Introduction to Engineering Design Optimization MSE 426 (3)
Theories, methods, and applications of optimization in support of engineering design. Topics include classic optimization methods, metaheuristics and evolutionary algorithms, Design of Experiments, and meta model-based design optimization approaches. Prerequisite: Math 232, MATH 251, MSE 320 or ENSC 382 and a minimum of 80 credits.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Gary Wang |
Jan 4 – Apr 7, 2017: Mon, 2:30–4:20 p.m.
Jan 4 – Apr 7, 2017: Wed, 2:30–3:20 p.m. |
Surrey Surrey |
|
| LAB1 |
Gary Wang |
Jan 4 – Apr 7, 2017: Mon, 4:30–7:20 p.m.
|
Surrey |
| LAB2 |
Gary Wang |
Jan 4 – Apr 7, 2017: Tue, 4:30–7:20 p.m.
|
Surrey |