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Lecturer(s)
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Olej Vladimír, prof. Ing. CSc.
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Hájek Petr, prof. Ing. Ph.D.
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Course content
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Ever-present (ambient) intelligence. Artificial and computational intelligence areas. Example of a system with artificial intelligence. Informatics and artificial intelligence in knowledge society. Logical programming languages. Simple knowledge system design. Knowledge representation. Binary expert systems. Expert systems with uncertainty. Time series pre-processing. Neural networks - decision support in economics, social and environmental sphere. Simple models of economic models classification and prediction using neural networks.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
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Learning outcomes
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The aim of the course is to provide basic knowledge in the area of artificial and computer intelligence and the possibilities for its use in various areas of social life, especially the economics, social and environmental fields.
The students should be able to understand the areas and methods of artificial and computer intelligence, they should be able to use simple methods and design simple models, as well as be able to work with the knowledge acquired and uncertainty.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination, Didactic test, Discussion, Class observation
Completion and successful defence of two projects with a success rate of at least 60 %, written tests throughout the semester. The assignment grade consists of 50 % project result and 50 % written test result. The examination is written.
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Recommended literature
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GIARRATANO, J. C., RILEY, G. D. Expert Systems: Principles and Programming, 3rd Edition. PWS Publishing, 1998. ISBN 0534950531.
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KUNCHEVA, L. I. Fuzzy Classifier Design. A Springer Verlag Company, Germany, 2000. ISBN 80-903024-9.
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NILSSON, N. J. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 1998, ISBN 1558604677. Prentice Hall, Second Edition, New Jersey, 2003. ISBN 80 7194-670.
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