# 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 |

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 (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 Chris Lustri)

# 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] 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/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.