| Course title | Introduction to Artificial Intelligence |
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| Course code | KMI/KUUI |
| Organizational form of instruction | Lecture |
| Level of course | unspecified |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 4 |
| Language of instruction | Czech |
| Status of course | unspecified |
| Form of instruction | unspecified |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Lectures: 1 Introduction. Overview of the issue of intelligent systems; 2. Agent systems, agent system architectures; 3. Simulation modeling in the development of intelligent systems; 4. Fuzzy logic and fuzzy control; 5. Learning systems. Neural network; 6. Genetic algorithms, genetic programming; 7. Markov decision processes, reinforcement learning; 8. Planning and scheduling; 9. Basics of game theory; 10. Robotic systems; 11. Multi-agent systems - overview, examples of use; 12. Selected applications in economics;
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| Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Demonstration
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| Learning outcomes |
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Identification and characterization of artificial intelligence, the formulation of the background and basic problems of the field of artificial intelligence. The concept of an intelligent system, modeling of intelligent systems, the use of simulation in system design, working with uncertain and incomplete information, the foundations of soft computing, agent and multiagent architectures, learning adaptive systems, reinforcement learning, planning applications.
By completing the course students acquire basic overview of the issues covered in artificial intelligence as well as methods for their solution. Emphasis is focused on developing the student's ability to solve practical problems with the use of mentioned techniques. |
| Prerequisites |
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Subjects MATI, MATII
KMI/CM1 ----- or ----- KMI/KMATI ----- or ----- KMI/MATI ----- or ----- KMI/M1 and KMI/CM2 ----- or ----- KMI/KMATA ----- or ----- KMI/KMIIA ----- or ----- KMI/KMTII ----- or ----- KMI/MAIIA ----- or ----- KMI/MATIA ----- or ----- KMI/MATII ----- or ----- KMI/M1A ----- or ----- KMI/M2 ----- or ----- KMI/M2A ----- or ----- KMI/YMAII ----- or ----- KMI/YMATI |
| Assessment methods and criteria |
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Test
Requirements on students: Pass the final written test. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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