通过教授创新的AI课程在MOOC时代保持领先地位
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses
摘要：
随着教学数字化转型的快速推进，大学开始面临来自大规模开放式在线课程（MOOC）的激烈竞争。因此，大学必须将自己与MOOC区分开来，以证明三到五年制学位课程对未来学生的附加价值。在本文中，我们展示了我们如何在Deggendorf理工学院在ML和AI方面应对这一挑战。我们首先分享我们的最佳实践，并提出两个具体的课程，包括他们独特的销售主张：计算机视觉和人工智能创新管理。然后，我们展示了这些课程如何有助于Deggendorf理工学院区别于MOOC（和其他大学）的能力。
英文摘要：
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).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
