311552 v.1 Mathematical Sciences Double Degree Major (BSc/BEd)
Introduction
Provides graduates with skills and qualifications to practice as a scientist in industry and/or as a teacher in secondary schools. Provides opportunities to combine rigorous study in a Mathematics the major, with support studies in another teaching area of their choice. Designed to give graduates a comprehensive foundation in the mathematical sciences and the necessary skills for effective classroom communication at the secondary school level. The solid foundation in the mathematical sciences will offer graduates employment other than in teaching, such as employment in government departments and authorities, research organisations and business and industry. The intent is to produce graduates with teaching skills and a sound foundation in a science discipline.
Major Entry Requirements/Prerequ
TEE Applicable Mathematics or Calculus. If Calculus is not studied, then a bridging unit may be required.
Specific Requirements
Applicants for this course should refer to the Criminal Record Screening and Clearance Section of this publication. The STAT is not accepted for entry to this course. The Department of Education requires all secondary education students to pass a literacy, numeracy and ICT competency test in the first year of the degree. Students who do not pass will be required to take additional study in order to meet competency requirements in these areas. Professional practice in school settings is a core requirementof the degree and may involve out of semester commitment by students.
Duration and Availabilty
4 years' full-time or equivalent part-time study.
Professional Recognition
This course is recognised nationally as an initial pre-service teaching qualification. Graduates are eligible for membership of the Australian Mathematical Society and the Australian Society of Operations Research.
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 | |||||
| 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 | |
| 50.0 | |||||
| Year 1 Semester 2 | |||||
| 302286 | v.1 | Mathematical Modelling 102 | 3.0 | 25.0 | |
| 7063 | v.6 | Mathematics 102 | 5.0 | 25.0 | |
| OR | |||||
| 7492 | v.5 | Mathematics 104 | 5.0 | 25.0 | |
| 50.0 | |||||
| Year 2 Semester 1 | |||||
| 4515 | v.5 | Scientific Computing 201 | 4.0 | 25.0 | |
| 8127 | v.6 | Advanced Calculus 201 | 4.0 | 25.0 | |
| 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 | |||||
| 308690 | v.1 | Computational Mathematics 301 | 4.0 | 25.0 | |
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 50.0 | |||||
| Year 3 Semester 2 | |||||
| 302300 | v.2 | Applied Mathematical Modelling 302 | 4.0 | 25.0 | |
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 50.0 | ||||
| 75.0 | |||||
| Year 4 Semester 1 | |||||
| 10098 | v.2 | Mathematical Methods 301 | 4.0 | 25.0 | |
| 308693 | v.1 | Mathematics Project 392 | 3.0 | 25.0 | |
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 75.0 | |||||
| Optional Units to Select from in Semester 1 (No Year Level Specified) | Hrs/Wk | Credit | |||
| 302315 | v.2 | Mathematical Statistics 202 | 4.0 | 25.0 | |
| 310296 | v.2 | Supply Chain Modelling and Optimisation 201 | 4.0 | 25.0 | |
| 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 | |
| 8140 | v.6 | Operations Research 201 | 4.0 | 25.0 | |
| 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 | |
| Optional Units to Select from in Year 3 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 | |
| 310503 | v.1 | Numerical Optimisation 302 | 4.0 | 25.0 | |
| 311622 | v.1 | Theory of Interest 202 | 3.0 | 25.0 | |
| 3975 | v.5 | Applied Statistics 302 | 4.0 | 25.0 | |
| 8393 | v.9 | Experimental Design and Analysis 202 | 4.0 | 25.0 | |
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Content Last Modified: January 14, 2009
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