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

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Year of publication:	2017
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
Subject:	Lehrplan \| Curriculum \| Wirtschaftsstudium \| Graduate economics education \| Betriebswirtschaftsstudium \| Graduate business education
Description of contents:	Abstract [papers.ssrn.com]

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Extent:	1 Online-Ressource
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