234001 SE Population Forecasting (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 01.09.2022 09:00 bis Fr 23.09.2022 23:59
- Abmeldung bis Mo 31.10.2022 23:59
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
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
- Mittwoch 05.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Mittwoch 12.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Mittwoch 19.10. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Mittwoch 09.11. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Mittwoch 16.11. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Mittwoch 23.11. 09:45 - 13:00 EDV-Raum 4 2C502 5.OG UZA II
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
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%)
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
Literatur
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.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 03.10.2022 11:51