311149 v.1 Industrial Modelling and Optimisation Major (Bachelor of Science)
Introduction
This double major is designed to provide graduates with the necessary skills in mathematics, engineering, computing and management to prepare them for employment in business, industrial and government organisation. Industrial Modelling and Optimisation programs are well established world-wide, usually appearing under the title "Industrial Engineering" or "Operations Research". These programs are presently enjoying considerable growth because of the significant contribution that graduates can make towards increased efficiency and productivity of business and industry. Nationally, demand for graduates comes from Government Departments (Agriculture, Forest Products Commission, Treasury, Transport and Infrastructure, Minerals and Energy, Health), Governmentagencies (CSIRO, DSTO), and industries such as Mining and Petroleum, Banking Communications, Defence, Transport and Logistics, and manufacturing.
Course Entry Requirements/Prerequisites
TEE Applicable Mathematics. TEE Calculus is desirable.
STAT is not acceptable for mature age entry but may be used to demonstrate English Competence requirements.
3 years' full-time study or part-time equivalent.
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 | |||||
| 302283 | v.3 | Mathematical Modelling 101 | 4.0 | 25.0 | |
| 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 | |
| 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 | |
| 307591 | v.2 | Statistical Data Analysis 103 | 3.0 | 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: | 25.0 | ||||
| 100.0 | |||||
| Year 2 Semester 1 | |||||
| 310296 | v.2 | Supply Chain Modelling and Optimisation 201 | 4.0 | 25.0 | |
| 4515 | v.5 | Scientific Computing 201 | 4.0 | 25.0 | |
| 8127 | v.6 | Advanced Calculus 201 | 4.0 | 25.0 | |
| 8140 | v.6 | Operations Research 201 | 4.0 | 25.0 | |
| 100.0 | |||||
| Year 2 Semester 2 | |||||
| 302292 | v.1 | Network Optimisation 202 | 4.0 | 25.0 | |
| 310297 | v.2 | Logistics Modelling and Optimisation 202 | 4.0 | 25.0 | |
| 8128 | v.6 | Linear Algebra 202 | 4.0 | 25.0 | |
| 8393 | v.9 | Experimental Design and Analysis 202 | 4.0 | 25.0 | |
| 100.0 | |||||
| Year 3 Semester 1 | |||||
| 310298 | v.2 | Network Optimisation for Transport and Logistics 301 | 4.0 | 25.0 | |
| 310299 | v.1 | Industrial Modelling and Optimisation 301 | 4.0 | 25.0 | |
| 310301 | v.2 | Dynamic and Stochastic Modelling and Optimisation 302 | 4.0 | 25.0 | |
| 310303 | v.1 | Industrial Project 301 | 4.0 | 25.0 | |
| 100.0 | |||||
| Year 3 Semester 2 | |||||
| 302300 | v.2 | Applied Mathematical Modelling 302 | 4.0 | 25.0 | |
| 310300 | v.2 | Logistics and Supply Chain Optimisation 302 | 4.0 | 25.0 | |
| 310302 | v.1 | Production Planning and Management 302 | 4.0 | 25.0 | |
| 310304 | v.1 | Industrial Project 302 | 4.0 | 25.0 | |
| 100.0 | |||||
| * | Highly recommended for students undertaking Industrial Modelling and Optimisation. |
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Content Last Modified: January 14, 2009
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