Design and Analysis of Experiments


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

Learning Outcomes

  1. Demonstrate principles of statistical design, hypothesis testing and model diagnostics 

  2. Plan, conduct and analyse experiments using completely randomised design (CRD) and randomised block design

  3. Design, analyse and interpret the results of the factorial, fractional factorial and repeated measures design

  4. Analyse and interpret data from experiments involving latin square design, split plots and response surface design

  5. Review concepts of statistical power and sample size and their implications for design and analysis of experiments

% Coursework 50%
% Final Exam 50%