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 program 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 program coordinators and the various handbooks.
Students should be aware of the University's plagiarism policy.
Announcements
Applying for Honours
Please keep in mind the Faculty of Science honours application deadlines.
Program Coordinators
The following people are available to discuss the honours program.
person  office  phone  

Robert Marangell (applied) 
Carslaw 720  9351 5795  am4coord@maths.usyd.edu.au 
Emma Carberry (pure) 
Carslaw 723  9351 3796  pm4coord@maths.usyd.edu.au 
Uri Keich (statistics) 
Carslaw 821  9351 2307  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.
You should start with a general overview of the Honours Program. Then, for more details, consult the handbooks for Honours in Applied Mathematics (2014) and Pure Mathematics (2014) and Mathematical Statistics (2014).
Resources
Writing proficiency
The honours essay is also assessed based on the quality of the writing. This does not mean we look for the next Shakespeare however you should make sure you express your ideas in an organized manner using a clear and grammatically correct English. The university offers several resources that can help you achieve this goal. The Learning Centre offers workshops for students that need help with extended written work, and a trove of online resources for improving your writing skills is also available. Make sure you make use of these resources as early as possible as writing skills develop slowly over time and with much practice.
Honours Lecture Courses
Following is a list of honours courses offered by the divisions of Applied Mathematics, Pure Mathematics and Mathematical Statistics. Note that this list is current for 2013 and should be considered tentative for 2014. Students in Mathematics may also take advanced third year units – see the Senior Mathematics page for a list of these. Consult your program coordinator if you are interested in taking a course from another division.
Applied Mathematics
First Semester
 [AMH1] Computational Projects in Applied Mathematics(Sheehan Olver)
 [AMH4] Advanced Option Pricing(Marek Rutkowski)
 [AMH5] PDE Models in Mathematical Biology(Peter Kim)
 [AMH9] Geometric Singular Perturbation Theory(Martin Wechselberger)
Second Semester
 [AMH3] Interest Rate Models(Ben Goldys)
 [AMH7] Advanced Topics in Fluid Dynamics(Geoff Vasil)
 [AMH2] Integrable Systems(Sarah Lobb and Milena Radnovic)
Pure Mathematics
First Semester
 [PMH1] Algebraic Topology(Zhou Zhang)
 [PMH2] Commutative Algebra(Ruibin Zhang)
 [PMH3] Functional Analysis(Alexander Fish)
Second Semester
 [PMH6] Algebraic Curves(Gus Lehrer)
 [PMH9] Introduction to Lie Algebras(Anthony Henderson)
 [PMH8] Spectral Theory and PDEs(Florica Cîrstea)
Mathematical Statistics
First Semester
 [MSH2] Probability theory(Neville Weber)
 [MSH6] Model Selection and Advanced Bayesian Inference(Samuel Müller and John Ormerod)
 [MSH7] Introduction to Stochastic Calculus with Applications(Qiying Wang)
Second Semester
 [MSH3] Extreme Value Theory and Generalized Linear Models(Michael Stewart and Neville Weber)
 [MSH5] Advanced Time Series Analysis and Forecasting Methods(Shelton Peiris)
 [MSH8] Statistical Methods in Bioinformatics(Uri Keich and Jean Yang)
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 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 program coordinator.
Timetable
Last revised 08/08/14
Monday  Tuesday  Wednesday  Thursday  Friday  

9am 


PMH9 : Lecture 830 Henderson A 
PMH8 : Lecture AGR Cirstea FC 

10am 


AMH2 : Lecture AGR Lobb Sarah (Wks 16) Radnovic Milena (Wks 712) Unattended (Week 13) 
PMH9 : Lecture 830 Henderson A 

11am 

MSH3 : Lecture 830 Stewart M (Wks 12,413) Weber NC (Week 3) 
AMH2 : Lecture AGR Lobb Sarah (Wks 16) Radnovic Milena (Wks 712) Unattended (Week 13) 
PMH6 : Lecture 830 Lehrer GI 

noon 

MSH5 : Lecture 830 Peiris MS 
PMH6 : Lecture 830 Lehrer GI 


1pm 



AMH6 : Lecture AGR Unattended (Week 13) Vasil Geoffrey (Wks 112) 

2pm 
MSH8 : Lecture 830 Unattended (Wks 16) Yang YH (Wks 713) 

AMH3 : Lecture 830 Goldys Ben (Wks 112) Unattended (Week 13) 
AMH6 : Lecture AGR Unattended (Week 13) Vasil Geoffrey (Wks 112) 

3pm 
MSH8 : Lecture 830 Unattended (Wks 16) Yang YH (Wks 713) MSH8 : Lecture AGR Keich U (Wks 16) Unattended (Wks 713) 
MSH3 : Lecture 830 Stewart M (Week 2) Weber NC (Wks 1,313) PMH8 : Lecture AGR Cirstea FC 
AMH3 : Lecture 830 Goldys Ben (Wks 112) Unattended (Week 13) 


4pm 
MSH5 : Lecture 830 Peiris MS 

MSH8 : Lecture 830 Keich U (Wks 16) Yang YH (Wks 713) MSH8 : Lecture AGR 

