Catalogue 2020 - 2021

IE 605 Reliability


3 cr.


Graduate Standing

Course Description

This course covers the fundamental concepts in reliability engineering. Topics include lifetime distributions, methodologies for parameter estimation, system reliability modeling, degradation modeling, accelerated life testing (ALT) modeling and planning. Most topics are data-driven and advanced analytical methods such as Bayesian statistics using Markov Chain and Monte Carlo (MCMC) for reliability analysis will also be introduced. Basic probability and statistics background is required for this course.