Lecture Slides
- First Lecture (in German)
- Introduction
- Introduction Stochastic
- Basics of Information Theory
- Source Coding Theorem
- Typical Sequences
- Source Coding
- Arithmetic Coding
- Sources with Memory
- Channel Coding
- Channel Coding Theorem
- Zero Error Capacity
- MAP- and ML-Decoding
- Gaussian Channels
- Gaussian Channels II
- Multi-User Communication
- Multiple-Access Channel
- Diversity
- IT Security
Exercise Sheets
- Sheet 0 ( Exercises | Solutions | Introduction to Probability Theory )
- Sheet 1 ( Exercises | Solutions | Entropy, Mutual Information and Kullback-Leibler Distance )
- Sheet 2 ( Exercises | Solutions | Union Bound and Weak Law of Large Numbers )
- Sheet 3 ( Exercises | Solutions | Source Coding 1 )
- Sheet 4 ( Exercises | Solutions | Source Coding 2 )
- Sheet 5 ( Exercises | Solutions | Markov Sources and Channel Capacities )
- Sheet 6 ( Exercises | Solutions | The Mutual Information Game and Waterfilling )
- Sheet 7 ( Exercises | Solutions | Jointly Typical Sequences and Tomlinson-Harashima Precoding )
- Sheet 8 ( Exercises | Solutions | Multi-User Channels 1 )
- Sheet 9 ( Exercises | Solutions | Multi-User Channels 2 )
- Sheet 10 ( Exercises | Solutions | Symmetric Cryptosystems, Perfect Security and One-Time Pad)
Labs
- Lab 1 ( Description | Source Files | Lempel Ziv )
- Lab 2 ( Description | Source Files | Mutual Information of Finite Alphabets )