L. Cassel, Don Goelman, Michael A. Posner, D. Dicheva, Christo Dichev
{"title":"Data Science for All: A Tale of Two Cities","authors":"L. Cassel, Don Goelman, Michael A. Posner, D. Dicheva, Christo Dichev","doi":"10.1145/3059009.3073000","DOIUrl":null,"url":null,"abstract":"In this poster the authors report on experiences in teaching an introductory course in Data Science at two different institutions. Their approaches were informed by the aims of their NSF-funded project: to provide insight on learning goals, central data science topics, content modules, and a framework for implementing a flipped classroom approach to introduce data science to students with various technical backgrounds. The authors, investigators on the grant mentioned above, are a collaborative team of computer scientists and a statistician working to create flipped material for an introductory data science class. After ITiCSE the materials described in the poster will continue to be available in Ensemble, at http://computingportal.org/datascienceflipped","PeriodicalId":174429,"journal":{"name":"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3059009.3073000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this poster the authors report on experiences in teaching an introductory course in Data Science at two different institutions. Their approaches were informed by the aims of their NSF-funded project: to provide insight on learning goals, central data science topics, content modules, and a framework for implementing a flipped classroom approach to introduce data science to students with various technical backgrounds. The authors, investigators on the grant mentioned above, are a collaborative team of computer scientists and a statistician working to create flipped material for an introductory data science class. After ITiCSE the materials described in the poster will continue to be available in Ensemble, at http://computingportal.org/datascienceflipped