Available courses

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%)



Control_system_lab.pdfControl_system_lab.pdf

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


ID1030 Course Syllabus.pdfID1030 Course Syllabus.pdf
Objectives:
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.


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 20th century Europe had witnessed. The course concludes with an overview of such developments like the Existentialism and Postmodernism.


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.


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.

The learning objective of this course is to introduce different methods for solving fluid dynamics problems using a computer. 

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

Life Science course for II nd year B.Tech students

MECHANICAL ENGINEERING LABORATORY 1

Introductory Mechanics for B. Tech First Year Student 

PH1010.pdfPH1010.pdf

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.

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. 

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. 

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.

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

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.

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

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

Syllabus.pdfSyllabus.pdf

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. 

This is a basic course on operating systems offered to Sem 5 CS students.
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

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.

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

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

Objectives and Syllabus attached below.

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

ID1200_ Ecology and Environment_IIT Palakkad_2017_Syllabus.pdfID1200_ Ecology and Environment_IIT Palakkad_2017_Syllabus.pdf

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.


First order analysis of statically determinate and indeterminate structures.

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.


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.


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

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.

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.

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

This course is on Chem lab