Artifical intelligence (ILV)

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Course numberM4.08500.20.270
Course codeAI
Curriculum2022
Semester of degree program Semester 2
Mode of delivery Presence- and Telecourse
Units per week2,0
ECTS credits3,0
Language of instruction English

Students can explain different types of knowledge representation and their relation to Artificial Intelligence (AI). They can name the basic requirements of using AI systems. They understand the connection between AI and recommender systems and can apply such systems.

Artificial Intelligence plays a major role in analyzing vast quantities of data and automating processes. Recommender systems are systems used by digital businesses whose quality can be improved by AI.

  • Knowledge representation
  • AI and recommender systems
  • Management of AI systems

  • Jerry Kaplan (2016): Artificial Intelligence - What everyone needs to know. Oxford University Press
  • Wolfgang Ertel (2016): Grundkurs Künstliche Intelligenz: Eine praxisorientierte Einführung. 4th ed. Springer Vieweg.
  • Russell S., Norvig P. (2016): Artificial Intelligence: A Modern Approach, 3rd ed. Addison Wesley.
  • Felfernig A., Boratto L., Stettinger M., Tkalčič M. (2018): Group Recommender Systems: An Introduction. SpringerBriefs in Electrical and Computer Engineering.

Lecture, case study analysis in groups, using a recommender system

Written exam (70%), active participation during group work and recommender system activity (30%)