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Emnebeskrivelse
BIO-8105: Ecological methodology: Study design and statistical analysis Work Load
10 credits (ECTS) | Examination semester
Spring
| Objectives
The course aims to make students able to plan and conduct empirical, ecological research through all stages of the research processes from formulation of hypotheses, statistical analyses and to the presentation and interpretation of the results. The course focuses on the underlying principles of study design and statistical methods. | Contents
The course aims to demonstrate how ecological theory, study designs and analyses should be linked, and the course should make students able to plan and conduct empirical, ecological research through all stages of the research processes from formulation of hypotheses to the presentation and interpretation of the results. Simple (e.g. crossed) as well as more advanced (e.g. split-plot, multi-level) experimental and observational designs are presented and compared with respect to issues such as precision, confounding and bias. Statistical aspects of the course focus on statistical estimation of biologically relevant effects and issues of model selection. Statistical methods covered are generalised linear and additive models, and a short introduction to the bootstrap is given. Multivariate analyses (PCA, Correspondence Analysis) are also briefly covered. The course emphasized also the practical aspects through the analyses of real data sets in R. The course is relevant for doctoral students within all field of ecology and evolutionary biology. | Recommended previous qualifications
STA-0001 Applied statistics 1 | Form of teaching
Lectures 30 hours and PC-lab. 30 hours. | Coursework requirements
PC-lab
| Exam and assessment
Oral exam and project work. Grading form: Passed/fail. | Course overlap
BIO-3123 -1 10 sp |
Teaching spring 2007
Kurset er begrenset til 25 studenter. Mastergradsstudenter ved IB blir prioritert først. Kurset kan bli gitt på engelsk. Eksamen omfatter utarbeidelse av en prosjektoppgave.
Første gang: Tirsdag 23. januar kl 0915, U-rom 2, Naturfagbygget
Responsible teacher:Prof. Nigel Yoccoz |
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