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
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.
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Teaching Assistant(s)
Course Duration : Jul-Sep 2017
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Syllabus
Enrollment : 17-May-2017 to 24-Jul-2017
Exam registration : 02-Aug-2017 to 23-Aug-2017
Exam Date : 24-Sep-2017
Enrolled
1739
Registered
Certificate Eligible
12
Certified Category Count
Gold
0
Elite
2
Successfully completed
10
Participation
11
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : 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.
Enrollment Statistics
Total Enrollment: 1739
Registration Statistics
Total Registration : 30
Assignment Statistics
Exam score
Final score