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1993 Swinburne Higher Education Handbook

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SM127 Mathematics 1<br />

Five hours per week for one semester<br />

Assessment by tesWexamination and assignments<br />

A first-year subject of the degree course in computer science, and in<br />

mathematics and computer science.<br />

Subject description<br />

Numerical calculations<br />

Simple calculations, including mathematics of finance (interest;<br />

annuities, net present value; internal rate of return). lntroduction to<br />

numerical methods. Errors and their propagation. Numerical solution<br />

of equations by graphical and iterative methods.<br />

Plane analytic geometry<br />

&ordinate geometry in Cartesian cwrdinates; graphs of linear, polynomial,<br />

rational and power functions and of conic sections.<br />

Functions of one variable<br />

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

continuity.<br />

Calculus<br />

Differentiation: geometric interpretation; derivatives of standard functions;<br />

product, quotient and chain rules; implicit differentiation.<br />

Applications of differentiation: graph sketching; related rates;<br />

optimisation; differentials and approximations; Taylor polynomials;<br />

CHopital's rule.<br />

Intearation: definite and indefinite intearals and their inter~retations:<br />

irn"rals of standard functions; integration by substitution and by parts;<br />

imp-kper integrals; systematic integration d rational functions and of<br />

oroducts of triaonometric - functions. Numerical inte~ration. -<br />

Applications of integration: areas, volumes, lengths of curves and<br />

surface areas of surfaces of revolution; integrals of rates of change.<br />

Textbooks<br />

Hunt, R.A., CaIcuIus with Anslytic Geometfy New York: Harper & Row,<br />

1988<br />

prescribed Calculator<br />

Texas Instrument Advanced Scientific TI81<br />

SM214 Mathematical Methods<br />

Four hours per week for one semester<br />

Prerequisite. SM108<br />

Assessment by testdexamination and assignments<br />

A first-year subject of the degree courses in computer-aided chemistry<br />

and computer-aided biochemistry.<br />

Subject description<br />

Linear algebra<br />

Matrices, determinants and the solution of systems of linear equations.<br />

First order differential equations<br />

The solution of separable first order differential equations with<br />

applications.<br />

Functions of several variables<br />

Partial differentiation; differentials and approximations; an introduction<br />

to optimisation.<br />

Descriptive statistics<br />

Numerical and graphical methods for summarising and presenting<br />

data. Cross-tabulation.<br />

The MlNlTAB computer package is used in the statistical studies.<br />

Pmbability<br />

Pmbability and probability distributions such as binomial, Poisson and<br />

normal.<br />

Inferential statistics<br />

Hypothesis tests and confidence intervals for means, proportions and<br />

variances using the t, chi-square and F disributlons<br />

Regression and correlation<br />

Scatterplots, the Pearson correlation coefficient, and linear least<br />

squares regression for one predictor. Applications to analytical<br />

chemistry.<br />

Faculty of Appiled Science<br />

SM225 Operations Research 2<br />

Two hours per week for one semester<br />

Assessment by examination and assignments<br />

A first-par subject of the degree course in mathematics and computer<br />

science.<br />

Subject description<br />

History and methodology<br />

Development of Operations Research: inter-disciplinary team; in-house<br />

OR teams; consultancy teams; methodology; role of techniques;<br />

application problems; problem formulation; model building; testing;<br />

validating; design and data problems; implementation; OR literature;<br />

OR societies.<br />

Introduction to linear Droarammina<br />

Formulation of linear pbgkmming iroblems: graphical solution of two<br />

variable problems; sensitivity analysis, transportation problems. Use<br />

of computer packages such as SASIOR.<br />

Assignment<br />

Maximum and minimum problems.<br />

Inventory control<br />

Inventorj. systems: economic order quantity; backorders; continuous<br />

replenishment; quantity discount; safety stock under uncertainty.<br />

SM226 Applied Statistics 2<br />

Two hours per week for one semester<br />

Assessment by testslexamination and assignments<br />

A first-year subject of the degree course in mathematics and computer<br />

science.<br />

Subject description<br />

Applications of probability<br />

Continuous Drobabilitv distributions. includina exwnential and normal:<br />

expected values of dontinuous random vazabies; applications.<br />

Statistical inference<br />

Drawing random samples from finite and infinite populations.<br />

The sampling distributions t and chi-square: their use in hypothesis<br />

testing and estimation of means, proportions and variance. Examples<br />

of non-parametric hypothesis tests.<br />

The MlNlTAB computer package will be used in this subject.<br />

SM227 Mathematics 2<br />

Three hours per week for one semester<br />

Assessment by testdexamination and assignments<br />

A first-year subject of the degree course in mathematics and computer<br />

science.<br />

Subject description<br />

Matrix algebra<br />

Matrices and matrix algebra: determinants. Systems of linear<br />

equations; Cramer's rule; Jordan and Gaussian elimination; matrix<br />

inversion; procedures for numerical solution by direct and iterative<br />

methods.<br />

2D polar coordinates<br />

Definitions: graphs of equations; transformation to and from Cartesian<br />

coordinates; curve length and area.<br />

Vectors and geometry<br />

2D vectors: dot-product and resolution; parametric equations of 2D<br />

curves; vector differentiation.<br />

30 space: Cartesian and polar co-ordinates; simple surfaces and<br />

curves in space.<br />

3D vectors: dot and cross-products; vector equations of lines and<br />

planes; parametric equations of 3D curves.<br />

Functions of many variables<br />

Graphs of surfaces as functions of two or three variables: partial differentiation<br />

and applications; directional derivatives and gradients;<br />

tangent planes to surfaces; differentials and approximations; optimisation<br />

and applications.<br />

Textbooks<br />

Hunt, R.A., Calculus with Analytic Geometv. New York: Harper & Row,<br />

1988<br />

Prescribed Calculator<br />

Texas Instrument Advanced Scientific T181

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