INFO 7375 — Special Topics in Artificial Intelligence Engineering and Applications
1–4 semester hoursGraduateLectureusually offered: fall, springArlington, VABostonOakland, CAOnlineLive CastOnlineTraditionalrepeatable for credit
Covers recent advances in neural nets and deep learning techniques with applications to large-scale engineering problems. May be repeated up to five times for a maximum of 24 semester hours.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 4 | 76 | 105 | 72% | 7.3 |
| Fall 2024 | 3 | 55 | 110 | 50% | 18.3 |
| Spring 2025 | 6 | 105 | 185 | 57% | 13.3 |
| Fall 2025 | 8 | 176 | 260 | 68% | 10.5 |
| Spring 2026 | 6 | 184 | 200 | 92% | 2.7 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 44% · T 10% · W 42% · Th 9% · F 0%
Common patterns: MW (31% of sections), U (15% of sections), M (13% of sections), W (12% of sections), S (11% of sections), T (10% of sections) — in patterns, R means Thursday
Professors
Fall
- Nicholas Brown (37% of students) · reviews
- Suhabe Bugrara (19% of students) · reviews
- Shirali Patel (17% of students) · reviews
- Svetlena Taneva Metzger (12% of students) · reviews
Spring
- Nicholas Brown (34% of students) · reviews
- Shirali Patel (17% of students) · reviews
- Suhabe Bugrara (14% of students) · reviews
- Nina Harris (12% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (INFO course descriptions) · Student reviews on RateMyHusky · All INFO courses · Plan it at numap.app