BIO403 Statistics in Ecological Studies (Autumn 2020)
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Ane Timenes Laugen
- Lecture Semester:
- Autumn
- Teaching language:
- Norwegian/English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
Teaching language
Learning outcomes
After completing the course, the students will
- have a good understanding of study design
- be familiar with graphical data exploration techniques
- be able to perform analysis of variance and understand underlying assumptions
- Be familiar with linear models and model selection
- be familiar with parametric and non-parametric hypothesis testing
- have acquired basic skills in statistical programming in the R language
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
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
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 |
|---|---|
| BIO415 – Study Design, Data Analysis, and Reproducible Science. | 5 |