Universität Wien

220077 UE UE Applied Data Analysis (2022W)

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

  • Wednesday 12.10. 13:15 - 16:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Wednesday 19.10. 13:15 - 16:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Wednesday 09.11. 13:15 - 16:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Wednesday 23.11. 13:15 - 16:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Wednesday 07.12. 13:15 - 16:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Wednesday 18.01. 13:15 - 16:15 Seminarraum 3, 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


Association in the course directory

Last modified: Th 20.10.2022 09:50