| Course title | Introduction to Artificial Intelligence |
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| Course code | KKY/UUI |
| Organizational form of instruction | Lecture + Tutorial |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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1.-3. The use of artificial intelligence (AI) techniques in cybernetics. The basic approaches of AI - machine recognition, machine learning, machine understanding, machine perception etc. 4.-5. Problem-solving, backtracking, breadth-first search, depth-first search. Informed strategies, A star strategy, heuristic function, hill climbing search, Beam, Branch & Bound. Handling special constrains. 6. Game playing, Minimax algorithm, alpha-beta pruning. Examples. 7. Knowledge representation and reasoning. Statement logic; inference in statement logic, resolution. Examples. 8. First-order logic, basic terminology; natural language and first-order logic, conversion of natural language sentences into the first-order logic formulas. Examples. 9.-10. Inference in first-order logic, unification, conjunctive normal form for firts-order logic. The resolution inference rule. Resolution strategies. Prolog. 11. Production systems. Structure of production system, base of knowledge, production rules. Control strategies, bottom-up and bottom-down strategy. Examples 12. Representation of knowledge by semantic nets, frames and scenarios. Examples 13. Conclusion of the course.
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| Learning activities and teaching methods |
Individual study, Lecture, Seminar
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| prerequisite |
| Knowledge |
| disponovat základními znalostmi matematické analýzy (KMA/M1) |
| Skills |
| srozumitelně formulovat problém |
| používat aktivně základní znalosti matematické analýzy |
| Competences |
| N/A |
| N/A |
| N/A |
| learning outcomes |
| Knowledge |
| formulovat a řešit jednoduché problémy z oblasti řešení úloh (problem solving) |
| reprezentovat znalosti logickými a relačními formalismy a ozumět a používat základní metody odvozování znalostí v UI |
| řešit jednoduché úlohy hraní her pro 2 hráče |
| Skills |
| v oblasti praktického řešení úloh (problem solving); dovede formalizovat stavy a operátory, dovede vybrat strategii řešení; v oblasti strojové reprezentace znalostí student dovede dle povahy úlohy volit mezi logickými a relačními formalismy reprezentace znalostí; dovede pracovat s odvozovacími formalismy |
| Competences |
| N/A |
| teaching methods |
| Knowledge |
| Lecture |
| Seminar |
| Individual study |
| Skills |
| Lecture |
| Seminar |
| Task-based study method |
| Skills demonstration |
| Competences |
| Lecture |
| Task-based study method |
| Seminární cvičení a též zkouška jsou platformou k demonstraci cílených způsobilostí. |
| assessment methods |
| Knowledge |
| Combined exam |
| Skills demonstration during practicum |
| Skills |
| Combined exam |
| Skills demonstration during practicum |
| Odborné dovednosti jsou získávány postupně, a to řešením praktických úloh na seminářích, neformální diskusí vedenou k řešenému problému, analýzou závěrů. |
| Competences |
| Combined exam |
| Skills demonstration during practicum |
| 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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