| Autor: |
Glauner, Patrick |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Proceedings of the 2nd Teaching in Machine Learning Workshop, PMLR, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2021 |
| Druh dokumentu: |
Working Paper |
| Popis: |
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). |
| Databáze: |
arXiv |
| Externí odkaz: |
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