Experimental Design for Decision Sciences

Course content

This PhD course aims to provide a fundamental understanding on the design and analysis of experiments which constitute one of the core methods of investigation in decision sciences. Topics that will be covered include analysis of variance, non-parametric analysis, randomized complete block designs, Latin square designs, Latin squares designs, balanced incomplete block designs, factorial experiments, two-level factorial designs, blocking&confounding, and two-level fractional factorial designs.