I am planning on teaching a course on data visualization to some Ph.D. students in the social sciences, and could use some ideas about designing the syllabus. If you have taken or taught such a course, I would especially value your input, but I would also love to hear from any among you who have experience doing data visualization.
To clarify, I expect to emphasize statistical graphics and (to some extent) multidimensional, large-n data display, while entirely avoiding "infographics." Also, Tufte -- at least The Visual Display of Quantitative Information
-- goes without saying.
I have some ideas of my own, but it I think it would be useful to gather from a wider range of experience before getting started. I've come up with a list of specific questions, but I would be happy to read any relevant suggestions.
= What is the best way to structure such a class? What topics need to be covered, and in what order?
= What book chapters and articles should students read? What are the canonical papers on statistical graphics?
= Are there any discipline-specific visualization papers from your area of interest that could serve as good (or bad) examples of designing graphics with a specific purpose in mind?
= I am expecting to have them work and develop projects in R
, but what types of weekly assignments and semester-long projects would be most useful?
= Are there good examples of such syllabi available online for reference? If any of you have taken such a course, what was useful, and what was not?
Thanks for your time and ideas!