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Applied Digital Information Theory I
Last Updated: 2026-02-05 14:55:15
Abstract
This course covers the basic concepts of information theory and ofcommunication theory. Topics covered include the entropy rate of asource, mutual information, typical sequences, the asymptoticequi-partition property, Huffman coding, channel capacity, the channelcoding theorem, the source-channel separation theorem, and feedbackcapacity.
Objective
The fundamentals of Information Theory including Shannon's source coding and channel coding theorems
Content
The entropy rate of a source, Typical sequences, the asymptotic equi-partition property, the source coding theorem, Huffman coding, Arithmetic coding, channel capacity, the channel coding theorem, the source-channel separation theorem, feedback capacity
Resources
Literature
T.M. Cover and J. Thomas, Elements of Information Theory.
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Applied Digital Information Theory I |
|
4 h weekly |