Design and Analysis of Experiments Using R

This module provides the student with the design of experiment concepts, tools and techniques for optimising products and processes. The student will learn to build empirical models of a process and assess its validity. The R statistical software or equivalent will be used extensively for data analysis and interpretation.

1. Conduct two and three level fractional factorial experiments and analyse the resulting data.

2. Plan, conduct and analyse experiments using Response Surface Methodology (RSM).

3. Analyse multiple response experiments and interpret the results.

4. Analyse and interpret data from experiments involving random effects models.

5. Use the expected means square rules to develop the appropriate statistical model.