[ 993TASM22 ] Subject Symbolic AI and Mathematical Foundations

Workload Mode of examination Education level Study areas Responsible person Coordinating university
21 ECTS Accumulative subject examination M1 - Master's programme 1. year Computer Science Sepp Hochreiter Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2022W
Objectives Classical methods in AI rely on symbolic reasoning based on logic and mathematics. On the one hand, a focus of this elective track is on deductive reasoning, including model checking and theorem proving, techniques which are also essential for software and hardware verification. On the other hand, students can focus on specialized mathematical topics in the fields of analysis, numerics, and statistics, which underpin modern AI technologies.
Subject The contents of this subject result from the contents of its courses.
Further information 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).
Subordinated subjects, modules and lectures