King's College London

Research portal

Teaching on jupyter – using notebooks to accelerate learning and curriculum development

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)21-34
Number of pages14
JournalREGION
Volume7
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

King's Authors

Abstract

The proliferation of large, complex spatial data sets presents challenges to the way that regional science and geography more widely is researched and taught. Increasingly, it is not ‘just’ quantitative skills that are needed, but computational ones. However, the majority of undergraduate programmes have yet to offer much more than a one off ‘GIS programming’ class since such courses are seen as challenging not only for students to take, but for staff to deliver. Using the evaluation criterion of minimal complexity, maximal flexibility, interactivity, utility, and maintainability, we show how the technical features of Jupyter notebooks particularly when combined with the popularity of Anaconda Python and Docker enabled us to develop and deliver a suite of three ‘geocomputation’ modules to Geography undergraduates, with some progressing to data science and analytics roles.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454