040769 UK Programming in Statistics (2011W)
Continuous assessment of course work
Labels
Begleitend zur Lehrveranstaltung findet ein Tutorium (Obszelka) statt.
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 Mo 05.09.2011 09:00 to We 21.09.2011 17:00
- Registration is open from Tu 27.09.2011 09:00 to Mo 31.10.2011 23:59
- Deregistration possible until Mo 31.10.2011 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 04.10. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 11.10. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 18.10. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 25.10. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 08.11. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 15.11. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 22.11. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 29.11. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 06.12. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 13.12. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 10.01. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 17.01. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 24.01. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
- Tuesday 31.01. 15:30 - 18:00 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Information
Aims, contents and method of the course
Assessment and permitted materials
* submission and presentation of homework excercises
* preparation of more extensive problems
* participation in class
* preparation of more extensive problems
* participation in class
Minimum requirements and assessment criteria
* introduction to relevant statistical software packages
* theoretical concepts and efficient application of the programming language R
* solve statistical problems with R
* theoretical concepts and efficient application of the programming language R
* solve statistical problems with R
Examination topics
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:29
* Introduction to the statistical language R (see www.r-project.org)