ECE 5500
Optimization
3 cr
Introduction to Optimization, including unconstrained optimization, gradient descent, Newton?s method, convexity, constrained optimization, KKT, duality, dynamic programming, basic reinforcement learning, and applications of optimization in ECE. Prereq: Math 2568 and 2415; or Grad standing in Engineering or Math and Physical Sciences. Not open to students with credit for 5759.
Grade history
20 students across 1 instructor · course avg 3.85
20 students · 1 term
20 students total · 1 term · click to see per-term
Source: historical OSU grade releases via thegradeguide.com (Adam Gluck), Spring 2016 – Summer 2023. FERPA-filtered: sections under 10 students excluded.
Sections
2
Instructors
1
Enrolled
16 / 35
Open
2
Instructors
Sections in Autumn 2026
| # | Sec | Instructor | Hist. GPA | Days/Time | Room | Enrollment |
|---|---|---|---|---|---|---|
| 6327 | 010 | Aylin Yener | — | MWF 12:40 pm-1:35 pm | JR 106 106 | Open · 8/35 |
| 6328 | 010 | Aylin Yener | — | MWF 12:40 pm-1:35 pm | JR 106 106 | Open · 8 enrolled |