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Framework of an Active Learning Python Curriculum for First Year Mechanical Engineering Students

Wende, Martin ; Giese, Tim ; Bulut, Serdar ; Anderl, Reiner (2020)
Framework of an Active Learning Python Curriculum for First Year Mechanical Engineering Students.
2020 IEEE Global Engineering Education Conference (EDUCON). Porto, Portugal (27.04-30.04.2020)
doi: 10.1109/EDUCON45650.2020.9125259
Conference or Workshop Item, Bibliographie

Abstract

Mastering the digital transformation has been one of the most pressing issues for mechanical engineers in Germany, as reflected by various initiatives in the field of Industrie 4.0 that have emerged throughout the last decade. While research in this field is continuously increasing and Master courses addressing Industrie 4.0 and virtual product development enjoy rising participation numbers, the curriculum of undergraduate mechanical engineering students at our university has not changed significantly in recent years to reflect this transformation. Especially in the first two years of the curriculum, the focus lies on classical engineering fundamentals. The challenge for the computer science education of first year mechanical engineering students is consequently to adapt the learning outcomes to reflect the growing importance of computer and programming skills with the restriction not to increase the required time commitment, thus remaining compatible to the current framework of the undergraduate mechanical engineering program. In this paper, we present our approach of introducing an active learning course design with Python in addition to MATLAB into the existing course framework.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Wende, Martin ; Giese, Tim ; Bulut, Serdar ; Anderl, Reiner
Type of entry: Bibliographie
Title: Framework of an Active Learning Python Curriculum for First Year Mechanical Engineering Students
Language: English
Date: 27 April 2020
Event Title: 2020 IEEE Global Engineering Education Conference (EDUCON)
Event Location: Porto, Portugal
Event Dates: 27.04-30.04.2020
DOI: 10.1109/EDUCON45650.2020.9125259
Abstract:

Mastering the digital transformation has been one of the most pressing issues for mechanical engineers in Germany, as reflected by various initiatives in the field of Industrie 4.0 that have emerged throughout the last decade. While research in this field is continuously increasing and Master courses addressing Industrie 4.0 and virtual product development enjoy rising participation numbers, the curriculum of undergraduate mechanical engineering students at our university has not changed significantly in recent years to reflect this transformation. Especially in the first two years of the curriculum, the focus lies on classical engineering fundamentals. The challenge for the computer science education of first year mechanical engineering students is consequently to adapt the learning outcomes to reflect the growing importance of computer and programming skills with the restriction not to increase the required time commitment, thus remaining compatible to the current framework of the undergraduate mechanical engineering program. In this paper, we present our approach of introducing an active learning course design with Python in addition to MATLAB into the existing course framework.

Alternative Abstract:
Alternative abstract Language

Die Bewältigung des digitalen Wandels ist eine der drängendsten Fragen für Maschinenbauer in Deutschland, wie verschiedene Initiativen im Bereich Industrie 4.0 zeigen, die im Laufe des letzten Jahrzehnts entstanden sind. Während die Forschung auf diesem Gebiet kontinuierlich zunimmt und sich Master-Studiengänge, die sich mit Industrie 4.0 und virtueller Produktentwicklung befassen, steigender Teilnehmerzahlen erfreuen, hat sich das Curriculum der Maschinenbaustudenten an unserer Universität in den letzten Jahren nicht wesentlich verändert, um diesem Wandel Rechnung zu tragen. Insbesondere in den ersten beiden Jahren des Curriculums liegt der Schwerpunkt auf den klassischen ingenieurwissenschaftlichen Grundlagen. Die Herausforderung für die Informatikausbildung der Maschinenbaustudenten im ersten Studienjahr besteht folglich darin, die Lernergebnisse an die wachsende Bedeutung von Computer- und Programmierkenntnissen anzupassen, mit der Einschränkung, den erforderlichen Zeitaufwand nicht zu erhöhen, um so kompatibel mit dem derzeitigen Rahmen des Maschinenbaustudiengangs zu bleiben. In diesem Beitrag stellen wir unseren Ansatz vor, ein aktives Lernkursdesign mit Python zusätzlich zu MATLAB in den bestehenden Kursrahmen zu integrieren.

German
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK) (from 01.09.2022 renamed "Product Life Cycle Management")
Date Deposited: 07 Jul 2020 06:25
Last Modified: 16 Jul 2020 06:40
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