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.
Upon completion, the participant should be able to:
- 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;
- Perform basic statistical procedures and analyses using R (distribution tests and transfor-mations, t-tests, ANOVAs, non-parametric tests, simple and multiple regression, etc.)
- 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;
- Construct a simple dynamic simulation model of an aquatic ecosystem using Stella;
- Discuss critically the strengths, weaknesses, missing information, advantages and disadvantages of the analyses;
- Communicate effectively the methods, results and conclusions of a case study(presentation and written report).
Content
The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.
Venue
Delft, Netherlands
UNESCO-IHE
Westvest 7, 2611 AX Delft
Application
Click here to apply: http://www.unesco-ihe.org/application-form-unesco-ihe-regular-short-courses-and-...
Cost:
<p> € 2.775</p>
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
Credits:
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 using the online application form.
Application Deadline: 17 April 2016 - 23.59 (CET)
Upon completion, the participant should be able to:
- 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;
- Perform basic statistical procedures and analyses using R (distribution tests and transfor-mations, t-tests, ANOVAs, non-parametric tests, simple and multiple regression, etc.)
- 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;
- Construct a simple dynamic simulation model of an aquatic ecosystem using Stella;
- Discuss critically the strengths, weaknesses, missing information, advantages and disadvantages of the analyses;
- Communicate effectively the methods, results and conclusions of a case study(presentation and written report).
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.
