GENERAL INFORMATION COURSE CODE NUMBERING …...ENGG 19MEE100 Engineering Graphics - CAD 2 0 3 3 ENGG 19CSE101 Computer Systems Essentials 3 0 3 4 ENGG 19CSE180 Computer Hardware Essentials

Amrita Vishwa Vidyapeetham B.Tech Curriculum June 2019

GENERAL INFORMATION

COURSE CODE NUMBERING

Each course is assigned an eight-character code number. The first two digits indicate the year of curriculum

revision. The next three letters indicate the department offering the course. The last three digits are unique to the

course : - the first digit indicates the level of the course (100, 200, 300, 400) ; the second digit indicates the type

of the course, viz 0,1, and 2 indicate the core courses ; 3,4,5,6 and 7 indicate the elective courses ; 8 indicates

the Laboratory or practical-based courses and 9 indicates Projects.

ABBREVIATIONS USED IN THE CURRICULUM

Cat - Category

L - Lecture

T - Tutorial

P - Practical

Cr - Credits

ENGG - Engineering Sciences (including General, Core and Electives)

HUM - Humanities (including Languages and others)

SCI - Basic Sciences (including Mathematics)

PRJ - Project Work (including Seminars)

Departments

AES - Aerospace Engineering

AIE - Computer Science and Engineering - Artificial Intelligence

BIO - Biology

CCE - Computer and Communication Engineering

CHE - Chemical Engineering

CHY - Chemistry

CSE - Computer Science and Engineering

CVL - Civil Engineering

CUL - Cultural Education

EAC - Electronics and Computer Engineering

ECE - Electronics and Communication Engineering

EEE - Electrical and Electronics Engineering

ELC - Electrical and Computer Engineering

HUM - Humanities

MAT - Mathematics

MEE - Mechanical Engineering

PHY - Physics


Course Outcome (CO) – Statements that describe what students are expected to know, and are able to do at the

end of each course. These relate to the skills, knowledge and behaviour that students acquire in their progress

through the course.

Program Outcomes (POs) – Program Outcomes are statements that describe what students are expected to

know and be able to do upon graduating from the Program. These relate to the skills, knowledge, attitude and

behaviour that students acquire through the program. NBA has defined the Program Outcomes for each

discipline.

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering

fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex

engineering problems reaching substantiated conclusions using first principles of mathematics,

natural sciences, and engineering sciences.

3. Design/development of solutions: 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.

4. Conduct investigations of complex problems: 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.

5. Modern tool usage: 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.

6. The engineer and society: 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.

7. Environment and sustainability: Understand the impact of the professional engineering solutions

in societal and environmental contexts, and demonstrate the knowledge of, and need for

sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms

of the engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in

diverse teams, and in multidisciplinary settings.

10. Communication: 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.

11. Project management and finance: 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.

12. Life-long learning: 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.


CURRICULUM

(2019)


AEROSPACE ENGINEERING

SEMESTER I

Cat. Code Title L T P Credit

HUM 19ENG111 Technical Communication 2 0 3 3

SCI 19MAT101 Single Variable Calculus 1 0 0 1

SCI 19MAT102 Matrix Algebra 2 0 0 2

ENGG 19CSE100 Problem Solving and Algorithmic Thinking 2 1 3 4

SCI 19PHY102/ 19CHY101

Engineering Physics - B /Engineering Chemistry - A 2 1 0 3


Engineering Physics Lab - B / Engineering Chemistry Lab – A

0 0 3 1

ENGG 19EEE100 Basic Electrical and Electronics Engineering 3 0 0 3

ENGG 19AEE101 Introduction to Aerospace Engineering 0 0 3 1

ENGG 19MEE100 Engineering Graphics - CAD 2 0 3 3

HUM 19CUL101 Cultural Education – I 2 0 0 2

TOTAL

23

CHEMICAL ENGINEERING

SEMESETER I



SCI 19MAT103 Linear Algebra for Chemical Engineers 3 1 0 4



Engineering Physics - B /Engineering Chemistry - A 2 1 0 3



0 0 3 1



ENGG 19MEE181 Manufacturing Practice 0 0 3 1


TOTAL 24


CIVIL ENGINEERING

SEMESTER I






SCI 19PHY102 Engineering Physics – B 2 1 0 3

SCI 19PHY182 Engineering Physics Lab - B 0 0 3 1

ENGG 19MEE101 Engineering Drawing 2 0 3 3


ENGG 19EEE181 Basic Electrical and Electronics Engineering Lab 0 0 3 1


TOTAL

23

COMPUTER AND COMMUNICATION ENGINEERING

SEMESTER I


SCI 19BIO101 Biology for Engineers - A 3 0 0 3




SCI 19PHY103 Physics of Electronic Materials 3 0 0 3




ENGG 19ECE101 Introduction to IoT 0 0 3 1


TOTAL

23


COMPUTER SCIENCE AND ENGINEERING

SEMESTER I





SCI 19MAT111 Multivariable Calculus 2 0 0 2



ENGG 19CSE101 Computer Systems Essentials 3 0 3 4

ENGG 19CSE180 Computer Hardware Essentials 0 0 3 1


TOTAL

22

COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE)

SEMESTER I


SCI 19MAT105 Mathematics for Intelligent System - I 1 2 0 3

SCI 19PHY104 Computational Engineering Mechanics - I 1 2 0 3

ENGG 19AIE101 Elements of Computing Systems -I 1 2 0 3

ENGG 19AIE102 Introduction to Digital Manufacturing 1 0 3 2

ENGG 19AIE103 Introduction to Drones 1 0 3 2

ENGG 19AIE104 Introduction to Electrical Engineering 1 2 0 3

ENGG 19AIE105 Object Oriented Programming 2 2 0 4

SCI 19BIO103 Intelligence of Biological Systems 1 1 0 2

HUM 19CUL101 Cultural Education - I 2 0 0 2

TOTAL

24


ELECTRONICS AND COMPUTER ENGINEERING

SEMESTER I




ENGG 19EAC101 Introduction to Computer Engineering 3 0 0 3




ENGG 19EEE111 Electrical and Electronics Engineering 3 0 0 3

ENGG 19EEE182 Electrical and Electronics Engineering Practice 0 0 3 1

ENGG 19ECE101 Introduction to Internet of Things 0 0 3 1


TOTAL

23

ELECTRONICS AND COMMUNICATION ENGINEERING

SEMESTER I


SCI 19BIO101 Biology for Engineers- A 3 0 0 3








ENGG 19ECE101 Introduction to Internet of Things 0 0 3 1


TOTAL

23


ELECTRICAL AND ELECTRONICS ENGINEERING

SEMESTER I





SCI 19MAT106 Ordinary Differential Equation 2 0 0 2



Engineering Physics – A / Engineering Chemistry - B 2 1 0 3


Engineering Physics Lab - A / Engineering Chemistry Lab - B

0 0 3 1




TOTAL

22

ELECTRICAL AND COMPUTER ENGINEERING

SEMESTER I





SCI 19MAT106 Ordinary Differential Equation 2 0 0 2



Engineering Physics – A / Engineering Chemistry - B 2 1 0 3


Engineering Physics Lab - A / Engineering Chemistry Lab – B

0 0 3 1




TOTAL

22


MECHANICAL ENGINEERING

SEMESTER I



SCI 19MAT104 Basic Linear Algebra 2 0 0 2

SCI 19MAT111 Multivariable Calculus 2 0 0 2



Engineering Physics - B / Engineering Chemistry - A 2 1 0 3



0 0 3 1



ENGG 19MEE101 Engineering Drawing 2 0 3 3


TOTAL

22


SYLLABUS

(2019)


Course Objectives

Hands-on exposure to various aircraft components and other equipment through simple experiments.

Course Outcomes

CO1: Understand basics of Wind Tunnel, Visualize flow patterns around bluff bodies

CO2: Identify major components of aircraft propulsion systems.

CO3: Use strain gauges etc. on beams and plates. Understand layered sheets and failures.

CO4: Identify major components of Helicopter, Aircraft, UAV etc. Simulate flying maneuvers.

CO-PO Mapping

PO/PSO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2 PSO3

CO

CO1 3 2 2 1 2 3 3 - 1

CO2 3 2 2 1 2 3 3 - 1

CO3 3 2 1 2 3 3 - 1

CO4 3 1 2 2 1 2 3 3 1 1

Syllabus

Wind Tunnel

Essential parts of the wind tunnel: honey-comb; turbulence damping screens; the converging section; test-

section; mounting and traversing mechanism; suction duct and fan.

Flow visualization around bodies: Smoke as the tracer; flow features for blunt and streamlined configurations.

Image processing: Image enhancement utilizing commercial software; Extraction of flow features from the

recorded images.

Engines

Different types of aircraft engines; Identification of engines and their parts.

Thrust Generation principle.

Propeller models; Identification on the propeller test bench.

Structures

Measurement of deflections: use of dial gauges and strain gauges on beams and plates.

Effect of bonding strength in layered sheets.

Demonstration of failure mechanisms of different materials.

Aircraft

Ka-25 helicopter: Role of helicopters in Defence and Civilian operations; Anti-submarine capability; Helicopter

parts: rotors, engine, controls and cockpit instruments.

Mig -23: Role of Mig-23 in ground attack; Control surfaces; swept wing and saw tooth leading edge;

Components: spars, ribs etc.; Undercarriage system.

UAV models and their functioning

Remote control aircraft: Servos, BLDC motor, ESC and battery; Sensors: Gyros and accelerometers; Design,

fabrication and flying of a glider.

Flight Simulator

19AEE101 INTRODUCTION TO AEROSPACE ENGINEERING L-T-P-C: 0-0-3-1


Text Book

Anderson.D, “ Introduction to Flight,” 7th

edition, Mc Graw Hill, 2011.

References

Anderson, D.F and Eberhatdt. S, “Understanding Flight,” 2nd

edition, Mc Graw, 2009.

Evaluation Pattern

Assessment Internal End

Semester

*Continuous Assessment (CA) 80

End Semester 20

*CA – Can be Quizzes, Assignment, Projects, and Reports.


Course Objectives

The course will expose the students to basics of Boolean algebra and it will further help them to

understand the workings of a modern computer.

Students will be trained to build a computing system using elementary logic gates such as NAND,

AND, OR etc. through simulation software.

Course Outcomes

CO1: To develop an understanding on Boolean algebra and Digital Logic

CO2: To introduce the implementation of digital logic systems

CO3: To enable the students to design and implement programs using standard design patterns to solve general

Problems.

CO-PO Mapping

PO/PSO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO

CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 2 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

Syllabus

Unit 1

Machine level language Vs. High Level Language, Decimal to Binary Conversion, Boolean Logic, Logic Gates,

Boolean Algebra.

Unit 2

Combinational logic, ALU. Introduction to Hardware simulator platforms.

Unit 3

Sequential logic, Flip Flops, Registers, RAM, ROM, Memory Elements.

Unit 4

Computer Architecture: Von-Neumann architecture, Machine language, Basic experiments using machine

language, Assembler.

Text Books/ References

Noam Nisan and Shimon Schocken, “Elements of Computing Systems”, MIT Press, 2012.

Evaluation Pattern**


Semester


End Semester 20


**Most of the tutorial hours are lab based and students will be asked to perform computational experiments

during the tutorial hours

19AIE101 ELEMENTS OF COMPUTING SYSTEMS - I L-T-P-C: 1-2-0-3


Course Objectives

This course will at imparting the knowledge of basics of digital manufacturing and its importance in

current era.

It will also equip the students to understand about the basics of Additive manufacturing used in various

industry applications.

Further it will expose the students to additive manufacturing technology using 3-D printing.

Course Outcomes

CO1: To impart the knowledge of basic working principle of a 3D printer, how to use a 3D printer and how to

assemble a 3D printer.

CO2: To impart basic drawing skills to design simple 3D design using open source 3D drawing software (Free

CAD)

CO3: To enable the students to design small robots and DIY projects where they can accommodate simple

electronics to printed parts and make it live

CO-PO Mapping


CO

CO1 2 1 3 2 3 2 2 3 2 3 3

CO2 2 2 3 2 3 2 2 3 2 3 3

CO3 2 3 3 2 3 2 2 3 2 3 3

Syllabus

Unit 1

History of Manufacturing: From classical to Additive manufacturing.

Unit 2

3D Printers and Printable Materials, 3D Printer Workflow and Software.

Unit 3

Selecting a Printer: Comparing Technologies, Working with a 3D Printer.

Unit 4

3D Models, Applications, Building Projects.

Textbook/References:

Joan Horvath, Rich Cameron, Mastering 3D Printing in the Classroom, Library and Lab, Apress, 2018.



Semester


End Semester 20




19AIE102 INTRODUCTION TO DIGITAL MANUFACTURING L-T-P-C:1-0-3-2


Course Objectives

The main aim of this course is to understand the basics of Unmanned Arial Vehicles (Drones) and

its various applications.

The course will also impart the knowledge of how to fly a drone by considering the rules and

regulations to the specific country.

Further the students will be introduced to the safety measures to be taken during flight.

Course Outcomes

CO1: To introduce the various types of frame design used for the UAV and to accommodate the electronics

over the frame to fly UAV.

CO2: To make the students understand the basic working principal behind the electronic components used and

its specification to build a drone from scratch

CO3: To enable the students to identify and understand various functional modules of the controller using a pre

programmed controller used in the UAV.

CO-PO Mapping


CO

CO1 2 1 3 2 3 2 2 3 2 3 3

CO2 2 2 3 2 3 2 2 3 2 3 3

CO3 2 3 3 2 3 2 2 3 2 3 3

Syllabus

Unit 1

Intro to Drones I (Sensor-Processor-Actuator).

Unit 2

Intro to Drones II (How to Build a Drone).

Unit 3

Intro to Drones III (Communication Links), Intro to Drones IV (How to Fly a Drone)

Unit 4

Drone part design using 3D Printer, Flying Projects.

Textbook/References

Syed Omar FarukTowaha, Building Smart Drones with ESP8266 and Arduino: Build exciting drones by

leveraging the capabilities of Arduino and ESP8266, Packt Publishing, 2018.



Semester


End Semester 20



during the tutorial hours.

19AIE103 INTRODUCTION TO DRONES L-T-P-C: 1-0-3-2

http://gen.lib.rus.ec/search.php?req=Syed+Omar+Faruk+Towaha&column=author


Course Objectives

The course will lay down the basic concepts and techniques of electrical engineering needed for

advanced topics in AI.

It will explore the concepts initially through computational experiments and then try to understand the

concepts/theory behind it.

It will help the students to perceive the engineering problems using the fundamental concepts in

electrical engineering.

Another goal of the course is to provide connection between the concepts of electrical engineering,

mathematics and computational thinking.

Course Outcomes

CO1: To develop a basic understanding of the principles in electrical engineering.

CO2: To introduce the state-of-the-art computational techniques that can be employed to analyse the structured

Problems in electrical engineering.

CO3: To enable the students to model engineering problems in the perspective of electrical engineering.

CO4: To facilitate the students to understand the intricate connection between mathematics, electrical

engineering and Computational thinking.

CO-PO Mapping


CO

CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 2 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

CO4 3 3 3 2 3 3 2 3 3

Syllabus

Unit 1

Fundamentals of solid-state physics- Fundamental electrical laws – Fundamental circuit elements: Charge,

Voltage, and Current Resistance -Ohm’s Law.

Unit 2

Kirchoff’s Voltage Law - Kirchoff’s Current Law - Thevenin Equivalent Circuit - Norton Equivalent Circuit.

Unit 3

Inductors and Capacitors - Impedance and AC Sinusoidal Signals - Operational Amplifiers.

Unit 4

Semiconductor Devices - Transistors Circuits - Analog-to-Digital and Digital-to-Analog Conversion.

Textbooks/References

John. O. Attia, “Electronics and Circuit Analysis using MATLAB”, CRC Press, 1999.

Felix Huning, “Fundamentals of Electrical Engineering for Mechatronics”, De Gruyter, 2014.

William Flannery, “Mathematical Modeling and Computational Calculus”, Vol-1, Berkeley Science Books,

2013



Semester


End Semester 20



during the tutorial hours*CA – Can be Quizzes, Assignment, Projects, and Reports.

19AIE104 INTRODUCTION TO ELECTRICAL ENGINEERING L-T-P-C: 1-2-0-3


Course Objectives

The course will provide an introduction to object oriented programming.

It will expose the students to the paradigm of object oriented programming.

Students will also be motivated to solve the problems in engineering using the concepts of object

oriented programming.

Course Outcomes

CO1: Understand Abstraction in all forms and in a holistic way.

CO2: Observe and Analyse object-oriented Software to effectively utilise its features.

CO3: To enable the students to design and implement programs using standard design patterns to solve general

Problems.

CO-PO Mapping


CO

CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 2 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

Syllabus

Unit 1

Introduction to Scratch/ Blockly Visual programming and program constructs. Introduction to Java Language

and Runtime Environment- Basic program syntax, Hello world, Data types, variables and Functions - Value

types and Reference types, Implicit Pointers and the Null Pointer exceptions.

Unit 2

Objects in Java, Class file, constructor functions, Class members and method, Class Instance variables, the

Object class, new Operators, Heap allocation and Garbage collector – Basic Java API, Stream classes and

objects for Data IO, hierarchy of data streams in Java, Throw able type hierarchy and exception handling syntax,

the Thread class.

Unit 3

Object-Oriented Concepts-Abstraction, Encapsulation, Inheritance and Polymorphism- Abstract Class, partially

abstract and purely abstract, purely abstract class called Interface. Inheritance a way of extending classes,

multiple inheritances and implements relation with Interfaces, The Base class and Derived class. Revisiting

Instance and Class variables-Static and Dynamic Polymorphisms, Overloading and Overriding, Idea of a virtual

function. Revisiting Thread API, the Runnable Interface, Other major Interfaces, Cloneable, Serializable and

Observable. Interface as a mode of Type Polymorphism. UML Diagrams, Object relations and interactions,

Containment and cardinality, Cohesion and Coupling.

Unit 4

Object-Oriented Design Patterns: Creational: Factory, Singleton, Pool and Prototype - Behavioural: Command,

Iterator, Memento, Observer, State, Visitor – Structural: Adapter, Bridge, Decorator, Flyweight and Proxy.

19AIE105 OBJECT ORIENTED PROGRAMMING L-T-P-C: 2-2-0-4


Textbooks / References

Blaha, Michael. Object-Oriented Modelling and Design with UML: For VTU, 2/e. Pearson Education India,

2005.

Robert Lafore, Object-Oriented Programming in C++ , Pearson Education India, 2017.

Bert Bates, Kathy Sierra, Head First Java, O Reilly, second edition, 2009.

Evaluation Pattern


Semester


End Semester 20

*CA – Can be Quizzes, Assignment, Projects, and Reports


Course Objectives

To understand Biological concepts from an engineering perspective

To understand the inter-connection between biology and future technologies

To motivate technology application for biological and life science challenges.

Course Outcome

CO 1: Understand the biological concepts from an engineering perspective.

CO 2: Understand the concepts of biological sensing and its challenges.

CO 3: Understand development of artificial systems mimicking human action.

CO 4: Integrate biological principles for developing next generation technologies.

CO-PO Mapping

PO/PSO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

CO

CO1 3 3 - - - - - - - - - 2 2 2

CO2 3 3 - - - - - - - - - 2 2 2

CO3 3 3 - - - - - - - - - 2 2 2

CO4 3 3 - - - - - - - - - 2 2 2

Syllabus

Unit 1

Need to study Biology: – Life Science Studies Significance - Bio Inspired Inventions - Role of Biology in Next

Generation Technology Development – Cell Structure – Cell Potential - Action Potential – ECG and other

common signals – Sodium Potassium channels – Neuron function – Central Nervous Systems – Discussion

Topics: Evolution of Artificial Neural Networks, Machine Learning techniques.

Unit 2

Sensing Techniques: - Understanding of Sense organs working – Sensing mechanisms - Sensor Development

issues – Discussion Topics: Digital Camera – Eye Comparison, electronic nose, electronic tongue, electronic

skin.

Unit 3

Physiological Assist Device: Artificial Organ Development: Kidney, Liver, Pancreas, heart valves – Design

Challenges and Technological Developments

Text Books / References

Leslie Cromwell, Biomedical Instrumentation, Prentice Hall 2011.

Thyagarajan S., Selvamurugan N., Rajesh M.P., Nazeer R.A., Thilagaraj R. W., Barathi S., and Jaganthan M.K.,

Biology for Engineers, Tata McGraw-Hill, New Delhi, 2012.

https://www.sciencedirect.com/topics/medicine-and-dentistry/electronic-nose

https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/electronic-tongue

Evaluation Pattern

Assessment Internal External

Periodical 1 (P1) 15

Periodical 2 (P2) 15 *Continuous Assessment (CA) 20

End Semester 50

•CA – Can be Quizzes, Assignment, Projects, and Reports

19BIO101 BIOLOGY FOR ENGINEERS - A L-T-P-C: 3-0-0-3

https://www.sciencedirect.com/topics/medicine-and-dentistry/electronic-nose

https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/electronic-tongue


Course Objectives

This course will introduce the basics of cell biology.

This will pave way for advanced courses in computational biology.

It will help the students understand the basic cellular processes and it will provide a very basic

introduction about intelligence of the cell.

Course Outcomes

CO 1: To introduce the basic concepts in cell biology

CO 2: To develop an understanding about the basic cellular process

CO 3: To introduce the basic concepts about the cell intelligence

CO-PO Mapping


CO

CO1 1 1 1 1 3 2 3 2 3

CO2 1 1 1 1 3 2 3 2 3

CO3 1 3 2 2 3 2 3 2 3

Syllabus

Unit 1

Classification of biological macromolecules, Cellular Structures.

Unit 2

Cellular Energy Production and Utilization, The Cell Cycle and Cell Division.

Unit 3

Meiosis and Formation of Gametes, Protein Synthesis.

Unit 4

Gene Expression and Mutation, Evolution Patterns and Processes.

Textbooks/ References

Ryan Rogers, Cell and Molecular Biology for Environmental Engineers, Momentum Press Engineering, 2018.

Gabi Nindl Waite, Lee R. Waite, Applied Cell and Molecular Biology for Engineers, McGraw Hill Publishers,

2007.



Semester


End Semester 20




19BIO103 INTELLIGENCE OF BIOLOGICAL SYSTEMS 1 L-T-P-C: 1-1-0-2

https://www.amazon.com/s/ref=dp_byline_sr_book_1?ie=UTF8&text=Ryan+Rogers&search-alias=books&field-author=Ryan+Rogers&sort=relevancerank


Course Objectives

The main objective of the course is to impart knowledge on the fundamentals concepts of chemistry

involved in application of several important engineering materials that are used in the industry/day-to

day life

Course Outcomes

CO1: To understand the fundamental concepts of chemistry to predict the structure, properties and bonding of

Engineering materials.

CO2: To understand the principle of electrochemistry/photochemistry and applications of various energy

Storage system.

CO3: To be able to identify the correct materials, design and operation conditions to reduce the likelihood of

Corrosion in new equipment and engineering operations.

CO4: To be able to understand the fundamental problems and explain operation maintenance procedures of

Equipment use in water treatment

CO-PO Mapping


CO

CO1 3 3 2 2 2

CO2 3 3 2 2 2

CO 3 3 3 3 3 2

CO4 3 3 2 3 2

Syllabus

Unit 1

Atomic Structure and Chemical Bonding

Fundamental particles of atom – their mass, charge and location – atomic number and mass number –

Schrondinger equation. Significance of ψ and ψ2 – orbital concept – quantum numbers - electronic

configuration. Periodic properties. Formation of cation and anion by electronic concept of oxidation and

reduction – theories on bonding- octet, Sidgwick and Powell, VSEPR and VBT-MOT. Formation of

electrovalent, covalent and coordination compounds. Chemistry of weak interactions – van der Waals force and

hydrogen bonding.

Unit 2

Electrochemical energy system

Faradays laws, origin of potential, electrochemical series, reference electrodes, Nernst equation, introduction to

batteries – classification – primary, secondary and reserve (thermal) batteries. Characteristics – cell potential,

current, capacity and storage density, energy efficiency. Construction, working and application of Leclanche

cell-Duracell, Li-MnO2 cell, lead acid batteries. Ni-Cd battery, Lithium ion batteries. Fuel cell - construction

and working of PEMFC.

19CHY101 ENGINEERING CHEMISTRY - A L-T-P-C: 2-1-0-3

(Aerospace, Mechanical, Civil and Chemical Engineering)


Unit 3

Photochemistry and solar energy

Electromagnetic radiation. Photochemical and thermal reactions. Laws of photochemistry, quantum yield, high

and low quantum yield reactions. Jablonski diagram - photophysical and photochemical processes,

photosensitization, photo-polymerization and commercial application of photochemistry.

Solar energy - introduction, utilization and conversion, photovoltaic cells – design, construction and working,

panels and arrays. Advantages and disadvantages of PV cells. DSSC (elementary treatment).

Unit 4

Corrosion control and metal finishing

Introduction, causes and different types of corrosion and effects of corrosion, theories of corrosion – chemical

corrosion, Pilling Bed-worth ratio, electrochemical corrosion and its mechanism, factors affecting corrosion –

galvanic series. Corrosion control methods – cathodic protection, sacrificial anode, impressed current cathode.

Surface coatings - galvanizing, tinning, electroplating of Ni and Cr, organic surface coatings – paints,

constituents and functions. Anodising and electroplating of aluminium.

Unit 5

Water Technology

Hardness of water – types – expression of hardness – units – estimation of hardness of water by EDTA.

Numerical problems – boiler troubles (scale and sludge). Treatment of boiler feed water – Internal treatment

(phosphate, colloidal, sodium aluminate and calgon conditioning). External treatment – Reverse Osmosis, ion

exchange process.

Text Books:

Vairam and Ramesh “Engineering Chemistry”, Wiley, 2012Amrita Vishwa Vidyapeetham, Department of

sciences, “Chemistry Fundamentals for Engineers”, McGraw Hill Education, 2015.

Reference Books:

Jain and Jain, “Engineering Chemistry”, DhanpatRai Publishing company, 2015

Puri, Sharma and Patania, “ Principles of Physical chemistry”, Vishal Publishing Co., 2017.

Atkins, “Physical Chemistry”, OUP, Oxford, 2009

Evaluation Pattern


Semester




End Semester 50



Course Objective

The objective of the laboratory sessions is to enable the learners to get hands-on experience on the

principles discussed in theory sessions and to understand the applications of these concepts in

engineering.

Course Outcomes

CO1: learn and apply basic techniques used in chemistry laboratory for small/large scale water

analyses/purification.

CO2: be able estimate the ions/metal ions present in domestic/industry waste water.

CO3: utilize the fundamental laboratory techniques for analyses such as titrations, separation/purification and

spectroscopy.

CO4: able to analyze and gain experimental skill.

CO-PO Mapping


CO

CO1 3 3 3 2 2

CO2 3 3 2 2 2

CO 3 3 3 3 3 2

CO4 3 3 3 3 2

Lab

1. Estimation of alkalinity in given water samples

2. Adsorption of acetic acid by charcoal

3. Potentiometric titration – acid-base/redox

4. Conductometric titration

5. Estimation of hardness by ion-exchange method

6. Determination of kinematic viscosity by Redwood Viscometer

7. Anodisation of Aluminium – Relation between current and thickness

8. Determination of acid value of an oil

9. Separation techniques – TLC, Column chromatography

10. Verification of B-L law by UV-spectrophotometer

Evaluation Pattern


Semester


End Semester 20

* CA – Principles of experiment, skill, result analysis and report

19CHY181 ENGINEERING CHEMISTRY LAB - A L-T-P-C: 0-0-3-1

(Aerospace, Mechanical, Civil and Chemical Engineering)


Course Objectives

The main objective of the course is to impart knowledge on the fundamental concepts of chemistry

involved in application of several important engineering materials that are used in the industry/day-to-

day life.

Course Outcomes

CO 1: To understand the fundamental concepts of chemistry to predict the structure, properties and bonding of

Engineering materials.

CO 2: To understand the principle of electrochemistry/photochemistry and applications of various energy

Storage system.

CO 3: To be able to understand the crystals structure, defects and free electron theory

CO 4: To be able to understand the mechanism and application of conductivity polymer is various electronic

devices.

CO-PO Mapping


CO

CO 1 3 3 2 2 2

CO 2 3 3 2 2 2

CO 3 3 3 3 3 2

CO 4 3 3 2 3 2

SYLLABUS

Unit 1

Atomic Structure and Chemical Bonding

Fundamental particles of atom – their mass, charge and location – atomic number and mass number –

Schrondinger equation. Significance of ψ and ψ2 – orbital concept – quantum numbers - electronic

configuration. Periodic properties. Formation of cation and anion by electronic concept of oxidation and

reduction – theories on bonding- octet, Sidwick and Powell, VSEPR and VBT-MOT. Formation of

electrovalent, covalent and coordination compounds. Chemistry of weak interactions – van der Waals force and

hydrogen bonding.

Unit 2

Electrochemical energy system

Faradays laws, origin of potential, electrochemical series, reference electrodes, Nernst equation, introduction to

batteries – classification – primary, secondary and reserve (thermal) batteries. Characteristics – cell potential,

current, capacity and storage density, energy efficiency. Construction, working and application of Leclanche

cell-Duracell, Li-MnO2 cell, lead acid batteries. Ni-Cd battery, Lithium ion batteries. Fuel cell - construction

and working of PEMFC.

19CHY102 ENGINEERING CHEMISTRY - B L-T-P-C: 2-1-0-3

(EEE, ECE, CCE, and ELC)


Unit 3

Photochemistry and solar energy

Electromagnetic radiation. Photochemical and thermal reactions. Laws of photochemistry, quantum yield, high

and low quantum yield reactions. Jablonski diagram - photophysical and photochemical processes,

photosensitization, photo-polymerization and commercial application of photochemistry.

Solar energy - introduction, utilization and conversion, photovoltaic cells – design, construction and working,

panels and arrays. Advantages and disadvantages of PV cells. DSSC (elementary treatment).

Unit 4

Solid state Chemistry

Crystalline and amorphous solids, isotropy and anisotropy, elements of symmetry in crystal systems indices -

Miller indices, space lattice and unit cell, Bravais lattices, the seven crystal systems and their Bravais lattices, X-

ray diffraction - Bragg’s equation and experimental methods (powder method and rotating crystal technique),

types of crystals - molecular, covalent, metallic and ionic crystals - close packing of spheres – hexagonal, cubic

and body centred cubic packing, defects in crystals – stoichiometric, non-stoichiometric, extrinsic and intrinsic

defects.

Unit 5

Polymer and composite Materials

Conducting polymers: Conducting mechanisms - Electron transport and bipolar polymers. Photoconductive

polymers: Charge carriers, charge injectors, charge transport, charge trapping. Polymers for optical data storage

- principles of optical storage, polymers in recording layer. Thermo sensitive polymers: Applications -

Mechanical actuators and switches. Photo resists - Types - Chemically amplified photoresists -Applications.

Magnetic polymers - structure and Applications. Liquid crystalline polymers: Fundamentals and process, liquid

crystalline displays – applications. Organic LEDs-their functioning-advantages and disadvantages over

conventional LEDs - their commercial uses. Piezo electric materials.

Text Books

Vairam and Ramesh “Engineering Chemistry”, Wiley, 2012 Amrita Vishwa Vidyapeetham, Department of

Sciences, “Chemistry Fundamentals for Engineers”, McGraw Hill Education, 2015.

Reference Books

Jain and Jain, “Engineering Chemistry”, DhanpatRai Publishing company, 2015

Puri, Sharma and Patania, “ Principles of Physical chemistry”, Vishal Publishing Co., 2017.

Atkins, “Physical Chemistry”, OUP, Oxford, 2009

Evaluation Pattern





End Semester 50



Course Objective

The objective of the laboratory sessions is to enable the learners to get hands-on experience on the

principles discussed in theory sessions and to understand the applications of these concepts in

engineering.

Course Outcomes

CO1: Learn and apply basic techniques used in chemistry laboratory for small/large scale water

Analyses / Purification.

CO2: be able estimate the ions/metal ions present in domestic/industry waste water.

CO3: utilize the fundamental laboratory techniques for analyses such as titrations, separation/purification and

Spectroscopy.

CO4: able to analyze and gain experimental skill.

CO-PO Mapping


CO

CO 1 3 3 3 2 2

CO 2 3 3 2 2 2

CO 3 3 3 3 3 2

CO 4 3 3 3 3 2

Lab:

1. Estimation of alkalinity in given water samples

2. Adsorption of acetic acid by charcoal

3. Potentiometric titration – acid-base/redox

4. Conductometric titration

5. Estimation of hardness by ion-exchange method

6. Determination of molecular weight of polymer

7. Determination of cell constant and unknown concentration of electrolyte

8. Estimation of tin from stannate solution

9. Separation techniques – TLC, Column chromatography

10. Verification of B-L law by UV-spectrophotometer

Evaluation Pattern


Semester


End Semester 20

* CA – Principles of experiment, skill, result analysis and report

19CHY182 ENGINEERING CHEMISTRY LAB - B L-T-P-C: 0- 0-3-1

(EEE, ECE, CCE, and ELC)


Course Objectives

To provide the foundations of algorithmic thinking and problem solving

To focus on principles and methods rather than on systems and tools thus providing transferable skills

to any other domain

To provide foundations for developing computational perspective of one’s own discipline

Course Outcomes

CO 1: To Apply algorithmic thinking to understand, define and solve problems

CO 2: To Design and implement algorithm(s) for a given problem

CO 3: To Apply the basic programming constructs for problem solving

CO 4: To Understand an algorithm by tracing its computational states, identifying bugs and correcting them

CO-PO Mapping

Syllabus

Unit 1

Problem Solving and Algorithmic Thinking Overview – problem definition, logical reasoning; Algorithm –

definition, practical examples, properties, representation, algorithms vs programs.

Unit 2

Algorithmic thinking – Constituents of algorithms – Sequence, Selection and Repetition, input-output;

Computation – expressions, logic; algorithms vs programs, Problem Understanding and Analysis – problem

definition, input-output, variables, name binding, data organization: lists, arrays etc. algorithms to programs.

Unit 3

Problem solving with algorithms – Searching and Sorting, Evaluating algorithms, modularization, recursion. C

for problem solving – Introduction, structure of C programs, data types, data input, output statements, control

structures.

Text Book Riley DD, Hunt KA. Computational Thinking for the Modern Problem Solver. CRC press; 2014 Mar 27.

References Ferragina P, Luccio F. Computational Thinking: First Algorithms, Then Code. Springer; 2018.

Beecher K. Computational Thinking: A beginner's guide to Problem-solving and Programming.BCS Learning &

Development Limited; 2017.

Curzon P, McOwan PW. The Power of Computational Thinking: Games, Magic and Puzzles to help you

become a computational thinker. World Scientific Publishing Company; 2017.


CO

CO 1 1 1

CO 2 3 2 3 3 3 3 3

CO 3 2 1

CO 4 1 1 2 2

19CSE100 PROBLEM SOLVING AND ALGORITHMIC THINKING L-T-P-C: 2- 1- 3- 4


Evaluation Pattern


Semester

Periodical 1 10

Periodical 2 10

*Continuous Assessment (Theory)

(CAT)

15

Continuous Assessment (Lab)

(CAL)

30

End Semester 35 *CA – Can be Quizzes, Assignment, Projects, and Reports


Course Objectives

To provide an insight on the general structures of operating systems, database management systems

and computer networks.

Course Outcomes

CO 1: To Understand the basic components of computer systems and its functionality.

CO 2: To Demonstrate the functions of operating system and its role as a resource manager to execute any

Application.

CO 3: To Understand the need for database storage and learn to retrieve using SQL.

CO 4: To Implement the connection between operating systems, computer networks and database management

through a case Study.

CO-PO Mapping

Syllabus

Unit 1

Introduction to Computers, Computer Science, Computer Systems. Essential components of computer systems:

Operating Systems Fundamentals, Principles of Database Systems, Basic concepts in Computer Networks.

Installing a Linux virtual machine. Using package manager to install/update software. Understanding disk

partitions and obtaining partition information using system tools. Obtaining essential system resource utilization

and information using system tools and proc file system: disk utilization, memory utilization, process

information, CPU utilization. Pipes and redirection. Searching the file system using find and grep with simple

regular expressions. Basic process control using signals: pausing and resuming process from a Linux terminal,

terminating a process. Adding/removing from search path using PATH variable. Compressing/uncompressing

using tar/gzip and zip tools. Using man pages to understand tool documentation.

Unit 2

Querying a database using simple SQL commands. Writing simple SQL queries. Creating and editing tables.

Creating indexes to improve performance. Exporting and importing data from/to database tables to/from Excel.

Unit 3

Obtaining essential system network information using system tools: network interfaces and their addresses,

routing table, active processes using network communication. Basic network debugging: using traceroute to

discover route to a remote computer, ping to check network connectivity, nslookup for DNS lookup.

Understanding basic HTTP client and server using netcat. Using ssh and sftp.


CO

CO1 3 1 2 2 1

CO2 3 2 2 2 1

CO3 3 2 2 2 1

CO4 3 2 2 2 2 2 2 1

19CSE101 COMPUTER SYSTEMS ESSENTIALS L-T-P-C: 3- 0-3- 4


Text Book Brookshear JG. Computer science: an overview. Eleventh Edition, Addison-Wesley Publishing Company; 2011.

References Silberschatz A, Gagne G, Galvin PB. Operating system concepts. Ninth Edition, Wiley; 2012.

Cobbaut P. Linux Fundamentals. Samurai Media Limited; 2016.

Silberschatz A, Korth HF, Sudarshan S. Database system concepts. Sixth Edition, McGraw Hill;2010.

Kurose JF, Ross KW. Computer networking: a top-down approach. Sixth Edition, Pearson;2013.

Evaluation Pattern:


Semester

Periodical 1 10

Periodical 2 10


(CAT)

15

Continuous Assessment (Lab)

(CAL)

30

End Semester 35 *CA – Can be Quizzes, Assignment, Projects, and Reports.


Course Objective

Computer Hardware Essentials is designed to introduce students to a basic understanding of the

different types of computing devices, computer components (CPU, memory, power supplies, etc.), and

Operating systems as well as maintaining and troubleshooting the basic hardware and software issues.

In addition to this, this course will also cover hardware and software aspects of Single Board Computer

and Physical Computing with hands-on practical.

Course Outcomes

CO 1: To understanding the working principles of different computing devices (desktop computers, laptops,

etc.)

CO 2: To understand PC and laptop hardware components

CO 3: To understand peripheral devices, storage devices, displays and connection interfaces and troubleshoot

Common hardware issues

CO 4: To understand the procedure for Installation of OS - Linux and Supporting, upgrading and

Troubleshooting OS related issues.

CO 5: To understand the concepts of Physical Computing and related use cases

CO-PO Mapping


CO

CO1 3 1 1 3 2

CO2 3 2 1 3 2

CO3 2 1 3 2

CO4 1 1 2 3 2

CO5 1 1 1 2 2 1 1 3 2

Syllabus

Unit 1

Disassembling a PC to its basic components, identifying the components, bus subsystems, main chipsets on the

motherboard (northbridge, southbridge), and reassembling it back.

Unit 2

Building a fully functional computer using Raspberry Pi (e.g., Pi Zero W), small low cost HDMI/VGA display,

user input devices, running Linux. Reinstalling and configuring on-board Linux. Connecting to network.

Unit 3

Physical Computing Basic: Reading GPIO input and output using command line tools (gpio utility) and simple

python scripts.

Text Book

Margolis M. Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects.Third Edition, O'Reilly

Media, Inc.; 2014.

References

Halsey M. Windows10 Troubleshooting. Apress; 2016.

Soyinka W. Linux Administration: A Beginner’s Guide. Fifth Edition, Mc Graw Hill Professional;2008.

19CSE180 COMPUTER HARDWARE ESSENTIALS L-T-P-C: 0-0-3-1


Evaluation Pattern


Semester




Course Objective

To introduce students to the depths and richness of the Indian culture and knowledge traditions.

To enable them to obtain a synoptic view of the grandiose achievements of India in diverse fields.

To equip students with a knowledge of their country and its eternal values.

Course Outcomes

CO1: Be introduced to the foundational concepts of Indian culture and heritage, the cultural ethos of Amrita

Vishwa Vidyapeetham, and Amma’s life and vision of holistic education

CO2: To Understand the foundational concepts of Indian civilization like purusharthas, karma-siddhanta,

Indian Society and Varna-ashrama-dharma which contributes towards personality growth.

CO3: To Gain a positive appreciation of symbols of Indian culture, itihasas, festivals, traditions and the spirit

Of living in harmony with nature

CO4: To Imbibe the principles and practices of Yoga.

CO5: Get guidelines for healthy and happy living from the great spiritual masters.

CO-PO Mapping


CO

CO1 2 1 3

CO2 1 1 3 2 3

CO3 1 2 3 1 3

CO4 3 3 3 3 3

CO5 1 1 3 3 3

Syllabus

Unit 1

Introduction to Indian culture; Understanding the cultural ethos of Amrita Vishwa Vidyapeetham; Amma’s life

and vision of holistic education.

Unit 2

Goals of Life – Purusharthas; Introduction to Varnasrama Dharma; Law of Karma; Practices for Happiness.

Unit 3

Symbols of Indian Culture; Festivals of India; Living in Harmony with Nature; Relevance of Epics in Modern

Era; Lessons from Ramayana; Life and Work of Great Seers of India.

Text Book Cultural Education Resource Material Semester-1

19CUL101 CULTURAL EDUCATION I L-T-P-C: 2-0-0-2


Reference Book(s)

The Eternal Truth (A compilation of Amma’s teachings on Indian Culture)

Eternal Values for a Changing Society. Swami Ranganathananda. BharatiyaVidyaBhavan.

Awaken Children (Dialogues with Mata Amritanandamayi) Volumes 1 to 9

My India, India Eternal. Swami Vivekananda. Ramakrishna Mission.

Evaluation Pattern:


Semester






Course Objective

To give an insight into computers and computer systems, how they work and how they are constructed

and programmed.

Enable students to gain an understanding of the way computers store and process information

This course also helps the students to understand the organization of hardware, the way computer

networks work, the principles used to produce efficient and reliable software, the basic database

concepts and query language

Course Outcome

CO1: To realize how data is represented and stored in a computer

CO2: To understand the data manipulation process in a computer.

CO3: To learn the fundamentals & structure of Operating Systems.

CO4: To understand how computers can be linked together to share information and resources.

CO5: Be successful professionals in the field with solid fundamental knowledge of software engineering that

will help the students to design and develop efficient, reliable software products.

CO6: Demonstrate understanding of the basic definitions of relational database theory

CO7: To introduce the theory and practice of computer graphics.

CO8: To understand the basics of Internet of Things (IoT) and design simple IoT systems for societal b

CO-PO Mapping

CO/P

O

PO

1

PO

2

PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

CO1 3 2

CO2 3 3 2

CO3 3 3 3 2

CO4 3 3 3 1 2

CO5 3 3 3 2 1 2

CO6 3 3 3 3 2 2

CO7 3 3 3 2 1 2

CO8 3 3 3 3 2 1 2 1

Syllabus

Unit 1

Introduction to Computer Science: Role of Algorithms, History of Computing, Science of Algorithms,

Abstractions. Basics of data encoding and storage: Bits and their storage, Main memory, Mass Storage,

Representing Information as Bit Patterns. Machine Architecture: CPU Basics, Stored Program concepts,

Machine Language Introduction with example, Program Execution with illustrative example.

Unit 2

Operating Systems: History of OS, OS Architecture, Coordinating Machine Activities. Networking and the

Internet: Network Fundamentals, The Internet, The World Wide Web. Software Engineering: Introduction,

Software Life Cycle. Database Systems: Database Fundamentals, Relational Model.

Unit 3

Computer Graphics: Scope of Computer Graphics, Overview of 3D Graphics. Artificial Intelligence:

Intelligence and Machines, Perception, Reasoning. An Introduction to topics of research in the department.

19EAC101 INTRODUCTION TO COMPUTER ENGINEERING L-T-P-C: 3- 0- 0 -3


Unit 4

IoT-An Architectural Overview–Building an architecture, Main design principles and needed capabilities, An

IoT architecture outline, standards considerations. M2M and IoT Technology Fundamentals, Real –world

Design Constraints

Text Book

J. Glenn Brookshear, “Computer Science: An Overview”, Addison-Wesley, Twelfth Edition, 2014.

Jan Holler, VlasiosTsiatsis, Catherine Mulligan, Stefan Avesand, StamatisKarnouskos, David Boyle, “From

Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence”,1stEdition, Academic

Press, 2014.

Evaluation Pattern


Semester






Course Objective

To develop basic Programming Skills through Graphical Programming

To learn Hardware Interfacing and Debugging Techniques

To design and develop Android App for Smart Home Automation

Course Outcomes

CO 1: Able to demonstrate various sensor interfacing using Visual Programming Language.

CO 2: Able to analyze various Physical Computing Techniques.

CO 3: Able to demonstrate Wireless Control of Remote Devices.

CO 4: Able to design and develop Mobile Application which can interact with Sensors and Actuators.

CO-PO Mapping


CO

CO1 3 2

CO2 3 2 3 2

CO3 3 3

CO4 3 3 3 3 2 2 2 2 3 3 3 2

Contents

1. Digital I/O Interface - Multicolour Led, IR Sensor, PIR, Slot Sensor

2. Analog Read and Write - Potentiometer, Temperature Sensor, Led Brightness Control

3. Dc Motor Control - Dc Motor Speed and Direction Control

4. Fabrication and direction control of wheeled robot using Arduino

5. Serial Communication - Device Control

6. Wireless Module Interface - Bluetooth and Wifi

7. Wireless Control of wheeled Robot using Bluetooth/Wifi

8. Basic Android App Development using MIT App Inventor

9. Smart Home Android App Development using App Inventor and Arduino

10. Assembly of Quadcopter/Tello Mini Drone

11. Programming and Flight Control of Quadcopter

Text Books/References Sylvia Libow Martinez, Gary S Stager, Invent To Learn: Making, Tinkering, and Engineering in the

Classroom, Constructing Modern Knowledge Press, 2016

Michael Margolis, Arduino Cookbook, Oreilly, 2011

Evaluation Pattern


Semester


End Semester 20

19ECE101 INTRODUCTION TO INTERNET OF THINGS L-T-P-C: 0-0-3-1


Course Objectives

To impart basic knowledge of electrical quantities and provide working knowledge for the analysis of

DC and AC circuits.

To understand the construction and working principle of DC and AC machines.

To facilitate understanding of basic electronics and operational amplifier circuits.

Course Outcomes

CO 1: Understand the basic electric and magnetic circuits

CO 2: Analyse DC and AC circuits

CO 3: Interpret the construction and working of different types of electrical machines

CO 4: Analyse basic electronic components and circuits.

CO-PO Mapping


CO

CO1 3 3 - - - - - - - - - - - -

CO2 3 3 - 1 - - - - - - - - -

CO3 3 3 - - - - - - - - - - -

CO4 3 3 3 2 - 1 - - - - - - - -

Syllabus

Unit 1

Introduction to Electrical Engineering, Current and Voltage sources, Resistance, Inductance and Capacitance;

Ohm’s law, Kirchhoff’s law, Energy and Power – Series parallel combination of R, L, C components, Voltage

Divider and Current Divider Rules – Super position Theorem, Network Analysis – Mesh and Node methods-

Faraday’s Laws of Electro-magnetic Induction, Magnetic Circuits, Self and Mutual Inductance, Generation of

sinusoidal voltage, Instantaneous, Average and effective values of periodic functions, Phasor representation.

Introduction to 3-phase systems, Introduction to electric grids.

Unit 2

Electrical Machines: DC Motor: Construction, principle of operation, Different types of DC motors, Voltage

equation of a motor, significance of back emf, Speed, Torque, Torque-Speed characteristics, Output Power,

Efficiency and applications. Single Phase Transformer: Construction, principle of operation, EMF Equation.

Regulation and Efficiency of a Transformer. Induction Machine: Three Phase Induction Motor: Construction

and Principle of Operation, Slip and Torque, Speed Characteristics. Stepper motor: Construction, principle and

mode of operation.

Unit 3

PN Junction diodes, VI Characteristics, Rectifiers: Half wave, Full wave, Bridge. Zener Diode- characteristics,

Optoelectronic devices. BJT – characteristics and configurations, Transistor as a Switch. Junction Field Effect

Transistors - operation and characteristics, Thyristor – Operation and characteristics. Fundamentals of DIAC

and TRIAC. 555 Timer, Integrated circuits. Operational Amplifiers – Inverting and Non-inverting amplifier –

Instrumentation amplifiers.

19EEE100 BASIC ELECTRICAL AND ELECTRONICS ENGINEERING L-T-P-C: 3-0-0-3

(Aerospace, Civil, Mechanical, ECE,CCE and Chemical Engineering)


Text Books

Edward Hughes. “Electrical and Electronic Technology”, 10th

Edition, Pearson Education Asia, 2019.

D. P. Kothari, I J Nagrath, “Electric Machines”, 5th

Edition, Tata McGraw Hill, 2017.

A. P. Malvino, “Electronic Principles”, 7th


References

S. K. Bhattcharya, “Basic Electrical and Electronics Engineering”, Pearson, 2012.

Vincent Del Toro, “Electrical Engineering Fundamentals”, Prentice Hall of India Private Limited, 2nd

Edition,

2003.

David A. Bell, “Electronic Devices and Circuits”, 5th

Edition, Oxford University Press, 2008.

Michael Tooley B. A., “Electronic circuits: Fundamentals and Applications”, 3rd

Edition, Elsevier Limited,

2006.

Evaluation Pattern


Semester




End Semester 50



Course Objective

To understand the basics of electrical connections and analyse the performance of electrical machines

and electronic circuits.

Course Outcome

CO1: To create basic electrical connections for domestic applications

CO2: To measure the various electrical parameters in the circuit

CO3: To Analyse the performance of electrical machines.

CO4: To Analyse basic electronic circuits.

CO-PO Mapping


CO

CO1 3 2 2 3 1

CO2 3 2 3 1

CO3 3 1 2 2 3 1

CO4 3 1 2 3

LIST OF EXPERIMENTS:

Electrical

1. a) Wiring practices

b) Study of Electrical protection systems.

2. Verification of circuit theorem

3. Experiment on DC machine

4. Experiment on single phase Transformer

5. Experiment on induction motor

6. VI characteristics of PN junction and Zener diode

7. Implementation of Half wave and Full wave rectifier using PN junction diode

8. Transistor as a switch

9. Experiment on Thyristor

10. Implementation of inverting and non-inverting amplifier using Op-amp

REFERENCES / MANUALS / SOFTWARE:

Lab Manuals

Evaluation Pattern


Semester


End Semester 20


19EEE181 BASIC ELECTRICAL AND ELECTRONICS ENGINEERING LAB L-T-P-C: 0-0-3-1

(Aerospace, Civil, Mechanical, ECE, CCE and Chemical Engineering)


Course Objective

To impart basic knowledge of electrical quantities and provide working knowledge for the analysis of

DC and AC circuits.

Understand the characteristics and applications of diode and Transistors.

To facilitate understanding of Thyristors and operational amplifier circuits.

Course Outcomes

CO1: To Understand the basic electric circuits

CO2: To Analyse DC and AC circuits

CO3: To Understand the characteristics and applications of Diode and Transistors

CO4: To Analyse basic electronic circuits and applications.

CO-PO Mapping


CO

CO1 3 3 - - - - - - - - - - - -

CO2 3 3 - 1 - - - - - - - - -

CO3 3 3 3 2 - - - - - - - - -

CO4 3 3 3 - - 1 - - - - - - - -

Syllabus

Unit 1

Introduction to Electrical Engineering, current and voltage sources, Resistance, Inductance and Capacitance;

Ohm’s law, Kirchhoff’s law, Energy and Power – Series parallel combination of R, L, C components, Voltage

Divider and Current Divider Rules – Super position Theorem, Network Analysis – Mesh and Node methods-

Faraday’s Laws of Electro-magnetic Induction, Magnetic Circuits, Self and Mutual Inductance, Generation of

sinusoidal voltage, Instantaneous, Average and effective values of periodic functions, Phasor representation.

Introduction to 3-phase systems, Introduction to electric grids.

Unit 2

PN Junction diodes, Diode Characteristics, Diode approximation- Clippers and Clampers, Rectifiers: Half wave,

Full wave, Bridge- Zener Diode- Design of regulator and characteristics, Optoelectronic devices, Introduction to

BJT, Characteristics and configurations, Transistor as a Switch

Unit 3

Field Effect Transistors – Characteristics, Thyristors – operation and characteristics, Diac, Triac –Thyristor

based power control, IC 555 based Timer-multi-vibrators, Operational Amplifiers – Inverting and Non-inverting

amplifier, Oscillators, Instrumentation amplifiers.

Text Books

Edward Hughes. “Electrical and Electronic Technology”, 10th

Edition, Pearson Education Asia, 2019.

A. P. Malvino, “Electronic Principles”, 7th


19EEE111 ELECTRICAL AND ELECTRONICS ENGINEERING L-T-P-C: 3-0-0-3

(ECE, CCE, CSE, and EAC)


References

S. K. Bhattcharya, “Basic Electrical and Electronics Engineering”, Pearson, 2012.

Vincent Del Toro, “Electrical Engineering Fundamentals”, Prentice Hall of India Private Limited, 2nd

Edition,

2003.

David A. Bell, “Electronic Devices and Circuits”, 5th

Edition, Oxford University Press, 2008.

Michael Tooley B. A., “Electronic circuits: Fundamentals and Applications”, 3rd

Edition, Elsevier Limited,

2006.

Evaluation Pattern


Semester




End Semester 50



Course Objective

To have hands on experience to create and construct electrical connections and electronic circuits.

Course Outcomes

CO1: To Create basic electrical connections for domestic applications

CO2: To measure the various electrical parameters in the circuit

CO3: To construct and analyze basic electronic circuits

CO4: To construct the amplifier circuits using Op-Amp

CO-PO Mapping


CO

CO1 3 2 2 3 1

CO2 3 2 3 1

CO3 3 1 2 2 3 1

CO4 3 1 2 3 1

LIST OF EXPERIMENTS:

Electrical

1. a)Wiring practices

b) Study of Electrical protection systems.

2 Verification of circuit theorem

3 VI characteristics of PN junction and Zener diode

4 Implementation of Half wave and Full wave rectifier using PN junction diode

5 Transistor as a switch

6 Characteristics of BJT

7. Experiment on Thyristor

8. Implementation of inverting and non-inverting amplifier using Op-amp

9. Experiments on Oscillators and Multivibrators

REFERENCES / MANUALS / SOFTWARE:

Lab Manuals

Evaluation Pattern


Semester


End Semester 20


19EEE182 ELECTRICAL AND ELECTRONICS ENGINEERING PRACTICE L-T-P-C: 0-0-3-1

(ECE, CCE, CSE, and EAC)


Course Objectives

To introduce the students to the fundamentals of mechanics of writing

To facilitate them with the style of documentation and specific formal written communication

To initiate in them the art of critical thinking and analysis

To help them develop techniques of scanning for specific information, comprehension and organization

of ideas

To enhance their technical presentation skills

Course Outcomes

CO1: To gain knowledge about the mechanics of writing and the elements of formal correspondence

CO2: To understand and summarise technical documents

CO3: To apply the basic elements of language in formal correspondence

CO4: To interpret and analyze information and to organize ideas in a logical and coherent manner

CO5: To compose project reports/ documents, revise them for language accuracy and make technical

presentations

CO-PO Mapping


CO

CO1 3

CO2 1 2

CO3 3

CO4 1 2

CO5 2 1

Syllabus

Unit 1

Mechanics of Writing: Grammar rules -articles, tenses, auxiliary verbs (primary & modal) prepositions, subject-

verb agreement, pronoun-antecedent agreement, discourse markers and sentence linkers

General Reading and Listening comprehension - rearrangement & organization of sentences

Unit 2

Different kinds of written documents: Definitions- descriptions- instructions-recommendations- user manuals -

reports – proposals

Formal Correspondence: Writing formal Letters

Mechanics of Writing: impersonal passive & punctuation

Scientific Reading & Listening Comprehension

Unit 3

Technical paper writing: documentation style - document editing – proof reading - Organising and formatting

Mechanics of Writing: Modifiers, phrasal verbs, tone and style, graphical representation

Reading and listening comprehension of technical documents

Mini Technical project (10 -12 pages)

Technical presentations

19ENG111 TECHNICAL COMMUNICATION L-T-P-C: 2- 0- 3- 3


References

Hirsh, Herbert. L “Essential Communication Strategies for Scientists, Engineers and Technology

Professionals”. II Edition. New York: IEEE press, 2002

Anderson, Paul. V. “Technical Communication: A Reader-Centred Approach”. V Edition. Harcourt Brace

College Publication, 2003

Strunk, William Jr. and White. EB. “The Elements of Style” New York. Alliyan& Bacon, 1999.

Riordan, G. Daniel and Pauley E. Steven. “Technical Report Writing Today” VIII Edition (Indian Adaptation).

New Delhi: Biztantra, 2004.

Michael Swan. ‘’ Practical English Usage’’, Oxford University Press, 2000

Evaluation Pattern


Periodical 1 10

Periodical 2 10

*Continuous

Assessment (Theory)

(CAT)

10

Continuous

Assessment (Lab)

(CAL)

40

End Semester 30



Course Objective

To understand basic functions, differentiation and integrations.

To understand the concept of limit and continuous functions.

To use calculus for maxima and minima.

Course Outcomes

CO1: To understand the concepts of single variable calculus.

CO2: To sketch graphs for functions using the concepts of single variable calculus and apply the

Fundamental theorem of calculus to evaluate integrals.

CO-PO Mapping

CO / PO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 1 3 --- --- --- --- --- --- --- --- --- ---

CO2 1 2 --- --- 2 --- --- --- --- --- --- ---

Syllabus

Unit 1

Calculus

Graphs: Functions and their Graphs. Shifting and Scaling of Graphs. (1.5)

Unit 2

Limit and Continuity: Limit (One Sided and Two Sided) of Functions. Continuous Functions, Discontinuities,

Monotonic Functions, Infinite Limits and Limit at Infinity. (2.1, 2.6)

Unit 3

Graphing : Extreme Values of Functions, Concavity and Curve Sketching, (4.1, 4.4).

Unit 4

Integration: Definite Integrals, The Mean Value Theorem for definite integrals, Fundamental Theorem of

Calculus, Integration Techniques. (5.2 - 5.3, 8.1 – 8.5)

Text Book

Calculus’, G.B. Thomas Pearson Education, 2009, Eleventh Edition.

Reference

‘Calculus’, Monty J. Strauss, Gerald J. Bradley and Karl J. Smith, 3rd

Edition, 2002

Evaluation pattern

Assessment Weightage

Test 1 (after 8th

Lecture hr) 25


Test 2 (after 15th

Lecture hr) 50


19MAT101 SINGLE VARIABLE CALCULUS L-T-P-C: 1-0 - 0 -1


Course Objectives

To solve simultaneous algebraic equations using methods of matrix algebra.

To understand basics of matrix algebra and determinants.

To use eigenvalues and eigenvectors in practical problems.

Course Outcomes

CO1: Understand the notion of eigenvalues and eigenvectors, analyze the possibility of diagonalization and

hence compute a diagonal matrix, if possible.

CO2: Apply the knowledge of diagonalization to transform the given quadratic form into the principal axes for

and analyze the given conic section.

CO3: Understand the advantages of the iterative techniques and apply it to solve the system of equations and

finding eigenvectors.

CO-PO Mapping


CO

CO1 3 2 1

CO2 2 3 1

CO3 3 1

Syllabus:

Unit 1

Review: System of linear Equations, linear independence.

Unit 2

Eigen values and Eigen vectors: Definitions and properties. Positive definite, negative definite and indefinite. (8

hrs)

Unit 3

Diagonalization and Orthogonal Diagonalization. Properties of Matrices. Symmetric and Skew Symmetric

Matrices, Hermitian and Skew Hermitian Matrices and Orthogonal matrices.

Unit 4

Numerical Computations: L U factorization, Gauss Seidal and Gauss Jacobi methods for solving system of

equations. Power Method for Eigen Values and Eigen Vectors.

Text Book

Advanced Engineering Mathematics, E Kreyszig, John Wiley and Sons, Tenth Edition, 2018.

19MAT102 MATRIX ALGEBRA L-T-P-C: 2- 0 -0- 2


Reference Books

Advanced Engineering Mathematics by Dennis G. Zill and Michael R.Cullen, second edition, CBS Publishers,

2012.

Engineering Mathematics’, Srimanta Pal and Subhodh C Bhunia, John Wiley and Sons, 2012, Ninth Edition.

Evaluation Pattern


Test 1 (after 15th

Lecture hr) 25


Test 2 (after 30th

Lecture hr) 50



Course Objective

The student should master the representation and properties of matrices, to then use them for solving

linear systems of equations encountered in the chemical engineering context.

They should understand how matrices are used in linear transformations between vector spaces (such

as with mass and energy balance equations).

Students are expected to learn the basics of curve fitting to aid in modeling chemical engineering

process phenomena.

Course Outcomes

CO1: Using the basic concepts of vector and matrix algebra, including linear dependence / independence, basis

And dimension of a subspace, rank and nullity, vector and inner product spaces, analyze matrices and

systems of linear algebraic equations.

CO2: Using appropriate numerical techniques, solve systems of linear algebraic equations and determine

inverses of invertible matrices and apply these solutions to engineering problems.

CO3: Use the characteristic polynomial to compute the eigenvalues and eigenvectors of a square matrix,

diagonalize matrices, identify linear transformations of finite dimensional vector spaces and compose

their matrices. Apply the eigensystem analysis to solve engineering problems.

CO4: Develop numerical techniques to solve single and systems of nonlinear algebraic equations and apply

them to solve engineering problems.

CO5: Define correlation between variables, use it to develop linear regression models and apply them to

engineering problems.

CO6: Use software for scientific computation (e.g., MATLAB), to enhance and facilitate mathematical

understanding, as well as an aid in solving engineering problems and presenting solution

CO-PO Mapping


CO

CO1 2 3 3 3 3 2 2 2 2

CO2 2 3 3 3 3 2 2 2 2

CO3 2 3 3 3 3 2 2 2 2

CO4 2 3 3 3 3 2 2 2 2

CO5 2 3 3 3 3 2 2 2 2

CO6 2 3 3 3 3 3 3 2 2 2

Syllabus

Unit 1

Vectors and Vector Spaces: Inner Products, Linear Dependence, Dimension, Basis, Gram-Schmidt

Orthonormalization; Matrix Representation of Vectors: Matrix Algebra and Vector Algebra.

Systems of Linear Algebraic Equations: Cramer’s Rule, Gauss Elimination, Gauss-Seidel Iteration, Diagonal

Dominance, Tridiagonal Matrix Algorithm (TDMA); Applications: Mass Balance in Flow Sheets, Flow

networks, solving electrical circuit problems, stoichiometric equations, Linear ODEs and Linear PDEs

19MAT103 LINEAR ALGEBRA FOR CHEMICAL ENGINEERING. L-T-P-C: 3-1 -0- 4


Unit 2

Eigenvalues and Eigenvectors: Definitions and Properties, Positive definite, Negative Definite and Indefinite

Matrices, Diagonalization and Orthogonal Diagonalization, Quadratic form, Transformation of Quadratic Form

to Principal axes, Symmetric and Skew Symmetric Matrices, Hermitian and Skew Hermitian Matrices and

Orthogonal Matrices; Power Method for Eigenvalues and Eigenvectors, Applications to Principal Component

Analysis.

Unit 3

Solution of nonlinear Algebraic Equations: nonlinear algebraic equations; analytical techniques and Numerical

techniques for solving single nonlinear equations; Numerical techniques for solving systems of nonlinear

equations – Bisection method and Newton-Raphson method. Systems of nonlinear Algebraic Equations:

Multivariable Newton-Raphson Method; Applications: Fluid Mechanics, Thermodynamics (Engines), Equation

of State, Vapor-Liquid Equilibrium, Conversion in Reversible Reactions.

Linear Regression: Least Squares, Interpolation and Curve Fitting, Applications: Correlations for

Thermodynamic and Transport Properties.

Lab Practice: Iterative methods in matrix theory, power method, bisection and newton Raphson methods, linear

regression and curve fitting.

Text Books

Gilbert Strang, Linear Algebra and Its Applications, 4th

Edition, Cengage Learning, 2006

Erwin Kreyszig, Advanced Engineering Mathematics, 10th

Edition, Wiley-India Pvt. Ltd., 2011

Bruce A. Finlayson, Introduction to Chemical Engineering Computing, John Wiley & Sons, 2006

Reference Books

Michael Greenberg, Advanced Engineering Mathematics, 2nd Edition, Pearson, 2011

Kenneth J. Beers, Numerical Methods for Chemical Engineering: Applications in MATLAB, Cambridge

University Press, 2006

AlkisConstantinides, NavidMostoufi, Numerical Methods for Chemical Engineers with MATLAB Applications,

Prentice Hall International Series, 1999.

Pradeep Ahuja, Introduction to Numerical Methods in Chemical Engineering, PHI Learning Pvt Ltd, 2010

Evaluation Pattern


Semester

Periodical 1 10

Periodical 2 10


(CAT)

45

End Semester 35



Course Objectives

To solve simultaneous algebraic equations using methods of matrix algebra.

To understand basics of matrix algebra and determinants.

To use vector space methods and diagonalization in practical problems.

Course Outcomes

CO1: Apply concepts of matrix algebra for solving simultaneous linear algebraic equations.

CO2: Understand the power of mathematical abstraction through introduction and application of concepts like

vector spaces inner product spaces and linear transformations.

CO-PO Mapping


CO

CO1 2 2 2 1 1 1 2

CO2 3 2 1 1 2 2 1

Syllabus

Unit 1

Vectors in Rn, notion of linear independence and dependence, linear span of a set of vectors, vector subspaces of

Rn, basis of a vector subspace.

Unit 2

Linear system of equations, Gauss elimination, Linear independence, Rank of a matrix, row space and column

space, existence and uniqueness of system of linear equations, Determinants, Cramer’s’ rule, Inverse of a

matrix, Gauss-Jordan elimination.

Unit 3

Vector spaces, subspaces, linear independence, basis, dimension, change of basis, row, column and null spaces,

linear transformation, eigen values and eigen vectors, diagonalization, inner product spaces, Gram-Schmidt

orthogonalisation.

Text Book

Elementary Linear Algebra, Howard Anton and Chris Rorres, 11th

Edition, Wiley, 2015.

Linear algebra: A modern introduction, D Poole. Cengage Learning,4th

Edition 2015.

Engineering Mathematics, Srimanta Pal and Subodh C Bhunia, , John Wiley and Sons, 2012, Ninth Edition.

Evaluation Pattern


Test 1 (after 15th

Lecture hr) 25


Test 2 (after 30th

Lecture hr) 50


19MAT104 BASIC LINEAR ALGEBRA L-T-P-C: 2-0-0-2

(Mechanical Engineering)


Course Objectives

The course will lay down the basic concepts and techniques of linear algebra, calculus and basic

probability theory needed for subsequent study.



At the same time, it will provide an appreciation of the wide application of these disciplines within the

scientific field.

Another goal of the course is to provide connection between the concepts of linear algebra, differential

equation and probability theory.

Course Outcomes

CO1: To develop an understanding of the basic concepts and techniques of linear algebra, calculus and basic

Probability theory needed for AI.

CO2: To provide an appreciation of the wide application of these disciplines within the scientific field.

CO3: To provide connection between the concepts of linear algebra, differential equation and probability

theory.

CO4: To develop an insight into the applicability of linear algebra in business and scientific domains

CO5: To enable the students to understand the use of calculus and Linear algebra in modelling electrical and

Mechanical elements

CO6: To equip the students to understand the role of probability theory in providing data sets for computational

Experiments in data science

CO-PO Mapping

Syllabus

Unit 1

Basics of Linear Algebra - Linear Dependence and independence of vectors - Gaussian Elimination - Rank of

set of vectors forming a matrix - Vector space and Basis set for a Vector space - Dot product and Orthogonality

- Rotation matrices - Eigenvalues and Eigenvectors and its interpretation - Projection matrix and Regression –

Singular Value Decomposition.

Unit 2

Convolution sum, Convolution Integral, Ordinary Linear differential equations, formulation, analytical and

Numerical solutions, Impulse Response Computations, formulating state space models of Physical systems.

Unit 3

Examples of ODE modelling in falling objects, satellite and planetary motion, Electrical and mechanical

systems. Multivariate calculus, Taylor series, Introduction to Optimization.

Unit 4

Introduction to Probability Distributions and Monte Carlo Simulations.

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 2 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

CO4 3 3 3 2 3 3 2 3 3

CO5 3 2 3 3 3 3 2 3 3

CO6 3 3 3 3 3 2 3 2 3 3

19MAT105 MATHEMATICS FOR INTELLIGENT SYSTEMS 1 L-T-P-C: 1- 2 -0-3



Gilbert Strang, Linear Algebra and Learning from Data, Wellesley, Cambridge press, 2019.

William Flannery, Mathematical Modelling and Computational Calculus, Vol-1, Berkeley Science Books, 2013.



Semester


End Semester 20





Course Objective

To model mechanical systems using differential equations.

To analyse and solve ordinary differential equations.

To understand numerical methods for solving ordinary differential equations.

Course Outcomes

CO1: To frame and solve homogeneous and non-homogeneous ordinary differential equations corresponding to

Different practical scenarios.

CO2: Apply the geometric state space approach to the analysis of ODEs to understand qualitative features.

CO3: To understand and apply the numerical methods for solving ordinary differential equations.

CO-PO Mapping


CO

CO1 3

CO2 2 3

CO3 1 2 2 3

Syllabus

Unit 1

Ordinary Differential Equations : Linear Differential Equations and Bernoulli Equation. Modelling Problems:

Mixing Problem, Electric Circuits and vibration of strings.

Unit 2

Second Order Differential Equations: Euler-Cauchy Equations, Solution by Undetermined Coefficients,

Solution by Variation of Parameters. System of ODEs, Basic Concepts and Theory, Homogeneous Systems and

Non-homogeneous with Constant Coefficients. System of differential equations.

Unit 3

Computational Methods: Euler’s methods, Runge-Kutta method.

Text Book


Reference Books

‘Engineering Mathematics’, Srimanta Pal and Subhodh C Bhunia, John Wiley and Sons, 2012, Ninth Edition.


2012.

Evaluation Pattern


Test 1 (after 15th

Lecture hr) 25


Test 2 (after 30th

Lecture hr) 50


19MAT106 ORDINARY DIFFERENTIAL EQUATION L-T-P-C: 2-0-0-2


Course Objective

To understand parameterisation of curves and to find arc lengths.

To familiarise with calculus of multiple variables.

To use important theorems in vector calculus in practical problems.

Course Outcomes

CO1: Select suitable parameterization of curves and to find their arc lengths

CO2: Find partial derivatives of multivariable functions and to use the Jacobian in practical problems.

CO3: Apply Fundamental Theorem of Line Integrals, Green’s Theorem, Stokes’ Theorem, or Divergence

Theorem to evaluate integrals.

CO-PO Mapping


CO

CO1 1 3 --- --- --- --- --- --- --- --- --- ---

CO2 1 2 --- --- 2 --- --- --- --- --- --- ---

CO3 2 2 3

Syllabus

Unit 1

Functions of severable variables

Functions, limit and continuity. Partial differentiations, total derivatives, differentiation of implicit functions

and transformation of coordinates by Jacobian. Taylor’s series for two variables.

Unit 2

Vector Differentiation

Vector and Scalar Functions, Derivatives, Curves, Tangents, Arc Length, Curves in Mechanics, Velocity and

Acceleration, Gradient of a Scalar Field, Directional Derivative, Divergence of a Vector Field, Curl of a Vector

Field.

Unit 3

Vector Integration

Line Integral, Line Integrals Independent of Path.

Green’s Theorem in the Plane, Surfaces for Surface Integrals, Surface Integrals, Triple Integrals – Gauss

Divergence Theorem, Stoke’s Theorem.

Unit 4

Lab Practice Problems:

Graph of functions of two variables, shifting and scaling of graphs. Vector products. Visualizing different

surfaces.

Text Book


Reference Book(s)


2012.

‘Engineering Mathematics’, Srimanta Pal and Subhodh C Bhunia, John Wiley and Sons, 2012, Ninth Edition.

‘Calculus’, G.B. Thomas Pearson Education, 2009, Eleventh Edition.

19MAT111 MULTIVARIABLE CALCULUS L-T-P-C:2- 0-0 -2


Evaluation pattern


Test 1 (after 15th

Lecture hr) 25


Test 2 (after 30th

Lecture hr) 50



Course Objectives

To develop drawings using Bureau of Indian Standards (BIS)

To communicate effectively through drawings

To enhance visualization skills, which will facilitate the understanding of engineering systems.

Note:

1. Drawing practice to be carried out using drafting package (Auto-CAD)

2. First angle projection to be followed

Course Outcomes

CO1: Understand the engineering drawing standards and their usage

CO2: Interpret engineering drawings

CO3: Construct and dimension 2-D geometries using CAD software

CO4: Improve coherent visualization skills

CO5: Understand the concepts of orthographic projections and isometric projection

CO-PO Mapping


CO

CO1 3 3 3 3 1 2 3 1 2 3 3 2 2 2

CO2 3 3 3 3 2 3 1 2 3 3 2 2 2

CO3 3 3 3 3 3 2 3 1 2 3 3 2 2 2

CO4 3 3 3 3 2 3 1 2 3 3 2 2 2

CO5 3 3 3 3 3 2 3 1 2 3 3 2 2 2

Syllabus

Unit 1

Basic principles of engineering drawing, Standards and conventions, lettering and types of lines, Introduction to

drafting software, standard tool bar/menus, navigational tools. Co-ordinate system and reference planes.

Creation of 2 dimensional drawing environment. Selection of drawing size and scale. Sketching of 2D simple

geomentries, editing and dimensioning of 2D geomentries.

Unit 2

Orthographic Projections: Introduction, planes of projection, projection of points in all the four quadrants.

Projection of straight lines, Projection of Plane Surfaces, Projection of regular solids, Sectioning of solids

Unit 3

Plan and elevation of simple buildings with dimensions

Text Book

BasantAgarwal and C M Agarwal., “Engineering Drawing”, 2e, McGraw Hill Education, 2015

19MEE100 ENGINEERING GRAPHICS - CAD L-T-P-C: 2-0-3-3

(Aerospace, Chemical, CSE, ECE, CCE, EEE and ELC)


Reference Book(s)

Bhat N.D. and Panchal V.M. , “ Engineering Drawing Plane and Solid Geometry , 42e, Charoatar Publishing

House , 2010James D. Bethune, “Engineering Graphics with AutoCAD”, Pearson Education, 2014

K.R. Gopalakrishna, “Engineering Drawing”, 2014, Subhas Publications

Narayan K.L. and Kannaiah P, Engineering Drawing, SciTech Publications, 2003

John K.C., “Engineering Graphics for Degree”, 1e, Prentice Hall India, 2009

Evaluation Pattern


Semester


End Semester 20



Course Objectives

To introduce basic concepts pertaining to product dismantling and assembly

To familiarize basic pneumatic components; design and validate simple circuits

To familiarize sheet metal tools and operations

To provide hands-on training on welding and soldering

To introduce basic plumbing tools and process

To inculcate the fundamental principle of operation and applications of 3D printing

Course Outcomes

CO1: Dismantle and assemble various products

CO2: Design and simulate pneumatic and electro-pneumatic circuits

CO3: Fabricate sheet metal objects.

CO4: Performance welding and soldering operations

CO5: Make simple plumbing joints.

CO6: Design and build simple geometries using 3D printers

CO-PO MAPPING

Syllabus

Product Workshop

Disassemble the product of sub assembly-Measure various dimensions using measuring instruments-Free hand

rough sketch of the assembly and components-Name of the components and indicate the various materials used-

Study the functioning of the assembly and parts-Study the assembly and components design for compactness,

processing, ease of assembly and disassembly-Assemble the product or subassembly.

Pneumatic and PLC Workshop

Study of pneumatic elements-Study of PLC and programming. Design and simulation of simple circuits using

basic pneumatic elements-Design and simulation of simple circuits using electro-pneumatics.

Sheet Metal Workshop

Study of tools and equipment - Draw development drawing of simple objects on sheet metal (cone, cylinder,

pyramid, prism, tray etc.)-Fabrication of components using small shearing and bending machines-Riveting

practice.


CO

CO1 2 1 2 1 1 1

CO2 2 2 1 1 2 1 1 1 1

CO3 2 2 2 1 1 1

CO4 2 1 2 1 1 1

CO5 2 2 2 1 1 1

CO6 2 2 1 1 2 1 1 1 1

19MEE181 MANUFACTURING PRACTICE L-T-P-C: 0-0-3-1


Welding, Soldering and Plumbing Workshops

Study of tools and equipment - Study of various welding & soldering methods

Arc welding practice - fitting, square butt joint and lap joint - Soldering practice. Plumbing tools – Make a

piping joint to a simple piping layout (should include cutting, threading and pipe fixing)

3D-Printing Workshop

Evaluation Pattern


Semester


End Semester 20



Course Objectives

To develop drawings using Bureau of Indian Standards (BIS)

To communicate effectively through drawings

To enhance visualization skills, which will facilitate the understanding of engineering systems.

Note:

1. Manual practice of drawing to be followed

2. First angle projection to be followed

Course Outcomes

CO1: Understand the engineering drawing standards and their usage

CO2: Interpret engineering drawings

CO3: Construct and dimension geometric entities and simple machine parts

CO4: Improve coherent visualization skills

CO5: Understand the concepts of orthographic projections and isometric projection

CO-PO Mapping


CO

CO1 3 3 3 3 1 2 3 1 2 3 3 2 2 2

CO2 3 3 3 3 2 3 1 2 3 3 2 2 2

CO3 3 3 3 3 3 2 3 1 2 3 3 2 2 2

CO4 3 3 3 3 2 3 1 2 3 3 2 2 2

CO5 3 3 3 3 3 2 3 1 2 3 3 2 2 2

Syllabus

Unit 1

Basic principles of engineering drawing, Standards and conventions, Drawing instruments and their uses,

Lettering and types of lines. Concept of scale in drawings, Dimensioning of drawings. Construction of conic

sections, involutes and cycloids.

Unit 2

Orthographic projections of points, lines, planes and solids. Sections of regular solids, Development of lateral

surface of regular solids, frustum and truncations.

Unit 3

Introduction to isometric views and projections, Orthographic projections of isometric drawings. Floor plans of

simple buildings.

Text Book

Basant Agarwal and C M Agarwal., “Engineering Drawing”, 2e, McGraw Hill Education, 2015

References

Bhat N.D. and Panchal V.M. , “ Engineering Drawing Plane and Solid Geometry , 42e, Charoatar Publishing

House , 2010

19MEE101 ENGINEERING DRAWING L-T-P-C: 2-0-3-3

(Civil and Mechanical Engineering )


James D. Bethune, “Engineering Graphics with AutoCAD”, Pearson Education, 2014

K.R. Gopalakrishna, “Engineering Drawing”, 2014, Subhas Publications

Narayan K.L. and Kannaiah P, Engineering Drawing, SciTech Publications, 2003

John K.C., “Engineering Graphics for Degree”, 1e, Prentice Hall India, 2009

Evaluation Pattern


Semester


End Semester 20



Course Objective

To learn fundamental concepts of electricity and magnetism for applications in engineering and

technology.

To familiarize the principles of interference, diffraction and polarization and apply in engineering

context.

To gain knowledge of basic quantum mechanics, crystal structure and classification of solids based on

their properties and applications.

Course Outcomes

CO1: Be able to apply the concepts of electric and magnetic field including Maxwell’s equations to engineering

application and problem solving.

CO2: Understand the principles of interference, diffraction and polarization and apply it in engineering context

and to solve numerical problems

CO3: Understand the principles and applications of solid state and gas lasers

CO4: Be exposed to basic principles of Quantum mechanics with elementary applications in one dimensional

potential well

CO5: Be familiar with crystals structure, free electron theory and basic semiconductor theory.

CO-PO Mapping


CO

CO1 3 3 2 3 2

CO2 3 3 2 3 2

CO3 3 3 2 3 2

CO4 3 3 2 3 2

CO5 3 3 2 3 2

Syllabus

Unit 1

Electrostatics, Magnetostatics and Electrodynamics

Electric field and electrostatic potential for a charge distribution, divergence and curl of electrostatic field;

Laplace’s and Poisson’s equations for electrostatic potential, Biot-Savart law, divergence and curl of static

magnetic field, vector potential, Stoke’s theorem, Lorentz force, Faraday’s law and Lenz’s law, Maxwell’s

equations.

Unit 2

Waves and Optics

Huygens’ Principle, superposition of waves and interference of light by wave front splitting and amplitude

splitting, Young’s double slit experiment, Newton’s Rings, Michelson interferometer.

Fraunhofer diffraction from single slit and circular aperture, Rayleigh criterion for limit of resolution and its

application to vision, diffraction gratings and their resolving power.

Polarization: Unpolarized, polarized and partially polarized lights, polarization by reflection, double refraction

by uniaxial crystals, Polaroid, half wave and quarter wave plates.

19PHY101 ENGINEERING PHYSICS - A L-T-P-C: 2 -1- 0 -3

(


Unit 3

Lasers

Einstein’s theory of matter radiation interaction and A and B coefficients; amplification of light by population

inversion, different types of lasers: gas lasers (He-Ne, CO2), solid-state lasers (Ruby, Neodymium), dye lasers.

Unit 4

Quantum Mechanics

De Broglie waves, wave functions, wave equation, Schrodinger wave equation: time dependent and time

independent form, operators – Eigenfunctions and Eigenvalues, uncertainty principle, particle in a finite

potential one -dimensional box, tunnelling effect (Qualitative).

Unit 5

Introduction to Solids

Crystal systems: Miller indices, crystal planes and directions, packing fraction, Classification of solids: Metals,

semiconductors and insulators (qualitative), free electron theory of metals, Fermi level, Density of states,

Kronig-Penney model and origin of energy bands.

Text Books

David J Griffiths “Introduction to Electrodynamics” , 4th

Edition , Pearson, 2015.

Ajay Ghatak, “Optics”, 6th

Edition, McGraw Hill Education India Private Limited,2017.

Eugene Hecht, A R Ganesan, “Optics”, 4th

Edition, Pearson Education, 2008.

Arthur Beiser, ShobhitMahajan, S. RaiChoudhury“Concepts of Modern Physics”, McGraw Hill Education

India Private Limited, 2017.

Charles Kittel, “Introduction to Solid State Physics” 8th


Reference Books

Halliday, Resnick, Jearl Walker, “Principles of Physics”, 10th

Edition, Wiley,2015.

John David Jackson, “Classical Electrodynamics”,3rd


F A Jenkins, H E White, “Fundamental of Optics”, 4th

Edition,McGraw Hill Education India Private Limited,

2017.

David J Griffiths, “Introduction to Quantum Mechanics”,2nd

Edition, PearsonEducation,2015.

M A Wahab, “Solid State Physics”, 3rd

Edition, Narosa Publishing House Pvt. Ltd.,2015.

Evaluation Pattern


Semester




End Semester 50



Course Objectives

To gain practical knowledge by applying experimental methods to correlate with the theory.

Apply the analytical techniques and graphical analysis to the experimental data.

To develop intellectual communication skills and discuss the basic understanding of various

experimental principles involved.

Course Outcomes

CO1: Prepare for lab experiments and perform individually a wide spectrum of experiments.

CO2: Present experimental data in various appropriate forms like tabulation and plots.

CO3: Analyze, interpret and summarize the experimental results

CO4: Communicate clearly the understanding of various experimental principles, instruments/setup, and

procedure

CO-PO Mapping


CO

CO1 1 2 2

CO2 1 2 1

CO3 2 2 1

CO4 1 3 1

List of Experiments

1. Measurement of the magnetic field of paired coils in a Helmholtz arrangement.

2. To determine the resistance per unit length of a Carey Foster’s bridge wire and then to find resistivity of the

material of a given wire.

3. To find the dispersive power of material of the prism.

4. Determination of wavelength of diode laser radiation using diffraction grating and to find the mean size of

lycopodium particles.

5. To find the radius of curvature of given convex lens by Newton’s rings method.

6. Determination of Planck’s constant and work function of the given metal using photoelectric effect.

7. To determine the efficiency and fill factor of the given solar cell and to study its characteristics.

8. Determination of band gap of a semiconductor.

9. Experiment to verify the quantum nature of hydrogen atom by measuring the wavelengths of spectral lines in

the Balmer series.

Evaluation Pattern


Semester


End Semester 20

*CA-Basic principles of experiment, skill, result analysis and viva

19PHY181 ENGINEERING PHYSICS LAB - A L-T-P-C: 0 -0 -3 -1

(EEE and ELC)


Course Objectives

To get deeper knowledge and ability to apply concepts of Newtonian mechanics including conservation

theorems to engineering applications.

To familiarize the principles of interference, diffraction and polarization and apply in engineering

context.

To gain knowledge of basic quantum mechanics, crystal structure and classification of solids based on

their properties and applications.

Course outcomes

CO1: Be able to apply the concepts of Newtonian mechanics including conservation theorems to engineering

Applications and problem solving.

CO2: Understand the principles of interference, diffraction and polarization and apply it in engineering context

and to solve numerical problems

CO3: Understand the principles and applications of solid state and gas lasers

CO4: Be exposed to the basic principles of Quantum mechanics with elementary applications in one

dimensional potential well

CO5: Be familiar with crystals structure, free electron theory and basic semiconductor theory.

CO-PO Mapping


CO

CO1 3 3 2 3 2

CO2 3 3 2 3 2

CO3 3 3 2 3 2

CO4 3 3 2 3 2

CO5 3 3 2 3 2

Syllabus

Unit 1

Mechanics

Newton’s laws of motion – forces, frictional forces, dynamics of uniform circular motion, work, kinetic energy,

work-energy theorem, potential energy, conservation of energy, Newton’s law of gravitation, motion in uniform

gravitational field, centre of mass, conservation of linear and angular momentum.

Unit 2

Waves and Optics

Huygens’ Principle, superposition of waves and interference of light by wave front splitting and amplitude

splitting, Young’s double slit experiment, Newton’s Rings, Michelson interferometer.

Fraunhofer diffraction from single slit and circular aperture, Rayleigh criterion for limit of resolution and its

application to vision, diffraction gratings and their resolving power.

19PHY102 ENGINEERING PHYSICS - B L-T-P-C: 2- 1- 0- 3

(Aerospace, Civil, Mechanical and Chemical Engineering)


Polarization: Unpolarized, polarized and partially polarized lights, polarization by reflection, double refraction

by uniaxial crystals, Polaroid, half wave and quarter wave plates.

Unit 3

Lasers

Einstein’s theory of matter radiation interaction and A and B coefficients; amplification of light by population

inversion, different types of lasers: gas lasers (He-Ne, CO2), solid-state lasers (Ruby, Neodymium), dye lasers.

Unit 4

Quantum Mechanics

De Broglie waves, wave functions, wave equation, Schrodinger wave equation: time dependent and time

independent form, operators – Eigen functions and Eigen values, uncertainty principle, particle in a finite

potential one -dimensional box, tunnelling effect (Qualitative).

Unit 5

Introduction to Solids

Crystal systems – Miller indices, crystal planes and directions, packing fraction, Classification of solids: Metals,

semiconductors and insulators (qualitative), free electron theory of metals, Fermi level, Density of states,

Kronig-Penney model and origin of energy bands.

Text Books

Halliday, Resnick, Jearl Walker, “Principles of Physics”, 10th


Ajay Ghatak, “Optics”, 6th

Edition, McGraw Hill Education India Private Limited, 2017.

Eugene Hecht, A R Ganesan, “Optics”, 4th

Edition, Pearson Education, 2008.

Arthur Beiser, ShobhitMahajan, S RaiChoudhury“Concepts of Modern Physics” McGraw Hill Education India

Private Limited, 2017.

Charles Kittel, “Introduction to Solid State Physics” 8th


Reference Books

David Kleppner, Robert Kolenkow, “An Introduction to Mechanics”, 1st Edition, McGraw Hill Education, 2017.

F A Jenkins, H E White, “Fundamental of Optics”, 4th

Edition,McGraw Hill Education India Private Limited,

2017.

David J Griffiths, “Introduction to Quantum Mechanics”,2nd

Edition, Pearson Education,2015

M A Wahab, “Solid State Physics”, 3rd

Edition, Narosa Publishing House Pvt. Ltd., 2015.

Evaluation Pattern


Semester




End Semester 50



Course Objective

To gain practical knowledge by applying experimental methods to correlate with the theory.

Apply the analytical techniques and graphical analysis to the experimental data.

To develop intellectual communication skills and discuss the basic understanding of various

experimental principles involved.

Course Outcomes

CO1: Prepare and perform individually a wide spectrum of experiments.

CO2: Present experimental data in various appropriate forms like tabulation and plots.

CO3: Analyse, interpret and summarize the experimental results.

CO4: Communicate clearly the understanding of various experimental principles, instruments/setup, and

Procedure.

CO-PO Mapping


CO

CO1 1 2 2

CO2 1 2 1

CO3 2 2 1

CO4 1 3 1

List of Experiments:

1. To determine the Young’s modulus of the given material using non-uniform bending.

2. Determination of Rigidity modulus of the given wire using torsional oscillation method.

3. To find the dispersive power of the material of the prism.

4. Determination of the wavelength of diode laser using diffraction grating and to find the mean size of

Lycopodium particles

5. To find the radius of curvature of given convex lens by Newton’s rings method.

6. Determination of Planck’s constant and work function of the given metal using photoelectric effect.

7. To determine the efficiency and fill factor of the given solar cell and to study its characteristics.

8. Determination of band gap of a semiconductor.

9. Experiment to verify the quantum nature of the hydrogen atom by measuring the wavelengths of spectral lines

in the Balmer series.

Evaluation Pattern


Semester


End Semester 20

*CA-Basic principles of experiment, skill, result analysis and viva

19PHY182 ENGINEERING PHYSICS LAB - B L-T-P-C: 0- 0-3- 1

(Aerospace, Civil, Mechanical and Chemical Engineering)


Course Objectives

To introduce the structure and physics of materials used in electronics

To introduce the properties that characterizes a material as a conductor, semiconductor or dielectric.

To analyse the electrical, magnetic and optical behaviour or materials

Course Outcomes

CO1: Ability to understand the structure and physics of materials used in electronics.

CO2: Ability to understand the different parameters and terminology used in describing electronic properties of

materials.

CO3: Ability to understand different properties of materials that result in specific electrical, optical and

Magnetic behavior.

CO4: Ability to understand and analyze the behavior of active and passive devices built from electronic

materials.

CO-PO Mapping

Syllabus

Unit 1

Crystal Structure of Solids

Crystal directions and planes, crystal properties, defects and vacancies, two phase solids.

Unit 2

Elementary Quantum Physics, Conductors

Wave particle duality, uncertainty principle, potential well, tunnelling, potential box. Simulated emission and

lasers. Conductors: Drude model, temperature dependence of resistivity, skin effect, AC conductivity, metal

films, thin metal films, interconnects in microelectronics, electro migration.

Unit 3

Semiconductors, Dielectrics

Classification of semiconductors, doping, temperature dependence, minority carriers and recombination ,

diffusion and conduction equations, continuity equation, optical absorption, piezo resistivity. Dielectric

materials: Polarization, Polarization mechanisms, dielectric breakdown in solids, capacitors and their

construction, piezo electricity, ohmic and non ohmic contacts.

Unit 4

Magnetic Properties of Materials, Superconductors

Dipole moment, permeability, classification of magnetic materials, saturation and Curie temperature,

superconductivity.

Unit 5

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 3 2 - - - - - - - - - 2

CO2 3 2 - - - - - - - - - 2

CO3 3 2 - - - - - - - - - 2

CO4 3 2 - - - - - - - - - 2

19PHY103 PHYSICS OF ELECTRONIC MATERIALS L-T-P-C: 3-0-0-3

(ECE, CCE and EAC)


Optical Properties

Light propagation in a homogeneous medium, absorption, scattering, luminescence, phosphors, LEDs,

polarization, LCDs, electro optic effects.

Text Books/ References:

S O Kasap, “Principles of Electronic Materials and Devices”, 4th

Edition, McGraw Hill Education, 2018.

LSolymar, D Walsh and R R A Syms, “Electrical Properties of Materials”, 9th

Edition, Oxford University Press,

2014.

Rolf. E Hummel, “Electronic Properties of Materials”, 4th

Edition, Springer, 2012.

Eugene A Irene, Electronic Material Science, Wiley-Blackwell, 2005.

Evaluation Pattern


Semester




End Semester 50



Course Objectives

The course will lay down the basic concepts and techniques of engineering mechanics needed for

verticals such as robotics.



It will help the students to perceive the engineering problems using the fundamental concepts in

mechanics.

Another goal of the course is to provide connection between the concepts of mechanics, mathematics

and computational thinking.

Course Outcomes

CO1: To develop a basic understanding of the principles in statics and dynamics.

CO2: To introduce the state of the art computational techniques that can be employed to analyse the structured

problems in mechanics.

CO3: To enable the students to model engineering problems in the perspective of mechanics.

CO4: To facilitate the students to understand the intricate connection between mathematics, mechanics and

computational thinking.

CO-PO Mapping


CO

CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 2 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

Syllabus

Unit 1

Equilibrium of rigid bodies, free body diagram, Analysis of beams and trusses – Frictio

Unit 2

Lumped mass models in Dynamics – Particle motion in Cartesian, cylindrical and spherical coordinates – 2D

translation – 2D rotation – basics of coordinate transformation – Rotation matrix – 3D translation – 3D rotation-

Quaternion representation of rotation.

Unit 3

Kinematics of rigid bodies - angular momentum of rigid bodies - relative motion with translating and rotating

axes and Coriolis acceleration.

Unit 4

Analysis of a simple robotic joint – Analysing 2-joint robotic arm.

19PHY104 COMPUTATIONAL ENGINEERING MECHANICS 1 L-T-P-C: 1-2-0-3



Beer F.P. and Johnston E.R., Vector Mechanics for Engineers - Volume I - Statics, Volume II - Dynamics,

McGraw Hill, New York, 2004.

Merlam J.L and Kraige L.G., Engineering Mechanics, Volume I - statics, Volume 11- dynamics, John Wiley &

Sons, New York, 2018.

Elementary Mechanics Using Matlab – Malthe&Sorenssen – Undetrgraduate Lecture Notes in Physics,

Springer International Publishing, 2015.

Elementary Mechanics Using Python – Malthe & Sorenssen – Undergraduate Lecture Notes in Physics,

Springer International Publishing, 2015.

Statics with Matlab – Marghitu, Dupac& Madsen, Springer – Verlag London 2013.

Advanced Dynamics - Marghitu, Dupac& Madsen, Springer – Verlag London 2013.

Shames L.H., Engineering Mechanics, Prentice HaII, New Delhi, 1996.

Hibbeler R. C., Engineering Mechanics: Statics and Dynamics, 11th

edition, Pearson Education India, 2017.



Semester


End Semester 20




Documents

GENERAL INFORMATION COURSE CODE NUMBERING …...ENGG 19MEE100 Engineering Graphics - CAD 2 0 3 3 ENGG 19CSE101 Computer Systems Essentials 3 0 3 4 ENGG 19CSE180 Computer Hardware Essentials