Universität Wien

070343 UE Methodological course - Collecting Data for the Humanities (2025S)

5.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work
Moodle
We 02.04. 16:45-20:00 Seminarraum 2, Währinger Straße 29 1.UG

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Block course with double sessions on Wednessday between 16:45 and 20:00 until 07.05.2025

  • Wednesday 05.03. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 19.03. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 26.03. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 09.04. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 30.04. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 07.05. 16:45 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

The aim of this course is to familiarise students with methods and principles of collecting, creating and formatting digital data for the use of digital humanities research. In this practice-based class, students will gain hands-on expierence with methods to collect data from the internet (webscraping), data annotation and OCR. Along the way we will discuss empirical and theoretical frameworks of data mining and data processing.

Students will acquire the necessary knowledge through hands-on work over the course of the semester, working in small teams to develop methods to collect data for a project of their own choice. They will present requirements, planned solutions, and finally an implementation of their data for a final project, which will also be documented in writing.

While no programming knowledge is required, it is advised for students to have prior knowledge of Python and a basic understanding of data structures.

Assessment and permitted materials

Active participation in class, small project-based exercises, project presentation and final project.

Minimum requirements and assessment criteria

Active participation in class (10%); homework assignments (50%); final project presentation (10%); final project written submission (30%).

Examination topics

- Theoretical frameworks of data mining and data processing
- (No)code approaches to OCR
- Automatically collect data from webpages
- Collecting data through web API’s
- Annotating data for Humanities research

Reading list

Available through Moodle

Association in the course directory

SP: Digital Humanities

MA Geschichte (2019): PM1 - Methodenkurs (5 ECTS)
MA Digital Humanities: DH-S II

Last modified: We 12.02.2025 14:46