Universität Wien FIND
Warning! The directory is not yet complete and will be amended until the beginning of the term.

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

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

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

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

Information

Aims, contents and method of the course

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.

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; 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).

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 participation and final projects.

Reading list

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

Association in the course directory

SP Digital Humanities
DH-S II

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

Last modified: We 21.04.2021 11:26