Preliminaries -- Some key assumptions -- Designs for the reduction of error -- Use of supplementary observations to reduce error -- Randomization -- Basic ideas about factorial experiments -- Design of simple factorial experiments -- Choice of number of observations -- Choice of units, treatments, and observations -- More about Latin squares -- Incomplete nonfactorial designs -- Fractional replication and confounding -- Cross-over designs -- Some special problems.