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

2 reviews
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*

ENME610 Grade Distribution+-0510152025303540% of studentsABCDFWother
A-: 15.85%
A: 18.29%
A+: 5.18%
B-: 14.33%
B: 12.5%
B+: 10.37%
C-: 2.74%
C: 3.66%
C+: 4.57%
D-: 2.13%
D: 0.3%
D+: 1.22%
F: 0.61%
W: 6.4%
other: 1.83%
* "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.