Engineering Risk Assessment & Decision-Making Under Uncertainty

This 2-CEH/PDH professional-practice course develops a disciplined framework for engineering decisions under uncertainty.

Learners examine decision framing, variability and knowledge uncertainty, evidence quality, risk scenarios and matrices, common-cause dependence, sensitivity analysis, decision trees, value of information, controls, residual risk, monitoring, robustness, model verification and validation, adaptive pathways, and defensible decision records.

The course concludes with a 10-question multiple-choice final examination. A score of 70% is required to pass, and retakes are permitted until passed.