220077 UE UE Applied Data Analysis (2022W)
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 19.09.2022 09:00 to We 21.09.2022 18:00
- Deregistration possible until Mo 31.10.2022 23:59
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 exercisesTwo 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.
- 60% homework assignments
- 40% in-class exercisesTwo 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.
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