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1997 QUT Handbook

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■ MAB929 TIME SERIES & STATISTICAL<br />

FORECASTING<br />

Trend and seasonal effects; stationarity; linear models; recursive<br />

methods; linear and non-linear forecasting; state<br />

space models; Kalman filter; frequency domain; spectral estimation;<br />

dynamical systems and chaos; applications to epidemics,<br />

finance, environment; statistical computing for time<br />

series.<br />

Courses: IF34, IF42, IF44, IF58, MA34, SC30, SC60, SC80,<br />

IF49, IF71<br />

Prerequisites: MAB303, MAB304, MAB647, MAB648<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB933 MATHEMATICAL BIOLOGY<br />

Population ecology, using both discrete and continuous models;<br />

predator-prey interactions; enzyme kinetics; epidemics and<br />

developmental biology.<br />

Courses: IF34, IF58, IF71, MA34, SC30<br />

Prerequisites: MAB601, MAB612, MAB632<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB941 MATHEMATICAL MODELLING IN<br />

ECONOMICS<br />

Differential and difference equations in economic dynamics;<br />

multi-market equlibrium; equilibrium of dynamic macroeconomic<br />

models; stability; optimal control theory.<br />

Courses: IF34, IF58, IF71, MA34, SC30<br />

Prerequisites: MAB642<br />

Corequisites: MAB601<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB942 OPTIMISATION METHODS<br />

Numerically based algorithms for function optimisation and<br />

non-linear equation solving; classical methods of optimising<br />

non-linear functions with non-linear inequality constraints;<br />

global optimisation strategies.<br />

Courses: IF34, IF42, IF44, IF58, IF71, MA34, SC30, SC80<br />

Prerequisites: MAB601, MAB618<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB960 PROJECT WORK<br />

Projects vary in nature and may involve the collection and<br />

evaluation of mathematical techniques in some field of interest<br />

or the formulation of a problem of interest and the derivation<br />

of a solution. Practical community/industry orientated<br />

projects are encouraged. Each project is undertaken by a student,<br />

or group of students, and is supervised by a member of<br />

staff who provides guidance throughout the duration of the<br />

project.<br />

Courses: IF34, IF58, IF71, MA34, SC30<br />

Prerequisites: Successful completion of at least 192 credit<br />

points including at least two units from List D of the course<br />

requirements<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB970 PROBABILITY THEORY &<br />

STOCHASTIC PROCESSES<br />

Probability measures, conditional probability; distributions and<br />

random variables. Convergence of random variables; strong<br />

and weak laws of large numbers; central limit theorems.<br />

Markov processes: birth and death, queues; epidemics; inference.<br />

Point processes: marked point processes; filtered processes;<br />

inference, simulation. Branch process.<br />

Courses: IF34, IF44, IF58, IF71, MA34, SC60, SC30, SC80,<br />

IF49<br />

Prerequisites: MAB647<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB971 ADVANCED MATHEMATICS OF<br />

FINANCE<br />

Background to investment, investment objectives and philosophy;<br />

stochastic interest rates, modern portfolio theory, CAPM,<br />

APT; operations of futures and options markets. Mathematical<br />

aspects of pricing derivative securities.<br />

Courses: IF34, IF58, IF71, MA34, SC30, SC60, SC80<br />

Prerequisites: MAB641<br />

Credit Points: 12 Contact Hours: 4 per week<br />

754<br />

■ MAB973 PARTIAL DIFFERENTIAL EQUATIONS<br />

Derivation of first and second order partial differential equations;<br />

solution of partial differential equations by characteristics,<br />

separation of variables and Laplace and Fourier transforms;<br />

a study of Schrodinger’s wave equation.<br />

Courses: IF34, IF42, IF44, IF58, IF71, MA34, SC30, SC60,<br />

SC80, IF49<br />

Prerequisites: MAB601 or MAB602, MAB612<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB974 SAMPLING & SURVEY TECHNIQUES<br />

Random sampling; estimates; design of questionnaires; data<br />

quality and errors in surveys; systematic, cluster and double<br />

sampling plans; imputation techniques; alternatives to household<br />

surveys.<br />

Courses: IF34, IF42, IF58, IF71, MA34, SC30, SC60, SC80<br />

Prerequisites: MAB647, MAB648<br />

Credit Points: 12 Contact Hours: 4 per week<br />

■ MAB975 ORDINARY DIFFERENTIAL<br />

EQUATIONS & CHAOS<br />

Ordinary differential equations; eigenvalues of systems of<br />

ordinary differential equations; system stability using phase<br />

plane portraits; bifurcations; chaotic systems; analytic and<br />

numerical solution of equations describing systems with singular<br />

and chaotic behavour; iterative maps; Mandelbrot and<br />

Julia-type fractals.<br />

Courses: IF44, SC60, SC80, IF49<br />

Prerequisites: MAB601, MAB612, MAB911<br />

Credit Points: 12 Contact Hours: 3 per week<br />

■ MAB976 RELIABILITY & SURVIVAL ANALYSIS<br />

Failure rates; life distributions and inference; extreme values;<br />

fitting tails; flood data; IFR, NBU; system reliability; censored<br />

sampling; Cox’s proportional hazards model; competing<br />

hazards.<br />

Courses: SC60, SC80, IF49<br />

Prerequisites: MAB647, MAB648<br />

Credit Points: 12 Contact Hours: 3 per week<br />

■ MAB977 SCHEDULING & NETWORKS<br />

Inventory systems, production planning and scheduling: aggregate<br />

planning and master scheduling, requirement planning,<br />

LP, LDR and SDR techniques. Scheduling problems,<br />

sequencing problems, flow-shop and job shop scheduling problems.<br />

Network flows.<br />

Courses: SC60, SC80 Prerequisites: MAB927, MAB928<br />

Credit Points: 12 Contact Hours: 3 per week<br />

■ MAB978 STATISTICAL SIGNAL PROCESSING &<br />

IMAGE ANALYSIS<br />

Signal processing; time domain; Kalman filtering and prediction.<br />

Frequency domain: spectral representation of stationary<br />

processes. Inference for the spectrum of a stationary process.<br />

The cross spectrum. Spectral representation of multivariate<br />

stationary time series. Prediction in the frequency domain.<br />

Statistical image analysis: spatial processes. Regression and<br />

spatial auto-correlation. Two dimensional spectral analysis,<br />

two dimensional filtering and image enhancement. Image<br />

compression.<br />

Courses: IF44, SC60, SC80, IF49 Prerequisites: MAB929<br />

Credit Points: 12 Contact Hours: 3 per week<br />

■ MAB979 STATISTICAL MODELLING & DATA<br />

ANALYSIS<br />

Multivariate analysis concepts; multivariate normal and estimation,<br />

multivariate graphical techniques, discriminant<br />

analysis, principal components, factor analysis, clustering<br />

methods. Modern data analysis techniques: including decision<br />

trees, the bootstrap and other resampling techniques,<br />

generalised additive models, and Monte Carlo Markov<br />

Chains.<br />

Courses: SC60, SC80, IF49 Prerequisites: MAB601,<br />

MAB907<br />

Credit Points: 12 Contact Hours: 3 per week<br />

■ MAB981 APPLIED STATISTICAL INFERENCE<br />

Modern approaches to data analysis and inference; estimat-

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