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This lecture covers the fundamentals of fractional factorial design, including the group structure of factorial columns, blocking alias, interaction effects, learning outcomes, and the comparison between full factorial and fractional designs. It also delves into the geometrical interpretation of the 2(4-1) design and the aliases of the 24-1 design, showcasing the importance of selecting, using, and analyzing fractional factorial designs to optimize experimental outcomes.