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040769 UK Programming in Statistics (2012W)

5.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 02.10. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 09.10. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 16.10. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 23.10. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 30.10. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 06.11. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 13.11. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 20.11. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 27.11. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 04.12. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 11.12. 15:45 - 18:15 Hörsaal D Unicampus Hof 10 Hirnforschungzentrum Spitalgasse 4
Tuesday 18.12. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 08.01. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 15.01. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 22.01. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)
Tuesday 29.01. 15:45 - 18:15 (ehem. Hörsaal DAC Universitätsstraße 5 Hochparterre)

Information

Aims, contents and method of the course

* concepts of statistical software and programming languages
* Introduction to the statistical language R (see www.r-project.org)

Assessment and permitted materials

* submission and presentation of homework excercises
* 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

Examination topics

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:29