A student will learn to generate confidence intervals, test hypotheses, create mathematical models and perform regression analysis. Computer assisted methods will be used throughout. Math 085 or equivalent. Parametric curves and surfaces in 3-space, vector fields, divergence and curl, line and surface integrals. Green's, Stoke's and divergence theorems.
Emphasis is on the concept of theorem and proof.
Credits Sample spaces, random variables, central limit theorems, stochastic processes, estimation and testing of hypotheses. Credits Geometric solutions, the simplex method, duality, the revised simplex method, sensitivity analysis, integer programming and applications. MATH 328 - Methods of Teaching Secondary School Mathematics 5 Credits Strategies for teaching topics in algebra, geometry, trigonometry, linear algebra, probability and statistics, computing science and the calculus. Determinants, eigenvalues and eigenvectors. Positive definite matrices.