Lecture Slides
- First Lecture (in German)
- Introduction
- Introduction Stochastic (updated April 10)
- Basics of Information Theory
- Source Coding Theorem
- Typical Sequences
- Source Coding (updated May 4)
- 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
Former German Skript
Exercise Sheets
- Excercise sheet 1 (April 27 | Solution)
- Excercise sheet 2 (May 4 | Solution)
- Excercise sheet 3 (May 11 | Solution)
- Excercise sheet 4 (May 18, June 1 | Solution Part 1 (May 18), Solution Part 2 (June 1))
- Excercise sheet 5 (June 1 | Solution)
- Excercise sheet 6 (June 8 | Solution)
- Excercise sheet 7 (June 15 | Solution)
- Excercise sheet 8 (June 22 | Solution)
- Excercise sheet 9 (June 29 | Solution)
- Excercise sheet 10 (July 6 | Solution)
- Excercise sheet 11 (July 13 | Solution)
Labs
- Lab 1: Lempel-Ziv Coding ( Tasks | Source Files)
- Lab 2: Mutual Information of Finite Alphabets (Tasks | Source Files)