290088 VU Population Forcasting in R (2021W)
Continuous assessment of course work
Labels
MIXED
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 Tu 07.09.2021 11:00 to Tu 21.09.2021 11:00
- Deregistration possible until Su 31.10.2021 23:59
Details
max. 20 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
One part of the students will alternately be on site, the other part will attend the course in a digital way at home. The definite arrangement will then be announced by the course intructors probably via Moodle.
UPDATE 11/23/2021: The course units will take place online during the lockdown!- Thursday 07.10. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 14.10. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 28.10. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 11.11. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 18.11. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 25.11. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 02.12. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Thursday 09.12. 09:45 - 11:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
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 prognosis. The main objective of the course is to improve the participants’ understanding of the evolution of population-based processes. Achievement of that goal will be assessed based on three criteria.
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 will be permitted.
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%) This includes participation and organization of short debate sessions related to the course subject.
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%) This includes participation and organization of short debate sessions related to the course subject.
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, R-code)
All three exercises must be completed.
Grades will be based on the three exercises (presentation, country profile, R-code)
All three exercises must be completed.
Examination topics
Reading list
Association in the course directory
(MG-S3-PI.m) (MG-S4-PI.m) (MG-S5-PI.m) (MG-S6-PI.m) (MG-W6-PI) (MR1-a-PI) (MA UF GW 02)
Last modified: Th 14.11.2024 00:18