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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 "pedagogy"
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...
Culture + Computation: New Syllabus in Cultural Analytics LLCU 614

Culture + Computation: New Syllabus in Cultural Analytics LLCU 614

  I am pleased to add this year’s syllabus for my graduate course, “LLCU 614, Cultural Analytics: The Computational Study of Culture.” The aim of the course is twofold: 1) to introduce students in the humanities to the computational and quantitative methods for studying culture in order to move beyond the use of anecdotal evidence and...