MATH 400 - Methods of Optimization

A study of optimization techniques applied to industrial and economic problems. The course covers linear programming, search techniques, integer programming, nonlinear programming, and additional topics.

Prerequisites: Grades of “C” or better in MATH 263 - Analytic Geometry and Calculus II and (MATH 357 - Linear Algebra or MATH 285 - Matrix Algebra). Recommended: MATH 264 - Analytic Geometry and Calculus III.
Credits: 3
NOTE:
* Honors Scholar Course.
** This course counts toward the 63-credit Liberal Arts and Sciences (LAS) graduation requirement.