CHEM 6340 - Statistical Design of Experiments

Credits: (3)
Typically Taught Fall Semester: Full Sem-Online
Typically Taught Spring Semester: Full Sem-Online
Description: Planning, conducting, and analyzing scientific experiments are critical skills central to applying the scientific method. An introduction to an efficient and effective experimental design, known as Statistical Design of Experiments (DOE), is presented. The application of DOE principles is broken down into four main steps. (1) Identifying the most important variables in the study using Plackett-Burman screening. (2) Using two-level factorial designed experiments to determine the main and interaction effects on the system responses. (3) Mathematical models are developed based on these responses and used to predict results of further experiments. (4) Introduce students to commercially available DOE software. This course includes laboratory exercises for the student to test and apply the DOE concepts to an experimental study. During the laboratory investigation, students will evaluate both screening and factorial designs.