050-0509/02 – Expert Systems (EXPERT)
Gurantor department | Department of Civil Protection | Credits | 5 |
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 |
Year | 4 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2018/2019 | Year of cancellation | 2024/2025 |
Intended for the faculties | FBI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The goal of the subject is to gain basic knowledge about:
- expert systems,
- neural networks,
- genetic algorithms.
Teaching methods
Lectures
Tutorials
Project work
Summary
The student understands basics of the system analysis using UML (Universal Modeling Language) as a basis of the rule-based expert system development and also other possible applications of the artificial intelligence tools and approaches to solve real-life problems.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
test
E-learning
Other requirements
Students will develop analysis of chosen ontology using UML or they will apply chosen artificial life method for solving given problem.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Introduction to artificial intelligence
2. UML and ontology modeling
3. Expert systems
4. Neural networks
5. Cellular automata
6. L-systems
7. Multi agent systems
8. Genetic algorithms
9. Case studies of artificial intelligence usage
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.