An introduction to various aspects of optimization theory including linear and nonlinear programming, primal dual methods, calculus of variations, optimal control theory, sensitivity analysis, and numerical methods. An undergraduate major in mathematics or department permission. I and MATH 420 Introduction to Analysis or department permission. Not open to students who have credit in MATH 462 Design and Analysis of Experiments. A calculus-based statistics course.
Emphasis is on application and understanding the basic assumptions in testing data.
I or MATH 571, or department permission. Not open to students with credit in MATH 474 Applied Statistics. A calculus based statistics course. Modeling a response as a sample or multiple regression model, validity of assumptions, using models for estimation and prediction, multicolinearity, auto-correlation of error terms, residual analysis, influence diagnostics, stepwise regression. Not open to students who have credit in MATH 461 Linear Regression Analysis.