[ INBIPVOAINT ] VL Artificial Intelligence
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| Es ist eine neuere Version 2021S dieser LV im Curriculum Bachelor's programme Artificial Intelligence 2024W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 3 ECTS |
B3 - Bachelor's programme 3. year |
Computer Science |
Gerhard Widmer |
2 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Bachelor's programme Computer Science 2013W |
| Objectives |
Introduction to the field of Artificial Intelligence (AI), its basic assumptions, models, and algorithms.
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| Subject |
Definitions of AI. Problem solving as a search process: search algorithms (uninformed and heuristic), heuristic search in games. Knowledge representation and logical reasoning: inference in propositional logic and predicate logic.
Reasoning with uncertain knowledge: knowledge representation and inference in Bayesian nets. Machine learning: inductive concept learning, reinforcement learning. Basics of computer perception.
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| Criteria for evaluation |
Written exam at the end of the semester.
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| Language |
English |
| Study material |
Pdf versions of the Powerpoint slides used in the lecture will be made available via KUSSS (weekly).
Recommended reading (will not be needed if the lectures are attended on a regular basis):
Russell, S.J. and Norvig, P. (2000). Artificial Intelligence: A Modern Approach (2nd. Edition). Englewood Cliffs, NJ: Prentice-Hall.
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| Changing subject? |
No |
| Corresponding lecture |
(*)ist gemeinsam mit INBIPUEAINT: UE Artificial Intelligence (1,5 ECTS)
äquivalent zu
INMWAKVKINT: KV Künstliche Intelligenz (3 ECTS)
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| On-site course |
| Maximum number of participants |
- |
| Assignment procedure |
Direct assignment |
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