Künstliche Intelligenz in Unternehmen

Winter Semester 2021/2022

In Cooperation with

Lecture

In the lecture “Artificial Intelligence in Enterprises” technologies of Artificial Intelligence are introduced practically, implications for enterprises are discussed and explained by concrete practical examples. The basics include the following topics:

  • Search

  • Logic and reasoning

  • Planning and scheduling

  • Probabilistic reasoning

  • Machine learning and neural networks

  • Future of work

The practical examples will be conducted together with the company representative.

 

 

 
 

Learning Objectives

Through the course Artificial Intelligence in Companies, students will be able to understand the basic concepts of artificial intelligence technologies and how they are applied based on concrete examples from companies. In collaboration with companies, the practical work is deepened through mini-projects in groups. This will enable students to evaluate and target the potential of AI technologies for the business context.

 
Prerequisite

Previous attendance of the bachelor course Information Management is recommended.

 

 

 
 

Organization

  • Semester: WS 2021/2022

  • Scope: Lecture (2 SWS) and exercise (2 SWS) / total 6 CP

  • Exam: The course includes a module examination consisting of the written examination (120 minutes) and the assessment of the mini-projects. The module grade is composed as follows: 80% written exam, 20% mini-project. Registration for the exam is done via VIPA.

  • Language of the course: German

  • Exercise: Independent work on mini-projects and additionally 3 exercise sheets

  • First lecture: 21. October 2021

  • Time: Thursdays, 2 pm – 3pm

  • Place: Building B4 1, Room 0.07

  • Moodle

  • Lecturer: Univ.-Prof. Dr.-Ing. Wolfgang Maass

  • All participants can post questions about the current lecture in the “Participant Forum” on the learning platform, which will then be discussed there.

 

 

 
 

Literature

  • 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

Additional Literature
  • Kersting, K., Lampert, C., Rothkopf, C .: How machines learn – Artificial intelligence explained in an understandable way, Springer, 2019