07:20 PM to 10:00 PM M
Peterson Hall 2408
Section Information for Spring 2023
In this course you will learn to use computational methods to create historical interpretations. You will work with historical data, which includes finding, gathering, manipulating, analyzing, visualizing, and arguing from datasets, with special attention to geospatial, textual, and network data. These methods will be taught primarily using programming languages for data analysis. While data analysis methods can be applied to many topics and time periods, they cannot be understood separate from how the discipline forms meaningful questions and interpretations, nor divorced from the particularities of the sources and histories of some specific topic. You will therefore work through a series of example problems using datasets from the history of the nineteenth-century United States, and then apply the methods to write a research paper using a dataset from your own historical field.
Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus, Non-Degree or Senior Plus.
Enrollment is limited to Graduate, Non-Degree or Undergraduate level students.
Students in a Non-Degree Undergraduate degree may not enroll.