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About the project of the Bund-Länder-Initiative

"AI for All: Introduction to Artificial Intelligence"

Heinrich Heine University Düsseldorf has set itself the task of creating a low-threshold offer for all students that will promote students' competencies in the field of artificial intelligence across all faculties. Last year, HeiCAD succeeded in acquiring third-party funding for this project in the federal-state program "Artificial Intelligence in Higher Education".

The continuing education project "AI for All" is being developed jointly by Heine Center for Artificial Intelligence and Data Science (HeiCAD) and the Service Center for Good Teaching and Learning (SeLL).

In the future, the use and evaluation of artificial intelligence methods will be important competencies for students in all degree programs at Heinrich Heine University Düsseldorf (HHU). This is true in the natural sciences and medicine as well as in the social sciences, economics, law, and the cultural sciences and humanities.

Prof. Dr. Martin Mauve, Director of HeiCAD and Prorector for Digitalization at HHU

In order to be able to make an AI course available to all HHU students and to enable the systematic acquisition of these competencies, a prerequisite-free online course is being created:

A universal AI teaching programme requires a careful didactic concept in order to really address everyone - especially when the students' professional distance to mathematics and computer science is high

Prof. Dr. Mauve

"AI for All" is designed in such a way that it can be integrated directly into degree programs if they do not offer their own courses in the field of AI. Alternatively, individual elements from "AI for All" can be adopted for subject-specific tailored courses and/or freely adapted.

Started: 1.4.2023

The first pilot course has been completed and can be taken from 1.4.2023. The trial phase is accompanied by a systematic evaluation and step-by-step optimization as well as exemplary integration into and adaptation to selected study programs. All learning materials created are published under an open source license (e.g. CC BY-SA 4.0) and external learning materials are systematically integrated into "AI for all". The long-term continuation of "AI for All" after the set-up phase applied for here is ensured.

For the implementation of the project, professors from all faculties of HHU have joined forces to develop and operate "AI for All" under the leadership of the Heine Center for Artificial Intelligence and Data Science (HeiCAD) and with the collaboration of the Service Center for Good Teaching and Learning (SeLL): Natalie Böddicker (SeLL), Prof. Dr. Svenja Caspers (Medicine), Prof. Dr. Stefan Dietze (Computer Science), Prof. Dr. Holger Gohlke (Pharmacy), Prof. Dr. Florian Heiß (Statistics and Econometrics), Prof. Dr. Frank Marcinkowski (Communication Science), Prof. Dr. Tobias Marschall (Bioinformatics), Prof. Dr. Martin Mauve (Computer Science), Prof. Dr. Regina Schober (English/American Studies), Prof. Dr. Birgit Strodel (Chemistry), Jun.-. Prof. Dr. Julia Trinkert (Art History), Prof. Dr. Björn Usadel (Biology), Jun.-Prof. Dr. Johann Justus Vasel LL.M. (NYU) (Public Law with special regard to legal issues of Artificial Intelligence), and Prof. Dr. Alexander Ziem (German Linguistics).

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