You are here: Home → Research and PhD → Intelligent Systems

Intelligent Systems

In an increasingly competitive world, computers are no longer seen as simple calculators, but as the central means to deliver intelligent services in business, society and private life. From stock market prediction to intelligent factory control, from product recommendation to strategic company planning, from property surveillance to autonomous lawnmowers: Intelligent systems that can analyze digital information and sensory data, draw the right conclusions, and act on them in the digital or physical world are of rapidly growing importance.

With more and more data available for analysis and decision making - from web documents and digital media to sensory data from cameras, microphones, and ubiquitous devices - intelligent services and support systems of an entirely new kind can be created, and autonomous agents and personal robots are on the horizon. Based on the algorithmic, technical and engineering principles of computer science, intelligent systems have created a highly dynamic market and offer exciting opportunities for research.

The Intelligent Systems track within our MSc program lets students master the principles of the area and leads them to today's most important topics in research and practice. The two introductory courses highlight the two facets of intelligent systems: “Intelligent Learning and Analysis Systems” focuses on a system's ability to intelligently analyze large amounts of data, while “Theory of Sensorimotor Systems” is concerned with intelligent systems that act in a physical world. From there on, students can specialize in courses covering areas such as machine learning, knowledge discovery, artificial intelligence, pattern recognition, neural computation, autonomous robots and their technical foundations.

Research Groups

Strong research groups conduct outstanding fundamental and applied research projects in the areas of

Document Actions