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Postgraduate course

Ordination and Gradient Analysis

Semester of Instruction

Autumn

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

Required Previous Knowledge

Bachelor degree in Biology

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.

Exam information

  • Type of assessment: Two assignments

    Withdrawal deadline
    21.11.2017