250168 Grundlagen multivariater Analyseverfahren und ihre Umsetzung mit der Statistiksoftware „R“ (S) (WiSe 2018/2019)

Contents, comment

Das Seminar dient der Einführung in die computergestützte Auswertung empirischer Daten. Dabei kommt die Open-Source-Statistiksoftware R zur Anwendung. Im Seminar werden die Studierenden sowohl in die zugrundeliegenden statistischen Verfahren als auch in die entsprechenden Anwendungsschritte in R eingeführt. Begleitende Übungen mit der Statistiksoftware R dienen der praktischen Umsetzung der Lerninhalte am Computer.

In dieser Veranstaltung findet ein Platzvergabeverfahren statt. Bitte informieren Sie sich hier über den Ablauf: http://www.uni-bielefeld.de/erziehungswissenschaft/bie/faq.html

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
23-MeWi-HM5 Practical Course - Dealing with Media Praxis-Umgang mit Medien Lehrveranstaltung I Graded examination
Student information
Lehrveranstaltung II Study requirement
Student information
Lehrveranstaltung III Study requirement
Student information
Lehrveranstaltung IV Study requirement
Student information
25-ME3 Research Project Forschungsprojekt E2: Angewandte Forschungsmethoden der quantitativen/ qualitativen Sozialforschung Study requirement
Student information
25-ME3-IT Research Project Forschungsprojekt E2: Angewandte Forschungsmethoden der quantitativen/ qualitativen Sozialforschung Study requirement
Student information
30-MeWi-HM4 Methods of Media Research Methoden der Medienforschung Lehrveranstaltung I Graded examination
Student information
Lehrveranstaltung II Study requirement
Student information
Lehrveranstaltung III Study requirement
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
E-Learning Space
E-Learning Space
Registered number: 30
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
eKVV participant management:
eKVV participant management is used for this course.
Show details
Limitation of the number of participants:
Limited number of participants: 40
Address:
WS2018_250168@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_133338010@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 0
Open email archive
Last update basic details/teaching staff:
Wednesday, September 26, 2018 
Last update times:
Wednesday, July 11, 2018 
Last update rooms:
Wednesday, July 11, 2018 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Department
Faculty of Educational Science
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=133338010
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
133338010