Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses

Patrick Glauner

• Keywords: digital transformation of teaching, MOOCs, innovative courses
• TL;DR: We show how we set our university apart from MOOCs in ML and AI courses and share our best practices.
• Abstract: As a result of the rapidly advancing digital transformation of teaching, universities have started to face major competition from Massive Open Online Courses (MOOCs). Universities thus have to set themselves apart from MOOCs in order to justify the added value of three to five-year degree programs to prospective students. In this paper, we show how we address this challenge at Deggendorf Institute of Technology in ML and AI. We first share our best practices and present two concrete courses including their unique selling propositions: Computer Vision and Innovation Management for AI. We then demonstrate how these courses contribute to Deggendorf Institute of Technology's ability to differentiate itself from MOOCs (and other universities).