Statistics@MIT
6.441 -- Information Theory
Course Description: Introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Mathematical definition and properties of information and its operational meanings. Basics of large deviations and its use in information theory, coding theory, and statistics. Source coding theorem and noisy channel coding theorem; error exponents; the source-channel separation theorem; multiple access channels, broadcast channels. Readings from the literature in these topics.

This class is at the Graduate level
Course Website: http://theory.csail.mit.edu/~madhu/ST06
Instructor: M. Medard, L. Zheng
Prerequisites: 6.041

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