(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Form der Prüfung
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Anbietende Uni
min. 13,5 ECTS
Gliederung
M1 - Master 1. Jahr
Informatik
Sepp Hochreiter
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Masterstudium Artificial Intelligence 2022W
Ziele
(*)The focus of this subject is on deductive reasoning, including model checking and theorem proving, techniques which are also essential for software and hardware verification.
Sonstige Informationen
(*)Rules for the elective track "Symbolic AI and Mathematical Foundations": (a) Students need to complete 21 ECTS points in total from both sub-categories ("Symbolic AI" and "Mathematical Foundations"). (b) Students need to choose a “focus” sub-category from which at least 13.5 ECTS points have to be completed. If the focus is the sub-category “Symbolic AI”, the following courses must be completed:
993TASMKPLV22: VL Knowledge Representation and Learning (3 ECTS)
993TASMKPLU22: UE Knowledge Representation and Learning (1.5 ECTS)
993TASMPRAV22: VL Planning and Reasoning in Artificial Intelligence (3 ECTS)
993TASMPRAU22: UE Planning and Reasoning in Artificial Intelligence (1.5 ECTS).
Untergeordnete Studienfächer, Module und Lehrveranstaltungen
