ME 586 - Reliability Methods in Engineering Design

(4 credits)

Theory and applications of probabilistic methods in the analysis and synthesis of engineering systems. Review of basic probability concepts, random variables and distributions and uncertainty quantification and propagation. First-order, secondorder and advanced mean value reliability methods. Monte Carlo simulation, variance reduction techniques, sensitivity analysis and reliability-based design optimization. Implementation of probabilistic methods using Excel and Matlab. Offered winter.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.