b. tech syllabus (i & ii semester)(2019)...b. tech syllabus (i & ii semester)(2019) 19aee101...

B. Tech Syllabus (I & II Semester)(2019)

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

Pre-Requisites:

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 aircraftengines;Identificationof 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

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.

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.

Course Articulation Matrix: Correlation level [ 1: low, 2: medium, 3:High)

PO/P

SO 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

19AEE111: - Introduction to Aerospace Technology L-T-P-C: 3-0-0-3

Pre-Requisites:

Module I

Visual Content (video) about Atmospheric Dynamics and its Influence on Flying Machines -

History of Aviation (visual content) – Types of Flying Machines, Major Components of an Aircraft, and their Functions

(visual content) – Aircraft vs Rotorcraft (visual content) – Basic Instruments for Flying (visual content) – Physical

Properties and Structure of the Atmosphere: Temperature, Pressure and Altitude Relationships.

Module II

Newton’s Law of Motions Applied to Aeronautics: Evolution of Lift, Drag and Moment – Aerofoils – General Types of

Construction: Monocoque and Semi-monocoque – Typical Wing and Fuselage Structure (visual content) – Basic Ideas about

Piston, Turboprop and Jet Engines - Use of Propeller and Jets for Thrust Production (visual content) – Stealth Technology:

History and Principles.

Module III

History of Spaceflight (visual content) – Major Components of Rocket, Spacecraft and their Functions (visual content) –

Principles of Rocket Engines – The Solar System and the Copernican Model - Kepler’s Laws – Orbital Motion – Satellite

Orbits - Earth’s Outer Atmosphere (visual content).

Text Book:

Anderson. J.D, “Introduction to Flight,” 7th edition, Mc Graw Hill, 2011.

References:

1. Anderson, D.F and Eberhatdt. S, “Understanding Flight,” 2nd edition, Mc Graw, 2009.

2. Turner.M.J, “Rocket and Spacecraft Propulsion,” 3rd edition, Springer, 2009.

3. Curtis.H.D, “Orbital Mechanics for Engineering Students,” 3rd edition, Butterworth-Heinemann, 2013.

4. Paul A Suhler, “From Rainbow to Gusto: Stealth and the Design of the Lockheed Blackbird,” AIAA, 2009.

COURSE OUTCOMES

CO1: Identify the Atmosphere and its levels; Examine effects of the weather on flight.

CO2: Remember the historic attempts at flying; major components of flying machines and aerial

navigation

CO3: Understand Newton’s equations of motion of flying vehicles; define various terms : Lift, Drag,

Moments, airfoil, monocoque and semimonocoque structures.

CO4: Categorize and subsume thrust production in various types of engines for flight; recognize the

principles of Stealth technology.

CO5: Realize the Solar system and its formation; get introduced to MAVs; know the impact of Ptolemic

and Copernican systems on planetary motion.

CO6: Apply Kepler’s laws of planetary motion; Recognize various orbits; Know Space beyond solar system.

Course Articulation Matrix: Correlation level [ 1: low, 2: medium, 3:High)

PO/P

SO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2 PSO3

CO

CO1 2 - - - - 3 3 -

2 1 -

3 - - -

CO2 3 - - - -

2 - -

2 2 - - - - -

CO3 3 2 - - - - - - -

2 - -

3 3 3

CO4 3 - -

2 - -

2 - -

3 -

3 3 3 3

CO5 3 - -

- -

1 - - -

2 -

2 1 - -

CO6 3 3 -

2 -

- - - -

2 -

3 3 3 -

19AIE105 Object Oriented Programming (2 2 0 4)

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.

Syllabus

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 - 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, Throwable type hierarchy and exception

handling syntax, the Thread class. 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

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

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

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

Textbooks / References

1. Blaha, Michael. Object-Oriented Modelling and Design with UML: For VTU, 2/e. Pearson Education India, 2005.

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

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

Evaluation Pattern

Internal – 75%

Assignments – 50% (20 assignments with equal credit)

Quiz- 25% (5 Quizzes with equal credit)

External – 25%

Project – 25%

19AIE101 Elements of Computing Systems -1 (1 2 0 3)

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 develop an understanding on the working of a modern computing system

Syllabus

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

Algebra, Combinational logic, ALU , Introduction to Hardware simulator platforms, Sequential logic, Flip Flops,

Registers, RAM, ROM, Memory Elements Computer Architecture: Von-Neumann architecture, Machine language, Basic

experiments using machine language, Assembler.

Text Books/ References

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

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%


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

19AIE104 Introduction to Electrical Engineering (1 2 0 3)

Course ObjectivesThe 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.

Syllabus

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

Current Resistance -Ohm’s Law - Kirchoff’s Voltage Law - Kirchoff’s Current Law - Thevenin Equivalent Circuit - Norton

Equivalent Circuit - Inductors and Capacitors - Impedance and AC Sinusoidal Signals - Operational Amplifiers -

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

Textbooks/References:

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

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

3. William Flannery, “Mathematical Modeling and Computational Calculus”, Vol-1, Berkeley Science Books, 2013.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%


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

19AIE102 Introduction to Digital Manufacturing (1-0-3-2)

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 (FreeCAD).

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.

Syllabus

History of Manufacturing: From classical to Additive manufacturing, 3D Printers and Printable Materials, 3D Printer

Workflow and Software, Selecting a Printer: Comparing Technologies, Working with a 3D Printer, 3D Models,

Applications, Building Projects.

Textbook/References:

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

Evaluation Pattern

Internal – 50%



External – 50%

Project – 50%

19AIE103 Introduction to Drones (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.


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

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.

Syllabus

Intro to Drones I (Sensor-Processor-Actuator), Intro to Drones II (How to Build a Drone),

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

Drone part design using 3D Printer, Flying Projects.

Textbook/References:

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

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

Evaluation Pattern

Internal – 50%



External – 50%

Project – 50%

19AIE114 Principles of Measurements & Sensors (1 1 3 3)

Course Objectives

The main objective of this course is to familiarise the students with various sensing technologies and various sensors used in

engineering. Students will be inspired to collect data using sensors and analyse& interpret the collected data. Further, the

course will focus on equipping the students to interface various sensors with computing platforms.

Course Outcomes

CO1 To develop a basic understanding of the principles involved in measurements.

CO2 To introduce the state of the art sensors for various engineering applications.

CO3 To enable the students to interface the sensors with computing platforms.

CO4 To facilitate the students to understand the engineering applications of various sensors.


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

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

Syllabus

Introduction to measurement systems and sensors, Overview of Introduction to Arduino and Raspberry-PI, Static and

Dynamic Characteristics of measurement systems: Systematic Characteristics, Generalized model, Calibration errors ,

Review of Op-Amp Circuit, passive-and active-filters, Accuracy of measurement systems in steady state: Measurement error,

Error probability function, Error reduction techniques, Physics -Principles and Applications of sensing elements, Thermal

sensors, Mechanical sensors, Optical Sensors Intelligent measurement systems, Introduction to scalar and vector data type

sensors, Analog to digital Converters, analog and Digital processing of sensor values.

Textbooks / References

1. E.O. Doebelin, D.N. Manik, Measurement systems, 6/E, Tata McGraw Hill, New Delhi, 2011.

2. J.P.Bentley, Principles of Measurement systems, 4/E, Pearson education ltd, UK, 2005.

3. G.C.M. Meijer, Smart Sensor Systems, Vol 10, John Wiley and Sons, UK, 2008.

4. Alan S. Morris, R. Langari, Measurement and Instrumentation; Theory and Application, Academic

Press, USA, 2012.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19AIE111 Data Structures & Algorithms 1 (2 2 0 4)

Course Objectives

This course aims at introducing the concept of data structure hierarchy. It will also expose the students to the basic and

higher order data structures. Further the students will be motivated to apply the concept of data structures to various

engineering problems.

Course Outcomes

CO1 To choose an appropriate data structure as applied to a specified problem

CO2 To introduce various techniques for representation of the data in the real world

CO3 To develop application using data structures.

CO4 To improve the logical ability


CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 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

Data Structure Hierarchy – Primitive – datatypes and their representations, Interger, 2;s complement, IEEE756 Floating

point-single and double precision – String and character representation types-Unicode and UTF-8 encodings- Predefined –

Arrays and Structures- Records types-Class and Objects as Types- User Defined- Linear structures-, Array subscripting and

indexing- Concept of pointers- pointers as array names, self-referential structure, List, Linked implementation- array

implementation. Variations on basic List, Doubly linked list, indexed List, Skip lists, Vectors, Sets, Maps and Dictionaries as

application of basic list. Higher order Concept Data Structures. Stacks- stack invariants-push and pop- invariant variables,

stack array, stack list, applications of stack- nested bracket validation, postfix expression evaluation. Stack uses in

Computers-recursion-some recursion examples-factorial and Fibonacci- Queue- invariants-enqueue and queue- invariant

variables- circular queue array, queue list- applications of queue- job scheduling- variations on basic queue- Double ended

Queue and Priority queue – Nonlinear structures – Binary tree- Binary search Tree (BST) and lexicographic ordering-

array and list implementations -Complete binary tree array - Set using a BST list- applications of Binary Trees – Binary

Heap Data structure-Heap order and Heapsort- heap as a priority queue- balanced binary trees and AVL self-balancing

trees. some more tree based structures. Traversals of Binary trees Depth traversals- in-order, pre-order and post-order

Breadth traversal. Reconstructions of Binary trees from traversals.

Textbooks/References

1. Alfred V Aho, John E Hopcroft, Jeffrey D Ullman. Data Structures & Algorithms, Pearson Publishers, 2002.

2. ‘Maria Rukadikar S. Data Structures & Algorithms, SPD Publishers, 2011.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19AIE112 Elements of Computing Systems - 2 (1 2 0 3)

Course Objectives

This course is an integrative, project-oriented systems building course. The course exposes students to a significant body of

computer science knowledge, gained through a series of hardware and software construction tasks. These tasks demonstrate

how theoretical and applied techniques taught in other higher courses in AI are used in practice.

Course Outcomes

CO1 To develop an understanding on basic computer architecture

CO2 To introduce the implementation of operating systems

CO3 To develop an understanding on the working of a modern computing system


CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

CO4 3 3 3 2 3 3 2 3 3


CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

Syllabus

Basic Computer Architecture-Instruction set and Machine language-MIPS instructions- add, subtract, bitwise operators,

branches- CPI metric- Data path design for single clock. Data path for multi clock instructions-pipelining and pipeline

faults-Control unit design-state based control – microprogramed control-Revising Assemblers. Virtual Machine I: Stack

Arithmetic, Background VM Specification Part-1, Implementation and Perspective. Virtual Machine II: Program Control

Background, VM Specification Part-2, Implementation, Perspective. High-Level Language: Background, The Jack

Language Specification. Writing Jack Applications. Perspective. Compiler I - Syntax Analysis: Background, Specification,

Implementation, Perspective. Compiler II - Code Generation: Background, Specification, Implementation, Perspective.

Operating System: Background, the Jack OS Specification, Implementation, Perspective.


1. Hennessy, John L., and David A. Patterson. Computer architecture: a quantitative approach. Elsevier, 5th Edition, 2011.

2. Nisan, Noam, and Shimon Schocken. The elements of computing systems: building a modern computer from first

principles. MIT press, 2005.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19AIE113 Introduction to Electronics (1 2 0 3)

Course Objectives

The course will lay down the basic concepts and techniques of electronics needed for advanced topics in AI. It will explore

the concepts initially through computational/hardware 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 electronics.

Course Outcomes

CO1 To introduce the basic concepts of analog and digital electronics.

CO2 To enable the students to understand the application of electronics in communication engineering.

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

Syllabus

Semiconductor Devices : Diode - Zener circuits - BJT : simple biasing methods – MOSFET - DC Power supply – Flip-

Flops- Counters - Adders - OPAMP based circuits including Schmitt trigger and astablemultivibrator - Feedback amplifiers


CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

- Oscillators - Boolean logic - basic gates - truth tables - logic minimization using K maps - combinatorial and sequential

circuits - DAC and ADC - Introduction to Communication Engineering.


1. Jacob Millman and A. Grabel, `Microelectronics', Tata McGraw-Hill Publishers, Second Edition, New Delhi, 1999

2. RamakantGayakwad, `Op-amps and Linear Integrated circuits', Prentice Hall, New Delhi, 1988.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19BIO101 Biology for Engineers -A 3 0 0 3

(Pre-requisite: Nil)

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

Keywords:

Life Science studies, Sensing techniques, Organ mimicking.

Contents:

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.

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

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

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

Technological Developments

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 PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10

PO1

1

PO1

2

PSO 1 PSO 2

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

Text Books / References:

1. Leslie Cromwell, Biomedical Instrumentation, Prentice Hall 2011.

2. 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.

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

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

19BIO111 BIOLOGY FOR ENGINEERS -B 2-0-0-2

Principles of Biology: Biomolecules, Cell Structure and Function, Membranes and Cell Transport, Principles of Cell

Metabolism and communication, DNA Structure and Chromosomes (10 hrs)

Physiological principles: Cardiovascular systems, respiratory systems and central nervous systems (10 hrs)

Engineering Principles: Introduction to Biomechanics, Bioinstrumentation, Bioimaging, Biomaterials and artificial organs,

Biomolecular engineering, Emerging Areas in Bioengineering (10 hrs)

TEXTBOOKS:

1. Gabi Nindl Waite, Lee R.Waite, Applied Cell and Molecular Biology for Engineers, McGraw-Hill Education, 2007.

2. W. Mark Saltzman, Biomedical Engineering: Bridging Medicine and Technology, Cambridge University Press, 2009.

Reference Books:

1. S. A. Berger, W. Goldsmith, E. R. Lewis, Introduction to Bioengineering, Oxford University Press, 2000.

2. Michael Chappell, Stephen Payne, Physiology for Engineers - Applying Engineering Methods to Physiological Systems,

Springer International Publishing, 2016.

19BIO103 Intelligence of Biological Systems 1 (1-1-0-2)

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

CO1 To introduce the basic concepts in cell biology

CO2 To develop an understanding about the basic cellular process

CO3 To introduce the basic concepts about the cell intelligence

Syllabus

Classification of biological macromolecules, Cellular Structures, Cellular Energy Production and Utilization, The Cell

Cycle and Cell Division, Meiosis and Formation of Gametes, Protein Synthesis, Gene Expression and Mutation, Evolution

Patterns and Processes.

Textbooks/ References

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

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

2007.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%


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

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

19BIO112 Intelligence of Biological Systems 2 (1 1 0 2)

Course Objectives

The course will aim at introducing the concepts pertaining to DNA replication and will equip the students to explore the

question where in the genome does the DNA replication will begin. Further it will motivate the students to investigate the

origin of various rhythms observed in human body such as circadian rhythm and how they are encoded in the DNA

Course Outcomes

CO1 To investigate DNA replication.

CO2 To investigate the encodings in DNA to maintain various rhythms associated with the body.

CO3 To introduce state of the art computational algorithms to understand DNA encodings.

Syllabus

DNA replication – genome - hidden messages in the genome - Python Programming and packages for Bioinformatics -

Finding Replication Origins - DnaA boxes - Counting words - The Frequent Words Problem - Frequent words in Vibrio

cholera – encodings in DNA to maintain circadian rhythm – Hunting for Regulatory Motifs - Motif Finding - Scoring Motifs

- Greedy Motif Search - Randomized Motif Search - Gibbs Sampling.


1. Philip Compeau and PavelPevzener, Finding Hidden Messages in DNA, Active Learning Publishers 2015.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19 CHE111 Introduction to Chemical Engineering 3 0 0 – 3

Unit – 1

Historical evolution of chemical engineering; what is chemical Engineering; the impact & role of chemical engineering;

representing chemical processes using process diagrams and flow sheets (introduction to unit operations and unit processes;

batch vs. continuous operation); understanding prevalent symbols; chemical process industries: evolution, broad

classification, characteristics, origin, growth, present scenario, & projections; opportunities and challenges; roles of the

modern chemical engineer.

Physical quantities: units & dimensions, conversion & conversion factors; important process variables, making the

connection between the variables and their measurements; conventions in methods of analysis and measurement, basis,

chemical equations and stoichiometry, conversion, and yield; industrially important physical and chemical properties.

Unit – 2


CO1 2 3 2 2 3 2 2 3 2 3 3

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

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

Introduction to fluid flow (pressure-flow interaction, non-flowing fluids, pumps & turbines), heat transfer (applications of

heat exchange in the industry), mass transfer (molecular vs. bulk transport), reaction engineering (important of describing

reaction rate and design of reaction vessel), materials (important properties and their influence on selection of materials),

and control (need for control and strategies); mathematical representation of process. Dimensional consistency and

Dimensional analysis related to Chemical Engineering

Unit – 3

Computer aided calculations & spreadsheets; graphing (basic plots, interpreting trends, curve fitting, log-log & semi-log

representation); Relation between chemical engineering and physico–chemical sciences and other engineering disciplines;

modern view of chemical engineering; economics (costs in industry, profitability considerations, analytical view of process

and reporting of performance); safety-health-environment; ethics; case studies.

Representing Processes: Creating Flow sheets; Degrees of freedom Analysis of flow sheets; Material Balance Involving unit

operations; Modular and Overall equation-solving approaches; Case studies involving flow sheets.

Course Outcomes

CO Code Course outcome statement

CO1 Understand various fields to which chemical engineers have been contributed and Identify the role of a

modern Chemical Engineer.

CO2 Convert the batch process of a chemical production into a continuous process

CO3 Convert units of physical quantities from one system to another and converting them into suitable

dimensionless form

CO4 Understand the skeleton of Chemical Engineering curriculum

CO5 Develop simple mathematical equations of a process using conservation principles and solve them using

suitable mathematical techniques

CO6 Develop a process flow diagram for a given process based on the requirements and analyze the equipment

required

CO7 Follow ethics in Chemical Engineering discipline

CO8 Perform profitability and safety analysis of a given process

CO-PO Mapping

CO Code PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO

10

PO

11

PO

12

PSO

1

PSO2 PSO3

CO1 3 2 3

CO2 2 1

CO3 3 3

CO4 2 2

CO5 3 3 3

CO6 2 3

CO7 3

CO8 2

Justification of CO-PO Mapping

Evaluation Pattern

Periodical 1 – 15%


Continuous Assessment (Open book Quizzes and Course Project) -20%

End Semester – 50%

19CHE101 Material Balances 3 1 0 - 4

Unit - 1

Chemical engineer vs. Chemist, Careers in Chemical engineering, Chemical engineering Industries; Chemical engineering

approach-Streams, Units and Processes; Unit operations and processes: Fluid and solid operations, Heat transfer

operations, Mass transfer and separation operations, Chemical reactors, Control of processes, Costing and Economics,

Representing streams: Dimensions and unit conversions, Conversion factors, Dimensional consistency, Dimensionless

numbers in chemical engineering, Representing compositions of mixtures and solutions: Binary and tertiary mixtures,

Compound stoichiometry, Representing gas phases: Ideal gas law, P-V-T calculations, Partial pressures and pure

component volumes in mixtures. Representing reactions: Reaction stoichiometry, Conversion, Yield, Selectivity, Limiting and

excess reactants, Dissociating gases. Representing moist gases: Humidity, Wet and dry bulb temperatures, Humidity chart

Unit - 2

Material balance-Control volume, Conservation of mass and species in a unit; Steady and unsteady state processes, Batch

and Continuous processes; Basis for calculation; Degrees of freedom; Steady and unsteady material balance in unit

operations: Evaporation; Crystallization; Leaching; Adsorption; Dying; Liquid-Liquid Extraction; Absorption; Distillation;

Recycle, Bypass and Purge

Unit - 3

Combustion : Orsat analysis, Proximate and ultimate analysis of coal; Single-pass and overall conversions; Oxidation of

sulphur compounds; Reactions involving phosphorous; Reactions involving nitrogen; Reactions involving chlorine;

Extraction of metals from ores; Hydrogenation, hydration and oxidation; Electrochemical reactions; Recycle bypass and

purge involving reactions

Course Outcomes


CO01 Understand the fundamental concepts of stoichiometry and identifying process variables and properties and

develop systematic problem-solving skills

CO02 Ability to make and solve material balance equations on unit operations and processes

CO03 Ability to perform material balances with chemical reactions

CO04 Ability to perform material balances involving multiple unit operations

CO-PO Mapping


10

PO

11

PO

12

PSO

1

PSO2 PSO3

CO01 3 3 2 2 2 2

CO02 3 3 3 3 2 3 2

CO03 3 3 3 3 2 3 2

CO04 3 3 3 3 2 2 3


CO1 strongly maps to PO1, PO2 as they require basic engineering knowledge and problem analysis skills to solve problems

involving the compositions of solids, liquids, gases. Operations in which handling gases, gas mixtures and chemical

conversions involving gases are quite common in chemical process industries.CO2 and CO3 evolves with the formulation of

material balance equations for various unit operations with and without chemical reactions. The calculations involving the

quantities of the material requirement in such processes as well as the effect of operating parameters are dealt by chemical

engineers. Material balances helps in the planning and design of processes, control and optimization. In order to produce an

end product from the given raw materials and for an appropriate choice of the process, it is important to estimate the

material requirement.CO2 to CO4 maps strongly to PO5 with credit 2 as we could make use of software tools to solve

material balance equations.CO2 and CO3 strongly maps to PO1 to PO4 and PSO1, PSO2 as they need to design, analyze

and develop solutions for problems related to unit operations and processes.CO4 involves complex calculations where

multiple units are considered and is mapped strongly with PSO2 apart from PO1to PO4.

Evaluation Pattern

Periodical I: 15%

Periodical II: 15%

Continuous Assessment: Open book tests, Quizzes, Assignments: 20%

End semester Examination: 50%

Textbooks

1.Bhatt, B.L, and Vora, S.M Stoichimetry,3rd Edition, Tata McGraw Hill, New Delhi,1996.

2. K.V. Narayanan & B. Lakshmikutty Stoichiometry and Process Calculations, Prentice

Hall of India, New Delhi, 2009.

3. Murphy, R.M., Introduction to Chemical Processes: Principles, Analysis, Synthesis, McGraw Hill International Edition,

NewYork,2007.

References

1. David M Himmelblau, Basic principles and calculations in chemical engineering,6th edition, Prentice

Hall Inc., New York,2003.

2. Richard M Felder & Ronald W. Rousseau Elementary Principles of Chemical Processes,3rd edition, John Wiley and Sons,

New York,2003.

3.Hougen, O.A Watson K.M., and Ragatz, R.A Chemical Process Principles Part I, CBS Publishers,1973.

4.Lewis W.K, Radesh A.H., and Lewis H.C., Industrial Stoichiometry, McGraw Hill Book Inc., New York,1995

19CHE102 Statics 1 1 0 - 2

System of Forces: Coplanar and Concurrent Forces -Resultant – Resolution of Forces --Equilibrium of system of Forces:

Free body diagrams-Equations of Equilibrium of Coplanar Systems and Spatial Systems, Moment of Forces and its

Application, Centroids of lines, areas, volumes and composite bodies, Second moment of area- moment of inertia.

Course Outcomes


CO1 To understand the vector and scalar representation of forces and moments and to

develop simple mathematical model for engineering problems and carry out static

analysis.

CO2 To analyze and solve rigid body equilibrium problems using free-body diagrams and

accurate equilibrium equation

CO3 To determine centroid and second moment of area of selected sections

CO-PO Mapping


10

PO

11

PO

12

PSO

1

PSO2 PSO3

CO1 3 1 3 1 1 2

CO2 3 3 1 1 2 2 2

CO3 3 3 1 1 2 2


The COs 1 to 3 are strongly associated with the application of basic concepts of maths, science

and engineering for finding solutions to the engineering problems. Hence, they are given the highest affinity to PO1. The

application of free body diagrams and area moment of inertia are mandatory for the analysis of load carrying members in

chemical engineering process industries. Consequentially CO 1 is mapped weakly to P02 and COs 2 and 3 and strongly

linked to P02. For the design and development of equipments used in process industries forces are to be represented in 3D.

A. Hence CO 1 is linked strongly with PO3. The application of CO 1 to 3 is desirable to conduct investigations of complex

problems and they are weakly related to PO4. The COs 2 and 3 are moderately mapped with PS01as the core concepts

envisaged in those COs are required for working in manufacturing and R&D sectors. PSO2 deals with the application of

mathematical tools for efficient design. In that sense COs 2 and 3 are of relevance and they are connected moderately with

PS 02 and CO1 is weakly linked.To plan and design equipments the knowledge of COs 1 ,2 is desirable . Eventually a

moderate affinity is given for those COs with PSO3

Evaluation Pattern



Continuous Assessment ( Quizzes and Assignments) -20%

End Semester – 50%

Text Books

1. R.C. Hibbeler , “Statics and Mechanics of Materials” Prentice Hall, 2013.

2. F.P. Beer , E.R. Johnston&D.Mazurek, “Vector Mechanics for Engineers: Statics”, McGraw-Hill Higher

Education, 2012.

19CHY101 Engineering Chemistry - A 2 1 0 3

(Common to Aerospace, Mechanical, Civil and Chemical Engineering branches)

Course Outcomes

The student at the end of the course will:

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

materials

CO2 understand the principle of electrochemistry/photochemistry and applications of various energy storage systems

CO3 able to identify the correct materials, design and operation conditions to reduce the likelihood of corrosion in new

equipments and engineering operations

CO4 be able to understand the fundamental problems and explain operation maintenance procedures of equipment used

in water treatment

http://www.amazon.in/s/ref=dp_byline_sr_book_1?ie=UTF8&field-author=Ferdinand+P.+Beer&search-alias=stripbooks

http://www.amazon.in/s/ref=dp_byline_sr_book_2?ie=UTF8&field-author=Jr.%2C+E.+Russell+Johnston&search-alias=stripbooks

http://www.amazon.in/s/ref=dp_byline_sr_book_3?ie=UTF8&field-author=David+Mazurek&search-alias=stripbooks

Course Articulation Matrix

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO

11

PO

12

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

Program Articulation Matrix


11

PO

12

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

Unit 1: Atomic Structure and Chemical Bonding (6 hours)

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 II: Electrochemical energy system (8 hours)

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.

Unit III: Photochemistry and solar energy (8 hours)

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 IV: Corrosion control and metal finishing (8 hours)

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 V: Water Technology (6 hours)

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.

(Note - 36 Hours contact theory and 9 hours for tutorials – total 45 hours)

Text Books:

1. Vairam and Ramesh “Engineering Chemistry”, Wiley, 2012

2. Amrita Vishwa Vidyapeetham, Department of sciences, “Chemistry Fundamentals for Engineers”, McGraw Hill

Education, 2015.

Reference Books:

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

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

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

19CHY181 Engineering Chemistry Lab - A 0 0 3 1

(Common to Aerospace, Mechanical, Civil and Chemical Engineering branches)

Lab: 0 0 3 1

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

19CHY102 Engineering Chemistry - B 2 1 0 3

(Common to EEE, ECE, CCE and Electrical & Computer Engineering branches)

Course Outcomes

The student at the end of the course will:

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

materials

CO2 understand the principle of electrochemistry/photochemistry and applications of various energy storage systems

CO3 able to understand the crystals structure, defects and free electron theory

CO4 be able to understand the mechanism and application of conductivity polymer is various electronic devices.

Course Articulation Matrix


11

PO

12

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



11

PO

12

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

Unit 1: Atomic Structure and Chemical Bonding (6 hours)

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 II: Electrochemical energy system (8 hours)

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.

Unit III: Photochemistry and solar energy (8 hours)

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 IV: Solid state Chemistry (8 hours)

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 centered cubic packing, defects in

crystals – stoichiometric, non-stoichiometric, extrinsic and intrinsic defects.

UNIT V: Polymer and composite Materials (8 hours)

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. Thermosensitive 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.

(Note - 36 Hours contact theory and 9 hours for tutorials – total 45 hours)

Text Books:

1. Vairam and Ramesh “Engineering Chemistry”, Wiley, 2012

2. Amrita Vishwa Vidyapeetham, Department of Sciences, “Chemistry Fundamentals for Engineers”, McGraw Hill

Education, 2015.

Reference Books:

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

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

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

19CHY182 Engineering Chemistry Lab - B 0 0 3 1

(Common to EEE, ECE, CCE and Electrical & Computer Engineering branches)

Lab: 0 0 3 1

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

19CSE100 PROBLEM SOLVING AND ALGORITHMIC THINKING 2 1 3 4

Preamble

Algorithmic Thinkingis a fundamental skill in this 21st Century. This course provides the foundations of Computational

Problem Solving. It focuses on principles and methods rather than on systems and tools thus providing transferable skills to

any other domain. It also provides foundation for developing computational perspectives of one’s own discipline.

Prerequisite(s)

NIL

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.

TEXTBOOK:

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

REFERENCES:

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

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

Development Limited; 2017.

3. 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.

Evaluation Pattern: I

Course Outcomes

CO Statement Level

CO1 Apply algorithmic thinking to understand, define and solve problems L2

CO2 Design and implement algorithm(s) for a given problem

L3

CO3 Apply the basic programming constructs for problem solving L2

CO4 Understand an algorithm by tracing its computational states, identifying bugs and

correcting them

L2

CO-PO Mapping:

COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

CO1 1 1

CO2 3 2 3 3 3 3 3

CO3 2 1

CO4 1 1 2 2

19CSE101 COMPUTER SYSTEMS ESSENTIALS 3 0 3 4

Preamble

The course gives students an overview of computer science: A foundation from which they can appreciate the relevance and

interrelationships of further courses in the field. Computer Networks deals with components and principles of networks and

its protocols. Operating System acts as a platform of information exchange between a computer's hardware and the

applications running on it. Database Management Systems have become a part of all computer based systems automating

real word applications to handle data storage. This course provides an insight on the general structures of operating

systems, database management systems and computer networks.

Prerequisite(s): NIL

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.

TEXTBOOK:

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

REFERENCES:

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

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

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

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


Course Outcomes

CO Statement Level

CO1 Understand the basic components of computer systems and its functionality. L2

CO2 Demonstrate the functions of operating system and its role as a resource manager to execute any application L2

CO3 Understand the need for database storage and learn to retrieve using SQL. L2

CO4 Implement the connection between operating systems, computer networks and database management through

a case study

L3

CO-PO Mapping

CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

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

19CSE180 COMPUTER HARDWAREESSENTIALS 0 0 3 1

Preamble

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.

Prerequisite(s)

NIL

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.

TEXTBOOK:

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

Media, Inc.; 2014.

REFERENCES:

1. Halsey M. Windows10 Troubleshooting. Apress; 2016.

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

Evaluation Pattern: L

Course Outcomes

CO Statement Level

CO1 Understanding the working principles of different computing devices (desktop

computers, laptops, etc.)

L2

CO2 Understand PC and laptop hardware components L2

CO3 Understand peripheral devices, storage devices, displays and connection interfaces

and Troubleshoot common hardware issues

L2

CO4 Understand the procedure for Installation of OS - Linux and Supporting, upgrading

and troubleshooting OS related issues.

L3

CO5 Understand the concepts of Physical Computing and related use cases L3

CO-PO Mapping


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

19CSE102 Computer Programming 3 0 3 4

Preamble

This course provides the foundations of programming. Apart from the usual mechanics of a typical programming language,

the principles and methods will form the main focus of this course. Shift from learn to program to programming to learn

forms the core of this course.

Prerequisite(s): 19CSEXXX Problem Solving and Algorithmic Thinking

Syllabus

Unit 1

Introduction and Review of C language constructs. Functions – inter function communication, standard functions, scope.

Recursion – recursive definition, recurivse solution, designing recursive functions, limitations of recursion. Arrays – 1D

numeric, searching and sorting, 2D numeric arrays.

Unit 2

Pointers: introduction, compatibility, arrays and pointers, Dynamic memory allocation, arrays of pointers, pointer

arithmetic. Strings: fixed length and variable length strings, strings and characters, string input, output, array of strings,

string manipulation functions, sorting of strings.

Unit 3

Structures: structure vs array comparison, complex structures, structures and functions, Union. Files and streams, file input

output, command line arguments.

TEXTBOOK:

1.Forouzan BA, Gilberg RF. Computer Science: A structured programming approach using C. Third Edition, Cengage

Learning; 2006.

REFERENCES:

1.Byron Gottfried. Programming With C. Fourth Edition, McGrawHill,; 2018.

2.Brian W. Kernighan and Dennis M. Ritchie. The C Programming Language. Second Edition, Prentice Hall, 1988.

3.Eric S. Roberts. Art and Science of C. Addison Wesley; 1995.

4.Jeri Hanly and Elliot Koffman. Problem Solving and Program Design in C. Fifth Edition, Addison Wesley (Pearson);

2007.


Course Outcomes:

CO Statement Level

CO1 Understand the typical programming constructs: data (primitive and compound),

control, modularity, recursion etc. thereby to understand a given program

L2

CO2 Understand and analyze a given program by tracing, identify coding errors and

debug them

L2

CO3 Make use of the programming constructs appropriately and effectively while

developing computer programs

L3

CO4 Develop computer programs that implement suitable algorithms for problem

scenarios and applications

L3

CO-PO Mapping:


CO1 1 1

CO2 1 1 1 1

CO3 1 2 2 2

CO4 2 3 2 3

19CSE103 USER INTERFACE DESIGN 1 0 3 2

Preamble

Focus in this course is on the basic understanding of user interface design by applying HTML, CSS and Java Script. On the

completion of the course, students will be able to develop web applications.

Prerequisite(s)

NIL

Syllabus

Unit 1

Introduction to Web – Client/Server - Web Server - Application Server- HTML Basics- Tags - Adding Web Links and

Images-Creating Tables-Forms - Create a Simple Web Page - HTML 5 Elements - Media – Graphics.

Unit 2

CSS Basics – Features of CSS – Implementation of Borders - Backgrounds- CSS3 - Text Effects - Fonts - Page Layouts with

CSS

Unit 3

Introduction to Java Script – Form Validations – Event Handling – Document Object Model - Deploying an application

TEXTBOOK:

1.Kogent Learning Solutions Inc. Html5 Black Book: Covers Css3, Javascript, Xml, Xhtml, Ajax, Php And Jquery. Second

Edition, Dreamtech Press; 2013.

REFERENCES:

1.Tittel E, Minnick C. Beginning HTML5 and CSS3 For Dummies. Third edition, John Wiley & Sons; 2013.

2.Powell TA, Schneider F. JavaScript: the complete reference. Paperback edition, Tata McGraw-Hill; 2012.


Course Outcomes

CO Statement Level

CO1 Understand the basics of World Wide Web L2

CO2 Understand the fundamentals of HTML5 L2

CO3 Understand the fundamentals of CSS and Java Script L2

CO4 Design and deploy a simple web application L3

CO-PO Mapping:

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

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

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

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

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

19CSE111 FUNDAMENTALS OF DATA STRUCTURES 2 0 0 2

Preamble

This course aims to provide the students an introduction to the structure and functionalities of the common data structures

used in computer science, and solve simple problems applying the properties and functionalities of these data structures.

Prerequisite(s)

NIL

Syllabus

Unit 1

Basic concepts of Data Structures; Basic Analysis of Algorithms - big-Oh notation, efficiency of algorithms, notion of time

and space complexity. Stacks: properties, LIFO, functions, Simple problems.

Unit 2

Recursion – Simple Examples , Linear Recursion , Binary Recursion. Queues: Properties - FIFO- Functions, simple

problems, Double Ended Queue, Circular Queue.

Unit 3

Linked Lists - Types, Properties , Functions, Simple problems. Vectors and Hash Tables - Functions and Properties. Sets –

properties and implementation.

TEXTBOOK:

1.Goodrich MT, Tamassia R, Goldwasser MH. Data structures and algorithms in Python. John Wiley & Sons Ltd; 2013.

REFERENCES:

1.Goodrich MT, Tamassia R, Data structures and algorithms in Java. Fifth edition, John Wiley & Sons; 2010.

2.Tremblay JP, Sorenson PG. An introduction to data structures with applications. Second Edition, McGraw-Hill; 2002.

3.Shaffer CA. Data Structures and Algorithm Analysis. Third Edition, Dover Publications; 2012.

Course Outcomes:

CO Statement Level

CO1 Understand the basics of analysis of algorithms L2

CO2 Understand the linear data structures, hash tables and their functionalities L3

CO3 Solve simple problems that uses the properties and functions of the data structures L3

CO-PO Mapping

CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

CO1 3 1 1 2 1

CO2 2 2 2 2 2 1

CO3 1 2 1 1 2 1

19CIE102 MECHANICS: STATICS AND DYNAMICS

Course Objectives:

To understand the procedure for analysis of static objects; concepts of force, moment, and mechanical

equilibrium.

To analyze forces and moments in two and three dimensions due to concentrated and distributed forces in various

systems such as beams, frames and trusses.

To analyze the bodies which is in motion using the basics of kinetics and kinematics

Course Outcome :

Able to analyze force systems in plane and also in space.

Able to solve two and three dimensional rigid body static equilibrium problems.

Able to determine the centroid of planes, center of gravity of masses and evaluate their moments of

inertia.

Able to evaluate velocity and acceleration of a particle in rectangular and cylindrical coordinate

systems and angular velocity of rigid bodies that are in plane motion.

L T P Cr

2 1 0 3

Able to solve the problem related to bodies in dynamic Equilibrium and bodies undergoing forced

and free vibration using the laws of kinetics

CO-PO Mapping

CO – PO,PSO AFFINITY MAP

PO PO

1

PO

2

PO

3

PO

4

PO

5

PO

6

PO

7

PO

8

PO

9

PO1

0

PO1

1

PO1

2

PSO

1

PSO

2

PSO

3 CO

15 CVL102.1 3 3 1 3

15CVL 102.2 3 3 1 3

15CVL102.3 3 3 1 3

15CVL102.4 3 3 1 3

15CVL102.5 3 3 1 3

Unit 1Principles of statics: Introduction to vector approach – free body diagrams –forces in plane – forces in space –

concurrent forces - resolution of forces –equilibrium of particle.

Statics of rigid bodies in two dimensions and three dimensions: Moment of a force about a point – moment of a force about

an axis – moment of a couple – equivalent force couple system – rigid body equilibrium – support reactions.

Unit 2Applications of statics: Friction – contact friction problems. Analysis of trusses –method of joints – method of

sections.

Properties of surfaces and solids - Centroid, Moment of inertia, Polar moment ofinertia, Mass moment of inertia, Product of

inertia and Principal moment of inertia.

Unit 3Dynamics: Rectangular and cylindrical coordinate system - Combined motion of rotation and translation - Newton’s

second law in rectilinear translation - D’Alembert’sprinciple - Mechanical vibration - free and forced vibrations, resonance

and its effects; Degree of freedom; Frequency and amplitude of free vibrations without damping and single degree of

freedom system, simple problems.

Text Books:

1. Beer, F. P. and Johnston, E. R., “Vector Mechanics for Engineers- Statics and Dynamics”,

8/e, McGraw Hill International Book Co., 2008.

2. Shames, I. H, “Engineering Mechanics – Statics and Dynamics”, 4/e, Prentice–Hall of India

Pvt. Ltd., 2003.

References:

1. Hibbeler, R. C., “Engineering Mechanics’, 12/e, Pearson Education Pvt. Ltd., 2007.

2. Meriam, J. L., “Dynamics”, 5/e, John Wiley & sons, 2003.

3. K. L. Kumar, “Engineering Mechanics”, 3/e, Tata McGraw Hill, 2003.

Evaluation Pattern:

First periodical 15 marks

Second periodical 15 marks

Assignments/tutorials, quizzes, presentation, term project 20 marks

End semester 50 marks

Total 100 marks

19CIE111 Introduction to Civil Engineering

Course Objectives:

To give an understanding about the areas of specializations available in the field of Civil Engineering

To motivate the student to pursue a career in one of the many areas of Civil Engineering with deep interest and

keenness.

To expose the students to the various avenues available for doing creative and innovative work by showcasing

many monuments and inspiring projects of public utility.

Course Outcomes:

Understand the relationship between the knowledge of basic science to civil engineering practice.

Illustrate the importance different component fields within civil engineering.

Visualize the importance of civil engineering practice in the most ethical manner for sustainable development.

CO-PO Mapping

CO – PO AFFINITY MAP

PO PO

1

PO

2

PO

3

PO

4

PO

5

PO

6

PO

7

PO

8

PO

9

PO1

0

PO1

1 PO12

PSO

1

PSO

2

PSO

3 CO

CO1 3 1 - -

CO2 1 3 1 - -

CO3 2 3 1 - -

What is Civil Engineering/ Infrastructure, History of Civil Engineering, Overview of ancient & modern civil engineering

marvels, current national planning for civil engineering/ infrastructure projects, scope of work involved in various branches

of Civil Engineering – Architecture & Town planning, Surveying & Geomatics, Structural Engineering, Construction

Management, Construction materials, Hydrology and Water Resources Engineering, Hydraulic Engineering, Environmental

Engineering &Sustainability, Pavement Engineering and construction, Traffic & Transportation Engineering and

Management, Geotechnical Engineering, Ocean Engineering, Building Energy Efficiency, Basics of Contract Management,

Professional Ethics, Avenues for entrepreneurial working, Creativity & Innovativeness in Civil Engineering.

Introduction to the civil engineering undergraduate curriculum map - the relationship between the courses in the

curriculum.

Text/Reference Books:

1. ValdengraveOkumu, “An Introduction to Civil Engineering”, Createspace Independent Publishers, 2014.

2. S. T. Mau and Sami Maalouf, “Introduction to Civil Engineering: A Student's Guide to Academic and Professional

Success”, Cognella, Inc; 2014

L T P Cr

1 1 0 2

3. Bhavikatti.S.S., “Basic Civil Engineering”, New Age International Publishers, 2010.

4. The National Building Code of India, BIS, (2017)

5. Code of ethics - www.ieindia.org

Evaluation Pattern:

Periodical 1 – 25 marks

Periodical 2 – 25 marks

Assignments / Tutorials – 20 marks

Field Project (group work) – 30 marks

Total 100 marks

19CUL101 CULTURAL EDUCATION – 1 2-0-0-2

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

Prerequisite(s) : NIL

Syllabus Unit-1Introduction to Indian culture; Understanding the cultural ethos of Amrita Vishwa Vidyapeetham; Amma’s life and

vision of holistic education.

Unit-2Goals of Life – Purusharthas; Introduction to Varnasrama Dharma; Law of Karma; Practices for Happiness.

Unit-3Symbols 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

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.


Course Outcomes:

After the completion of this course, the student will:

CO Statement Level

CO01 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

CO02

Understand the foundational concepts of Indian civilization like purusharthas, karma-

siddhanta, Indian Society and Varna-ashrama-dharma which contributes towards personality

growth.

CO03

Gain a positive appreciation of symbols of Indian culture, itihasas, festivals, traditions and the

spirit of living in harmony with nature.

CO04 Imbibe the principles and practices of Yoga.

CO05 Get guidelines for healthy and happy living from the great spiritual masters.

CO-PO Mapping:

Cos PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2

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

19CUL111 CULTURAL EDUCATION - 2 2-0-0-2

Preamble

To deepen students’ understanding and further their knowledge about the different aspects of Indian culture and heritage.

To instill into students a dynamic awareness and understanding of their country’s achievements and civilizing influences in

various fields and at various epochs. To bring a greater ability to deal with life’s challenges by helping students towards a

balanced and harmonized personality.

Prerequisite(s) : NIL

Syllabus

Unit-1 To the World from India; Education System in India; Insights from Mahabharata; Human Personality. India’s Scientific

System for Personality Refinement.

Unit-2 The Vedas: An Overview; One God, Many Forms; Bhagavad Gita – The Handbook for Human Life; Examples of Karma

Yoga in Modern India.

Unit-3

Chanakya’s Guidelines for Successful Life; Role of Women; Conservations with Amma.

Text Book

Cultural Education Resource Material Semester-2

Reference Book(s)

Cultural Heritage of India. R.C.Majumdar. Ramakrishna Mission Institute of Culture.

The Vedas. Swami ChandrashekharaBharati. BharatiyaVidyaBhavan.

Indian Culture and India’s Future. Michel Danino. DK Publications.

The Beautiful Tree. Dharmapal. DK Publications.

India’s Rebirth. Sri Aurobindo. Auroville Publications.


Course Outcomes

CO Statement Level

CO01

To get an overview of India’s contribution to the world in the field of art, architecture, and

science; to understand the foundational concepts of ancient Indian education system; to glean

insights from Mahabharata.

CO02

Learn the important concepts of Vedas, Vedangas, and Yogasutras for the refinement of

personality.

CO03

Familiarize themselves with the Bhagavad-Gita and its relevance to daily life; Understand the

sagacity of Chanakya; Role of Women in ancient Indian society.

CO04 To understand the principles of Yoga and its applicability through practice.

CO05 Gain a deep understanding of the underlying principles of diverse traditions of worship

CO-PO Mapping:


CO1 3 1

CO2

3 3

2 2 2 3 2

CO3 1 3 3

CO4

3 2 3

CO5

3 3

19EAC101 Introduction to Computer Engineering 3 0 0 3

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.

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

Course Learning Outcomes(CO): (Specific to the course, a faculty can define 6 to 10 COs)

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/

PO


2

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

TEXTBOOK:

1. 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

19EAC111 Digital Circuits and Systems 3 1 0 4

Objectives: .

• To understand number representation and conversion between different representation in digital electronic circuits.

• To analyze logic processes and implement logical operations using combinational logic circuits.

• To understand concepts of sequential circuits and to analyze sequential systems in terms of state machines.

.

Keywords:

Digital Circuit, Flipflops, Register, Memory.

Contents:

Unit 1

Introduction to logic families: ECL – TTL - Tri state logic. Implementation technology: Transistor switches - NMOS logic

gates - CMOS logic gates - Negative logic systems. Introduction to logic circuits: Variables and functions, inversion- Truth

tables- Logic gates and Networks- Boolean algebra - Synthesis using gates - Design examples - Optimized implementation of

logic functions: Karnaugh map - Strategy for minimization - Minimization of product of sums forms - Incompletely specified

functions - Multiple output circuits - Tabular method for minimization - Number representation and arithmetic circuits:

Addition of unsigned numbers- Signed numbers-Fast adders.

Unit 2

Combinational circuit building blocks: Multiplexers - Decoders - Encoders - Code converters - Arithmetic comparison

circuits. Sequential circuit building blocks: Basic latch - Gated SR latch - Gated D latch - Master slave and edge triggered -

D flip-flops - T flip-flop - JK flip-flop - Registers - Counters - Reset synchronization - Other types of counters.

Unit 3

Synchronous sequential circuits: Basic design steps - State assignment problem - Mealy state model - Serial adders - State

minimization. Asynchronous sequential circuits:Analysis of asynchronous circuits.

Outcomes: CO1: Understand the basics of Boolean logic, number system and codes for representing Boolean variables.

CO2: Develop Boolean equations and truth tables for synthesis using different logic gates and optimize the Boolean function

using different minimization methods

CO3: Analysis and Synthesis of multiple output function and its optimization

CO4: Design of various combinational circuits

CO5: Understanding various sequential circuit elements and its conversions

CO6: Develop various synchronous sequential circuits and analyse.

CO – PO Mapping:

CO/PO PO1 PO2 PO3 PO4 PO5 PO6 PSO1 PSO2

CO1 3 3 2 1 1 1 3

CO2 3 3 1 2 2 1 3

CO3 3 3 2 3 1 1 3 1

CO4 3 3 2 3 1 1 3 1

CO5 3 2 2 3 1 3 1

CO6 3 3 2 3 1 3 1

TEXTBOOKS/REFERENCES:

1. Stephen Brown, ZvonkoVranesic, “Fundamentals of Digital Logic with VerilogDesign”, Tata McGraw Hill Publishing

Company Limited, Second Edition.

2. M Morris Mano, Micheal D Ciletti “Digital Design with an introduction to the Verilog HDL”, Pearson Education, Fifth

Edition, 2013

3. Donald D Givone, “Digital Principles and Design”, Tata McGraw Hill Publishing Company Limited, 2003

4. John F. Wakerly, “Digital Design Principles and Practices”, Pearson Education, 3rd Ed, 2003.

19EAC181 Digital Systems Lab 0 0 3 1

Contents:

Familiarization of Digital trainer kit and study of logic gates, Realization of Boolean expressions using logic gates,

Realization of Boolean expressions using universal gates, Realization of code converters, Design of Adders/Subtractors,

Design of Multiplexers/ De-Multiplexers, Design of Encoders/ Decoders, Study of flip-flops, Design of Synchronous

counters, Design of Asynchronous counters

Outcomes:

CO1: Develop Boolean equations and truth tables for synthesis using different logic gates

CO2: Design combinational and sequential logic circuits.

CO3: Develop various shift registers

CO4: Design and construct synchronous, asynchronous counters and special type of counters.

CO – PO Mapping:

CO/PO PO1 PO2 PO3 PO4 PO5 PO6 PSO1 PSO2

CO1 3 2 3 1 1 1 1

CO2 3 3 3 1 1 1 1 -

CO3 3 3 3 1 1 1 1 -

CO4 3 3 3 1 1 1 1

TEXT BOOKS/REFERENCES:

1. Stephen Brown, ZvonkoVranesic, “Fundamentals of Digital Logic with Verilog Design”, Tata McGraw Hill Publishing

Company Limited, Second Edition.

2. M Morris Mano, Micheal D Ciletti “Digital Design with an introduction to the verilog HDL”, Pearson Education, Fifth

Edition, 2013

3. Donald D Givone, “Digital Principles and Design”, Tata McGraw Hill Publishing Company Limited, 2003.

19EAC112 Solid State Devices 3 0 0 3

Unit 1

Review of Semiconductor basics - Extrinsic and intrinsic semiconductors - Density of states - Equilibrium Carrier

concentrations - Drift velocity and mobility - Hall effect - Diffusion of Carriers - Built in fields - Excess Carriers –

generation and recombination – continuity equation – time independent diffusion equations under low level injection –

minority carrier diffusion - Haynes Shockley Experiment – Total current density

Unit 2

Basic structure of PN junctions – Built-in-potential – Space Charge region – electric field across junction - qualitative

description in forward and reverse bias – band diagram – minority carrier distribution across junction in forward and

reverse bias - boundary conditions - derivation of ideal IV relation across PN junction – PN junction IV characteristics -

junction capacitance – junction breakdown – Metal-Semiconductor Junctions – Basics of MOSFET – Ideal MOS Capacitor

– band diagram of MOS.

Unit 3

Effect of Real surface – Threshold Voltage – MOS Capacitance Voltage Characteristics – Current Voltage characteristics –

MOSFET Output characteristics – Transfer Characteristics – Subthreshold characteristics – Short Channel effects –

Substrate bias effect – Scaling and Hot carrier effects – Drain Induced Barrier Lowering. Fundamentals of BJT Operation –

Modes – Amplification – Minority Carrier Distribution and Terminal Currents – generalized biasing.

TEXT BOOKS:

1. Ben G. Streetman and Sanjay Kumar Banerjee, “Solid State Electronic Devices”, Prentice Hall India, Sixth Edition, 2009.

2. Donald A. Neamen, “Semiconductor Physics and Devices: Basic Principles”, McGraw-Hill International, Third Edition,

2003.

REFERENCES:

1. S. M. Sze and Kwok K. NG, “Physics of Semiconductor Devices”, John Wiley and Sons, Inc., Third Edition, 2007.

S. O. Kasap, “Principles of Electronic Materials and Devices”, Tata McGraw Hill, Third Edition, 2007

19ECE101 Introduction to IoT 0 0 3 1

Objectives:

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

Keywords:

Scratch for arduino, Ardublock, MIT App Inventor.

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

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

CO1 3 2

CO2 3 2 3 2

CO3 3 3

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

TEXT BOOKS/REFERENCES: 1. Sylvia Libow Martinez, Gary S Stager, Invent To Learn: Making, Tinkering, and Engineering in the Classroom,

Constructing Modern Knowledge Press, 2016

2. Michael Margolis, Arduino Cookbook, Oreilly, 2011

19ECE112 Electronic Devices and Circuits 3 0 0 3

Objectives:

To introduce basic semiconductor devices, their characteristics and applications.

To understand analysis and design of simple diode circuits.

To learn to analyze the PN junction behavior at the circuit level and its role in the operation of diodes and active

devices.

Keywords:

Passive components, Diodes, BJTs and MOSFETs.

Contents:

Review of Network and Semiconductor Basics - PN Junction Diodes - Forward and Reverse Biasing - Reverse Saturation

Current - Diode current components - Cut-in voltage - VI Characteristics. Diode Parameters – Data sheets - Diode Models.

Rectification – Half-wave - Full-wave and Bridge – Filters. Zener Diodes -Shunt voltage regulator - Regulator Design –

Case Study. Varactor Diodes - Schottky Diodes - Tunnel Diodes and LEDs.

Transistors – BJTs - PNP and NPN transistors – Effects - Transistor Currents - Amplifying action of a transistor. Transistor

Characteristics - CE configuration - Biasing - Quiescent point - Load line - Biasing - Fixed base bias - Small Signal Model

of BJT.

Field Effect Transistors - MOSFET - Enhancement and Depletion Modes - Regions of Operation. MOSFET Characteristics -

MOSFET Amplifier - MOSFET as a switch.

Outcomes: CO 1: Ability to analyze PN junctions in semiconductor devices under various conditions.

CO 2: Ability to design and analyze simple rectifiers and voltage regulators using diodes.

CO 3: Ability to describe the behavior of special purpose diodes.

CO 4: Ability to design and analyze simple BJT and MOSFET circuits.

CO – PO Mapping:

CO/

PO

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO1

1

PO1

2

PSO1 PSO2

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

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

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

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


1. Adel S Sedra, Kenneth C Smith and Arun N Chandorkar, “Microelectronic Circuits – Theory and Applications”,

Seventh Edition, Oxford University Press, 2017.

2. Robert L Boylestad and Louis Nashelsky, “Electronic Devices and Circuit Theory”, Eleventh Edition, Pearson India

Education Services Pvt. Ltd., 2015.

3. Donald A Neamen, “Electronic Circuits – Analysis and Design”, Third Edition, McGraw Hill Education, 2006.

4. Albert Malvino and David Bates, Electronic Principles, Eighth Edition, McGraw Hill Education, 2016.

19ECE181 Electronic Systems Lab 0 0 3 1

Objectives:

To implement Hardware Prototype for a specific application.

To develop basic Graphical User Interface suitable for data visualization.

To design and develop microcontroller based solution for automating a particular process.

Keywords:

Arduino, Message Queuing Telemetry Transport (MQTT), Bluetooth, ZigBee.

Contents:

1. GPIO and ADC Interfacing - LED, Switch, Relay, Proximity Sensor, Temperature Sensor, Moisture Sensor.

2. Serial Communication – Bluetooth, ZigBee, RFID.

3. GSM and GPS Interfacing.

4. Motor Interfacing – DC, Stepper, Servo.

5. I2C Interface – EEPROM, RTC.

6. Internet of Things – Wifi Web Server, MQTT.

7. Cloud Interfacing – UbiDots, Thinkspeak.

8. Processing IDE – 2D, 3D operations, Colour Transformations.

9. Image and Video Processing – Thresholding, Pixel manipulation, Filters, Colour Tracking.

10. Keyboard and Mouse Interfacing –Arduino Interface.

Outcomes: CO 1: Able to demonstrate both analog and digital sensor interfacing with a programmable platform.

CO 2: Able to implement various communication protocols used in the design of portable devices.

CO 3: Able to develop graphical control panel using processing IDE.

CO 4: Able to design and develop embedded systems using Arduino and Processing IDE.

CO – PO Mapping:

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

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

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

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

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

TEXT BOOKS/REFERENCES: 3. Michael Margolis, Arduino Cookbook, Oreilly, 2011.

4. Casey Reas, Ben Fry, Processing: A Programming Handbook for Visual Designers and Artists, The MIT Press, 2014.

5. Jan Vantomme, Processing 2:Creative Programming Cookbook, Packt Publishing, 2012.

19ECE111 Circuit Theory 3 0 0 3

Objectives: • To review the concepts of mesh and nodal analysis.

• To introduce the different network theorems for DC and AC analysis.

• To introduce transient analysis of first order and second order circuits.

• To introduce the basic concepts of filters and filter design.

Keywords:

Kirchoffs Laws, Network Theorems, Transient Analysis, Network Parmeters.

Contents:

Mesh current and node voltage analysis of circuits with independent and dependent sources. Network Reduction - Source

transformation - Star-Delta transformation. Network Theorems: Thevenin and Norton’stheorems - Superposition theorem -

Maximum power transfertheorem.

Transient Analysis - Time domain analysis of first and second order circuits – source free excitation- with DC Excitation.

Frequency response of Series and Parallel circuits - Resonance - Q-factor and Bandwidth.

Two-port Networks - impedance - admittance – hybrid - transmission parameters. Passive filters as two port networks -

poles and zeroes, filter design.

Outcomes: CO1: Able to understand the mesh analysis and nodal analysis of circuits with dependent and independent sources.

CO2: Able to apply the basic concepts and theorems to the analysis of dc and ac networks.

CO3: Able to analyze the first and second order circuits in the time domain.

CO4: Able to determine the network parameters of any two port network.

CO5: Able to design and analyze passive filter circuits.

CO – PO Mapping:

CO/

PO

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO1

0

PO1

1

PO1

2

PSO

1

PSO

2

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

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

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

CO4 3 3 - - - - - - - - - - - -

CO5 3 - - - - - - - - - - - 2 -

TEXT BOOKS/REFERENCES: 1. Charles K Alexander, Mathew N. O. Sadiku, Fundamentals of Electric circuits, Tata McGraw Hill, 2003.

2. D. Roy Chaudhary, Networks and Systems, New Age International Publisher, 2003.

3. John D. Ryder, Myril Baird ReedandW. L. Everitt, Foundation for Electric Network Theory, Prentice Hall of India,

Second Edition, 2013.

4. M. E. Van Valkenburg, Network Analysis, Prentice Hall India Private Limited, Third Edition, 1999.

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

(Applicable for Aerospace, Civil, Mechanical and Chemical Engineering)

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.

http://www.amazon.in/s/ref=dp_byline_sr_book_2?ie=UTF8&field-author=Myril+Baird+Reed&search-alias=stripbooks

http://www.amazon.in/s/ref=dp_byline_sr_book_3?ie=UTF8&field-author=W.+L.+Everitt&search-alias=stripbooks

Course Outcomes: On completion of the course the students will be able to

CO1 Understand the basic electric and magnetic circuits

CO2 Analyse DC and AC circuits

CO3 Interpret the construction and working of different types of electrical machines

CO4 Analyse basic electronic components and circuits.

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.

Text Books

1. Edward Hughes. “Electrical and Electronic Technology”, 10th Edition, Pearson Education Asia, 2019.

2. D. P. Kothari, I J Nagrath, “Electric Machines”, 5th Edition, Tata McGraw Hill, 2017.

3. A. P. Malvino, “Electronic Principles”, 7th Edition, Tata McGraw Hill, 2007.

Reference Books

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

2. Vincent Del Toro, “Electrical Engineering Fundamentals”, Prentice Hall of India Private Limited, 2nd Edition, 2003.

3. David A. Bell, “Electronic Devices and Circuits”, 5th Edition, Oxford University Press, 2008.

4. Michael Tooley B. A., “Electronic circuits: Fundamentals and Applications”, 3rd Edition, Elsevier Limited, 2006.

19EEE181 BASIC ELECTRICAL AND ELECTRONICS ENGINEERING LAB 0-0-3-1

(Applicable for Aerospace, Civil, Mechanical and Chemical Engineering)


1. create basic electrical connections for domestic applications

2. measure the various electrical parameters in the circuit

3. Analyse the performance of electrical machines.

4. Analyse basic electronic circuits.

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

19EEE111 Electrical and Electronics Engineering 3-0-0-3

(Applicable for ECE, CCE, CSE, and EAC)

Course Objectives

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.


CO1 Understand the basic electric circuits

CO2 Analyse DC and AC circuits

CO3 Understand the characteristics and applications of Diode and Transistors

CO4 Analyse basic electronic circuits and applications.

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

4. Edward Hughes. “Electrical and Electronic Technology”, 10th Edition, Pearson Education Asia, 2019.

5. A. P. Malvino, “Electronic Principles”, 7th Edition, Tata McGraw Hill, 2007.

Reference Books

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

6. Vincent Del Toro, “Electrical Engineering Fundamentals”, Prentice Hall of India Private Limited, 2nd Edition, 2003.

7. David A. Bell, “Electronic Devices and Circuits”, 5th Edition, Oxford University Press, 2008.

8. Michael Tooley B. A., “Electronic circuits: Fundamentals and Applications”, 3rd Edition, Elsevier Limited, 2006.

19EEE182 ELECTRICAL AND ELECTRONICS ENGINEERING PRACTICE 0-0-3-1

(Applicable for ECE, CCE, CSE, and EAC)


1. create basic electrical connections for domestic applications

2. measure the various electrical parameters in the circuit

3. construct and analyze basic electronic circuits

4. construct the amplifier circuits using Op-Amp

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

19EEE112 ELECTRIC CIRCUITS 3-0-3-4

Pre-Reqsuisite: Engineering Physics – A (19PHY101)

COURSE OUTCOME:

CO1 Formulate equations for electric circuits based on fundamental laws.

CO2 Compute the electrical quantities using network theorems and graph theory in steady state.

CO3 Analyse the behaviour of electric circuits under transient conditions.

CO4 Evaluate circuit parameters in three phase systems.

CO5 Deducing the parameters of two port network

CO6 Understand the theoretical concepts through Laboratory and simulation experiments.

Unit 1

Review of circuit elements, fundamental laws, AC representations.

Steady state analysis of DC and AC circuits: Practice of Mesh Current and Node Voltage analysis of circuits with

independent and dependent sources. Source transformation, Star-Delta Transformation, Network Theorems - Thevenin and

Norton’s theorems, Superposition theorem, Maximum Power Transfer Theorem, Tellegen’s and Reciprocity Theorem

Unit 2

Graph Theory: Incidence matrix, Fundamental Tie-Set Matrix, Fundamental Cutset Matrix, Formulation of network

equations using KCL and KVL.

Transient Analysis: Time domain analysis of first and second order circuits, Analysis of AC circuits using Laplace

transforms, Case Study/Simulation.

Frequency response of series and parallel circuits: RLC Resonance, Q-factor and Bandwidth: Simulation.

Unit 3

Three phase systems – Three phase 3-wire and 4-wire circuits, balanced and unbalanced, Star and Delta connected source

and loads, Phasor Diagrams.

Coupled circuits – Dot convention analysis.

Two-Port Networks: Z, Y, ABCD, hybrid and inverse hybrid parameters, interconnections and relationships among different

network parameters.

Virtual lab platforms / simulation demos can be used for effective classroom teaching.

Lab Practice: Hardware/Simulation experiments in Kirchhoff’s laws, Network Theorems, Transients, Resonance etc.

TEXT BOOKS:

Alexander C K and Sadiku M N O, Fundamentals of electric circuits, 5th ed. New York, McGraw-Hill, 2013.

REFERENCES:

1. Nahvi M and Edminister J, Schaum’s Outline of Electric Circuits, 5th ed. New York,

McGraw-Hill, 2011.

2. Hayt W, Kemmerly J, and Durbin S, Engineering circuit analysis, 7th ed. Boston,

McGrawHill Higher Education, 2007.

3. Van Valkenburg M E, Network Analysis, 3rd ed. New Delhi, Prentice Hall-India, 2011.

4. Virtual labs, NPTEL Videos, Simulation demos etc.

19EEE113 ELECTRICAL ENGINEERING PRACTICE 1-0-3-2

COURSE OUTCOME:

CO1 Understand electrical safety measures and identify electrical tools, electronic components and their

symbols.

CO2 Understand electric laws using simulation studies and detect failures in electrical and electronic circuits.

CO3 Understand handling basic electrical and electronics equipment’s.

CO4 Understand domestic wiring procedures practically.

CO5 Understand how to assemble electronic systems.

CO6 understand the operation of various household Electrical appliances.

Electronics: Familiarization of electronic components (passive and active components), Resistor, Inductor and capacitor.

Study of measuring instruments (Voltmeter, Ammeter and Multimeter). Verification of OHM’s law. Measurement and

theoretical Verification of series and parallel combination of resistors and capacitors. Familiarization of CRO and function

generator, Rectifier circuits, Soldering and De-soldering practice. Electrical: Study on power supply and protective devices, Study on basic electrical tools and electrical accessories, Study on various

lighting technologies, Study on house hold appliances: Iron box, Fan, Refrigerator, Air conditioner, Food Mixer/grinder Domestic wiring practices: Glow an incandescent lamp using SPST switch, Glow a fluorescent lamp using SPST switch,

Operate a fan and an incandescent lamp using two independent SPST switch, Operate a fluorescent lamp and a 3 pin socket

using two independent SPST switch, Staircase wiring.

19EEE114 ELECTRONIC CIRCUITS 3-0-3-4

Unit 1

Diodes: Diode clipping and clamping circuits and Zener voltage regulators, Applications of Diodes: Design of Clipper,

clamper circuits and Voltage Doubler.

BJT: Current – Voltage characteristics, BJT as an amplifier and as a switch, brief idea of dc analysis, Biasing circuits,

small signal operation and models, single stage BJT amplifiers, Frequency response of CE amplifier. Emitter follower.

Unit 2

MOS Field Effect Transistors: Introduction, device structures and physical operations, i-v characteristics, brief analysis as

an amplifier, and as a switch, Biasing, small signal operation and models, single stage MOS Amplifiers, frequency response

of CS amplifiers. Differential Amplifiers: MOS differential Pair, Small signal operation, frequency response of differential

amplifier, Introduction to differential amplifier with active load. Overview-Design and performance analysis of CMOS

Inverter, Logic Gate circuits.

Unit 3

Power amplifier: Classification and Comparison in Class A, B, AB, D. Voltage References and Regulators: Design of linear

power supplies, Characteristics of voltage regulators, Analysis of series voltage regulator. Feedback amplifiers, Oscillators

- RC, LC and Crystal, Multivibrators - Analysis and Design of Bistable, Monostable, Astable Multivibrators and Schmitt

trigger using transistors.

 

Practical way of classroom teaching using Virtual lab /Simulation demo may be used.

Hardware/Simulation experiments in Diode Applications, BJT Characteristics and Amplifier Design, MOSFET Switching

characteristics, Regulators, Oscillators.

TEXT BOOK

1. Adel.S.Sedra, Kenneth.C. Smith, “Microelectronic Circuits”, Oxford University Press, Fifth Edition, 2005.

REFERENCES

1. Donald.E.Neaman, “Electronic Circuit, Analysis and Design”, Tata McGraw Hill Publishing Company Limited,

Second Edition, 2006.

2. David A. Bell, “Electronic devices and Circuits”, 5th Edition, Oxford University Press India, 2008.

3. Thomas L. Floyd, David M. Buchla, Electronics Fundamentals: Circuits, Devices & Applications, 8th Edision,

Pearson education

4. Virtual labs, NPTEL Videos, Simulation demos etc.

19ENG111 Technical Communication 2 0 3 3

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

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

References

1. Hirsh, Herbert. L “Essential Communication Strategies for Scientists, Engineers and Technology Professionals”. II

Edition. New York: IEEE press, 2002

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

Publication, 2003

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

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

Delhi: Biztantra, 2004.

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

Course Outcomes: The course will enable the student:

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

Mapping of course outcomes with program outcomes:

Course

Outcomes


CO1 3

CO2 1 2

CO3 3

CO4 1 2

CO5 2 1

Evaluation Pattern:

Weightage: Internal Assessment (70%) and External Assessment (30%)

Periodical 1: 10% of Total Weightage

Periodical 2: 10% of the Total Weightage

Continuous Assessment: 10% of Total Weightage

Lab: 40% of Total Weightage

End Semester Examination: 30% of Total Weightage

19MAT101 Single VariableCalculus 1 0 0 1

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.

Calculus

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

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)

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

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

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

Reference

1. ‘Calculus’, Monty J. Strauss, Gerald J. Bradley and Karl J. Smith, 3rd Edition, 2002.

CO – PO Mapping

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

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

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

Course Evaluation pattern:

Test-1 -25 marks (one hour test) after 8th lecture.

CA - 25 marks (Quizzes / assignments / lab practice)

Test – 2- 50 marks (two-hour test) at the end of 15th lecture.

Total - 100 marks.

Supplementary exam for this course will be conducted as a two-hour test for 100 marks.

19MAT102 Matrix Algebra 2 0 0 2

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 form 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.

Syllabus:

Review: System of linear Equations, linear independence. (3 hrs)

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

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

Hermitian and Skew Hermitian Matrices and Orthogonal matrices. (Sections: 8.1-8.4) (10 hrs)

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

Method for Eigen Values and Eigen Vectors. (Sections: 20.2, 20.3, 20.8) (8 hrs)

Text Book:

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

Reference Books:

2. Advanced Engineering Mathematics by Dennis G. Zill and Michael R.Cullen, second edition, CBS Publishers, 2012.

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

Course Evaluation Pattern:




Total - 100 marks.


19MAT111 Multi Variable Calculus 2 00 2

Course objectives

The course is expected to enable the students

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

At the end of the course the student will be able to

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.


CO1 3 2 1

CO2 2 3 1

CO3 3 1

CO4

CO5

CO6

Functions of severable variables: 5 hours

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

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

Vector Differentiation: 10 hours

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.

(Sections : 9.4, 9.5, 9.6, 9.9, 9.10, 9.11)

Vector Integration: 15 hours

Line Integral, Line Integrals Independent of Path. (Sections : 10.1, 10.2)

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

Theorem, Stoke’s Theorem. (Sections : 10.4, 10.5, 10.6, 10.7, 10.9 )

Lab Practice Problems: Graph of functions of two variables, shifting and scaling of graphs. Vector products. Visualizing

different surfaces.

Text Book:


Reference Books:

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

2012.


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

CO – PO Mapping


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

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

CO3 2 2 3





Total - 100 marks.


19MAT112 Linear Algebra 2-1-0-3

Course Outcomes:

CO1 Understand the basic concepts of vector space, subspace, basis and dimension

CO2 Understand the basic concepts of inner product space, norm, angle, Orthogonality and projection and implementing

the Gram-Schmidt process, to obtain least square solution

CO3

Understand the concept of linear transformations, the relation between matrices and linear transformations, kernel,

range and apply it to change the basis, to get the QR decomposition, and to transform the given matrix to

diagonal/Jordan canonical form.

CO4 Understand the concept of positive definiteness, matrix norm and condition number for a given square matrix.

Review of matrices and linear systems of equations. (2 hrs)

Vector Spaces: Vector spaces - Sub spaces - Linear independence - Basis - Dimension - Inner products - Orthogonality -

Orthogonal basis - Gram Schmidt Process - Change of basis.

(12 hrs)

Orthogonal complements - Projection on subspace - Least Square Principle. (6 hrs)

Linear Transformations: Positive definite matrices - Matrix norm and condition number - QR- Decomposition - Linear

transformation - Relation between matrices and linear transformations - Kernel and range of a linear transformation.

(10 hrs)

Change of basis - Nilpotent transformations - Similarity of linear transformations - Diagonalisation and its applications -

Jordan form and rational canonical form. (10 hrs)

SVD.

Text Book:

1. Howard Anton and Chris Rorrs, “Elementary Linear Algebra”, Ninth Edition, John Wiley & Sons, 2000.

Reference Book:

1. D. Poole, Linear Algebra: A Modern Introduction, 2nd Edition, Brooks/Cole, 2005.

2. Gilbert Strang, “Linear Algebraand its Applications”, Third Edition, Harcourt College Publishers, 1988.

CO-PO mapping:





End semester- 50 marks (three hour test) at the end of the course.

Total - 100 marks.

Supplementary exam for this course will be conducted as a three-hour test for 50 marks.

19MAT103 Linear Algebra for Chemical Engineering 3 1 0 4

Course Outcomes


CO01 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.

CO02 Using appropriate numerical techniques, solve systems of linear algebraic equations and determine inverses of

invertible matrices, and apply these solutions to engineering problems.


CO1 3 2 1

CO2 3 3 2

CO3 3 3 2

CO4 3 2 1

CO03 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.

CO04 Develop numerical techniques to solve single and systems of nonlinear algebraic equations and apply them to

solve engineering problems.

CO05 Define correlation between variables, use it to develop linear regression models and apply them to engineering

problems.

CO06 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 solutions.

Unit -1Vectors 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

Unit -2Eigenvalues 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 -3Solution 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.

CO-PO Mapping


10

PO

11

PO

12

PSO

1

PSO2 PSO3

CO01 2 3 3 3 3 2 2 2 2

CO02 2 3 3 3 3 2 2 2 2

CO03 2 3 3 3 3 2 2 2 2

CO04 2 3 3 3 3 2 2 2 2

CO05 2 3 3 3 3 2 2 2 2

CO06 2 3 3 3 3 3 3 2 2 2

TEXT BOOKS

1. Gilbert Strang, Linear Algebra and Its Applications, 4th Edition, Cengage Learning, 2006

2. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley-India Pvt. Ltd., 2011

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

REFERENCE BOOKS

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

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

Press, 2006

3. AlkisConstantinides, NavidMostoufi, Numerical Methods for Chemical Engineers with MATLAB Applications, Prentice

Hall International Series, 1999.

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


Test-1 -15 marks (two hour test)


Test – 2- 15 marks (two-hour test)

End semester- 50 marks.

Total - 100 marks.


19MAT113 Differential and Integral Calculus 3 1 0 4

Unit – 1 Functions – Functions and their graphs, Shifting and scaling of graphs; Limits and Continuity of a function- one-

sided and two-sided limit; Differentiation – Tangents and derivative, derivative as function, differentiability, continuity of a

function; vertical tangent; horizontal and vertical asymptotes, Slope, Tangent, Normal, Curvature, Binormal, Minima and

Maxima of a function; Application of derivatives – Concavity and Curve Sketching; Filling and draining of tanks; Derivative

of a function - Chain Rule, Implicit Differentiation, Mean Value Theorem, Partial and Total Derivative

Unit – 2 Finite differences - Difference Approximations – Forward, Backward and Central Differences; Numerical

Differentiation.

Integral as Anti-derivative, Area under Curve, Limit of Sums: Riemann Integral; Integration Formulae - Techniques of

Integration; Definite Integrals - Lengths, Areas, Volume, Work, Pressures, Forces; Numerical Integration:

Trapezoidal and Simpson’s Rules.

Unit – 3 Double and Triple Integrals: An Introduction; Application Problems: Thermodynamics (Heat, Work), Fluid

Mechanics (without introducing vector calculus), Mass Transfer (NTU in packed beds), Chemical Reaction Engineering

(RTD)

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 Understand the finite differences and apply to numerical differentiations.

CO4 Understand the concept of integration and numerical integration.

CO5 Apply Fundamental Theorem of Line Integrals and multiple integrals to solve problems in fluid mechanics,

thermodynamics and other problems.

CO-PO Mapping


10

PO

11

PO

12

PSO

1

PSO2 PSO3

CO1 2 3 3 3 2

CO2 2 3 3 3 2

CO3 2 3 3 3 2

CO4 2 3 3 3 2

CO5 2 3 3 3 2

Text Books

1. James Stewart, Calculus: Early Transcendentals, 7th Edition, Cengage Learning, 2012

2. Maurice D. Weir and Joel Hass, Thomas’ Calculus, 12th Edition, Pearson Education India Pvt. Ltd., 2016

References Books

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






Total - 100 marks.


19MAT104 Basic Linear Algebra 2-0-0-2

(Applicable for Mechanical Engg Branch)

Course objectives The course is expected to enable the students

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.

Keywords: Euclidean Vector Space, System of Equations, General Vector Spaces, Linear Transformation, Diagonalization.

Syllabus 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.

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.

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.

Course Outcomes At the end of the course the student will be able to

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/P

O

PO

1

PO

2

PO

3

PO

4

PO

5

PO

6

PO

7

PO

8

PO

9

PO1

0

PO1

1

PO1

2

PSO

1

PSO

2

PSO

3

CO1 2 2

2 1

1 1 2

CO2 3 2

1 1

2 2 1

Text Book 1. Elementary Linear Algebra, Howard Anton and Chris Rorres, 11th Edition, Wiley, 2015.

2. Linear algebra: A modern introduction, D Poole. Cengage Learning,4thEdition 2015.

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

19MAT114 Differential Equations and Transforms 3-1-0-4

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 find the Fourier series of arbitrary functions and to find the Fourier and Laplace transforms of functions.

CO4 Recognize the three basic types of partial differential equations and to use both analytic methods to the solution of

hyperbolic, parabolic and elliptic partial differential equations.

Syllabus

First order ODE: Ordinary Differential Equations – Basic concepts, modelling, first order ODEs, exact ODEs, integrating

factors. (5hrs)

Second order ODE: , homogeneous linear ODEs, Euler-Cauchy equations, existence and uniqueness of solution,

Wronskian, non-homogeneous ODEs, variation of parameters. Modelling of free and forced oscillations of spring-mass

system, resonance. (13hrs)

Higher order ODEs, homogeneous and nonhomogeneous linear ODEs. System of ODEs – Phase space, velocity field, flow,

fixed points, stability of fixed points. Qualitative methods for ODEs.

(12 hrs)

Fourier Series, arbitrary period, even and odd expressions, half range expressions, Fourier Integral, Fourier transforms.

Laplace transform, transform of derivatives and integrals, solution of initial value problems by Laplace transform.

(15hrs)

Partial differential equations – Basics of PDEs. Modelling of vibrating string, wave equation, solution by separation of

variables, D’Alembert’s solution, Heat flow modelling, heat equation, solution of heat equation by Fourier series, heat

equation in very long bars, solution by Fourier transforms, Laplace’s equation and its solution.

(15hrs)

Text Book

1. Advanced Engineering Mathematics, Erwin Kreyszig, 10th Edition, Wiley, 2016.

Reference Book:

1. Engineering Mathematics, Srimanta Pal and Subodh C Bhunia, Oxford university press, 2015.

2. Advanced Engineering Mathematics, Wylie and Barrett, 6th Edition, McGraw Hall India, 2015.






Total - 100 marks.


19MAT106 Ordinary Differential Equation 2 0 0 2

Ordinary Differential Equations

Linear Differential Equations and Bernoulli Equation. Modelling Problems: Mixing Problem, Electric Circuits and

vibration of strings. (10 hrs)

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.

(Sections 1.1-1.5, 2.4-2.10, 4.1, 4.2) (15 hrs)

Computational Methods: Euler’s methods, Runge-Kutta method. (Sec: 21.1) (5 hrs)

Text Book:


Reference Books:



2012.

Course outcomes (COs)

CO1 Understand the basic concepts of differential equations

CO2 Solve the ordinary differential equations using variation of parameters, undetermined coefficients and

by numerical tequnique.

CO3 Understand the formation of modelling problems in ordinary differential equations and apply some

standard methods to obtain its solutions.





Total - 100 marks.


19MAT116 Laplace Transform 1 00 1

Course Outcomes:

CO1 To understand the Laplace transform and its properties.

CO2 Apply the Laplace transform to solve differential equations.

Laplace Transforms, Inverse Transforms, Linearity, Shifting, Transforms of Derivatives and Integrals, Differential

Equations, Unit Step Function, Second Shifting Theorem, Dirac’s Delta Function. Differentiation and Integration of

Transforms. Convolution, Integral Equations, Partial Fractions, Differential Equations, Systems of Differential Equations.

(Sections: 6.1 to 6.7)

Lab Practice: Laplace transform for different functions.

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

Reference Books:‘Engineering Mathematics’, Srimanta Pal and Subhodh C Bhunia, John Wiley and Sons, 2012, Ninth

Edition. Advanced Engineering Mathematics by Dennis G. Zill and Michael R.Cullen, second edition, CBS Publishers, 2012.

CO – PO Mapping


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


CO1 3

CO2 2 3

CO3 1 2 2 3

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





Total - 100 marks.

Supplementary exam for this course will be conducted as a two-hour test for 100 marks

19MAT115 Discrete Mathematics 3 1 0 4

Course Outcomes

CO1 Understand the basic concepts of Mathematical reasoning and basic counting techniques. Also understand the

different types of proves like mathematical induction.

CO2 Understand the concepts of various types of relations, partial ordering and equivalence relations.

CO3 Apply the concepts of generating functions to solve the recurrence relations.

CO4 Apply the concepts of divide and conquer method and principle of inclusion and exclusion to solve some simple

algorithms in discrete mathematics.

CO5 Understand various definitions in graph theory and study their properties. Also, understand the shortest path

problem and apply to a network.

Affinity Map

Logic, Mathematical Reasoning and Counting: Logic, Prepositional Equivalence, Predicate and Quantifiers, Theorem

Proving, Functions, Mathematical Induction. Recursive Definitions, Recursive Algorithms, Basics of Counting, Pigeonhole

Principle, Permutation and Combinations. (Sections: 1.1 -1.3, 1.5 -1.7, 2.3, 4.1 - 4.4, 5.1 - 5.3 and 5.5)

Relations and Their Properties: Representing Relations, Closure of Relations, Partial Ordering, Equivalence Relations and

partitions. (Sections: 7.1, 7.3 - 7.6)

Advanced Counting Techniques and Relations: Recurrence Relations, Solving Recurrence Relations, Generating

Functions, Solutions of Homogeneous Recurrence Relations, Divide and Conquer Relations, Inclusion-Exclusion. (Sections:

6.1 - 6.6)

Number Theory: Divisibility and Factorization. Congruences. Simultaneous linear congruences, Chinese Remainder

Theorem. Wilson's Theorem, Fermat's Theorem, pseudoprimes and Carmichael numbers, Euler's Theorem. Arithmetic

functions and Quadratic residues:

TEXTBOOKS:

1. Kenneth H. Rosen, “Discrete Mathematics and its Applications”, Tata McGraw- Hill Publishing Company

Limited, New Delhi, Sixth Edition, 2007.

2. James Strayer, Elementary Number Theory, Waveland Press, 2002.


CO1 3 2 1

CO2 3 3 2

CO3 3 3 2

CO4 3 2 1

CO5 2 3 2

REFERENCES:

1. R.P. Grimaldi, “Discrete and Combinatorial Mathematics”, Pearson Education, Fifth Edition, 2007.

1. Thomas Koshy, “Discrete Mathematics with Applications”, Academic Press, 2005.

2. Liu, “Elements of Discrete Mathematics”, Tata McGraw- Hill Publishing Company Limited , 2004.






Total - 100 marks.


19MAT106 Ordinary Differential Equations 2 0 0 2

Course objectives

The course is expected to enable the students

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.

Linear Differential Equations and Bernoulli Equation. Modelling Problems: Mixing Problem, Electric Circuits and

vibration of strings. (10 hrs)

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. (Sections 1.1-1.5, 2.4-2.10, 4.1, 4.2) (15

hrs)

Computational Methods: Euler’s methods, Runge-Kutta method. (Sec: 21.1) (5 hrs)

Text Book:


Reference Books:



2012.





Total - 100 marks.


19MAT105 Mathematics for Intelligent Systems 1 (1 2 0 - 3

Course Objectives

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

for subsequent study. It will explore the concepts initially through computational experiments and then try to understand the

concepts/theory behind it. 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

Syllabus

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.

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

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

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

Multivariate calculus, Taylor series, Introduction to Optimization.

Introduction to Probability Distributions and Monte Carlo Simulations.

Text Books / References

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

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


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

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19MAT117 Mathematics for Intelligent System 2 (1 2 0 - 3

Course Objectives

The course will lay down the basic concepts and techniques of linear algebras applied to signal processing. It will explore

the concepts initially through computational experiments and then try to understand the concepts/theory behind it. 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 as applied to signal

processing.

CO2 To provide an appreciation 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.

Syllabus

Gaussian elimination, LU decomposition. Vector Spaces , Bases, Orthogonal bases Infinite dimensional vector spaces

Fourier Series and Fourier Transform and its properties Convolution Vector spaces associated with Matrices Projection

matrices and its properties Cayley Hamilton theorem Diagonalizability of matrices Eigenvalues and Eigenvectors of

Symmetric matrices Eigenvalues and Eigen vectors of ATA, AAT Relationship between vector spaces associated with A, ATA,

AAT. Formulation of ordinary differential equation with constant coefficients in various engineering domains, Converting

higher order into first order equations Numerical solution with Rungekutta method. Taylor series expansion of

multivariate functions, conditions for maxima , minima and saddle points, Concept of gradient and hessian matrices

Multivariate regression and regularized regression , Newton methods for optimization, Signal processing with regularized

regression. Random variables and distributions, Expectation, variance , moments cumulants, Sampling from univariate


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

distribution- various methods, Concept of Jacobian and its use in finding pdf of functions of Random variables(RVs), box-

muller formula for sampling normal distribution, Concept of correlation and Covariance of two linearly related RVs,

Multivariate Gaussian distribution, Bayes theorem, Introduction to Bayesian estimation process, Markov chain, Markov

decision process.


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

2. William Flannery, “Mathematical Modeling and Computational Calculus”, Vol-1, Berkeley Science Books, 2013.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19MEE100 Engineering Graphics - CAD 2-0-3-3

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

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.

Keywords: Coordinate system, Orthographic projections, Isometric projections, Building drawings

Total Hours: 75

Note:

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

2. First angle projection to be followed

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

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

1

PO1

2

PSO1 PSO2 PSO3

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

TEXTBOOK:

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

REFERENCES:

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

House , 2010

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

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

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

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

Course Evaluation

CIA– Sketch Book Evaluation : 20%

CIA- Lab session Assessment : 40%

Mid-Term Examination : 20%

End Semester Examination : 20%

19MEE111 ENGINEERING MECHANICS 3-1-0-4

Course Objectives

This course is expected to enable the student to:

Understand the force systems and draw free body diagram to analyze rigid body equilibrium

Comprehend the principles of Coloum b friction and solve engineering mechanics problems associated with

frictional forces.

Compute the centroid, first moment and second moment of an area

Understand the concept of motion of particles and rigid bodies.

Course Outcomes

At the end of the course, the student will be able to

CO1 Determine rectangular components of a force

CO2 Obtain the equivalent force - couple system of a given system

CO3 Analyze the equilibrium state of a particle and rigid body

CO4 Estimate the moment of inertia of composite area about centroidal or any arbitrary axis

CO5 Determine the velocity and acceleration of a particle in rectangular and cylindrical coordinate systems and

angular velocity of rigid bodies in general plane motion.

Total Hours: 60

Unit 1

Principles of statics: Introduction to vector approach – free body diagrams- forces in a plane – forces in space – concurrent

forces – resolution of forces – equilibrium of particles

Statics of rigid bodies in two and three dimensions: Moment of force about a point – moment of force about an axis –

moment of a couple – equivalent force couple system – rigid body equilibrium – support reactions.

Unit 2

Application of statics: Friction – ladder friction – wedge friction – analysis of trusses – method of joints and method of

sections.

Centroid and center of gravity: centroid of lines, areas and volumes – composite bodies. Second moment of area – polar

moment of inertia – mass moment of inertia – radius of gyration.

Method of virtual work for static equilibrium problems.

Unit 3

Dynamics of particles: kinematics of particles – rectilinear motion – relative motion – relative motion – position, velocity

and acceleration calculation in cylindrical coordinates.

Dynamics of rigid bodies: General plane motion – translation and rotation of rigid bodies – Chasle’s theorem – velocity and

acceleration calculation in moving frames – Corioil’s acceleration.

TEXTBOOKS:

3. Beer,F.P. &Johnston,E.R., “Vector Mechanics for Engineers-Statics and Dynamics”, 11/e, McGraw Hill

International Book Co., 2017

REFERENCES:

1. Hibbeler, R.C., “Engineering Mechanics- Statics and Dynamics”, 14/e, Pearson Education Pvt. Ltd., 2017

2. J.L. Meriam and L.G. Kraige, “Engineering Mechanics - Statics”, 7/e, John Wiley & sons, 2013

3. J.L. Meriam and L.G. Kraige, “Engineering Mechanics - Dynamics”, 7/e, John Wiley & sons, 2013

4. Shames,I.H, “Engineering Mechanics-Statics and Dynamics”, 4/e, Prentice-Hall of India Pvt. Ltd., 2005

19MEE181 MANUFACTURING PRACTICE 0-0-3-1

Course Objectives:

To introduce basic conceptspertaining to product dismantling and assembly

Tofamiliarizebasic 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:

At the end of the course, the student will be able to:

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

1. 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.

2. 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.

3. 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.

4. 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

19MEE101 ENGINEERING DRAWING 2-0-3-3

(For Civil and Mechanical Engg branches)

Course Objectives The course is expected to enable the students

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.

Keywords: Conic sections, Orthographic projections, Isometric projections, Building drawing

Total Hours: 75

Note:

1. Manual practice of drawing to be followed

2. First angle projection to be followed

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.

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/P

O

PO

1

PO

2

PO

3

PO

4

PO

5

PO

6

PO

7

PO

8

PO

9

PO1

0

PO1

1

PO1

2

PSO

1

PSO

2

PSO

3

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

TEXTBOOK:

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

REFERENCES:

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

, 2010

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

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

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

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

Course Evaluation

CIA– Sketch Book evaluation : 20%

CIA- Lab session assessment : 40%

Mid-Term Examination : 20%

End Semester Examination : 20%

19MEE182 COMPUTER AIDED DRAFTING 0-0-3-1

Course Objectives

Demonstrate the importance of Computer Aided Drafting packages for industry practice

Introduce standards and codes to produce engineering drawings

Understand and interpret the engineering drawings

Provide hands on training to become proficient with 2D Computer Aided drafting of simple machine elements /

assemblies

Course Outcomes

Appreciate the standard drawing codes and practices which is required for producing engineering drawings

Construct accurate 2D geometry as per the dimensions following standard drawing practices with proper

dimensioning using Computer Aided drafting software

Create 2D representations of 3D objects as plan view, elevations, side views and sections / auxiliary views using

Computer Aided drafting software

Develop isometric drawings using orthographic views using Computer Aided drafting software

Syllabus

Drawing Standards - Introduction to CAD software – CAD user interface – Data input modes - Coordinate systems - Units

and precision – Setting Limits and display units – Drawing templates - Features of GUI. Sketching basic geometric entities.

Sketching simple geometric entities: points, lines, circles, arcs, ellipse, rectangle, polygons, polylines, splines – Use of object

snaps - Practice exercises using simple geometric entities.

Modifying drawings: Move, copy, rotate and offset drawings; Mirroring, Scaling, Trim, extend, erase, explode - Fillet and

chamfering – Rectangular, Polar and Path array - Drawing exercise: Sketching and modifying 2D drawings.

Drawing properties: Line type, Line weight, Object properties – Hatch and gradient – Working with Layers - Dimensioning

and annotations – Adding tolerance to dimensions – Working with text and tables – Sketching with blocks and groups - Use

of attributes – Working with external references – Layout, printing and publishing drawings - Exercise involving sketching

2D orthographic views of 3D geometries with dimensions and tolerances.

Introduction to 3D - Isometric drafting - Conversion of orthographic projections of simple components into isometric views.

Project: Students have to complete a project involving creating orthographic views of the simple machine elements /

assemblies such as centrifugal pumps, hydraulic cylinders, gear boxes etc. with dimensions following standard drawing

practices using CAD software.

Text / Reference:

1. James D Bethune, “Engineering Graphics with AutoCAD 2017”, Pearson Education, 2018.

2. Gopalakrishna, K.R., and SudheerGopalakrishna “Computer Aided Engineering Drawing”, Subhas Publications,

2015.

3. AUTO-CAD manual (In-House)

19MEE112 Basic Mechanical Engineering 3-0-0-3

Unit 1 Introduction: Introduction to Thermodynamics - Concept of a System – Types of Systems, Thermodynamic

Equilibrium, Properties, State, Process and Cycle, Zeroth Law, Energy Interactions - Heat and Work, Types of Work, Work

interactions in a closed System for various processes

First and Second Laws of Thermodynamics: First Law: Cycle and Process, Specific Heats, Heat interactions in a Closed

System for various processes, Second Law: Kelvin-Planck and Clausius Statements, Concept of Heat Engine and Reversed

H.E. Efficiency/COP, Carnot Cycle, Carnot Efficiency, Property of Entropy, T-S and P-V Diagrams

Unit 2 Internal Combustion Engines and Refrigeration: IC Engines: 2 - Stroke and 4 - Stroke Engines, S.I. Engine and C.I.

Engine: Differences, P-V and T-S Diagrams Refrigeration and Air Conditioning Systems: Principle and working of standard

vapor compression refrigeration system and Brief description of Refrigerants, Types of air conditioning systems,

Psychrometry, Ratings, Impact on environment

Unit 3 Engineering Materials: Classification, Properties of MaterialsManufacturing Processes: Metal Casting, Moulding,

Patterns Metal Working: Hot Working and Cold Working, Metal Forming: Extrusion, Forging, Rolling, Drawing Metal

Joining Processes: Arc welding processes, Soldering and Brazing Introduction to Machine Tools and Machining Processes:

Principles of metal cutting, Cutting tools, Cutting tool materials and applications. Introduction to machining operations –

Turning, Drilling, Shaping and Milling

Text Books:

1. Cengel Y. A. & Boles M. A.,“Thermodynamics - an Engineering Approach”, 8/e, Tata McGraw hill, 2016

2. Ghosh A. and Mallik A. S. - ‘Manufacturing Science’ - Affiliated East West Press Private Limited – 2010

19PHY101 Engineering Physics - A 2 1 0 3

(Common to EEE, ELC and CSE branches)

Course Outcomes:

The student at the end of the course will

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

Course Articulation Matrix:


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

Program Articulation Matrix:


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

Unit I: Electrostatics, Magnetostatics and Electrodynamics (12 hours)

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 II: Waves and Optics (9 hours)

Huygens’ Principle, superposition of waves and interference of light by wavefront splitting and amplitude splitting, Young’s

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

Fraunhofer diffraction from single slit and circular aperture, Rayleigh criterion forlimit 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 andquarter wave plates.

Unit III: Lasers (6 hours)

Einstein’s theory of matter radiation interaction andAandBcoefficients; amplification of light by population inversion,

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

Unit IV: Quantum Mechanics (10 hours)

De Broglie waves, wave functions, wave equation, Schrodingerwave equation: time dependent and time independent form,

operators – Eigenfunctions and Eigenvalues, uncertaintyprinciple, particle in a finite potential one -dimensional box,

tunnelling effect (Qualitative).

Unit V: Introduction to Solids (8 hours)

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:

3. David J Griffiths “Introduction to Electrodynamics” , 4th Edition , Pearson, 2015.

4. Ajay Ghatak, “Optics”, 6th Edition, McGraw Hill Education India Private Limited,

2017.

5. Eugene Hecht, A R Ganesan, “Optics”, 4th Edition, Pearson Education, 2008.

6. Arthur Beiser, ShobhitMahajan, S. RaiChoudhury“Concepts of Modern Physics”,

McGraw Hill Education India Private Limited, 2017.

7. Charles Kittel, “Introduction to Solid State Physics” 8th Edition, Wiley, 2012.

Reference Books:

4. Halliday, Resnick, Jearl Walker, “Principles of Physics”, 10th Edition, Wiley,2015.

5. John David Jackson, “Classical Electrodynamics”,3rd Edition, Wiley,2007.

6. F A Jenkins, H E White, “Fundamental of Optics”, 4thEdition,McGraw Hill

Education India Private Limited, 2017.

7. David J Griffiths, “Introduction to Quantum Mechanics”,2nd Edition, PearsonEducation,2015.

5. M A Wahab, “Solid State Physics”, 3rd Edition, Narosa Publishing House Pvt. Ltd.,2015.

19PHY181 Engineering Physics Lab - A 0 0 3 1

(Common to EEE, ELC and CSEbranches)

Course Outcomes:

The student at the end of the course will be able to:

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



CO1 1 2 2

CO2 1 2 1

CO3 2 2 1

CO4 1 3 1



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.

19PHY102 Engineering Physics - B 2 1 0 3

(Common to Aerospace, Civil, Mechanical and Chemical Enggbranches)

Course outcomes:

The student at the end of the course will

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.


PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO 12

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


PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO 12

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

Unit I: Mechanics (12 hours)

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 II: Waves and Optics (9 hours)

Huygens’ Principle, superposition of waves and interference of light by wavefront 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.

Unit III: Lasers (6 hours)

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 IV: Quantum Mechanics (10 hours)

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 V: Introduction to Solids (8 hours)

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:

1. Halliday, Resnick, Jearl Walker, “Principles of Physics”, 10th Edition, Wiley,2015.

2. Ajay Ghatak, “Optics”, 6th Edition, McGraw Hill Education India Private Limited,

2017.

3. Eugene Hecht, A R Ganesan, “Optics”, 4th Edition, Pearson Education, 2008.

4. Arthur Beiser, ShobhitMahajan, S RaiChoudhury“Concepts of Modern Physics”,

McGraw Hill Education India Private Limited, 2017.

5. Charles Kittel, “Introduction to Solid State Physics” 8th Edition, Wiley, 2012.

Reference Books:

1. David Kleppner, Robert Kolenkow, “An Introduction to Mechanics”, 1st Edition,

McGraw Hill Education, 2017.

2. F A Jenkins, H E White, “Fundamental of Optics”, 4thEdition,McGraw Hill

Education India Private Limited, 2017.

3. David J Griffiths, “Introduction to Quantum Mechanics”,2nd Edition, Pearson Education,2015

4. M AWahab, “Solid State Physics”, 3rd Edition, Narosa Publishing House Pvt. Ltd., 2015.

19PHY182 Engineering Physics Lab - B 0 0 3 1

(Common to Aesrospace, Civil, Mechanical and Chemical Engg branches)

Course Outcomes:

The student at the end of the course will be able to:

CO1 Prepare 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



CO1 1 2 2

CO2 1 2 1

CO3 2 2 1

CO4 1 3 1



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.

19PHY103 Physics of Electronic Materials 3 0 0 3

(For ECE, CCE and EAC Branches)

Course Outcomes:

The student at the end of the course will have the:

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



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

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

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

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



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

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

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

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

Unit I: Crystal Structure of Solids (6 hours)

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

Unit II: Elementary Quantum Physics, Conductors (12 hours)

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

lasers.Conductors:Drudemodel, temperature dependence of resistivity, skin effect, AC conductivity, metal films, thin metal

films, interconnects in microelectronics, electromigration.

Unit III: Semiconductors, Dielectrics (15 hours)

Classification of semiconductors, doping,temperaturedependence,minority carriers and recombination,diffusion and

conduction equations,continuityequation,optical absorption, piezoresistivity.Dielectric materials:

Polarization,polarizationmechanisms,dielectric breakdown in solids,capacitors and their construction,piezoelectricity,ohmic

and non ohmiccontacts.

Unit IV: Magnetic Properties of Materials, Superconductors (6 hours)

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

Unit V: Optical Properties (6 hours)

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

electro optic effects.


1. S O Kasap, “Principles of Electronic Materials and Devices”, 4thEdition, McGraw Hill Education, 2018.

2. LSolymar, D Walsh and R R A Syms, “Electrical Properties of Materials”, 9thEdition, Oxford University Press,

2014.

3. Rolf. E Hummel, “Electronic Properties of Materials”, 4thEdition, Springer, 2012.

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

19PHY104 Computational Engineering Mechanics 1 1 2 0 – 3

Course Objectives

The course will lay down the basic concepts and techniques of engineering mechanics needed for verticals such as robotics.

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 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.

Syllabus

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

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

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


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

Hill, New York, 2004.

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

New York, 2018.

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

International Publishing, 2015.

4. Elementary Mechanics Using Python – Malthe&Sorenssen – Undetrgraduate Lecture Notes in Physics, Springer


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

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

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

8. Hibbeler R. C., Engineering Mechanics: Statics and Dynamics, 11th edition, Pearson Education India, 2017.

Evaluation Pattern

Internal – 75%



External – 25%

Project – 25%

19PHY113 Computational Engineering Mechanics 2 1 2 0 - 3

Course Objectives

The course will lay down the basic concepts and techniques of kinetics and kinematics needed for verticals such as robotics.

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 kinetics and

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



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

Course Outcomes

CO1 To develop a basic understanding of the principles in kinematics and kinetics.

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

problems in kinematics and kinetics as applied to robotics.

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


Syllabus

Review of 2D & 3D translation and rotation - Kinetics of rigid bodies-translation and rotation motion of a rigid body.

Kinematics & Dynamics definition – Definition of a linkage, mechanism and a machine – planar mechanisms- Kinematic

pairs – Kinematic chains – Velocity analysis of planar and spatial mechanisms – Acceleration analysis of planar and spatial

mechanisms – Analytical and Graphical methods for acceleration and velocity analysis – Kinetics and Kinematics of Robots.

Text Books/References

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

Hill, New York, 2004.

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

New York, 2018.

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


4. Elementary Mechanics Using Python – Malthe&Sorenssen – Undetrgraduate Lecture Notes in Physics, Springer


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

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

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

8. Hibbeler R. C., Engineering Mechanics: Statics and Dynamics, 11th edition, Pearson Education India, 2017.

Evaluation Pattern

Internal – 75%



External – 25%


CO1 3 3 2 2 3 3 2 3 3

CO2 3 3 3 3 3 3 2 3 3

CO3 3 2 3 3 3 3 2 3 3

CO4 3 3 3 2 3 3 2 3 3

Project – 25%

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