6EV321 Advanced statistical modelling

    • Course code
      6EV321
    • Number of credits
      2,5
    • Teaching semester
      2023 Autumn
    • Language of instruction
      English
    • Campus
      Evenstad
    • Required prerequisite knowledge

      Required prerequisites:The following courses from the Master in Applied Ecology at INN (or equivalent courses from another university): Study design and statistical modelling

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

Learning Outcome

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

Knowledge

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

Skills

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.

Teaching and working methods

Lectures, practical exercises, and discussions.

Required coursework

One assignment in addition to the final report.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessmentSupport materialsProportionComment
Written assignment
Individual
Form of assessment

Final individual report. 

Reading list

Course name in Norwegian Bokmål: 
Advanced statistical modelling
Faculty
Faculty of Applied Ecology, Agricultural Sciences and Biotechnology
Department
Department of Forestry and Wildlife Management
Area of study
Matematisk-naturvitenskapelige fag/informatikk
Programme of study
Master in Applied Ecology
Course level
Second degree level (500-HN)