Design of Experiments

This course introduces the basic definitions, aspects of quantification, and how to identify the purpose and principles involved in the experiments. It discusses how to plan the experiment, including defining the problem, stating the hypotheses, and design the experiment in statistical terms. A crucial part of the work is how to plan the experiment in statistical term. The course includes: full and fractional factorial design, hypotheses testing (t-test and F-tests), single factor experiments and ANOVA, residual analysis and normal probability plots, analyzing designs and transforms, response surface designs, hill climbing strategies, and mixture designs.