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CIV_ENV 306-0: Uncertainty Analysis


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Prerequisites

None

Description

Probability, statistics, and decision theory. Discrete and continuous random variables, stationary, seasonality, autocorrelation/power-spectrum computation for discrete time series, marginal and conditional distributions, moments, linear and multiple regression, significance tests, hypothesis testing, and elementary Bayesian decision theory. Application to problems in water resources, climate change, materials, transportation, and structures. 

Class Time:

4 hr/wk

Textbook

Walpole, et al. Probability and Statistics for Engineers and Scientists. 9th ed. Prentice Hall, 2017.

Myers, Sharon. Student Solutions Manual for Probability & Statistics for Engineers & Scientists. 9th ed. Prentice Hall, 2017.

Course Outline, Outcomes and Goals