[ INBIPVOAINT ] VL Artificial Intelligence

(*) Unfortunately this information is not available in english.
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
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.
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.
Criteria for evaluation Written exam at the end of the semester.
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.

Changing subject? No
Corresponding lecture (*)ist gemeinsam mit INBIPUEAINT: UE Artificial Intelligence (1,5 ECTS)
äquivalent zu

INMWAKVKINT: KV Künstliche Intelligenz (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment