ECOS1100 Foundations of Statistics for Ecology and Evolution (6 cr)

Grading scale
0-5
Teaching languages
English
Responsible person(s)
Sara Calhim

Learning outcomes

To acquire the tools and concepts for using statistics in research: (1) critical evaluation, (2) choice, (3) implementation (in R), (4) interpretation and (5) further independent learning of statistical approaches.

Study methods

Lectures, practicals, homework and discussion sessions. Considerable workload outside the class with weekly homework assignments (group or individual) and a final project.

Content

The aim of this corse is to provide solid conceptual foundation and basic technical skills (using R) for the use of statistical modelling in ecological and evolutionary research. The course does not seek to be exhaustive of all techniques nor intensive in any given one. It covers both frequentist and bayesian approaches. Course aimed for Masters (and PhD) students.

Assessment criteria

Grading scheme incorporates student progress in learning (cf. previous/current knowledge) and participation.

Prerequisites

Collected own data.