CSC

	Tehdyt toimenpiteet Helsinki University of Technology Laboratory of Computer and Information Science Group leader: Samuel Kaski Home page: http://www.cis.hut.fi/projects/mi/ Bioinformatics at the Laboratory of Computer and Information Science, Helsinki University of Technology Research The Laboratory of Computer and Information Science has strong research activity in developing statistical models and algorithms for analyzing biological processes and mining biological data. Two closely co-operating groups of our laboratory apply modern computational and statistical methods to problems of computational biology: (i) Pattern Discovery group (H. Mannila, J. Hollmen) of the From Data to Knowledge center of excellence, and (ii) Statistical Data Mining and Bioinformatics group of the Finnish Center of Excellence in Adaptive Informatics Research (S. Kaski). Teaching The lab offers a bioinformatics major based on the active research of the laboratory in both methods and bioinformatics, both to students in the degree programmes in computer science and in bioinformation technology. The lab additionally participates in a new international Master's programme on bioinformatics, starting in 2006 in collaboration with University of Helsinki, and in several graduate schools partly in the field of bioinformatics. The goal is advanced understanding of the computational, modeling, and data mining methods required for understanding biological and medical systems, analyzing large datasets measured from them, and in solving modern biomedical research problems. Since all advances in the field cannot be predicted, the studies include a strong general-purpose methodological basis which does not leave the students speechless when the field progresses. At the moment, for instance data analysis experts are needed in research institutions and companies in the biotech, medical, and pharmaceutical industries. The studies consist of advanced studies in at least one of the subfields of bioinformatics or neuroinformatics. Lecture courses and special courses on timely topics are available for that. Additionally, a strong general-purpose understanding of the methods is needed: data mining, statistical modeling or machine learning. Within these limits the studies can be planned freely. More information about the bioinformatics Master's programme http://www.cs.helsinki.fi/bioinformatiikka/mbi/ Back to the group list