| Description
| Basic ideas of experimental design with applications; completely randomized design, randomized block design, randomized theory, estimation and tests, analysis of covariance for designed experiments; Latin square design, elementary combinatories with Galois fields, randomization analysis; factorial experiments, confounding, factional replication; split-plot designs; incomplete block designs in general, balanced and partially balanced designs, associated mixed linear models, intra- and inter-block information; strategies in factor screening; determination of optimum factor combinations; basic ideas of optimal design.
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