NPRE 561
Spring 2025 All Classes
Credit: 4 hours.
This course covers advanced modeling techniques for Probabilistic Risk Assessment (PRA), which provides input for risk-informed decision-making in design, operation, and regulatory oversight of complex technological systems such as nuclear power, space, chemical processes, oil and gas. Main topics: risk scenario modeling, common cause failure analysis, Bayesian updating, uncertainty analysis, Bayesian Belief Network, simulation-based PRA, probabilistic physics of failure, human reliability analysis, and expert elicitation & aggregation. PRA and Bayesian analysis software codes are utilized for assignments.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
70368
|
Lecture-Discussion
|
A
|
11:00AM
-12:50PM
|
TR
|
214 Ceramics Building
|
Mohaghegh, Z
|
|
|
|
73760
|
Online
|
ONG
|
ARRANGED
|
n.a.
|
n.a.
|
Mohaghegh, Z
|
|