CSE 5526
Neural Networks
3 cr
Survey of fundamental methods and techniques of neural networks; single- and multi-layer perceptrons; radial-basis function networks; support vector machines; recurrent networks; supervised and unsupervised learning. Prereq: 3521 or 5521. Not open to students with credit for 779.
Grade history
561 students across 5 instructors · course avg 3.40
211 students · 5 terms
211 students total · 5 terms · click to see per-term
170 students · 3 terms
170 students total · 3 terms · click to see per-term
Instructor unknown
3.19 GPAmedian 3.385 students · 3 terms
85 students total · 3 terms · click to see per-term
62 students · 1 term
62 students total · 1 term · click to see per-term
33 students · 1 term
33 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
4
Instructors
1
Enrolled
44 / 40
Open
2
Instructors
Sections in Autumn 2026
| # | Sec | Instructor | Hist. GPA | Days/Time | Room | Enrollment |
|---|---|---|---|---|---|---|
| 4874 | — | TBA | — | TR 0935A-1055 | BE0198 | 0/0 |
| 4896 | — | TBA | — | TR 0935A-1055 | BE0198 | 0/0 |
| 10266 | 0020 | Donald Williamson | 3.49 GPA | TR 11:10 am-12:30 pm | EL 2004 2004 | Open · 22/40+32 wl |
| 10164 | 0020 | TBA | — | TR 11:10 am-12:30 pm | EL 2004 2004 | Open · 22 enrolled+32 wl |