220077 UE UE Applied Data Analysis (2023W)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 18.09.2023 09:00 to We 20.09.2023 18:00
- Registration is open from Th 21.09.2023 09:00 to Mo 09.10.2023 09:00
- Deregistration possible until Mo 09.10.2023 09:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 10.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 17.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 24.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 31.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 07.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 14.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 21.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 28.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 05.12. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 12.12. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 09.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 16.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 23.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Tuesday 30.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
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 assignmentsTo 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%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.
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 need to actively participate in 80% of the sessions and complete at least 80% of the homework assignments to successfully pass the course.
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: Fr 08.09.2023 11:47