Books as Data

3.0 credits · Undergraduate

A fast-paced, intro-level class on data science, text analysis, and AI in the humanities. The course examines how computational methods can help analyze millions of books; how data and machine learning have changed the questions humanists can ask (and answer); what it means to do research in literary studies, history, and related disciplines; and what challenges lie ahead. Assigned readings drawn mostly from recent research papers. Technical material introduced as needed. Suitable for students in all programs and colleges. No programming or other prerequisites.