Course: Bayesian Belief Networks

29 Sep 2018
09:00 - 10:30
SR 113

Course: Bayesian Belief Networks

Bayesian Belief Networks for Integrated Ecological Modelling to Assess Communities and Ecosystem Services

Peter Goethals, PhD, Ghent University, contact:
Marie Anne Eurie Forio, PhD, Ghent University, contact:

Brief description of the course content
The course aims at giving insights into the strengths and potential applications of BBN
networks to model and analyze species distributions, communities as well as ecosystem
services. The course is aimed at participants with basic ecological and modelling knowledge,
but even participants with limited computer background should be able to follow. Every
aspect of the hands-on exercises is learned from scratch, and no experience is needed with
programming or particular software packages. Slides, texts and databases will be on-line
disseminated at the start of the course.

Important is to bring a laptop, preferably will a loaded battery, on which the free version of
Netica is installed. You can download this software for free here. Versions are available for both Windows as Mac.

Schedule 9h-10h30
The first part will consist of a short and practical introduction about the BBN techniques, as
well as an overview of applications and main challenges.
• Introduction
• Some theoretical basics about BBN networks
• Educational examples
• Example applications
• Strengths, weaknesses and challenges of BBN networks