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 basic mathematical skills, 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 (probability, information and decision-making) of the sub-programme, suitable courses are available from the application areas (such as robotics, string matching and data mining) or the introductory courses on artificial intelligence, data analysis and machine learning. The course ‘Graphical models' in this sub-programme is mainly aimed at post-graduates. The new lecture course “Causal analysis” was introduced in the academic year 2005-2006.
Research in intelligent systems mainly focuses the basic problems in modelling and learning, including their application in various fields from engineering to social sciences and medicine. Most of the research is carried out in two research groups that work in Kumpula; the Complex Systems Computation Group (CoSCo) studies probability and information-theoretical modelling as well as methods for intelligent information retrieval, and the Neuroinformatics research group studies the application of statistical data-analysis methods in neuroscience. These groups have carried out research into such areas as user profiling and personalisation, adaptive learning environments, noise-elimination from and analysis of 2- and 3-dimensional image signals, modelling of the sight system in the brain, location-specific services in wireless networks and next-generation search engine technologies.
Contact person Professor Petri Myllymäki
Teaching: http://www.cs.helsinki.fi/alykkaat
Research:http://cosco.hiit.fi/
http://www.hiit.fi/neuroinf