On completion of the course, the student should be able to:
Explain basic statistical terms and concepts
Identify statistical methods that are suitable for exploring, describing and analysing earth science data
Summarise and visualise earth science data with computing software
Compare, relate and predict hydrological and geographical data in time and space
The course introduces basic concepts in descriptive and inferential statistics, as well as data exploration methods, with specific focus on their use in hydrology and physical geography. Topics covered include probability distributions, data transformations, confidence intervals, hypothesis testing, frequency analysis, correlation, regression and time series analysis.
Lectures and exercises.
Assessment is divided between a written exam (2 credits ) and exercises (3 credits).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.