200033 PS Introductory Seminar Social Psychology (2011W)
Social network analysis
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 Fr 16.09.2011 08:00 to Fr 30.09.2011 17:00
- Deregistration possible until Su 30.10.2011 17:00
Details
max. 40 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 14.10. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 21.10. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 28.10. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 04.11. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 11.11. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 18.11. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 25.11. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 02.12. 15:15 - 17:00 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
- Friday 09.12. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 16.12. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 13.01. 15:00 - 16:30 Hörsaal G Psychologie, Liebiggasse 5, 2. Stock
- Friday 20.01. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
- Friday 27.01. 15:00 - 16:30 Hörsaal D Psychologie, NIG 6.Stock A0624
Information
Aims, contents and method of the course
How do personal relationships change within groups? Which persons or nodes might be regarded as key figures or gatekeepers? What causes a network to fragment? This course introduces methods and visualisation procedures based on certain mathematical models that allow to deal with such typical questions in a reasonable and empirically reproducible way. Respective examples based on varying data sources and instruction manuals will be processed by the teams.
Assessment and permitted materials
Involvement, presentation, discussion
Minimum requirements and assessment criteria
Basic knowledge of formal concepts, approaches and models in Social Network Analysis. Proper survey and data processing. Competence in selecting appropriate procedures, performing analysis, visualisation and interpretation of results.
Examination topics
Course teams will elaborate theoretically grounded concepts, study given cases or conduct simple field surveys, then analyse respective sources. Presentation, panel and e-forum discussion. Occasional support by external coaches. If possible - international exchange with similar courses in case.
Reading list
Abhängig von den wechselnden Themen des jeweils aktuellen Semesters. Für jedes Thema wird eine gesonderte Anleitung inkl. Einführung und Literaturliste bereit gestellt.
Association in the course directory
70341
Last modified: Mo 07.09.2020 15:37