Universität Wien

080107 UE Übung: Coding, Automating, and Visualizing Art History (2024W)

5.00 ECTS (2.00 SWS), SPL 8 - Kunstgeschichte und Europäische Ethnologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Do 12.12. 14:00-15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27

An/Abmeldung

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

Details

Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 03.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 10.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 17.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 24.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 31.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 07.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 14.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 21.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 28.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 05.12. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 09.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 16.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 23.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
  • Donnerstag 30.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is designed for Bachelor's and Master's students in Art History interested in learning coding, with a focus on data analysis and visualization. You'll learn Python to automate repetitive tasks and generate visual representations of art historical data. Ideal for students attending the seminar "Networks of the Avantgardes - Art History with Digital Visualizations", or anyone curious about starting coding. No prior experience is needed. Bringing a laptop is recommended (not applicable for the first session). We'll guide you through installing free software to enhance your learning experience.

· Contents:
The course will cover (subject to changes based on time constraints as well as participants' interests):
1. Introduction
2. Python Basics
3. Basic Statistics and Plotting
4. Social Network Analysis
5. Regression and Clustering
6. Eye Tracking Data Visualization
7. Further Topics in Data Science

· Language:
Course materials will be presented in English, but participants may choose to communicate with the instructor and complete assignments in either English or German.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Examination and Grading:
Assessment will be based on a series of coding assignments distributed throughout the semester (80%) and a presentation (20%).

Mindestanforderungen und Beurteilungsmaßstab

Minimum requirement:
- Compulsory attendance. In the event of an absence due to illness or an exceptional family situation, written proof must be presented.
- All partial achievements must be completed in order to successfully complete the course.

Assessment criteria:
90-100: Very Good (1)
80-89: Good (2)
70-79: Satisfactory (3)
60-69: Sufficient (4)
0-59: Failed (5)

Prüfungsstoff

The examination material is the content of the course.

Literatur

Slides

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 31.10.2024 20:25