A look at existing courses teaching reproducible science?

[cboettig]

It might be a valuable exercise for our hackathon to summarize / review some of the existing course material on reproducible research (and related topics). It would be great to hear from @kbroman (I think you're coming, right?) about his course (Tools for Reproducible Research at U Wisconsin) and maybe also take a look at other instructors who have taught courses emphasizing reproducibility in some form (particulary those making their teaching material available online for reuse). I've come across a handful but collectively we can probably come up with more.

• Phil Stark's Reproducible and Collaborative Data science at UC Berkeley
• Jenny Bryan's Data wrangling, exploration, and analysis with R

Also might be good to consider courses or workshops aimed more generically at research programming skills that may tend to touch on this material. (e.g. perhaps software carpentry and/or data carpentry)

[pschloss]

Although my course isn't as awesome as the others you mention, I infused my grad-level programming for microbiologists with a fair amount of reproducible research material this semester and it went pretty well. I'd be happy to share my experience at the hackathon...

• Pat Schloss's MICRBIOL 612: Microbial Informatics at U of Michigan

[kbroman]

The Johns Hopkins/Coursera Data Science courses includes a course on reproducible research. The source for the lectures is on github.

[hlapp]

Perhaps we can use the Tuesday morning breakouts or afternoon unconference to collect that lessons learned from those efforts that we should heed in fleshing out our curriculum?