Applied Probability & Statistics for Engineers

Catalog description

This course deals with the application of statistical analysis methods for analyzing data of interest in engineering. Statistical methods emphasizing applications in engineering include quality control, design of experiments, and probabilistic design. Furthermore, data sets can originate from component dimensions, tolerances, type of material, and fabrication process control. An important goal of the Engineering Statistics discipline is to transform data into meaningful information for decision-making. These are then developed and applied to Artificial Intelligence (AI) technology since AI technology depends critically on several statistical methods to make data-driven decisions. Only one version of I EGR 370 and A MAT 370 may be taken for credit. Prerequisite(s): A MAT 214.