Computational History - HIST2025
  • Overview
  • Syllabus
  • Instructions
  • Intro to R
  • Case-studies
    • The Paisley Prisoners
    • The State of the Union Speeches
    • The Tudor Network of Letters
  • Other sources
  • Further readings

Syllabus

The course revolves around three main themes:

  • Classic Statistics: Descriptive statistics, uncertainty, correlation and regression analysis.

  • Computational Text Analysis: Digital corpus management, word frequency and dictionary methods, text classification, topic models and sentiment analysis.

  • Visualising spatial information using GIS (Geographic Information Systems) tools.

  • Social Network Analysis: visualising social networks, global and local metrics and community detection.