Statistics and Data Analysis Methods

5 credits

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
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 26 March 2021
Responsible department
Department of Earth Sciences

Entry requirements

120 credits with 90 credits in earth science or in technology or physics. Proficiency in English equivalent to the Swedish upper secondary course English 6.

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.

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