Universität Wien
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220077 UE UE Applied Data Analysis (2021W)

Continuous assessment of course work
MIXED

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

The first session will take place on site (Seminarraum 2, Währinger Str. 29), all other sessions will be conducted online.

  • Wednesday 13.10. 15:00 - 18:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 10.11. 15:00 - 18:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 24.11. 15:00 - 18:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 15.12. 15:00 - 18:00 Seminarraum 2, Währinger Straße 29 1.UG
  • Wednesday 19.01. 15:00 - 18:00 Seminarraum 2, Währinger Straße 29 1.UG

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 analyse 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:
- 60% homework assignments
- 40% in-class exercises

Two homework assignments:
Homework 1: 25%
Homework 2: 35%

To receive a positive grade for the course, students must submit both homework assignments before the deadline and achieve an average of 50% of the total homework assignment points.

Online attendance will be evaluated via different Moodle tools.

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%

Class attendance is mandatory. You are allowed to miss only one session (3 hours). Attendance of the first session (on site) is mandatory for all.

Examination topics

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

Reading list

Will be announced in the first session.

Association in the course directory

Last modified: Th 09.09.2021 19:28