6EV321 Advanced statistical modelling


Learning outcomes


A candidate with fulfilled qualifications will have the following learning outcome:


The student has a good understanding of the main statistical modeling approaches and tools used in Ecology


The student can apply advanced statistical models in ecology and interpret model outcomes and predictions.

General competence

The student is familiar with the use and limitations of statistical models in ecology.


Course content

  • Review of Generalized Linear Models
  • Overdispersion
  • Zero-truncated and zero-inflated models
  • Generalized Additive Models
  • Mixed Models and Hierarchical modelling
  • Brief introduction to Bayesian inference

Arbeids- og undervisningsformer

Teaching and working methods

Lectures, practical exercises, and discussions.

Obligatoriske krav som må være godkjent før eksamen kan avlegges

Coursework requirements

One assignment in addition to the final report.



Final individual report. Grading according to ECTS-system on scale A-E for passed and F for failed.