Dates
| weekly | Wednesday | 08:30 - 10:00 | 06.04.2026 - 10.07.2026 | C 12.105 Seminarraum |
| single appointment | We, 29.04.2026, 09:30 - We, 29.04.2026, 17:00 | C 13.120 Labor |
| single appointment | Tu, 28.07.2026, 10:00 - Tu, 28.07.2026, 11:00 | C 40.501 Seminarraum | Schriftlicher Test im Rahmen der kwA |
Curriculum context
Demo Session der Projektarbeit (60%)
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Organizational information
Registration
Registration ends 07.4.2026 at 23:59 h
You will register automatically for this course if you register for one of the following courses:
Foundations of AI - Exercise Group 1 (Kai Moltzen, Ricardo Usbeck),
Foundations of AI - Exercise Group 2 (Anna Ehrenberg, Ricardo Usbeck),
Foundations of AI - Exercise Group 3 (Anna Ehrenberg, Ricardo Usbeck)
Persons
Content
This module introduces key AI concepts, primarily focusing on technical topics such as machine learning, neural networks, and algorithms.
Students will learn methods from regression to advanced techniques in language and image processing, integrating these with an understanding of technological and societal impacts.
The Creative Space for Human and Artificial Intelligence serves as a hub for project-based learning and interdisciplinary collaboration.
The course aims to establish a comprehensive technical foundation in AI, enabling students to critically assess AI technologies' societal applications and ethical considerations in later courses.
Evaluation
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html