Knowledge: After completing the course, the student

- knows the fundamental concepts of time series modelling
- knows how to make statistical inference from time series models
- knows how to use time series models to forecast a time series

Skills: After completing the course, the student

- can analyse the properties of a time series model
- can formulate an appropriate time series model for a given problem and data set
- can use a time series model on data to make statistical inference and forecast future values of a variable

Competence: After completing the course, the student

- will be able to understand and utilise articles in the academic literature where time series methods are used
- will be able to co-work with researchers using time series methods