With our course Decision-Making Under High Uncertainty: Bayesian Network Modeling, the ICEUR School kicks off the new semester. Starting on October 5, 2026, the course combines the principles of Bayesian reasoning with hands-on work in GeNIe 5.0. Participants will be guided step by step — from understanding uncertainty and probabilistic thinking to building and applying their own Bayesian network models. In September, Dr. Trefor Bazett already gave participants a first insight into Bayesian reasoning and probabilistic thinking during our free webinar.
Meet our instructors:
- Dr. Trefor Bazett — University of Victoria
Dr. Bazett will introduce the basics of Bayesian reasoning and show how probabilistic thinking can be used to make informed predictions and decisions. - Ilja Vorontsov — Expert in Bayesian Network Modeling
His session will take participants from the theoretical foundations to a practical understanding of how Bayesian network models are built and interpreted. - Dr. Ullrika Sahlin — Specialist in Uncertainty
Dr. Sahlin will explore different types and sources of uncertainty that arise in real-world analytical tasks and discuss how they can be addressed. - Dr. Marek J. Druzdzel — Professor Emeritus at the University of Pittsburgh
Dr. Druzdzel is a founding partner of BayesFusion and one of the key developers of GeNIe and SMILE. His expertise will provide participants with valuable insights into Bayesian network modeling and its practical applications.