220077 UE UE Applied Data Analysis (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 18.09.2023 09:00 bis Mi 20.09.2023 18:00
- Anmeldung von Do 21.09.2023 09:00 bis Mo 09.10.2023 09:00
- Abmeldung bis Mo 09.10.2023 09:00
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 10.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 17.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 24.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 31.10. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 07.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 14.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 21.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 28.11. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 05.12. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 12.12. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 09.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 16.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 23.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
- Dienstag 30.01. 15:00 - 16:30 Seminarraum 9, Währinger Straße 29 2.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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!
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
The homework assignments will cover the material discussed in the sessions.
Literatur
Scripts and tutorials will be handed out in class.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 08.09.2023 11:47