Experimental Design and Data Analysis for Biologists 320-ERS-1EDAL
The aim of this course is to familiarize students with steps of the Scientific Method and selected techniques of the statistical data analysis.
Students will learn about the role and correct hypothesis formulation in research, experimental design and research planning with particular focus on the ecological/ecophysiological studies (including the definition of a sample, correct sample unit identification and collection methods, types of data, replications and pseudoreplications, techniques of taking notes). Discussed topics also include data processing an ethical issues in science and scientific writing/publications (data manipulation, plagiarism, authorship issues, duplicate or concurrent publications, conflicts of interest, frauds, animal use and local law).
Student will also learn about Fisher’s and Neyman-Pearson’s approaches to verification of statistical hypotheses, selected parametric and randomization tests, Monte Carlo simulations, and elements of Bayesian methodology (Bayes’ rule in practice).
Rodzaj przedmiotu
Koordynatorzy przedmiotu
Kryteria oceniania
Forms and conditions of credit:
100% attendance
Participation in discussion during classes
Student project: students design a study/project in accordance with the scientific method
Passing a short test on selected statistical methods.
Literatura
Literature:
Lampert, W., Sommer, U. 2007. Limnoecology. Oxford University Press.
Quinn, G.P., Keough, M.J. 2002. Experimental design and data analysis for biologists. Cambridge University Press.
Sand-Jensen, K. 2007. How to write consistently boring scientific literature. Oikos, 116: 723 – 727.
Hurlbert, Stuart H., 1984, Pseudo-replication and the design of ecological field experiments, Ecological Monographs, 54:187-211.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: