The course covers information measures, the source and the channel coding theorems, statistical inference ... It expects familiarity with undergraduate-level calculus, probability theory, and linear ...

Probabilistic measure of information. Introduction to compression algorithms including L-Z, MPEG, JPEG, and Huffman encoding. Determination of the information ...

Distributed source coding is a crucial area within information theory that focuses on how to efficiently encode data from multiple sources, particularly in scenarios where these sources may not ...

The award is given to a professor who has shown continued early career excellence via her research and technical contributions to Information Theory and its applications.