BIO603 Statistics in Ecological Studies
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Ane Timenes Laugen
- Lecture Semester:
- Autumn
- Teaching language:
- Norwegian/English
- Duration:
- 1 term
Teaching language
Norwegian/EnglishCourse 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. The students will organize and supervise an R coding club throughout the duration of the course.
Learning outcomes
After completing the course, the students will
have a good understanding of study design
have advanced skills in statistical programming in the R language
have advanced skills in data wrangling and graphical data exploration techniques
have advanced skills in linear models and their extensions
have advanced skills in different types of model selection
be able to apply the acquired methods and techniques to their own data
be able to critically evaluate and improve other people’s code
Examination requirements
Approval of reports from all compulsory learning activities. Details are given in Canvas by the start of the course.
Teaching methods
Classes will be a mixture of lectures, practical exercises, and self-study, 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.
Evaluation
Emneansvarlig fastsetter i samråd med studenttillitsvalgt evalueringsform og om emnene skal ha midtveis- eller sluttevaluering i tråd med kvalitetssystemet kapittel 4.1. Informasjon om evalueringsform for emnet publiseres i Canvas.
Assessment methods and criteria
Portfolio including 1) three coding and statistics challenges related to the course contents and 2) an individually written report including data analysis and interpretation of a given data set. Graded pass/fail. More information will be given in Canvas at the start of the course.
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 |
|---|---|
| BIO403 – Statistics in Ecological Studies | 5 |