Optimisation
Subject MCEN90033 (2016)
Note: This is an archived Handbook entry from 2016.
| Credit Points: | 12.5 |
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| Level: | 9 (Graduate/Postgraduate) |
| Dates & Locations: | This subject is not offered in 2016. |
| Time Commitment: | Contact Hours: Thirty two hours of lectures, tutorials and project work. Total Time Commitment: 120 hours |
| Prerequisites: |
Students who completed third year in 2010 will have taken MCEN30015 Thermofluids as a core subject instead of ENGR30001 Fluid Mechanic & Thermodynamics. An equivalent year-long version of MCEN90016 Mechanical Project will be available. Subject Study Period Commencement: Credit Points: |
| Corequisites: | None |
| Recommended Background Knowledge: | None |
| Non Allowed Subjects: | None |
| Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
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| Subject Overview: |
Optimisation is an essential component of engineering due to its need in engineering practice. Selected methods of modelling and optimisation covered in this subject include nature-inspired optimisation methods, mathematical programming, dynamic programming and Markov processes. |
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| Learning Outcomes: |
Upon completion, students should be able to model and solve a range of decision-making problems in mechanical, biomedical and mechatronic engineering by applying the techniques of mathematical programming, stochastic modelling and optimisation. |
| Assessment: |
One 3 hour end of semester exam (70%). |
| Prescribed Texts: | None |
| Breadth Options: | This subject is not available as a breadth subject. |
| Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
| Generic Skills: |
On completion of the subject students should have the following skills - • Ability to apply knowledge of basic science and engineering fundamentals
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