MJRU-IOPTM v.1 Industrial Optimisation Major (BSc Science)
Major/Stream Overview
This major/stream is part of a larger course. Information is specific to the major/stream, please refer to the course for more information.
This major is designed to provide graduates with the necessary skills in mathematical engineering, computing and management to prepare them for employment in business, industry and government organisations. Skills obtained by completing industrial optimisation are highly sought after as they are used in creating increased efficiencies and productivity of business and industry. This major is only available to international students from Yanshan University China. See Entry Requirements for further details.
Major/Stream Entry and Completion Details
The Industrial Optimisation major is available to Yanshan University (China) students only. Completion of Year 1, 2 & 3 of the Bachelor of Management (Industrial Management) at Yanshan University, China, plus demonstration of English competency (as per Curtin standard requirements).
Major/Minor/Stream Organisation
Major/Stream Learning Outcomes
A graduate of this course can:
1. understand and apply mathematical and statistical principles and concepts in areas such as operations research to solve problems relevant to science, industry, commerce and government
2. apply mathematical and statistical methods to critically analyse problems in industrial optimisation and to think creatively to generate innovative solutions
3. locate, extract and critically appraise relevant evidence and scientific literature in relation to industrial optimisation
4. communicate effectively within the context of industrial optimisation through the written word and by oral presentation
5. use new technologies to effectively gather data and communicate information
6. understand the theoretical framework of industrial optimisation science and work as a responsible, reflective, self-directed and motivated lifelong learner
7. be aware of the diversity of international perspectives and apply international standards of practice within their profession
8. respect the rights of individuals and the importance of cultural diversity within the scientific field
9. display high levels of professional behaviour both independently and as a team member through the use of ethical practices within the scientific field
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 2 Semester 1 | |||||
| MATH2009 | v.1 | Advanced Calculus | 4.0 | 25.0 | |
| MATH2011 | v.1 | Operations Research | 4.0 | 25.0 | |
| INDE2000 | v.1 | Supply Chain Modelling and Optimisation | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Year 2 Semester 2 | |||||
| MATH2010 | v.1 | Linear Algebra | 4.0 | 25.0 | |
| MATH2000 | v.1 | Network Optimisation | 4.0 | 25.0 | |
| INDE2001 | v.1 | Logistics Modelling and Optimisation | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Year 3 Semester 1 | |||||
| MATH2015 | v.1 | Mathematical Computing | 4.0 | 25.0 | |
| INDE3000 | v.1 | Industrial Modelling and Optimisation | 4.0 | 25.0 | |
| STAT2001 | v.1 | Mathematical Statistics | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Year 3 Semester 2 | |||||
| MATH3004 | v.1 | Industrial Project | 4.0 | 25.0 | |
| MATH3001 | v.1 | Applied Mathematical Modelling | 4.0 | 25.0 | |
| INDE3002 | v.1 | Dynamic and Stochastic Modelling and Optimisation | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
Handbook
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