Information Theory
6.441 · Electrical Engineering and Computer Science · Graduate · Spring 2016
Prof. Yury Polyanskiy
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.
The syllabus, on MIT OpenCourseWare
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Attribution
Prof. Yury Polyanskiy. 6.441 Information Theory. Spring 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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