Bata, Katharina; Schmitz, Angela; Eichler, Andreas:
Insights into the Design of an Introductory Course for Data Science and Machine Learning for Engineering Students
In: Proceedings of the Twelfth Congress of the European Society for Research in Mathematics Education (CERME12) / Hodgen, Jeremy; Geraniou, Eirini; Bolondi, Giorgio; Ferretti, Federica (Eds.). - Twelfth Congress of the European Society for Research in Mathematics Education (CERME12); Bozen-Bolzano, Italy; 02.02.-07.02.2022 - Bozen-Bolzano: Free University of Bozen-Bolzano and ERME, 2022, pp. 797 - 804
2022Essay (Conference) in Conference proceedingsOpen Access
Faculty of Process Engineering, Energy and Mechanical Systems » Institute of Product Development and Engineering Design
Related: 1 publication(s)
Title:
Insights into the Design of an Introductory Course for Data Science and Machine Learning for Engineering Students
Author:
Bata, KatharinaTH Köln
DHSB-ID
THK0002904
Other
person connected with TH Köln
;Schmitz, AngelaTH Köln
DHSB-ID
THK0002860
SCOPUS
58092864600
Other
person connected with TH Köln
;Eichler, Andreas
Year of publication:
2022
„Publication Channel“:
Open Access
WWW URL:
https://hal.science/CERME12/hal-03751807v1
Language of text:
English
Appears in
Proceedings of the Twelfth Congress of the European Society for Research in Mathematics Education (CERME12)
Conference
Twelfth Congress of the European Society for Research in Mathematics Education (CERME12); Bozen-Bolzano, Italy; 02.02.-07.02.2022
Editor:
Hodgen, Jeremy;Geraniou, Eirini;Bolondi, Giorgio;Ferretti, Federica
Place of publication:
Bozen-Bolzano
Publisher:
Free University of Bozen-Bolzano and ERME
Year of publication:
2022
in:
pp. 797 - 804
ISBN
9791221025378
Language of text:
English
Type of resource:
Text
Practice Partner:
No
Category:
Research
Part of statistic:
Not part of statistic
Type of resource:
Text
Access Rights:
open access
Peer Reviewed:
Peer Reviewed
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic