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040769 UK Programming in Statistics (2013W)
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 06.09.2013 09:00 to Fr 20.09.2013 14:00
- Registration is open from We 25.09.2013 09:00 to Th 31.10.2013 23:59
- Deregistration possible until Th 31.10.2013 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 08.10. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 15.10. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 22.10. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 29.10. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 05.11. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 12.11. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 19.11. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 26.11. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 03.12. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 10.12. 16:00 - 18:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 17.12. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 07.01. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 14.01. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 21.01. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 28.01. 16:00 - 18:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
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)