GAS2642

Engineering mathematics 2

Dr Alistair Carr , Associate Professor Philip Rayment and Dr David Wilson

6 points - 58 hours lectures and 20 hours tutorials - Second Semester - Distance - Prerequisite: GAS1642 (and a computer programming subject is desirable)

Objectives The student is expected to achieve a basic understanding of multivariable calculus techniques and the ability to apply these to the analysis of engineering/scientific problems; develop basic skills in using the Laplace transform to solve linear ordinary differential equations, and in finding the Fourier series of a periodic function and using its convergence properties; be able to employ any of a suite of numerical approximation techniques and to have a good idea of the likely numerical imprecision inherent in the results; demonstrate an understanding of basic principles of good experimental design, and be able to use a range of techniques for presenting data and drawing valid conclusions.

Synopsis Advanced engineering calculus: multivariable calculus, scalar and vector fields, Laplace transforms and Fourier series. Numerical methods: numerical approximation techniques, error analysis, examination of computorial efficiency, use of software packages. Statistics: experimental design, data manipulation, probability models, inference for comparative experiments and factorial designs.

Assessment - Three assessment assignments: 35% - One 3-hour examination and one 2-hour examination: 65%

Prescribed texts

Gerald C F and Wheatley P O Applied numerical analysis 5th edn, Addison-Wesley, 1994
O'Neil P Advanced engineering mathematics 4th edn, Wadsworth, 1995
Hogg RV and Ledolter J Applied statistics for engineers and physical scientists 2nd edn, Macmillan, 1992

Back to the 1999 Science Handbook