General information
The course gives an introduction to scripting in Python and environmental modelling using the PCRaster Python framework.
Course content
- Introduction to Python;
- Environmental modelling using PCRaster Python.
Methods
- Interactive lectures;
- Computer exercises with open source -freely available- software only.
Upon completion, the participant should be able to:
- Understand the Python programming language
- Perform spatial analysis using Python and useful libraries
- Implement environmental models using the PCRaster Python framework
Computer simulation models help us to improve our understanding of processes in the natural and human environment and their interactions. Furthermore, these models can be used to predict future changes. This course will give you an introduction to constructing your own models using the PCRaster Python modelling language. With this modelling language, domain experts can build powerful models of spatial-temporal processes without having in depth knowledge of programming. PCRaster provides the building blocks at the level of understanding of the domain expert. During the lectures you will learn the concept of spatial-temporal GIS-based modelling. During the computer exercises you will develop practical modelling skills using the example models on snowmelt, forest fires and seed dispersal.
Content
The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.
Venue
Delft, Netherlands
Application
Click here to apply: http://www.unesco-ihe.org/application-form-unesco-ihe-regular-short-courses-and-...
Cost:
<p>Course fee: € 950</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.
The course is designed for professionals (engineers and scientists) active in the water sector, especially those involved in using simulation models for water management.
It is expected that participants have good computer skills and basic knowledge of GIS.
Application Procedure:
Deadline IHE application: 25 August 2017 - 23.59 (CET)
Grant Opportunities:
Discounts on the tuition fee of online and short courses apply to the following:
- 30% for UNESCO-IHE alumni
- 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)
NFP, MSP and SIDS Fellowships
Most of our short courses are eligible for NFP, MSP and SIDS Fellowships. Candidates from eligible countries are always encouraged to apply for one.
You will need to have academic admission at UNESCO-IHE before you apply for an fellowship. Please be aware that the UNESCO-IHE application deadline and the fellowship application deadlines are different.
The UNESCO-IHE deadline is mentioned on each individual Short Course webpage, the fellowship deadlines are listed here:
You may register by filling out the online application form available at the webpage of the Short Course of your preference. Within 15 working days you will be notified about the outcome of your application. You will receive more details about how to apply for the fellowship when you are academically admitted. In case you would like to be nominated for a NFP/MSP fellowship, please note that you can apply for only one course per deadline.
For fellowships, other than NFP, MSP or SIDS, use Nuffic's grantfinder.
The course gives an introduction to scripting in Python and environmental modelling using the PCRaster Python framework.
Course content
- Introduction to Python;
- Environmental modelling using PCRaster Python.
Methods
- Interactive lectures;
- Computer exercises with open source -freely available- software only.
Deadline IHE application: 25 August 2017 - 23.59 (CET)
Upon completion, the participant should be able to:
- Understand the Python programming language
- Perform spatial analysis using Python and useful libraries
- Implement environmental models using the PCRaster Python framework
Computer simulation models help us to improve our understanding of processes in the natural and human environment and their interactions. Furthermore, these models can be used to predict future changes. This course will give you an introduction to constructing your own models using the PCRaster Python modelling language. With this modelling language, domain experts can build powerful models of spatial-temporal processes without having in depth knowledge of programming. PCRaster provides the building blocks at the level of understanding of the domain expert. During the lectures you will learn the concept of spatial-temporal GIS-based modelling. During the computer exercises you will develop practical modelling skills using the example models on snowmelt, forest fires and seed dispersal.
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.
The course is designed for professionals (engineers and scientists) active in the water sector, especially those involved in using simulation models for water management.
It is expected that participants have good computer skills and basic knowledge of GIS.
