Statistics and Data Analysis Methods
5 credits
Syllabus, Master's level, 1HY013
A revised version of the syllabus is available.
- Code
- 1HY013
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Earth Science A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 29 September 2016
- Responsible department
- Department of Earth Sciences
Entry requirements
120 credits with at least 90 credits in earth science or in technology or physics.
Learning outcomes
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
Content
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.
Instruction
Lectures and exercises.
Assessment
Assessment is divided between a written exam (2 credits ) and exercises (3 credits)