Offered By	ANU Joint Colleges of Science
Academic Contact	Dr Linda Stals and Dr Barry Croke
Areas of Interest	Economics, Engineering, Environmental Studies, Mathematics, and Science

Models are becoming an increasingly important tool in many branches of modern society due to advances in science and technology.  As our understanding of these models improves, the complexity of the types of questions being asked increases. The objective of this major is to train students in techniques of model development, use and assessment.

A key requirement for future scientists, industry leaders, resource managers, and policy makers is an ability to build and evaluate models and/or interpret model outputs. Career opportunities for graduates extend into every part of society, including: research (e.g. CSIRO, Universities); public sector (e.g. Bureau of Meteorology, Murray Darling Basin Authority, state government agencies); and private sector (e.g. engineering, finance).

It is envisaged that students will take this major in conjunction with a major from their application area. For example, students may choose to complement this major with a quantitative applications major such as:  physics; earth and environmental science; global change science; climate science and policy; environmental geoscience; geophysics; quantitative finance; or mathematical finance.

Coupled with a detailed disciplinary base, this major will provide students with the necessary skills to tackle the problems facing tomorrow's society.

Requirements

This major will consist of a minimum of 42 units of courses including:

(a) COMP1100: Introduction to Programming and Algorithms or COMP1130: Data Structures and Algorithms or COMP1730: Programming for Scientists.

(b) MATH2305: Differential Equations and Applications or MATH2405: Maths Methods 1 Honours: Ordinary Differential Equations and Advanced Vector Calculus.

(c) MATH2306: Partial Differential Equations and Applications 1 or MATH2406: Maths Methods 2 Honours: Partial Differential Equations, Fourier Analysis and Complex Analysis.

(d) STAT2001: Introductory Mathematical Statistics or STAT2008: Regression Modelling.

(e) MATH3511: Scientific Computing.

(f) MATH3501: Scientific and Industrial Modelling.

(g)  One of the following C level courses

MATH3116: Applied Analysis 1 Honours: Metric Spaces and Applications.

MATH3133: Environmental Mathematics.

MATH3512: Matrix Computations.

MATH3514: Numerical Optimization.

MATH3301: Number Theory and Cryptography.

MATH3062: Fractal Geometry and Chaotic Dynamics.

MATH3320: Analysis 2 Honours: Topology, Lebesgue Integration and Hilbert Spaces.

MATH3342: Differential Geometry Honours.

MATH3228: Complex Analysis Honours.

MATH3325: Analysis 3 Honours: Functional Analysis, Spectral theory and Applications.

MATH3341: Theory of Partial Differential Equations Honours.

MATH3346: Data Mining Honours.

 

STAT3015: Generalised Linear Modelling.

STAT3008: Applied Statistics.

STAT3011: Graphical Data Analysis.

STAT3012: Design of Experiments and Surveys.

 

COMP3320: High Performance Scientific Computing.

COMP4300: Parallel Systems.

COMP3110: Software Analysis and Design.

COMP3420: Advanced Databases and Data Mining.

COMP3600: Algorithms.

COMP3630: Theory of Computation

Advice

• In first year students should take MATH1013/MATH1115 and MATH1014/MATH1116.
• Students should take STAT1003 if they take STAT2008 as their option in part (d) or  STAT3008 or STAT3011 as their option in  part (g).
• To undertake later year computer science courses as options in part (g) it is generally required to undertake 12 units of 2000-level COMP courses. Check the specific study _at pages for precise pre-requisite information.

The information published on the Study at ANU 2011 website applies to the 2011 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2010 website.