Universität Wien

300401 VU Statistics course based on R (2025S)

(Data Analysis and modeling)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle
Tu 27.05. 13:00-16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

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

IMPORTANT INFORMATION:
This course is equivalent to "300131 VU Statistics course based on R" in the winter term - both have exactly the same content!
It is only possible for students to complete one of these two courses, either in the winter term (300131) or the summer term (300401).
Completing both courses results in deletion of the first course from your study record.

This course is included in a mandatory module in the Master Cognition, Behavior and Neurobiology (878).
Therefore students from this master will be prioritized by the system!

First meeting (Vorbesprechung) on Tuesday 04.03.2025, 13:00 – 14:00 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.

  • Tuesday 04.03. 13:00 - 14:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5 (Kickoff Class)
  • Tuesday 11.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 18.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 25.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 01.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 08.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 29.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 06.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 13.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 20.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 03.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 10.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 17.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Tuesday 24.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

Information

Aims, contents and method of the course

Students are introduced to statistical analyses using the free software environment 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, 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, descriptive statistics, simple graphics, basic statistics (e.g., Shapiro-Wilk test, Levene’s test, t-test, U-test, ANOVA, regression, 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

- Presence and participation in the units
- Regular short intermediate tests (multiple-choice tests and statistical analyses in R): dates for the tests will be announced during the course
- Final exam (statistical analyses in R): the final exam will take place in the last unit (24.06.2025, 13:00)

For all statistical analyses that have to be done, it is allowed to use the materials provided in the course.

Continuous assessment of course work!
(prüfungsimmanente Lehrveranstaltung)

Minimum requirements and assessment criteria

Presence and participation in the units + intermediate tests: max. 60 points
Final exam: max. 40 points

87 – 100 points: Very good (1)
75 – 86 points: Good (2)
63 – 74 points: Satisfactory (3)
50 – 62 points: Adequate (4)
0 – 49 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, MNB2, MZO4, MEC-5

Last modified: Tu 04.03.2025 08:06