Understanding important concepts and fundamental relations of information theory as well as their application to source coding and channel coding. Improvement of English language skills.

* Fundamentals of information theory:  Entropy, mutual information, typical sequences, fundamental relations and inequalities, interpretations

* Lossless source coding:  Optimal codes, Huffman code, significance of entropy, universal codes, Lempel-Ziv code

* Lossy source coding:  Rate-distortion theory, quantization, rate-distortion function, Shannon's rate-distortion theorem

* Channel coding:  Channel capacity, Shannon's channel coding theorem, Gaussian channel, parallel Gaussian channels, feedback channels, separability of source coding and channel coding

First class: Thursday, October 9, 2014, 3:15 p.m., in Seminar Room 389 (formerly 118) of the Institute of Telecommunications

This course is an optional part of the "Wahlmodul Advanced Digital Communications."

Written exam

Bei der ersten Vorlesung

Lecture notes for this course are available at the "Graphischen Zentrum an der TU Wien", Wiedner Hauptstraße 8 - 10, 1040 Wien (EG, roter Bereich).

Working knowledge of probability theory and random variables