234001 SE Population Forecasting (2023W)
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 Fr 01.09.2023 09:00 to Fr 22.09.2023 23:59
- Deregistration possible until Fr 22.09.2023 23:59
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 05.10. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Thursday 07.12. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Thursday 14.12. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Thursday 11.01. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Thursday 18.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 25.01. 15:00 - 18:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
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. Midterm exam (30%);
3. Population projections by age and sex to be submitted as a functioning R-code (40%). The goal of this task is to roughly replicate the results according to the UN World Population Prospects.
2. Midterm exam (30%);
3. Population projections by age and sex to be submitted as a functioning R-code (40%). The goal of this task is to roughly replicate the results according to the UN World Population Prospects.
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
Association in the course directory
Last modified: Tu 03.10.2023 10:28