ANU Home | Search ANU | Faculty of Science
The Australian National University
Department of Mathematics
Honours level courses
Printer Friendly Version of this Document

Honours Level Courses in Mathematics

The Mathematics Department is almost unique in beginning Honours courses from the first year of study. These units are open to anyone with the appropriate prerequisites, not only those intending to undertake a fourth (Honours) year in mathematics. They are strongly recommended for students needing to apply mathematics in other disciplines. They will be found particularly useful for students in the physical and biological sciences, engineering, computer science and mathematical economics.

INFORMATION SESSIONS: 30/10/00, 17/8/01 see below.

First Year

See the Department of Mathematics for links to the Mathematics Handbook and to the Homepages for first year courses.

Which Course? Students who have done the equivalent of Four Unit Mathematics in New South Wales, or Double Major Extended Mathematics in the Australian Capital Territory, and who feel relatively comfortable with this level of mathematics, should normally enroll in MATH1115 (Mathematics and Applications Honours) rather than MATH1013 (Mathematics and Applications). Students who have done very well in Three Unit Mathematics or Major Minor Mathematics, may also be permitted to enroll in MATH1115, but should discuss this either with an adviser during enrolment week or with a member of the Mathematics Department.

What is the difference? MATH1115 covers the same Calculus and Linear Algebra material as does MATH1013, but there is an additional Foundations component which covers more theoretical material and which is basic for a deeper conceptual understanding and is important for many applications of mathematics in other fields.

Second and Third Years

It is anticipated at this stage that the courses listed below will be available in 2003. Courses marked with * are honours level versions of courses offered at the pass level. For more detail see the online handbook.

  1st Semester 2nd Semester
Second Year MATH2320: Analysis 1 Honours
MATH2405: Calculus and Differential Equations Honours
MATH2322: Algebra 1 Honours
MATH2406: Partial Differential Equations and Complex Calculus Honours
Third Year MATH3401: Number Theory and Cryptography Honours  
Third/Fourth Year MATH3320: Analysis 2 Honours
MATH3321: Algebra 2 Honours
MATH3322: Mathematical Methods Honours
MATH3342: Differential Geometry (probably semester one)
ASTR3001: Stars and Astrophysical Fluid Dynamics
MATH3501 Scientific and Industrial Modelling
MATH3325: Analysis 3 Honours
MATH3228: Complex Analysis Honours
MATH3134: Environmental Mathematics Honours
MATH3343: Foundations of Mathematics
MATH3029: Probability Honours
ASTR3002: Galaxies and Cosmology
MATH3502 Large Scale Matrix Computations
Fourth Year/Graduate Harmonic Analysis
Probabilistic Modelling by Example
Data Mining
Partial Differential Equations
Algebra (topic to be decided)
Topics in Statistical Science

Suitably qualified second year students may be permitted to take third year courses, and suitably qualified third year students may be permitted to take fourth year/graduate courses (see the honours year in mathematics).

Fourth Year

For full details, including scholarships, see Honours Year in Mathematics.

Mathematical Connections

The opportunities for combining mathematics with other quantitative subjects are much broader than most students realise. If you enjoy doing and/or applying mathematics, the following should help in thinking about further directions of study and about future career possibilities. In the past, students have frequently commented after 3 or 4 years of study that they were unaware of the possibilities that were available to them. The information session was an attempt to address this issue.

The ANU is unique in having associated with the Faculties (undergraduate and graduate students), the Institute for Advanced Studies (IAS). The IAS concentrates on post graduate and graduate students, but increasingly is becoming involved in honours (fourth year) teaching and supervision. This leads to a significantly increased range of possibilities for students. In the past few years we have had students either jointly supervised for an honours degree, or have had students proceed from an honours degree in mathematics to further studies, in almost every Research Institute in the IAS. This indicates the breadth of possibilities for combining high level maths courses with other fields, whether or not you continue to a fourth year in mathematics.  For more information on the IAS begin with the ANU Academic Structure page.

The Mathematical Sciences Institute (MSI) is unique within the ANU in that it spans the IAS (Centre for Mathematics and Its Applications) and the Faculties (Department of Mathematics). MSI consists of Research Groups in Algebra, Abstract Analysis and Geometry, Applied and Nonlinear Analysis, Astronomy and Astrophysics, Stochastic Analysis, Statistical Science, Advanced Computation and Modelling, Mathematical Physics; and the Centres for Bioinformation Science and for Financial Mathematics.

Information Session 30/10/00

The material below consists of overheads presented by Research Groups from MSI, and by Research Groups from elsewhere within the IAS and the ANU. If you want more details, please follow the links or contact the people indicated!

Here is information on bioinformatics and statistics:

Information Session 17/8/01

Here is an excellent site giving an overview of mathematics.

The following material was presented at the information session:

Recent Honours Thesis Areas

Whether or not you do an honours degree in mathematics, the following list of thesis areas for students in the past 5 years also indicates connections between mathematics and other subjects.

  • astrophysics
  • functional analysis
  • partial differential equations
  • differential geometry
  • chaos
  • K-theory
  • fluid flow
  • gene sequences and evolutionary trees
  • data mining
  • numerical analysis, finite elements
  • environmental mathematics
  • image & pattern analysis
  • group theory and other algebra
  • minimal surfaces
  • seismic tomography
  • fractals and wavelets
  • automated reasoning
  • stochastic processes