PHYS 3211 — Advanced Computational Problem Solving in Physics
4 semester hoursUndergraduateLectureNUpath ADusually offered: springtypical days: ThBostonTraditional
Explores the application of scientific computing languages, such as Python, in modeling the physical world and advancing physics. Topics include linear and non-linear systems, eigensystems, ordinary differential equations, boundary value problems, Monte Carlo techniques, and machine learning. Contextualizes topics within natural phenomena, physics models, and physics problems. Emphasizes developing proficiency in computational methods for modeling nature and solving complex physical phenomena.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2025 | 1 | 6 | 40 | 15% | 34.0 |
| Spring 2026 | 1 | 5 | 40 | 13% | 35.0 |
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 0% · T 45% · W 0% · Th 55% · F 0%
Common patterns: R (55% of sections), T (45% of sections) — in patterns, R means Thursday
Professors
Spring
- Thomas Kelley (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list PHYS 3211 in their prerequisites.
Links
Official catalog (PHYS course descriptions) · Student reviews on RateMyHusky · All PHYS courses · Plan it at numap.app