Overview
Partial differential equations (PDEs) provide a natural mathematical description for many phenomena of interest in science and engineering. Such equations are often difficult or impossible to solve using purely analytical (pencil and paper) methods, especially for realistic industrial problems. This course introduces finite difference and finite element methods for elliptic … For more content click the Read More button below.
The course includes a substantial practical component dealing with the computer implementation of the algorithms used for solving partial differential equations. This component of the course is supported by a weekly computer lab. In addition, a weekly tutorial class provides exercises on the mathematical content covered in lectures.
The course is intended for students in mathematics programs, or students in science and engineering programs who have a strong mathematical background and an interest in computer modelling.
Note: Students must have prior experience with computer programming using Python, Matlab or Julia. For example, successful completion of an introductory programming course involving one of these three languages should be sufficient.
Conditions for Enrolment
Prerequisite: 12 units of credit in Level 2 Math courses including (MATH2011 or MATH2111) and (MATH2121 or MATH2221) or (both MATH2019(DN) and MATH2089) or (both MATH2069(CR) and MATH2099)
Delivery
In-person - Standard (usually weekly or fortnightly)
Fees
Type | Amount |
---|---|
Commonwealth Supported Students (if applicable) | $1119 |
Domestic Students | $6840 |
International Students | $6840 |
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)