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

Prof. Adrish Banerjee 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 is a recipient of Microsoft Research India young faculty award, Institute of Engineers India young engineer award, and IETE Prof. K. Sreenivasan memorial award. His research interests are in the physical layer aspects of wireless communications, particularly green communications, error control coding, and cognitive radio.


Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Nov 2020
  View Course
 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 19-Dec-2020

Enrolled

6994

Registered

116

Certificate Eligible

56

Certified Category Count

Gold

0

Silver

1

Elite

12

Successfully completed

43

Participation

49

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

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

JAYASEELAN J 75%

ST.JOSEPHS COLLEGE OF ENGINEERING

R ANIRUDH 73%

C-DOT

SRIJAN KUMAR 70%

Government Polytechnic Kanker

SIVARAJAN R 68%

Adhiparasakthi Engineering College

POOJA SAHOO 67%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

Enrollment Statistics

Total Enrollment: 6994

Registration Statistics

Total Registration : 116

Assignment Statistics



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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.