This course is an introduction to the statistical design of experiments and the role of random effects in data analysis. Topics include randomization tests, blocking, Latin squares, split plots, repeated measures and crossover designs, incomplete block designs, lattice designs, two level factorials, experiments without replication, factorials in incomplete blocks, confounding, fractional factorials, response surface methodology, Bayesian designs, and basics of design of computer experiments.