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170-0012-00L 5 Credits
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Reliability and Risk

Lecturers & Examiners: Prof. Dr. Giovanni Sansavini
This course unit is part of a joint ETH Master's program with Ashesi University Ghana. Enrollment takes place at Ashesi University.
VVZ CR n/a

Last Updated: 2026-06-01 11:33:49

Abstract

This course introduces the fundamentals of reliability and risk analysis, from basic probability concepts to advanced computational techniques, for a variety of industrial application fields. The overall aim is to provide students with a package of methods for systematic and comprehensive system analyses to inform reliability, safety, and resilience.

Objective

At the end of the course, the students will be able to: • Develop risk analysis models for industrial systems (scenarios, undesired events, consequences) • Apply representative tools for quantitative risk analysis (Fault trees and event trees) • Use appropriate measures to understand the contributors (events, components) to system risk • Analyze risk contribution for human factors and incorporate in risk model • Characterize and propagate uncertainties in the risk model parameters • Apply methods to design reliability-, safety-, and resilience-enhancing solutions

General Information

Language
English
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Reliability and Risk No time listed 150 h semesterly

Offered In