312551 v.1 Mathematical Sciences for Computing Major (BSc Science)

Introduction

This double major (within the Bachelor of Science - School of Science and Computing) provides the opportunity for students to pursue their interests in mathematics and computing as joint disciplines. The major allows students to undertake in-depth study in both areas of mathematics and computing in a way that is not possible in a single degree in either discipline. It is designed to produce graduates who will have well-developed computing and mathematical skills. Graduates will be able to apply their quantitative and mathematical skills to modelling and simulation tasks and to software development and these can in turn be used to analyse and improve industrial and management processes. Graduates may find employment in many areas, including the mining andresources industries, software companies, financial institutions, health administration, research organisations, universities and government organisations.

Course Entry Requirements/Prerequisites

TEE Applicable Mathematics. 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 Future Students Centre on (08) 9266 1000, email futurestudents@curtin.edu.au or visit our website www.scieng.curtin.edu.au

Course Structure			Hrs/Wk	Credit
Year 2 Semester 1
311828	v.1	Scientific Computing 201	4.0	25.0
8127	v.6	Advanced Calculus 201	4.0	25.0
				50.0
Year 2 Semester 2
8128	v.6	Linear Algebra 202	4.0	25.0
		SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF:		25.0
				50.0
Year 3 Semester 1
10098	v.2	Mathematical Methods 301	4.0	25.0
308690	v.2	Computational Mathematics 202	4.0	25.0
				50.0
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
				50.0
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
311622	v.1	Theory of Interest 202	3.0	25.0
8393	v.9	Experimental Design and Analysis 202	4.0	25.0