This course will teach how to design, conduct, and analyze experiments.  The strategies of experimentation, such as identifying the key input and output variables, blocking factors, and the number of experiments, required to draw objective conclusions will be discussed. The course will examine how to analyze the experimental data and draw conclusions from it.  In particular, the logic of hypothesis testing, t-test, Z-test, the Analysis of Variances (ANOVA), factorial and fractional factorial designs will be discussed in detail.  The course includes a review of the modest probability and statistics background necessary for conducting and analyzing scientific experimentation. Mostly Excel will be used to demonstrate the problems.  Minitab will also be introduced for the design of experiments. The example problems will be drawn from experimentations involving thin film depositions.

To be added later