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FIT-SFCAcad. year: 2015/2016
Soft computing covers non-traditional technologies or approaches to 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, ACO (Ant Colony Optimization) and PSO (Particle Swarm Optimization) algorithms. Probabilistic reasoning. Rough sets. Chaos. Hybrid approaches (combinations of neural networks, fuzzy logic and genetic algorithms).
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branch MMI , 0 year of study, winter semester, electivebranch MBI , 2 year of study, winter semester, compulsorybranch MBS , 0 year of study, winter semester, electivebranch MGM , 0 year of study, winter semester, electivebranch MIN , 1 year of study, winter semester, compulsorybranch MIS , 0 year of study, winter semester, electivebranch MMM , 0 year of study, winter semester, compulsory-optionalbranch MPV , 2 year of study, winter semester, compulsory-optionalbranch MSK , 0 year of study, winter semester, elective
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