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Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks

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2020

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Gesellschaft für Informatik e.V.

Zusammenfassung

Teaching machine learning in fields outside of computer sciences can be challenging when the students do not have a solid code knowledge. In this work, the requirements for teaching data literacy and code literacy to students of logistics are explored. Specifically, the use of Jupyter Notebooks in a machine learning course for students in logistics is evaluated, using “Teaching and Learning with Jupyter” written by Barba et al. in 2019 that lists several teaching patterns for Jupyter Notebooks.

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Kastner, Marvin; Franzkeit, Janna; Lainé, Anna (2020): Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks. DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-702-9. pp. 365-366. Online. 14.-18. September 2020

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