@inproceedings{1eedd36cd211455c85dd4d8c6bc098c8,
title = "Data Science und Lineare Algebra: Didaktisch-Methodische {\"U}berlegungen",
author = "Thomas Schramm",
year = "2020",
language = "Deutsch",
isbn = "978-3-901608-93-3",
volume = "AM 174",
series = "ASIM Mitteilung",
publisher = "ARGESIM/ASIM",
pages = "477–479",
editor = "Christina Deatcu and Daniel L{\"u}ckerath and Oliver Ullrich and Umut Durak",
booktitle = "Proceedings ASIM SST 2020",
note = "25. ASIM Symposium Simulationstechnik ; Conference date: 01-01-2020",
}