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Model Curricula for Data Science EDISON Data Science Framework

机译:数据科学爱迪生数据科学框架的模型课程

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This paper presents the Data Science Model Curriculum (MC-DS) that is based on the Data Science Competence Framework and Data Science Body of Knowledge defined in EDISON Data Science Framework (EDSF). MC-DS follows a competence-based curriculum design approach grounded in the Data Science competences (CD-DS) defined in EDSF and correspondingly defined Learning Outcomes (LO). The DS-BoK provides a basis for structuring the proposed MC-DS by Knowledge Area Groups (KAG) defined in correspondence with the CF-DS competence groups. ECTS point allocation to specific areas is recommended for Master's and Bachelor's program covering professional profile groups.
机译:本文介绍了基于Data Science Propersitie框架和DEVISON数据科学框架(EDSF)中定义的数据科学能力框架和数据科学主体的数据科学模型课程(MC-DS)。 MC-DS遵循基于能力的课程设计方法,该课程设计方法在EDSF中定义的数据科学竞争力(CD-DS)以及相应定义的学习结果(LO)中。 DS-Bok为通过与CF-DS能力组相对应的知识区域组(KAG)构建所提出的MC-DS的基础。建议为硕士和单独的程序涵盖专业资料组的硕士和学士学位课程分配。

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