Data Analysis and Modelling for Aquatic Ecosystems

The course contains different (statistical) data analysis techniques for handling ecological data sets using MS Excel and R software and dynamic simulation modelling with Stella

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2021 Edition Online

This course will be offered in an online/remote teaching format due to Covid-19 restrictions. The course's content and learning objectives will remain unchanged, while the duration may be extended. You can contact the course coordinator for more information about the new -temporary- format of the course.

For whom?

Students in the Limnology and Wetland Management specialisation of the IHE Environmental Science MSc-programme; students from other academic institutions who take this module as a short course; professionals working in the water or environment sector who want to strengthen their skills in quantitative data analysis.


For LWM students: prerequisites of the LWM specialization; for course participants from outside IHE: a basic knowledge of statistics (e.g. from having taken a university course in basic statistics or from work experience), and basic skills in working with Excel spreadsheets.

Dates, Fee, ECTS

Start: 23 May 2022
End: 10 June 2022
Deadline IHE application: 22 April 2022 - 23.59 (CET)
Course fee: € 3000

VAT is not included in the course fee

Learning objectives

Upon completion, the participant should be able to:
  1. Store and manipulate experimental data efficiently in a simple database and perform exploratory data analysis using time series plots, scatter plots and descriptive statistics in MS Excel and R.
  2. Perform basic statistical procedures and analyses using R (distribution tests and transfor-mations, t-tests, ANOVAs, non-parametric tests, simple and multiple regression, etc.)
  3. Do multivariate statistical analyses, such as multiple regression analysis and factor analysis, using R; and understand the principles of some other advanced modelling applications for ecological data.
  4. Construct a simple dynamic simulation model of an aquatic ecosystem using Stella.
  5. Discuss critically the strengths, weaknesses, missing information, advantages and disadvantages of the analyses.
  6. Communicate effectively the methods, results and conclusions of a case study (presentation and written report).


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