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1997 Swinburne Higher Education Handbook

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SM255A Engineering Mathematics<br />

10 Credit Points 4.5 hoursper week Hawthorn<br />

Instruction: lectures, tutorials, laboratory work Assessment:<br />

examination 70%, tests 30%<br />

A third year subject in the Bachelor of Civil Engineering<br />

Objectives<br />

To provide students with a thorough grounding in<br />

mathematics and to develop their ability to use mathematics<br />

with understanding to solve engineering problems.<br />

Content<br />

Vector calculus: derivatives of a scalar point function;<br />

derivatives of a vector point function; topics in integration.<br />

Partial differential equations: general discussion; solution of<br />

the wave equation; solution of heat-conduction/diffusion<br />

equation; solution of Laplace equation; finite elements;<br />

general considerations.<br />

Applied probability and statistics: estimating parameters;<br />

joint distributions and correlations; regression; goodness-offit<br />

tests; moment generating functions; analysis of engine<br />

performance data; statistical quality contrcl; Poisson<br />

processes and the theory of queues; BayesO theorem and its<br />

application.<br />

Recommended reading<br />

James, G., Burley D., Dyke, P., Searl, J., Steele, N. &Wright, J.<br />

Advanced Modern Engineering Mathematics. Addison-Wesley, 1994<br />

Rade, L. & Westergren, B. Beta § Mathematics <strong>Handbook</strong>.<br />

Studentlitteratur, 1990<br />

SM255B Engineering Mathematics 5B<br />

10 credit points .4.5 hours per week . Hawthorn .<br />

Prerequisites: SM233 - Assessment: examinations and tests<br />

A common mathematics semester subject in the Bachelor of<br />

Engineering (electrical engineering).<br />

Objectives<br />

To ~rovide students with a thorough grounding in<br />

mathematics and to develop their ability to use mathematics<br />

with understanding to solve engineering problems.<br />

Content<br />

Vector calculus<br />

Fourier and z transforms<br />

Applied probability and statistics<br />

Recommended reading<br />

James, G., et al., Advanced Modern Engineering Mathematics,<br />

Addison Wesley, 1994.<br />

SM278 Design and Measurement 2A<br />

16.5 credit points 4 hours per week daytime or 3.5 hours<br />

evening per week Hawthorn Prerequisites: A YIOO and<br />

AYlOl Assessment: hands on SPSS Computer test, SPSS and<br />

statistics written test and exam<br />

A subject in the Bachelor of Applied Science (Psychology<br />

and Psychophysio1ogy)and the BachelorArts (for students<br />

majoring in psychology)<br />

Ob jedives<br />

A first-semester subject in research design and statistical<br />

analysis planned to complement concurrent and future<br />

studies in psychology.<br />

Content<br />

In this subject the emphasis is on understanding the<br />

methodology of basic research design and how the associated<br />

statistical analysis can provide answers to research questions.<br />

Students also receive instruction in the use of the Statistical<br />

Package for the Social Sciences (SPSS). This computer<br />

package will be used to analyse data both in this course and<br />

in second and third stage courses in psychology.<br />

Topics to be studied include an introduction to computer<br />

based data analysis, one and two-way factorial designs and<br />

the corresponding analysis of variance.<br />

Recommended reading<br />

To be advised.<br />

SM288 Operations Research: An Introduction<br />

to Problem Solving<br />

10 credit points 3 hours per week Hawthorn<br />

Prerequisites: nil Assessment: assignments and examination<br />

A first year subject in the Bachelor of Applied Science<br />

(Mathematics and Computer Science)<br />

Ob jedives<br />

Introduce students to the field of operations research.<br />

Introduce students to the types of mathematical models<br />

ued in operations research.<br />

Help students to develop an approach to problem<br />

solving.<br />

Introduce students to the SAS system.<br />

Content<br />

Development of operations research: inter-disciplinary team;<br />

methodology; role of techniques; problem formulation;<br />

model building; types of models; testing; validating; design<br />

and data problems; implementation; operations research<br />

literature; operations research societies.<br />

Applications of linear programming; formulation; graphical<br />

solution of two variable problems; sensitivity analysis;<br />

computer based solution using SAS.<br />

Applications of Markov chains; formulation; n-step and<br />

steady state probabilities.<br />

Definition of an heuristic; the travelling salesman problems<br />

and scheduling problems.<br />

The SAS program manager, inputting data, sorting and<br />

printing, summarising and plotting data, graphing data,<br />

transferring data and output between packages,<br />

programming using SAS to solve operations research<br />

problems.<br />

Recommended reading<br />

Journal of the Operations Research Society<br />

Winston, W.L. Operations Research: Applications and Algorithms. 3rd<br />

edn, Belmont, Calif., Wadswonh, 1994<br />

<strong>Swinburne</strong> University of Technology <strong>1997</strong> <strong>Handbook</strong> 509

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