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Information Theory (Spring 2016)

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Information Theory
		                               (Spring 2016)

This is a graduate-level introduction to mathematics of information theory. We will cover both classical and modern topics, including information entropy, lossless data compression, binary hypothesis testing, channel coding, and lossy data compression.

Categories: Computer Sciences
Starts : 2016-02-01

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