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MXB326 Computational Methods 2

Advanced computational methods underpin essentially all modern computer simulations of complex real-world processes.  This unit will significantly extend your toolset of computational methods, particularly for the solution of complex partial differential equation models of real phenomena.  You will gain critical expertise and experience at building practical, efficient computer codes which will leverage advanced theoretical and algorithmic considerations that draw upon your full range of mathematical and computational knowledge and skills in linear algebra and calculus.

Unit information

Unit code
MXB326
Faculty
Science and Engineering Faculty
School/Discipline
Mathematical Sciences
Study area
Science and mathematics
Credit points
12

Dates and locations

Teaching period Dates Locations
Semester 1, 2020 24 February 2020 - 19 June 2020 Gardens Point
See all available class timetables for this unit

Previous study requirements

Prerequisites
MXB202 and (MXB226 or MXB222)
Anti-requisites
EGB324

Guide to previous study requirements

Prerequisites
To enrol in this unit, you must have completed these prerequisite units (or have credit, advanced standing or exemption for them), or be able to demonstrate that you have equivalent background knowledge.
Anti-requisites
You can’t enrol in this unit if you have completed any of these anti-requisite units.
Co-requisites
To enrol in this unit, you must have already completed these co-requisite units, or you must enrol in them at the same time.
Equivalents
You can’t enrol in this unit if you have completed any of these equivalent units.
Assumed knowledge
We assume that you have a minimum level of knowledge in certain areas before you start this unit.

Unit outlines

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Disclaimer: Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.