feedback on course list

[rachelslaybaugh]

Can you all review my first attempt at a course list here: https://github.com/SlaybaughLab/GroupResources/blob/master/general-resources/courses.md?

It would be great to get deletions and additions as appropriate. Thank you!

[mitchnegus]

I guess I would have two comments:

1. I don't know how relevant it is, but at least I thought the description of STAT 159 sounded like it might be something worth adding: (I'm considering taking this next semester, so if that happens I could probably provide a better perspective after that.)

"A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students will learn practical techniques and tools for producing statistically sound and appropriate, reproducible, and verifiable computational answers to scientific questions. Course emphasizes version control, testing, process automation, code review, and collaborative programming. Software tools may include Bash, Git, Python, and LaTeX." http://guide.berkeley.edu/courses/stat/

2. CS 169 looks like it might be oriented more toward commercial/service-based software development than what might be really useful to people interested in scientific software engineering. I could be wrong, and I certainly wouldn't go as far as to say it wouldn't provide useful skills, so if people feel differently or know more, I'm all ears.
   (Next semester's webpage: http://cs169.saas-class.org/)

[rachelslaybaugh]

@mnegus01 after screeners, can you make a pull request with what you have above? Maybe we can talk about it at next group meeting to decide what to say about it :)