A course designed to treat subject matter not covered in other standard courses or to provide study of subject matter introduced in other courses. The title, content and credit hours will be determined by current mutual interests of faculty and students. An overview of formal models of computation and complexity classes. An introduction to multivariable calculus. Topics include vector-valued functions, functions of several variables, partial differentiation, multiple integrals and vector analysis.
Computer labs illustrate important concepts.
I 3 hours Elementary mathematical theory and applications of basic probability to statistics. Topics studied include random variables, both discrete and continuous, and their probability distributions with applications of a practical nature to numerous fields. Also studied are multivariate probability distributions. A continuation of Mathematics 206, with further applications of probability theory to statistical problems of estimation and hypothesis testing, including least squares estimation and correlation. Also studied is analysis of variance with numerous applications of this technique.