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This sounds like a gap in the curriculum that could be filled by grad students. I'm not in CS, but I know that the bioinformatics students have organized a cou
by dubya 12y ago
This sounds like a gap in the curriculum that could be filled by grad students. I'm not in CS, but I know that the bioinformatics students have organized a course that covers some basics of the unix command line tools, probably because data conversion is a big part of most projects.
There's also "Best practices for scientific computing" (http://arxiv.org/abs/1210.0530 http://arxiv.org/abs/1210.0530) that covers some of the same ground, and physics departments usually have a scientific computing course as well.
Also, if it's really a one-off use of something, the department IT person could probably do it for you.
- kylebgorman 12y agoThe curriculum goes far beyond the knowledge of most IT professionals (not to mention our current graduate students), as it is focused on research; IT pros don't normally know much about, say, Python libraries for machine learning or signal processing.
- dubya 12y agoThey won't know how to use specific libraries, but they can sometimes help with things like how to install iPython on a Mac or Windows machine. It does seem like some of this would make a good online course. There's some good stuff here http://faculty.washington.edu/rjl/classes/am583s2013/notes/index.html http://faculty.washington.edu/rjl/classes/am583s2013/notes/i... which goes with the "High performance scientific computing" Coursera course, and of course there's the Software Carpentry site.