Universität Wien

300401 VU Statistics course based on R (2025S)

(Data Analysis and modeling)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Di 29.04. 13:00-16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5

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 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.

  • Dienstag 04.03. 13:00 - 14:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5 (Vorbesprechung)
  • Dienstag 11.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 18.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 25.03. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 01.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 08.04. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 06.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 13.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 20.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 27.05. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 03.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 10.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 17.06. 13:00 - 16:00 Seminarraum 5.1, Biologie Djerassiplatz 1, 5.131, Ebene 5
  • Dienstag 24.06. 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.
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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

- 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)

Mindestanforderungen und Beurteilungsmaßstab

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)

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: Di 04.03.2025 08:06