Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

300401 VU Statistics course based on R (2026S)

(Data Analysis and modeling)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung

Dieser Kurs gehört im Modul MNB2 zum Bereich Datenanalyse und -modellierung.
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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 the 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 03.03.2026, 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, but inform the lecturers who is your substitute).

  • Dienstag 03.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 10.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 17.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 24.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 14.04. 13:00 - 15:30 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 21.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 28.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 05.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 12.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 19.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 26.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 02.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 09.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 16.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 23.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 30.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Students are introduced to statistical analyses using the free software environment R.
The course includes theory and practice: different statistical methods are presented and should 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), generalized linear models (e.g., for count, proportion, or binary data), linear mixed models , and further selected methods.

Art der Leistungskontrolle und erlaubte Hilfsmittel

- Two intermediate tests (open questions, multiple-choice tests and statistical analyses in R): 28.04.2026, 02.06.2026 (13:00)
- Final exam (statistical analyses in R): the final exam will take place in the last unit, 30.06.2026 (13:00)

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

Participation in all tests/exams is mandatory!
(Continuous assessment of course work - prüfungsimmanente Lehrveranstaltung)

Mindestanforderungen und Beurteilungsmaßstab

- Intermediate tests: max. 50 points
- Final exam: max. 50 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)

Prüfungsstoff

All statistical methods presented in the course.

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

CoBeNe 2, MNB2, MZO4, MEC-5

Letzte Änderung: Mo 27.07.2026 09:27