Ordination and Gradient Analysis

Postgraduate course

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


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 (studie.bio@uib.no). The time of the first lecture/orientation meeting can be found in the schedule on the course website or on Mitt UiB.

Required Previous Knowledge
Bachelor's degree in Biology, or equivalent.
Recommended Previous Knowledge
BIO250 Palaeoecology (10 ECTS), BIO300A Academic Writing (5 ECTS) and BIO300B Biostatistics (5 ECTS), or equivalent.
Forms of Assessment
Home exam
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Course Evaluation
Students will evaluate the course in accordance with the quality assurance system at UiB and the Department. You can find courseevaluations in the Quality Assurance Reports.