Artificial Inteligence in Security
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 050-0541/01 |
| Abbreviation | UIvB |
| Course title | Artificial Inteligence in Security |
| Credits | 4 |
| Coordinating department | Department of Civil Protection |
| Course coordinator | doc. Ing. Pavel Šenovský, Ph.D. |
Subject syllabus
1. Introduction – Short History
2. Generative AI and road to AGI
3-4. Introduction to Object Analysis using UML Language
5. Expert Systems
6. Neural Networks and its Adaptation
7. Prediction and its Usage
8. Neural Networks for Classification Problems
9. Neural Networks for Image Recognition
10. Case Studies of Neural Networks Usage
11. Cellular Automata
12. Multi-Agent Systems
13. Genetic Algorithms
2. Generative AI and road to AGI
3-4. Introduction to Object Analysis using UML Language
5. Expert Systems
6. Neural Networks and its Adaptation
7. Prediction and its Usage
8. Neural Networks for Classification Problems
9. Neural Networks for Image Recognition
10. Case Studies of Neural Networks Usage
11. Cellular Automata
12. Multi-Agent Systems
13. Genetic Algorithms
E-learning
textook and other study materials for the course are available in LMS system.
Literature
Russell, S.J., Norvig, P. Artificial intelligence: a modern approach. 3rd ed., Pearson new international ed. Harlow: Pearson, c2014. Pearson custom library. ISBN 978-1-292-02420-2.
R: The R Project for Statistical Computing [online]. [cit. 2018-09-4]. Dostupné z: https://www.r-project.org/
R: The R Project for Statistical Computing [online]. [cit. 2018-09-4]. Dostupné z: https://www.r-project.org/
Advised literature
Haykin, S.S. Neural networks and learning machines. 3rd ed., Pearson international ed. Upper Saddle River: Pearson, c2009. ISBN 978-0-13-129376-2.
Dreyfus, G. Neural networks: methodology and applications. Berlin: Springer, c2005. ISBN 3-540-22980-9.
Dreyfus, G. Neural networks: methodology and applications. Berlin: Springer, c2005. ISBN 3-540-22980-9.