Auslaufendes Modul
Dieses Modul läuft aus. Für neue Studierende ist es in der Regel nicht mehr belegbar.
Auslaufmodul seit 10.12.2025
Biostatistik
Titel auf Englisch: Biostatistics
Lernergebnisse
The Module Biostatistics provides comprehensive introduction to data analysis for the applied sciences, especially for ecology, with a particular focus on R programming (R software).
Inhalte
- Random sampling
- Non-random sampling (block design, longitudinal data, latin square, split plot)
- Pseudoreplication
- Data classification: discrete (binary, nominal, ordinal) and continuous (interval, ratio)
- Basic concepts of data distribution
- Measures of central tendency: mean, median, or mode
- Measures of variability: range, quartiles, absolute deviation, variance and standard deviation
- Inferential statistics, normal and non-normal distributions and calculation of probabilities
- Summary of assumptions
- Difference between models and statistical tests
- T-test and ANOVA (Analysis of variance)
- Correlation and regression analysis
- Non parametric analysis (Wilcoxon, Mann-Witney-U, Kruskal-Wallis)
- General and generalized linear models
- Introduction to mixed models
- Principal component analysis (PCA)
- Non-metric multidimensional scaling (NMDS)
- Redundancy analysis (RDA)
- Canonical correspondence analysis (CCA)
- Comprehensive introduction to the essentials of R
- Programing in R language: syntax parsing, evaluation, object-oriented programming, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code presenting the content of scientific studies
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Empfohlene Voraussetzungen
Keine
Prüfungsmodalitäten
Written examination, 90 min. In case of regular (documented) attendance in the exercises, additional 10 % as a bonus is possible.
Angeboten in
- Environmental and Resource ManagementAbschluss im Ausland
Wahlpflichtkomplex: Kein Komplex genannt
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Environmental and Resource Management | Abschluss im Ausland | Kein Komplex genannt |
Literatur und Materialien
- Gotelli, N. J. & Ellison A. M. 2013 A primer of ecological statistics. Sunderland
- Dytham, C. 2011 Choosing and using statistics: a biologist's guide. Chichester
- Quinn, G. P. & Keough, M. J. 2003 Experimental design and data analysis for biologists. Cambridge
- Zuur, A. F., Ieno, E. N. & Smith, G. M. 2007 Analysing ecological data. New York
- Dormann, C. 2020 Environmental Data Analysis: An Introduction with Examples in R. Cham
- Lakicevic, M., Povak, N. & Reynolds, K. M. 2020 Introduction to R for terrestrial ecology: basics of numerical analysis, mapping, statistical tests and advanced application of R, Cham
- Crawley, M. 2013 The R book. Chichester Crawley, M. 2012 Statistik mit R. Weinheim
Hinweise
No offer in SS 2026! All students have to bring their own laptop!
Bewertungen von Studierenden
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.