This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
EI7431 is a semester module in English language at Master’s level which is offered in winter semester.
This module description is valid from WS 2014/5 to SS 2016.
Content, Learning Outcome and Preconditions
Source coding: Discrete Memoryless Sources, Prefix-Free codes, Shannon-Fano codes, Huffman codes, Tunstall codes, Discrete Stationary Sources, Elias-Willems universal souce coding. Typical sequences and sets. Channel coding: Discrete Memoryless Channnels, Capacity. Relative entropy and additive white Gaussian noise channels.
The course covers the basic concepts of information theory, including entropy and mutual information, lossless data compression for memoryless and stationary sources, and reliable communication over memoryless channels
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
and singular or moved dates
Learning and Teaching Methods
Lectures, tutorials, excercises, individual study.
The students are instructed in an explorative teaching style.
- Problem sheets
- Presentation slides
- Cover, T., Thomas, J.: Elements of Information Theory, Wiley-Interscience; 2nd edition
Description of exams and course work
There is a possibility to take the exam in the following semester.