Curriculum Guidelines for Undergraduate Programs in Data Science
The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science
Year of publication: |
2017
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Authors: | De Veaux, Richard D. ; Agarwal, Mahesh ; Averett, Maia ; Baumer, Ben ; Bray, Andrew ; Bressoud, Thomas ; Bryant, Lance ; Cheng, Lei ; Francis, Amanda ; Gould, Robert ; Kim, Albert ; Kretchmar, Matthew ; Lu, Qin ; Moskol, Ann ; Nolan, Deborah ; Pelayo, Roberto ; Raleigh, Sean ; Sethi, Ricky ; Sondjaja, Mutiara ; Tiruviluamala, Neelesh ; Uhlig, Paul ; Washington, Talitha ; Wesley, Curtis ; White, David ; Ye, Ping |
Publisher: |
[S.l.] : SSRN |
Description of contents: | Abstract [papers.ssrn.com] |
Saved in:
Extent: | 1 Online-Ressource |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: Annual Review of Statistics and Its Application, Vol. 4, Issue 1, pp. 15-30, 2017 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 2017 erstellt Volltext nicht verfügbar |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014122363
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