PHYS 115Computational Physics
This course applies efficient numerical methods to the solutions of problems in the physical sciences which are otherwise intractable. Examples will be drawn from classical mechanics, quantum mechanics, statistical mechanics, and electrodynamics. Students apply a high-level programming language, such as Python, to the solution of physical problems and develop appropriate error and stability estimates.
Prerequisite(s): PHYS 102 and PHYS 105; and PHYS 116A or MATH 21 and MATH 24; and PHYS 116C or MATH 107, or equivalent. Basic programming experience in Python or similar language.
- Discussion sections TBD - will be scheduled once class starts.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Fall 2026Open Fall 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 10:40am–11:45am | Thimann Lab 101 | A. K. Furniss | Open 11/20 |
Fall 2025Open Fall 2025
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 1:20pm–2:25pm | Thimann Lab 101 | M. Hance | Open 18/20 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Amy Furniss | 4.8 / 5 | 2.7 / 5 | 92% | 40 |
| Michael Hance | 4.4 / 5 | 3.3 / 5 | 88% | 7 |
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