Multivariable Calculus and Modeling

Catalog description

Continued study of calculus and other mathematical methods for modeling change and uncertainty. Multivariable calculus topics include partial derivatives and the gradient vector, multivariate optimization, and double integrals. Matrix methods include systems of linear equations, matrix algebra, and eigenvalues. Models, primarily in the context of problems in the life sciences, make use of these methods and others chosen from systems of differential equations, difference equations, and discrete and continuous probability. Satisfies the Mathematical and Quantitative Thought requirement. Prerequisites & Notes Mathematics 111 or 112 or equivalent preparation. Not open to students with credit for MAT 150 or MAT 160.