L I S 768
DIGITAL HUMANITIES ANALYTICS
Learn and apply introductory technology-related concepts and skills to plan, implement and assess data-driven projects in the humanities, social sciences and other fields. Topics include identifying relevant existing digitized materials, web scraping, text encoding, topic modeling, mapping, social network analysis and other approaches for collecting, analyzing and visualizing data.
Topics
- identifying relevant existing digitized materials
- web scraping
- text encoding
- topic modeling
- mapping
- social network analysis and other approaches for collecting
- analyzing and visualizing data
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026
Sources
- Course catalogue ↗2026-2027