070116 AR Methodological Workshop - DH Methods: Historical Inquiries with R (2019S)
Continuous assessment of course work
Labels
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).
- Registration is open from Fr 01.02.2019 09:00 to Mo 18.02.2019 12:00
- Registration is open from Fr 22.02.2019 09:00 to Th 28.02.2019 12:00
- Deregistration possible until Su 31.03.2019 23:59
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
MA ZGM: M2a Methodenworkshop
MA HPS: M 1.2, M 1.3
Last modified: Mo 07.09.2020 15:30