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Lecturer(s)
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Křupka Jiří, doc. Ing. PhD.
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Course content
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1. Ambient intelligence and social impacts. 2. Introduction to artificial intelligence and soft computing. 3. Industry 4.0 and examples of the use of intelligent systems. 4. Fuzzy logic. 5. Fuzzy inference systems. 6. Example of Mamdani fuzzy inference system design. 7. Artificial Neural networks. 8. Example of artificial neural network design with supervised learning. 9. Neuro-fuzzy systems. 10. Classification models. 11. Prediction models. 12. Evolutionary algorithms. 13. New trends in the field of intelligent systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work
- Contact teaching
- 12 hours per semester
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Learning outcomes
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The course aim is to introduce students with the issues of Soft Computing (Computational Intelligence). The course is focused on acquiring knowledge, mastering algorithms, mastering tools and developing skills in the design and implementation of systems based on computational intelligence methods so that they can work with uncertainty in data for more effective management and decision-making.
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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, Student performance assessment, Work-related product analysis
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Recommended literature
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Křupka, J., Kašparová, M. Úvod do teorie systémů - multimediální opora na CD-ROM. Pardubice, 2007. ISBN 978-80-7194-955-8.
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Křupka, Jiří. Modelování v kostce pro Matlab a Simulink : distanční opora. Pardubice: Univerzita Pardubice, 2009. ISBN 978-80-7395-162-7.
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KUNCHEVA, L. I. Fuzzy Classifier Design. A Springer Verlag Company: Germany, 2000. ISBN 80-903024-9.
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Olej, Vladimír. Úvod do umělé inteligence : moderní přístupy : distanční opora. Pardubice: Univerzita Pardubice, 2010. ISBN 978-80-7395-307-2.
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Pokorný, Miroslav. Umělá inteligence v modelování a řízení. Praha: BEN - technická literatura, 1996. ISBN 80-901984-4-9.
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Russell, Stuart J. Artificial intelligence : a modern approach. Harlow: Pearson Education, 2014. ISBN 978-1-292-02420-2.
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