070184 UE Methodological course - Digital Humanities Skills: Intro to GIS (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 08.02.2021 09:00 bis Mo 22.02.2021 14:00
- Anmeldung von Mi 24.02.2021 09:00 bis Fr 26.02.2021 14:00
- Abmeldung bis Mi 31.03.2021 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
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
Information
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.
Prüfungsstoff
No exam; evaluation will be based on participation and final projects.
Literatur
Reading and practice materials will be provided via the course website.
Zuordnung im Vorlesungsverzeichnis
SP Digital Humanities
DH-S IIMA Geschichte (2014): 3 ECTS
MA Geschichte (2019): 5 ECTS
DH-S IIMA Geschichte (2014): 3 ECTS
MA Geschichte (2019): 5 ECTS
Letzte Änderung: Fr 12.05.2023 00:13