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Lecturer(s)
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Hájek Petr, prof. Ing. Ph.D.
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Hendrych Jan, Bc.
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Plaček Pavel
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Course content
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unspecified
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Home preparation for classes
- 28 hours per semester
- Contact teaching
- 52 hours per semester
- Individual project
- 30 hours per semester
- Preparation for a credit (assessment)
- 10 hours per semester
- Preparation for an exam
- 30 hours per semester
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Learning outcomes
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written examination, Home assignment evaluation, Didactic test, Discussion, Class observation
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Recommended literature
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Červenka, Rudolf. Umělá inteligence . Voznice: Leda, 2025. ISBN 978-80-7335-804-4.
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Kaplan, Jerry. Generative artificial intelligence . New York, NY, USA: Oxford University Press, 2024. ISBN 978-0-19-777354-3.
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KŘIVAN, M. Úvod do umělých neuronových sítí. Praha: Oeconomica, 2014. ISBN 9788024520247.
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OLEJ, V., HÁJEK, P. Úvod do umělé inteligence: klasická umělá inteligence - distanční opora. Pardubice: Univerzita Pardubice, 2009. ISBN 978-80-7395-241-9.
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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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RUSSELL S., and NORVIG P. Artificial Intelligence: A Modern Approach. Harlow: Pearson Education. 2021. ISBN 978-1-292-4.
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Šulc, Stanislav. Umělá inteligence - vítejte v nové realitě . Praha: Práh, 2024. ISBN 978-80-7696-037-4.
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