MAT 313 Experimental Design

A well-designed experiment is an efficient way of learning about the world.  Experiments are performed in all branches of science, engineering and industry. Problems of increasing size and complexity have led to the development of many new methods for designing and analyzing experiments. This course provides a grounding in the statistical and mathematical methods that underpin the design and analysis of experiments (e.g. randomization, replication, blocking, confounding, ANOVA, etc.).  In addition, how to construct a research question that can be evaluated using an experiment and explore some common experimental designs will be studied (e.g. complete randomized design, block randomized design, full and fractional factorial design).  A course project allowing students to develop a research question, design an experiment, and collect and analyze the data will allow students to exercise their understanding of experimental design in a practical manner.