Eleven quick tips for running an interdisciplinary short course for new graduate students

Timothy E. Saunders, Cynthia Y. He, Patrice Koehl, Sharon Ong, Peter T.C. So

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Quantitative reasoning and techniques are increasingly ubiquitous across the life sciences. However, new graduate researchers with a biology background are often not equipped with the skills that are required to utilize such techniques correctly and efficiently. In parallel, there are increasing numbers of engineers, mathematicians, and physical scientists interested in studying problems in biology with only basic knowledge of this field. Students from such varied backgrounds can struggle to engage proactively together to tackle problems in biology. There is therefore a need to establish bridges between those disciplines. It is our proposal that the beginning of graduate school is the appropriate time to initiate those bridges through an interdisciplinary short course. We have instigated an intensive 10-day course that brought together new graduate students in the life sciences from across departments within the National University of Singapore. The course aimed at introducing biological problems as well as some of the quantitative approaches commonly used when tackling those problems. We have run the course for three years with over 100 students attending. Building on this experience, we share 11 quick tips on how to run such an effective, interdisciplinary short course for new graduate students in the biosciences.
Original languageEnglish
JournalPLOS Computational Biology
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Mar 2018
Externally publishedYes

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Saunders, Timothy E. ; He, Cynthia Y. ; Koehl, Patrice ; Ong, Sharon ; So, Peter T.C. / Eleven quick tips for running an interdisciplinary short course for new graduate students. In: PLOS Computational Biology. 2018 ; Vol. 14, No. 3.
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Eleven quick tips for running an interdisciplinary short course for new graduate students. / Saunders, Timothy E.; He, Cynthia Y.; Koehl, Patrice; Ong, Sharon; So, Peter T.C.

In: PLOS Computational Biology, Vol. 14, No. 3, 01.03.2018.

Research output: Contribution to journalArticleScientificpeer-review

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