230142 UE Prognostic Models in the Social Sciences (2020W)
Continuous assessment of course work
Labels
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 04.09.2020 13:00 to Mo 21.09.2020 13:00
- Registration is open from Fr 25.09.2020 13:00 to Mo 28.09.2020 13:00
- Deregistration possible until Tu 20.10.2020 23:59
Details
max. 40 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Thursday
26.11.
09:00 - 12:00
Digital
Thursday
03.12.
09:00 - 12:00
Digital
Thursday
10.12.
09:00 - 12:00
Digital
Thursday
17.12.
09:00 - 12:00
Digital
Thursday
07.01.
09:00 - 12:00
Digital
Thursday
14.01.
09:00 - 12:00
Digital
Thursday
21.01.
09:00 - 12:00
Digital
Thursday
28.01.
09:00 - 12:00
Digital
Information
Aims, contents and method of the course
This course is dedicated to the specific use of prognostic models in the social sciences. Its main objective is to improve participants’ understanding of the evolution of population-based processes. Using examples from R and Excel, participants will first learn common data visualisation techniques that will prove helpful during the remainder of the course. Next, different prognostic techniques and their applications will be introduced. An essential component of the class will be on scenario development, which is key for any meaningful future prognosis.
Assessment and permitted materials
1. Demographic country profile (30%); to be presented in class and submitted as a written report. Participants can choose any country except their country of origin. Depending on the number of participants, groups of up to three people may be possible.2. Population projections by age and sex; to be submitted as either an executable R code or an Excel/VBA macro (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 exercises (presentation, country profile, Excel/VBA macro or R code)All three exercises must be completed.
Examination topics
Reading list
Association in the course directory
in 505: UE im BA SM Wahlmodul
Last modified: Fr 12.05.2023 00:20