Information Theory

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.)

Instructor(s)

MIT Course Number

6.441

As Taught In

Spring 2010

Level

Graduate

Cite This Course

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.

Other OCW Versions

Archived versions: Question_avt logo

Médard, Muriel. 6.441 Information Theory, Spring 2010. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-441-information-theory-spring-2010 (Accessed). License: Creative Commons BY-NC-SA


For more information about using these materials and the Creative Commons license, see our Terms of Use.


Close