Universität Wien

040769 UK Programming in Statistics (2014W)

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

Summary

1 Baierl , Moodle
2 Obszelka , 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).
Registration information is available for each group.

Groups

Group 1

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 07.10. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.10. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 21.10. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 28.10. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 04.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 11.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 18.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 25.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 02.12. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 09.12. 15:00 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 16.12. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 13.01. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 20.01. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 27.01. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock

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

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 09.10. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 16.10. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 23.10. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 30.10. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 06.11. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 13.11. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 20.11. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 27.11. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 04.12. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 11.12. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Wednesday 17.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 18.12. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 08.01. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 15.01. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 22.01. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 29.01. 11:45 - 14:45 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum

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

Information

Examination topics

Reading list

Association in the course directory

Last modified: Th 31.10.2024 00:08