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ECE205

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ECE 205 - Information Theory

Full Course Title

Information Theory

Instructor Name(s)

Rose

Course Description

Entropy, mutual information, and Shannon's coding theorems; lossless source coding, Huffman, Shannon-Fano-Elias, and arithmetic codes; channel capacity; rate-distortion theory, and lossy source coding; source-channel coding; algorithmic complexity and information; applications of information theory in various fields.

Unit Value

4

Maximum number of times course can be repeated for additional credit

99

Maximum Units

99

Prerequisites

ECE 139, or PSTAT 120A-B or equivalent.

Advisory Enrollment Comments

Same course as Computer Science 225.