EECE 6332 Optimization
The course introduces students to the fundamentals of optimization. It discusses several established optimization techniques (linear programming, gradient-based unconstrained, and constrained nonlinear optimization) and the latest emerging global optimization techniques. Students will be able to formulate and solve optimization problems mathematically. There will be an emphasis on quantitative approaches to optimization using a hands-on software implementation of optimization techniques and numerical simulation in MATLAB. Optimization can be applied to all disciplines (engineering, science, manufacturing, economics, etc.). To satisfy the course project requirement, students will get to select a topic of their choice to study and review a research paper that deals with the applications of one or more optimization techniques to a specific engineering design problem.
Prerequisite
Graduate standing in the college of engineering and computer science.
Offered
Spring