Concerning the Integration of Machine Learning Content in Mechatronics Curricula

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Author(s): Jörg Frochte (Bochum University of Applied Sciences, Germany), Markus Lemmen (Bochum University of Applied Sciences, Germany)and Marco Schmidt (Bochum University of Applied Sciences, Germany)
Copyright: 2020
Pages: 22
Source title: Revolutionizing Education in the Age of AI and Machine Learning
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/978-1-5225-7793-5.ch004

Keywords: Educational Technologies / Human Aspects of Technology / Information Science Reference / Social Sciences & Humanities

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Abstract

Machine learning is becoming more and more important for mechatronic systems and will become an ordinary part of today's student life. Thus, it is obvious that machine learning should be part of today's student's curriculum. Unfortunately, machine learning seldomly is implemented into the curriculum in a substantial or linking manner, but rather offered as an elective course. This chapter provides an analysis of how machine learning can be integrated as a mandatory part of the curriculum of mechatronic degree courses. It is considered what the required minimal changes in fundamental courses should be and how traditional subjects like robotics, automation, and automotive engineering can profit most of this approach. As a case study, this chapter utilizes an existing German mechatronic degree course specialized on information technology, which covers most of the discussed aspects.

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