- Teacher: Susy Varughese

## Available courses

- Teacher: E K K Nambiar

**Objectives**

1. Familiarisation with MATLAB and modelling with Simulink

2. Familiarisation with Arduino and interfacing with Simulink

3. Basic control using analog circuits

4. Understanding the basic control of line follower robot

5. Understanding the basic hysterisis control using Arduino and sensing the analog signals

6. Understanding the DC motor parameters and understanding about open loop control

7. Learning about digitization from s-domain to z-domain

**List of Experiments**

1. Introduction to Matlab and Simulink (one class)

2. Introduction to Arduino and interfacing with Simulink (one class)

3. Voltage regulator control using OPAMP (one class)

4. Line follower robot experiment (one class)

5. Temperature control of light bulb using temperature sensor and Arduino (one class)

6. DC motor open loop speed control and estimating machine parameters (one class)

7. Modelling of DC motor in MATLAB and performing closed loop control using P, and PD (three class)

8. Class project i.e., levitation of small object (three class)

**Outcome**

1. Student should be able to do modelling with Simulink

2. Students should be able to program Arduino using Simulink

3. Students should learn OPAMP based control circuit design

4. Students should be able to control the robot using Arduino

5. Students should be able to characteristize the model of light bulb and control using Arduino

6. Student should learn about open loop control and advantages and disadvantages

7. Knowing about various forms of closed loop control, stability, system performance etc.

**Evaluation**

1. Lab Experiments (20%)

2. Lab report every week (20%)

3. Project (20%)

3. Final Exam (40%)

- Teacher: Swaroop Sahoo

This course aims at providing students a well-informed exposure to the scope of engineering in general and their respective branches in particular.

At the end of the course,** **the students
should be able to

(i)** **comprehend
and recognize the scope of various branches of
engineering

(ii) relate to the breadth of their specific discipline of engineering

(iii) develop appreciation of interdisciplinary nature of engineering profession

- Teacher: Arvind Ajoy
- Teacher: Jasine Babu
- Teacher: Anil Kumar
- Teacher: Pramod S Mehta
- Teacher: Deepak Rajendraprasad

- Teacher: Debarati Chatterjee
- Teacher: Dinesh Jagadeesan
- Teacher: Sebastian KL

This course shall introduce the fundamentals of modeling and control of linear time invariant systems; primarily from the

classical viewpoint of Laplace transforms and a brief emphasis on the state space formulation as well. The course will be

useful for students from major streams of engineering to build foundations of time/frequency analysis of systems as well

as the feedback control of such systems.

Course Contents:

1. Open-loop and closed-loop systems: Mathematical Models for Physical Systems:

Electrical circuits, dc generator and motors, Mechanical systems, computational systems. Linearization of nonlinear

systems. Transfer function representation.

2. Transient Response: Typical inputs; Time-domain specifications; Steady state

errors; error series, system error and Non-unity feedback systems.

3. Concept of stability; necessary and sufficient conditions for stability; BIBO stability,

Routh-Hurwitz criterion; Root locus plots, relative stability.

4. Frequency response; Bode plots; Frequency domain specifications: Gain Margin

and phase Margin; Nyquist plot: Nyquist stability criterion;

5. Controller Design: basics of the proportional, derivative and integral actions, lead lag compensators: via root locus and

frequency domain methods.

6. State-variable representation of systems: Solution of state equations, stability,

controllability and observability, pole placement.

Text Books:

Modern Control Engineering, 5th Edition, by Katsuhiko Ogata.

Reference Books:

1. Farid Golnaraghi and Benjamin C Kuo, Automatic Control Systems, 9th Edition, John Wiley and Sons

2. I. J. Nagrath and M. Gopal, Control Systems Engineering, 4th Ed., New age international publishers.

3. D’Azzo and Houpis, Feedback Control Systems, Analysis and Synthesis, 1988

4. Richard M. Murray and Karl J. Astrom, Feedback Systems: An introduction for

Scientists and Engineers, Princeton University Press, 2010.

- Teacher: Asish Chandran
- Teacher: Ramkrishna Pasumarthy

This course is offered to the Undergraduate Students as a seminar course and introduces the historical development of European philosophical tradition under forty topics by focusing some seminal contributions of ancient, modern and contemporary thinkers. The course begins with a brief outline of the philosophies of the Greek thinkers, which mark the beginning of Western philosophical tradition. After a brief discussion of the pre-Socratic thinkers, who are known as the ‘cosmologists’ or ‘natural philosophers’, it will examine the philosophies of the Sophists, Socrates, Plato and Aristotle. The course will then address the major conceptual developments happened during the modern age which was characterized by its scientific temperament and rational acumen. After discussing the major epistemological developments initiated by the rationalists and the empiricists and Immanuel Kant’s reconciliation of the clash between them, this course will examine the important contributions of philosophers like Hegel, Marx and Nietzsche and tries to understand how such developments lead to the unique philosophical contributions 20^{th} century Europe had witnessed. The course concludes with an overview of such developments like the Existentialism and Postmodernism.

- Teacher: Anoop George

Transportation refers to the
activity that facilitates physical movement of goods as well as individuals
from one place to another. It plays a major role in the economic, industrial,
social and cultural development of any region. Transportation Engineering, as
defined by the Institute of Transportation Engineers (ITE), is the application
of scientific principles and technology to the planning, functional design, operation
and management of facilities of any modes of transportation in order to provide
for the safe, efficient, rapid, comfortable, convenient, economical and
environmentally compatible movement of people and goods. Various modes of
transportation include roads, railways, airways, waterways and pipelines.

This course is limited to Highway Engineering and focuses on planning, design, construction, maintenance and operation of road transport facilities. The course is arranged into four divisions, namely, Transportation Planning, Pavement Engineering, Geometric design, and Traffic Engineering.

- Teacher: Ranju Mohan

Fundamental Course on Electric Circuits, Circuit elements, Circuit Analysis for steady-state and transients, Sinusoidal Response, Step Response, Linear and second order circuits, Three-phase systems

Introduction to Magnetic Circuits, analogy to electric circuits, magnetic components.

- Teacher: Suresh M

- Teacher: Sunil Kumar Arolla

1.Matrix method of structural analysis (Conventional stiffness, Reduced stiffness & Flexibility) using truss, beam and frame elements

2. Introduction to geometrical non-linear analysis

3. Introduction to plastic analysis

- Teacher: Anil Kumar

- Teacher: Balakumar GP
- Teacher: CR Jayanarayanan
- Teacher: Lakshmi Sankar

Life Science course for II ^{nd} year B.Tech students

- Teacher: Smitha SG

MECHANICAL ENGINEERING LABORATORY 1

- Teacher: Dupadu Chakradhar
- Teacher: TK Kumar
- Teacher: Krishna Seshagiri
- Teacher: Vara Naga Surendra Kamadi

- Teacher: Milind Brahme

Introductory Mechanics for B. Tech First Year Student

- Teacher: Jayakumar Balakrishnan
- Teacher: Uma Divakaran

- Teacher: Madhu Karthik
- Teacher: Anil Kumar
- Teacher: Divya PV
- Teacher: Sudheesh TK

This is
a first course on heat and mass transfer and the students are expected to learn
the basics of this subject and demonstrate ability to use calculate the heat
and mass transfer effects in simple systems.

- Teacher: Krishna Seshagiri

- Teacher: Sudheesh TK

This is a basic course on solid-state devices. The aim of this course is to introduce students to the electronic properties of semiconductors and semiconductor devices.

- Teacher: Revathy Padmanabhan

- Teacher: Arun Rahul S

This course is a follow up to the Analog Circuits (Theory) course. The aim of this course is to introduce students to lab work in the area of analog systems.

- Teacher: Arvind Ajoy
- Teacher: Revathy Padmanabhan

This is a basic course on Digital Systems. The aim of this course is to introduce students to various kinds of number systems, elements of boolean algebra, logic gates, realization of boolean functions using logic gates, other combinational circuits, an introduction to various sequential circuits built using flip-flops and latches. The course also includes a parallel track introducing students to hardware description languages.

- Teacher: Arvind Ajoy

Introduction to communication systems, different types of analog and digital modulations, demodulation techniques, performance analysis, and basic information theory.

- Teacher: Lakshmi Narasimhan Theagarajan

This is a basic course in numerical analysis. It is often difficult to find an exact solution to many science and engineering problems. It is for these kinds of problems that a numerical method may generate a good answer. The objective of this course is to make the students familiar with essentials of numerics and its ideas such as interpolation, solutions to linear and nonlinear

equations and numerical differentiation and integration.

- Teacher: Sarath Sasi

This is a companion lab for CS3500, offered to S5 CS students.

- Teacher: Jasine Babu

- Teacher: Arun Rahul S
- Teacher: Lakshmi Narasimhan Theagarajan

Introduction to reinforced concrete structures; basic material properties; basic design concepts; design for flexure; design for shear and torsion; design for compression; design for combined actions; working stress method

- Teacher: Madhu Karthik

Traditional testing is insufficient for software which control safety-critical systems. Model checking is a methodology which employs rigorous methods to verify whether (automata) models of software satisfy properties (specified in certain logics).

In this course, we will study theoretical foundations of model checking.

- Teacher: Srivathsan B

- Teacher: Athira P

- Teacher: Jasine Babu

Content |

Introduction, Fluid Properties, Basic concepts of Fluid Flow; Newton’s law of viscosity, surface Tension Basic equations of fluid statics; Manometers; Hydrostatic forces on submerged surfaces; Buoyancy and stability; |

Stability of bodies |

Eulerian, Lagrangian, total derivative, Analysis of fluid flow through qualitative visualization (streamlines, streaklines, pathlines, timelines) Reynolds Transport Theorem, |

Integral Analysis of Fluid Motion; Mass Conservation |

Momentum Conservation (non-inertial frame, inertial frame) optional: Rotating reference frame Integral angular momentum equation; |

Differential Analysis of Fluid Motion; Conservation of mass, momentum conservation equations ; Derivation of Navier-Stokes equations ; Couette and Poseullie flow solutions Different simplifications of N-S equations in particular Euler’s, Bernoulli’s Equation (steady, unsteady); |

Steady flow energy equation, Static and stagnation pressure, various heads, work |

Dimensional Analysis and Similitude; Buckingham Pi theorem; Various dimensionless groups in fluid-thermal systems; Flow similarity and model testing; |

Approximations to Navier-Stokes; Potential flows, Stokes flows, Boundary-layer flows; |

Internal Viscous Flows: Fully Turbulent flow in a pipe; Head loss in a pipe; Major losses – friction factor, Moody’s chart; Minor losses |

External Flows; pressure and viscous drag; |

Introduction to Compressible flows |

- Teacher: Abhijit Deshpande

The aim of this course is to develop the basic programming abilities of students. By the end of the course, students should be able to (1) code proficiently in C with a coherent coding style,

(2) debug code using a debugger and make it a habit to use one,

(3) be comfortable with basic tools viz. an editor, a debugger, makefiles, etc.,

(4) be able to think in C to the degree required to implement pseudocode.

- Teacher: SAHELY BHADRA
- Teacher: Deepak Rajendraprasad

A course on learning different paradigms of programming, where paradigms refer to the method of organizing programs.

- Teacher: Mrinal Das

The main objective of the course is to introduce student with importance, methodologies, applications of various topics of machine learning.

- Teacher: SAHELY BHADRA

- Teacher: Pramod S Mehta

Objectives and Syllabus attached below.

Course coordinator: Prof. Ajith Kumar, Wildlife Conservation Society & National Centre for Biological Sciences, Bengaluru

- Teacher: Ajith Kumar

- Teacher: Debarati Chatterjee
- Teacher: Govindan Kutty K V
- Teacher: A Padmesh

- Teacher: NaveenaChandran KP

- Teacher: Sudheesh TK

- Teacher: Debarati Chatterjee
- Teacher: Sebastian KL
- Teacher: A Padmesh

This course provides the foundation concepts, which are used for proper understanding of various other courses i.e., telecommunication, microwave engineering, power systems, time harmonic electromagnetics, antenna theory etc. This subject is also used for proper understanding of other fields of science and engineering.

- Faculty: Swaroop Sahoo

- Teacher: CR Jayanarayanan
- Teacher: Lakshmi Sankar

- Teacher: Ratna Kumar Annabattula
- Teacher: Narasimhan Swaminathan

First order analysis of statically determinate and indeterminate structures.

- Teacher: Anil Kumar

- Teacher: Kishore NK

The lab is divided into two parts :

In the first part of the lab, you will be introduced to scientific computation using Python. This part of the lab will be handled by Arvind.

The second part of the lab will deal with the design of Printed Circuit Boards. This part of the lab will be handled by Swaroop. You will also fabricate your PCBs in the chemistry lab.

- Teacher: Arvind Ajoy
- Teacher: Swaroop Sahoo

- Teacher: Madhu Karthik
- Teacher: Deepu P

- Teacher: ShaikhFaruque Ali
- Teacher: Arockia Rajan

- Teacher: Jasine Babu
- Teacher: Shalina Mathew

EE2001 COURSE OUTLINE

1. Introduction to Digital Systems and Boolean Algebra (1week)

2. Logic Minimization and Implementation (2 weeks)

3. Combinational Logic (2 weeks)

4. Sequential Logic (2 weeks)

5. State Machine Design (3 weeks)

In the first half of the course, the students will be trained to do the manual drawings of the building components. They will also be trained for preparing the plan, elevation and section of buildings. In the second half of the course, they will be trained for the use of Autocad and Revit for building drawings.

_{}^{}

- Teacher: Anil Kumar
- Teacher: Divya PV

- Teacher: Lakshmi Sankar

- Teacher: Beeraiah Baire
- Teacher: KK Balasubramanian
- Teacher: Govindan Kutty K V
- Teacher: A Padmesh

Introduction, Fluid properties, Basic concepts of fluid flow; Newton’s law of viscosity, surface tension

Basic equations of fluid statics; Manometers; Hydrostatic forces on submerged surfaces; Buoyancy and stability

Eulerian, Lagrangian, total derivative, Analysis of fluid flow through qualitative visualization (streamlines, streaklines, pathlines, timelines);

Reynolds Transport Theorem, Integral Analysis of Fluid Motion; Mass Conservation, Momentum Conservation, angular momentum equation

Differential Analysis of Fluid Motion; Conservation of mass, momentum conservation equations; Derivation of Navier-Stokes equations

Couette and Poseullie flow solutions

Euler’s equation, Bernoulli’s Equation

Steady flow energy equation, Static and stagnation pressure, various heads, work

Dimensional Analysis and Similitude; Buckingham Pi theorem; dimension-less groups in fluid-thermal systems; Flow similarity and model testing

Potential flows, Stokes flows, Boundary-layer flows;

Internal Viscous Flows: Fully Turbulent flow in a pipe; Head loss in a pipe; Major losses – friction factor, Moody’s chart; Minor losses

External Flows; pressure and viscous drag;

Turbulent flows; Compressible flows

- Teacher: Abhijit Deshpande
- Teacher: Madhu Karthik

This is an introductory course in Economics, discussing the key concepts
in the microeconomic analysis of the behaviour of consumers and firms
in the
market, including the impact of policy decisions, and the macroeconomic
concepts including national income,
employment, savings, investment, monetary system and inflation.

- Teacher: Shalina Mathew

#### EE1101 – Signals and Systems

This course provides the foundation concepts, which are used for proper understanding of various other Electrical Engineering courses i.e., electrical and electronic circuit design, electromagnetics, telecommunication, control system, digital signal processing etc.

- Teacher: Swaroop Sahoo

- Teacher: CR Jayanarayanan

This course introduces students to the theory and practice of circuit analysis.

- Teacher: Arvind Ajoy

This course is on Chem lab

- Teacher: Govindan Kutty K V

- Teacher: Valsakumar M C

- Teacher: Mathews M S