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Design of Experiments (DOE) is a methodology that can be effective for general problem solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include, but are not limited to, identifying root causes to quality or production problems, identifying optimized design and process settings, achieving robust designs, and generating predictive math models that describe physical system behavior. This introductory eLearning course provides an example scenario to give learners the opportunity to discover situations that may warrant a designed experiment.

This eLearning course featuring vehicle dynamics expert and best-selling author, Thomas D. Gillespie, provides a broad overview of vehicle performance, including engineering analyses and formulas that will allow participants to calculate useful performance metrics. The goal of this course is to provide participants with the tools to predict the performance of a car or truck in accelerating/braking, ride, and handling/rollover. In the process, participants come to understand the basic mechanisms and engineering principles that govern steering and suspension system design, as well as develop familiarity with the terminology.