EE/Ma/CS/IDS 136

Information Theory and Applications

9 units (3-0-6)    |  third term
Prerequisites: EE 55 or equivalent.

This class introduces information measures such as entropy, information divergence, mutual information, information density, and discusses the relations of those quantities to problems in data compression and transmission, statistical inference, and control. The course does not require a prior exposure to information theory; it is complementary to EE 126 a.

Instructor: Kostina

Please Note

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