Artificial intelligence and biology inspired methods

Type of study	Follow-up Master
Language of instruction	Czech
Code	653-3175/01
Abbreviation	UIBIM
Course title	Artificial intelligence and biology inspired methods
Credits	4
Coordinating department	Department of Materials Engineering and Recycling
Course coordinator	doc. Dr. Mgr. Kamil Postava

Subject syllabus

1. Introduction to artificial intelligence.
2. Problem solving and state space search.
3. Expert systems.
4. Multiagent systems.
5. Artificial life.
6. Deterministic chaos and fractals.
7. Robotics.
8. Unconventional approaches in AI.
9. Application of artificial intelligence methods.
10. Modern trends in AI 1.
11. Modern trends in AI 2.

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.

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