Spring 2016 Course Descriptions

COMP 150-04 Information Theory

S. Aeron
TR 3:00-4:15, Anderson Hall 210
J+ 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.

Back to Main Courses Page