Data Science und Lineare Algebra: Didaktisch-Methodische Überlegungen

Thomas Schramm^*

^*Corresponding author for this work

Original language	German
Title of host publication	Proceedings ASIM SST 2020
Editors	Christina Deatcu, Daniel Lückerath, Oliver Ullrich, Umut Durak
Place of Publication	Wien
Publisher	ARGESIM/ASIM
Pages	477–479
Volume	AM 174
ISBN (Print)	978-3-901608-93-3
Publication status	Published - 2020
Event	25. ASIM Symposium Simulationstechnik - Duration: 1 Jan 2020 → …

Conference	25. ASIM Symposium Simulationstechnik
Period	1/01/20 → …

Cite this

@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",

}

Data Science und Lineare Algebra: Didaktisch-Methodische Überlegungen. / Schramm, Thomas.
Proceedings ASIM SST 2020. ed. / Christina Deatcu; Daniel Lückerath; Oliver Ullrich; Umut Durak. Vol. AM 174 Wien: ARGESIM/ASIM, 2020. p. 477–479 (ASIM Mitteilung; Vol. AM 174).

Research output: Chapter in Book (Inbook) /Conference Proceeding › Conference Paper › Research Article/Contribution

TY - GEN

T1 - Data Science und Lineare Algebra

T2 - 25. ASIM Symposium Simulationstechnik

AU - Schramm, Thomas

PY - 2020

Y1 - 2020

M3 - Konferenzbeitrag/Konferenzpaper

SN - 978-3-901608-93-3

VL - AM 174

T3 - ASIM Mitteilung

SP - 477

EP - 479

BT - Proceedings ASIM SST 2020

A2 - Deatcu, Christina

A2 - Lückerath, Daniel

A2 - Ullrich, Oliver

A2 - Durak, Umut

PB - ARGESIM/ASIM

CY - Wien

Y2 - 1 January 2020

ER -