Course

PHYS3112 Experimental and Computational Physics

Course Description : 

This course will provide the skills and knowledge required to investigate, both experimentally and computationally, a wide range of physical phenomena. The course consists of both lecture and laboratory classes, covering topics such as statistical analysis of data, sampling and information theory, numerical solutions of ordinary differential equations, Fourier transform theory and discrete Fourier transform, spectroscopy, handling and numerical modelling of noise and stochastic processes, inverse problems, experimental control, nonlinear systems, and quantum measurements.

Semester(s) Offered: 

Semester 1

Prerequisites: 

(PHYS2111 or PHYS2113 or PHYS2114 or PHYS2110) and (MATH2089 or (MATH2301 and (MATH2801 or MATH2901)))

Photo of Michael Ashley
Professor

Michael Ashley

Photo of Sarah Martell

Sarah Martell

Photo of Dane McCamey
Associate Professor and ARC Future Fellow

Dane McCamey