MAT 140 - Mathematical Methods for Computing and Data Science

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 make use of these methods and others chosen from systems of differential equations, difference equations, and discrete and continuous probability.

Satisfies a requirement in the Computer Science major.
Satisfies the Mathematical and Quantitative Thought requirement.
Does not count towards the Mathematics major or minor.
 

Prerequisites & Notes
MAT 111 or 112 or equivalent preparation.

Not open to students with credit for MAT 150 or MAT 160.