The Hugin training course covers Bayesian Networks, how to build knowledge bases using Hugins graphical user interface, how to analyze results, and programming using the Hugin Decision Engine. It contains a large number of examples, exercises, and hands-on experiences. The exercises are solved using a trial version of Hugin Developer.

Module Objectives
When the trainee completes this module s/he will have acquired the following knowledge, methodologies and capabilities:

• Fundamental understanding of Bayesian networks and influence diagrams.
• Fundamental understanding of the modelling process, including object-oriented modelling.
• Methodology and templates for model development, including tips and tricks for improving model efficiency.
• Fundamental understanding of the processes and methods for analysing the results produced by a model.
• Capability to apply the Hugin Graphical User Interface for efficient model development.
• Capability to program with the Hugin Decision Engine for application development.

HUGIN Training Process
The 3-days Hugin course gives each participant a fundamental introduction to Bayesian networks and influence diagrams through a combination of theory and practice. The theory is limited to supporting the intuitive explanation of different features of Bayesian network and influence diagram methodologies.

The course is organized into a set of sessions. Each session considers a particular topic, which is explained in detail using examples. For instance, one topic is the introduction of Bayesian networks while another topic is modelling techniques for Bayesian networks. During each session, students will have the opportunity to solve hands-on exercises on their own PC. To solve exercises, each student will have access to the Hugin Developer tool.

Unless otherwise specified the training starts at 9 o'clock and ends at 16 o'clock.

The topics considered in the course are as follows:

Material
The course is based on the book Bayesian Networks and Influence Diagrams - A Guide to Construction and Analysis by Uffe Kjærulff and Anders L Madsen. A preprint is available here. Students do not need to read this book, to participate in the HUGIN course.

The course material includes a CD-ROM with course slides and a trial-license to HUGIN Developer. Each student will also receive a set of hardcopy slides.

Requirements
The two main prerequisites of the course are limited knowledge of how to use a computer and basic mathematical skills.

All lessons will be in English, and our instructor has more than 10 years of comprehensive professional training experience.

The course requires the participants to bring their own laptop. For participants unable to bring their own laptop, computer rentals are $100 per day and must be reserved in advance.

Instructor

Anders L. Madsen Anders holds a PhD in Decision Support Systems. Anders has more than 10 years of teaching experience.