ENGS 104
Optimization Methods for Engineering Applications
An introduction to various methods of optimization and their uses in modern engineering. Students will learn to formulate and analyze optimization problems and apply optimization techniques in addition to learning the basic mathematical principles on which these techniques are based. Topic coverage includes linear programming, nonlinear programming, dynamic programming, combinatorial optimization and Monte Carlo methods.
Prerequisites & course information
Prerequisite MATH 22 and ENGS 27 or equivalents, or permission of instructor
Sources
- Course catalogue ↗2026-2027