Resources

All readings will be posted as pdfs to the class website. To access password-protected readings, you’ll be prompted to enter the user name <student> and password <seecritfilez>. Not so secret, eh?

A few notes about the weekly readings/screenings/listening exercises:

  • I believe we can better appreciate the complexity, relevance, and resonance of each of our weekly themes by approaching them from multiple theoretical, historical, practical, and creative directions. That’s why, for each week, I’ve put together a mini “anthology” rather than assigning a single definitive text. Yes, sometimes those reading lists might look intimidatingly long – but the total number of pages hardly ever exceeds 150 (and a lot of those pages are illustrated!), which is a more-than-reasonable workload for a graduate student. Plus, each text on that list is there because it has the potential to add a distinctive voice to our conversation (you should see the ridiculously long lists of readings that didn’t make the cut!).
  • That said, my selection of a particular text does not constitute an endorsement of it. Sometimes I choose texts that annoy me, or with which I disagree, for a few reasons: because they’re widely cited and I think it’d behoove you to be aware of them, because I want to allow you to exercise your own judgment, and because I’m pretty sure they’ll make for good conversation.
  • We will not address all the readings in our in-class discussions. Some readings are primarily factual, some are self-explanatory, some simply present interesting illustrations or case studies; we needn’t discuss these sorts of texts in-depth – but they’re still worth your time. They provide valuable nuance and color that will inform our discussions, shape your own understanding, and, ideally, inspire ideas for your own projects.

LINKS

Archive Links
Library Links
Lots more links re: databases, algorithms, etc.
Website for Archives | Libraries | Databases Fall 2012
Website for Archives | Libraries | Databases Fall 2014
Website for Bookshelves to Big Data Fall 2016
Website for Data Archive Infrastructure 2017