Table of contents

The course is connected to the following study programs

Teaching language

Norwegian/English

Learning outcomes

After completing the course, the students will

  • have a good understanding of study design
  • have basic skills in statistical programming in the R language
  • be familiar with data wrangling and graphical data exploration techniques
  • be familiar with linear models and their extensions
  • be familiar with different types of model selection

Contents

This course will introduce the students to working with real-life data common and statistical methods used in evolution and ecology. The course focuses on developing robust and repeatable workflows for data wrangling, data visualisation and statistical analysis. The students will get an introduction to basic linear models, mode selection and more advanced methods such as Generalised Linear Models and Mixed Models. Throughout the course students will use the programming language R, the RStudio package, and Git.

Teaching and learning methods

Classes will be a mixture of lectures and practicals designed to build required skills for future modules and to perform analyses frequently encountered in the biological literature. Instruction will be given in English. More information will be given in Canvas at the start of the course. The estimated student workload in this course is 135 hours.

Examination requirements

Approval of reports from all computer laboratory exercises. More information about the reports and exercises is given in Canvas by the start of the course.

Examinations

Portfolio. Graded assessment A-F. More information will be given in Canvas at the start of the course.

Student evaluation

The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.

Offered as a free-standing course

Yes. Subject to availability or capacity.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
BIO603 – Statistics in Ecological Studies. 5
BIO415 – Study Design, Data Analysis, and Reproducible Science. 5
Last updated from FS (Felles studentsystem) Oct. 15, 2026 9:15:16 AM