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Overview
This three day training class covers a brief overview of Bayesian Networks, then builds upon how to model using IET's Quiddity*Suite software. It contains many examples throughout the course.
Course Objectives
When the trainee completes this module s/he will have acquired the following skills: • Introduction to Bayesian Networks • Introduction to Quiddity*Suite • Pointers to reference materials • Build and query models in Quiddity*Modeler • Introduction to Quiddity*Visualizer • Approximate Inference • Learning • The Art of Modeling • Interaction with Java • Interaction with C/C++ Each student receives a set of hardcopy slides to follow and a soft copy of examples. Students are encouraged to bring their own PCs, with Quiddity*Suite pre-loaded. That enables them to perform the hands-on example on their own PCs.
For more information on training, contact training@iet.com. |
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