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Uedu Open / Information Theory
6.441

Information Theory

Prof. Yury Polyanskiy | Spring 2016
Data Science, Analytics & Computer Technology Computer Science Science & Math Mathematics Engineering Applied Mathematics Computation Probability and Statistics
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CC BY-NC-SA 4.0
Course introduction
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.
Course Information
SourceMIT 開放式課程
DepartmentElectrical Engineering and Computer Science
LanguageEnglish
Number of videos0
Course videos (0)
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