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FIT-SFCAcad. year: 2009/2010
Soft computing covers non-traditional technologies or approaches for solving hard real-world problems. Content of course, in accordance with meaning of its name, is as follow: Tolerance of imprecision and uncertainty as the main attributes of soft computing theories. Neural networks. Fuzzy logic. Genetic algorithms. Probabilistic reasoning. Rough sets. Chaos. Hybrid approaches (combinations of neural networks, fuzzy logic and genetic algorithms).
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Learning outcomes of the course unit
Students awake the importance of tolerance of imprecision and uncertainty for design of robust and low-cost intelligent machines.
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Specification of controlled education, way of implementation and compensation for absences
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Classification of course in study plans
branch MBI , 2 year of study, winter semester, compulsorybranch MBS , 0 year of study, winter semester, electivebranch MGM , 0 year of study, winter semester, electivebranch MGM , 0 year of study, winter semester, electivebranch MIN , 1 year of study, winter semester, compulsorybranch MIN , 2 year of study, winter semester, compulsorybranch MIS , 0 year of study, winter semester, electivebranch MIS , 0 year of study, winter semester, electivebranch MMI , 0 year of study, winter semester, electivebranch MMM , 2 year of study, winter semester, compulsory-optionalbranch MPS , 0 year of study, winter semester, electivebranch MPV , 2 year of study, winter semester, compulsory-optionalbranch MSK , 0 year of study, winter semester, elective
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