Universität Wien
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070212 UE Course on Methodology - Introduction to DH Tools and Methods (Skills I) (2025S)

5.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work
Mo 03.03. 09:45-13:00 Seminarraum 18 Kolingasse 14-16, OG02

Details

max. 25 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 17.03. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Monday 31.03. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Monday 28.04. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Monday 12.05. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Monday 26.05. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Monday 23.06. 09:45 - 13:00 Seminarraum 18 Kolingasse 14-16, OG02

Information

Aims, contents and method of the course

The correct handling of data is at the heart of the Digital Humanities. Practical skills – from data cleaning to data analysis and visualization – are the prerequisite for independent work in the field as well as the basis for an informed dialogue with professional data scientists and software developers. The course will introduce students to the basics of the Python programming language and its most important libraries, thereby leading them towards their use for their own projects. – No previous programming skills are required. All students are asked to bring their own laptops (no tablets).
We will spend very limited time on matters regarding the use of the command line / shell and the file system of your computer. Students not familiar with those arguments are encouraged to work through tutorials like https://swcarpentry.github.io/shell-novice/.

Assessment and permitted materials

The final mark will be a combination of in-class participation (20%), homework assignments & quiz(es) (50%), and the final project (30%). Grading criteria will be communicated during the course.

Minimum requirements and assessment criteria

Attendance is required, and regular participation is the key to completing the course. Assignments and the final project must be submitted on time.

Examination topics

There is no examination for the course, but there will be quizzes.

Reading list

Readings and resources will be made available during the course. For orientation, you can consult the Python-related lessons at: https://programminghistorian.org/en/lessons/

Association in the course directory

Schwerpunkt: Digital Humanities / Digitale Geschichtswissenschaft

MA Geschichte (Version 2019): PM1 Einführung in Themenfelder, Räume und Epochen, UE Methodenkurs (5 ECTS).

Last modified: We 22.01.2025 11:05