Scalable Interdisciplinary Data Science Teaching at the University of Twente

Maurice  van Keulen; Christin  Seifert; Mannes  Poel; C Oudshoorn

Scalable Interdisciplinary Data Science Teaching at the University of Twente

Maurice van Keulen^*, Christin Seifert, Mannes Poel, C Oudshoorn

^*Corresponding author for this work

Health Technology & Services Research

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Abstract

Data scientists are in high demand in many disciplines and domains. This paper describes the data science course open to all master students of the University of Twente. We outline the main challenges of teaching a large and heterogeneous population of non-computer science students about data science and how we addressed them, as well as a historical perspective on how the course grew and evolved.

Original language	English
Number of pages	8
Journal	Berlin Journal of Data Science
Volume	1
Publication status	Published - Jan 2020

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title = "Scalable Interdisciplinary Data Science Teaching at the University of Twente",

abstract = "Data scientists are in high demand in many disciplines and domains. This paper describes the data science course open to all master students of the University of Twente. We outline the main challenges of teaching a large and heterogeneous population of non-computer science students about data science and how we addressed them, as well as a historical perspective on how the course grew and evolved.",

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AB - Data scientists are in high demand in many disciplines and domains. This paper describes the data science course open to all master students of the University of Twente. We outline the main challenges of teaching a large and heterogeneous population of non-computer science students about data science and how we addressed them, as well as a historical perspective on how the course grew and evolved.

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Scalable Interdisciplinary Data Science Teaching at the University of Twente

Abstract

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