Course

Syllabus

Coverage of Information Theory, General Architecture of Communication Systems, Mathematical Tools for Information Theory, Source and Channel Models, Entropy, Relative Entropy, and Data Compression, Source Coding, Mutual Information, Channel Capacity, Limit Theories in Source Coding, Limit Theories in Channel Coding: Reliability Function, Introduction to Network Information Theory, Error control coding techniques for wireless mobile channels: Block and Convolutional Codes, Turbo Codes and LDPC Codes with iterative decoding algorithms, iterative receivers and their application for wireless communications;  

Course Outcome Statements (CO) 

3-strong, 2-moderate, 1-weak 

1. RaymondW Yeung, “Information Theory and Network Coding”, Springer, 2006.  
2. Thomas M. Cover and Joy A. Thomas, “Elements of Information Theory”, Second Edition, Wiley-Interscience, 2008.  
3. DavidTse and PramodViswanath, “Fundamentals of Wireless Communication”, Cambridge University Press, 2006.  
4. Shu Lin, Daniel J. Costello, “Error Control Coding”, Second Edition, Prentice Hall, 2004.