MATH 5110 — Applied Linear Algebra and Matrix Analysis
4 semester hoursGraduateLectureusually offered: falltypical days: M/W/ThBostonTraditional
Offers a robust introduction to the basic results of linear algebra on real and complex vector spaces with applications to differential equations and Markov chains. Introduces theoretical results along the way, along with matrix analysis, eigenvalue analysis, and spectral decomposition. Includes a significant computational component, focused on applications of linear algebra to mathematical modeling.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Summer B 2023 | 1 | 11 | 30 | 37% | 19.0 |
| Fall 2023 | 1 | 9 | 30 | 30% | 21.0 |
| Summer B 2024 | 1 | 12 | 30 | 40% | 18.0 |
| Fall 2024 | 1 | 10 | 20 | 50% | 10.0 |
| Summer A 2025 | 1 | 14 | 25 | 56% | 11.0 |
| Fall 2025 | 1 | 16 | 20 | 80% | 4.0 |
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 65% · T 22% · W 78% · Th 65% · F 13%
Common patterns: MWR (65% of sections), T (22% of sections), WF (13% of sections) — in patterns, R means Thursday
Professors
Fall
- Lee-Peng Lee (74% of students) · reviews
- He Wang (26% of students) · reviews
Summer A
Summer B
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (MATH course descriptions) · Student reviews on RateMyHusky · All MATH courses · Plan it at numap.app