Universität Wien

234004 UE Tutorial to Advanced Methods of Demographic Analysis (2022S)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
MIXED
Moodle

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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The course starts at 10am

  • Wednesday 09.03. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 16.03. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 23.03. 09:45 - 13:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Wednesday 30.03. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 27.04. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 04.05. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 11.05. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Wednesday 18.05. 09:45 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25

Information

Aims, contents and method of the course

This course offers an accompanying tutorial to the “234001 SE Advanced Methods of Demographic Analysis” course. Using the statistical software R, key concepts and measures of demographic analysis that are taught and explained in the seminar will be applied using empirical data.
The course does not require pre-existing knowledge of R. A basic introduction to the software will be given at the beginning of the course.
After passing this course, students should be able to conduct simple demographic analyses using adequate data in R.

Assessment and permitted materials

Each week students will be asked to complete a small coding exercise, to be submitted before the next class. The homework will be discussed in the following class and randomly selected students will be asked to present their solutions. In addition, there will be a larger final assignment at the end of the tutorial.

Minimum requirements and assessment criteria

Assessment criteria:
- Homework (35%)
- Final assignment (45%)
- Class participation (20%)

Attendance is mandatory. Students may miss one class at most.

Examination topics

Reading list

Association in the course directory

Last modified: Th 14.11.2024 00:16