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Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence
460-2078/01
čeština Fundamentals of Artificial Intelligence
460-2078/02
angličtina

Anotace

The course should provide students with a solid foundation in the theory and practical applications of AI, covering the history, key concepts, algorithms, examples of the use of generative AI, overlap and connections with robotics, game theory, cognitive science, and finally, clearly define the importance of data interpretability, and issues of future development and ethical aspects of AI.

Povinná literatura

POOLE, David L. a MACKWORTH, Alan K. Artificial intelligence: foundations of computational agents. Second edition. Cambridge: Cambridge University Press, 2017. ISBN 978-1-107-19539-4.

LINDHOLM, Andreas; WAHLSTRÖM, Niklas; LINDSTEN, Fredrik a SCHÖN, Thomas. Machine learning: a first course for engineers and scientists. Cambridge, United Kingdom: Cambridge University Press, 2022. ISBN 978-1-108-84360-7.

Doporučená literatura

ANGELOV, Plamen (ed.). Handbook on computer learning and intelligence. New Jersey: World Scientific, [2022]. ISBN 978-981-124-604-3 .

BUDUMA, Nikhil. Fundamentals of deep learning: designing next-generation machine intelligence algorithms. Beijing: O'Reilly, 2017. ISBN 9781491925614 .


zpět na vyhledávání
Language of instruction čeština, angličtina
Code 460-2078
Abbreviation ZUI
Course title Fundamentals of Artificial Intelligence
Coordinating department Department of Computer Science
Course coordinator prof. Ing. Roman Šenkeřík, Ph.D., DBA