Intelligent systems
Future data systems will incorporate more and more adaptive and intelligent features, and this sub-programme concentrates on developing computational methods for the design of and research on such systems. This field comprises several areas in computer science, such as artificial intelligence, computational intelligence, artificial life, heuristic optimization algorithms and intelligent information-retrieval methods.
The sub-programme for intelligent systems contains many specialised courses. These courses typically call for an analytical mindset as well as good programming and problem-solving skills. Furthermore, studies in the automation of intelligent behaviour are often multidisciplinary in nature. In addition the methodological courses on the three basic concepts of the sub-programme, suitable courses are available from the application areas (such as robotics, pattern matching and data mining) or the introductory courses on artificial intelligence and machine learning. The course ‘Graphical models’ in this sub-programme is mainly aimed at post-graduates.
Research in intelligent systems mainly focuses on the basic problems in modelling and learning, including their application in various fields from engineering to social sciences and medicine. A large part of the research is carried out in co-operation with the Complex Systems Computation Group (CoSCo), which studies theoretical and applied topics in probabilistic and information-theoretical modelling and stochastic search methods. Current research is applied to such areas as user profiling and personalisation, adaptive learning environments, noise-elimination from image signals, location-specific services in wireless networks and next-generation search engines.
Contact person: Professor Petri Myllymäki
Teaching: http://www.cs.helsinki.fi/group/cosco/Teaching
Research: http://cosco.hiit.fi/