300035 Datenverarbeitung in Stata für fortgeschrittene Anwender (BS) (SoSe 2018)

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Längsschnittdatensätze stellen die Anwender meistens vor die Herausforderung, eine Vielzahl von Informationen verarbeiten zu müssen. Dieser Kurs möchte den Studierenden Werkzeuge in die Hand geben, die es ihnen ermöglichen, Datensätze für eigene Analysen effizient aufzubereiten. Als Beispieldatensätze werden das SOEP und TwinLife verwendet.

Requirements for participation, required level

Grundkenntnisse in Statistik und Stata

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Fr 12-17 X-D2-241 22.06.2018
weekly Sa 10-17 X-D2-241 23.06.2018
weekly Fr 12-17 X-D2-241 13.07.2018
weekly Sa 10-17 X-D2-241 14.07.2018

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Subject assignments

Module Course Requirements  
30-M-Soz-M7a Social Structure Analysis and Social Inequality a Sozialstruktur und soziale Ungleichheit a Seminar 1 Study requirement
Student information
Seminar 2 Study requirement
Student information
- Graded examination Student information
30-M-Soz-M7b Social Structure Analysis and Social Inequality b Sozialstruktur und soziale Ungleichheit b Seminar 1 Study requirement
Student information
Seminar 2 Study requirement
Student information
- Graded examination Student information
30-M-Soz-M7c Social Structure Analysis and Social Inequality c Sozialstruktur und soziale Ungleichheit c Seminar 1 Study requirement
Student information
Seminar 2 Study requirement
Student information
- Graded examination 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.

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Registered number: 17
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Limited number of participants: 20
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SS2018_300035@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Thursday, June 14, 2018 
Last update times:
Wednesday, April 11, 2018 
Last update rooms:
Wednesday, April 11, 2018 
Type(s) / SWS (hours per week per semester)
block seminar (BS) / 2
Department
Faculty of Sociology
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ID
85139432