{"title":"EduPar Keynote","authors":"Geoffrey Fox","doi":"10.1109/IPDPSW.2015.177","DOIUrl":null,"url":null,"abstract":"We describe the Indiana University Data Science program which has a Masters, Certificate and PhD minor approved. We note the wide variety of students from hard core developers of new systems to analysts using data-intensive decision systems. We describe experience teaching two courses aimed at software:http://bigdataopensourceprojects.soic.indiana.edu/ and applications/algorithmshttps://bigdatacoursespring2015.appspot.com/preview respectively.All these courses deliver lectures online and support both non-residential students completely online with residential sections operating in \"flipped classroom\" mode. We describe experience with two broadly available technologies Google Course Builder and Microsoft Office Mix. These are both interesting incomplete platforms. We describe use of social media (forums) and support of online computing laboratory sessions. We note various mistakes we made and discuss way forward.","PeriodicalId":340697,"journal":{"name":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2015.177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We describe the Indiana University Data Science program which has a Masters, Certificate and PhD minor approved. We note the wide variety of students from hard core developers of new systems to analysts using data-intensive decision systems. We describe experience teaching two courses aimed at software:http://bigdataopensourceprojects.soic.indiana.edu/ and applications/algorithmshttps://bigdatacoursespring2015.appspot.com/preview respectively.All these courses deliver lectures online and support both non-residential students completely online with residential sections operating in "flipped classroom" mode. We describe experience with two broadly available technologies Google Course Builder and Microsoft Office Mix. These are both interesting incomplete platforms. We describe use of social media (forums) and support of online computing laboratory sessions. We note various mistakes we made and discuss way forward.
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