EduPar主题

Geoffrey Fox
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引用次数: 0

摘要

我们描述了印第安纳大学数据科学项目,该项目有硕士、证书和博士辅修批准。我们注意到学生的种类繁多,从新系统的核心开发人员到使用数据密集型决策系统的分析师。我们描述了两门课程的教学经验,分别针对软件:http://bigdataopensourceprojects.soic.indiana.edu/和应用/算法:bigdatacoursespring2015.appspot.com/preview。所有这些课程都提供在线授课,并支持非住宿学生完全在线,住宿部分采用“翻转课堂”模式。我们描述了两种广泛使用的技术谷歌课程生成器和Microsoft Office Mix的经验。这两个都是有趣的不完整平台。我们描述了社会媒体(论坛)的使用和在线计算实验课程的支持。我们注意到我们所犯的各种错误,并讨论前进的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EduPar Keynote
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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