Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Delivery mode

Internal

Class contact

4 Contact hours

Incompatible

PHYS4070 or 7070

Prerequisite

Permission of Head of School + PHYS2020 + PHYS3020

Recommended prerequisite

Assessment methods

Project and end-of-semester exam.

Course coordinator

Dr Michael Bromley

Current course offerings

Course offerings Location Mode Course Profile
Semester 2, 2017 St Lucia Internal Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

This course introduces several numerical simulation techniques used in computational physics, including Monte Carlo statistical methods, and their application to a variety of physical problems. Topics covered include properties of floating-point numbers, solution of large linear systems, Monte Carlo integration, random numbers and statistical reliability, the Metropolis algorithm, finite-size scaling, and the solution of stochastic differential equations. The course will also cover some topics in advanced MATLAB programming, including vectorization, optimization, and debugging techniques.

Archived offerings

Course offerings Location Mode Course Profile
Semester 2, 2018 St Lucia Internal Profile unavailable
Semester 2, 2016 St Lucia Internal Course Profile
Semester 2, 2015 St Lucia Internal Course Profile
Semester 2, 2014 St Lucia Internal Course Profile
Semester 2, 2013 St Lucia Internal Course Profile
Semester 2, 2012 St Lucia Internal Course Profile
Semester 2, 2011 St Lucia Internal Course Profile
Semester 2, 2010 St Lucia Internal Course Profile
Semester 2, 2008 St Lucia Internal Course Profile