On Tue, Apr 21, 2015 at 02:08:26PM -0400, Karen Cranston wrote:
> I've been really impressed with Mine ??etinkaya-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].
there's also a "Reproducible Research" module on Coursera here:
https://www.coursera.org/course/repdata
This is part of their "Data Science" curriculum, which isn't an undergrad
programme, but it's "software carpentry type skills", and I'd recommend
it to people who e.g. want to firm up what they've learned at a workshop.
Best regards, Jan
> 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
> >
> >
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> >
> > http://lists.software-carpentry.org/mailman/listinfo/discuss_lists.software-carpentry.org
> >
>
>
>
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