Lecturer: V Naicker 

Prerequisites:

Calculus, Basic Statistics

Description:

The mathematical theory of information channels and source encoding is found in a myriad of different areas in math and applied math and computer science. The basic building blocks are probabilistic in nature and apply to any area where there are sources, signal and noisy information.

Syllabus:

Entropy, coding, data compression, Shannon's coding theorems, the Asymptotic Equipartition property, channel capacity

Textbook:

Cover and Thomas, Elements of information theory, Wiley and Sons

Last Modified: Tue, 10 Dec 2013 10:35:42 SAST