Course for international guest/part time students
- Faculty
- Faculty of Science
- Organization
- TTK Department of Probability Theory and Statistics
- Code
- bevinf1u0um17em
- Title
- Introduction to information theory (l)
- Usual semester
- Spring
- Published semester
- 2025/26/2
- ECTS
- 3
- Language
- en
- Learning outcomes
- Knowledge: getting familiar with the modern notions of information theory Ability: to understand and use information theory Attitude: the need to extend the mathematical knowledge, to gain new analytic and applied programming skills Autonomy and Responsibility: based on the gained knowledge in information theory, the students are able to decide which tools are the most suitable to solve applied problems
- Course content
- Source coding with variable length and block codes. Entropy and its formal properties. I-divergence and its formal properties. Typical series. The concept of a noisy channel, channel coding theorems. Channel capacity and its calculation methods. Source and channel coding with linear codes. Multi-user communication systems: unique coding of correlated sources. The channel with additive Gaussian noise.
- Assessment method
- exam