Advanced Math for Business and Economics: 3 semester hours

Catalog description

Review of differentiation and integration with applications. Introduction to differential and difference equations. Partial derivatives. Taylor expansions. Unconstrained and constrained optimization. The Lagrange multiplier approach with applications. Matrices and determinants. Eigenvalues and eigenvectors. Review of basic probability theory. Continuous random variables. Normal and lognormal random variables. Convergence of random variables. Conditional probability. Applications in business and economics. Prerequisites: MATH 1325 .