Project IV covers the basic concepts of probability, common distributions, statistical methods, data analysis, developing a critical approach to the analysis of contingency tables, examining the basic ideas and methods of generalized linear models, linking logit and log-linear methods with generalized linear models, and developing basic facility in the analysis of discrete data using SAS, R, and Python. The project will also cover operations research techniques and their application to decision making such as mathematical optimization, networks modeling, stochastic modeling, and multi-objective modeling. Other topics covered include computer simulation, decision analysis using decision trees, and quantitative value functions. The project will culminate with visualization techniques. Students will learn different means of combating information overload as well as visual encoding as a method to supplant cognitive calculations with simpler perceptual inferences, improve comprehension, memory, and decision making. (6)