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dc.contributor.authorAnderson, Daniel
dc.contributor.authorJones, Ross D.
dc.contributor.authorWeiss, Ron
dc.date.accessioned2020-05-18T18:43:00Z
dc.date.available2020-05-18T18:43:00Z
dc.date.issued2019-05
dc.identifier.issn1939-7267
dc.identifier.issn1939-3784
dc.identifier.urihttps://hdl.handle.net/1721.1/125289
dc.description.abstractSynthetic biology requires students and scientists to draw upon knowledge and expertise from many disciplines. While this diversity is one of the field’s primary strengths, it also makes it challenging for newcomers to acquire the background knowledge necessary to thrive. To address this gap, we developed a course that provides a structured approach to learning the biological principles and theoretical underpinnings of synthetic biology. Our course, Principles of Synthetic Biology (PoSB), was released on the massively open online course platform edX in 2016. PoSB seeks to teach synthetic biology through five key fundamentals: (i) parts and layers of abstraction, (ii) biomolecular modeling, (iii) digital logic abstraction, (iv) circuit design principles and (v) extended circuit modalities. In this article, we describe the five fundamentals, our formulation of the course, and impact and metrics data from two runs of the course through the edX platform.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1521925)en_US
dc.language.isoen
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionof10.1093/SYNBIO/YSZ010en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceOxford University Pressen_US
dc.titlePrinciples of synthetic biology: a MOOC for an emerging fielden_US
dc.typeArticleen_US
dc.identifier.citationAnderson, Daniel A. et al. “Principles of synthetic biology: a MOOC for an emerging field.” Synthetic Biology 4 (2019): ysz010 © 2019 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalSynthetic Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-19T12:23:05Z
dspace.date.submission2020-03-19T12:23:08Z
mit.journal.volume4en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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