6EV311 Study design and statistical modelling

    • Number of credits
      7,5
    • Teaching semester
      2023 Autumn
    • Language of instruction
      English
    • Campus
      Evenstad
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)

Learning Outcome

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

Knowledge

Student

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

Student

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

Student

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

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

Required coursework

All assignments are mandatory.

Form of assessment
  • 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%)
Assessments
Form of assessmentGrading scaleGroupingDuration of assessmentSupport materialsProportionComment
Portfolio Assessment
ECTS - A-F
Individual
45%
Oral examination
ECTS - A-F
Individual
55%
Faculty
Faculty of Applied Ecology, Agricultural Sciences and Biotechnology
Department
Department of Forestry and Wildlife Management