Description

The course will review the fundamentals of probability and statistics, and introduce the methodologies that are commonly adopted in mechanical engineering domain. The concepts of uncertainty, confidence and risk of engineering decision-making will be emphasized. Specific topic areas will include: random vibration and analysis, random data processing, probability evolution, uncertainty quantification in system modeling, model validation and verification, data fusion and model updating, Bayesian inference and statistical learning. Course assignments will be primarily deployed in Matlab environment.