Theories and Practices of Data Visualization


Combination of lectures, labs, and workshops on the theories and practices of data visualization, focused on creative applications of advanced tools and software, including introduction to data scraping, data cleaning, and elementary coding. Students will use innovative strategies to develop new databases with imperfect information, combining qualitative and quantitative data on the interface of the humanities and the social sciences. Individual and collaborative research projects will combine qualitative and quantitative analysis with weekly feedback and assessment.
Curriculum Codes
  • R
  • STS
Cross-Listed As
  • ISS 366L
  • VMS 366L
Typically Offered
Fall and/or Spring