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

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work
REMOTE
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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

  • Friday 15.10. 14:00 - 19:00 Digital
  • Friday 19.11. 14:00 - 19:00 Digital
  • Friday 17.12. 14:00 - 19:00 Digital
  • Friday 21.01. 14:00 - 19:00 Digital

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

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

Minimum requirements and assessment criteria

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

Examination topics

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

Reading list

To be announced in class.

Association in the course directory

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

Last modified: Th 04.07.2024 00:13