Course Name: An Introduction to Information Theory

Course abstract

Information Theory answers two fundamental questions: what is the maximum data rate at which we can transmit over a communication link, and what is the fundamental limit of data compression. In this course we will explore answers to these two questions. We will study some practice source compression algorithms. We will also study how to compute channel capacity of simple channels.


Course Instructor

Media Object

Dr. 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)

JAVED AKHTAR

Ph.D. Scholar (Signal Processing, Communication & Networks),
Dept. of Electrical Engineering

KALPANT PATHAK

Dept. of EE,
pursuing Ph.D. in Signal Processing, Communications and Networking

IIT Kanpur

 Course Duration : Jul-Sep 2016
  View Course
 Syllabus
 Enrollment : 23-May-2016 to 18-Jul-2016
 Exam registration : 02-Aug-2016 to 19-Aug-2016
 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

1615

Registered

54

Certificate Eligible

2

Certified Category Count

Gold

0

Elite

0

Successfully completed

0

Participation

43

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 Information Theory - Toppers list

KRISHNA KUMAR P 77%

SHRI MADHWA VADIRAJA INSTITUTE OF TECHNOLOGY AND MANAGEMENT

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.