234001 SE Population Forecasting (2022W)
Continuous assessment of course work
Labels
ON-SITE
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 Th 01.09.2022 09:00 to Fr 23.09.2022 23:59
- Deregistration possible until Mo 31.10.2022 23:59
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
On the last date the course takes place at UZA IIAdress: Josef Holaubek-Platz 2, 1090 WienMetro: Linie U4 und U6 (Station Spittelau)Tram: Linie D (Haltestelle Lichtenwerder Platz)Bus: Linien 35A/37A (Haltestelle Lichtenwerder Platz
- Wednesday 05.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 12.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 19.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 09.11. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 16.11. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 23.11. 09:45 - 13:00 EDV-Raum 4 2C502 5.OG UZA II
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. (Home) exercises (30%); to be completed partly in class, partly at home.
2. Population projections by age and sex to be submitted as a functioning R-code (50%). The goal of this task is to roughly replicate the results according to the UN World Population Prospects.
3. Classroom participation (20%)
2. Population projections by age and sex to be submitted as a functioning R-code (50%). The goal of this task is to roughly replicate the results according to the UN World Population Prospects.
3. Classroom participation (20%)
Minimum requirements and assessment criteria
Participation is obligatory. Students may miss at most one class.
Grades will be based on the three tasks (exercises, projection code, participation)
All three are obligatory.
Grades will be based on the three tasks (exercises, projection code, participation)
All three are obligatory.
Examination topics
Reading list
Lutz, W., J. W. Vaupel, D. A. Ahlburg (1998): Frontiers of Population Forecasting. A Supplement to Population and Development Review, 1998, 24.Keilman, N. W. (1990): Uncertanity in National Population Forecasting: Issues, Backgrounds, Analyses, Recommendations. NIDI Working Paper. Swets & Zeitlinger, Lisse 1990.Keyfitz, N. The Limits of Population Forecasting. Population and Development Review, 1981, 7, 579-593.O'Neill, Brian C., et al. "A guide to global population projections." Demographic Research 4 (2001): 203-288.
Association in the course directory
Last modified: Mo 03.10.2022 11:51