuits, Oxford University Press (1997).

Evaluation Pattern

CIA Marks

50

ESE Marks

50

Exam Hours

3 hrs.

RM333P - ELECTRICAL MACHINES AND DRIVES (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course, the students would be able to  

       To impart knowledge on the performance characteristics, speed control and starting methods of DC and AC motors.

       To impart knowledge on the basic of selection of drive for a given application.

       To impart knowledge on the concept of controlling the speed of DC and AC motor using Solid state converters.

       To prepare the students to understand, demonstrate and analyze the concepts of DC and AC Motors.

       To prepare the students to understand, demonstrate and analyze the concepts of DC Drive.

  • To prepare the students to understand, demonstrate and analyze the concepts of AC Drive

Course Outcome

CO1: Explain the various method of speed control of DC and AC motors (L1)

CO2: Describe the factors for selection of drive, various load pattern and determine their power rating. (L2)

CO3: Discuss the working of various power semiconductor devices. (L2)

CO4: Demonstrate the working of various power converters and inverters (L2)

CO5: Apply and Analyze the control of DC and AC motors with solid state power converters and inverters. (L2)

CO6: Conduct the suitable method for speed control of DC and AC motors. (L2)

Unit-1
Teaching Hours:10
Electric Motors
 

Constructional details – Principle of operation – Performance characteristics of DC Motor, Single Phase Induction Motor, Three Phase Induction Motor, Synchronous Motor, Universal Motor, Stepper Motors and Reluctance Motors

Unit-2
Teaching Hours:8
Speed Control and Starting
 

Speed control of D.C. motors – Ward – Leonard system – Electrical Braking – Starting methods - Three phase induction motors – Starting methods – Electrical braking – Speed Control methods – Slip Power Recovery Scheme

Unit-3
Teaching Hours:6
Electric Drives
 

Types of Electrical Drives – Selection & factors influencing the selection – heating and cooling curves – loading condition – Classes of duty – determination of Power rating – Load equalization

Unit-4
Teaching Hours:11
Power Semiconductor Devices and Converters and Inverters
 

Basic structure and operation of SCR, static and dynamic switching characteristics – MOSFET - general switching characteristics - IGBT - static and dynamic switching characteristics.

Introduction - Controlled Converters – two pulse converter - three pulse converter – Chopper – Types of Chopper – Inverter – Voltage Source Inverter – Current Source Inverter – Cycloconverter

Unit-5
Teaching Hours:10
Solid State Speed Control
 

Advantages of Solid State Control - Control of DC Drives using Converters – Choppers – Control of Three Phase Induction Motors using Stator Voltage Control – V/F Control and Slip Power Recovery Schemes using Inverters and AC power regulators.

Text Books And Reference Books:

T1. Gopal K. Dubey, “Fundamentals of Electric Drives”, Narosa Publications, New Delhi, 2nd Edition, 2002.

T2. Kothari D.P., Nagrath I.J., “Electrical Machines”, Tata McGraw Hill Education India Private Limited, New Delhi, 3rd Edition, 2004.

T3. Vedam Subrahmanyam, “Electric Drives: Concept and Application”, Tata McGraw-Hill Education, 2nd Edition, 2011.

Essential Reading / Recommended Reading

R1. Sen P.C., “Principles of Electrical Machines and Power Electronics”, John Wiley Publications Private Limited, 3rd Edition, 2013.

R2. Pillai S.K., “A First course on Electrical Drives”, New Age International Private Limited, New Delhi, 1991.

R3. Bhattacharya, “Electrical Machines”, Tata McGraw Hill Education, 2008.

Evaluation Pattern

COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

RM334 - ROBOTICS AND AUTOMATION (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

At the end of the course, the students would be able to  

1. To introduce the fundamentals of robotics and automation

2. To provide knowledge about the components of robotics

3. To deal with the applications of robotics and automation

Course Outcome

CO1: Recall the evolution of robots and their classification (L1)

CO2: Analyse the applications of sensors and actuators in robotics. (L4)

CO3: Describe the kinematics and dynamic behaviour of robots and its programming. (L2)

CO4: Appraise the emerging technologies in the field of robotics (L2)

CO5: Compare different concepts of automation (L2)

CO6: Apply knowledge of automation in various fields (L3)

Unit-1
Teaching Hours:9
INTRODUCTION AND ROBOT COMPONENTS
 

History of Robots, Definition, Robot anatomy, Asimov’s laws, Co-ordinate systems, work envelope, Classification, Specifications, Degrees of Freedom, Need for robots, Applications. Sensors: Range Sensors, Proximity Sensors, Position Sensors, Touch Sensors, Vision Systems (Qualitative Approach). Drives: Pneumatic, Hydraulic, Electric actuators, Comparison. End Effectors: Grippers, tools, selection of grippers and tools.

Unit-2
Teaching Hours:9
TRANSFORMATIONS AND ROBOT PROGRAMMING
 

Transformations: Robot Kinematics and Dynamics – Qualitative Study, Homogeneous Transformation, Rotational Transformation, Jacobians,

Robot Programming Techniques: Teach Pendant Method, Lead-through Programming, Intelligent Robots, Robot Programming Languages, Introduction to ROS.

Unit-3
Teaching Hours:9
ROBOT APPLICATIONS
 

Industrial Applications: Manufacturing, Assembly Automation, Machining, Drilling, Welding, Painting. Consumer Applications.

Emerging Applications: Mobile Robots, Medical Robots, Soft Robots, Collaborative Robots, Cloud Robots, Micro robots, Tele Robots, AGVs, Underwater Robots, Robotics and AI, RPA, Economic and Social Aspects of Robots.

Unit-4
Teaching Hours:9
INTRODUCTION TO AUTOMATION
 

Definition, Types of Automation, Advantages, Goals and Issues in Automation, Industry 4.0, Components of an automatic system, Trends in Automation – PLC, DCS, SCADA, AI based Automation.

Unit-5
Teaching Hours:9
APPLICATIONS OF AUTOMATION
 

Case Studies in Industrial Automation, Home Automation, Building Automation, Smart Cities, Future of Robotics and Automation

Text Books And Reference Books:

T1. Mikell P Groover, “Industrial Robotics”, Mc GrawHill, 2012.

T2. Gupta.A.K, Arora. S. K., Industrial Automation and Robotics, Mercury Learning and

Information, 2017.

Essential Reading / Recommended Reading

R1. Thomas. K. Rufuss, “Robotics and Automation Handbook”, CRC Press, 2018

R2. Ghoyal.K., Deepak Bhandari, “Automation and Robotics”, S.K.Kataria& Sons Publishers, 2012.

R3. John.J. Craig, “Introduction to Robotics: Mechanics and Control”, Pearson, 2018.

R4. Gonzalez, Fu Lee, Robotics: Control, Sensing, Vision and Intelligence, Wiley, 1998

R5. Mehta.B.R, Reddy.Y.J, “Industrial Process Automation Systems”, Elsevier, 2015

Evaluation Pattern

CIA Marks

50

ESE Marks

50

Exam Hours

3

RM335P - BASIC CONCEPTS OF MECHATRONICS AND PLC (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims at providing fundamental understanding about the basic elements of a mechatronics system, interfacing, and its practical applications.

Course Outcome

CO-1: Interpret the parameters of Transducers. (L2)

CO-2: Operate & infer the values of Torque measurement equipment. (L1)

CO-3: Interpret the readings of Cathode ray oscilloscope. (L2)

CO-4: Compute the strain from the strain gauge equipment. (L1)

CO-5: Explain the concept of PLC and HMI (L3)

Unit-1
Teaching Hours:9
Introduction
 

Introduction: Definition of Mechanical Systems, Philosophy and approach; Systems and Design: Mechatronic approach, Integrated Product Design, Modeling, Analysis and Simulation, Man-Machine Interface.

Unit-2
Teaching Hours:9
Sensors and transducers
 

Sensors and transducers: classification, Development in Transducer

technology, Opto- Electronics-Shaft encoders, CD Sensors, Vision System, etc.

Unit-3
Teaching Hours:9
Drives and Actuators
 

Drives and Actuators: Hydraulic and Pneumatic drives, Electrical Actuators such as servo motor and Stepper motor, Drive circuits, open and closed loop control; Embedded Systems: Hardware Structure, Software Design and Communication, Programmable Logic Devices, Automatic Control and Real Time Control System

Unit-4
Teaching Hours:9
Smart materials
 

Smart materials: Shape Memory Alloy, Piezoelectric and Magnetostrictive

Actuators: Materials, Static and dynamic characteristics, illustrative examples for  positioning, vibration isolation, etc.

Unit-5
Teaching Hours:9
Programmable Logic Controllers
 

Programmable Logic Controllers (PLC) based control system, programming languages & instruction set, ladder logic, functional blocks, structured text, and applications. Human Machine Interface (HMI) & Supervisory Control and Data Acquisition System (SCADA); motion controller, applications of RFID technology and machine vision. 

Text Books And Reference Books:

T1. Mechatronics System Design, Devdas Shetty & Richard A. Kolk, PWS Publishing

Company (Thomson Learning Inc.).

T2. Mechatronics: A Multidisciplinary Approach, William Bolton, Pearson Education

T3. A Textbook of Mechatronics, R.K. Rajput, S. Chand & Company Private Limited

T4. Mechatronics: Electronic Control Systems in Mechanical and Electrical Engineering,

William Bolton, Prentice Hall.

Essential Reading / Recommended Reading

R1. “MECHATRONICS”, Tata McGraw-Hill Publishing Company Ltd, New Delhi 2005, ISBN: 9780074636435.

R2. Bolton, , “MECHATRONICS”, New Delhi Pearson Education 2003, ISBN:8177582844.

R3. “MECHATRONICS: A FOUNDATION COURSE”, Baton Rouge: Taylor & Francis Group, 2010. ISBN:9781420082128

Evaluation Pattern

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

CY421 - CYBER SECURITY (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:0
Credits:0

Course Objectives/Course Description

 

This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security.  In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments

Course Outcome

CO1: Describe the basic security fundamentals and cyber laws and legalities.

CO2: Describe various cyber security vulnerabilities and threats such as virus, worms, online attacks, Dos and others.

CO3: Explain the regulations and acts to prevent cyber-attacks such as Risk assessment and security policy management.

CO4: Explain various vulnerability assessment and penetration testing tools.

CO5: Explain various protection methods to safeguard from cyber-attacks using technologies like cryptography and Intrusion prevention systems.

Unit-1
Teaching Hours:6
UNIT 1
 

Security Fundamentals-4 As Architecture Authentication Authorization Accountability, Social Media, Social Networking and Cyber Security.Cyber Laws, IT Act 2000-IT Act 2008-Laws for Cyber-Security, Comprehensive National Cyber-Security Initiative CNCI – Legalities

Unit-2
Teaching Hours:6
UNIT 2
 

Cyber Attack and Cyber Services Computer Virus – Computer Worms – Trojan horse.Vulnerabilities -  Phishing -  Online Attacks – Pharming - Phoarging  –  Cyber Attacks  -  Cyber Threats -  Zombie- stuxnet - Denial of Service Vulnerabilities  - Server Hardening-TCP/IP attack-SYN Flood

Unit-3
Teaching Hours:6
UNIT 3
 

Cyber Security Management Risk Management and Assessment - Risk Management Process - Threat Determination Process -Risk Assessment - Risk Management Lifecycle.Security Policy Management - Security Policies - Coverage Matrix Business Continuity Planning - DisasterTypes  -  Disaster Recovery Plan - Business Continuity Planning Process

Unit-4
Teaching Hours:6
UNIT 4
 

Vulnerability - Assessment and Tools: Vulnerability Testing - Penetration Testing Black box- white box.Architectural Integration:  Security Zones - Devicesviz Routers, Firewalls, DMZ. Configuration Management - Certification and Accreditation for Cyber-Security.

Unit-5
Teaching Hours:6
UNIT 5
 

Authentication and Cryptography: Authentication - Cryptosystems - Certificate Services, Securing Communications:  Securing Services -  Transport  –  Wireless  -  Steganography and NTFS Data Streams. Intrusion Detection and Prevention Systems:   Intrusion -  Defense in Depth  -  IDS/IPS  -IDS/IPS Weakness and Forensic AnalysisCyber Evolution: Cyber Organization – Cyber Future

Text Books And Reference Books:

R1. Matt Bishop, “Introduction to Computer Security”, Pearson, 6th impression, ISBN: 978-81-7758-425-7.

R2. Thomas R, Justin Peltier, John, “Information Security Fundamentals”, Auerbach Publications.

R3. AtulKahate, “Cryptography and Network Security”,  2nd Edition, Tata McGrawHill.2003

R4. Nina Godbole, SunitBelapure, “Cyber Security”, Wiley India 1st Edition 2011

R5. Jennifer L. Bayuk and Jason Healey and Paul Rohmeyer and Marcus Sachs, “Cyber Security Policy Guidebook”, Wiley; 1 edition , 2012

R6. Dan Shoemaker and Wm. Arthur Conklin, “Cyber security: The Essential Body Of Knowledge”,   Delmar Cengage Learning; 1 edition, 2011

R7. Stallings, “Cryptography & Network Security - Principles & Practice”, Prentice Hall, 6th Edition 2014

Essential Reading / Recommended Reading

--

Evaluation Pattern

Only CIA will be conducted as per the University norms. No ESE

Maximum Marks : 50

HS421 - PROFESSIONAL ETHICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This paper deals with the various organizational behaviours like learning, perception, motivation and method of managing stress and conflicts and the basic principles of communication.

Course Outcome

CO1: Understand the importance of Values and Ethics in their personal lives and professional careers. (L2)

CO2: Learn the rights and responsibilities as an employee, team member and a global citizen. (L2)

CO3: Estimate the impact of self and organization?s actions on the stakeholders and society. (L3)

CO4: Develop ethical behaviour under all situations. (L3)

CO5: Appreciate the significance of Intellectual Property as a very important driver of growth and development in today?s world and be able to statutorily acquire and use different types of intellectual property in their professional life. (L2)

Unit-1
Teaching Hours:6
Introduction to Professional Ethics
 

Definition, Nature, Scope- Moral Dilemmas- moral Autonomy-Kohlberg’s theory- Gilligan’s theory, Profession Persuasive, Definitions, Multiple motives, Models of professional goals. Moral Reasoning and Ethical theories – Professional Ideals and Virtues- Theories of Right Action, Self-interest, Customs and Regions- Use of Ethical Theories.

Unit-2
Teaching Hours:6
Engineering as Social Experimentation and Responsibility
 

For Safety Engineering as experimentation- Engineers as responsible experimenters, the challenger case, Codes of Ethics, A balanced outlook on the law. Concept of safety and risk, assessment of safety and risk- risk-benefit analysis and reducing the risk- three-mile island, Chernobyl and safe exists.

Unit-3
Teaching Hours:6
Global Issues and Introduction To Intellectual Property
 

Multinational corporations- Environmental ethics- Computer ethics and Weapons developments. Meaning and Types of Intellectual Property, Intellectual Property. Law Basics, Agencies responsible for intellectual property registration, International Organizations, Agencies and Treaties, Importance of Intellectual Property Rights.

Unit-4
Teaching Hours:6
Foundations of Trademarks
 

Meaning of Trademarks, Purpose and Functions of Trademarks, types of Marks, Acquisition of Trademark rights, Common Law rights, Categories of Marks, Trade names and Business Name, Protectable Matter, Exclusions from Trademark Protection. work process.

Unit-5
Teaching Hours:6
Foundations of Copyrights Laws and Patent Laws
 

Meaning of Copyrights, Common Law rights and Rights under the 1976 copyright Act, Recent developments of the Copyright Act, The United States Copyright Office. Meaning of Patent Law, Rights under Federal Law, United States patent and Trademark Office, Patentability, Design Patents, Plants patents, Double Patenting.

Text Books And Reference Books:

T1. Jayashree Suresh &B.S.Raghavan “Human values and Professional Ethics”, S. Chand, 2009.

T2.  Govindarajan, Natarajan and Senthilkumar “Engineering Ethics”, PHI:2009.

Essential Reading / Recommended Reading

R1.  Nagarajan “A Text Book on Professional Ethics and Human values”, New Age International, 2009.

R2.  Charles &Fleddermann “Engineering Ethics”, Pearson, 2009.

R3.  Rachana Singh Puri and Arvind Viswanathan, I.K.”Practical Approach to Intellectual Property rights”, International Publishing House, New Delhi. 2010.

R4.  A.B.Rao “Business Ethics and Professional Values”, Excel, 2009.

Evaluation Pattern

ASSESSMENT PATTERN FOR PROFESSIONAL ETHICS COURSE

 

 

Component

Assessed for

Scaled down to

1

CIA

50

25

2

ESE

50

25

 

 

TOTAL

50

MAHO431DMP - COMPUTER AIDED ENGINEERING (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course objectives: 

•To introduce the Industry experience to student in product design and developments.

•To know the stages involved in any product design and development.

•To develop the student’s skills to solve the problems facing while geometry modelling and FE modelling.

•To guide the students in selection of geometry for its validation for required application.

•To enhance the problem analysis knowledge in modelling and analysis.

•To improve the knowledge in identify the problem and selection of analysis method and hence to validate the output of CAE tools.

 

Course Outcome

CO1: Understand the possibilities of CAD modelling and analysis.

CO2: Apply geometrical modelling to create solid models and its boundary conditions

CO3: Apply the knowledge of static and dynamic analysis on solid models.

CO4: Apply the knowledge of loading and boundary conditions on part models.

CO5: Validate the results of FEA and apply error correction on solid models created.

Unit-1
Teaching Hours:9
INTRODUCTION:
 

CAD and Analysis tools. Geometry modelling, Finite Element Modelling, Selection of geometry, Selection of element types, Loads and Boundary conditions, Validation of results.                

Unit-2
Teaching Hours:9
Geometry Modelling
 

Modelling a point, line, surface and solids. Boolean operations, assembly of parts. Import and export of geometry. Introduction to GD&T. 

Unit-3
Teaching Hours:9
Finite Element Modelling:
 

Selection/disfeaturing of geometry for FE modelling, dividing surfaces and cutting of solids. Setting preferences. Element qualities and their standard values required for required analysis/results. Import and export of FEM files for analysis and results review.

Unit-4
Teaching Hours:9
Loads and boundary conditions:
 

Selection of nodes, surfaces. Local coordinate systems, assigning the coordinate system to nodes. Selection or estimation of loads in terms of point, surface and body loads. How to apply inertia loads.

Solution control and output requests: Defining required output parameters/results other than standard output results. Defining the solution parameters like, end time, timesteps, load steps, etc., 

Unit-5
Teaching Hours:9
Error rectification Verification/Validation of output results
 

Error rectification: Study on common type of errors while solving FE problems. Understanding the error types. How to address these errors.                 

 

Verification/Validation of output results: How to validate results from FEA. Steps involved in verification of results. Identifying reason for deviation in results as compared to calculated results through classical methods or lab test results. Modifying/simplifying the input data based on output results.

Text Books And Reference Books:

1. K L Narayana, P Kannaiah & K Venkata Reddy, “Machine Drawing” 5th edition, new

age International Publishers 2016.

2.  N.D.Bhat & V.M.Panchal, “A Primer on Computer Aided Machine Drawing-2007”,

VTU, Belgaum, ‘Machine Drawing', 2012.

 

Essential Reading / Recommended Reading

Reference Books:

R1. S. Trymbaka Murthy,”A Text Book of Computer Aided Machine Drawing”, CBS

Publishers, New Delhi, 2007

R2. K.R. Gopala Krishna, “Machine Drawing”, Subhash Publication, 2012.

R3. Goutam Pohit & Goutham Ghosh, “Machine Drawing with Auto CAD”,1st Indian print

Pearson Education, 2007

R4. Sham Tickoo, “Auto CAD 2015 for engineers and designers”, Dream tech 2015

R5. N. Siddeshwar, P. Kanniah, V.V.S. Sastri, “Machine Drawing”, published by Tata Mc

GrawHill,2006

R6. Alex Krulikowski, “Fundamentals of Geometric Dimension & Tolerancing”, 6th edition, Goodheart-Willcox Pub ,25 November 2014

 

Evaluation Pattern

SL no

Component

Assessment for

Scaled- down to

1

CIA-1

20 M

10 M

2

CIA-2

50 M

25 M

3

CIA-3

20 M

10 M

4

Attendance

05 M

05 M

5

ESE

100 M

50M

 

 

Total

100 M

MICSAI432 - DATA STRUCTURES AND ALGORITHMS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

To understand the basic concept of data structures for storage and retrieval of ordered or unordered data. Data structures include: arrays, linked lists, binary

trees, heaps, and hash tables.

Course Outcome

CO1: Explain the basic concepts of data structures and solve the time complexity of the algorithm

CO2: Experiment with various operations on Linear Data structures

CO3: Examine the Structures and Operations of Trees and Heaps Data Structures

CO4: Compare various given sorting techniques with respect to time complexity

CO5: Choose various shortest path algorithms to determine the minimum spanning path for the given graphs

Unit-1
Teaching Hours:8
INTRODUCTION
 

Definition- Classification of data structures: primitive and non-primitive-

Operations on data structures- Algorithm Analysis

Unit-2
Teaching Hours:11
LISTS, STACKS AND QUEUES
 

Abstract Data Type (ADT) – The List ADT – The Stack ADT: Definition,

Array representation of stack, Operations on stack: Infix, prefix and postfix

notations Conversion of an arithmetic

Expression from Infix to postfix. Applications of stacks.

The Queue ADT: Definition, Array representation of queue, Types of queue:

Simple queue, circular queue, double ended queue (de-queue) priority

queue, operations on all types of Queues

Unit-3
Teaching Hours:10
TREES
 

Preliminaries – Binary Trees – The Search Tree ADT – Binary Search Trees –

AVL Trees – Tree Traversals – Hashing – General Idea – Hash Function –

Separate Chaining – Open Addressing –Linear Probing – Priority Queues

(Heaps) – Model – Simple implementations – Binary Heap

Unit-4
Teaching Hours:8
SORTING
 

Preliminaries – Insertion Sort – Shell sort – Heap sort – Merge sort –

Quicksort – External Sorting

Unit-5
Teaching Hours:8
GRAPHS
 

Definitions – Topological Sort – Shortest-Path Algorithms – Unweighted

Shortest Paths – Dijkstra’s Algorithm – Minimum Spanning Tree – Prim’s

Algorithm – Applications of Depth- First Search – Undirected Graphs –

Bi-connectivity – Introduction to NP-Completeness-case study

Text Books And Reference Books:

Mark Allen Weiss, “Data Structures and Algorithm Analysis in Java”, 3rd Edition,

Pearson Education 2013.

Essential Reading / Recommended Reading

R1. Fundamentals of data structure in C by Ellis Horowitz, Sarataj Shani 3rd edition,

Galgotia book source PVT,2010.

R2.Classic Data Structures , Debasis Samanta ,2nd Edition, PHI Learning PVT,2011

Evaluation Pattern

CIA 1 20 MarKs

CIA 2 50 MarKs

CIA 3 20 MarKs

ESE 100 Marks

RM431P - EMBEDDED SYSTEMS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course, the students would be able to  

1.       To provide the overview of embedded system design principles

2.       To understand the concepts of real time operating systems

3.    To provide exposure to embedded system development tools with hands-on experience in using basic programming techniques.

Course Outcome

CO1: Explain the architecture, Instruction set and addressing modes of PIC and Motorola(68HC12) microcontroller (L2)

CO2: Summaries the concepts of embedded C programming (L3)

CO3: Explain the need of embedded systems and their development procedures. (L2)

CO4: Summaries the uses of embeded system in Automotive electronics.(L2)

CO5: Summaries the concepts involved in Real time operating systems. L2)

CO6: Conduct experiments with I/O systems used in embedded systems. (L4)

Unit-1
Teaching Hours:9
MICROCONTROLLERS
 

8051 microcontroller, PIC microcontroller- Architecture - Instruction set - Addressing modes - Timers - Interrupt logic - Introduction to  Motorola 68HC12 microcontroller.

Unit-2
Teaching Hours:9
EMBEDDED C PROGRAMMING
 

Interfacing of peripherals Using Microcontrollers, Introduction to embedded c programming, Embedded System design examples, Introduction of ARM subsystem design, Case study

Unit-3
Teaching Hours:9
EMBEDDED SYSTEM
 

Overview of embedded systems- embedded system design process- challenges - -Hardware and Software co design- Embedded Buses( CAN BUS - I2C - GSM - GPRS - Zig bee)- Case study

Unit-4
Teaching Hours:9
FUNDAMENTALS OF AUTOMOTIVE ELECTRONICS & SAFETY
 

Applications of Embedded Systems & Signal Data Processing in Automotive Electronics; Engine Management System; Dashboard Instruments; Driver Assistive Systems, Role of  Internet of Things (IOT), Case Study( Control of Airbags, Seat Belts etc.)

Unit-5
Teaching Hours:9
REAL TIME OPERATING SYSTEM
 

Real time operating systems Architecture - Tasks and Data - Semaphore and shared data - Message queues, mail boxes and pipes - Encapsulating semaphores and queues - interrupt routines in an RTOS Environment. Introduction to Vx works, RT Linux. Case study

Text Books And Reference Books:

T1. Frank Vahid, Tony John Givargis, Embedded System Design: A Unified Hardware/ Software Introduction - Wiley & Sons, Inc. 2002 .

T2. Rajkamal, ‘Embedded System – Architecture, Programming, Design’, Tata Mc Graw Hill, 2011

T3. John B. Peatman, “Design with PIC Microcontrollers” Prentice Hall, 2003.

T4: Danny Causey, Muhammad Ali Mazidi, and Rolin D. McKinlay”PIC Microcontroller and Embedded Systems: Using Assembly and C for PIC18”

T5: H. P. Garg, Maintenance Engineering, S. Chand and Company.

Essential Reading / Recommended Reading

R1. Steve Heath, ‘Embedded System Design’, II edition, Elsevier, 2003.

R2. David E. Simon, “An embedded software primer”, Addison – Wesley, Indian Edition Reprint

(2009).

R3. Robert Foludi “Building Wireless Sensor Networks”, O’Reilly, 2011.

R4. Marwedel, Peter, “EMBEDDED SYSTEM DESIGN”, London Springer International 2003, ISBN:9788181284334

R5: Higgins & Morrow, Maintenance Engineering Handbook, Da Information Services.

Evaluation Pattern

COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

RM432P - SOLID AND FLUID MECHANICS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course the students should be able to appreciate the basic principles and understand the function of various type of pumps and machineries and flow of liquid through pipes. Basics of Engineering elements like springs and beams must have bean made clear so that they will be able to design them.

Course Outcome

  1. Describe the fundamental concepts of equilibrium, stress, strain and deformation of solids. (L2)
  2. Discusses the bending of beams and torsion. (L2)
  3. Defines the fluid concepts, properties, statics and kinematics. (L2)
  4. Explain and calculate the fluid dynamics and in-compressible fluid flow. (L2)
  5. Defines and discusses the hydraulic turbines and pumps. (L2) 

Unit-1
Teaching Hours:9
Equilibrium, Stress, Strain And Deformation Of Solids
 

Stability and equilibrium of plane frames – perfect frames – types of trusses – analysis of forces in truss members – method of joints - Rigid bodies and deformable solids – Tension, Compression and sheer stresses – Deformation of simple and compound bars – Elastic constants – stresses at a point stresses on inclined planes – principal stresses and principal planes.

Unit-2
Teaching Hours:9
Bending Of Beams And Torsion
 

Beams – Types and transverse loading on beams – shear force and bending moment in beams – Cantilevers – Simply supported beams and over-hanging beams. Theory of simple bending – Analysis of stresses – load carrying capacity – Proportioning sections – leaf springs – Shear stress distribution. Stresses and deformation in circular and hollow shafts – stresses in helical springs – Deflection of springs

Unit-3
Teaching Hours:9
Fluid Concepts, Properties, Statics And Kinematics
 

Fluid – definition, real and ideal fluids - Distinction between solid and fluid - Units and dimensions - Properties of fluids - density, specific weight, specific volume, specific gravity, viscosity, capillary and surface tension, compressibility and vapour pressure – Temperature influence on fluid properties - Fluid statics – hydrostablic pressure concept and distribution on plane surfaces – Absolute and gauge pressures – pressure measurements by manometers and pressure gauges.

Fluid Kinematics - Flow visualization - types of flow – lines of flow - velocity field and acceleration.

Unit-4
Teaching Hours:9
Fluid Dynamics And Incompressible Fluid Flow
 

Fluid dynamics – Euler’s equation of motion – Euler’s equation of motion along a streamline – Bernoulli equation and its application – Venturi, orifice and flow nozzle meters – pitot tube – notches and weirs – Rectangular, Triangular and trapezoidal wears.

Fluid flow - flow through pipes - Darcy -weisbach equation - friction factor – major and minor losses – Hydraulic and energy gradients – Flow thorough pipes in series and in parallel – Equivalent pipes.

Unit-5
Teaching Hours:9
Hydraulic Turbines And Pumps
 

Hydro turbines - definition, types and classifications – Pelton, Francis and Kaplan turbines - velocity triangles – and simple applications - work done - specific speed – efficiency.

Pumps - definition and classifications - Centrifugal pumps - classifications, and working principle - velocity triangles, work done – specific speed – Efficiency.

Reciprocating pump – working principle and classification - indicator diagram - Air vessels - cavitations in pumps                                             

Text Books And Reference Books:

T1. Junarkar S.B, ‘Mechanics of Structures’, Vol. 1, 21ST edition, Charotar Publishing House, Anand, India, 1995.

T2. Kazimi S.M.A., ‘Solid Mechanics’, Tata McGraw Hill Publishing Company, New Delhi, 1981.

T3. Kumar, K.L., "Engineering Fluid Mechanics", Eurasia Publishing House (P) Ltd, New Delhi (7th edition), 1995.

T4. Bansal, R.K.,"Fluid Mechanics and Hydraulics Machines", (5th edition), Laxmi publications (P) Ltd, New Delhi, 1995

Essential Reading / Recommended Reading

R1. William A.Nash, Theory and problems of strength of materials, Schaum’s Outline Series, McGraw-Hill International Editions, Third Edition, 1994

R2. Streeter, V.L., and Wylie, E.B.,"Fluid Mechanics", McGraw-Hill, 1983.

R3. White, F.M.,"Fluid Mechanics", Tata McGraw-Hill, 5th Edition, New Delhi, 2003.

R4. Som, S.K., and Biswas, G.,"Introduction to Fluid Mechanics and Fluid Machines", Tata McGraw-Hill, 2nd Edition, 2004.

R5. Bhavikatti, S S, Kothandaraman, C P, “SOLID AND FLUID MECHANICS”, New Delhi New Age Internations (P) Ltd 2009.

R6. Bullett, Shaun, “FLUID AND SOLID MECHANICS: LTCC ADVANCE MATHEMATICS SERIES - VOLUME 2”, London; World Scientific, 2016.

R7. Hariri Asli, Kaveh, “HANDBOOK OF RESEARCH FOR FLUID AND SOLID MECHANICS: THEORY, SIMULATION, AND EXPERIMENT”, New York: CRC Press, 2018.

R8. Barenblatt, G. I. Barenblatt G.I, “FLOW, DEFORMATION AND FRACTURE: LECTURES ON FLUID MECHANICS AND THE MECHANICS OF DEFORMABLE SOLIDS FOR MATHEMATICIANS AND PHYSICISTS”, New York: Cambridge University Press, 2014.

Evaluation Pattern

COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

RM433 - KINEMATICS AND THEORY OF MACHINES (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

1. To understand the kinematics and rigid-body dynamics of kinematically driven machine components.

2. To understand the motion of linked mechanisms in terms of the displacement, velocity and acceleration at any point in a rigid link.

3. To be able to design some linkage mechanisms and cam systems to generate specified output motion.

4. To understand the kinematics of gear trains.

 

Course Outcome

CO-1: Summarize the fundamentals of kinematics and Planar mechanisms.

CO-2: Analyse velocity and acceleration parameters in various four-bar mechanisms using the instantaneous centre method and relative velocity method.

CO-3: Develop the displacement diagram for a required output and design cam profiles for inline and offset followers.

CO-4: Explain the fundamentals of gear profiles and extrapolate various parameters of Spur gear teeth.

CO-5: Design gear trains for power transmission.

Unit-1
Teaching Hours:9
Classification of mechanisms
 

Classification of mechanisms- Basic kinematic concepts and definitions- Degree of freedom, mobility- Grashoff’s law, Kinematic inversions of four bar chain and slider crank chains-Limit positions- Mechanical advantage- Transmission angle- Description of some common mechanisms- Quick return mechanism, straight line generators- Universal Joint- Rocker mechanisms

Unit-2
Teaching Hours:9
Velocity and acceleration
 

Displacement, velocity and acceleration analysis of simple mechanisms, graphical velocity analysis using instantaneous centers, velocity and acceleration analysis using loop closure equations- kinematic analysis of simple mechanisms- slider crank mechanism dynamics- Coincident points- Coriolis component of acceleration- introduction to linkage synthesis-three position graphical synthesis for motion and path generation

Unit-3
Teaching Hours:9
CAMS
 

Classification of cams and followers- Terminology and definitions- Displacement diagrams-Uniform velocity, parabolic, simple harmonic and cycloidal motions- derivatives of follower motions- specified contour cams- circular and tangent cams- pressure angle and undercutting, sizing of cams, graphical and analytical disc cam profile synthesis for roller and flat face followers

Unit-4
Teaching Hours:9
Gears
 

Involute and cycloidal gear profiles, gear parameters, fundamental law of gearing and conjugate action, spur gear contact ratio and interference/undercutting- helical, bevel, worm, rack & pinion gears, epicyclic and regular gear train kinematics

Unit-5
Teaching Hours:9
Friction
 

Surface contacts- sliding and rolling friction- friction drives- bearings and lubrication-friction clutches- belt and rope drives- friction in brakes 

Text Books And Reference Books:

T1. Ghosh A. and Mallick A.K., Theory of Mechanisms and Machines, Affiliated East-West Pvt. Ltd, New Delhi, 1988.

T2. Ratan.S.S, “Theory of Machines”, 4th Edition, Tata McGraw Hill Publishing company Ltd. 2014.

Essential Reading / Recommended Reading

R1. Thomas Bevan, Theory of Machines, 3rd edition, CBS Publishers & Distributors, 2005.

R2. CleghornW.L. , Mechanisms of Machines, Oxford University Press, 2005.

R3. Robert L. Norton, Kinematics and Dynamics of Machinery, Tata McGrawHill, 2009.

 

Online Resources

W1. https://nptel.ac.in/courses/112104121/

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

RM434P - FUNDAMENTALS OF PYTHON PROGRAMMING (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course, the students would be able to  

  1. Understand the important libraries of Python, and its recommended programming styles and

idioms.

  1. Learn core Python scripting elements such as variables and flow control structures.
  2. Develop applications using Python for robotics.

Course Outcome

CO-1: To discuss the structure and components of a Python program. (L2)

CO-2: To explain loops and decision statements in Python. (L2)

CO-3: To illustrate class inheritance in Python for reusability (L2)

CO-4: To select lists, tuples, and dictionaries in Python programs. (L3)

CO-5: To assess object‐oriented programs with Python classes. (L3)

CO-6: To develop simple code for robotics applications. (L4)

Unit-1
Teaching Hours:9
Introduction to Python, Data Types, Expressions
 

Introduction to Python Programming – Running

Code in the Interactive Shell, Input, Processing and Output, Editing, Saving and Running a Script -Data Types, String Literals, Escape Sequences, String Concatenation, Variables and the Assignment Statement - Numeric Data Types Module, The Main Module, Program Format and Structure and Running a Script from a Terminal Command Prompt

Unit-2
Teaching Hours:9
Loops and Expressions
 

Iteration - for loop - Selection - Boolean Type, Comparisons, and Boolean Expressions, if-else Statements, One-Way Selection Statements, Multi-way if Statements, Logical Operators and Compound Boolean Expressions, Short-Circuit Evaluation and Testing Selection Statements - Conditional Iteration - while loop

Unit-3
Teaching Hours:9
Strings and Text Files
 

Strings - Accessing Characters and Substrings in Strings, Data Encryption, Strings and Number Systems and String Methods - Text Files - Text Files and Their Format, Writing

Text to a File, Writing Numbers to a File, Reading Text from a File, Reading Numbers from a File and Accessing and Manipulating Files and Directories on Disk

Unit-4
Teaching Hours:9
Lists and Dictionaries
 

Lists - List Literals and Basic Operators, Replacing an Element in a List, List Methods for Inserting and Removing Elements, Searching and Sorting a List, Mutator Methods and the Value None, Aliasing and Side Effects, Equality and Tuples - Defining Simple Functions - Syntax, Parameters and Arguments, return Statement, Boolean Functions and main function, Dictionaries – Dictionary Literals, Adding Keys and Replacing Values, Accessing Values, Removing Keys and Traversing a Dictionary.

Unit-5
Teaching Hours:9
Design with Functions and Design with Classes
 

Design with Functions - Functions as Abstraction Mechanisms, Problem Solving with Top-Down Design, Design with Recursive Functions and Managing a Program’s Namespace –

Design with Classes- Objects and Classes, Data Modellling and Structuring Classes with Inheritance and Polymorphism.

Case studies: Object sensing and detection - Pick and Place Robot – Path planning – Unmanned vehicle - Control Robots - Joints and Degrees of Freedom.

Text Books And Reference Books:
  1. Paul Barry, Head First Python 2e, O′Reilly, 2nd Revised edition, 2016, ISBN-13: 978-1491919538.
  2. Kenneth A. Lambert, Martin Osborne, Fundamentals of Python: From First Programs Through Data Structures, Course Technology, Cengage Learning, 2010, ISBN-13: 978-1-4239-0218-8..
Essential Reading / Recommended Reading
  1. Zed A. Shaw, Learn Python The Hard Way, Addison-Wesley, Third Edition, 2014, ISBN-13:

978-0-321-88491-6.

  1. Dave Kuhlman, A Python Book: Beginning Python, Advanced Python, and Python Exercises,

2013, ISBN: 9780984221233.

  1. 3. Kent D Lee, Python Programming Fundamentals, Springer-Verlag London Limited, 2011, ISBN 978-1-84996-536-1.
  2. Diwakar Vaish, Python Robotics Projects, Packtpub, 2018, ISBN 978-1-78883-292-2
  3. Nicholas H.Tollervey, Programming with MicroPython- Embedded Programming with Micrcontrollers& Python, O’Reilly, 2018.
Evaluation Pattern

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

RM435 - MOBILE ROBOTICS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Mobile robots are now enabling human beings to physically reach and explore unchartered territories in the Universe. Be a place as distant as Mars, in abysmal depths of ocean, or shrouded by thick glaciers of Antarctic, mobile robots help exploring everything; yet this is just the beginning. Even in day to day life autonomous cars hold a potential to revolutionize transportation and domestic mobile robots help humans in cleaning, elderly help, etc. National defence is an area replete with the use of mobile robots. This course will present various aspects of design, fabrication, motion planning, and control of intelligent mobile robotic systems. The focus of the course is distributed equally on the computational aspects and practical implementation issues and thereby leads to a well-rounded training. The course will give students an opportunity to design and fabricate a mobile robotic platform and program it to apply learned theoretical concepts in practice as a semester long class project.

Course Outcome

CO-1: To understand the concept of robot locomotion. (L2)

CO-2: To analyze the mobile robot kinematics and dynamics. (L4)

CO-3: To understand concept of perception in mobile robotics. (L2)

CO-4: To analyze, design and implement the localization concept in mobile robotics. (L4)

CO-5: To apply the fundamental knowledge of planning and navigation in mobile robotics applications. (L3)

Unit-1
Teaching Hours:9
Robot locomotion
 

Robot locomotion: Types of locomotion, hopping robots, legged robots, wheeled robots, stability, maneuverability, controllability.

Unit-2
Teaching Hours:9
Mobile robot kinematics and dynamics
 

Mobile robot kinematics and dynamics: Forward and inverse kinematics, holonomic and nonholonomic constraints, kinematic models of simple car and legged robots, dynamics simulation of mobile robots, mobile robot actuators

Unit-3
Teaching Hours:9
Perception
 

Perception: Proprioceptive/Exteroceptive and passive/active sensors, performance measures of sensors, sensors for mobile robots like global positioning system (GPS), Doppler effect-based sensors, vision based sensors, uncertainty in sensing, filtering.

Unit-4
Teaching Hours:9
Localization
 

Localization: Odometric position estimation, belief representation, probabilistic mapping, Markov localization, Bayesian localization, Kalman localization, positioning beacon systems.

Unit-5
Teaching Hours:9
Introduction to planning and navigation
 

Introduction to planning and navigation: path planning algorithms based on A-star, Dijkstra, Voronoi diagrams, probabilistic roadmaps (PRM), rapidly exploring random trees (RRT), Markov Decision Processes (MDP), stochastic dynamic programming (SDP), Mobile robot applications

Text Books And Reference Books:

T1. R. Siegwart, I. R. Nourbakhsh, “Introduction to Autonomous Mobile Robots”, The MIT Press, 2011.

T2. Peter Corke , Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer Tracts in Advanced Robotics, 2011.

T3. S. M. LaValle, “Planning Algorithms”, Cambridge University Press, 2006. (Available online

http://planning.cs.uiuc.edu/)

T4. Thrun, S., Burgard,W., and Fox, D., Probabilistic Robotics. MIT Press, Cambridge, MA, 2005.

Essential Reading / Recommended Reading

R1. Melgar, E. R., Diez, C. C., Arduino and Kinect Projects: Design, Build, Blow Their Minds, 2012.

R2. H. Choset, K. M. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L. E. Kavraki, and S. Thrun, Principles of Robot Motion: Theory, Algorithms and Implementations, PHI Ltd., 2005

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

AU544E8 - FINITE ELEMENT ANALYSIS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Finite element method {FEM} is a numerical technique for finding approximate solutions to boundary value problems for partial differential equations.Itusessubdivisionofawholeproblemdomainintosimplerparts,called finiteelements,andvariationalmethodsfromthecalculusofvariationstosolvethe problem by minimizing an associated error function. Analogous to the idea that connecting many tiny straight lines can approximate a larger circle, FEM encompasses methods for connecting many simple element equations over many smallsubdomains,namedfiniteelements,toapproximateamorecomplexequation

 

Course Outcome

CO1: Comprehend the concept of FEM in Engineering Applications {L1}

CO2: Determine the deflection/deformation of beam & bar by using RR method & Galeriken method

CO3: Determine the stress developed in bar by using elimination and penalty method

CO4: Determine the deformation &stresses in trusses by using elimination method

CO5: Determining the temperature distribution of a thin film by using conduction & convection principle

Unit-1
Teaching Hours:9
Historical Background
 

Historical Background, Mathematical modeling of field problems in engineering, governing equations, discrete and continuous models, boundary and initial value problems, Weighted Residual Methods, Variationalformulationofboundaryvalueproblems,Ritztechnique,

Basicconcept of Finite Element Method

Unit-2
Teaching Hours:9
One Dimensional Element
 

One dimensional second order equation, discretization, linear and higher order elements, derivation of shape functions, Stiffness matrix andforce vectors, assemblyof elementalmatrices,solutionofproblems

fromsolidmechanics,fourthorder beam equation

Unit-3
Teaching Hours:9
Two Dimensional Element
 

Two dimensional equations, variational formulation, finite element formulation, triangular elements- shape functions, elemental matrices and RHS vectors; application to thermal problems, torsion of non- circular shafts, quadrilateral and higher order elements. Plane stresses andplanestrainproblems,bodyforcesandthermalloads,plateand

shell elements.

Unit-4
Teaching Hours:9
Coordinate system
 

Natural coordinate systems, isoparametric elements and shape functions, numerical integration and application to plane stress problems, matrix solution techniques, solution of dynamic problems

Unit-5
Teaching Hours:9
Longitudinal Vibration
 

Longitudinalvibrationandmodeshapes,transversedeflectionsand natural frequencies and problems related to topic

Text Books And Reference Books:

R1. U.S. Dixit, “Finite Element Methods for Engineers”, Cengage Learning, 2009. R2.R.D.CookD.SMaltus,M.EPlesha,R.J.Witt,“Conceptsandapplicationsof Finite Element Analysis”, 4th edition, Wiley, 2009.

R3.Daryl.L.Logon,“FirstCourseinFiniteElementMethods”,5thedition,Cengage

Learning,2012.

Essential Reading / Recommended Reading

T1. J.N.Reddy, “An Introduction to the Finite Element Method”,3rd Edition, McGraw -Hill Pulication, 2006.Seshu P., Text Book of Finite Element Analysis, Prentice Hall, New Delhi, 2007.

T2. S.S. Rao, “Finite Element Method in Engineering”, 5th Edition, Elsevier, 2011. T3.  T.R.Chandrupatla,  A.D  Belegund,  “Introduction  to  Finite  Elements  in

Engineering”,3rd edition, PHI, 2002.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

CEOE531 - SOLID WASTE MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Objective of this paper is to provide managing solid wastes. It is designed as a source of information on solid waste management, including the Principles of Solid waste management, Processing and Treatment, Final disposal, Recycle and Reuse.

Course Outcome

CO1: Identify characteristics and Functional elements of solid waste management (L2, L3)

CO2: Develop different methods of solid waste collection and transportation systems. (L2, L3)

CO3: Explain different solid waste treatment and processing techniques. (L2)

CO4: Explain sanitary landfill and different composting techniques. (L2)

CO5: Understand the different disposal methods, significance of recycling, reuse and reclamation of solid wastes. (L2)

Unit-1
Teaching Hours:9
Introduction
 

Definition, Land Pollution – scope and importance of solid waste management, functional elements of solid waste management

Unit-1
Teaching Hours:9
Sources
 

Classification and characteristics – municipal, commercial and industrial. Methods of quantification

Unit-2
Teaching Hours:9
Collection and Transportation
 

Systems of collection, collection equipment, garbage chutes, transfer stations – bailing and compacting, route optimization techniques and problems.

Unit-3
Teaching Hours:9
TREATMENT/PROCESSING TECHNIQUES
 

Components separation, volume reduction, size reduction, chemical reduction and biological processing problems.

Unit-3
Teaching Hours:9
INCINERATION
 

Process – 3 T’s, factors affecting incineration process, incinerators – types, prevention of air pollution, pyrolsis, design criteria for incineration.

Unit-4
Teaching Hours:9
COMPOSTING
 

Aerobic and anaerobic composting, factors affecting composting, Indore and Bangalore processes, mechanical and semi mechanical composting processes. Vermi composting

Unit-4
Teaching Hours:9
SANITARY LAND FILLING
 

Different types, trench area, Ramp and pit method, site selection, basic steps involved, cell design, prevention of site  pollution, leachate and gas collection and control methods, geo-synthetic fabricsin sanitary landfills.

Unit-5
Teaching Hours:9
RECYCLE AND REUSE
 

Material and energy recovery operations, reuse in other industries, plastic wastes, environmental significance and reuse.

Unit-5
Teaching Hours:9
DISPOSAL METHODS
 

Open dumping – selection of site, ocean disposal, feeding to hogs, incineration, pyrolsis, composting, sanitary land filling,  merits and demerits, biomedical wastes and disposal

Text Books And Reference Books:

Bhide and Sunderashan “Solid Waste Management in developing countries”,

Tchobanoglous “Integrated Solid Waste Management”,Mc Graw Hill.

Essential Reading / Recommended Reading

Peavy and Tchobanoglous“Environmental Engineering”,

Garg S K “Environmental Engineering”, Vol II

“Biomedical waste handling rules – 2000”.

Pavoni J.L. “Hand book on Solid Waste Disposal”

Evaluation Pattern

Sl No.

Evaluation Component

Module

Duration

(min)

Nature of Component

Validation

1

CIA I

Quiz, assignment, & test

------

Closed Book/ Open book

Written test

2

CIA II

MSE

120

Closed Book

MSE

3

CIA  III

        Quiz,           assignment,& test

-----

Closed Book/ Open book

Written test

4

Semester Exam

ESE

180

Closed Book

ESE

CEOE532 - DISASTER MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

Course would help to understand the scope and relevance of Multi Disciplinary approach in Disaster Management in a dynamic  world and to realize the responsibilities of individuals and institutions for effective disaster response and disaster risk reduction

 

Course Outcome

CO-1: Explain Hazards and Disasters (L2, PO 4)

CO-2: Assess managerial aspects of Disaster Management, plan and explain risk analysis (L3, PO5)

CO-3: Relate Disasters and Development (L4, PO7)

CO-4: Compare climate change impacts and develop scenarios (L5, PO6)

CO-5: Categorize policies and institutional mechanisms in Disaster Management and the impacts on society (L5, PO7)

Unit-1
Teaching Hours:8
Introduction to Hazard and Disasters
 

 Principles of Disaster Management, Hazards, Risks and Vulnerabilities;  Natural Disasters (Indicative list: Earthquake, Floods, Fire, Landslides, Tornado, Cyclones, Tsunamis, Human Induced Disasters (e.g  Nuclear, Chemical, Terrorism. Assessment of Disaster Vulnerability of a location and vulnerable groups; Pandemics

 

Unit-2
Teaching Hours:8
Disaster Management Cycle and Humanitarian Logistics
 

Prevention, Preparedness and Mitigation measures for various Disasters, Post Disaster Relief & Logistics Management, Emergency Support Functions and their coordination mechanism, Resource & Material Management, Management of Relief Camp, Information systems & decision making tools, Voluntary Agencies & Community Participation at various stages of disaster, management.

 

Unit-3
Teaching Hours:8
Natural resources and Energy sources
 

 

Renewable and non-renewable resources, Role of individual in conservation of natural resources for sustainable life styles. Use and over exploitation of Forest resources. Use and over exploitation of surface and ground water resources, Conflicts over water, Dams- benefits and problems.

Unit-4
Teaching Hours:10
Global Environmental Issues
 

 

Global Environmental crisis, Current global environment issues, Global Warming, Greenhouse Effect, role of Carbon Dioxide and Methane, Ozone Problem, CFCs and Alternatives, Causes of Climate Change Energy Use: past, present and future, Role of Engineers.

 

Unit-5
Teaching Hours:11
Disaster Risk Reduction and Development
 

Disaster Risk Reduction and Institutional Mechanisms Meteorological observatory – Seismological observatory - Volcanology institution - Hydrology Laboratory; National Disaster Management Authority (India); Disaster Policies of Foreign countries.

Integration of public policy: Incident Command System; National Disaster Management Plans and Policies; Planning and design of infrastructure for disaster management, Community based approach in disaster management, methods for effective dissemination of information, ecological and sustainable development models for disaster management.

Technical Tolls for Disaster Management: Monitoring,  Management program for disaster mitigation ;  Geographical Information System(GIS) ; Role of Social Media in Disaster Management

Text Books And Reference Books:

 

T1. Paul, B.K, “Environmental Hazards and Disasters: Contexts, Perspectives and Management”, Wiley-Blackwell, 2011. (Unit 1 – Chapter 1; Unit 2 – Chapter 1, 3; Unit 3 – Chapter 4; Unit 4 – Chapter 5 & 6)

T2. Keller, Edward, and Duane DeVecchio. “Natural hazards: earth's processes as hazards, disasters, and catastrophe”s. Pearson Higher Education AU, 2015. (Unit 5 – Chapter 6 & 7)

Essential Reading / Recommended Reading

R1.  Coppola, D, “Introduction to International Disaster Management “Elsevier, 2015.

 

R2. Fookes, Peter G., E. Mark Lee, and James S. Griffiths. "Engineering geomorphology: theory and practice." Whittles Publications, 2007.

 

R3. Tomasini, R. And Wassanhove, L.V (2009). Humanitarian Logistics. Pangrave Macmillan.

Evaluation Pattern

Ser No

Evaluation Component

Module

Duration (Mins)

Nature Of Component

Weightage Of Module

Validation

1

CIA I

Assignment

Quizes

 

Open Book

Assignment 50%  Quiz 30% Class participation 20% 100%

 

2

CIA II

MSE

120

CLOSED BOOK

 

 

3

CIA III

Assignment

 

Research Oriented

 

 

4

SEMESTER EXAM

ESE

180

CLOSED BOOK

 

Written Test

CH536OE1 - ELECTRONIC MATERIALS AND ITS FABRICATION (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

1) Discuss the students on advanced concepts of Electrical Conduction, Modern Theory of Solids, and fundamental properties of Semiconductors.

i)  Students will learn (a) the principle, construction, and operation of basic Semiconductor Devices such as Light Emitting Diodes (LEDs), Solar Cells, and transistors.

ii) It describes the opportunities to learn (a) advanced concepts governing electronic materials properties of inorganic conductors, semiconductors and insulators and (b) how these electronic materials can be combined in wide range of device applications from transistors to energy conversion.

iii) To illustrate the current state-of-the-art by reference to journal articles and to examples of actual devices and production processes in use today.

Course Outcome

CO1: Explain the fundamentals of quantum mechanics to learn the construction and working of electronic devices.

CO2: Outline the relevant points pertaining to electrical and thermal conduction in solids

CO3: Outline the fundamentals and advanced concepts of semiconductors and other related terms which are indispensable to fabricate electronic devices.

CO4: Explain the materials aspects and fabrication procedures of semiconducting materials

CO5: Analyze the semiconductor characteristics and materials aspects to design and develop electronic devices

Unit-1
Teaching Hours:5
Basic concepts of quantum mechanics:
 

Differences between classical and quantum mechanics, Postulates of quantum mechanics and the concept of wave function, Details of wave particle duality, Schrodinger equation

Unit-2
Teaching Hours:10
Electrical and Thermal conductivity in solids
 

Elementary Concepts and Electrical Conduction, Electrical and thermal conductivity in solids ;Classical theory: The Drude model (Dependance of

current density, drift velocity and electric field), Temperature dependance of resistivity, Hall effect and Hall devices, Thermal conductivity in solids

(Fourier, s law and Weidemann-Franz-Lorenz law) , Thin films and sheet resistance, Polycrystalline films and Grain boundary scattering (Mayadas-

Shatzkes Formula), Density of states and maximum probable distributions, Fermi Dirac and Maxwell-boltzmann distribution laws.

Unit-3
Teaching Hours:10
Semiconductors:
 

Basics of semiconductors, Intrinsic and Extrinsic semiconductors, Band diagram at absolute zero, Relationship between conductivity and drift mobilities, Degenerate and non-degenerate semiconductors, Recombination of carriers (Direct and indirect) and minority carrier injection, Density of states in semiconductors, Determination of elctron and hole concentrations (Fermi level), Schottky Junctions and Ohmic Contacts.

Unit-4
Teaching Hours:10
Semiconductor manufacturing and film deposition techniques:
 

Overview of semiconductor manufacturing and silicon wafer production, Thin films depositions, Diffusion and ion implantation, Oxidation, Plasma processing Lithography, Spray pyrolysis and Spin coating.

Unit-5
Teaching Hours:10
Semiconductor based devices:
 

Basics of p-n junction (Calculation of barrier potential, depletion width and electric filed), Band diagram of p-n junction, Band digram under forward and reverse bias conditions, Law of the junction, Light Emitting Diodes (LEDs), Photovoltaics, Bipolar and Metal-Oxide-Semiconductor Field Effect Transistors (MOSFET), Transparent Conducting electrodes.

Text Books And Reference Books:

R1. Principles of Electronic Materials and Devices , Third Edition by S.O.Kasap, ISBN: 0-07-295791-3

R2. Electronic Properties of Materials, by Rolf E. Hummel (3 rd Edition, Springer, New York, 2000)

R3. Microchip Manufacturing, by S. Wolf, ISBN: 0-9616721-8-8

 

Essential Reading / Recommended Reading

R1. Electronic Materials and Devices, David K. Ferry and Jonathan Bird, Academic Press, San Diego, 2001.

R2. Advanced Semiconductor Fundamentals (2 nd Edition), Robert F. Pierret, Prentice Hall, 2003.

Evaluation Pattern

Sl No

CIA Component

Unit(s) Covered

CO

RBT Level

1

CIA1

Closed Book Test

1,2

CO-1,CO-2

L2

2

CIA 2(MID SEMESTER EXAMINATION)

1,2 & 1/2 of Unit 3

CO-1,2,3

L2

3

CIA3

Assignment

4,5

CO-4,5

L2, L4

CIA 1 COMPONENT 1 – CLOSED BOOK TEST

 A closed book descriptive test will be conducted after completion of Unit 1 and unit 2

 Question paper contains four theory questions and each carries 5 marks

 Maximum Marks : 20

 Time : 45 Minutes

 Tentative date :

 Venue :Theory Classrooms/LMS Upload( Students can upload the answers in LMS/ Google Classroom)

Marks Distribution Theory Questions

 Definition – 1 marks

 Principle – 2 marks

 Explanation with all relevant point (chemical equation, formulas diagrams graphs )- 2 marks

Marks Distribution Numerical Questions

 Equation with explanation for notations – 1.5 marks

 Substitution of values in the required formula– 0.5 marks

 Problem solving with final answer – 2 marks

 Unit for final value- 1 marks

CIA 3 COMPONENT 1 – Assignment

 Assignment will be given based on 4 th and 5 th units.

 Students will be asked to submit the assignment multiple times to get better clarity on the

electronic materials and device fabrications concepts.

 The marks will be warded based on the content, conceptual clarity and way of presentation of

the contents.

 Maximum Marks : 20

 Venue : LMS Upload( Students can upload the assignment in LMS/ Google Classroom)

IC521 - CONSTITUTION OF INDIA (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:0

Course Objectives/Course Description

 

This course is aimed to create awareness on the rights and responsibilities as a citizen of India and to understand the administrative structure, legal system in India.

Course Outcome

CO1: Explain the fundamental rights granted to citizens of India as per the Constitution

CO2: Describe the Directive Principles of State Policy along with its key aspects

CO3: Explain the legislative powers of Union Government and its elected legislature

CO4: Understand the Indian judiciary with respect to civil and criminal aspects

CO5: Explain the working of state government and its electoral powers

Unit-1
Teaching Hours:6
Making of the Constitution and Fundamental Rights
 

Introduction to the constitution of India, the preamble of the constitution, Justice,  Liberty, equality, Fraternity, basic postulates of the preamble

Right to equality, Right to freedom, Right against exploitation, Right to freedom of religion, Cultural and educational rights, Right to constitutional remedies 

 

Unit-2
Teaching Hours:6
Directive Principles of State Policy and Fundamental Duties
 

Directive Principles of State Policy, key aspects envisaged through the directive principles, Article 51A and  main duties of a citizen in India

Unit-3
Teaching Hours:6
Union Government and Union Legislature
 

the president of India, the vice president of India, election method, term, removal, executive and legislative powers, prime minister and council of ministers, election, powers, parliament, the Upper House and the Lower House, composition, function

Unit-4
Teaching Hours:6
Indian Judiciary
 

Supreme court, high courts, hierarchy, jurisdiction, civil and criminal cases, judicial activism 

Unit-5
Teaching Hours:6
State Government and Elections in India
 

State executive, governor, powers , legislative council and assembly, composition, powers, electoral process, election commission, emergency

Text Books And Reference Books:

R1. B R Ambedkar, ‘The Constitution of India’. Government of India

R2. Durga Das Basu, Introduction to the Constitution of India, LexisNexis, 24th edition

Essential Reading / Recommended Reading

-

Evaluation Pattern

As per university norms

MA536OE6 - APPLIED STATISTICS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:50
Credits:2

Course Objectives/Course Description

 

To enable the students to describe the fundamentals of statistics, estimate best fit curve, correlation and regression through data analysis, develop a deep understanding of axioms, random variables and probability functions, test the hypothesis for small and large samples by various statistical tools.

Course Outcome

CO1: Determine the mean, median, mode and expectation by using the fundamentals of statistics {L3}

CO2: Estimate the best fit curve, correlation and regression through data analysis {L2}

CO3: Determine the probability density function of discrete and continuous random variables by applying the key concepts of probability. {L3}

CO4: Calculate the mean, variance and probability density function of different theoretical distributions {L3}

CO5: Test the hypothesis of small and large samples using various statistical tools {L5}

Unit-1
Teaching Hours:6
Probability
 

Fundamentals of Statistics, Mean, median, mode, expectation.

Unit-2
Teaching Hours:6
Curve Fitting
 

Curve fitting by the method of least squares,  y = a + bx, y = a + bx + cx^2, y = ax^b, y = ab^x, y = ae^x, 

Correlation and Regression

Unit-3
Teaching Hours:6
Random Variable
 

Basic probability theory along with examples, Random variables – Discrete

and continuous random variables. Probability mass function (pmf), Probability

density function (pdf), cumulative distribution function (cdf), mean, variance

Unit-4
Teaching Hours:6
Sampling
 

Theoretical distribution - Binomial, Poisson, Normal and Exponential distributions

Unit-5
Teaching Hours:6
Testing Tools
 

Testing of hypothesis, small and large samples, student t – test, F – test, chi – square test, testing by statistical tools

Text Books And Reference Books:

T1. Ross, S., “A first course in probability”, 9th Edition, Pearson Education, Delhi,  2012.

T2. T.Veerarajan, “Probability, Statistics and Random process”, 3rd Edition, Tata McGraw Hill, New Delhi,  2008.

Essential Reading / Recommended Reading

R1. Allen., A.O., “Probability, Statistics and Queuing Theory”, Academic press, New Delhi, 1981. 

Evaluation Pattern

CIA1(COMPONENT-1)                        Closed book Test: Unit 2 (CO2), Assignment

CIA1(COMPONENT-2)                        Closed book Test: Unit 1 (CO1)

CIA2(Mid Semester Examination)      Closed book Test: Unit 1, Unit 2 and Unit 3 (CO1, CO2, CO3)

CIA3(COMPONENT-1)                        Closed book Test: Unit 4 (CO5)

CIA3(COMPONENT-2)                        Closed book Test: Unit 5 (CO5)

End Semester Examination                  

MICSAI533 - FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course provides a strong foundation of fundamental concepts in Artificial Intelligence. To provide a basic exposition to the goals and methods and to enable the student to apply these techniques in applications which involve perception, reasoning and learning

Course Outcome

CO 1: Identify the fundamental knowledge of Intelligent agents, searching strategies and syntax and semantics of first order logic

CO 2: Discover the complex problem solving agents, constraint satisfaction problems and optimal decisions in game

CO 3: Inspect the knowledge engineering in first order logic, knowledge representation and chaining mechanisms, knowledge in learning and different forms of learning

CO 4: Determine and build planning strategies, Communication and analysis of grammar and its interpretation

CO 5: Asses a system that utilize artificial intelligence to a complicated task with limited resources in the form of time and computations

Unit-1
Teaching Hours:12
INTRODUCTION
 

Intelligent Agents – Agents and environments - Good behavior – The nature of environments – structure of agents - Problem Solving - problem solving agents – example problems – searching for solutions – uniformed search strategies - avoiding repeated states – searching with partial information.

Unit-2
Teaching Hours:12
SEARCHING TECHNIQUES
 

Informed search and exploration – Informed search strategies – heuristic function – local search algorithms and optimistic problems – local search in continuous spaces – online search agents and unknown environments - Constraint satisfaction problems (CSP) – Backtracking search and Local search for CSP – Structure of problems - Adversarial Search – Games – Optimal decisions in games – Alpha – Beta Pruning – imperfect real-time decision – games that include an element of chance

Unit-3
Teaching Hours:12
KNOWLEDGE REPRESENTATION
 

First order logic – representation revisited – Syntax and semantics for first order logic – Using first order logic – Knowledge engineering in first order logic - Inference in First order logic – propositional versus first order logic – unification and lifting – forward chaining – backward chaining - Resolution - Knowledge representation - Ontological Engineering - Categories and objects – Actions - Simulation and events - Mental events and mental objects

Unit-4
Teaching Hours:12
LEARNING
 

Learning from observations - forms of learning - Inductive learning - Learning decision trees - Ensemble learning - Knowledge in learning – Logical formulation of learning – Explanation based learning – Learning using relevant information – Inductive logic programming - Statistical learning methods - Learning with complete data - Learning with hidden variable - EM algorithm - Instance based learning - Neural networks - Reinforcement learning – Passive reinforcement learning - Active reinforcement learning - Generalization in reinforcement learning

Unit-5
Teaching Hours:12
DEEP LEARNING
 

Convolutional Neural Networks, Motivation, Convolution operations, Pooling,  Image classification, Modern CNN architectures, Recurrent Neural Network, Motivation, Vanishing/Exploding gradient problem, Applications to sequences, Modern RNN architectures

Text Books And Reference Books:

T1. Stuart Russell and Peter Norvig, “Artificial Intelligence – A Modern Approach”, 3rd Edition, Pearson Education, 2014.

T2. Elaine Rich and Kevin Knight, “Artificial Intelligence”, 3rd Edition, Tata McGraw-Hill, 2012.

T3. Francois Chollet “Deep Learning with Python”, 1st Edition Manning Publication, 2018

Essential Reading / Recommended Reading

R1. Nils J. Nilsson, “Artificial Intelligence: A New Synthesis”, 1st Edition, Harcourt Asia Pvt. Ltd., 2012.

R2. George F. Luger, “Artificial Intelligence-Structures and Strategies for Complex Problem Solving”, 6th Edition, Pearson Education / PHI, 2009.

Evaluation Pattern

CIA - 50%

ESE -50%

NCCOE1 - NCC1 (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

·       This Course is offered for cadets of NCC who have successfully completed their B- Certificate.

·       This Course is offered for the NCC cadets in the Open Elective course offered by the department during the 5th Semester.

·        This course can be selected if and only if the cadet Successfully Completes the ‘B’- Certificate exam that is conducted centrally oraganized by the NCC Directorate.

Course Outcome

CO1: .

Unit-1
Teaching Hours:9
Introduction to NCC
 

The NCC- Aims, Objectives and Org of NCC-Incentives-Duties of NCC Cadet- NCC Camps: Types and Conduct. National Integration- Importance and Necessity- Factors affecting National Integration- Unity in Diversity.

Unit-2
Teaching Hours:9
Drill
 

Fundamentals of Foot Drill- Word of Command-Sizing- Salute- Basic Movements – Marching.

Fundamentals of Rifle Drill - Basic Movements- Introduction to .22 Rifle- Handling of .22 Rifle- Range procedure and Theory of grouping.

Unit-3
Teaching Hours:9
Social Services
 

Social Services-Community Development - Swachh Bharat Abhiyan - Social Service Capsule- Basics of Social Service- Rural Development Programmes- NGO’s.

Unit-4
Teaching Hours:9
Personality Development
 

Factors in personality Development- Self-Awareness-Empathy - Critical and Creative Thinking - Decision Making and Problem Solving- Communication Skills- Public Speaking- Group Discussions.

Unit-5
Teaching Hours:9
Disaster Management, Health and Hygiene
 

Organization - Types of Disasters - Essential Services Assistance - Civil Defense Organization - Natural Disasters- Man Made Disasters- Firefighting -Hygiene and Sanitation (Personal and Camp)- First Aid in Common Medical Emergencies and Treatment of Wound.

Text Books And Reference Books:

1.Airwing Cadet Handbook, Specialized Subject SD/SW, Maxwell Press, 2016.

2. Airwing Cadet Handbook, Common Subject SD/SW, Maxwell Press, 2015.

Essential Reading / Recommended Reading

1.Airwing Cadet Handbook, Specialized Subject SD/SW, Maxwell Press, 2016.

2. Airwing Cadet Handbook, Common Subject SD/SW, Maxwell Press, 2015.

Evaluation Pattern

1. The assessment will be carried out as overall internal assessment at the end of the semester for 100 marks based on the following.

 

·       Each cadet will appear for ‘B’ Certificate exam which is centrally conducted by the Ministry of Defense, NCC directorate. The Total marks will be for 350.

·       Each cadets score will be normalized to a maximum of 100 marks based on the overall marks Secured by each cadet. 

RM531P - DATA ACQUISITION AND VISION SYSTEM IN ROBOTICS (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course, the students would be able  

     To deal with basics concepts for selection of sensors and the signal conditioning necessary to include these in a data acquisition system.

     To investigate the analogue to digital and digital to analogue conversion principles and their practical applications for data acquisition and control.

     To learn about the selection of output drivers and devices

     To learn about the machine vision systems and its application.

Course Outcome

CO1: Represent the equivalent circuit of sensors and describe their significant properties (L2).

CO2: Choose the type of signal conditioning circuits to be used for a specific sensor.(L3).

CO3: Discuss the data conversion circuits and the constraints involved in their design.(L3CO4:Examine the requirements for interfacing circuit design.(L3).

CO5: Develop simple working model of a complete data acquisition system.(L2).

 

CO6. Explain the basics of machine vision and their operation.(L2)

Unit-1
Teaching Hours:9
Introduction:
 

General Measurement System, Static and Dynamic characteristics of instruments – qualitative study, Loading effects, Signals and noise in Measurement Systems, Reliability, Choice and economics of Measurement systems.

Unit-1
Teaching Hours:9
Sensing Elements:
 

Equivalent circuit of Resistive, capacitive, inductive, electromagnetic, thermoelectric, elastic, piezoelectric, piezo-resistive, electrochemical sensing elements, Hall effect sensors, characteristics

Unit-2
Teaching Hours:9
Signal conditioning:
 

Amplification, Impedance Matching, Instrumentation Amplifiers, Charge Amplifiers, Filtering, attenuation, Noise Reduction and Isolation – Grounding Conflict, Ground Loops, Cross Talk, Shielded Wiring, Isolation, Linearization, Circuit protection.

Unit-3
Teaching Hours:9
Interfacing circuits:
 

Digital I/O interfacing, Microprocessor interfacing, serial interfaces, multi-channel ADCs, internal microcontroller ADCs, ADC specifications, resolution, accuracy, linearity, offset and quantization errors, sample rate and aliasing, Codecs, line drivers and receivers, high power output drivers and devices.

Unit-4
Teaching Hours:9
Data Acquisition Systems:
 

Parameters of Data Acquisition Systems such as dynamic range, calibration, bandwidth, processor throughput, time-based measurements and jitter-Transducer Electronic data sheet, Smart Sensors, System Architecture, Case Studies.

Unit-5
Teaching Hours:9
Machine vision:
 

Image Sensing and Digitizing - Image definition, Image acquisition devices – videocon camera and digital camera, specialized lighting techniques. Digital Images - Sampling, Quantization and Encoding. Image storage. Image Processing and Analysis - Data reduction – digital conversion and windowing. Segmentation – Thresholding, Edge detection and Region growing. Binary Morphology and grey morphology operations.
Feature Extraction, Object recognition, Depth measurement. Application of Vision systems.

Text Books And Reference Books:

T1. Bentley, John P. Principles of Measurement Systems, 4:th edition, Pearson/Prentice Hall, 2005.

T2. Ramesh Jam, Rangachari Kasturi, Brain G. Schunck, Machine Vision, Tata McGraw Hill, 1991.

Essential Reading / Recommended Reading

R1. Jacob Fraden, Handbook of Modern Sensors – Physics, Design and Applications, Fourth Edition, Springer, 2010.

R2. Data Acquistion Handbook, A Reference for DAQ and analog and digital signal conditioning, 3rd Edition, 2012.

R3. Fu K S, Gonzalez R C, Lee C.S.G, Robotics: Control, Sensing, Vision and Intelligence, McGraw Hill, 1987.

Evaluation Pattern

COURSES WITH THEORY AND PRACTICAL

 

Component

Assessed for

Minimum marks

to pass

Maximum

marks

1

Theory CIA

30

-

30

2

Theory ESE

30

12

30

3

Practical CIA

35

14

35

4

Attendance

05

-

05

4

Aggregate

100

40

100

 

DETAIL OF MARK FOR COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

     Minimum marks required to pass in practical component is 40%.

     Pass in practical component is eligibility criteria to attend Theory End semester examination for the same course.

     A minimum of 40 % required to pass in ESE -Theory component of a course.

     Overall 40 % aggregate marks in Theory & practical component, is required to pass a course.

     There is no minimum pass marks for the Theory - CIA component.

     Less than 40% in practical component is refereed as FAIL.

     Less than 40% in Theory ESE is declared as fail in the theory component.

     Students who failed in theory ESE have to attend only theory ESE to pass in the course

RM532P - FLUID POWER AUTOMATION (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

At the end of the course, the students would be able

1. To familiarize with the basic concepts of industrial automation.

2. To acquaint with the concept of low cost automation with pneumatic and hydraulic systems.

3. To familiarize with the elements of electrical control systems.

4. To acquaint with the concepts related to fluid power.

Course Outcome

CO1. Apply automation techniques in small manufacturing set-ups. (L3)

CO2. Illustrate the working principles of fluid power accessories like pumps, motors. (L2)

CO3. Analyse pneumatic and hydraulic circuits of medium complexity. (L4)

CO4. Illustrate the working of control and regulation elements used in pneumatic and hydraulic circuits. (L2)

 

CO5. Demonstrate the use of electrical and electronics control in pneumatic and hydraulic circuits. (L2)

Unit-1
Teaching Hours:9
Introduction to Fluid Power Automation
 

Definition; Automation in production systems; Automation principles and strategies; Levels of automation; Types of automation; Benefits and Impact of Automation on Manufacturing and Process Industries. Hydraulic & Pneumatic Comparison – ISO symbols for fluid power elements, Hydraulic, pneumatics – Selection criteria.

Unit-2
Teaching Hours:9
Fluid Power Generating/Utilizing Elements
 

Hydraulic pumps and motor, gears, vane, piston. Pumps & motors- selection and specification-Drive characteristics – Linear actuator – Types, mounting details, cushioning – power packs – construction. Reservoir capacity, heat dissipation, accumulators and their types. Applications of Accumulator circuits. Standard circuit symbols, circuit (flow) analysis. Different types of compressors and Actuators in Pneumatics, their applications and use of their ISO symbols.

Unit-3
Teaching Hours:9
Control And Regulation Elements
 

Hydraulic and pneumatic direction, flow and pressure control valves. Methods of actuation, types, sizing of ports – pressure and temperature compensation, overlapped and under lapped spool valves – operating characteristics-electro hydraulic and electro-pneumatic servo valves- different types-characteristics and performance. Difference between Servo and Proportional hydraulic valve

Unit-4
Teaching Hours:9
Sensors and Transducers
 

Performance Terminology; Displacement, position and Proximity Sensors; Velocity and Motion Sensors; Force and Fluid Pressure Sensors; Liquid level and Flow sensors; Temperature and light Sensors; Control of stepper motors.

Unit-5
Teaching Hours:9
Circuit Design: Basic Hydraulic Circuits and Pneumatic Circuit Designing
 

Basic Hydraulic Circuits: Meter in, meter out and Bleed off circuits; Intensifier circuits, Regenerative Circuit, Counter balance valve circuit and sequencing circuits.

 

Pneumatic Circuit Designing: Design of Pneumatic sequencing circuits using Cascade method and Shift register method (up to 3 cylinders).

Text Books And Reference Books:

T1. Mikell P. Groover, Automation, Production Systems, and Computer-integrated Manufacturing (3rd Edition), PHI Learning Private Limited, New Delhi, 2008.

T2. Joji P., Pneumatic Controls, Wiley India Pvt. Ltd., 2008.

 

T3. Peter Croser, Frank Ebel, Pneumatics Basic Level, Festo Didactic GmbH & Co. Germany. Prede T4. G., Scholz D., Electropneumatics Basic Level, Festo Didactic GmbH & Co. Germany.

Essential Reading / Recommended Reading

R1. S.Ilango and V. Soundararajan, Introduction to Hydraulics and Pneumatics, PHI Learning Pvt. Ltd. New Delhi.

R2. Industrial Hydraulics Manual, Sperry & Vickers Co.

R3. Shanmuga Sundaram.K, Hydraulic and Pneumatic controls, Chand& Co. 2006.

Evaluation Pattern

COURSES WITH THEORY AND PRACTICAL

 

Component

Assessed for

Minimum marks

to pass

Maximum

marks

1

Theory CIA

30

-

30

2

Theory ESE

30

12

30

3

Practical CIA

35

14

35

4

Attendance

05

-

05

4

Aggregate

100

40

100

 

DETAIL OF MARK FOR COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

     Minimum marks required to pass in practical component is 40%.

     Pass in practical component is eligibility criteria to attend Theory End semester examination for the same course.

     A minimum of 40 % required to pass in ESE -Theory component of a course.

     Overall 40 % aggregate marks in Theory & practical component, is required to pass a course.

     There is no minimum pass marks for the Theory - CIA component.

     Less than 40% in practical component is refereed as FAIL.

     Less than 40% in Theory ESE is declared as fail in the theory component.

 

     Students who failed in theory ESE have to attend only theory ESE to pass in the course

RM533 - DESIGN OF MACHINE ELEMENTS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

     The student shall gain appreciation and understanding of the design function in mechanical engineering, the steps involved in designing and the relation of design activity with manufacturing activity.

     The student shall be able to choose proper materials to different machine elements depending on their physical and mechanical properties. Thus he shall be able to apply the knowledge of material science in real life usage.

     Student shall gain a thorough understanding of the different types of failure modes and criteria. He will be conversant with various failure theories and be able to judge which criterion is to be applied in which situation.

 

     Student shall gain design knowledge of the different types of elements used in the machine design process. E.g., fasteners, shafts, couplings etc. and will be able to design these elements for each application.

Course Outcome

CO1: Discuss the function of machine elements in mechanical engineering, the steps involved in designing and the relation of design activity with manufacturing activity. (L2)

CO2: Analyze the different types of failure modes and will be conversant with various failure theories and be able to judge which criterion is to be applied in which situation. (L2).

CO3: Apply the knowledge of the curved beams and cylinders in determining the stresses developed for its real time usage. (L3).

CO4: Select the type of spring required for the application and will be able to calculate dimensions of spring. (L3).

 

CO5: Design the different types of elements used in the machine design process. Eg. Riveted joint, Welded Joints etc. and will be able to design these elements for each application. (L3). 

Unit-1
Teaching Hours:9
Definitions:
 

Introduction:  Normal,  shear,  biaxial  and  tri  axial stresses,  Stress  tensor,  Principal  Stresses.  Engineering Materials and their mechanical   properties,   Stress-Strain   diagrams,   Stress   Analysis,   Design considerations: Codes and Standards.

Unit-2
Teaching Hours:9
Design For Fatigue Strength:
 

Introduction-  S-N  Diagram,  Low cycle fatigue, High cycle fatigue, Endurance limit, Modifying  factors:  size  effect,  surface  effect,  Stress  concentration  effects,  Fluctuating  stresses,  Goodman  and  Soderberg  relationship, stresses  due  to combined loading, cumulative fatigue damage.

Unit-2
Teaching Hours:9
Static Strength:
 

Static loads  and  factor  of  safety,  Theories  of  failure:  Maximum  normal  stress theory,  Maximum  shear  stress  theory, Maximum strain theory, Strain energy theory, Distortion energy theory. Failure of brittle and ductile materials, Stress concentration, Determination of Stress concentration factor.

 

 

Impact Strength: Introduction, Impact stresses due to axial, bending and torsional loads, effect of inertia.

Unit-3
Teaching Hours:9
Cylinders & Cylinder Heads:
 

Review  of  Lame’s  Equations; compound  cylinders,  stresses  due  to  different  types  of  fits,  cylinder  heads, flats.

Unit-3
Teaching Hours:9
Curved Beams:
 

Stresses  in  curved  beams  of  standard  cross sections  used  in  crane  hook,  punching  presses  &  clamps,  closed  rings  and links

Unit-4
Teaching Hours:9
Design Of Springs:
 

Types of springs - stresses in Helical coil springs of circular and  non-circular  cross  sections.  Tension and compression springs, springs under fluctuating loads, Leaf Springs:  Stresses in leaf springs.  Equalized stresses, Energy stored in springs, Torsion, Belleville and Rubber springs.

Unit-5
Teaching Hours:9
Riveted and Welded Joints
 

Types,  rivet  materials,  failures  of riveted  joints,  Joint  Efficiency,  Boiler  Joints, Lozanze Joints, Riveted Brackets. Welded Joints – Types, Strength of butt and fillet welds, Eccentrically loaded welded joints. 

Unit-5
Teaching Hours:9
Threaded Fasteners:
 

Stresses in threaded fasteners, Effect of initial tension, Design of threaded fasteners under static, dynamic and impact loads, Design of eccentrically loaded bolted joints.

Text Books And Reference Books:

T1. Design of Machine Elements 1, K Raghavendra, CBS Publishers and Distributors Private Limited, New Delhi, 1nd Edition 2017.

T2. Design of Machine Elements 2, K Raghavendra, CBS Publishers and Distributors Private Limited, New Delhi, 1nd Edition 2015.

T3. Mechanical Engineering Design, Joseph E Shigley and Charles R. Mischke, McGraw Hill International edition, 6th Edition 2009.

T4. Design of Machine Elements, V.B. Bhandari, Tata McGraw Hill Publishing Company Ltd., New Delhi, 3rd Edition first reprint 2010.

Essential Reading / Recommended Reading

R1.Robert L. Norton, “Machine Design”, 3rd Impression, Pearson Education Asia, 2008.

R2. M. F. Spotts, T. E. Shoup, L. E. Hornberger, S. R. Jayram and C. V. Venkatesh, “Design of Machine Elements”, Special Indian Edition, Pearson Education, 2006.

R3. Hall, Holowenko, Laughlin, “Machine Design”, Special Indian Edition, Schaum’s Outlines series, Tata McGraw Hill Publishing Company Ltd., 2010.

R4. Robert C. Juvinall and Kurt M Marshek, “Fundamentals of Machine Component Design”, 5th Edition, Wiley India Pvt. Ltd., 2012.

DESIGN DATA HANDBOOKS:

1. K. Lingaiah, “Design Data Hand Book”, 4th edition, McGraw Hill, 2013.

2. K. Mahadevan and Balaveera Reddy, “Design Data Hand Book”, 4th edition, CBS Publication, 2013.

 

3. H.G. Patil, Shri ShashiPrakashan, “Design Data Hand Book”, Belgaum. Reprint, I K International Publishing house, 2011

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE {without practical component}

     Continuous Internal Assessment {CIA} : 50% {50 marks out of 100 marks}

     End Semester Examination{ESE}         : 50% {50 marks out of 100 marks}

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                      : 10 marks

CIA II  :   Mid Semester Examination {Theory}                    : 25 marks                  

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications                                                                                              : 10 marks

Attendance                                                                             : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination {MSE} : Theory Papers:

     The MSE is conducted for 50 marks of 2 hours duration.

     Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination {ESE}:

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year.

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

25 % - Complex level questions 

RM544E1 - AUTONOMOUS VEHICLES (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

At the end of the course, the students would be able to

     Simulation is used intensively in a field of design and development.

     Students will understand how to prepare the basic model and how to perform simulation on it by taking various assumption.

     Students can apply the knowledge they have obtained while studying FEM and Mechanical Vibration.

Course Outcome

CO1: Exposed to use FEA softwares for modelling of machine components. (L2)

CO 2: Applying the boundary conditions on the given system. (L2)

 

CO3: Solving Engineering Mechanics Problems by using Commercial FEM Tools. (L5) 

Unit-1
Teaching Hours:8
List of Experiments
 

 

 

List of Experiments (If any):

Practical Hours

          1. Solid modelling of engineering components.

8

2. Solid modelling of engineering assembly.

2

3. Stress analysis of a plate with circular hole

2

  1. Stress analysis of rectangular l bracket

2

  1. Stress analysis of beam

2

  1. Mode frequency analysis of beam

2

  1. Harmonic analysis of a 2d component

2

  1. Eigenvalue Buckling of a Square Tube

2

  1. Stress analysis of an axisymmetric component

2

  1. Thermal stress analysis of a 2d component

2

  1. Non-linear Analysis of Skew Plate

2

  1. Buckling of a Square Tube with Imperfections

2

  1. Hinge Model and Non-linear Analysis of Skew Plate

2

Text Books And Reference Books:

R1. M. Asghar Bhatti, “FUNDAMENTAL Finite Element Analysis and Applications with Mathematica and MATLAB Computations”, Wiley India Pvt. Ltd.

R2.Stormy Attaway, “Matlab: A Practical Introduction to Programming and Problem Solving”, 3rd edition, Butterworth-Heinemann Publisher.

R3.W. Y. Yang and W. C. T.-S. Chung., Applied Numerical Methods Using Matlab, John Wiley & Sons, Inc., 2005

R4.S. J. Chapman, MATLAB programming for engineers, New Delhi: Cengage Learning, 2004

R5.K. B. Datta, Matrix And Linear Algebra Aided with Matlab, New Delhi: PHI Learning Private Limited, 2009

 

R6.M. P. Coleman, An introduction to partial differential equations with MATLAB, Boca Raton: CRC Press, 2005

Essential Reading / Recommended Reading

R1. M. Asghar Bhatti, “FUNDAMENTAL Finite Element Analysis and Applications with Mathematica and MATLAB Computations”, Wiley India Pvt. Ltd.

R2.Stormy Attaway, “Matlab: A Practical Introduction to Programming and Problem Solving”, 3rd edition, Butterworth-Heinemann Publisher.

R3.W. Y. Yang and W. C. T.-S. Chung., Applied Numerical Methods Using Matlab, John Wiley & Sons, Inc., 2005

R4.S. J. Chapman, MATLAB programming for engineers, New Delhi: Cengage Learning, 2004

R5.K. B. Datta, Matrix And Linear Algebra Aided with Matlab, New Delhi: PHI Learning Private Limited, 2009

 

R6.M. P. Coleman, An introduction to partial differential equations with MATLAB, Boca Raton: CRC Press, 2005

Evaluation Pattern

 

ASSESSMENT - ONLY FOR PRACTICAL COURSE

     Continuous Internal Assessment {CIA} : 50% {25 marks out of 50 marks}

     End Semester Examination{ESE}         : 50% {25 marks out of 50 marks}

RM551 - MODELLING AND ANALYSIS LABORATORY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

At the end of the course, the students would be able to

     Simulation is used intensively in a field of design and development.

     Students will understand how to prepare the basic model and how to perform simulation on it by taking various assumption.

     Students can apply the knowledge they have obtained while studying FEM and Mechanical Vibration.

Course Outcome

CO1: Exposed to use FEA softwares for modelling of machine components. (L2)

CO2: Applying the boundary conditions on the given system. (L2)

CO3: Solving Engineering Mechanics Problems by using Commercial FEM Tools. (L5)

Unit-1
Teaching Hours:8
List of Experiments
 

List of Experiments (If any):

Practical Hours

          1. Solid modelling of engineering components.

8

2. Solid modelling of engineering assembly.

2

3. Stress analysis of a plate with circular hole

2

4.        Stress analysis of rectangular l bracket

2

5.        Stress analysis of beam

2

6.        Mode frequency analysis of beam

2

7.        Harmonic analysis of a 2d component

2

8.        Eigenvalue Buckling of a Square Tube

2

9.        Stress analysis of an axisymmetric component

2

10.     Thermal stress analysis of a 2d component

2

11.     Non-linear Analysis of Skew Plate

2

12.     Buckling of a Square Tube with Imperfections

2

13.     Hinge Model and Non-linear Analysis of Skew Plate

2

Text Books And Reference Books:

R1. M. Asghar Bhatti, “FUNDAMENTAL Finite Element Analysis and Applications with Mathematica and MATLAB Computations”, Wiley India Pvt. Ltd.

R2.Stormy Attaway, “Matlab: A Practical Introduction to Programming and Problem Solving”, 3rd edition, Butterworth-Heinemann Publisher.

R3.W. Y. Yang and W. C. T.-S. Chung., Applied Numerical Methods Using Matlab, John Wiley & Sons, Inc., 2005

R4.S. J. Chapman, MATLAB programming for engineers, New Delhi: Cengage Learning, 2004

R5.K. B. Datta, Matrix And Linear Algebra Aided with Matlab, New Delhi: PHI Learning Private Limited, 2009

R6.M. P. Coleman, An introduction to partial differential equations with MATLAB, Boca Raton: CRC Press, 2005

Essential Reading / Recommended Reading

R1. M. Asghar Bhatti, “FUNDAMENTAL Finite Element Analysis and Applications with Mathematica and MATLAB Computations”, Wiley India Pvt. Ltd.

R2.Stormy Attaway, “Matlab: A Practical Introduction to Programming and Problem Solving”, 3rd edition, Butterworth-Heinemann Publisher.

R3.W. Y. Yang and W. C. T.-S. Chung., Applied Numerical Methods Using Matlab, John Wiley & Sons, Inc., 2005

R4.S. J. Chapman, MATLAB programming for engineers, New Delhi: Cengage Learning, 2004

R5.K. B. Datta, Matrix And Linear Algebra Aided with Matlab, New Delhi: PHI Learning Private Limited, 2009

 

R6.M. P. Coleman, An introduction to partial differential equations with MATLAB, Boca Raton: CRC Press, 2005

Evaluation Pattern

 

ASSESSMENT - ONLY FOR PRACTICAL COURSE

     Continuous Internal Assessment {CIA} : 50% {25 marks out of 50 marks}

     End Semester Examination{ESE}         : 50% {25 marks out of 50 marks}

RM581 - MINI PROJECT (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The mini project work extends for a single semester and exposes the student to develop and present his/her work related to specific topic. Student shall select the project topic in consultation with mentor/guide/supervisor to his/her area of specialization and work on it. Student will prepare a report outlining objective of the project work, importance of the study, review of literature published in the relevant field and possible areas for further work. The student shall present seminar on this report. 

Course Outcome

CO1: Students will be able to apply the skill of presentation and communication techniques

CO2: Students will be able to use their knowledge of the fundamentals of subjects to search the related literature

CO3: Student will be able to analyze the available resources and to select most appropriate one

CO4: Students will be able to apply a multidisciplinary strategy to address current, real world issues.

Unit-1
Teaching Hours:60
Guidelines for Mini Project
 

1. Mini project should be based on thrust areas in robotics and Mechatronics Engineering

2. Students should do literature survey and identify the topic of the seminar/mini project and finalize in Consultation with Guide/Supervisor.

3. Students should use multiple literatures.

Text Books And Reference Books:

The theme of the Project-related journal papers and reference books.

Essential Reading / Recommended Reading

The theme of the Project-related journal papers and reference books.

Evaluation Pattern

Overall-50marks

VMEC511 - FUNDAMENTALS OF CAE SIMULATIONS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:4
Max Marks:50
Credits:0

Course Objectives/Course Description

 

·      To simplify the geometry for Finite Element Modelling.

·      To study the parameters influencing CAE outputs.

·      To understand the material properties to be considered for FEA.

·      To learn about boundary conditions.

 

Course Outcome

CO1: To Understand the concepts of Virtual Design and Testing.

CO2: To demonstrate the Concept of Finite Element Modelling and Analysis.

CO3: To be able to formulate the virtual model and analysis settings.

CO4: To understand the concept of FE modeling and analysis.

CO5: To be able to solve Problems of different domains like, structural, Thermal, Vibration, etc.,

Unit-1
Teaching Hours:6
INTRODUCTION
 

Definition of Finite Element Modelling, types of elements. Higher order elements. Notation for displacements, strains, forces and stresses. Co-ordinate systems, symmetry planes. Boundary conditions

Introduction to CAE Tools: Pre-processor, Solver types, Post-processing steps and features with simple examples.

Unit-2
Teaching Hours:6
Geometry Simplification
 

Identification of Critical/interested areas in geometry. Simplification of geometry through defeature options. 

Unit-2
Teaching Hours:6
File management
 

Types of geometry files to be imported/exported. Details of files generated during CAE operations

Unit-3
Teaching Hours:6
Boundary conditions
 

Types of boundary conditions based on applications. Examples for each case.

Unit-3
Teaching Hours:6
Types of analysis
 

Static and dynamic analysis. Steady and Transient. Structural, Thermal and Vibration analysis. With examples.

Unit-4
Teaching Hours:6
Finite Element Modelling
 

Types of elements and their orders. Selection of element types based on output requirements. Elements Parameters setting.

 

Unit-4
Teaching Hours:6
Convergence Criteria
 

Methods used to get converged solutions. Example problems.       

Unit-5
Teaching Hours:6
Verification of FEA results
 

Methods to verify FEA outputs, Simple calculations through classical/graphical methods.

Unit-5
Teaching Hours:6
Post-Processing
 

Output parameters like displacements, reaction forces, strains and stresses. Graphical representation of results. Output file management with results files.

Text Books And Reference Books:

 

T1.     Gokhale Nitin S., "Practical Finite Element Analysis",.

T2.     Rajasekaran S, “Finite Element Analysis”,.

T3.     Bi Zhuming," Finite Element Analysis Applications”, Acad Pr.

Essential Reading / Recommended Reading

R1. S S Bhavikatti, “Finite Element Analysis ", New Age International Publishers.

Evaluation Pattern

Continous Internal Assessment-50Marks

BTGE631 - CORPORATE SOCIAL RESPONSIBILITY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course will familiarize the students with the concept of corporate social responsibility. The evolution of CSR has far reaching consequences on the development sector in India. The collaboration of companies and NGOs with the community has initiated a new paradigm of change in the country. The students will have an overview of the theories and the frameworks developed in the area of CSR. The paper will discuss a few prominent case studies of CSR.

 Course Objectives 

 

  • To understand the concept of CSR and the theoretical underpinnings.

  • To understand the stakeholder approaches.

  • To provide an experiential, integrative, substantive, and high quality experience surrounding issues of Corporate Social Responsibility

  • To provide participating students with a truly unique curriculum experience with field experience.

Course Outcome

CO1: The students will be able to demonstrate their understanding in general on CSR.

CO2: To exhibit their skill in executing the responsibilities and implementing different approaches in CSR.

CO3: The students will be able to critically evaluate the CSR programs of a corporate

Unit-1
Teaching Hours:7
Corporate social responsibility
 

Defining CSR. Aim and Objectives, Components of CSR, key  drivers,  History  and  Evolution  of  CSR  in  the  Indian and international  context,  CSR  policies  and  Governance,  Laws  and Regulations. Competencies of CSR Professionals. 

Unit-2
Teaching Hours:7
Stakeholder Engagement
 

Stakeholder engagement, Interaction in a Multi-Stakeholder Context: CSR role on internal environment: Employees, Human Resource Management - labour security and human rights, Health and Safety.CSR role on External environment: 1) Customers: Consumer rights and movements affecting CSR; (2) Community: Community involvement, (3) Shareholders (4) Suppliers.

Unit-3
Teaching Hours:6
CSR towards Environment and Biodiversity
 

Environment: Need for Environmental assessments. Governments’ response to CSR. Role of Biodiversity, Climate change and Environment in business. Environmental compliance. 

Unit-4
Teaching Hours:4
Sustainability models
 

Benefits of CSR to Business. Factors hindering CSR activities in companies

Unit-5
Teaching Hours:6
Theories of CSR
 

Theories of CSR: A.B Carroll, Wood, and stakeholders Theories.  The triple bottom line approach.  Stakeholder engagement, Standards and Codes – SA 8000, the Global Compact, GRI, ISO 26000.

Text Books And Reference Books:
  • Agarwal, S. (2008). Corporate social responsibility in India. Los Angeles: Response.

  • Visser, W. (2007). The A to Z of corporate social responsibility a complete reference guide to concepts, codes and organisations. Chichester, England: John Wiley & Sons. 

  •  Crane, A. (2008). Corporate social responsibility: Readings and cases in a global context. London: Routledge.

  •  Werther, W., & Chandler, D. (2006). Strategic corporate social responsibility: Stakeholders in a global environment. Thousand Oaks: SAGE Publications.
Essential Reading / Recommended Reading
  • Baxi, C. (2005). Corporate social responsibility: Concepts and cases: The Indian experience. New Delhi, India: Excel Books.

  • Visser, W. (2011). The age of responsibility CSR 2.0 and the new DNA of business. Chichester, West Sussex: John Wiley & Sons.
Evaluation Pattern

CIA 1 - 20 Marks

CIA 2 - 50 Marks 

CIA 3 - 20 marks

 

ESE - 100 marks

BTGE632 - DIGITAL MEDIA (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course provides students the insight on search engine optimization, social media and digital marketing techniques that helps them understand how each of the social media platforms works and how to strategize for any type of objectives from clients. Students will discover the potential of digital media space and will have hands on experience with different digital platforms.

Course Outcome

CO1: Understand search engine optimization (SEO) techniques and principles.

CO2: Gain expertise in managing and marketing on various social media platforms.

CO3: Apply digital marketing techniques to achieve specific business objectives.

Unit-1
Teaching Hours:10
Concepts
 

Website Hosting/Design/Development/Content, Fundamentals of SEO, Voice Search Optimization, Local SEO, Advanced/Technical SEO, SEO Audit, Competition Analysis, Concepts of Digital Marketing

Unit-2
Teaching Hours:10
Marketing
 

Marketing on platforms – Facebook/Twitter/LinkedIn/Instagram/YouTube, Quora, Basics of Video Editing, Inbound Marketing, Email Marketing, Digital Marketing Planning and Strategy, Marketing Automations and Tools

Unit-3
Teaching Hours:10
Growth Hacking
 

Ethical vs. Unethical, Funnels, KPI’s, Viral Coefficient, Cohorts, Segments, Multivariate Testing, Lifetime Value of a Customer, Customer Acquisition Cost, Analytics Types, Tools, Project

Text Books And Reference Books:

Phillip J. Windley, "Digital Identity" O'Reilly Media, 2005

Essential Reading / Recommended Reading

Dan Rayburn, Michael Hoch, "The Business of Streaming and Digital Media", Focal Press, 2005

Evaluation Pattern
  • CIA 1 - Evaluated out of 20, which will be converted to 10
  • CIA 2 - Mid Semester Exam evaluated out of 50, which will be converted to 25
  • CIA 3 - Evaluated out of 20, which will be converted to 10
  • Total CIA Marks after conversion - 45
  • Attendance Marks - 5
  • ESE Evaluated out of 100, which will be converted to 50
  • Total Marks = CIA (Total) + ESE + Attendance = 45 + 50 + 5 = 100

 

BTGE633 - FUNCTIONAL ENGLISH (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Students will be able to develop a clear understanding of the principles and characteristics of communication in professional settings. They would have developed skills for grammatical accuracy, precise vocabulary, clear style and appropriate tone for formal, professional communication

Course Outcome

1: Upon completing the syllabus students will be able to show a good grasp of the fundamentals of English language. Students will be able to deliver the topic orally and in writing with greater independence and greater linguistic correctness

2: Will be able to distinguish and discuss differences in English language structure between speech and writing as well as distinguish and discuss stylistic differences (formal and informal English)

3: Will be able to actively and independently participate in group discussions, can make successful attempt to persuade in decision making, and can withstand the pressures in interview.

4: Will be equipped to network in academic and work settings. Would be able to confidently appear in front of a larger crowd and give presentations

5: Will acquire skills in CV writing, cover letter writing and content generation

Unit-1
Teaching Hours:6
Verbal
 

       Training on Nouns, Pronouns, Homophones, Homonyms

       Verbs and Gender

       Training on Tenses

       Active Voice, Passive Voice and Sentence Formation

       Direct and Indirect Speech

       Adjectives and Adverbs

Unit-2
Teaching Hours:6
FORMAL COMMUNICATION
 

       Barriers of communication and effective solutions

       Workplace English

       Pleasantries and networking

       Cross-cultural understanding

 

Unit-3
Teaching Hours:6
WRITTEN Workplace English
 

•    Professional Writing

•    Analytical

•    Instructional including writing MOMs

•    Project Planning

•    Creative writing

•    Blogging

•    Event management proposal meeting

       •     Professional communication – Email Etiquette, Cover letters, Resume

Unit-4
Teaching Hours:6
WRITTEN Academic Writing
 

       Application in technical fields and written communication

       Project writing, essays and theories

       Paper presentation skills and creative writing

       Final project writing

Unit-5
Teaching Hours:6
PUBLIC SPEAKING
 

       Training on Presentation Skills

       Body Language and Accent Training

       Voice projection

       Group Discussion Do’s and Don’ts

       Getting individual feedback

Training on appropriate grooming code and body language in a professional workplace and delivery of apt elevator pitch

Text Books And Reference Books:

   TEXT BOOKS

       High School English Grammar and Composition Book, Wren and Martin

       Writing At Work: Professional Writing Skills for People, Edward L. Smith and Stephen A. Bernhardt

Essential Reading / Recommended Reading

REFERENCE BOOKS

       English grammar in use book – Raymond Murphy

       WordPress to Go: How to Build a WordPress Website on Your Own Domain, from Scratch, Even If You Are a Complete Beginner Sarah McHarry.

       The Art of Public Speaking

       Textbook by Stephen E. Lucas

      True Professionalism, David Maister

 

 

Evaluation Pattern

Stress Interview/ Panel Discussion/Group

BTGE634 - GERMAN (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

 

Description:  Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs. Can introduce him/herself and others as well as ask others about themselves

Objectives

      Impart the language and through that insight into the country and the culture.

     Sensitize the students to the environment of a foreign country. To enable the students adapt to a new environment and culture.

Course Outcome

CO1: Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs.

CO2: Can introduce oneself and others as well as ask others about themselves ? e.g. where they live, whom they know and what they own ? and can respond to questions of this nature.

C03: Can handle everyday situations like shopping, eating out, visiting places, travelling, holidaying, requesting for information, making an appointment, cancelling an appointment, filling up a form etc.

Unit-1
Teaching Hours:6
INTRODUCTION, SELF AND OTHERS
 

Introduction: Greeting and saying goodbye, Introducing yourself and others, Talking about yourself and others.

Numbers, telephone numbers and mail-addresses, the alphabet (spelling), countries and languages.

Question words, sentences, verbs and personal pronouns.

Unit-2
Teaching Hours:6
AROUND YOU? :FRIENDS, COLLEGEAUS
 

Hobbies, meeting friends, Weekdays, months and seasons, work and working times

Articles, verbs, Yes/ no questions, Plurals, The verbs “to have” and “to be”.

Unit-3
Teaching Hours:6
PLACES TO VISIT
 

Places in the city, asking for directions, Means of transport. Orientation in a city.

Imperative sentences.

Unit-4
Teaching Hours:6
FOOD
 

Shopping for food, conversation during food shopping, ordering food and drinks, general greetings during eating out.

Word position in sentence, accusative case.

Unit-5
Teaching Hours:6
TIME WITH FRIENDS
 

Telling time and organizing meetings with family and friends.

Making plans, Birthday invitations, in Restaurants.

Finding information in a text, event tips in the radio, leisure activities, brochures.

Possessive articles, Modal verbs ,simplePast tense (to have and to be)

Text Books And Reference Books:

·       Netzwerk – Deutsch als Fremdsprache A1.

Publisher- Langenscheidt

Essential Reading / Recommended Reading

·       Netzwerk – Deutsch als Fremdsprache A1.

Publisher- Langenscheidt

Evaluation Pattern

·       CIA I

 

Content

 

 

Marks

 

Nature of evaluation

 

Self introduction

Answering 2 Questions

 

 

4

6

 

Speaking

 

Filling an application form

 

 

10

 

Written

 

 

·       CIA II

Written examination 50 marks

 

·       CIA III

 

Content

 

 

Marks

 

Nature of evaluation

 

Hearing comprehension

Reading comprehension

 

 

5

5

 

Listening to a track

Written

 

Writing a letter

 

 

10

 

Written

·       SEMESTER EXAM

 

Written examination 100 marks

 

BTGE635 - INTELLECTUAL PROPERTY RIGHTS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Innovation is crucial to us and plays significant role in the growth of economy. Government policies and legal framework offer protection to new inventions and creative works. This course intends to equip students to understand the policies and procedures they may have to rely on for the purposed of protecting their inventions or creative works during the course of their study or employment.

The course consists of five units. Theories behind the protection of intellectual property and its role in promoting innovations for the progress of the society are the focus of first unit. Second unit deals with protection of inventions through patent regime in India touching upon the process of obtaining international patents. The central feature of getting patent is to establish new invention through evidence. This is done through maintaining experimental/lab records and other necessary documents. The process of creating and maintain documentary evidence is dealt in Unit 3. Computers have become an integral part of human life. Till 1980, computer related inventions were not given much importance and lying low but today they have assumed huge significance in our economy. Computer related inventions and their protection which requires special treatment under legal regimes are discussed in Unit 4. The last module deals with innovations in e- commerce environment.

 

Course Outcome

CO1: Understand the meaning and importance of intellectual property rights as well as different categories of intellectual property.

CO2: Understand the meaning of patentable invention, the procedure for filing patent applications, rights of the patentee and the different rights of patentee.

CO3: Maintain research records in the patent process, the process of patent document searching and how to interact with patent agent or attorney.

CO4: Understand the issues related to patenting of software, digital rights management and database management system.

CO5: Understand the intellectual property issues in e- commerce, evidentiary value of electronic signature certificates, protection of websites and the protection of semiconductor integrated circuits.

Unit-1
Teaching Hours:6
Introduction
 

Detailed Syllabus: Philosophy of intellectual property - Intellectual Property & Intellectual Assists – Significance of IP for Engineers and Scientists – Types of IP – Legal framework for Protection of IP – Strategies for IP protection and role of Engineers and Scientists.

Unit-2
Teaching Hours:6
Patenting Inventions
 

Meaning of Invention – Product and Process Patents – True inventor – Applications for Patent – Procedures for obtaining Patent – Award of Patent – rights of patentee – grounds for invalidation – Legal remedies – International patents

Unit-3
Teaching Hours:6
Inventive Activities
 

Research Records in the patent process – Inventorship - Internet patent document searching and interactions with an information specialist - Interactions with a patent agent or attorney - Ancillary patent activities - Technology transfer, patent licensing and related strategies.

Unit-4
Teaching Hours:6
Computer Implemented Inventions
 

Patents and software – Business Method Patents – Data protection – Administrative methods – Digital Rights Management (DRM) – Database and Database Management systems - Billing and payment – Graphical User Interface (GUI) – Simulations – E-learning – Medical informatics – Mathematical models

Unit-5
Teaching Hours:6
Innovations in E-Commerce
 

IP issues in e-commerce - Protection of websites – website hosting agreements – Copyright issues – Patentability of online business models – Jurisdiction – Digital signatures – Evidentiary value of Electronic signature certificates – Role of Certifying Authorities – Protection of  Semiconductor ICs

Text Books And Reference Books:

1. V.J. Taraporevala’s, Law of  Intellectual Property, Third Edition, 2019

2. Elizabeth Verkey, Intellectual Property, Eastern Book Company,  2015

Essential Reading / Recommended Reading

1. Martin Adelman, Cases and Materials on Patent Law, 2015

2. Avery N. Goldstein, Patent Law for Scientists and Engineers, Taylor & Francis (2005)

Evaluation Pattern

CIA 1

Assignment description: Class test to identify the different aspects of IP.

 

Assignment details: MCQs

 

CIA II (MSE)

Assessment Description: Closed book exam

Assignment Details: Mid semester examination five questions need to be answered.

 

CIA III

Assessment Description: Students would be assessed on the understanding of the different forms of IP, relevant theoretical justifications of intellectual property protection and the relevant IP statute from practitioner’s approach taught in the class and their ability to apply it correctly to the given problem and proposing solutions.

 

Assignment details: Students will be given a hypothetical legal problem in IP and will be required to write short essay, containing maximum 500 words. In the short essay, they have to answer the following questions

1. Identify the appropriate form of intellectual property.

2. Describe whether a pertinent theoretical justification meets or does not meet the respective form of IP.

3. Apply the correct principle of IP protection to the given case.

4. Evaluate the lacunae in the existing IP mechanism in comparison to international framework.

5. Devise a correct way of handling the lacunas.

ESE DETAILS -

Assessment Description : Closed book exam

Assignment Details: Five problem based questions need to be answered out of seven questions.

BTGE636 - INTRODUCTION TO AVIATION (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

A student successfully completing this course will be able to:

Explain basic terms and concepts in air transportation, including commercial, military, and general aviation; air traffic control. Identify on the parts of an aircraft, classify the aircraft types and Construct models of an Aircraft. Understand the types of Aero engines and analyse the impact of meteorology in Aviation.

Course Outcome

CO1: Interpret the fundamental principles of flight based on theorems and parts of the Aircraft

CO2: Summarize the types of aircrafts and illustrate modelling of an Aircraft

CO3: Identify the types of Aero engines and Make use of Meteorology

Unit-1
Teaching Hours:10
Introduction to Principles of Flight
 

Development of Aviation- Introduction- Laws of Motion -Bernoulli’s Theorem and Venturi Effect – Aero foil- Forces on an Aircraft- Flaps and Slats- Stalling- Thrust, Basic Flight Instruments- Introduction of Radar- Requirement of Navigation

Unit-2
Teaching Hours:10
Aircrafts and Aeromodelling
 

Airfield Layout- Rules of the Air- Circuit Procedure ATC / RT Procedure Aircraft Controls- Fuselage – Main Tail Plane Ailerons- Elevators- Rudder –Landing Gear.

 Fighters- Transports- Helicopters- Foreign Aircraft History of Aero modelling- Materials used in Aero modelling - Types of Aero models

Unit-3
Teaching Hours:10
Aero Engines and Meteorology
 

Introduction of Aero engines - Types of Engines-Piston Engines -Jet Engines – Turboprop Engines, Importance of Meteorology in Aviation- Atmosphere - Clouds and Precipitation - Visibility – Humidity and Condensation

Text Books And Reference Books:

Text Books:

• Airwing Cadet Handbook, Specialized Subject SD/SW, Maxwell Press, 2016.

• Introduction to Aerospace Engineering: Basic Principles of Flight, Ethirajan Rathakrishnan, Wiley Press, 2021.

 

 

Essential Reading / Recommended Reading

Reference Books:

• An Observer’s Guide to Clouds and Weather, Toby Carlson, Paul Knight, and Celia Wyckoff,2015, American Meteorological Society.

• Aero Engines, LNVM Society, 2007, L.N.V.M. Society Group of Institutes. 

Evaluation Pattern

This Course do not have CIA 1/2/3. It has Overall CIA(out of 100 and will be Converted to 50) and ESE ( out of 100 and will be converted to 50). Total Marks=100.

BTGE637 - PROFESSIONAL PSYCHOLOGY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

1.     To understand various developmental changes that take place in human life and how people's thoughts, feelings, and behaviors are influenced by the social context consisting of actual, imagined, or implied presence of others.

2.     To develop interpersonal awareness and skills, especially in the context of diversity and   difference

3.      To develop the psychosocial skills required in the professional world

 

4.     To introduce the students to the existing theory and research in the past and contemporary social settings comprising viz, the intra-individual, inter-individual, and social factors that influence individual and group behavior.

Course Outcome

CO1: Understand the frameworks for the psychology of human development.

CO2: Show greater awareness of their thinking styles, relational styles and behavioral styles of functioning

CO3: Develop interpersonal awareness and skills, especially in the context of diversity and difference

CO4: Develop preparatory skills toward effective work-life balance

CO5: Develop an overall understanding of the psychosocial skills required in professional world

Unit-1
Teaching Hours:7
Introduction to Psychological Theories
 

                                                   

 

Psychosocial development (Erickson)-Development of Cognition (Piaget)-Moral Development (Kohlberg)-Faith Development (Fowler)

Unit-2
Teaching Hours:8
Self-Awareness and Analysis
 

Thinking Styles (Cognitive distortions)- Interpersonal relationship styles (adult attachment theories)- Personality styles (Jung type indicator or Myers Briggs Type Indicator)- Coping styles: Emotion-focused and Problem-focused Analysis: Self-Analysis – Analyzing others-Body language –Facial expressions

Unit-3
Teaching Hours:7
Social Influences
 

                                                                                 

Conformity: Asch’s Research on Conformity-Factors Affecting Conformity; Compliance -The Underlying Principles - Ingratiation;Obedience to Authority-Destructive Obedience

Unit-4
Teaching Hours:8
Approaches to work motivation and job design
 

                              Overview of motivation - Need theories - Expectancy theory – Justice and citizenship theories - Goal-setting theory - Goals and self -regulation - Self-concept and individual differences in motivation - Pay and motivation - Motivation through job redesign                                                        

 

 

Text Books And Reference Books:

Baron, R. A., (2012), Psychology,  5th edition. Pearson Education India

Baron, R. A., & Branscombe, N. R. (2006). Social psychology. Pearson Education India.

Nelson Goud and Abe Arkoff (2005), Psychology and Personal Growth, Edition, Allyn and Bacon.

Essential Reading / Recommended Reading

 Nelson Jones. (2006), Human Relationship skills: Coaching and self-coaching, 4th edition, Routledge. 

Evaluation Pattern

CIA-1

CIA-2(MSE)

CIA-1

ESE

TOTAL

20

50

20

50

100

1.     CIA =50 marks:   CIA1/2/3 Marks would be converted to 45 and 5 marks for attendance

2.     ESE would be for 50 marks

 

BTGE651 - DATA ANALYTICS THROUGH SPSS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description
Data Analysis using SPSS is specially designed to provide the requisite knowledge and skills in Data Analytics. The course covers concepts of Basics about Statistics, Data handling, Data Visualization, Statistical analysis, etc. This course will build a base for advance data analysis skills.

Course objectives

After the completion of the course, you should be able to:


a. Understand basic concepts of statistics and computer software SPSS
b. Select appropriate Statistical test for particular type of data
c. Recognize and interpret the output from statistical analysis

Course Outcome

CO1: Students will understand the concepts involved for analyzing Business data

CO2: Students will be able to understand how to use software like SPSS to analyse data

CO3: Students will be able to appreciate the use of Data Analytics for business decision making

Unit-1
Teaching Hours:2
Introduction to data Analysis
 

Introduction to Statistics and SPSS package viz.,, Types of data, data editing, coding, cleaning, outliers, missing data, import, export, data labeling, transforming data.

Unit-2
Teaching Hours:2
Data Visualization
 

Graphs, scatter plot, charts, frequency tables, histogram, Boxplot, pie chart, etc

Unit-3
Teaching Hours:4
Descriptive Statistics and Hypothesis testing
 

Basic statistics like mean, median, mode, SD, Examine relationship between variables example correlation, regression, etc., Compare groups to determine if there are significant differences between these groups example T-test, ANOVA etc., and to measure the association/independence using Chi-square., etc.

Unit-4
Teaching Hours:4
Logistic Regression
 

Application of logistic regression in SPSS using case study

Unit-5
Teaching Hours:4
Factor analysis
 

Application of factor analysis in SPSS using case study

Unit-6
Teaching Hours:14
Cluster Analysis and Discriminant analysis
 

 

Application of Cluster analysis and Discriminant in SPSS using case study

Text Books And Reference Books:

 

1.      Andy field, “Discovering Statistics Using SPSS”, SAGE Publications, Second Edition, 2006.

 

Essential Reading / Recommended Reading

 

1.      Darren George|Paul Mallery, “SPSS for Windows Step by Step”, Pearson, Tenth Edition, 2012.

 

Evaluation Pattern

 

CIA-1

Unit 1,2,3,4

Mid Term

Unit1,2,3,4,5

CIA-3

Unit 6

 

BTGE652 - DIGITAL MARKETING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

 

 

Course Description:

 

Developing a successful digital marketing strategy and implementation is both an art and science. It involves in-depth knowledge of dynamics of new media (Social Media, Mobile) and utilizing the right resources and marketing skills to design and launch successful customer engagement campaigns. Digital Marketing course has been designed to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives

 

Course Objectives:

 

·         To apply the basics of digital marketing in the contemporary business scenario

 

·         To utilize google ads for promotional activities

 

·         To contrast various social media marketing platforms and activities 

 

·         To analyse the search engine optimization and search engine marketing strategies

To explain analytics pertaining to digital marketing initiatives

 

Course Outcome

CO1: Plan a digital marketing campaign as per client requirements

CO2: Apply google ads in digital campaigns

CO3: Analyse the appropriateness of social media marketing strategies with respect to campaign objectives

CO4: Examine the search engine optimization efforts

CO5: Appraise the digital marketing analytics related to the project

Unit-1
Teaching Hours:5
Introduction to Digital Marketing
 

 

Digital Marketing: Origin of digital marketing; Traditional Vs Digital Marketing; Internet Users in India; Grehan’s 4Ps of digital marketing; The consumer decision journey; The P-O-E-M Framework; The digital landscape; Digital Marketing Plan.

Ethical Challenges: Frauds on the Web, Data and Identity Theft, Issue of Privacy. Information Technology Act, 2000.

Unit-2
Teaching Hours:6
Search Engine Marketing
 

 

Why pay for Search Advertising? Understanding Ad Placement; Understanding Ad ranks; Creating the first Ad campaign; Enhancing the Ad campaigns; Performance reports. Google Adsense.

Concept of Display Advertising; Types of display Ads; Buying Models; Display Plan; Targeting – Contextual targeting- Placement Targeting-Remarketing- Interest categories- Geographic Language Tagging; What makes a good Ad? Programmatic digital advertising; Analytics tools – viewability, on target reach, Ad fraud, Brand Health.

Unit-3
Teaching Hours:9
Social Media Marketing
 

 

How to build a successful social media strategy? Facebook Marketing- Facebook for Business-Anatomy of an Ad campaign – Adverts - Facebook Insights

 

Linkedin Marketing – Linkedin Strategy- Sales lead generation – Content Strategy – Linkedin Analytics – Targeting – Ad Campaign

 

Twitter Marketing – Getting started with Twitter – Building a content strategy – Twitter Ads – Twitter Analytics

Instagram Marketing – Objectives – Content Strategy – Style guidelines – Hashtags – Videos- Sponsored Ads – Apps – Generate leads           

Unit-4
Teaching Hours:6
e-mail Marketing and Search Engine Optimisation
 

 

e-mail Marketing – Building a List- Content Strategies – e-mail newsletter – Automating e-mail marketing- Analytics.

Search Engine Optimisation – How search engine works? SEO Phases; On page Optimisation; Off-page Optimisation; Social Media Reach; Maintenance

Unit-5
Teaching Hours:4
Mobile Marketing and Web Analytics
 

 

Mobile Advertising – Mobile Marketing toolkit – Mobile Marketing Features – Mobile Analytics

Web Analytics – Key Metrics – Making web analytics actionable – Types of tracking codes

Text Books And Reference Books:

1. Seema Gupta. (2020). Digital Marketing (2nd  Ed). Tata Mc Graw Hill

Essential Reading / Recommended Reading

 

1.      Kerpen, D., Berk, R., Greenbaum, M. (2019). Likeable social media, Third Edition: How To Delight Your Customers, Create an Irresistible Brand, & Be Generally Amazing On All Social Networks That Matter. United Kingdom: McGraw-Hill Education.

 

2.      Dr. Antony Puthussery (2020). Digital Marketing: An Overview. Notion Press.

 

3.      Herman, J., Butow, E., Allton, M., Liu, S., Robinson, A. (2020). Ultimate Guide to Social Media Marketing. United States: Entrepreneur Press.

 

4.      Marshall, P., Rhodes, M., Todd, B. (2020). Ultimate Guide to Google Ads. United States: Entrepreneur Press.

 

Evaluation Pattern

 

CIA 1 – Digital Marketing Plan – 20 Marks

 

CIA 2 – Google Ads – 10 Marks

 

CIA 3 – Social Media Marketing – 25 Marks

 

CIA 4 – Web Analysis (SEO) – 20 Marks

 

CIA 5 – Analytics – 20 Marks

 

Attendance – 5 Marks

 

CIA – Total Marks – 100 Converted to 50

 

ETE

 

Viva Voce – 50 Marks

 

Report – 50 Marks

 

ETE – 100 Marks – Converted to 50

Overall Marks – CIA + ESE = 100

 

BTGE653 - DIGITAL WRITING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course will develop the knowledge and skills required to write content for digital media. Students will learn how to craft writing for different areas of the media by focusing on genres such as profiles, informative pieces, articles and content pieces. Students will work on pitching and marketing ideas, discuss topics such as timelines, word counts and deadlines. The course will also examine the principles of reporting and the legal and ethical issues associated with content writing

 

The course intends to provide students with an in-depth understanding of the nature of digital content. The course will acquaint students with the techniques of writing simple but polished digital content. The subject will develop creativity in writing and imaginative approaches to digital content writing. The paper will help students understand the mechanics of content writing

Course Outcome

CO1: Students will learn how to write digital content for websites, blogs, and general social networking sites

CO2: Students will learn the importance of using hyperlinks to information sources when writing an article

CO3: Students will be able to differentiate between original and plagiarized content and develop mechanisms to avoid plagiarism

Unit-1
Teaching Hours:6
Introduction to Digital Writing
 

What is online writing, Narrative structure for online and digital stories, writing for university publications, Copyright, Ownership, and authorship, Approach to digital storytelling, Interactive narratives, sourcing information, exploring transmedia stories, data visualization, online identities and the self, alternate realities

Unit-2
Teaching Hours:6
Writing Techniques
 

Online news writing, headlines, sentences, links, tables and infographics, meaningful linking, effective illustrations, content strategy, message, media, style and tone, purposes, personas and scenarios

Unit-3
Teaching Hours:6
Writing for Newspapers
 

Journalistic writing-nature, process and styles, Concept of news-definitions, news values, nose for news, News writing- elements of news stories-Lead, body & closure; 5 Ws & 1 H, News writing structures- pyramid, inverted pyramid, hourglass, chronological, Newspaper design, Anatomy of a newspaper, Typography-font type, anatomy of type, type families, Readability & aesthetic principles, Page layout & design

Unit-4
Teaching Hours:6
Writing a Book Proposal
 

Process of book publishing, understanding book proposal, the importance of book proposal, book proposal structure, steps for writing a book proposal, some common mistakes made when writing a book proposal.

Unit-5
Teaching Hours:6
Writing Resume and Cover
 

Introduction to resume, the 3Fs of resume writing, parts of a resume, difference between CV and resume, characteristics of a good resume, anatomy of a resume, common mistakes made while writing a resume, introduction to cover letter, writing a cover letter for a job application, writing a cover letter for a book proposal, common mistakes made while writing a cover letter

Text Books And Reference Books:
  1. Peter Clark, Roy. How to Write Short: Word Craft for Fast Times. Little Brown and Company. ISBN 0316204323.

 

  1. Carroll, Brian. Writing and Editing for Digital Media, 1st edition. ISBN 978-0-415-99201-5. Routledge.

 

  1. Writing New Media Theory and Applications for Expanding the Teaching of Composition; Anne Frances Wysocki, Johndan Johnson-Eilola, Cynthia L. Selfe, & Geoffrey Sirc Publication Year: 2004.
Essential Reading / Recommended Reading
  1. Online Journalism: Reporting, Writing and Editing for New Media, Richard Craig.

 

  1. Broadcast News Handbook: Writing, Reporting & Producing in a Converging Media World 2007, Third Edition, C.A. Tuggle,  Forrest Carr and Suzanne Huffman
Evaluation Pattern

Introduction - 10

Content - 10

Structure - 10

Clarity- 10

Conclusion -10

BTGE654 - PHOTOGRAPHY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course introduces the art of photographic image making and printing. You will learn to see and appreciate light in a new way, learn to see and design shapes in the frame, and you will learn how to make fine prints. In this course, you will learn how to properly expose the camera, how to develop good images, and to make beautiful exhibition prints. This is not merely a technical course however the most important thing you can bring away from this course is a new sense of seeing. To be able to have a finer appreciation of light in its myriad manifestations, to discover meaning in images rather than words, or most importantly, how to make images, important and powerful in their own right, rather than merely “take pictures” is the main goal of this course.

Course Outcome

CO1: Ability to demonstrate understanding and clarity in content. Ability to read and interpretate photographs Ability to demonstrate knowledge of visual design and art.

CO2: Ability to demonstrate technical documentation of knowledge attained, process involved. Ability to read and interpretate photographs Ability to demonstrate knowledge of visual design and art.

CO3: Ability to demonstrate Quality and Comprehensiveness. Ability to read and interpretate photographs Ability to demonstrate understanding of material, structure and details and graphical understanding.

Unit-1
Teaching Hours:10
Introduction of Photography
 

Exposure to a variety of Analog and digital photographic techniques.

Basics of shots, sizes, and angles. Technical aspects such as exposure triangle, composition, framing, and introduction to lighting.

Printing The enlarger, set up, timer use, enlarging lenses, the test strip, developing procedures, contrast control with variable contrast filters, spotting and matting, archival processing. 

Unit-2
Teaching Hours:8
Photographic Design
 

Introduction to contemporary and historic photographers and their works.

Understanding and applying visual design elements and principles in photography. 

Unit-3
Teaching Hours:8
Appreciation of photography
 

Multiple photographic practices such as documentary photography, fine art photography and fashion photography, product photography and architecture photography.

Moral and theoretical issues attached to the medium, such as photography’s relationships between truth, beauty, and fact, as well as the ethics of war photography.

Unit-4
Teaching Hours:4
Print media and Portfolio
 

Introduction to Print medium.

Portfolios (Digital Format)

Text Books And Reference Books:

1.      Schaeffer J. P. (1998) The Ansel Adams guide: Basic techniques of photography, Boston: Little Brown and Company.

2.      Horenstein, H. (1977) Beyond Basic Photography: A Technical Manual, Boston: Little Brown and Company.

 

3.      Craven, G. M.(1990) Object and Image: An Introduction to Photography, New Jersey: Prentice-Hall, Englewood Cliffs.

Essential Reading / Recommended Reading

1.      Peterson, B. (2016) Understanding Exposure, Fourth Edition, Random House USA Inc.

2.      DK (2015) Digital Photography Complete Course, DK; Reissue edition.

3.      Northrup T. & Northrup C. (2012) Tony Northrup's DSLR Book: How to Create Stunning Digital Photography, (2nd edition) Mason Press.

4.      Hunter, F., Biver S. & Fuqua P. (2015) Light Science & Magic: An Introduction to Photographic Lighting, Routledge, ISBN-10: 0415719402.

 

5.      Peterson B. (2017) Understanding Colour in Photography: Using Colour, Composition, and Exposure to Create Vivid Photos, Random House US, ISBN-10 : 9780770433116 

Evaluation Pattern

The assessment pattern comprises of two components; the Continuous Internal Assessment (CIA) and the End Semester Examination (ESE). The weightage of marks for subjects having both CIA marks, as well as ESE marks, have a ratio of 50:50.

CONTINUOUS INTERNAL ASSESSMENT (CIA): 50%

Continuous Internal Assessment for this course  shall be conducted by the respective faculty in the form of different types of assignments. Students need to complete the assignments within the stipulated time for the award of marks.
A minimum of 50% in the CIA is required to appear for the End Semester Examination (ESE) of the course
Total CIA - 50 Marks

END SEMESTER EXAMINATION (ESE): 50%

Eligibility to appear for ESE is a score of a minimum of 50% in the CIA.
The course shall have a Viva Voce evaluated by an external examiner and internal examiner of the portfolio presentation.
Total ESE - 50 Marks

PASS CRITERIA

A student shall pass the course only on a minimum aggregate score (CIA+ESE) of 45% and a minimum CIA Score of 50% and an ESE score of 40%

BTGE655 - ACTING COURSE (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

In this course the students are introduced different aspects of acting such as creating a character,

analyzing a script, working on voice and developing body language. At the end of the course the learners

will perform a monologue.

The course aims at the study and practice of Classical Acting. The development of individual imagination,

insight, skills and disciplines in the presentation of drama to audience.

Course Outcome

• To gain an understanding of acting principles and techniques

• Develop skills in the analysis and interpretation of dramatic texts for performance

• Explore basic voice and movement skills to create dramatic effect on stage

• Understand the basic production processes

• To perform a monologue

Unit-1
Teaching Hours:10
Unit 1
 

Inner characterization: History of acting, First performance,Art representation vs art of experiencing, Characterization and actor’s notebook, Stanislavski’s system, Objective and super-objective, Working with a script

 

 

Unit-2
Teaching Hours:10
Unit 2
 

Outer characterization : Stanislavski’s system., Method of physical actions, Building character’s body language, Building character’s voice, 

 

Unit-3
Teaching Hours:10
Unit 3
 

Performing a Monologue: Theatrical etude, Working with props, sets, light and costume, Creating atmosphere, Run-through, 

Text Books And Reference Books:

Stanislavsky, Constantine. “An Actor prepares.”

Essential Reading / Recommended Reading

Stanislavsky, Constantine. “An Actor prepares.”

Evaluation Pattern

The assessment of the students is happening throughout the course and will be completed with the final monologue performance. 

 

The assignments need to be submitted via Google Classroom by the given deadlines. 

Actor’s notebooks need to follow the given requirements. 

Monologues will be performed live.

 

Completing all the given assignments throughout the course –20 marks

Submission of actor’s notebook – 20 marks

Final monologue performance – 60 marks 

BTGE656 - CREATIVITY AND INNOVATION (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

To equip students with skill and aptitude for creativity and innovation through

  1. Analyzing Problems:

To stimulate curiosity in students to identify the areas of gaps and opportunities and solutions that can be provided

  1. Creating Ideas:

To stimulate creativity in students to come up with ideas for the areas of gaps and opportunities

  1. To understand the creative process: Smart storming 

  2. Engineering Solutions: To understand Proof of Concept, Minimum Viable Proposition, and the Rapid Iteration Process

Course Outcome

CO-1: Develop an aptitude for creative thinking and problem solving in the areas that drive their interest.

CO-2: Understand the benefits of team work and collaborative thinking

CO-3: Understand the three keys aspects of the creative process viz. ACES

CO-4: Develop projects to understand the various principles and elements of creativity and innovation

CO-5: Apply the concepts of IPR to verify the projects which may be patentable, design and copyright protected

Unit-1
Teaching Hours:6
Introduction
 

Creativity & Innovation, A journey through major breakthrough innovations around the world., Collaborative Creativity

Unit-2
Teaching Hours:6
The Creative Process Part I (Analyzing Problems)
 

Analyzing Problems (Smart Storming), Theory and practice, Rethinking Thinking Imagination Observing, Abstracting, Recognizing Patterns, Forming Patterns

Unit-3
Teaching Hours:6
The Creative Process Part II (Creating Ideas)
 

Creative Thinking Techniques and Methods, Body Thinking, Empathizing (Design Thinking), 

 

Dimensional Thinking Evolution and Evaluation of Ideas through design Thinking

Unit-4
Teaching Hours:6
The Creative Process Part III (Engineering Solutions)
 

Proof of Concept, Minimum Viable Proposition, Rapid Iteration Process

Unit-5
Teaching Hours:6
Innovation and IPR
 

Patents, Designs, Copyrights, Geographical Indications, Trademarks, Trade Secret

Text Books And Reference Books:

 Activity Based Teaching. No text books and reference books

Essential Reading / Recommended Reading

 Activity Based Teaching. No text books and reference books

Evaluation Pattern

This course consists of Overall Cia for 100 marks. No End Semester Examination for this course.

BTGE657 - PAINTING AND SKETCHING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course will develop the skills required to represent elements of nature and surrounding objects. Students will learn how to use the appropriate medium for representing their thought process. The course will examine the representation skills through exercises on sketching and rendering.

Course Outcome

CO3: Students will learn how to represent their ideas and thought processes diagrammatically through sketching and rendering.

Unit-1
Teaching Hours:10
Representation through Sketching
 

 

This unit will look at sketching as a medium to represent ideas and thought processes. Freehand Drawing Techniques, Landscape drawing .

Unit-2
Teaching Hours:10
Introduction to Watercolour Painting Techniques
 

 

Execute simple exercises in Collages to understand Flat Wash, Graded Wash, Wet on Dry, Wet on Wet. Techniques of Blooming, Splattering, Sponging will be used as a medium of representation. Study of brush strokes as a finish.How 

Unit-3
Teaching Hours:10
Introduction to Soft Pastel Techniques
 

To create simple elements in nature Plants, Different types of Trees,water bodies in architecture. etc.

Text Books And Reference Books:

Drawing : (Ching, Francis D K)

Rendering With Pen and Ink / (Gill Robet W)
Essential Reading / Recommended Reading

milind mulick watercolor

sketchbook by milind mulick

 

Evaluation Pattern

The following courses do not have ESE. It has only Overall CIA (out of 100). This will be treated as the final ESE mark. Total mark = 100.

BTGE658 - DESIGN THINKING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description:

Throughout the course students will work on three different challenges; one focused on product design, one focused on service design and one focused on systems or business design. By starting with a very tangible challenge around product design, students will be able to hone their skills in the process before moving into more complex challenges around business and systems level design.

 

The course will be teamwork-oriented, but students will also complete readings and independent activities that support the group work and ensure individual depth of knowledge.

 

Course objectives:  

Expose students to the design process as a tool for innovation.

Develop students’ professional skills in client management and communication.

Demonstrate the value of developing a local network and assist students in making lasting connections with the business community.

Students develop a portfolio of work to set them apart in the job market.

Provide an authentic opportunity for students to develop teamwork and leadership skills.

Course Outcome

CO1: Design Process 1. Students develop a strong understanding of the Design Process and how it can be applied in a variety of business settings 2. Students learn to research and understand the unique needs of a company around specific challenges 3. Students learn to build empathy for target audiences from different ?cultures? 4. Students learn to develop and test innovative ideas through a rapid iteration cycle 5. Students learn how to create physical prototypes / a visual representation of an idea 6. Students develop the willingness to take a risk and the ability to deal with failure

CO2: Professionalism 1. Students develop professional interpersonal and presentation skills 2. Students develop professional communication skills such as interviewing and crafting professional emails 3. Students learn to take ownership of the quality of their work and final products 4. Students understand their duty to maintain ethical standards in product and strategy design 5. Students understand the value of and have tools to develop a strong network

CO3: Leadership and teamwork 1. Students develop self awareness of personal leadership style and how to effectively work as a member of a team 2. Students collaborate on a variety of projects 3. Students develop communication skills necessary to facilitate high performance team formation and maintenance (e.g., leveraging the skills and abilities of all team members, valuing cross-disciplinary/cultural contributions, engaging in difficult conversations and resolving conflict)

Unit-1
Teaching Hours:10
Module 1: Intro to Design Thinking and Product Design
 

Introduction to Design Thinking

Introduction to Design Research Strategies

Introduction to Synthesis

Introduction to Ideation and Prototyping Strategies

Unit-2
Teaching Hours:10
Module 2: Team Work and Service Design
 

Team work discussion + Launch of Service challenge

Design Research - tools for observation + immersion

Journey mapping and ideation

Develop Final Presentations

Final Presentations and Leadership Styles discussion

Unit-3
Teaching Hours:10
Module 3: Business or Systems Design
 

Launch final challenge – system or student challenge

Business Model Canvas and Design Research

Visualizing ideas

Communicating ideas and effective storytelling

Final Presentations and class celebration

Text Books And Reference Books:

Essential References:

1. Design Your Thinking: The Mindsets, Toolsets and Skill Sets for Creative Problem-solving Hardcover – 23 December 2020, by Pavan Soni.

2. The Design Thinking Toolbox: A Guide to Mastering the Most Popular and Valuable Innovation Methods, by Michael Lewrick, Patrick Link, Larry Leifer.

3. Design Thinking: Understanding How Designers Think and Work, by Nigel Cross, BERG, Oxford, Newyork.

Essential Reading / Recommended Reading

Recommended References:

1. HBR's 10 Must Reads on Design Thinking (with featured article "Design Thinking" By Tim Brown) Paperback – 10 August 2020, by  Publisher ‏ : ‎ Harvard Business Review Press (10 August 2020); Penguin Random House.

2. Change by Design, Revised and Updated: How Design Thinking Transforms Organizations and Inspires Innovation,  by Tim Brown. Publisher HarperCollins, 2019; ISBN 0062856715, 9780062856715.

3. This is Service Design Thinking: Basics, Tools, Cases, by Marc Stickdorn, Jakob Schneider, Publisher BIS Publ., 2012; ISBN 906369279X, 9789063692797

Evaluation Pattern

Evaluation Pattern:

This courses do not have CIA-1-2-3 and ESE. It has only Overall CIA (out of 100). This will be treated as the final ESE.

 

The following case studies will be given for the evaluation of overall CIA.

 

1. Case Studies focused on product design.

2. Case Studies focused on service design.

3. Case Studies focused on systems or business design.

RM631P - DIGITAL MANUFACTURING (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The objective is to transform product ideas into viable products: hand sketching; fundamental engineering design principles and procedures; design, analysis and optimization of parts using CAD, CAM, CAE technologies; implementation of additive manufacturing; and reverse engineering complete processes.

Course Outcome

CO1: Identify different axes, machine zero, home position, systems and controls CNC machines. {L1}

CO2: Apply ideas of product design using 2D sketches, 3D modelling, parametric design and assembly modelling. {L2}

CO3: Understand general stages of the process, solid and FEA models, materials definition, loading, post-processing, results and verifications. {L2}

CO4: Interface software application for auto part programming. {L2}

CO5: Understand digitizing methods and main technologies: applications and selection of reverse engineering systems. {L2}

Unit-1
Teaching Hours:9
Fundamentals of process planning and CNC systems:
 

Introduction to Computer Numerical Control: CNC Systems – An Overview of Fundamental aspects of machine control, Different types of CNC machines – Advantages and disadvantages of CNC machines. Process planning, Structure of process plan, factors influencing process plan, Sequence of operation of process, CAM, NC, CNC and DNC, selection criteria for CNC machines, adaptive control

Unit-2
Teaching Hours:9
Additive Manufacturing processes ? Engineering polymers, metals, ceramics:
 

Stereolithography, Selective Laser Sintering, Fused Deposition Modeling, Polyjet, LENS, Layered object manufacturing

Additive Manufacturing processes – Advanced materials:

 

Electronic Materials, Bioprinting, Food Printing

Unit-3
Teaching Hours:9
2D Cutting and CAD
 

2D Cutting: Laser Cutting, Plasma Cutting, Waterjet

Programmable Assembly: Digital Assembly, Digital Bending

Computer Aided Design (CAD): 3D modelling, Parametric design, Assembly modelling, Render the appearance of a product, CAD and additive manufacturing

Unit-4
Teaching Hours:9
Computer Aided Engineering (CAE)
 

Finite Element Analysis (FEA) to validate functional performance: general stages of the process, solid and FEA models, materials definition, loading (loads, displacements constraints…), post-processing, results and verifications. Topology optimization in additive manufacturing.

Unit-5
Teaching Hours:9
Reverse engineering General methodology:
 

Point clouds, meshes (.stl), NURBS surface models and parametric CAD models. Digitizing methods and main technologies: applications and selection of reverse engineering systems. Hardware and software involved. Reverse engineering and additive manufacturing.

Text Books And Reference Books:

T1. K. T. Ulrich and S. D. Eppinger, Product Design and Development, 6th Ed., McGraw-Hill Education, 2015. ISBN-13: 978-0-078-02906-6

T2. Parametric Technology Corporation (PTC), Simulation using Creo Parametric user guides.

T3. Raja and K. J. Fernandes (eds.), Reverse Engineering. An Industrial Perspective, 1st Ed., Springer-Verlag London, 2008. ISBN-13: 978-1-849-96660-3

T4. N. Hopkinson, R. J. M. Hague and P. M. Dickens (eds.), Rapid Manufacturing: An Industrial Revolution for the Digital Age, 1st Ed., John Wiley & Sons, 2005. ISBN-13: 978-0-470-01613-8

T5. P.N.Rao, N.K.Tiwari, T. Kundra, Computer Aided Manufacturing, Tata McGraw Hill, New Delhi,2014.

T6. O.P.Khanna, Industrial Engineering, Dhanpat rai, New Delhi, 2012.

Essential Reading / Recommended Reading

R1. M. P. Groover, Automation, Production Systems and Computer Integrated Manufacturing, Pearson education, Fourth Edition, 2016.

R2. S.K.Vajpayee, Principles of CIM, PHI, 1995.

R3. Z. Zhou, S. Xie, and D. Chen, Fundamentals of Digital Manufacturing Science, 1st Ed., Springer-Verlag London, 2012. ISBN-13: 978-1-447-12714-7

R4.  Gibson, D. W. Rosen, and B. Stucker, Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing. Springer-Verlag Boston, 2010. ISBN-13: 978-1-441-91119-3

Evaluation Pattern

COURSES WITH THEORY AND PRACTICAL

 

Component

Assessed for

Minimum marks

to pass

Maximum

marks

1

Theory CIA

30

-

30

2

Theory ESE

30

12

30

3

Practical CIA

35

14

35

4

Attendance

05

-

05

4

Aggregate

100

40

100

 

DETAIL OF MARK FOR COURSES WITH THOERY AND PRACTICAL

THEORY

PRACTICAL

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

Component

Assessed for

Scaled down to

Min.

marks

Max. marks

1

CIA-1

20

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50

10

-

10

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100

30

12

30

ESE

NA

NA

-

-

 

 

TOTAL

65

-

65

TOTAL

 

35

14

35

     Minimum marks required to pass in practical component is 40%.

     Pass in practical component is eligibility criteria to attend Theory End semester examination for the same course.

     A minimum of 40 % required to pass in ESE -Theory component of a course.

     Overall 40 % aggregate marks in Theory & practical component, is required to pass a course.

     There is no minimum pass marks for the Theory - CIA component.

     Less than 40% in practical component is refereed as FAIL.

     Less than 40% in Theory ESE is declared as fail in the theory component.

     Students who failed in theory ESE have to attend only theory ESE to pass in the course

RM632 - ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course should enable the student

1. To understand the representation of AI techniques, agents and agent environments.

2. To study about applications of AI and ML techniques

3. To know the knowledge representation and learning

4. To enable the students to apply these techniques in application which involve perception, reasoning and learning

5. To apply the working of Neural Network techniques

Course Outcome

CO1: Explain the fundamental knowledge of AI and Intelligent agents (L2)

CO2: Describe the various learning models with real-time scenarios (L2)

CO3: Construct various learning models using python (L3)

CO4: Experiment with the working of several neural networks with case studies (L3

CO5: Examine the applications of AI in various sectors and its research aspects (L4)

Unit-1
Teaching Hours:9
INTRODUCTION TO AI
 

Definition of AI, Types of environment, Types of agents, Performance measure, Environment, Actuators, Sensors, AI and society – Applications and Limitations

Unit-2
Teaching Hours:9
INTRODUCTION TO ML
 

Basic definitions, types of learning, hypothesis space and inductive bias, evaluation, cross-validation, Case studies using ML in real world

Unit-3
Teaching Hours:9
SUPERVISED AND UNSUPERVISED LEARNING
 

Linear Regression – Logistic Regression, SVM Classifier, K-means clustering - KNN (k-nearest neighbors) – Performance Metrics and Errors

Unit-4
Teaching Hours:9
INTRODUCTION TO NEURAL NETWORKS
 

Biological Neural Networks - Artificial Neural Networks – Introduction to Convolutional Neural Networks - Convolution operations – Pooling - Image classification - Modern CNN architectures

Unit-5
Teaching Hours:9
CASE STUDIES
 

Case Study Discussions on Autonomous driving, Computer Vision in Industrial Automation - AI in Manufacturing – AI in Smart cities

Text Books And Reference Books:

T1. Martin C. Brown,”Python: The Complete Reference”, McGraw Hill Education; Forth edition (20 March 2018)

T2. Wolfgang Ertel. “Introduction to Artificial Intelligence”, Springer; 2nd edition (2017)

T3. Bharath Ramsundar, Reza Bosagh Zadeh. “TensorFlow for Deep Learning”, O'Reilly Media, Inc., March 2018.

T4. EthemAlpaydin, ―Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press 2004.

Essential Reading / Recommended Reading

R1. Nils J. Nilsson, ―Artificial Intelligence: A new Synthesis‖, Harcourt Asia Pvt. Ltd., 2000.

R2. Elaine Rich and Kevin Knight, ―Artificial Intelligence‖, 2nd Edition, Tata McGraw-Hill, 2003.

R3. George F. Luger, ―Artificial Intelligence-Structures And Strategies For Complex Problem Solving‖, Pearson Education / PHI, 2002.

R4. Janakiraman, K. Sarukesi,  ̳Foundations of Artificial Intelligence and Expert Systems‘, Macmillan Series in Computer Science.

R5. W. Patterson,  ̳Introduction to Artificial Intelligence and Expert Systems‘, Prentice Hall of India, 2003

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE {without practical component}

     Continuous Internal Assessment {CIA} : 50% {50 marks out of 100 marks}

     End Semester Examination{ESE}         : 50% {50 marks out of 100 marks}

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                      : 10 marks

CIA II  :   Mid Semester Examination {Theory}                    : 25 marks                  

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications                                                                                              : 10 marks

Attendance                                                                             : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination {MSE} : Theory Papers:

     The MSE is conducted for 50 marks of 2 hours duration.

     Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination {ESE}:

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year.

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

25 % - Complex level questions

RM633 - FIELD AND SERVICE ROBOTS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

At the end of the course, the students would be able

     To study the various parts of robots and fields of robotics.

     To study about the localization, planning and navigation.

     To study the control of robots for some specific applications.

 

     To study about the humanoid robots.

Course Outcome

CO1: Explain the basic concepts of working of robot (L2)

CO2: Analyze the function of sensors in the robot (L4)

CO3: Apply of robot programming methods for robotic applications. (L3)

CO4: Explain use of robots in different applications (L2)

CO5: Describe about the humanoid robots. (L2)

Unit-1
Teaching Hours:9
INTRODUCTION:
 

History of service robotics – Present status and future trends – Need for service robots – applications examples and Specifications of service and field Robots. Non-conventional Industrial robots.

Unit-2
Teaching Hours:9
LOCALIZATION:
 

LOCALIZATION: Challenges of Localization- Map Representation- Probabilistic Map based Localization-Monte carlo localization- Landmark based navigation-Globally unique localization- Positioning beacon systems- Route based localization.

 

PLANNING AND NAVIGATION-Path planning overview- Road map path planning- Cell decomposition path planning-Potential field path planning-Obstacle avoidance - Case studies: tiered robot architectures.

Unit-3
Teaching Hours:9
FIELD ROBOTS
 

Ariel robots- Collision avoidance-Robots for agriculture, mining, exploration, underwater, civilian and military applications, nuclear applications, Space applications.

Unit-4
Teaching Hours:10
HUMANOIDS
 

Wheeled and legged, Legged locomotion and balance, Arm movement, Gaze and auditory orientation control, Facial expression, Hands and manipulation, Sound and speech generation, Motion capture/Learning from demonstration, Human activity recognition using vision, touch, sound, Vision, Tactile Sensing, Models of emotion and motivation. Performance, Interaction, Safety and robustness,

Applications, Case studies

Unit-5
Teaching Hours:8
Basic Introduction about Micro Robotics
 

Basic Introduction about Micro Robotics, Cognitive Robotics, Cloud Robotics, Medical Robotics, Swarm Robotics

Text Books And Reference Books:

T1. Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza, Introduction to Autonomous Mobile Robots”, Bradford Company Scituate, USA, 2004

T2. Riadh Siaer, „The future of Humanoid Robots- Research and applications, Intech Publications, 2012.

 

T3. Kelly, Alonzo; Iagnemma, Karl; Howard, Andrew, "Field and Service Robotics ", Springer, 2011

Essential Reading / Recommended Reading

R1. Richard D Klafter, Thomas A Chmielewski, Michael Negin, Robotics Engineering – An Integrated Approach, Eastern Economy Edition, Prentice Hall of India P Ltd., 2006.

 

 

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE {without practical component}

     Continuous Internal Assessment {CIA} : 50% {50 marks out of 100 marks}

     End Semester Examination{ESE}         : 50% {50 marks out of 100 marks}

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                      : 10 marks

CIA II  :   Mid Semester Examination {Theory}                    : 25 marks                  

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications                                                                                              : 10 marks

Attendance                                                                             : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination {MSE} : Theory Papers:

     The MSE is conducted for 50 marks of 2 hours duration.

     Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination {ESE}:

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year.

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

 

25 % - Complex level questions 

RM637 - SERVICE LEARNING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

1. To develop a habit of critical reflection for life-long learning in solving societal problems.

2. To work with a community and identify a specific need that can be addressed through Involvement and engineering practices.

Course Outcome

CO1: Integrates the academic work with community service through student involvement. [L3] [PO1, PO2, PO3, PO4, PO12].

CO2: Develop and implement a project designed to respond to that identified community need. [L3] [PO1, PO2, PO3, PO4, PO12].

CO3: Create an awareness among the students as responsible citizen of the community/society. [L3] [PO1, PO2, PO3, PO4, PO12].

Unit-1
Teaching Hours:30
Service Learning
 

MODULE – I:   Solid waste Management  (Theory –6;  Field Work -24 )

 

Sources of solid wastes: Types and Sources of solid wastes. Need for solid waste management. Elements of integrated waste management and roles of stakeholders. Salient features of Indian legislations on management and handling of municipal solid wastes, plastics and fly ash.

Collection & segregation: Handling and segregation of wastes at source. Storage and collection of municipal solid wastes. Analysis of Collection systems. Need for transfer and transport. Transfer stations Optimizing waste allocation. Compatibility, storage, labelling wastes.

 

(OR)

 

MODULE– II:    Managing stagnant Ponds  (Theory –6;  Field Work -24)

 

Purification of stagnant ponds :Introduction to Microbiology : Microbial ecology and Growth kinetics; Types of microorganisms ; aerobic vs. anaerobic processes

Biological Unit Processes :Aerobic treatment; Suspended growth aerobic treatment

processes; Activated sludge process and its modifications; Attached growth aerobic processes; Tricking filters and Rotating biological contactors; Anaerobic treatment; suspended growth, attached growth, fluidized bed and sludge blanket systems; nitrification, denitrification; Phosphorus removal.

 

Sludge Treatment: Thickening; Digestion; Dewatering; Sludge drying; Composting

Natural Wastewater Treatment Systems: Ponds systems.

 

(OR)

 

MODULE – III:   Solar power (Theory – 6;  Field Work - 24)

 

Solar energy: Global and National scenarios, Form and characteristics of renewable energy sources, Solar radiation, its measurements and prediction, Solar thermal collectors, flat plate collectors, concentrating collectors, Basic theory of flat plate collectors, solar heating of buildings, solar still, solar water heaters, solar driers; conversion of heat energy in to mechanical energy, solar thermal power generation systems

 

Solar photovoltaic: Principle of photovoltaic conversion of solar energy, types of solar cells and fabrication. Photovoltaic applications: battery charger, domestic lighting, street lighting, water pumping, power generation schemes, Basic concepts of Solar power, Solar cells. Applications of Solar-in Hospitals, automobiles, Air cooling, water cooling, Domestic Power generation, Industrial power generation, Traffic signals, Electronic equipments, refrigeration.

(OR)

 

MODULE – IV:   Atmospheric pollution (Theory –6;  Field Work -24 )

Managing atmospheric pollution:           Introduction to Atmospheric pollution-sources and causes. Methods of reducing pollution from vehicles, industries, domestic, urban and rural sources. Devising innovative pollution control devices& methods -filters, bags, traps, separators.

Text Books And Reference Books:

T1.       S. P. Sukhatme, “Solar Energy, Principles of Thermal Collection and Storage,” 6th Edition, Tata McGraw Hill Publishing Company Limited, New Delhi, 1990

T2.       George Techobanoglous, “Integrated Solid Waste Management” McGraw - Hill, 1993.

T3.       R.E.Landrefh and P.A.Rebers,” Municipal Solid Wastes-Problems & Solutions”, Lewis, 1997.

T4.       Michael Allaby, “Fog, Smog and poisoned rain”, Facts on File Incorporation, 2002. ISBN:0-8160-4789-8

T5.       Arceivala S. J. and Asolekar S. R., Wastewater Treatment for Pollution Control and Reuse. 3rd Edition, Tata McGraw Hill, New Delhi, 2015.

Essential Reading / Recommended Reading

R1.  George Techobanoglous and Thiesen Ellasen, “Solid Waste Engineering Principles and Management”, Tata-McGraw – Hill, 1997.

R2. Blide A.D. and Sundaresan, B.B., “Solid Waste Management in Developing Countries”, INSDOC, 1993.

R3. Arun Kumar Jain, Ashok Kumar Jain, B.C., Punmia, “Wastewater Engineering (Environmental Engineering-II), (Including Air Pollution)”, Laxmi Publications Pvt. Ltd., 2014, ISBN 10: 8131805964, ISBN 13: 9788131805961.

Evaluation Pattern

 

Category

Weightage for CIA

1

Courses with only Practical

50

 

RM644E3 - MOBILE APPLICATION DEVELOPMENT (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course should enable the students to:

Understand system requirements for mobile applications

Generate suitable design using specific mobile development frameworks

Generate mobile application design

Implement the design using specific mobile development frameworks

Deploy the mobile applications in marketplace for distribution

Course Outcome

CO1: Explain the challenges in mobile application design and development{L1}

CO2: Develop design for mobile applications for specific requirements {L2}

CO3: Implement the design using Objective C and iOS {L3}

CO4: Implement the design using Android SDK {L3}

CO5: Deploy mobile applications in Android and iPhone marketplace for distribution{L2}

Unit-1
Teaching Hours:9
Introduction
 

Introduction to mobile applications – Embedded systems - Market and business drivers for mobile applications – Publishing and delivery of mobile applications – Requirements gathering and validation for mobile applications

Unit-2
Teaching Hours:9
Basic Design
 

Introduction – Basics of embedded systems design – Embedded OS - Design constraints for mobile applications, both hardware and software related – Architecting mobile applications – user interfaces for mobile applications – touch events and gestures – Achieving quality constraints – performance, usability, security, availability and modifiability

Unit-3
Teaching Hours:9
Advanced Design
 

Designing applications with multimedia and web access capabilities – Integration with GPS and social media networking applications – Accessing applications hosted in a cloud computing environment – Design patterns for mobile applications

Unit-4
Teaching Hours:9
Technology I ? Android
 

Introduction – Establishing the development environment – Android architecture – Activities and views – Interacting with UI – Persisting data using SQLite – Packaging and deployment – Interaction with server-side applications – Using Google Maps, GPS and Wifi – Integration with social media applications.

 

Unit-5
Teaching Hours:9
Technology Ii - IOS
 

Introduction to Objective C – iOS features – UI implementation – Touch frameworks – Data persistence using Core Data and SQLite – Location aware applications using Core Location and Map Kit – Integrating calendar and address book with social media application – Using Wifi - iPhone marketplace.

Text Books And Reference Books:

T1.  Jeff McWherter and Scott Gowell, "Professional Mobile Application Development", Wrox, 2012

T2.  Charlie Collins, Michael Galpin and Matthias Kappler, “Android in Practice”, DreamTech, 2012.

Essential Reading / Recommended Reading

R1. James Dovey and Ash Furrow, “Beginning Objective C”, Apress, 2012

R2. David Mark, Jack Nutting, Jeff LaMarche and Frederic Olsson, “Beginning iOS 6 Development: Exploring the iOS SDK”, Apress, 2013. 

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE {without practical component}

     Continuous Internal Assessment {CIA} : 50% {50 marks out of 100 marks}

     End Semester Examination{ESE}         : 50% {50 marks out of 100 marks}

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                      : 10 marks

CIA II  :   Mid Semester Examination {Theory}                    : 25 marks                  

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications                                                                                              : 10 marks

Attendance                                                                             : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination {MSE} : Theory Papers:

     The MSE is conducted for 50 marks of 2 hours duration.

     Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination {ESE}:

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year.

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

 

25 % - Complex level questions 

RM644E5 - WIRELESS SENSOR NETWORKS FOR ROBOTICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course should enable the students:

        To know the basic knowledge about wireless sensor networks

        To impart knowledge in networking using sensors

        To know about the tools used in networking

        To understand the basic in wireless architecture

        To know about the different techniques used in networking

Course Outcome

CO1: Ability to know about the different techniques used in networking. (L2)

CO2: To expose basic knowledge about wireless sensor networks. (L2)

CO3: Ability to know about the tools in networking. (L2)

CO4: Understand the basic in wireless architecture. (L2)

CO5: Ability to know about the protocols used in networking. (L2)

Unit-1
Teaching Hours:8
OVERVIEW OF WIRELESS SENSOR NETWORKS
 

Challenges for Wireless Sensor Networks, Enabling Technologies For Wireless Sensor Networks.

Unit-2
Teaching Hours:9
ARCHITECTURES
 

Single-Node Architecture - Hardware Components, Energy Consumption of Sensor Nodes , Operating Systems and Execution Environments, Network Architecture -Sensor Network Scenarios, Optimization Goals and Figures of Merit, Gateway Concepts.

Unit-3
Teaching Hours:10
NETWORKING SENSORS
 

Physical Layer and Transceiver Design Considerations, MAC Protocols for Wireless Sensor Networks, Low Duty Cycle Protocols And Wakeup Concepts - S-MAC, The Mediation Device Protocol, Wakeup Radio Concepts, Address and Name Management, Assignment of MAC Addresses, Routing Protocols- Energy-Efficient Routing, Geographic Routing.

Unit-4
Teaching Hours:9
INFRASTRUCTURE ESTABLISHMENT
 

Topology Control, Clustering, Time Synchronization, Localization and Positioning, Sensor Tasking  and Control.

Unit-5
Teaching Hours:9
SENSOR NETWORK PLATFORMS AND TOOLS
 

Sensor Node Hardware – Berkeley Motes, Programming Challenges, Node-level software platforms,  Node-level Simulators, State-centric programming.

Text Books And Reference Books:

T1. Holger Karl & Andreas Willig, "Protocols And Architectures for Wireless Sensor Networks", John Wiley, 2005.

 

T2. Feng Zhao & Leonidas J. Guibas, “Wireless Sensor Networks- An Information Processing Approach", Elsevier, 2007.

Essential Reading / Recommended Reading

R1. KazemSohraby, Daniel Minoli, &TaiebZnati, “Wireless Sensor NetworksTechnology, Protocols, And Applications”, John Wiley, 2007.

 

R2. Anna Hac, “Wireless Sensor Network Designs”, John Wiley, 2003.

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE {without practical component}

     Continuous Internal Assessment {CIA} : 50% {50 marks out of 100 marks}

     End Semester Examination{ESE}         : 50% {50 marks out of 100 marks}

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                      : 10 marks

CIA II  :   Mid Semester Examination {Theory}                    : 25 marks                  

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications                                                                                              : 10 marks

Attendance                                                                             : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination {MSE} : Theory Papers:

     The MSE is conducted for 50 marks of 2 hours duration.

     Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination {ESE}:

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year.

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

 

25 % - Complex level questions 

RM651 - AI AND MACHINE LEARNING LABORATORY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

Course objectives:

The course should enable the students to:

1.  Implement and evaluate AI algorithms in Python language.

2.  Implement and evaluate ML algorithms in Python/Java programming language.

Course Outcome

CO1: Explain about use and implementation of AI algorithms. (L2)

CO2: Evaluate different AI and ML algorithms. (L4)

CO3: Implement and demonstration of ML algorithms. (L2)

Unit-1
Teaching Hours:30
List of Experiments
 

 

List of Experiments {If any}:

Practical Hours

  1. Visualize a dataset using python libraries

4

  1. Implement a Linear Regression Model For a real time dataset

4

  1. Implement the Logistic regression using Python

4

  1. Design a classifier for a dataset using python libraries

4

  1. Implement a clustering algorithm in python

2

  1. Study on the functionalities of OpenCV library

4

  1. Study on AlexNet Neural Network Model

4

  1. Design a simple Classification using CIFAR dataset

4

Text Books And Reference Books:

NA

Essential Reading / Recommended Reading

NA

Evaluation Pattern

 

ASSESSMENT - ONLY FOR PRACTICAL COURSE

     Continuous Internal Assessment {CIA} : 50% {25 marks out of 50 marks}

 

     End Semester Examination{ESE}         : 50% {25 marks out of 50 marks}

ECOE7601 - AUTOMOTIVE ELECTRONICS (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The aim of this course is to enable student to understand the complete dynamics of automotive electronics, design and implementation of the electronics that contributes to the safety of the automobiles, add-on features, and comforts. 

Course Outcome

CO1: Implement various control requirements in the automotive system

CO2: Comprehend dashboard electronics and engine system electronics

CO3: Identify various physical parameters that are to be sensed and monitored for maintaining the stability of the vehicle under dynamic conditions

CO4: Understand and implement the controls and actuator system pertaining to the comfort and safety of commuters

CO5: Design sensor network for mechanical fault diagnostics in an automotive vehicle

Unit-1
Teaching Hours:9
AUTOMOTIVE FUNDAMENTALS
 

Use of Electronics In The Automobile, Antilock Brake Systems, (ABS), Electronic steering control, Power steering, Traction control, Electronically controlled suspension

Unit-2
Teaching Hours:9
AUTOMOTIVE INSTRUMENTATION CONTROL
 

Sampling, Measurement and signal conversion of various parameters.  Sensors and Actuators, Applications of sensors and actuators

Unit-3
Teaching Hours:9
BASICS OF ELECTRONIC ENGINE CONTROL
 

Integrated body- Climate controls, Motivation for Electronic Engine Control, Concept of An Electronic Engine Control System, Definition of General Terms, Definition of Engine Performance Terms, Electronic fuel control system, Engine control sequence, Electronic Ignition,  air flow rate sensor, Indirect measurement of mass air flow, Engine crankshaft angular position sensor, Automotive engine control actuators, Digital engine control, Engine speed sensor ,Timing sensor for ignition and fuel delivery, Electronic ignition control systems, Safety systems,

Interior safety, Lighting, Entertainment systems

Unit-4
Teaching Hours:9
VEHICLE MOTION CONTROL AND AUTOMOTIVE DIAGNOSTICS
 

Cruise control system, Digital cruise control, Timing light, Engine analyzer, On-board and off-board diagnostics, Expert systems. Stepper motor based actuator, Cruise control electronics, Vacuum – antilock braking system, Electronic suspension system Electronic steering control, Computer-based instrumentation system, Sampling and Input\output signal conversion, Fuel quantity measurement, Coolant temperature measurement, Oil pressure measurement, Vehicle speed measurement, Display devices, Trip-Information- Computer, Occupant protection systems

Unit-5
Teaching Hours:9
FUTURE AUTOMOTIVE ELECTRONIC SYSTEMS
 

Alternative Fuel Engines, Collision Wide Range Air/Fuel Sensor, Alternative Engine, Low Tire Pressure Warning System, Collision avoidance Radar Warning Systems, Low Tire Pressure Warning System, Radio Navigation, Advance Driver information System. Alternative-Fuel Engines, Transmission Control , Collision Avoidance Radar Warning System, Low Tire Pressure Warning System, Speech Synthesis Multiplexing in Automobiles, Control Signal Multiplexing, Navigation Sensors, Radio Navigation, Sign post Navigation , Dead Reckoning Navigation Future Technology, Voice Recognition Cell Phone Dialing Advanced Driver information System, Automatic Driving Control

Text Books And Reference Books:

T1.A William B. Ribbens, "Understanding Automotive Electronics",6th Edition SAMS/Elsevier publishing, 2007

Essential Reading / Recommended Reading

R1. Robert Bosch Gmbh,"Automotive Electrics and Automotive Electronics-Systems and Components, Networking and Hybrid Drive", 5th Edition, Springer, Vieweg,  2007

Evaluation Pattern

Components of the CIA
CIA I : Subject Assignments / Online Tests : 10 marks
CIA II : Mid Semester Examination (Theory) : 25 marks
CIAIII:Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations
/publications : 10 marks
Attendance : 05 marks
Total : 50 marks
Mid Semester Examination (MSE) : Theory Papers:
The MSE is conducted for 50 marks of 2 hours duration.
Question paper pattern; Five out of Six questions have to be answered. Each question carries 10
marks
End Semester Examination (ESE):
The ESE is conducted for 100 marks of 3 hours duration.

EEOE731 - BATTERY MANAGEMENT SYSTEMS FOR ELECTRICAL VEHICLES (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course introduce battery chemistry, traction batter & regulation, parameter estimation, battery state estimation, protection and BMS

Course Outcome

CO1: To understand the traction battery chemistry

CO2: To demonstrate the need for Battery Management Systems in Lithium ion battery packs.

CO3: To understand the control Algorithms used to determine State of Charge

CO4: To understand the need of Thermal Management System for Battery life extension.

CO5: To identify the charging and discharging controllers and their regulations

Unit-1
Teaching Hours:9
Battery Chemistry
 

Lead Acid Battery – Construction- Working – Characteristics – Li ion Battery -

Construction- Working – Characteristics- LiFePo Battery- NiMH - Construction-

Working – Characteristics – Fuel Cells- Construction- Working – Characteristics-

Introduction to latest batteries- Zinc Air- Aluminium Battery.

Unit-2
Teaching Hours:9
Traction Battery & Regulation
 

Li-ion cell - constant-voltage control- constant-power control-EV battery pack sizing-.

Voltage sensing - High-voltage control- Battery pack protection- interface-

performance management- diagnostics- Cell Aging- Cell failure-BMS topologies.

Unit-3
Teaching Hours:9
Parameter Estimation
 

SoC measurement – Need for SoC- terminal voltage method- Coulumb counting

method- Joule counting method- SoC state estimation – Kalman filter method. SoH

measurement- Cell Degradation – cell capacity estimation- Total capacity estimation.

Unit-4
Teaching Hours:9
Battery Pack Protection
 

Battery Failure Causes- Thermal Runaway Model- Internal Short Circuit Detection-

Gas Sensing for Battery Venting Detection- Fault Detection in Modules.

Unit-5
Teaching Hours:9
Battery Management System Boards
 

Types of BMS Boards- Overcurrent protection- Over voltage protection – Cell

balancing – Case study : Connection diagram – Battery pack charger.

Text Books And Reference Books:

 Advances in Battery Technologies for Electric Vehicles- A Volume in Woodhead

Publishing Series in Energy, Bruno Scrosati, Jürgen Garche and Werner Tillmetz,

Elsevier, 2015

 

Essential Reading / Recommended Reading

 Electric Vehicle Battery Systems, Sandeep Dameja, Elsevier, 2002

Evaluation Pattern

ASSESSMENT - ONLY FOR THEORY COURSE (without practical component)

Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks)

End Semester Examination(ESE)          : 50% (50 marks out of 100 marks)

Components of the CIA

CIA I   :  Subject Assignments / Online Tests                        : 10 marks

CIA II  :   Mid Semester Examination (Theory)                     : 25 marks                       

CIAIII: Quiz/Seminar/Case Studies/Project/

Innovative assignments/ presentations/ publications             : 10 marks

Attendance                                                                              : 05 marks

            Total                                                                           : 50 marks

Mid Semester Examination (MSE): Theory Papers:

The MSE is conducted for 50 marks of 2 hours duration.

Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks

End Semester Examination (ESE):

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

25 % - Complex level questions

RM733 - CONTROL SYSTEM (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

● To teach the fundamental concepts of control systems & mathematical modelling of system.

● To study the concept of time response and frequency response of the system.

● To teach the basics of stability analysis of the system.

Course Outcome

Unit-1
Teaching Hours:9
Introduction
 

Introduction to control problem- Industrial Control examples. Transfer function. System with dead-time. System response. Control hardware and their models: Closed-loop systems. Block diagram and signal flow graph analysis.

Unit-2
Teaching Hours:9
Controllers
 

Feedback control systems- Stability, steady-state accuracy, transient accuracy, disturbance rejection, insensitivity and robustness. proportional, integral and derivative systems. Feed- forward and multi-loop control configurations, stability concept, relative stability, Routh stability criterion.

Unit-3
Teaching Hours:9
Time response of second-order systems
 

Time response of second-order systems, steady-state errors and error constants. Performance specifications in time-domain. Root locus method of design. Lead and lag compensation.

Unit-4
Teaching Hours:9
Frequency-response analysis
 

Frequency-response analysis- Polar plots, Bode plot, stability in frequency domain, Nyquist plots. Nyquist stability criterion. Performance specifications in frequency-domain. Frequency- domain methods of design, Compensation & their realization in time & frequency domain. Lead and Lag compensation. Op-amp based and digital implementation of compensators. Tuning of process controllers. State variable formulation and solution.

Unit-5
Teaching Hours:9
State variable Analysis
 

State variable Analysis- Concepts of state, state variable, state model, state models for linear continuous time functions, diagonalization of transfer function, solution of state equations, concept of controllability & observability. Introduction to Optimal control & Nonlinear control, Optimal Control problem, Regulator problem, Output regulator, trekking problem. Nonlinear system – Basic concept & analysis.

Text Books And Reference Books:

T1. Gopal. M., “Control Systems: Principles and Design”, Tata McGraw-Hill, 1997.

T2. Kuo, B.C., “Automatic Control System”, Prentice Hall, sixth edition, 1993.

Essential Reading / Recommended Reading

R1. Ogata, K., “Modern Control Engineering”, Prentice Hall, second edition, 1991.

R2. Nagrath & Gopal, “Modern Control Engineering”, New Age International, New Delhi.

R3. Ambikapathy A., Control System, Khanna Book Publishing Company, 2018.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

RM741E2 - SMART SENSORS FOR IOT APPLICATIONS (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To impart knowledge on

1. Properties and working of smart sensors.

2. Signal conditioning for sensors.

3. Smart Sensor and IoT Application.

Course Outcome

Unit-1
Teaching Hours:8
Introduction
 

Introduction to IOT, Sensor classification, Thermal sensors, Humidity sensors, Capacitive sensors, Electromagnetic sensors, Light sensing technology, Moisture sensing technology, Carbon dioxide (CO2) sensing technology, Sensors parameters, Selection of sensors.

Unit-2
Teaching Hours:10
Interfacing of Sensors and Signal Conditioning
 

Change of bios and level of signals, loading effects on Sensor's output, Potential divider, Low-Pass RC filter, High-Pass RC filter, practical issues of designing passive filters.

Unit-3
Teaching Hours:10
Circuits with Resistive Feedback
 

OPAMPS, I/V and V/I converters, Current amplifiers, Difference amplifiers, Triple and dual op amp Instrumentation amplifiers, Instrumentation applications, Transducer bridge amplifiers, Wireless sensor network based on only wifi.

Unit-4
Teaching Hours:8
Smart Sensors
 

Smart Sensors, Components of Smart Sensors, General Architecture of Smart Sensors, Evolution of Smart Sensors, Advantages, Application area of Smart Sensors.

Unit-5
Teaching Hours:9
IoT Components
 

Characteristics IoT sensor nodes, Edge computer, cloud and peripheral cloud, single board computers, open source hardware’s, Examples of IoT Applications.

Text Books And Reference Books:

T1. Olivier Hersent, David Boswarthick, Omar Elloumi, The Internet of Things: Key Applications and Protocols, 2nd Edition, Willy Publications 2012.

T2. Subhas Chandra Mukhopadhyay ,”Smart Sensors, Measurement, and Instrumentation”, Springer publication , 2017.

T3. Alan S Morris, Reza Langari , “Measurement and Instrumentation: Theory and Applications”, Academic Press, Elsevier, 2015.

Essential Reading / Recommended Reading

R1. Randy Frank ,”Understanding Smart Sensors” Artech House Sensors Library.

R2. Alessandro Bassi, Martin Bauer, Martin Fiedler, Thorsten Kramp, Rob van Kranenburg, Sebastian Lange, Stefan Meissner, “Enabling things to talk – Designing IoT solutions with the IoT Architecture Reference Model”, Springer Open, 2016.

R3. Jan Holler, VlasiosTsiatsis, Catherine Mulligan, Stamatis Karnouskos, Stefan Avesand, David Boyle, “From Machine to Machine to Internet of Things”, Elsevier Publications, 2014.

R4. Franco S ,”Operational Amplifiers and Analog Integrated Circuits”, McGraw Hill International Edition, 1988.

R5. Subhas C. Mukhopadhyay “Internet of Things Challenges and Opportunities” Springer International Publishing,2014.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

RM742E2 - PRODUCT DESIGN AND DEVELOPMENT (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To educate students a clear understanding of factors to be considered in designing parts and components with focus on manufacturability.

Course Outcome

Unit-1
Teaching Hours:9
THE MORPHOLOGY OF DESIGN
 

(The seven phases) - Primary design phases and flowcharting - Role of allowance - Process capability and Tolerance in detailed design & assembly.

Unit-1
Teaching Hours:9
INTRODUCTION TO PRODUCT DESIGN
 

Asimow’s model: Definition of product design - Design by evolution - Design by innovation - Essential factors of Product design - Production-Consumption cycle - Flow and value addition in the Production- Consumption cycle.

Unit-2
Teaching Hours:9
REVIEW OF STRENGTH, STIFFNESS AND RIGIDITY CONSIDERATIONS IN PRODUCT DESIGN
 

Principal stress trajectories (Force-Flow lines) - Balanced design - Criteria and objectives of Design - Material Toughness: Resilience designing for uniform strength - Tension vis-à-vis Compression. Review of production processes - Machining processes - Non-Traditional machining Processes.

Unit-2
Teaching Hours:9
PRODUCT DESIGN PRACTICE AND INDUSTRY
 

Introduction - Product Strategies - Time to Market - Analysis of the product - The S’s Standardization - Renard Series – Simplification - Role of Aesthetics in Product Design - Functional Design Practice.

Unit-3
Teaching Hours:9
DESIGN FOR PRODUCTION-METAL PARTS
 

Producibility requirements in the Design of machine components design - Forging design - Pressed component design - Casting design - Design for machining ease - The role of process engineer - Ease of location casting and special casting. Designing with plastic rubber, ceramics and wood: Approach to design with plastics - plastic bush bearings - gears in plastics - rubber parts - design recommendations for rubber parts - ceramic and glass parts.

Unit-3
Teaching Hours:9
OPTIMIZATION IN DESIGN
 

Introduction - Siddal’s classification of design approach - Optimization by differential calculus - Legrange Multipliers - Linear programming (Simplex Method) - Geometric programming - Johnson’s method of optimum design.

Unit-4
Teaching Hours:9
HUMAN ENGINEERING CONSIDERATION IN PRODUCT DESIGN
 

Introduction - Human being as applicator of forces - Anthropometry; Man as occupant of space - The design of controls - The design of displays - Man/Machine information exchange.

Unit-4
Teaching Hours:9
ECONOMIC FACTOR INFLUENCING DESIGN
 

Product Value - Design for safety - Reliability and environmental considerations - Manufacturing operations in relation to Design - Economic analysis - Profit and Competitiveness - Break-Even analysis - Economic of a new product design.

Unit-5
Teaching Hours:9
VALUE ENGINEERING AND PRODUCT DESIGN
 

Introduction - Historical perspective - What is value? Nature and measurement of value - Normal degree of value - Importance of value - the value analysis job plan – creativity - Steps to problemsolving and value analysis - Value analysis test - Value engineering idea generation check-list cost reduction through value engineering case study on Tap switch control assembly.

Unit-5
Teaching Hours:9
MATERIAL AND PROCESS SELECTION IN VALUE ENGINEERING
 

Modern approach to product design: Concurrent design and Quality function deployment (QFD).

Text Books And Reference Books:

1. A.C. Chitale and R.C. Gupta, “Product Design and Manufacturing, 6 th edition, PHI, 2011.

2. Karl T.Ulrich & Steven D, Epinger, “Product Design & Development”, 4th edition, Tata Mc. Graw Hill, 2007.

Essential Reading / Recommended Reading

1. Tim jones, Butterworth Heinmann, “New Product Development”, Oxford, mc 1997.

2. Roland EngeneKinetovicz, “New Product Development: Design & Analysis” John Wiley and Sosn Inc., N.Y.1990.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

RM744E3 - HYBRID-ELECTRIC VEHICLES (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course should enable the students:

1. To understand the principles of traction

2. To understand the characteristics of hybrid vehicles

3. To differentiate various motors and drives

4. To integrate various subsystems

5. To understand energy conservation principles in hybrid vehicles

Course Outcome

Unit-1
Teaching Hours:9
HYBRID VEHICLES
 

History and importance of hybrid and electric vehicles, impact of modern drive-trains on energy supplies. Basics of vehicle performance, vehicle power sources, transmission characteristics, and mathematical models to describe vehicle performance.

Unit-2
Teaching Hours:9
HYBRID TRACTION
 

Basic concept of hybrid traction, introduction to various hybrid drive-train topologies, power flow control in hybrid drive-train topologies, fuel efficiency analysis. Basic concepts of electric traction, introduction to various electric drive-train topologies, power flow control in hybrid drive-train topologies, fuel efficiency analysis.

Unit-3
Teaching Hours:9
MOTORS AND DRIVES
 

Introduction to electric components used in hybrid and electric vehicles, configuration and control of DC Motor drives, Configuration and control of Induction Motor drives, configuration and control of Permanent Magnet Motor drives, Configuration and control of Switch Reluctance Motor drives, drive system efficiency.

Unit-4
Teaching Hours:9
INTEGRATION OF SUBSYSTEMS
 

Matching the electric machine and the internal combustion engine (ICE), Sizing the propulsion motor, sizing the power electronics, selecting the energy storage technology, Communications, supporting subsystems.

Unit-5
Teaching Hours:9
ENERGY MANAGEMENT STRATEGIES
 

Introduction to energy management strategies used in hybrid and electric vehicle, classification of different energy management strategies, comparison of different energy management strategies, implementation issues of energy strategies.

Text Books And Reference Books:

T1. Bimal K. Bose, Power Electronics and Motor drives, Elsevier, 2011.

T2. Iqbal Hussain, Electric and Hybrid Vehicles: Design Fundamentals, 2nd edition, CRC Pr I Llc, 2010 T3 Lyla B Das,” Embedded Systems-An Integrated Approach”, Pearson, 2013.

Essential Reading / Recommended Reading

R1. Sira -Ramirez, R. Silva Ortigoza, Control Design Techniques in Power Electronics Devices, Springer, 2006.

R2. Siew-Chong Tan, Yuk-Ming Lai, Chi Kong Tse, Sliding mode control of switching Power Converters, CRC Press, 2011.

R3. Ion Boldea and S.A Nasar, Electric drives, CRC Press, 2005.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100

RM751 - AUTOMATION SYSTEM DESIGN LABORATORY (2020 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The student should be made to:

● To illustrate the design and simulation of multiple actuator systems using pneumatic, electro-pneumatic and PLCs and enable the students to integrate various fringe conditions in multiple actuator systems.

● To design a system using PNEUMOSIM software.

● To design a Microcontroller kit with stepper motor and drive circuit using LABVIEW software.

● To expose the students in sensors/actuators interfaced with computers.

● To design a circuit using stepper motor.

Course Outcome

Unit-1
Teaching Hours:30
LIST OF EXPERIMENTS
 

1. Co-ordinated motion of multiple pneumatic actuators in a desired sequence using Cascade method.

2. Integration of fringe condition modules in multiple actuator pneumatic systems.

3. Co-ordinated motion of multiple actuator, electro – pneumatic systems in a desired sequence using hard – wire programmed control systems.

4. Co-ordinated motion of multiple actuator, electro – pneumatic systems in a desired sequence using PLC.

5. Interfacing of an LVDT with a PC for monitoring the displacement of machine slide and raising an alarm if the displacement exceeds specified limit.

6. Inspection using Machine vision System.

7. Control of speed, direction and number of revolutions of a stepper motor using PC.

8. Development of an obstacle avoidance robot using servo motors, ultrasonic and touch sensors.

Text Books And Reference Books:

NA

Essential Reading / Recommended Reading

NA

Evaluation Pattern

CIA MARKS- 50 SCALED TO 25

ESE MARKS- 50 SCALED TO 25

TOTAL MARKS- 50

RM781 - PROJECT WORK PHASE - I (2020 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

Project work Phase-I includes identifying the problem, literature review and necessary ground work so as to continue it as Phase-II during VIII semester.

Presentations on these are to be given as per the schedule announced by the department.

Course Outcome

Able to complete the project.

Unit-1
Teaching Hours:60
Project
 

Continuous Internal Assessment:50 Marks

  • Presentation assessed by Panel Members
  • Assessment by the Guide
  • Project  Progress Reports
Text Books And Reference Books:

journals

Essential Reading / Recommended Reading

journals

Evaluation Pattern

Project progress report 25 Marks

Presentation 25 Marks

 

 

RM782 - INTERNSHIP (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:50
Credits:2

Course Objectives/Course Description

 
  • Internships are short-term work experiences that will allow a student to observe and participate in professional work environments and explore how his interests relate to possible careers. They are important learning opportunities trough industry exposure and practices.   More specifically, doing internships is beneficial because they provide the opportunity to:
  • Get an inside view of an industry and organization/company

  • Gain valuable skills and knowledge
  • Make professional connections and enhance student's network
  • Get experience in a field to allow the student to make a career transition

Course Outcome

CO1: To experience a 60 days internship training, enabling the student for onsite visits, study projects and practical training. {L4}

CO2: To develop a skill for handling multiple situations, practical problems, analysing team work and communication abilities. {L2}

CO3: To integrate theory with practice and carry out performance objectives on strong work ethics, persistence, adaptability and critical thinking. {L3} 

Unit-1
Teaching Hours:60
INTERNSHIP
 
  1. The student shall undergo an Internship for 60 days starting from the end of 2nd semester examination and completing it during the initial period of 7th semester.
  2. The department shall nominate a faculty as a mentor for a group of students to prepare and monitor the progress of the students
  3. The students shall report the progress of the internship to the mentor/guide at regular intervals and may seek his/her advise.
  4. The Internship shall be completed by the end of 7th semester.
  5. The students are permitted to carry out the internship outside India with the following conditions, the entire expenses are to be borne by the student and the University will not give any financial assistance.
  6. Students can also undergo internships arranged by the department during vacation.
  7. After completion of Internship, students shall submit a report to the department with the approval of both internal and external guides/mentors.
  8. There will be an assessment for the internship for 2 credits, in the form of report assessment by the guide/mentor and a presentation on the internship given to department constituted panel.
  9. Mandatory one MOOC course completed certificate is required at the time of submission of report.
Text Books And Reference Books:

T1.Pamela Myers Kiser, “Human Services Internship: Getting the Most From Your Experience”, Cengage Learning, 4th Edition, 2016. (ISBN13: 978-1305087347)

T2.H. Frederick Sweitzer, “Successful Internship”, Brooks/Cole Publishing Co., 5th Edition, 2019.

Essential Reading / Recommended Reading

R1.Bill Hobbs, Zach Schleien, “Hacking the Internship Process (Work)”, La Plata Press, Paperback,  2017.

Evaluation Pattern

Continuous Internal Assessment is based upon

●   No of Internship Days                                : 20 marks

●   Type of Industry and Work Carried out        : 10 marks

●   Report on Internship                                  : 10 marks

●   Presentation on Internship                         : 10 marks

AU881 - PROJECT WORK PHASE II (2020 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:16
Max Marks:300
Credits:10

Course Objectives/Course Description

 

Students in a group of maximum four work on a project. The nature of project may be a design and fabrication, modellingand analysis, a case study, etc. The project may also be taken at an industry ot research organisation with the permissionfrom the department. The faculty member will be assigned as an internal guide who will monitor assess the progressregularly. A report on the project work in the approved format is to submitted on or before the dates announced by thedepartment. Examination requires demonstration of the project in the presence of an external examiner.

Course Outcome

The final outcome of a project, which might be a product (such as a machine) creates a focus for the project that gives it afeeling of purpose from day one. Think about your own work – you probably carry out tasks with much more confidencewhen you have a clear idea of what you are meant to produce at the end of it than you do when the final output is vaguelydefined.

Unit-1
Teaching Hours:90
Projects Based on Specilaistions
 

Projects Based on Specilaistions

Specializations include:

Design

Thermal

Manufacturing

Materials

Management Etc...

Text Books And Reference Books:

The theme of the Project related journal papers and reference books.

Essential Reading / Recommended Reading

The theme of the Project related journal papers and reference books.

Evaluation Pattern

CIA -100M

Review - 1 : 25 marks

Review - 2 : 30 marks

Review - 3 : 45 marks

ESE-200M

Initial Write Up : 30 marks

Viva Voce: 50 marks

Demonstration: 70 marks

Project Report: 50 marks

RM841E5 - PROCESS PLANNING AND COST ESTIMATION (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course should enable the students to:

● Understand the basic concepts of process Planning and estimation and

● Apply different methods of cost estimation in different manufacturing shops

● Learn the concepts of process planning and cost estimation in competitive manufacturing systems and organizations.

Course Outcome

CO1: Select the process, equipment and tools for various industrial products.

CO2: Develop process planning activity chart.

CO3: Explain the concept of cost estimation.

CO4: Solve the job order cost for different type of shop floor.

CO5: Calculate the machining time for various machining operations.

Unit-1
Teaching Hours:9
INTRODUCTION TO PROCESS PLANNING
 

Introduction- methods of process planning-Drawing interpretation-Material evaluation – steps in process selection-.Production equipment and tooling selection.

Unit-2
Teaching Hours:9
PROCESS PLANNING ACTIVITIES
 

Process parameters calculation for various production processes-Selection jigs and fixtures election of quality assurance methods - Set of documents for process planning-Economics of process planning- case studies.

Unit-3
Teaching Hours:9
INTRODUCTION TO COST ESTIMATION
 

Importance of costing and estimation –methods of costing-elements of cost estimation –Types of estimates – Estimating procedure- Estimation labor cost, material costallocation of overhead charges- Calculation of depreciation cost

Unit-4
Teaching Hours:9
PRODUCTION COST ESTIMATION
 

Estimation of Different Types of Jobs - Estimation of Forging Shop, Estimation of Welding Shop, Estimation of Foundry Shop.

Unit-5
Teaching Hours:9
MACHINING TIME CALCULATION
 

Estimation of Machining Time - Importance of Machine Time Calculation- Calculation of Machining Time for Different Lathe Operations ,Drilling and Boring -Machining Time Calculation for Milling, Shaping and Planning -Machining Time Calculation for Grinding.

Text Books And Reference Books:

T1. Peter scalon, “Process planning, Design/Manufacture Interface”, Elsevier science technology Books, Dec 2002.

T2. Sinha B.P, “Mechanical Estimating and Costing”, Tata-McGraw Hill publishing co, 1995.

Essential Reading / Recommended Reading

R1. Chitale A.V. and Gupta R.C., “Product Design and Manufacturing”, 2nd Edition, PHI, 2002.

R2. Ostwalal P.F. and Munez J., “Manufacturing Processes and systems”, 9th Edition, John Wiley, 1998.

R3. Russell R.S and Tailor B.W, “Operations Management”, 4th Edition, PHI, 2003.

R4. Mikell P. Groover, “Automation, Production, Systems and Computer Integrated Manufacturing”, Pearson Education 2001.

R5. K.C. Jain & L.N. Aggarwal, “Production Planning Control and Industrial Management”, Khanna Publishers 1990.

Evaluation Pattern

THEORY

 

Component

Assessed for

Scaled down to

Min. marks to pass

Max. marks

1

CIA-1

20

10

-

10

2

CIA-2

50

25

-

25

3

CIA-3

20

10

-

10

4

Attendance

05

05

-

05

5

ESE

100

50

20

50

 

 

TOTAL

100

-

100