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FEKT-LUINAcad. year: 2011/2012
The aim of the course is to deepen knowledges and application of artificial intelligence methods. Artificial intelligence. Neural networks, paradigm, backpropagation algorithm,neural networks as associative memories, RCE neural network, Kohonen maps. Expert systems, principle. Knowledge reprezentation. Problem solving.
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Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Classification of course in study plans
branch ML-KAM , 2 year of study, winter semester, compulsory
branch EE-FLE , 1 year of study, winter semester, compulsory
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Syllabus
Exercise in computer lab