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
Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
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)

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