Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Class hours

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 enquiries

Dr Ian McCulloch (ianmcc@physics.uq.edu.au)

This course is not currently offered, please contact the school.

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 1, 2022 (21/02/2022 - 21/06/2022) External External Course Profile
Semester 1, 2022 (21/02/2022 - 21/06/2022) St Lucia Internal Course Profile
Semester 1, 2021 (22/02/2021 - 19/06/2021) St Lucia Flexible Delivery Course Profile
Semester 1, 2021 (22/02/2021 - 19/06/2021) External External Course Profile
Semester 1, 2020 (24/02/2020 - 11/07/2020) St Lucia Internal Course Profile
Semester 2, 2019 (22/07/2019 - 16/11/2019) St Lucia Internal Course Profile
Semester 2, 2018 (23/07/2018 - 17/11/2018) St Lucia Internal Course Profile
Semester 2, 2017 (24/07/2017 - 18/11/2017) St Lucia Internal Course Profile
Semester 2, 2016 (25/07/2016 - 19/11/2016) St Lucia Internal Course Profile
Semester 2, 2015 (27/07/2015 - 21/11/2015) St Lucia Internal Course Profile