Design of Experiments

Course Overview

This course teaches participants how to plan and conduct experiments in an effective and efficient manner. Participants gain the fundamental knowledge necessary to design effective experiments, analyze the results, and avoid the common mis-applications in practice. Knowledge of basic algebra is helpful.

Seminar Content

  1. Introduction to Experimental Design
    • Definitions
    • Sequential Experimentation
    • Common Pitfalls

  2. A Guide to Experimentation
    • Planning
    • Implementing
    • Analyzing
  3. Two Level Factorial Designs
    • Design Matrix
    • Calculation of Effects
    • Geometric Analogy
  4. Identifying Significant Effects
    • Variable & Attribute Responses
    • Describing Insignificant Location Effects
    • Analyzing Replicated and Unreplicated Designs
    • Normal Probability Plotting
  5. Developing Mathematical Models
    • Developing First Order Models
    • Residuals
    • Model Validation
  6. Fractional Factorial Designs
    • Structure of the Designs
    • Identifying an “Optimal” Fraction
    • Confounding/Aliasing
    • Resolution Analysis of Fractional Factorials
    • Discussion on Reflected Designs
  7. Proportion & Variance Responses
    • Identifying Significant Proportion Effects
    • Identifying Significant Variance Effects
  8. Exercises and Group Project
    • Exercises for each Topic
    • Plan, Design, Run, and Analyze an Experiment