IDI Bayesian Network Course – Next Course October 19-21, 2021

IDI Bayesian Network Course – Next Course October 19-21, 2021 2021-05-25T14:29:37+00:00
Download Flyer for 2021 Course
Register Today for the October 19-21, 2021 Course!

Location: Virtual
Time: 8:30 am to 4:30 pm

Course Description: 

The course focus is on constructing and analyzing Bayesian networks (BNs) in Netica – from simple models for learning the basics to more complex, real-world applications for learning advanced features. Through a hands-on learning process, students will have the opportunity to explore examples and work on networks from their own work places during class exercises.

The cost is $1900 which includes snacks each day. A discount of $200 for early registration three weeks prior to course is available. We also offer a $200 discount for multiple persons from the same organization. Only one discount can be used.

A temporary student license for the Netica software will be provided. Students do not need to purchase Netica for the course. PLEASE bring your own laptop. The course is very hands-on.


Further Information:

Please keep an eye on this webpage for further information and updates. We can also teach this course at your site at another time. Email Dennis at with questions or suggestions.

Course Topics (order is subject to change):

Day 1

  • Introduction
  • Building a simple Bayesian network (BN) – drug testing
  • Just enough probability
  • A complete diagnostic BN – Liver diagnosis case study
  • Elicitation of BN structure and probabilities
  • Student Project Definition
  • BN Process Models

Day 2

  • Troubleshooting systems – Industrial system example
  • D-Separation and sensitivity to findings
  • Student Workshop (opportunity to work on your own BN problem)
  • Learning probabilities for a BN from data
  • Combining expert knowledge and data
  • Learning structure for a BN from data
  • Learning a BN with continuous variables

Day 3

  • Netica API and programming
  • Student Workshop
  • Introduction to GeoNeticaTM
  • Student Workshop

Advanced topics available on a case-by-case basis

  • Decision making in Netica using influence diagrams
  • Using the Netica library in the ExtendSim discrete event simulation
  • Explore BN structure building using R