Universität Wien FIND
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070116 AR Methodological Workshop - DH Methods: Historical Inquiries with R (2019S)

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

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 05.03. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 19.03. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 26.03. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 02.04. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 09.04. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 30.04. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 07.05. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 14.05. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 21.05. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 28.05. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 04.06. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 18.06. 15:00 - 16:30 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 25.06. 15:00 - 16:30 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. Following the general introduction, the course will cover a series of cases of how one can analyze textual, historical and spatial data with statistics-based and visual methods. We'll be using some tutorials from DataCamp (https://www.datacamp.com/).

Assessment and permitted materials

Assessment will be based on class participation, homework assignments, and a final group project. The homework assignments will include the online tutorials offered by DataCamp (https://www.datacamp.com/).

Minimum requirements and assessment criteria

No prior programming experience is required.

Examination topics

Reading list

Reading materials will be provided via Moodle.

Association in the course directory

MA Geschichte: Schwerpunkt Digital Humanities
MA ZGM: M2a Methodenworkshop
MA HPS: M 1.2, M 1.3

Last modified: Fr 23.08.2019 15:07