AAI 5015 — Mathematical Concepts
3 semester hoursGraduateLectureusually offered: fall, springBostonOnlineHybridOnline
Reviews the mathematical knowledge required to succeed in advanced artificial intelligence studies. Covers a wide range of mathematical concepts including introductory linear algebra, probability, statistics, and calculus. Beginning with basic linear algebra, introduces vectors, matrices, and linear transformations, which are crucial in understanding data representations and transformations in AI algorithms. Continues with probability and statistics, equipping students with the tools to analyze data, make predictions, and understand uncertainties in applied machine learning. Covers the essentials of calculus, which are fundamental to understanding optimization problems in AI algorithms.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 2 | 11 | 60 | 18% | 24.5 |
| Spring 2026 | 2 | 7 | 60 | 12% | 26.5 |
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 22% · T 0% · W 0% · Th 11% · F 0%
Common patterns: async (67% of sections), M (22% of sections), R (11% of sections) — in patterns, R means Thursday
Professors
Fall
- Zhi He (82% of students) · reviews
- Navdeep Singh Dhanjal (18% of students) · reviews
Spring
- Navdeep Singh Dhanjal (57% of students) · reviews
- Umesh Hodeghatta (43% of students)
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (AAI course descriptions) · Student reviews on RateMyHusky · All AAI courses · Plan it at numap.app