Introduction to methods in digital humanities

After this course the student understands the multiple ways in which methods benefit work within the digital humanities. She herself is able to use simple tools to both visualize as well as process data. In addition, she has attained knowledge of the fundamental concepts of programming, through which she can start to expand her capabilities in these fields. She also learns how open, reproducible research and publishing is done in practice. Further, the student also gains a general literacy on advanced computer science methods applicable to digital humanities, and when to apply them. Finally, she learns to apply all of the above in practice in a small concrete digital humanities project.

  • Introduction: three approaches to methods for digital humanists
  • Easy tools for visualization and exploration
    • Simple regular expressions
    • Practical case studies
  • Data processing
    • Different types of data, data quality, available open datasets
    • Fundamental concepts of programming for humanists
    • Practical case studies
  • Data analysis method literacy
    • Focus on understanding what they do and can do
    • What tools to use when
    • Practical case studies
  • Open, reproducible research and publishing in practice
  • Digital humanities project

Time: Thursdays, 14-16, Periods I & II, 8.9.2016-8.12.2016

Venue: ???

Teachers: Eetu Mäkelä, Antti Kanner, Emily Öhman & Mikko Tolonen

Max number of students: 35

Credits: 5