ENSY 5800 — Applications of Artificial Intelligence in Energy Systems
4 semester hoursGraduateLectureusually offered: falltypical days: WBostonOnlineTraditionalVideo Streaming
Covers fundamentals of artificial intelligence (AI) used in engineering applications for energy systems. Introduces a brief treatment of AI methods. Examines several AI methods, including search algorithms, decision making under uncertainty, graphical methods, and machine learning. Discusses a more thorough treatment for how AI is used for engineering applications in energy systems. Application areas include power generation, electric grid, renewables, and energy storage. Focuses on practical considerations, including economic opportunity, verification and validation, risks, and nontechnical challenges.
Prerequisites
- ENSY 5000 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 20 | 119 | 17% | 49.5 |
| Summer B 2024 | 2 | 4 | 114 | 4% | 55.0 |
| Fall 2024 | 2 | 7 | 134 | 5% | 63.5 |
| Spring 2025 | 1 | 8 | 10 | 80% | 2.0 |
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 23% · T 18% · W 69% · Th 3% · F 0%
Common patterns: W (46% of sections), MW (21% of sections), async (15% of sections), T (15% of sections), MTWR (3% of sections) — in patterns, R means Thursday
Professors
Fall
- Jon Wallace (100% of students) · reviews
Spring
- Jon Wallace (100% of students) · reviews
Summer B
- Jon Wallace (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (ENSY course descriptions) · Student reviews on RateMyHusky · All ENSY courses · Plan it at numap.app