An Open Workflow Environment to Support Learning Data Science

BOISVERT, Charles, DOMDOUZIS, Konstantinos and LOVE, Matthew (2016). An Open Workflow Environment to Support Learning Data Science. In: Apprentissage Instrumente de l’Informatique, Font-Romeu (France), 30 January - 2 February 2017.

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Abstract

The vast majority of visual tools to learn computing focus on imperative and object-oriented programming. This paper outlines a graphical tool and language which is makes functional programming accessible to inexperienced learners, while also supporting open access to the data and executable results for study and deployment. We believe that both the broadening of the range of programming paradigms and the open approach embedded in the tools make the materials valuable for learning.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: computer science education, open data, data science, workflow, functional programming
Departments: Arts, Computing, Engineering and Sciences > Computing
Related URLs:
Depositing User: Charles Boisvert
Date Deposited: 02 Feb 2017 11:25
Last Modified: 14 Jun 2017 23:13
URI: http://shura.shu.ac.uk/id/eprint/14850

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