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Artificial intelligence and biology inspired methods

Course aims

An introduction to artificial intelligence and providing students of computer science with a broader knowledge. Individual chapters of Artificial intelligence will be
will be presented in an overview format to give the student a basic idea of the areas that Artificial intelligence deals with. The graduate should acquire the necessary
perspective for further study in more in-depth courses.

Literature

RUSSELL, S., Artificial Intelligence: A Modern Approach. England, 2015.
NAGY, Z., Artificial Intelligence and Machine Learning Fundamentals, Packt Publishing, 2018.
KREUTZER, R.T., SIRRENBERG, M., Understanding Artificial Intelligence, Springer, 2020.

Advised literature

KAPLAN, J. Artificial Intelligence: What Everyone Needs to Know. England, 2016.
KIM, P. MATLAB deep learning: With mashine learning, neural networks and artificial intelligence, Apress, 2017.


Language of instruction čeština, angličtina
Code 653-3175
Abbreviation UIBIM
Course title Artificial intelligence and biology inspired methods
Coordinating department Department of Materials Engineering and Recycling
Course coordinator doc. Dr. Mgr. Kamil Postava