This seminar is related to the research on design and analysis of computational methods for Adaptive and Intelligent systems. In addition some of the presentations are from multi-disciplinary projects applying Intelligent Systems methodology. The seminar is a research seminar, and assumes basic familiarity with machine learning or Intelligent System research work.
Individual topics are also possible.
As a rule the work is done in groups addressing a particular topic. Each group is expected to produce either a conference quality draft paper on a theoretical topic, an implementation of a particular algorithm, or an experimental study clarifying a problem. The seminar will also have an intensive seminar. Active participation to the seminar activities is required for getting the credit. The main topics for the fall semester are reinforcement learning and affective computing.