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Terminated in academic year 2022/2023

Selected Methods of Artificial Intelligence

Type of study Doctoral
Language of instruction Czech
Code 545-0939/01
Abbreviation VMUI
Course title Selected Methods of Artificial Intelligence
Credits 10
Coordinating department Department of Economics and Control Systems
Course coordinator prof. Ing. Juraj Spalek, PhD.

Subject syllabus

1. Basic concepts in artificial intelligence.
2. The Turing test
3. Algorithms type chatterbot, practical applications
4. The types of artificial neural networks
5. Use of artificial neural networks, fuzzy systems for implementation
6. The use of artificial neural networks in prediction systems
7. The procedures for image processing (recognition of faces, objects and emotions)
8. Evolutionary algorithms in optimization problems

E-learning

Podpora průběžné formy studia v průběhu semestru využíváním elektronické formy diseminace přednášek a pomocných podkladů k jednotlivým tématům dle osnovy předmětu.

Literature

Kevin Warwick: Artificial Intelligence: The Basics, Routledge, 2013,e-ISBN 978-0-203-80287-8 .
Paul R. Cohen: The Handbook of Artificial Intelligence, Vol.3, Butterworth-Heinemann, 2014, ISBN 0-86576-004-7 

Advised literature

Leszek Rutkowski, et al: Artificial Intelligence and Soft Computing, Springer, 2014, e-ISBN 978-3-319-07176-3 .
José M. Vidal: Fundamentals of Multiagent Systems with NetLogo Examples. 2007