IMSE 440: Applied stat models in engin

Course Description

Full Course Title: Applied statistical models in engineering

The course provides students with considerable experience to flexibly work with Linear Regression Models and Design of Experiments. With the growth of automated systems, data analysis became an essential tool in engineering. The first part of the course introduces students to Simple Linear Models, Multiple Linear Models, Model Evaluation, Model Diagnosis, Analysis of Variance, Residual Analysis, and Model Selection. The second part of the course introduces students to Design of Experiments and commonly used designs such as the Completely Randomized Design, Randomized Complete Block Design, and Latin Squares Design. The course also provides the students with experience handling data for engineering applications via in-class activities and assignments. Student teams complete a major data analysis project to answer a set of engineering questions and challenges. (YR)