This lecture covers the fundamental concepts of experimental design in genomics, focusing on replication, randomization, and blocking. It explains the importance of these techniques in reducing bias, increasing generalizability, and controlling unwanted variation. The lecture also discusses the scientific and practical considerations involved in designing microarray experiments, including sample types, controls, and verification methods. Additionally, it explores the significance of pilot studies in providing preliminary data, standardizing techniques, and identifying potential problems. Statistical considerations such as variance, effect size, and power are also addressed, along with the distinction between biological and technical replicates.