Archived Versions

6.441 Information Theory

As taught in: Spring 2010

An image showing a series of ones and zeros.

Binary digits are the individual pieces of data that are used to represent information. (Image by MIT OpenCourseWare.)

Level:

Graduate

Instructors:

Prof. Muriel Médard

Course Features

Course Description

6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, noisy communication channels, channel coding theorem, the source channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.