Janna Franzkeit, M.Sc.



Publications (Excerpt)

[182401]
Title: Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks [DELFI Poster Award Winner]. <em>DELFI 2020</em>
Written by: Kastner, Marvin and Franzkeit, Janna and Lainé, Anna
in: <em>DELFI 2020</em>. (2020).
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on pages: 365-366
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Editor: In Zender, Raphael and Ifenthaler, Dirk and Leonhardt, Thiemo and Schumacher, Clara (Eds.)
Publisher: Gesellschaft für Informatik e.V.:
Series: Lecture Notes in Informatics (LNI) - Proceedings
Address: Bonn
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ISBN: 978-3-88579-702-9
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URL: https://api.ltb.io/show/BMRWS
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[pdf] [www]

Note: malitup

Abstract: 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