Introduction to Engineering Data Analytics

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: (IOE 265 or STATS 250) and (MATH 214 or MATH 216 or MATH 256 or MATH 286 or MATH 316 or ROB 101 or ROB 201); No OP/F. Minimum grade requirement of “C-” for enforced prerequisite. (3 credits) Introduction to data analysis methods and statistical tools, linear regression and correlation, multiple linear regression, stepwise selection, nonlinear regression, logistic regression, analysis of variance, introduction to design of experiments.