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Course detail
FEKT-KMPAAcad. year: 2011/2012
Using of knowledge systems in automation. Data and knowledge. Acquirement process of knowledges. Automatic acquirement of knowledges. Computer vision, image preprocessing, image segmentation, image description and classification. Artificial neural networks, paradigm, multilayer perceptrons, simulation dynamic systems of neural networks. Expert systems, structure, action. Application expert systems in automation.
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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 BK-AMT , 3 year of study, summer semester, elective specialised
branch EE-FLE , 1 year of study, summer semester, elective specialised
Lecture
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Syllabus
Exercise in computer lab