Ordination and Gradient Analysis
Postgraduate course
- ECTS credits
- 5
- Teaching semesters
- Autumn
- Course code
- BIO303
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
The course introduces some statistical tools for analysing and interpreting ecological data. It consists of lectures and computer based practicals covering direct and indirect ordination, cluster analysis and regression trees. The course is followed by a take home exam which covers both theoretical and practical aspects of the course.
Learning Outcomes
After completing the course, students should be able to:
- Explain why the statistical properties of ecological data mean it can needs appropriate methods
- Explain why parsimonious models and methods should be preferred
- Describe the advantages and disadvantages of different numerical methods
- Choose appropriate techniques for analysing data
- Interpret diagnostics
- Build parsimonious models
- Generate and interpret relevant plots
- Analyses data in a modern statistical package
Have some of the statistical skills necessary for their thesis projects
Semester of Instruction
Autumn.
This course has a limited capacity, enrolment is based on application. The application deadline is Wednesday in week 33 for the autumn semester. Please see this page for more information. You will receive confirmation of whether you received a seat in Studentweb no later than Monday the week after the deadline.
It is compulsory to attend the first lecture/orientation meeting, or you risk losing your seat. If you are unable to attend the first lecture, you must contact the Study Section (