<
 
 
 
 
×
>
You are viewing an archived web page, collected at the request of United Nations Educational, Scientific and Cultural Organization (UNESCO) using Archive-It. This page was captured on 21:42:57 Aug 02, 2016, and is part of the UNESCO collection. The information on this web page may be out of date. See All versions of this archived page.
Loading media information hide

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

Apply now for

2017

Dates, Fee, ECTS

Start: 22 May 2017
End: 09 June 2017
Deadline IHE application: 22 April 2017 - 23.59 (CET)
Course fee: € 2850

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).