Courses Handbook 2009

311154 v.1 Mathematical Sciences Major (Bachelor of Science)


Introduction

Mathematics is the study of concepts such as quantity, structure, space and change. 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 natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. This major includes core units in calculus and linear algebra that provide foundation knowledge. Students may also select from courses in analysis, optimisation, industrial modelling, scientific computation, and statistics and probability. Employment prospects are good. 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.

Course Entry Requirements/Prerequisites

TEE Applicable Mathematics. TEE Calculus is desirable.

Specific Requirements

STAT is not acceptable for mature age entry but may be used to demonstrate English Competence requirements.

Duration and Availability

3 years' full-time study or part-time equivalent.

Further Information

For more information contact the Career Consultant, in the Faculty of Science and Engineering on (08) 9266 4816, email careers@vesta.curtin.edu.au or visit our website www.scieng.curtin.edu.au.

Course Structure Hrs/Wk Credit
Year 1 Semester 1
307587 v.1   Computing Skills 101 4.0 25.0
  OR
310984 v.1   Scientific Computing 101 4.0 25.0
307590 v.2   Statistical Data Analysis 101 3.0 12.5
310532 v.1   Statistical Data Analysis 102 3.0 12.5
7062 v.6   Mathematics 101 5.0 25.0
  OR
10926 v.5   Mathematics 103 5.0 25.0
  SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF:   25.0
  100.0
Year 1 Semester 2
302286 v.1   Mathematical Modelling 102 3.0 25.0
307554 v.1   Science Communications 101 2.0 12.5
7063 v.6   Mathematics 102 5.0 25.0
  OR
7492 v.5   Mathematics 104 5.0 25.0
  SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF:   37.5
  100.0
Year 2 Semester 1
4515 v.5   Scientific Computing 201 4.0 25.0
8127 v.6   Advanced Calculus 201 4.0 25.0
  SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF:   50.0
  100.0
Year 2 Semester 2
8128 v.6   Linear Algebra 202 4.0 25.0
  SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF:   50.0
  SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF:   25.0
  100.0
Year 3 Semester 1
10098 v.2   Mathematical Methods 301 4.0 25.0
308690 v.1   Computational Mathematics 301 4.0 25.0
  SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF:   50.0
  100.0
Year 3 Semester 2
302300 v.2   Applied Mathematical Modelling 302 4.0 25.0
308693 v.1   Mathematics Project 392 3.0 25.0
  SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF:   50.0
  100.0
Optional Units to Select from in Year 2 Semester 2 Hrs/Wk Credit
302292 v.1   Network Optimisation 202 4.0 25.0
302298 v.3   Analysis 202 4.0 25.0
302331 v.3   Mathematics Topics 302 4.0 25.0
310297 v.2   Logistics Modelling and Optimisation 202 4.0 25.0
310300 v.2   Logistics and Supply Chain Optimisation 302 4.0 25.0
310301 v.2   Dynamic and Stochastic Modelling and Optimisation 302 4.0 25.0
310503 v.1   Numerical Optimisation 302 4.0 25.0
311622 v.1   Theory of Interest 202 3.0 25.0
8393 v.9   Experimental Design and Analysis 202 4.0 25.0
Optional Units to Select from in Year 3 Semester 2 Hrs/Wk Credit
310300 v.2   Logistics and Supply Chain Optimisation 302 4.0 25.0
310301 v.2   Dynamic and Stochastic Modelling and Optimisation 302 4.0 25.0
310503 v.1   Numerical Optimisation 302 4.0 25.0
*      please contact your Course Coordinator for recommended electives
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