Universität Wien

070184 UE Methodenkurs - DH Methods: Historical Inquiries with R (2020S)

5.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work
Moodle

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

  • Monday 09.03. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 16.03. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 23.03. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 30.03. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 20.04. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 27.04. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 04.05. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 11.05. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 18.05. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 25.05. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 08.06. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 15.06. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 22.06. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Monday 29.06. 11:30 - 13:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7

Information

Aims, contents and method of the course

The course will offer a practical introduction into R programming language, which is currently one of the most popular choices of humanists interested in investigating humanities problems with computational methods. The course will have three main parts: first, you will be introduced to the basics of R; second, you will learn about main text analysis methods; three, you will work on your own text analysis project. The language of the course is English.

Assessment and permitted materials

Assessment will be based on class participation, homework assignments, and a final project (final projects can be prepared either individually or in groups).

Minimum requirements and assessment criteria

No prior programming experience is required, but familiarity with the command line and basic principles of programming will be beneficial.

Examination topics

No exam; evaluation will be based on the final project.

Reading list

Reading and practice materials will be provided via the course website.

Association in the course directory

SP Digital Humanities

SP Alte Geschichte, Mittelalter, Digital Humanities, Wirtschafts- und Sozialgeschichte

MA Geschichte (2014): 3 ECTS
MA Geschichte (2019): 5 ECTS

Last modified: Mo 07.09.2020 15:20