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Computational Physics PHYS 395 (3)
Computer-based approaches to solving complex physical problems. Includes topics such as Monte-Carlo and molecular dynamics techniques applied to thermal properties of materials; dynamical behavior of systems, including chaotic motion; methods for ground state determination and optimization, including Newton-Raphson, simulated annealing, neural nets, and genetic algorithms: symplectic methods; and analysis of numerical data. Prerequisite: MATH 260 or MATH 310; PHYS 255; CMPT 120 or equivalent. All prerequisite courses require a minimum grade of C-. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Andrei Frolov |
Jan 8 – Apr 12, 2024: Tue, Thu, 12:30–2:20 p.m.
|
Burnaby |