Fall 2019 Course Descriptions

COMP 149-01 Information Theory

S. Aeron
TR 12:00-1:15, Halligan Hall 108
F+ Block

Information theory as a systematic framework to address fundamental laws and limits of data compression and digital communication. Source coding/data compression; information measures on discrete memory-less sources; practical schemes and algorithms for lossless data compression such as Huffman coding, arithmetic coding, Lempel-Ziv Coding; channel coding for reliable communication and rate distortion for lossy source compression. Advanced topics such as information theoretic cryptography.

Prerequisite: Recommendations: Undergraduate Probability OR EE 104 OR Permission of instructor.


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