Description
An introduction to the primary statistical and probabilistic models used in the collection and interpretation of engineering data. The focus is on summary techniques, regression models, application of the Central Limit Theorem, confidence intervals, and recurrence intervals.Monte Carlo simulation techniques are used to estimate the failure likelihood of an engineering system. Prerequisite: MAT 245. (2 units; Interdisciplinary; Fall)