Data Analysis and Modelling for Aquatic Ecosystems

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General information

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.

Learning outcome:

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).
Contact Person: Anne van Dam (Coordinator) (a.vandam@unesco-ihe.org)

Content

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Venue

Venue: UNESCO-IHE Institute for Water Education
Delft, Netherlands

UNESCO-IHE
Westvest 7, 2611 AX Delft

Application


Cost:

 € 2.775


Prerequisites:

You should at least have a Bachelor Degree in a relevant field of study, some years of working experience and a good command of the English language.


Application Procedure:

Apply using the online application form.

Application Deadline: 17 April 2016 - 23.59 (CET)


Grant Opportunities:

Most of the UNESCO-IHE online courses are eligible for NFP fellowships, and candidates from NFP countries are always encouraged to apply for one (Deadline NFP: 14 October 2015). Discounts on the tuition fees are also available and apply to the following:

  • 30% for UNESCO-IHE alumni
  • 30% for UNESCO-IHE G-PoWER partners
  • 10% for UN family staff members
  • 10% for groups of 5 or more (provided that the course starts at the same time and a group application has been sent)

Qualification

Academic level: Lifelong Learning

Credits:
Scheme: 
ECTS
Value: 
5
Occupations (not validated):
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