Description

An introduction to linear and nonlinear programming. Topics include the formulation of linear programming models; the simplex method, duality and sensitivity; integer programming, the use of spreadsheets and software applications to solve constrained optimization problems.

Requisites

Prerequisites: MATH 2644

Course Hours

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00

Semesters

Spring 2027 Semester
Course Title Instructor Campus Section Syllabus
Operations Research Renee Butler, Ph.D., P.E. Carrollton 01 external Syllabus via Concourse External Resource