ENME610
Engineering Optimization
Overview of applied single- and multi- objective optimization and decision making concepts and techniques with applications in engineering design and/or manufacturing problems. Topics include formulation examples, concepts, optimality conditions, unconstrained/constrained methods, and post-optimality sensitivity analysis. Students are expected to work on a semester-long real-world multi-objective engineering project.
Fall 2025
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Average rating: 1.00
Past Semesters
2 reviews
Average rating: 1.00
2 reviews
Average rating: 1.00
2 reviews
Average rating: 1.00
2 reviews
Average rating: 1.00
During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 2.94 between 328 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.