School of Mathematics and Statistics

The School's graduate programs contain a broad spectrum of topics in Pure and Applied Mathematics and Statistics. The topics attempt to bring you near the frontier of each area. The following is a provisional list of Graduate courses and lecturers for 2009.

Semester 1 2009

MATH5165	Optimization	V Jeyakumar
MATH5185	Quasi-Monte Carol Numerical Integration	J Dick
MATH5305	Computational Maths	B McLean
MATH5605	Functional Analysis	F Sukochev
MATH5705	Analysis	T Bates
MATH5735	Algebra III (Modules and Representation Theory)	A Dooley
MATH5785	Geometry	N Wildberger
MATH5835	Stochastic Processes	B Goldys
MATH5846	Introduction to Probability & Stochastic Processes (Weeks 1-6)	DM Salopek
MATH5856	Introduction to Statistics & Statistical Computations (Weeks 7-12)	Y Fan
MATH5885	Longitudinal Data Analysis	W Dunsmuir
MATH5916	Survival Analysis	S Galbraith
MATH5965	Discrete Time Financial Modelling	M Rutkowski
MATH5975	Introduction to Stochastic Analysis	B Goldys
MATH5995	Special Topics in Financial Maths - Credit Risk	M Rutkowski

Semester 2 2009

MATH5175	Modeling Infectious Diseases: Epidemiology (Not Offered in 2009)	J Murray
MATH5215	Special Topic(Applied Maths) Nonlinear & Statistical Dynamics	B Henry
MATH5285	Fluids, Oceans and Climate	P Blennerhassett & A Sen Gupta
MATH5335	Computational Methods for Finance	W McLean
MATH5535	Special Topic(Pure Maths)Irrationality & Transcendence	D Angell
MATH5685	Complex Analysis	H Grundling
MATH5725	Galois Theory	D Chan
MATH5825	Measure, Integration & Probability	T Bates
MATH5805	Special Topic (Statistics) Stochastic Differential Equations	B Goldys
MATH5806	Applied Regression Analysis	B Brown
MATH5816	Continuous Time Financial Modelling	M Rutkowski
MATH5826	Statistical Methods in Epidemiology	S Galbraith
MATH5845	Time Series	W Dunsmuir
MATH5905	Statistical Inference	S Penev
MATH5960	Bayesian Inference and Computation	Y Fan & S Sisson
MATH5985	Term Structure Modelling	M Rutkowski