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1997 Swinburne Higher Education Handbook

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Coordindate geometry in Cartesian coordinates.<br />

Standard functions and their graphs; finite and infinite limits.<br />

Differentiation and its applications; optimisation;<br />

approximations; Taylor polynominals.<br />

Integration and its applications; numerical integration.<br />

Matrices and determinants; systems of linear equations.<br />

Exploratory data analysis; descriptive statistics.<br />

Probability: basic theory; probability distributions, mean<br />

and variance.<br />

Statistical inference: sampling distributions, estimation and<br />

testing of hypotheses.<br />

The MINITAB computer package.<br />

Recommended reading<br />

Prrescribed text: to be advised.<br />

Prescribed Calculator<br />

Texas Instruments Advanced Scientific TI-82 Graphics<br />

Calculator or equivalent.<br />

SM1215 Mathematical Methods<br />

10 credit points per semester. 4 hours per week Prerequisite: nil<br />

Hawthorn Assessment: tests/examination and assignments<br />

This is a first year subject of the Bachelor of Applied Science<br />

(Medical Biophysics and Instrumentation)<br />

Content<br />

Vectors in the two-and three-dimensional space.<br />

Introduction to numerical methods; errors; solution of<br />

equations. Coordinate geometry in Cartesian coordinates.<br />

Standard functions and their graphs; finite and infinite<br />

limits.<br />

Differentiation and its applications; optimisation;<br />

approximations; Taylor polynomials. Integration and its<br />

applications, numerical integration.<br />

Polar coordinates, complex numbers. Ordinary differential<br />

equations. Vector functions and functions of many<br />

variables. Data analysis and probability.<br />

Recommended reading<br />

To be advised.<br />

Prescribed calculator<br />

Texas Instruments Advanced Scientific TI-82 Graphics Calculator<br />

SM2 1 00 Applied Statistics<br />

8 credit points 3 hours per week. Hawthorn Assessment:<br />

tests/examination and assignments<br />

This is a first year subject of the Bachelor of Applied Science<br />

(Environmental Health)<br />

Content<br />

Introduction to health statistics: morbidity and mortality,<br />

vital statistics, standardisation, life tables.<br />

Probability: concepts and basic formulas. Probability<br />

distributions: discrete, including binomial and Poisson;<br />

continuous, including normal. Sampling distributions of<br />

mean, variance and proportion.<br />

Estimation of means, variances and proportions from single<br />

samples. Tests of hypotheses in means, variances and<br />

proportions; comparisons of two groups and of several<br />

groups (analysis of variance). Introduction to experimental<br />

design. Chi-squared tests on goodness of fit.<br />

Correlation and regression. Selected non-parametric<br />

methods.<br />

Introduction to epidemiology: types of study; measures of<br />

risk and of association.<br />

SM3400 Mathematical Methods<br />

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

Prerequisite: SM1200 or SMI21S Assessmar tests,<br />

examinations and assignments<br />

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

(Computing and Instrumentation)<br />

Objectives<br />

Broaden students mathematical techniques and apply to<br />

physics.<br />

Content<br />

A selection of topics from the following:<br />

Real analysis, fourier series of general periodic functions.<br />

Vector analysis<br />

Basic vector manipulation including calculus of vector<br />

functions. Space curves, Serret-Frenet formulas. Special<br />

emphasis on gradient of a scalar field, directional derivative,<br />

divergence and curl of a vector field.<br />

Complex analysis<br />

Algebra and geometry of complex numbers. Functions of a<br />

complex variable. Harmonic functions. Contour integration,<br />

Cauchy integral and residue theorems. Evaluation of definite<br />

integrals. Conformal mapping and applications.<br />

Modern algebra with applications<br />

Groups, rings fields (including Galois fields). Vector spaces,<br />

polynomials with binary coefficients. Linear block codes,<br />

parity check matrices and standard arrays. Cyclic codes,<br />

generator polynomials. Hamming codes.<br />

Recommended reading<br />

Semesters 1 and 2<br />

Boas, M.L., Mathematical Methods in the Physical Sciences. 2nd edn,<br />

New York, Wiley, 1983<br />

Semester 2 only<br />

Anton, H., Calculus with Analytic Geometry, 5th ed. New York,<br />

Wiley, 1995<br />

Hill, R., A First Course in Coding Theo y. Oxford, Oxford<br />

University Press, 1990<br />

Wong, Chien Wa, Introduction to Mathematical Physics, Oxford<br />

University Press, 1991<br />

<strong>Swinburne</strong> University of Technology 1 997 <strong>Handbook</strong> 5 1 9

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