Universität Wien
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234001 SE Applied Methods of Demographic Analysis (hands-on intensive course) (2024S)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Moodle

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 05.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 07.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 14.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 19.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 21.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 09.04. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 11.04. 15:00 - 16:30 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 02.05. 15:00 - 16:30 Digital
  • Tuesday 07.05. 16:45 - 18:15 Digital
  • Tuesday 14.05. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 16.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 23.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 28.05. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

This hands-on R-course offers an application-oriented introduction to the techniques of demographic analysis. While the course does not require prior knowledge of R, it is certainly advantageous to have skills in R already. Regardless, a basic introduction to the software will be provided at the beginning of the course. For a more in-depth understanding of R, it is highly recommended to also attend the parallel tutorial:

234004 UE Tutorial to Advanced Methods of Demographic Analysis
Course instructor: Endale Kebede

During the first few sessions, participants gain an overview of the widely-used, national and international data sources for the application of the discussed techniques. Over the course of the one-month break (roughly mid-April to mid-May), students are expected to start preparing a mini-project on a topic of their choosing. Potential topics can be discussed in class and further feedback will be provided in two sessions to be held in early May, possibly in digital format. The final four sessions in May are dedicated to the presentation of the mini-projects. The final assignment is the timely submission of the project documentation.

After completing this course, students should be able to conduct simple analyses related to questions around social change using suitable data.

Assessment and permitted materials

(1) Depending on the number of participants, a single or group presentation of a mini-project to be carried out using at least some of the methods discussed in class.

(2) Classroom participation, including active involvement in the discussions following the oral presentations.

(3) Following the presentation and discussion of the mini-project, submission of a written project description, including the feedback received in class.

Minimum requirements and assessment criteria

Participation is obligatory and will be checked. Students may miss at most two units if the course instructor is informed beforehand, which means at least two hours before class. The final grade will be determined as follows:

(1) Active classroom participation (20%)
(2) In-class presentation (30%)
(3) Mini-project (50%)

All three requirements have to be fulfilled for positive evaluation.

Examination topics

Reading list

Association in the course directory

Last modified: We 31.07.2024 12:06