MJRU-INDOP 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.
Today, Mathematics plays an important role in the optimisation of industrial systems and is used in many fields, including technology, natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. The Industrial Optimisation Major is designed to provide students with the skills in mathematics, engineering and computing and to apply them to problems arising in business, industry and government. The Major includes units in advanced calculus and linear algebra that provide foundation knowledge as well as units in modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability. Industry-based units will help you to experience real applications. Graduates are well-equipped with the tools to address the key problems that need to be solved to improve the efficiency and productivity of business and industry.
Major/Stream Entry and Completion Details
The Industrial Optimisation Major is only available to students who enter through a formal articulation agreement from either Yanshan University (China), Wuhan Institute of Technology (China) or Mahidol University (Thailand) and have demonstrated English competency as per Curtin Standard requirements. Refer to Articulation Agreements text for more information.
Articulation Agreements
Yanshan University; Students who have completed Years 1, 2 and 3 of the Bachelor of Management (Industrial Management) at Yanshan University (China) can enter this major. Students will be required to have successfully completed Year 1, Year 2, and Year 3 of the YSU Bachelor of Management (Industrial Engineering) and will receive Credit for Recognised Learning (CRL) equivalent to Years 1 and 2 (400 credits) in Curtin’s Bachelor of Science (Industrial Optimisation). Wuhan Institute of Technology: Students who have completed Years 1, 2 and 3 of the Bachelor of Information and Computing Science at Wuhan Institute of Technology (China) can enter this major. Students will be required to have successfully completed Years 1, 2 and 3 of the WIT Bachelor of Information and Computing Science programme [with GPA of 70%] and will receive Credit for Recognised Learning (CRL) equivalent to 400 credits in Curtin’s Bachelor of Science (Industrial Optimisation) program. Mahidol University: Students who have completed Years 1 and 2 of the Bachelor of Science (Industrial Mathematics) at Mahidol University (Thailand) can enter this major. Students will be required to have successfully completed 75 out of 120 credits of the Mahidol Bachelor of Science (Industrial Mathematics) program including the required Mahidol units listed in table 3.4c (of the Articulation Agreement), and a GPA of at least 2.75. Students will then receive Credit for Recognised Learning (CRL) equivalent to 300 credits in Curtin’s Bachelor of Science (Industrial Optimisation) program.
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
Duration and Availability
This Major is three years' full-time study.
Course Structure | Hrs/Wk | Credit | |||
---|---|---|---|---|---|
Year 1 Semester 1 | |||||
NPSC1001 | v.1 | Scientific Computing | 4.0 | 25.0 | |
OR | |||||
COMP1005 | v.1 | Fundamentals of Programming | 4.0 | 25.0 | |
STAT1002 | v.1 | Statistical Data Analysis | 3.0 | 12.5 | |
STAT1001 | v.1 | Statistical Probability | 3.0 | 12.5 | |
MATH1017 | v.1 | Accelerated Mathematics 1 | 5.0 | 25.0 | |
OR | |||||
MATH1015 | v.1 | Linear Algebra 1 | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 1 Semester 2 | |||||
MATH1006 | v.1 | Mathematical Modelling | 4.0 | 25.0 | |
COMS1000 | v.1 | Science Communications | 2.0 | 12.5 | |
STAT1000 | v.1 | Regression and non-Parametric Inference | 3.0 | 12.5 | |
MATH1016 | v.1 | Calculus 1 | 5.0 | 25.0 | |
OR | |||||
MATH1018 | v.1 | Accelerated Mathematics 2 | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 2 Semester 1 | |||||
MATH2011 | v.1 | Operations Research | 4.0 | 25.0 | |
INDE2000 | v.1 | Supply Chain Modelling and Optimisation | 4.0 | 25.0 | |
MATH2009 | v.2 | Calculus 2 | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 2 Semester 2 | |||||
MATH2010 | v.2 | Linear Algebra 2 | 4.0 | 25.0 | |
INDE2001 | v.1 | Logistics Modelling and Optimisation | 4.0 | 25.0 | |
MATH2000 | v.1 | Network 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 | |||||
INDE3002 | v.1 | Dynamic and Stochastic Modelling and Optimisation | 4.0 | 25.0 | |
MATH3001 | v.1 | Applied Mathematical Modelling | 4.0 | 25.0 | |
MATH3004 | v.1 | Industrial Project | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 |
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