Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

220077 UE UE Applied Data Analysis (2025W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

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

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 17.10. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 24.10. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 31.10. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 07.11. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 14.11. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 21.11. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 28.11. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 05.12. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 12.12. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 19.12. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 09.01. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 16.01. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 23.01. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02
  • Freitag 30.01. 11:30 - 13:00 Seminarraum 16, Kolingasse 14-16, OG02

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The main goal of the course is to introduce students to the quantitative methods for conducting meaningful inquiry in communication research and provide them with practical knowledge of available statistical software tools. The course will cover all steps of data analysis from preparing and cleaning data to the choice of analytical approaches, and interpretation of the results, using current software tools. Students will gain an overview of research intent and design, methodology and technique, format and presentation, and data management and analysis informed by commonly used statistical methods. At the end of this class, students will acquire necessary conceptual and practical knowledge to collect and analyze data based on own research questions and designs.
Attention: The courses VO Introduction to Data Analysis and UE Applied Data Analysis are linked!

Art der Leistungskontrolle und erlaubte Hilfsmittel

Grading: Regular homework assignments
To receive a positive grade for the course, students must submit all homework assignments before the deadlines and achieve an average of 50% of the total homework assignment points.

Mindestanforderungen und Beurteilungsmaßstab

Grading:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfying): 63 - 74,99%
D = 4 (Sufficient): 50 - 62,99%
F = 5 (Not Sufficient): 00 - 49,99%
To successfully pass the course active participation in the in-class exercises is needed. Therefore, class attendance is mandatory. You need to actively participate in 80% of the sessions and complete at least 80% of the homework assignments to successfully pass the course.
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Please be mindful that, due to our internal regulations, for a positive evaluation in any course within the Master's program in Communication Science, students must first be officially admitted to this study program. Therefore, students from other study programs, non-degree students or Erasmus students cannot receive a positive evaluation in these courses.

Prüfungsstoff

The homework assignments will cover the material discussed in the sessions.

Literatur

Scripts and tutorials will be handed out in class.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 25.11.2025 14:26