| Department of Electrical Engineering

B.Tech. in Electronics and Communication Engineering (ECE)

For the award of the Bachelors in Technology in Electronics and Communication in Engineering program, a student admitted to the major must fulfill the following credit requirement of 160 credits.
160

Total Credits

101

Core Credits

16

Major Electives

43

CCC + UWE credits

Core & Elective Courses

Core Courses

Basic Sciences (BS) - 20 credits, Engineering Sciences (ES) - 12 credits, Major Core - 51 credits, Major Project (I) - 6 credits, Major Project (II) - 12 credits

Course code
Title
Credit
CSD101
Introduction to Computing and Programming
4

Prerequisite: NA

Basics of Computer Programming, Introduction to C programming, Data Types, Operators, Control Statements, Functions, Arrays, Pointers, Strings, Formatted I/O, Structures, Unions, Bit Manipulation, File Processing, Brief Introduction to Data Structures.

CSD201
Data Structures
4

Prerequisite: CSD101
Problem solving techniques using programs and design of algorithms and their complexity, Overview of elementary data structures such as Arrays, Stack, Queues, and Linked Lists and advanced data structures such as graphs, trees and hashing. Time and Space Complexities, Lists, Stacks and Queues, Searching and Sorting, Hashing, Basic concepts in Trees, Advanced concepts in Trees, Priority Queues and Graphs.

EED101
Introduction to Electrical Engineering
5

Course description not available.

EED102
Introduction to Semiconductor Devices
3

Course description not available.

EED103
Basics of Electrical & Electronic Circuits
5

Course description not available.

EED201
Signals and Systems
4

Course description not available.

EED202
Circuit Theory
3

Course description not available.

EED203
Electromechanics
4

Course description not available.

EED204
Analog Electronic Circuits
4

Course description not available.

EED205
Communication Engineering
4

Course description not available.

EED206
Digital Electronics
5

Course description not available.

EED207
Electric machines II
3

Course description not available.

EED208
Measurement and Instrumentation
3

Course description not available.

EED209
Electric Machines I
3

Course description not available.

EED301
Electromagnetic Engineering
3

Course description not available.

EED302
Control Systems
4

Course description not available.

EED303
Microprocessors and Microcontrollers
4

Course description not available.

EED304
Communication Networks
4

Course description not available.

EED305
Digital Signal Processing
4

Course description not available.

EED306
Power Electronics
4

Course description not available.

EED307
Power Engineering
4

Course description not available.

EED308
Embedded Systems Hardware
4

Course description not available.

EED309
Recent Trends In Electrical Engineering
2

Course description not available.

EED401
VLSI Technology and Design
4

Course description not available.

EED402
Electric Drives
4

Course description not available.

EED497
Major Project 1
6

Course description not available.

EED498
Major Project 2
12

Course description not available.

MAT201
Mathematical Methods I
4

Course description not available.

MAT203
Mathematical Methods II
4

Course description not available.

MAT205
MATHEMATICAL METHODS III ? Probability and Statistics
3

Core course for B.Tech. except Computer Science. Not available as UWE.

Credits (Lec:Tut:Lab)= 3:0:0 (3 lectures weekly)

Prerequisites: MAT 103 (Mathematical Methods I)

Overview:  Probability is the means by which we model the inherent randomness of natural phenomena. This course introduces you to a range of techniques for understanding randomness and variability, and for understanding relationships between quantities. The concluding portions on Statistics take up the problem of testing our theoretical models against actual data, as well as applying the models to data in order to make decisions.

Detailed Syllabus:

  1. Probability: sample space and events, classical and axiomatic probability, permutations and combinations, conditional probability, independence, Bayes’ formula 
  2. Random Variables: discrete and continuous probability distributions, mean and variance, binomial and Poisson, normal, joint distributions, covariance, correlation and regression (linear) 
  3. Mathematical Statistics: exploring data, random samples, point estimation, Central limit theorem, Maximum likelihood, chi-square, t and F-distributions, confidence intervals, hypothesis testing

References:

  1. Advanced Engineering Mathematics by Erwin Kreyszig, Wiley.
  2. Introduction to Probability and Statistics for Engineers and Scientists by Sheldon Ross, 2nd edition, Harcourt Academic Press.
  3. Theory and Problems of Beginning Statistics by L. J. Stephens, Schaum’s Outline Series, McGraw-Hill
  4. John E. Freund’s Mathematical Statistics with Applications by I. Miller & M. Miller, 7th edition, Pearson, 2011.

Past Instructors: Charu Sharma, Niteesh Sahni, Suma Ghosh

PHY101
Introduction to Physics I
4

This is the first part of a two part introductory course for engineering students and for science students not majoring in physics. The course will introduce students to the fundamentals of mechanics and thermal physics.

PHY102
Introduction to Physics II
5

This is a continuation of PHY 101 meant for engineers and non-physics majors. The course will introduce students to Electricity and Magnetism, Maxwell’s equations, light as an electromagnetic wave, and wave optics.

Elective Courses

Major Elective - 16 credits

Course code
Title
Credit
EED350
Digital Communication
4

Course description not available.

EED351
Semiconductor Devices
3

Course description not available.

EED352
Transmission and Distribution
3

Course description not available.

EED353
Protection And Switchgear
3

Course description not available.

EED354
Microwave Engineering
3

Course description not available.

EED355
Analysis & Control of Special Electrical Machines
3

Course description not available.

EED356
High Voltage Engineering
3

Course description not available.

EED357
Satellite Communication
3

Course description not available.

EED358
Mobile & Wireless Communication
3

Course description not available.

EED359
Digital System Design With FPGAs
4

Course description not available.

EED360
Modern Control
3

Course description not available.

EED361
DESIGN OF ANALOG CMOS CIRCUITS
3

Course description not available.

EED362
GSM, SS7 & IN Signalling Fundamentals
3

Course description not available.

EED363
Applied Machine Learning
3

Course description not available.

EED405
Automotive Electronics
3

Course description not available.

EED406
AUTOSAR
3

Course description not available.