F Basic probability theory with emphasis on results and techniques useful in operations research and statistics. Topics include axiomatic probability, advanced combinatorial probability, conditional informative expectation, functions of random variables, moment generating functions, distribution theory and limit theorems. S Probability models and statistical methods relevant to parametric and nonparametric analysis of reliability and life testing data. S Theoretical development of nonlinear optimization with applications, classical optimization, convex and concave functions, separable programming, quadratic programming and gradient methods. Courses are offered to provide electives for students in other areas.
Emphasis is on decision making.
Topics include research design, sources of information, questionnaire design, sampling, data collection and data analysis. Timely topics in marketing. May be repeated for credit as topics vary.