This seminar introduces students to basic concepts of working with literary texts and working with data. Crossing the divisional boundaries of literary analysis and quantitative and computational reasoning, we'll learn how to develop a compelling research question, to explore the many methodologies for using computation to analyze literature, and to put our work in context of the long history of literature conceived of as data. We'll think broadly about the role of humanities in data science, and learn the importance of interpretation, exploration, iteration, creativity, analysis, and critique in both literary and quantitative work.
Applications will be accepted until the course is closed; for full consideration, please submit by November 18.
