Syllabus for Statistical Methods in Hydrology
Statistiska metoder i hydrologi
A revised version of the syllabus is available.
- 5 credits
- Course code: 1HY114
- 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)
- Established: 2008-03-13
- Established by: The Faculty Board of Science and Technology
- Revised: 2013-04-26
- Revised by: The Faculty Board of Science and Technology
- Applies from: Autumn 2013
120 credits with at least 90 credits in Earth Sciences and 15 credits mathematics, or 90 credits in Physics.
- Responsible department: Department of Earth Sciences
- This course has been discontinued.
After the completion of the course, the student should be able to
- identify statistical methods that can be used to handle large amounts of data
- use statistical tools for modelling and analysis within the environmental sciences
- carry out a time-series analyses
- compute design floods and hydrological extremes
Shapes of probability density functions including measures of central tendency, dispersion and symmetry. Expectation and estimation. Frequency analysis and design floods. Discrete and continuous probability distributions, especially normal and extreme-value distributions. Confidence intervals and hypothesis testing. Correlation, simple and multiple regression. Variance analysis. Parameter-value estimation. Time-series analysis and simple stochastic models. Error theory.
Lectures, computer exercises, project work.
Grading is based on a written examination (4 credits) and exercises and also the written and oral presentation of project reports (1 credit).
- Latest syllabus (applies from Autumn 2019)
- Previous syllabus (applies from Autumn 2013)
- Previous syllabus (applies from Spring 2010)
- Previous syllabus (applies from Spring 2008)
Applies from: Autumn 2013
Some titles may be available electronically through the University library.
Statistical methods in hydrology
Uppsala: Geotryckeriet, 2009