Course Name: An Introduction to Coding Theory

Course abstract

Error control coding is an indispensible part of any digital communication system. In this introductory course, we will discuss theory of linear block codes and convolutional codes, their encoding and decoding techniques as well as their applications in real world scenarios. Starting from simple repetition codes, we will discuss among other codes: Hamming codes, Reed Muller codes, low density parity check codes, and turbo codes. We will also study how from simple codes by concatenation we can build more powerful error correcting codes.


Course Instructor

Media Object

Prof. Adrish Banerjee

Adrish received his Bachelors degree from Indian Institute of Technology, Kharagpur and Masters and Ph.D. degree from University of Notre Dame, Indiana. He is currently an Associate Professor in the Department of Electrical Engineering at Indian Institute of Technology, Kanpur. He has been a visiting faculty to National Yunlin University of Science and Technology, Taiwan and Chung-Ang University, Seoul, South Korea. Under Erasmus- Mundus program he was a visiting faculty in Politecnico di Torino, Italy. He is a recipient of Microsoft Research India young faculty award, and Institute of Engineers India young engineer award. His research interests are in the physical layer aspects of wireless communications, particularly error control coding, cognitive radio and green communications.
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Teaching Assistant(s)

KALPANT PATHAK

Doctor of Philosophy
DEPARTMENT OF ELECTRICAL ENGINEERING
IIT Kanpur

YOGESH DARMWAL

DOCTOR OF PHILOSOPHY
DEPARTMENT OF ELECTRICAL ENGINEERING
IIT KANPUR

 Course Duration : Jan-Mar 2017

  View Course

 Syllabus

 Enrollment : 01-Jan-2017 to 23-Jan-2017

 Exam registration : 30-Jan-2017 to 27-Feb-2017

 Exam Date : 26-Mar-2017

Enrolled

3769

Registered

255

Certificate Eligible

155

Certified Category Count

Gold

1

Elite

29

Successfully completed

125

Participation

71

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
An Introduction to Coding Theory - Toppers list
Top 1 % of Certified Candidates

DWAIPAYAN GHOSH 91%

GOVT. COLLEGE OF ENGINEERING & TEXTILE TECHNOLOGY BERHAMPORE

MANDAR RAVINDRA NALAVADE 83%

MIT ACADEMY OF ENGINEERING


Top 2 % of Certified Candidates

GURINDER SINGH 82%

IITG


Top 5 % of Certified Candidates

RAJ KUMAR MAITY 77%

HALDIA INSTITUTE OF TECHNOLOGY

DERON RAY RODRIGUES 75%

DON BOSCO COLLEGE OF ENGINEERING

KARTHIKEYAN SUGUMARAN 72%

VIT UNIVERSITY CHENNAI

JANASWAMY LALITHA MARKANDEYA SASTRY 71%

UURMI SYSTEMS PVT LTD

ARULKUMAR M 70%

GOVERNMENT COLLEGE OF ENGINEERING

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.