Universität Wien

234004 UE Tutorial to Advanced Methods of Demographic Analysis (2025S)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Moodle
Tu 24.06. 09:45-11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.03. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 11.03. 09:45 - 11:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Tuesday 18.03. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 25.03. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 01.04. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 08.04. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 29.04. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 06.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 13.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 20.05. 09:45 - 11:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Tuesday 27.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 03.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 10.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 30.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

This course offers an accompanying tutorial to the “234001 SE Advanced Methods of Demographic Analysis” course. Using the statistical software R, key concepts and measures of demographic analysis that are taught and explained in the seminar will be applied using empirical data.
The course does not require pre-existing knowledge of R. A basic introduction to the software will be given at the beginning of the course.
After passing this course, students should be able to conduct simple demographic analyses using adequate data in R.

Assessment and permitted materials

Students are asked to actively participate in class. Each week students will be asked to complete a small coding exercise, to be submitted before the next class. The homework will be discussed in the following class and randomly selected students will be asked to present their solutions. In addition, there will be a larger final assignment at the end of the tutorial.

Assessment criteria:
- Homework (30%)
- Final assignment (45%)
- Class participation (25%)

Minimum requirements and assessment criteria

For a successful completion of the course, all performance components must be delivered on time and passed individually (at least 60% per performance component). The final grade will be determined as follows:

100%-91%: Excellent (1)
90%-81%: Good (2)
80%-71%: Satisfactory (3)
70%-60%: Sufficient (4)
< 60%: Unsatisfactory (5)

Attendance is compulsory; one absence will be excused if the lecturer is informed beforehand.

Examination topics

tba

Reading list

tba

Association in the course directory

Last modified: Fr 30.05.2025 10:06