SUMMARY.md

Table of contents

• Computational literacy for the humanities and social sciences
• Three approaches to computational methods
• History of humanities computing
• Data processing: fundamental concepts of programming for humanists and social scientists
• Data processing: regular expressions
• Data analysis: fundamental concepts of statistics
  • Understanding and describing groups
  • What is average?
  • Uncertainty in describing groups
  • What is a sensible group to describe?
  • Comparing groups
  • Understanding relationships
• Digging into a method: topic modeling
• Final project
• Where to continue?
• Course instances
  • Helsinki fall 2021
  • Helsinki fall 2020
  • Helsinki fall 2019
  • Helsinki fall 2018
• Holding area for unfinished content
  • Data
  • Easy tools for acquiring, processing and exploring data
  • Computational data analysis method literacy
  • Open, reproducible research and publishing