6EV311 Study design and statistical modelling
- Course code6EV311
- Number of credits7,5
- Teaching semester2023 Autumn
- Language of instructionEnglish
- CampusEvenstad
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:
Student
- can apply statistical models in ecology and interpret model outcomes and predictions.
- is able to present statistical results in scientific publications.
Lectures and exercises / assignments based on examples from Ecology and Forestry.
Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comment |
---|---|---|---|---|---|---|
Portfolio Assessment | ECTS - A-F | Individual | 45% | |||
Oral examination | ECTS - A-F | Individual | 55% |
- 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%)
Reading list
No reading list available for this course