Entry requirements

120 credits and Aquatic ecosystems and ecosystem services together with Empirical Modelling

Learning outcomes

After completion of the course, the student should be able to:

• construct conceptual and simple dynamic models
• use advanced statistical and dynamic models
• propose and critically evaluate measures for water quality problems
• independently and in groups present and evaluate data analyses in both oral and written form

Content

The course is oriented towards and understanding and solution to current water quality problems through modelling. Different models are used during the course (from simple mass balance models to more complex dynamic and statistical models with focus an non-parametric methods). The course includes the modelling of processes within a water system and its catchment area. Local, regional and global driving variables for water quality are analysed and discussed. Time series analyses are conducted to monitor changes in water quality over time. An important component of the course is to be able to independently anlayze water quality data through the selection of appropriate methods and to reflect on model results.

Instruction

Lectures, computer exercises, seminars and project work.

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Assessment

The first part of the course is graded using written exercises (1.5 credits) and a written (digital) exam (4.5 credits). The project work is evaluated with a written individual report (4.5 credits) and with an oral (0.5 credits) and written (4 credits) group presentation.