Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pcbi.1006039
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dc.titleEleven quick tips for running an interdisciplinary short course for new graduate students
dc.contributor.authorSaunders T.E.
dc.contributor.authorHe C.Y.
dc.contributor.authorKoehl P.
dc.contributor.authorOng L.L.S.
dc.contributor.authorSo P.T.C.
dc.date.accessioned2019-11-08T06:42:55Z
dc.date.available2019-11-08T06:42:55Z
dc.date.issued2018
dc.identifier.citationSaunders T.E., He C.Y., Koehl P., Ong L.L.S., So P.T.C. (2018). Eleven quick tips for running an interdisciplinary short course for new graduate students. PLoS Computational Biology 14 (3) : e1006039. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1006039
dc.identifier.issn1553734X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/161886
dc.description.abstractQuantitative 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. ? 2018 Public Library of Science. All Rights Reserved.
dc.rightsCC0 1.0 Universal
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.sourceUnpaywall 20191101
dc.subjectArticle
dc.subjectbiology
dc.subjectbiomedicine
dc.subjectengineer
dc.subjectexperience
dc.subjectgraduate student
dc.subjecthuman
dc.subjectinterdisciplinary short course
dc.subjectmathematician
dc.subjectnamed groups by occupation
dc.subjectphysical scientist
dc.subjectpostgraduate education
dc.subjectquantitative analysis
dc.subjectresearch
dc.subjectscientist
dc.subjectSingapore
dc.subjectskill
dc.subjectacademic achievement
dc.subjectcurriculum
dc.subjecteducation
dc.subjectengineering
dc.subjectinterdisciplinary education
dc.subjectprocedures
dc.subjectstudent
dc.subjectBiological Science Disciplines
dc.subjectBiology
dc.subjectComputational Biology
dc.subjectCurriculum
dc.subjectEducation, Graduate
dc.subjectEngineering
dc.subjectHumans
dc.subjectInterdisciplinary Studies
dc.subjectStudents
dc.typeArticle
dc.contributor.departmentBIOLOGY (NU)
dc.contributor.departmentDEPT OF BIOLOGICAL SCIENCES
dc.description.doi10.1371/journal.pcbi.1006039
dc.description.sourcetitlePLoS Computational Biology
dc.description.volume14
dc.description.issue3
dc.description.pagee1006039
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