KI in Unternehmen (KIU 20/21), Bachelor

Semester: WS 2020/2021
Study Courses: Wirtschaftsinformatik (Bachelor), Betriebswirtschaftslehre (Bachelor), Wirtschafts & Recht (Bachelor), Wirtschaftspädagogik (Bachelor)
Credit Points: 6 CP
Contact person: Maxx Richard Rahman


The lecture "Artificial Intelligence in Companies" teaches the basics of Artificial Intelligence (AI) and shows potential for use in an entrepreneurial context. The objective is to convey an understanding of the variety of problems that can be solved by various methods that involve AI. The focus is on a logical understanding of how AI algorithms work. The reference to practical use is supported by a series of guest lectures by representatives of leading user companies and providers of AI software. After this lecture, students are able to assess which basic AI technologies can be used for which entrepreneurial tasks.

Dates and Rooms


  • Kersting, K., Lampert, C., Rothkopf, C.: Wie Maschinen lernen – Künstliche Intelligenz verständlich erklärt, Springer, 2019
  • Ertel, W.: Grundkurs Künstliche Intelligenz – Eine praxisorientierte Einführung (4. Auflage), Springer, 2016
  • Russell, S., Norvig, P.: Künstliche Intelligenz – Ein moderner Ansatz (3. Auflage), Pearson, 2012


General information

  • Composition of lecture: lecture (2 SWS) and exercise (2 SWS)
  • Language of lecture: German (slides in English)
  • Lecture: WS 2020/2021
  • Exercise: WS 2020/2021, Working independently on mini projects


  • Teaching the basics of artificial intelligence for non-engineers and non-computer scientists, including teaching practical relevance through guest lectures by companies from different industries on the current state of application of artificial intelligence.
  • The lecture "Information Management" is recommended
  • All participants are invited to ask questions about the current online lecture in the "Teilnehmerforum" at our learning platform; they will be discussed there.


  • Mini projects


Please register here for the lecture including the exercise.

Registration for the lecture in the UdS learning platform


The lecture covers a module exam consisting of an exam (120 minutes) and the evaluation of the exercise, prepared by oneself or in groups. The module grade is composed as follows: 80% exam, 20% exercise.