Strategic Objectives
• Master the logical frameworks of Fault Tree and Event Tree Analysis.
• Apply Bayesian inference to update risk profiles with real-time data.
• Quantify uncertainty to make high-stakes engineering and policy decisions.
• Build hardware-agnostic safety protocols that scale across industries.
The Core Challenge
Traditional safety audits often rely on intuition and historical data, leaving organizations vulnerable to 'Black Swan' events and cascading system collapses.
01
Foundations of Probabilistic Risk
02
The Calculus of Uncertainty
03
System Logic and Connectivity
04
Fault Tree Analysis
05
Event Tree Analysis
06
The Bayesian Revolution
07
Bayesian Networks in PRA
08
The Human Element
09
Common Cause Failures
10
Data Acquisition for PRA
11
Uncertainty Quantification
12
Monte Carlo Methods
13
Sensitivity Analysis
14
Success Criteria and Mission Profiles
15
The Role of Expert Judgment
16
Software and Digital Systems
17
External Hazard Analysis
18
Safety Limits and Tolerable Risk
19
Risk-Informed Decision Making
20
Independent Auditing Frameworks
21