Inhalt

[ 993TASMPRAU22 ] UE Planning and Reasoning in Artificial Intelligence

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Martina Seidl 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2025W
Learning Outcomes
Competences
See lecture of the same name.
Skills Knowledge
See lecture of the same name. See lecture of the same name.
Criteria for evaluation See lecture of the same name.
Methods See lecture of the same name.
Language English
Study material See lecture of the same name.
Changing subject? No
Further information This exercise course and the associated lecture form an inseparable didactic unit. The learning outcomes presented here are achieved through the close interaction of the two courses.
Corresponding lecture 201COMACALU18: UE Computer Algebra (1.5 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
993TARKPRAU20: UE Planning and Reasoning in Artificial Intelligence (2020W-2022S)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment