Curriculum Guidelines for Undergraduate Programs in Data Science

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 mathem...

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Veröffentlicht in:Annual review of statistics and its application 2017-03, Vol.4 (1), p.15-30
Hauptverfasser: De Veaux, Richard D, Agarwal, Mahesh, Averett, Maia, Baumer, Benjamin S, Bray, Andrew, Bressoud, Thomas C, Bryant, Lance, Cheng, Lei Z, Francis, Amanda, Gould, Robert, Kim, Albert Y, Kretchmar, Matt, Lu, Qin, Moskol, Ann, Nolan, Deborah, Pelayo, Roberto, Raleigh, Sean, Sethi, Ricky J, Sondjaja, Mutiara, Tiruviluamala, Neelesh, Uhlig, Paul X, Washington, Talitha M, Wesley, Curtis L, White, David, Ye, Ping
Format: Artikel
Sprache:eng
Schlagworte:
computer science education
curriculum
statistics education
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Zusammenfassung: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.
ISSN:2326-8298
2326-831X
DOI:10.1146/annurev-statistics-060116-053930