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 310, PHYS 255, CMPT 102, 120, or equivalent, with a minimum grade of C-. Recommended: PHYS 344 or equivalent. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Andrei Frolov |
Jan 3 – Apr 8, 2019: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
| D101 |
Jan 3 – Apr 8, 2019: Tue, Thu, 2:30–4:20 p.m.
|
Burnaby |