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N E 574

METHODS FOR PROBABILISTIC RISK ANALYSIS OF NUCLEAR POWER PLANTS

3 credits.

Methods for risk and reliability analysis of engineered systems, particularly as applied in the nuclear power industry. Fault trees and event trees, Bayesian data analysis, probabilistic risk management. Some familiarity with nuclear plant safety systems is helpful, but not required.

Prerequisites & course information

Requisites: ( STAT/MATH 309 , STAT 311 , 324 , or STAT/MATH 431 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Correctly apply methods of fault tree, event-tree, data, and uncertainty analysis to evaluate potential risks of engineering systems Audience: Both Grad & Undergrad 2. Recognize, formulate, and analyze risks of engineered systems Audience: Both Grad & Undergrad 3. Explain the results of risk analysis to managers and other non-specialist decision-makers Audience: Graduate Learning Outcomes: 1. Correctly apply methods of fault tree, event-tree, data, and uncertainty analysis to evaluate potential risks of engineering systems Audience: Both Grad & Undergrad 2. Recognize, formulate, and analyze risks of engineered systems Audience: Both Grad & Undergrad 3. Explain the results of risk analysis to managers and other non-specialist decision-makers Audience: Graduate

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