Hi Adam,
I have run semester long versions of SWC in Python
(http://www.programmingforbiologists.org/programming/) and Data
Carpentry in R (http://www.datacarpentry.org/semester-biology/). They
were 16 week classes, but with fewer hours per class, so they add up to
about the same number of contact hours. Hopefully those syllabi and
resources will be of some use.
Regarding funding, both of these courses were included in the broader
impacts type sections of grants, which made it possible to support some
of this work.
Best,
Ethan
On 02/15/2016 09:39 AM, Adam Obeng wrote:
To revive the topic:
I'm teaching a summer class at Columbia (3 hours/2x per week/6 weeks),
which is titled "Social Statistics", but into which I plan to
integrate SWC material. This happened partly for fortuitous reasons: I
don't have a separate lab session, so I get a computer lab for every
class (why not live code); the existing syllabus uses Stata (why not
rewrite the whole thing as R in jupyter notebooks); I have the same
latitude over the "lab" content as I would if I was a TA.
Any advice on putting together a syllabus like this would be
appreciated! In particular, I'm trying to work out how much time to
spend on basic R concepts vs. cookbook recipes for particular
analyses. I don't think I'll have time for anything outside of the R
and Reproducible R lessons, except for a bare minimum shell stuff
(paths, etc.). I also anticipate that it might be a challenge to
separate out the stats and programming concepts, so that the students
understand that the R way of doing something is an implementation
rather than a definition.
Also, any heads-up on whether there is funding available somewhere to
support developing this?
Cheers,
Adam
On Sat, Oct 4, 2014, at 08:59 PM, Daniel Chen wrote:
Is anyone writing about this? otherwise I will since I asked the
question :p
On Tue, Sep 30, 2014 at 7:54 AM, Greg Wilson
<[email protected]
<mailto:[email protected]>> wrote:
Would someone like to summarize this thread in a blog post? I've
learned a lot, and I'm sure other people would too...
--
Greg Wilson
Software Carpentry | http://www.software-carpentry.org/
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