I would be most grateful to anyone here who might be willing to share examples of a syllabus (or ideas for one) for a course for undergraduates on data analysis for the humanities.
I haven't got it outlined anywhere online but I had success with a structure (aimed at Hums & Comp Sci cohort) that framed it around specific issues for the first half of semester (AI, invisible labour, bias in data etc) and then the second we did tasters of methods (text analysis, mapping etc)
This is decidedly the former. It reviews Python and descriptive statistics in the first few weeks, but it's really designed for students who have already had both of those things.
I've been encouraged to develop a course that will attract more humanities majors into my college's Data Science Program (www.ou.edu/cas/datascho...). It should be introductory.
My Spring 23 fits the bill—in a weird way. I didn't do that much coding, but could've by cutting corners. The goal was to do a survey of the payoffs, to entice students who may want to learn more of the techne later, or be more informed about their critiques. teaching.elotroalex.com/s23-intro-dh...
I think this would fit the bill. If the Data Science Program already has courses that teach stats and so forth, the goal is maybe not to duplicate those courses but to invite students in, by showing them how data analysis *could* illuminate the humanities, why it would be interesting, &c?
Agreed. And I think this is where (properly trained) humanities folks can do an enormous service to the university because they can lead with their native tongue. This course was also fun for the couple of data science students who came to learn said native tongue. Bonus points.
I’m glad to hear this!! We need it. Would be happy to talk to you about it. FWIW I get *very few* humanities students in my Intro
DH. Mostly SLIS, soc sci, other prof programs
