050-0541/01 – Artificial Inteligence in Security (UIvB)
| Gurantor department | Department of Civil Protection | Credits | 4 |
| Subject guarantor | doc. Ing. Pavel Šenovský, Ph.D. | Subject version guarantor | doc. Ing. Pavel Šenovský, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory type B |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2020/2021 | Year of cancellation | |
| Intended for the faculties | FBI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Students will gain basic knowledge for usage of artificial intelligence (foremost neural networks) to solve practical problems.
Teaching methods
Lectures
Tutorials
Summary
The students will learn basic principles of the function and deployment of various methods of artificial intelligence. The focus of the study will be into applications in safety and security. In practical part of the course, the students will gain first hand experience with design and usage of neural networks to solve practical problems.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Zpracování semestrálního projektu dle pokynů cvičícího, zápočtový test
E-learning
Other requirements
No additional requirements for student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
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
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction