Data science technology course: The design, assessment and computing environment perspectives
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-11558-8.pdf
Reference25 articles.
1. Adams, J. C. (2020). Creating a balanced data science program. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, pp. 185-191.
2. Bart, A.C., Kafura, D., Shaffer, C. A., & Tilevich, E. (2018). Reconciling the promise and pragmatics of enhancing computing pedagogy with data science. In SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education, Association for Computing Machinery, Inc, vol 2018-January, pp 1029–1034.
3. Baumer, B. (2015). A data science course for undergraduates: Thinking with data. American Statistician, 69(4), 334–342.
4. Brunner, R. J., & Kim, E. J. (2016). Teaching data science. In Procedia computer science, elsevier b.v., (Vol. 80 pp. 1947–1956).
5. Çetinkaya-Rundel, M., & Ellison, V. (2020). A fresh look at introductory data science. Journal of Statistics Education, 2021(S1), 16–26.
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