Artificial Intelligence
The course is not on the list Without time-table
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| 14Y2UI | KZ | 2 | 2P+0C+8B | Czech |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Applied Informatics in Transportation
- Synopsis:
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History of artificial intelligence, knowledge, its representation including frames, state space search, constraints, genetic algorithms, machine learning.
- Requirements:
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Basic knowledge of algorithms and computer science.
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
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Learning about history of artificial intelligence and its subject. Course is focused to so-called good old fashion artificial intelligence based on manipulation with symbols which tend to origin of expert systems and qualitative simulation. There are mentioned modern approaches based on semantics too.
- Study materials:
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MIT Open Courseware, http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2006/
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Master Full-Time DS from 2022/23 (compulsory elective course)
- Master Full-Time LA from 2022/23 (compulsory elective course)
- Master Full-Time PL from 2022/23 (compulsory elective course)
- Master Part-Time PL from 2022/23 (compulsory elective course)
- Master Full-Time DS from 2023/24 (compulsory elective course)
- Master Full-Time IS (joint degree) from 2023/24 (compulsory elective course)
- Master Full-Time PL from 2023/24 (compulsory elective course)
- Master Part-Time PL from 2023/24 (compulsory elective course)
- Master Full-Time DS from 2024/25 (compulsory elective course)
- Master Full-Time LA from 2024/25 (compulsory elective course)
- Master Full-Time PL from 2024/25 (compulsory elective course)
- Master Part-Time PL from 2024/25 (compulsory elective course)