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Welcome to .txtLAB, a laboratory for cultural analytics at McGill University directed by Andrew Piper. We explore the use of computational and quantitative approaches towards understanding literature and culture in both the past and present. Our aim is to engage in critical and creative uses of the tools of network science, machine learning, or image processing to think about language, literature, and culture at both large and small scale.
Posts tagged "syllabus"
LLCU 255: Intro to Literary Text Mining -- New Syllabus 2017

LLCU 255: Intro to Literary Text Mining — New Syllabus 2017

Less but better. That’s the essentialist’s motto and that’s the one I use every year when I revise my syllabus. I keep removing things and students keep learning more every year. While there is clearly a ceiling for this approach, it works remarkably well as a pedagogical tactic. Here’s the full syllabus. This year’s class...
Literary Text Mining Syllabus

Literary Text Mining Syllabus

It’s that time of year and so I’m posting my latest syllabus of my data and literature class. I have found over the years that every time I create a new class I always start with too much and gradually winnow as the years go by (until there is nothing left and I teach a...

Intro to Literary Text Mining

It’s that time of year, so I’ve gone ahead and posted my new syllabus for Introduction to Literary Text Mining. It’s still a work in progress and probably always will be. However I’m beginning to get a sense of the various contours/spaces of the field and the ways those can be taught to students. The...