Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

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

300718 VO Statistics in biology (2021W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
ON-SITE

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

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Der erste Prüfungstermin wird voraussichtlich in der ersten Februarwoche 2022 stattfinden.

Thursday 02.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 09.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Wednesday 15.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 16.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Wednesday 12.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 13.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Wednesday 19.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 20.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Wednesday 26.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 27.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0

Information

Aims, contents and method of the course

This course lays out the principles of obtaining and analyzing representative quantitative data in biology, with focus on elementary (univariate) statistical methods. Covered procedures include the t-test, ANOVA, analysis of contingency tables, correlation methods, and ordinary least-squares linear regression analysis. Wherever appropriate, rank-based alternatives to 'classical' frequentist test approaches are presented for comparison.

Lecturing (ONLY!) occurs in the hall HS1. Lectures will be recorded using u:stream. These records plus all slides will be made available to all registered students via Moodle. Accordingly, there will be no disadvantage to students who cannot personally attend the lectures. Please carefully watch the limitation in available seat numbers due to COVID-19 regulations! Please also note that procedures may need to be adapted on very short notice, if required due to unforeseeable changes in COVID-19 regulations.

Assessment and permitted materials

Written test (duration: 1 h).

First exam date: 01.02.2022 10:00-13:00 Audimax alte WU.

Further test dates (beginning, middle and end of summer term 2022) will be announced successively.

Minimum requirements and assessment criteria

50 % of points (maximum possible: 25 points) are required to pass the exam. Exam consists of multiple-choice part (19 questions; maximum: 19 points) and three questions where text items need to be filled out in writing (maximum: 6 points).

Examination topics

Contents of lecture units.

Reading list

Matthias Rudolf & Wiltrud Kuhlisch: Biostatistik - eine Einführung für Biowissenschaftler. Pearson Studium, 2008.
Hedderich, J., & Sachs, L. Angewandte Statistik: Methodensammlung mit R. Springer-Verlag, 2018.

Association in the course directory

BIO 4, EC EA PM3, UF BU 10

Last modified: Mo 13.09.2021 11:29