PHYS3211 — Advanced Computational Problem Solving in Physics: Reviews & Ratings

PHYS3211 (Advanced Computational Problem Solving in Physics) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.

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.

Last taught
Spring 2026
Credits
4 Hours
Prerequisites
(MATH 2331 with a minimum grade of C- or MATH 2341 with a minimum grade of C- or MATH 315M with a minimum grade of C- ); PHYS 2303 with a minimum grade of C-
NUpath
Analyzing/Using Data

Data updated October 2026.

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