Universität Wien
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300131 VU Statistics course based on R (2024W)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Mo 20.01. 15:00-18:00 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

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.

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Mindestanforderungen und Beurteilungsmaßstab

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)

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, MNB6, MZO4

Letzte Änderung: Di 01.10.2024 11:27