| Credit | 6 points | ||
| Availability | Semester 2 (see Timetable) | ||
| Old unit code | 610.206, CITS2140 | ||
| Outcomes | Students are able to create mathematical and numerical models of simple but realistic engineering systems; solve numerical and statistical models using a computer and critically assess results; understand when an engineering system may be treated as linear and when nonlinear treatment is necessary as well as when the system can be considered probabilistic and when statistical methods are required; use mathematical software (e.g. Excel, MATLAB and Mathematica) to efficiently analyse and solve problems in engineering; apply the knowledge of basic science and engineering fundamentals; and undertake problem identification, formulation and solution. | ||
| Content | This unit gives an introduction to the numerical and statistical analysis of engineering problems using the spreadsheet program Excel, the mathematical package Mathematica, and the MATLAB programming environment. Exercises are solved using techniques associated with numerical integration, search algorithms, relaxation schemes, root finding and linear algebra. The emphasis is on the modelling and solving of linear and nonlinear algebraic and differential equation systems, and statistical methods. | ||
| Assessment | This comprises an examination and assignments. The examination gives students the opportunity to demonstrate their abilities to independently formulate a solution to a problem. Challenging problems are set for the examination. The purpose is not to test memory, but to test the student's ability to solve a problem. Complete case studies are selected for assignments. Students have to develop mathematical and numerical models of the problem, solve the numerical model on a computer and assess the validity of the results. An important part of each assessment is a written report, which must be clear, concise and informative, and must have an executive summary (word number limits apply). Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete the course. | ||
| Unit Co-ordinator(s) | Winthrop Professor Arcady Dyskin, Professor Karol Miller and Professor Victor Sreeram | ||
| Location | UWA (Crawley) | ||
| Mode | on-campus | ||
| Unit Rules |
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| Unit web page | http://www.civil.uwa.edu.au/teaching
[Some unit web pages are still under construction and will be available in 2010.] | ||
| Text |
Nakamura, S. Numerical Analysis and Graphic Visualisation with MATLAB: Prentice Hall 1996 | ||
| Recommended reading |
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