I've been really impressed with Mine Çetinkaya-Rundel at Duke who teaches intro stats using RStudio and literate programming [1]. There is a nice summary of the approach in this article [2]. Mine and I (and Jenny!) were at a reproducible science workshop last fall, which is where I learned about this course. Materials on GitHub [3].
Cheers, Karen [1] https://stat.duke.edu/~mc301/teaching/ [2] http://chance.amstat.org/2014/09/reproducible-paradigm/ [3] https://github.com/mine-cetinkaya-rundel/sta101_sp15 On Tue, Apr 21, 2015 at 1:43 PM, Robert M. Flight <[email protected]> wrote: > Does anyone know of any examples where software carpentry type skills have > been integrated into an undergraduate science curriculum? It seems to me > that the various skills taught in software carpentry could be integrated > into an undergraduate science curriculum if done correctly, given the > prevalence of data manipulations that are frequently performed in > undergraduate science labs (chemistry titrations / conversions, physics > equation fitting, biology number manipulations), at least in my experience > over 10 years ago. I don't imagine that things have changed, and have > likely gotten worse. > > I know that Jenny Bryan is integrating a lot of this stuff into her > advanced stats class (which is awesome), but the more I think about it, it > seems that it would be useful to introduce things earlier rather than later. > > I would be very appreciative if anyone has any specific examples from > their own or others teaching. > > Regards, > > -Robert > > Robert M Flight, PhD > Bioinformatics Research Associate > Resource Center for Stable Isotope Resolved Metabolomics > Markey Cancer Center > University of Kentucky > Lexington, KY > > Twitter: @rmflight > Web: rmflight.github.io > EM [email protected] > PH 502-509-1827 > > The most exciting phrase to hear in science, the one that heralds new > discoveries, is not "Eureka!" (I found it!) but "That's funny ..." - Isaac > Asimov > > > _______________________________________________ > Discuss mailing list > [email protected] > > http://lists.software-carpentry.org/mailman/listinfo/discuss_lists.software-carpentry.org > -- ~~~~~~~~~~~~~~~~~~~~~~~ [email protected] @kcranstn ~~~~~~~~~~~~~~~~~~~~~~~
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