136014 UE Data Visualization in the Digital Humanities (2021W)

5.00 ECTS (2.00 SWS), SPL 13 - Finno-Ugristik, Nederlandistik, Skandinavistik und Vergl.Literaturw.

Prüfungsimmanente Lehrveranstaltung

DIGITAL

Moodle

An/Abmeldung

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

Anmeldung von Mi 01.09.2021 09:00 bis Mi 29.09.2021 23:59
Abmeldung bis So 31.10.2021 23:59

Details

max. 25 Teilnehmer*innen

Sprache: Englisch

Lehrende

Theresa Matzinger

Termine (iCal) - nächster Termin ist mit N markiert

The course will be held online.

Course dates:

15.10.2021, 14:00-19:00
19.11.2021, 14:00-19:00
17.12.2021, 14:00-19:00
21.01.2022, 14:00-19:00

    
    Freitag
    15.10.
    14:00 - 19:00
    Digital
    
    Freitag
    19.11.
    14:00 - 19:00
    Digital
    
    Freitag
    17.12.
    14:00 - 19:00
    Digital
    
    Freitag
    21.01.
    14:00 - 19:00
    Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Be it in academia or in everyday contexts, we are surrounded by all kinds of graphs, charts, and other visualizations of data. But what makes a good visualization and how can we create such visualizations ourselves?

This course gives an introduction to data visualization techniques in the digital humanities.

Students will be made familiar with:
• basic principles of human visual perception and processing.
• basic theoretical concepts of how to design informative and reader-friendly visualizations.
• various types of static and interactive visualizations, such as bar charts, point, line and violin plots, heat maps, word clouds, maps, networks, trees, or timelines.
• the programming language R and relevant R packages for data visualization.

Students will do plenty of hands-on exercises in R, in which they will practice creating different types of data visualizations.

Art der Leistungskontrolle und erlaubte Hilfsmittel

• Regular homework assignments: 4 x 20 points
• In-class participation: 20 points

Mindestanforderungen und Beurteilungsmaßstab

In this course, we will work with the programming language R, which is a versatile tool for data visualization and analysis. No preliminary knowledge of R is required, but having some experience in any programming language will certainly be beneficial.

The grading scale for the course will be:

90-100 points: sehr gut
80-89 points: gut
70-79 points: befriedigend
60-69 points: genügend
0-59 points: nicht genügend

Prüfungsstoff

Completion of in-class assignments and homework assignments, active contribution to discussions in class.

Literatur

To be announced in class.

Zuordnung im Vorlesungsverzeichnis

DH-S II
S-DH (Cluster III: Theater, Film und Medien)

Letzte Änderung: Fr 12.05.2023 00:16