Federal and state governments support Leibniz Universitiy's project in the "Artificial Intelligence in Higher Education" initiative
Students at Leibniz Universität Hannover (LUH) are now able to acquire skills in the field of artificial intelligence (AI) in a new, cross-disciplinary micro-degree programme. The project "Leibniz AI Academy" (AI: "Artificial Intelligence") is being funded with around two million euros for the next four years as part of the federal-state funding initiative "Artificial Intelligence in Higher Education". Through the initiative, the key technology of artificial intelligence is to be strengthened and well established in higher education.
The funding initiative supports measures to qualify future academic specialists, for example in the development of study programmes or individual modules in the field of AI. The design of AI-supported learning and examination environments is also promoted. The "Leibniz AI Academy", the development of which is based at Leibniz University's L3S research centre, is a micro-degree programme in which students from different degree programmes can acquire skills in the field of AI. The courses are additionally offered as a continuing education programme for interested parties from industry and organisations - with a flexible didactic hybrid concept of face-to-face events and online participation options.
L3S Director Prof. Dr. Wolfgang Nejdl, who is also Dean of the Faculty of Electrical Engineering and Computer Science, emphasises the innovative and cross-faculty component of the new programme: "Within the framework of the Leibniz AI Academy, we will network our extensive competencies in artificial intelligence with the broad spectrum of subjects at Leibniz University even more strongly in teaching as well, thereby offering students in a wide range of study programmes an innovative and customised offer."
Through the interdisciplinary concept, AI skills will not only be taught in computer science, but across the breadth of LUH's teaching offer, for example in mechanical engineering, geosciences, mathematics or the STEM subjects in teacher training. The aim is to identify possible applications for the subject disciplines and companies, to develop predictions and prediction models and to reflect on their opportunities and limitations.
The project is led by L3S members Prof. Dr. Ralph Ewerth and Prof. Dr. Marius Lindauer (both Faculty of Electrical Engineering and Computer Science) as well as Prof. Dr. Johannes Krugel (Faculty of Electrical Engineering and Computer Science) and Prof. Dr. Steffi Robak (Faculty of Philosophy).
"The Leibniz AI Academy enables us to implement an innovative hybrid concept that includes elements of both face-to-face and online teaching based on a modern didactic concept. In addition, we will evaluate the potential uses of the offer for continuing professional development," says Prof. Ewerth.
Prof. Dr. Ralph Ewerth
L3S Research Center
phone: +49 511 762 19651