AMTH250 Introduction to Scientific Computation
Updated: 28 October 2008| Credit Points | 6 | |||||||||
| Offering |
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| Online level |
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| Intensive School(s) | None | |||||||||
| Supervised Exam | November | |||||||||
| Pre-requisites | MATH102 or 102A or 120; or candidature in postgraduate award in the School of Environmental and Rural Science or School of Science and Technology | |||||||||
| Co-requisites | None | |||||||||
| Restrictions | None | |||||||||
| Notes | on-campus online D; off-campus online E |
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| Combined Units | None | |||||||||
| Coordinator(s) | Gerd Schmalz (schmalz@une.edu.au) | |||||||||
| Unit Description |
A unit introducing students to numerical and computational methods in applied mathematics. The use of software packages such as Scilab and Maxima is taught in order to provide fundamental computational tools for numerical approximation, symbolic manipulation and graphical analysis. Topics include numerical differentiation and integration as well as solving systems of linear equations, alongside basic mathematical principles of error and estimation of computational accuracy. Further topics include principles of random number generation, and iterative schemes for equation-solving. |
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| Prescribed Material Mandatory |
Text information will be published prior to commencement of the teaching period. | |||||||||
| Recommended Material Optional |
Text information will be published prior to commencement of the teaching period. | |||||||||
| Disclaimer | Offer of some subjects is subject to viability. Information in these unit descriptions is subject to change prior to commencement of semester. |