Universität Wien FIND

070184 UE Methodological course - Digital Humanities Skills: Intro to GIS (2021S)

5.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Prüfungsimmanente Lehrveranstaltung


Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").


max. 25 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Dienstag 02.03. 11:30 - 13:00 Digital
Dienstag 09.03. 11:30 - 13:00 Digital
Dienstag 16.03. 11:30 - 13:00 Digital
Dienstag 23.03. 11:30 - 13:00 Digital
Dienstag 13.04. 11:30 - 13:00 Digital
Dienstag 20.04. 11:30 - 13:00 Digital
Dienstag 27.04. 11:30 - 13:00 Digital
Dienstag 04.05. 11:30 - 13:00 Digital
Dienstag 11.05. 11:30 - 13:00 Digital
Dienstag 18.05. 11:30 - 13:00 Digital
Dienstag 01.06. 11:30 - 13:00 Digital
Dienstag 08.06. 11:30 - 13:00 Digital
Dienstag 15.06. 11:30 - 13:00 Digital
Dienstag 22.06. 11:30 - 13:00 Digital
Dienstag 29.06. 11:30 - 13:00 Digital


Ziele, Inhalte und Methode der Lehrveranstaltung

GIS, which stands for *geographical information system(s)*, has become an important tool of a historian --- to the point that scholars in many humanities disciplines talk about "spatial turns". Indeed, GIS allows us as historians to pay much closer attention to the spatial dimension in studying the past. To begin with, creating maps became so much easier now. Yet, more importantly, we can now map our data to understand spatial distribution of different phenomena --- and how this distribution changed over time; we can map data representing different phenomena and study how they may have affected each other; we can map connections and study how physical space affects the formation of networks; and so much more. This course will focus on the use of the programming language R which shines when it comes to data analysis and creating robust visualizations. The course will consist of three main parts. Part I will introduce you to the basics of R and its philosophy of "tidy data". Part II will focus on specific methods and techniques of spatial analysis. Part III will require you to focus on your own research projects. The language of the course is English.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Assessment will be based on class participation, homework assignments, and a final project (final projects can be prepared either individually or in groups; ideally, your final project should be directly connected to research projects that you carry out for other courses or for your BA, MA, or PhD theses).

Mindestanforderungen und Beurteilungsmaßstab

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


No exam; evaluation will be based on participation and final projects.


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

Zuordnung im Vorlesungsverzeichnis

SP Digital Humanities

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

Letzte Änderung: Mi 21.04.2021 11:26