After the 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, exercises, project work.
Assessment is divided among a written exam (2 credits ) and computer exercises and projects (2 credits)