Universität Wien
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234001 SE Population Forecasting (2024W)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Moodle
Th 23.01. 16:45-18:15 PC-Seminarraum 1 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. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 28.11. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 05.12. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 12.12. 15:00 - 18:15 Digital
  • Thursday 09.01. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 16.01. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 30.01. 16:45 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

This course is dedicated to population forecasting based on the R Statistical Software. Using simple examples from R, participants will first learn common techniques of data visualization that will proof helpful during the remainder of the course. After that, different prognostic techniques and their applications will be introduced. An essential aspect of the class will be the development of scenarios, which is key for any meaningful future projection. The main objective of the course is to improve the participants’ understanding of the evolution of population-based processes.

Assessment and permitted materials

Achievement of that goal will be assessed based on three criteria.

1. Active participation (20%); this includes carrying out at least one programming task in front of the class.
2. Projection exercise (30%); to be submitted as a running R-code by January 7th.
3. Final exam (50%); with programming tasks based on the course-content.

Minimum requirements and assessment criteria

Participation is obligatory. Students may miss at most one class.

Grades will be based on the three tasks (participation, projection exercise, final exam)

All three of them are mandatory. Failing to fulfill one of the tasks cannot be compensated by any of the others and leads to a negative grade overall.

Examination topics

The final exam will consist of programming tasks based on the content of the class.

Reading list

Association in the course directory

Last modified: Th 28.11.2024 13:06