PHY 4141 Computational Physics: Stochastic Methods

3 units
Physics
Faculty of Science
Interpolation, regression and modeling. Random number generation. Monte Carlo methods. Simulations in thermo-statistics. Fractals, percolation, cellular automata. Stochastic numerical methods. Previously PHY 4341.

Components:

Laboratory
Lecture

Requirements:

Prerequisites: PHY 2333 , ( MAT 2384 or MAT 2324 ), ( CHM 3373 or ( PHY 2361 , PHY 3350 )).

Previously Offered Terms:

Fall
Winter

French Equivalent:

All Professors
A- Average (7.750)
Most Common: A+ (38%)
16 students

P

S

NS

F

D

C

B

A-

A+

Lora Ramunno

2 sections from Winter 2019 to Fall 2022

A- Average (7.750)
Most Common: A+ (38%)
16 students

P

S

NS

F

D

C

B

A-

A+

Andre Longtin

Fall 2017 - A00

No grade data available for this course.