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
Lecture Course by Shrawan Kumar
Professor Shrawan Kumar from the University of North Carolina, an expert in a wide range of areas in geometry and representation theory, will be visiting the School in Semester 2 as part of his sabbatical. He is going to give a lecture course on the proof of the Verlinde dimension formula.
Applying for Honours
When applying for honours through the faculty of science web interface you will be asked to upload a "proof of contact" / "expression of interest" document. For this purpose, please download and fill the School's Expression of Interest form.
Please keep in mind the Faculty of Science honours application deadlines.
Potential students from other states should be aware of the Honours Relocation Scholarship. This scholarship valued at $6000 is to facilitate students from interstate enrolling in an Honours degree in the Faculty of Science at the University of Sydney by assisting to defray costs incurred in moving interstate in order to enrol in the Honours year. The student must have a minimum SCIWAM of 80 and with the current terms must be moving from outside of NSW ( terms and conditions of the scholarship).
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 
Laurentiu Paunescu (pure) 
Carslaw 721  9351 2969  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 (2015) and Pure Mathematics (2015) and Mathematical Statistics (2015).
Resources
University of Sydney Honours Scholarships
These $6,000 Honours Scholarships are awarded annually on the basis of academic merit and personal attributes such as leadership and creativity.
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. 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)
 [AMH2] Integrable Systems(Sarah Lobb and Milena Radnovic)
 [AMH4] Advanced Option Pricing(Ben Goldys)
 [AMH5] PDE Models in Mathematical Biology(Peter Kim)
Second Semester
 [AMH6] Advanced Topics in Fluid Dynamics(Geoff Vasil)
 [AMH7] Backwards Stochastic Differential Equations(Marek Rutkowski)
 [AMH9] Geometric Singular Perturbation Theory(Martin Wechselberger)
Pure Mathematics
First Semester
 [PMH1] Algebraic Topology(Zhou Zhang)
 [PMH2] Commutative Algebra(Oded Yacobi)
 [PMH3] Functional Analysis(Alexander Fish)
Second Semester
 [PMH6] Algebraic Curves(Gus Lehrer)
 [PMH7] Introduction to Riemannian Geometry(Leo Tzou and Emma Carberry)
 [PMH8] Spectral Theory and PDEs(Florica Cîrstea)
Mathematical Statistics
First Semester
 [MSH3] Generalized Linear Models(Jennifer Chan)
 [MSH6] Model Selection and Extreme Value Theory(Samuel Müller and Michael Stewart)
 [MSH7] Introduction to Stochastic Calculus with Applications(Qiying Wang)
Second Semester
 [MSH1] Advanced Bayesian Inference(John Ormerod)
 [MSH2] Probability theory(Neville Weber)
 [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 04/08/15
Monday  Tuesday  Wednesday  Thursday  Friday  

9am 

PMH7 : Lecture 830 Tzou L (Wks 16) Unattended (Wks 713) 

PMH7 : Lecture 830 Tzou L (Wks 16) Unattended (Wks 713) 

10am 
PMH7 : Lecture AGR Carberry EE (Wks 713) Unattended (Wks 16) 
PMH8 : Lecture AGR Cirstea FC 
AMH9 : Lecture AGR Unattended (Week 13) Wechselberger M (Wks 112) 
PMH8 : Lecture AGR Cirstea FC 

11am 
PMH7 : Lecture AGR Carberry EE (Wks 713) Unattended (Wks 16) 
PMH6 : Lecture 830 Lehrer GI 
AMH9 : Lecture AGR Unattended (Week 13) Wechselberger M (Wks 112) 
PMH6 : Lecture 830 Lehrer GI 

noon 

AMH7 : Lecture 830 Rutkowski M (Wks 112) Unattended (Week 13) 

MSH1 : Lecture 830 Ormerod J 

1pm 
MSH2 : Lecture 830 Unattended (Wks 12) Weber NC (Wks 313) 
AMH7 : Lecture 830 Rutkowski M (Wks 112) Unattended (Week 13) 
MSH2 : Lecture 830 Unattended (Week 1) Weber NC (Wks 213) 
MSH1 : Lecture 830 Ormerod J 

2pm 
MSH8 : Lecture 830 Unattended (Wks 813) Yang YH (Wks 17) 
MSH8 : Lecture AGR Keich U (Wks 713) Unattended (Wks 16) 
AMH6 : Lecture 830 Unattended (Week 13) Vasil Geoffrey (Wks 112) 
MSH8 : Lecture AGR Keich U (Wks 813) Unattended (Wks 17) 

3pm 
MSH8 : Lecture 830 Unattended (Wks 713) Yang YH (Wks 16) 
MSH2 : Lecture 830 Unattended (Wks 1,513) Weber NC (Wks 24) 
AMH6 : Lecture 830 Unattended (Week 13) Vasil Geoffrey (Wks 112) 

