Interdisziplinäres Lehrprogramm zu maschinellem Lernen und künstlicher Intelligenz (InterKI)

Basic data for this project

Type of projectParticipation in federally funded joint project
Duration at the University of Münster01/12/2021 - 30/11/2025

Description

The aim of the project is to establish and test a graduated university-wide teaching programme on machine learning (ML) and artificial intelligence (AI). AI is taught as an interdisciplinary cross-sectional topic that has diverse application possibilities in basic research as well as in economy and society, but consequently also raises social, ethical and ecological challenges. The modular teaching program is designed to enable students to build up their AI knowledge, apply it independently and transfer it directly to various application areas. The courses take place in a broad interdisciplinary context, i.e., students from different departments take the courses together and work together on projects.

KeywordsInterdisziplinäre Lehre; Künstliche Intelligenz; KI; Maschinelles Lernen; ML
Website of the projecthttps://www.uni-muenster.de/CeNoS/InterKIWWU/
Funding identifier16DHBKI049
Funder / funding scheme
  • Federal Ministry of Research, Technology and Space (BMFTR)

Project management at the University of Münster

Thiele, Uwe

Applicants from the University of Münster

Thiele, Uwe

Management / project coordination at the University of Münster

Kamps, Oliver
Schmietendorf, Katrin

Research associates from the University of Münster

Bendig, David
Doltsinis, Nikos
Engwer, Christian
Erdbeer, Matthias
Fuchs, Doris
Glorius, Frank
Gurevich, Svetlana
Hahn, Tim
Heuer, Andreas
Heusler, Stefan
Jiang, Xiaoyi
Klasen, Michael
Koch, Oliver
Korth, Martin
Neugebauer, Johannes
Risse, Benjamin
Wagner, Heiko
Wiesel, Thorsten

Publications of the University of Münster resulting from the project

Yan, Peng; Fischer, Mirko; Martin, Harrison; Wolke, Christian; Krishnamoorthy, Anand Narayanan; Cekic-Laskovic, Isidora; Diddens, Diddo; Winter, Martin; Heuer, Andreas (2024)
In: Journal of Materials Chemistry A12(30)19123-19136. doi:10.1039/d3ta06249j
Research article (journal) | Peer reviewed | Published