AOE-4084: Engineering Design Optimization
Description: Use of mathematical programming methods for engineering design optimization including linear programming, penalty function methods, and gradient projection methods. Applications to minimum weight design, open-loop optimum control, machine design, and appropriate design problems from other engineering disciplines.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 18
Average GPA: 3.26 (B+)
Strict A Rate (No A-) : 28.72%
Average Withdrawal Rate: 1.96%
| Robert A Canfield | 2021 | 42.2% | 44.5% | 7.2% | 3.3% | 0.0% | 2.8% | 3.28 | 10 |
| Gary D Seidel | 2024 | 46.8% | 36.5% | 12.0% | 1.5% | 0.8% | 2.3% | 3.28 | 3 |
| Jaroslaw Sobieski | 2007 | 37.4% | 51.0% | 8.4% | 1.7% | 1.7% | 0.0% | 3.24 | 4 |
| Costin D Untaroiu | 2018 | 29.6% | 55.5% | 14.8% | 0.0% | 0.0% | 0.0% | 3.18 | 1 |