Honours in the School of Mathematics and Statistics

General Information

This page contains brief information on honours in the School of Mathematics and Statistics at the University of Sydney. Students may take honours in Applied Mathematics, Pure Mathematics or Mathematical Statistics. In all cases, assessment is by a combination of coursework (~60%) and a project (~40%). While the three divisions offer courses separately, the honours program is flexible and students are encouraged to consult their course coordinator if they are interested in taking a course from another division. Lists of the lecture courses offered by Applied Mathematics, Pure Mathematics and Mathematical Statistics appear below. More detailed information is available from the course coordinators and the various handbooks.

Students should be aware of the University's plagiarism policy.

Exam timetable for first semester

Geometric Mechanics will have a take home exam. All other exams will be held in the Access Grid Room.

UPDATE: The Functional Analysis exam has been moved to Carslaw Laboratory 729/730.

• Advanced Option Pricing (Rutkowski): 1pm Friday June 14th (week 14)
• Functional analysis (Parkinson): 10 am Monday, June 17th (week 14)
• SDEs (Wang): 1pm Tuesday, June 18 (week 15)
• Algebraic topology (Zhou Zhang):10am Wednesday, June 19th (week 15)
• PDE Models in Maths Biology (Kim): 1pm Wednesday, June 19th (week 15)
• Prob (Weber): 1pm Thursday, June 20th (week 15)
• Robust/EVT (Mueller/Stewart): 1pm Monday, June 24th (week 16)
• Commutative algebra (Ruibin Zhang): 10am Wednesday, June 26th (week 16)
• Geometric Mechanics (Dullin): June 11th–13th (week 14)

Course Coordinators

The following people are available to discuss the honours program.

person	office	phone	email
Martin Wechselberger (applied)	Carslaw 628	9351 3860	am4coord@maths.usyd.edu.au
Emma Carberry (pure)	Carslaw 723	9351 3796	pm4coord@maths.usyd.edu.au
Michael Stewart (statistics)	Carslaw 818	9351 5765	st4coord@maths.usyd.edu.au

Handbooks

The handbooks contain detailed information including assessment details, important dates, course outlines, an outline of the project requirement including a list of possible projects and supervisors. Students should ensure they have a copy of the relevant handbook.

The handbooks for Honours in Applied Mathematics (2013) and Pure Mathematics (2013) and Mathematical Statistics (2009) are available here.

Honours Lecture Courses

Following is a list of courses offered by the divisions of Applied Mathematics, Pure Mathematics and Mathematical Statistics. Students in Mathematics may also take advanced third year units – see the Senior Mathematics page for a list of these. Consult your course coordinator if you are interested in taking a course from another division.

Applied Mathematics

First Semester	Second Semester
Geometric Mechanics (Holger Dullin) Computational Methods in Applied Mathematics (Leon Poladian) PDE Models in Mathematical Biology (Peter Kim) Advanced Option Pricing (Marek Rutkowski)	Interest Rate Models (Ben Goldys) Numerical Complex Analysis (Sheehan Olver) Geometric Singular Perturbation Theory (Martin Wechselberger)

Pure Mathematics

First Semester	Second Semester
Algebraic Topology (Zhou Zhang) Commutative Algebra (Ruibin Zhang) Functional Analysis (James Parkinson)	Introduction to Riemannian Geometry (Emma Carberry and Florica Cîrstea) Spectral Theory and PDEs (Norman Dancer) Quantum Groups (Gus Lehrer)

Mathematical Statistics

First Semester	Second Semester
Probability theory (Neville Weber) Robust and nonparametric methods/Extreme Value Theory (Samuel Müller and Michael Stewart) Applied Probability and Stochastic DEs (Qiying Wang)	Advanced Time Series Analysis (Shelton Peiris) Statistical Methods in Bioinformatics (Uri Keich and Jean Yang) Generalized linear models/Monte Carlo Methods (Jennifer Chan and John Ormerod)

(Subject to the approval of the relevant coordinator, honours students may take courses offered by another division within the School of Mathematics and Statistics, or another School, or even another university. Students are advised to check the courses offered in January and February at the AMSI Summer School and also courses available via the access grid.)

More detailed information about courses and assessment can be obtained from the relevant handbook or course coordinator.