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Curtin University
Courses Handbook 2013

This handbook contains information for courses and units at Curtin in 2013.
Information for the previous year's courses and units is available at Courses Handbook 2012.

313674 v.2 Mathematics Major (BSc Science)

Introduction

Mathematics is the study of concepts such as quantity, structure, space and change and to use these concepts to model and describe the behaviour of real world complex systems. It has been described as the science of patterns, whether found in numbers, space, science, engineering, computers, imaginary abstractions, or elsewhere. Through abstraction and logical reasoning, mathematics evolved from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Today, mathematics is used in most fields, including technology, natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. Employment prospects are good as mathematics graduates have high level problem solving skills. Mathematics can be a stepping stone to a wide and diverse career. Our graduates have moved on into many different areas of employment such as finance, government, industry, defence and research as many employers are keen to employ people with a good background in mathematics. This Major should be taken by students who wish to study Applied Mathematics, Financial Mathematics or Industrial Mathematics. It provides students with the foundation knowledge and skills necessary to pursue their interest in these areas of mathematics.

Course Structure Hrs/Wk Credit
312514 v.2   Applied Mathematics Stream (BSc Science) 200.0
  OR  
312513 v.2   Industrial Optimisation Stream (BSc Science) 200.0
  OR  
314649 v.1   Financial Mathematics Stream (BSc Science) 200.0
  200.0
Year 2 Semester 1
8127 v.6   Advanced Calculus 201 4.0 25.0
8140 v.6   Operations Research 201 4.0 25.0
  50.0
Year 2 Semester 2
302292 v.1   Network Optimisation 202 4.0 25.0
8128 v.6   Linear Algebra 202 4.0 25.0
  50.0
Year 3 Semester 1
310299 v.1 ^   Industrial Modelling and Optimisation 301 4.0 25.0
  OR  
10098 v.2 *   Mathematical Methods 301 4.0 25.0
311828 v.1   Scientific Computing 201 4.0 25.0
  50.0
Year 3 Semester 2
302300 v.2 @   Applied Mathematical Modelling 302 4.0 25.0
  OR  
3975 v.5 #   Applied Statistics 302 4.0 25.0
310304 v.1   Industrial Project 302 4.0 25.0
  50.0

#    Students undertaking a Finanical Mathematics specialisation must complete this unit

*    Students undertaking the Applied Mathematics or Financial Mathematics specialisation must complete this unit

@    Students undertaking the Applied Mathematics or Industrial Optimisation specialisation must complete this unit

^    Students undertaking the Industrial Optimisation specialisation must complete this unit

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