Statistics and Data Analysis Methods
Syllabus, Master's level, 1HY013
- Code
- 1HY013
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Earth Science A1N
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 30 August 2018
- Responsible department
- Department of Earth Sciences
Entry requirements
120 credits with 90 credits in earth science or in technology or physics.
Learning outcomes
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
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).
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.