Universität Wien

220077 UE UE Applied Data Analysis (2025W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Continuous assessment of course work

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

Information

Aims, contents and method of the course

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!

Assessment and permitted materials

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.

Minimum requirements and assessment criteria

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.

Examination topics

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

Reading list

Scripts and tutorials will be handed out in class.

Association in the course directory

Last modified: Tu 25.11.2025 14:26