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

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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  • BibTeX
Kastner, M., Franzkeit, J. & Lainé, A., (2020). Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks. In: Zender, R., Ifenthaler, D., Leonhardt, T. & Schumacher, C. (Hrsg.), DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.. Bonn: Gesellschaft für Informatik e.V.. (S. 365-366).
@inproceedings{mci/Kastner2020,
author = {Kastner, Marvin AND Franzkeit, Janna AND Lainé, Anna},
title = {Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks},
booktitle = {DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.},
year = {2020},
editor = {Zender, Raphael AND Ifenthaler, Dirk AND Leonhardt, Thiemo AND Schumacher, Clara} ,
pages = { 365-366 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-702-9
ISSN: 1617-5468
Datum: 2020
Sprache: en (en)
Typ: Text/Conference Paper
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