6EV311 Study design and statistical modelling


Learning outcomes

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



  • has a good understanding of basic statistical concepts and terminology.



  • can apply statistical models in ecology and interpret model outcomes and predictions.
  • is able to present statistical results in scientific publications.

General competence:


  • is familiar with the use and limitations of statistics in ecology.


Course content

The course starts with basic statistics and progresses towards (more) advanced concepts and methods in statistical modelling.

The following topics are covered:

  • Basic statistical concepts and terminology such as sampling, variation, probability, modeling, inference etc. Introduction to statistical thinking.
  • Data manipulation, graphics, use of the R environment etc. for descriptive and exploratory data analysis.
  • Fundamentals of study design.
  • Null Hypothesis Scientific Testing.
  • Presentation of statistical results (e.g., graphics).
  • Linear and Generalized Linear Models, as a foundation for many statistical methods used in ecology and forestry.
  • More advanced concepts used in modern statistics (e.g., parsimony, likelihood, model selection)

Arbeids- og undervisningsformer

Teaching and working methods

Lectures and exercises / assignments based on examples from Ecology and Forestry. 

Obligatoriske krav som må være godkjent før eksamen kan avlegges

Coursework requirements

All assignments are mandatory.



  • Assessment of a portfolio including two written reports / papers and one additional assignment (45%). The two reports are common with the Ecology course (6EV310).
  • Oral exam based on scientific articles (55%)

Grading according to ECTS-system on scale A-E for passed and F for failed. Both exams must be passed in order to pass the course.