CS 5047 — Exploring AI Trends and Tools
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional
Explores key ideas in artificial intelligence while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and nontechnical stakeholders. Analyzes topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact. Offers students an opportunity to obtain the knowledge and skills necessary to confidently navigate the ever-evolving landscape of AI.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2024 | 1 | 52 | 100 | 52% | 48.0 |
| Spring 2025 | 1 | 30 | 100 | 30% | 70.0 |
| Summer A 2025 | 1 | 36 | 100 | 36% | 64.0 |
| Fall 2025 | 3 | 157 | 220 | 71% | 21.0 |
| Spring 2026 | 2 | 81 | 120 | 68% | 19.5 |
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 0% · T 0% · W 3% · Th 0% · F 3%
Common patterns: async (97% of sections), WF (3% of sections) — in patterns, R means Thursday
Professors
Fall
- Daniel Feinberg (72% of students) · reviews
- Prashant Mittal (25% of students) · reviews
- Joseph Reilly (3% of students) · reviews
Spring
- Daniel Feinberg (95% of students) · reviews
- Vladimir Shapiro (5% of students) · reviews
Summer A
- Daniel Feinberg (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app