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Applied Digital Information Theory I
Last Updated: 2026-02-05 15:25:12
Abstract
This course covers the basic concepts of information theory and of communication theory. Topics covered include the entropy rate of a source, mutual information, typical sequences, the asymptotic equi-partition property, Huffman coding, channel capacity, the channel coding theorem, the source-channel separation theorem, and feedback capacity.
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 (second edition)
General Information
- Language
- English
- Levels
- BSC , DS , DR , MSC , WBZ
- 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 |
Offered In
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Application Area (only necessary for the Master degree in Applied Mathematics)
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Communication (A total of 42 CP must be achieved during the Master Program. The individual study plan is subject to the tutor's approval.)
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Core Subjects (These core subjects are particularly recommended for the field of "Communications".)
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