070150 SE SE Seminar (PM 3) (2017W)

DH Methods: Historical Inquiries with R

10.00 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).

Registration is open from Fr 01.09.2017 00:00 to We 20.09.2017 12:00
Registration is open from Mo 09.10.2017 00:00 to We 11.10.2017 12:00
Deregistration possible until Tu 31.10.2017 23:59

Details

max. 25 participants

Language: English

Lecturers

Maxim Romanov

Classes (iCal) - next class is marked with N

no class november, 21

Tuesday 03.10. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 10.10. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 17.10. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 24.10. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 31.10. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 07.11. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 14.11. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 28.11. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 05.12. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 12.12. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 09.01. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 16.01. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 23.01. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10
Tuesday 30.01. 15:45 - 17:15 Seminarraum Geschichte 1 Hauptgebäude, 1.Stock, Stiege 10

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

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

MA Geschichte: Digital Humanities

Last modified: Mo 07.09.2020 15:30