Statistical Methods for Data Analysis and Uncertainty Modeling

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: MATH 215 and MATH 216; No OP/F. Minimum grade requirement of “C” for enforced prerequisite. (3 credits) Introductory probability and statistics with emphasis on data analysis and uncertainty modeling for engineering and environmental systems. Descriptive statistics, graphical representation of data, linear regression, correlation, discrete and continuous probability distributions, conditional probability, estimation, statistical inference, extreme events, reliability analysis and techniques for design under uncertainty.