Computational literacy
  • 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
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Course instances

This page organises actual instances of the course

  • University of Helsinki

    • fall 2024

    • fall 2023

    • fall 2022

    • fall 2021

    • fall 2020

    • fall 2019

    • fall 2018

    • fall 2017

    • fall 2016

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