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This lecture covers qualitative factors in experimental design, focusing on system and subsystem analysis, qualitative vs quantitative factors, and optimization cases. It delves into the identification of factors affecting quality, factorial design strategies, and models with constant and random effects. The lecture also discusses the inference of interaction coefficients, model computation, and data classes in Matlab, concluding with practical exercises for students to apply the concepts learned.