Aim and Content
The course provides a basic introduction to statistical methods commonly applied in analysis of observed simulated quantities in oceanography and meteorology. This includes descriptive statistic, hypothesis testing, and probability distribution. The course will further contain frequency analysis and filtering of time series, and methods for identifying spatial coherences such as linear regressions, correlation analysis, and empirical orthogonal functions. The theory will be applied on geophysical problems.

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

• knows hypothesis testing
• can make inference based on a sample of data and quantify the uncertainty associated

Skills

The student:

• can prepare and systemize observational and model data for statistical analysis
• can present the results of the analysis
• can compute correlations and regressions between time series
• can determine the frequency spectrum of a time series
• can deduce the spatial structure of data

General competence

The student:

• is able to compute and assess basic statistical properties
• is able to synthesize the result of analyzes in a scientific report

Approved project thesis

Valid for four semesters: The semester mandatory activities have been approved and the three following semesters.