Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

300131 VU Statistics course based on R (2024W)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
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

First meeting (Vorbesprechung) on Monday 07.10.2024, 15:00 – 16:00 Seminar room 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

Participation in the first meeting (Vorbesprechung) is obligatory (substitute possible), otherwise you will be de-registered from the course.

  • Monday 07.10. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 14.10. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 21.10. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 28.10. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 04.11. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 11.11. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 18.11. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 25.11. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 02.12. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 09.12. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 16.12. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 13.01. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 20.01. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Monday 27.01. 15:00 - 18:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

Information

Aims, contents and method of the course

Students are introduced to the free software environment R ( https://www.r-project.org ) and how to perform statistical analyses using R. Each unit includes theory and practice: different statistical methods are first presented and should then be applied by the students to analyze provided datasets.

It is strongly recommended to bring a LAPTOP to the course, but working in groups of two using one laptop is also possible.

R is available for Windows, macOS, and Linux (for more information visit: https://www.r-project.org ).

Based on the learned methods and by gaining a general understanding for R, students should be able to perform their own statistical analyses for their master or PhD thesis, but also to further familiarize with R and other (statistical) methods.

Included topics: Statistical basics, installation of R and fundamentals, simple graphics, basic statistical tests (e.g., Shapiro-Wilk test, Levene’s test, t-test, U-test, ANOVA, Chi-squared test, correlations), linear models (2-way ANOVA, multiple regression, ANCOVA), linear mixed models, generalized linear (mixed) models (e.g., for count, proportion, or binary data), and further selected methods.

Assessment and permitted materials

Regular intermediate tests, final exam.
Continuous assessment of course work! (prüfungsimmanente Lehrveranstaltung)

Minimum requirements and assessment criteria

Each part must be completed:
- 3 intermediate tests: max. 60 points (max. 20 points per test)
- Final exam: max. 40 points

89 – 100 points: Very good (1)
76 – 88 points: Good (2)
63 – 75 points: Satisfactory (3)
51 – 62 points: Adequate (4)
0 – 50 points: Unsatisfactory (5)

Examination topics

All statistical methods presented in the course.

Reading list

Relevant materials will be provided during the course.
For further information, several excellent books for R and online tutorials are available.

The lecture is mainly based on these books:
- Statistics: An Introduction Using R. M. J. Crawley. Wiley.
- The R Book. M. J. Crawley. Wiley.

Association in the course directory

CoBeNe 2, MNB6, MZO4

Last modified: Tu 01.10.2024 11:27