R. D. Veaux, Mahesh Agarwal, Maia Averett, Benjamin S. Baumer, Andrew Bray, T. Bressoud, Lance Bryant, Lei Cheng, Amanda Francis, R. Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, D. Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, P. Uhlig, Talitha M. Washington, Curtis L. Wesley, David L. White, Ping Ye
{"title":"数据科学本科课程指南","authors":"R. D. Veaux, Mahesh Agarwal, Maia Averett, Benjamin S. Baumer, Andrew Bray, T. Bressoud, Lance Bryant, Lei Cheng, Amanda Francis, R. Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, D. Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, P. Uhlig, Talitha M. Washington, Curtis L. Wesley, David L. White, Ping Ye","doi":"10.1146/annurev-statistics-060116-053930","DOIUrl":null,"url":null,"abstract":"The Park City Math Institute (PCMI) 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 U.S., 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.","PeriodicalId":413623,"journal":{"name":"arXiv: Other Statistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"165","resultStr":"{\"title\":\"Curriculum Guidelines for Undergraduate Programs in Data Science\",\"authors\":\"R. D. Veaux, Mahesh Agarwal, Maia Averett, Benjamin S. Baumer, Andrew Bray, T. Bressoud, Lance Bryant, Lei Cheng, Amanda Francis, R. Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, D. Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, P. Uhlig, Talitha M. Washington, Curtis L. Wesley, David L. White, Ping Ye\",\"doi\":\"10.1146/annurev-statistics-060116-053930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Park City Math Institute (PCMI) 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 U.S., 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.\",\"PeriodicalId\":413623,\"journal\":{\"name\":\"arXiv: Other Statistics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"165\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv: Other Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-statistics-060116-053930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Other Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1146/annurev-statistics-060116-053930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Curriculum Guidelines for Undergraduate Programs in Data Science
The Park City Math Institute (PCMI) 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 U.S., 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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