Concentration: Cognitive Technical Systems (CTS) resp. Artificial Intelligence (AI)
Description
Research in the field of cognitive technical systems focuses on the development of machines and robots that are able to perceive their environment autonomously and to interact with it like a living being. This field of research includes such areas as artificial intelligence (AI), robotics, machine learning, image processing and computer graphics, natural language processing, and simulation. The University of Freiburg is one of those academic institutions where you can do research in virtually all of these fields .
Participating groups and persons
Mainly the following chairs and groups are involved in the research of these fields:
- Autonomous Intelligent Systems (Prof. Dr. Wolfram Burgard)
- Brain State Decoding Lab (Dr. Michael Tangermann (BrainLinks-BrainTools Research Group Leader))
- Cognitive Computation (apl. Prof. Dr. Marco Ragni (Leader DFG Heisenberg group))
- Computer Graphics (Prof. Dr. Matthias Teschner)
- Computer Vision and Image Processing (Prof. Dr. Thomas Brox)
- Foundations of Artificial Intelligence (Prof. Dr. Bernhard Nebel)
- Image Analysis (apl. Prof. Dr. Olaf Ronneberger)
- Machine Learning (Prof. Dr. Frank Hutter)
- Neurorobotics (Prof. Dr. Joschka Boedecker (Assistant Professor))
- Representation Learning (Prof. Dr. Josif Grabocka (Assistant Professor))
- Robot Learning (Prof. Dr. Abhinav Valada (Assistant Professor))
Studying Cognitive Technical Systems
This is one of three fields in which students of the Master of Science in Computer Science can specialize. The following is a sample curriculum for this field of specialization.
| Type of course | Winter semester | Summer semester |
| Key course (offered each year) | Image Processing and Computer Graphics | Introduction to Artificial Intelligence |
| Core course (offered each year) | Computer Vision I | Introduction to Mobile Robotics |
| Further specialization courses (gernerally every 1 or 2 years) | Simulation in Computer Graphics Reinforcement Learning AI Planning Robot Mapping Knowledge Representation | 3-D Image Analysis Computer Vision II Statistical Pattern Recognition Advanced Computer Graphics Game Theory Constraint Satisfaction Problems Modal Logic |
Additional seminars, lab courses and specialization courses are offered for one term or at irregular intervals. For more information on these courses, please consult the module handbook of the Master of Science in Computer Science.
Professors who teach this subject also have put together several sample curricula for the master's degree program and for the combined bachelor's and master's degree program.