New lecture on media perception and media reception emphasizing the cybernetic neural processes involved. We aim at establishing a link between media theory and media analysis by employing artificial intelligence and machine learning.

• Foundations: Information theory, media theory, mathematical tools, logistics
• Advanced features: symmetry, self-similarity, etc.
• Advanced machine learning: neural nets, boundaries of learning, etc.
• Advanced topics: dynamic systems, measure theory, etc.

New! From winter term 2010 on this lecture is also eligible in the following studies:

• Master Computational Intelligence, Elective cource catalogue Artificial Intelligence
• Master Computer Graphics and Digital Image Processing, Elective cource catalogue Digital Image Processing
• Master Medical Informatics, Elective cource catalogue Computer Simulation, Bio Signal and Image Processing

Pedagogic concept

• Frame of knowledge transfer with lecture block at the beginning an exam at the end of the lecture
• Exploration of lecture contents in a lab project in groups of 2-3 students
• Application of state of the art visualization and seminar methods for enabling student participation during the lecture
• Application of an open forum for knowledge exchange over groups during the lab course

Oral exam on lecture contents

TISS

List of topics and links in the TUWEL forum