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Introduction to Optimisation (ELEN90026)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Email: iman.shames@unimelb.edu.au
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
AIMS
This subject provides a rigorous introduction numerical nonlinear optimization, as used across all of science and particularly in engineering design. There is an emphasis on both the theory and application of optimization techniques, with a focus on solving unconstrained and constrained nonlinear programmes. This subject is intended for research higher-degree students in engineering.
INDICATIVE CONTENT
Topics may include:
- Algorithms for unconstrained optimization
- Algorithms for constrained optimization
- Convex sets and functions
- Convex optimization problems
- Duality theory
- Computational complexity
- Approximation algorithms and penalty methods.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
Having completed this subject it is expected that the student be able to:
- Demonstrate an in-depth understanding of numerical linear algebra and real analysis within the context of optimization problems
- Formulate and solve engineering problems via nonlinear optimisation methods
- Apply computational tools to solve standard unconstrained and constrained optimization problems.
Generic skills
On completion of this subject, students will have developed the following skills:
- Ability to apply knowledge of basic science and engineering fundamentals;
- In-depth technical competence in at least one engineering discipline;
- Ability to undertake problem identification, formulation and solution;
- Ability to utilise a systems approach to design and operational performance;
- Expectation of the need to undertake lifelong learning, capacity to do so;
- Capacity for independent critical thought, rational inquiry and self-directed learning;
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Enrolment in a research higher degree (MPhil or PhD) in Engineering.
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Continuous assessment of homework assignments, not exceeding 40 pages in total over the semester (addressing ILOs 1-3)
| Throughout the teaching period | 40% |
Final examination (addressing ILOs 1-3) Hurdle requirement: Students must pass the written exam to pass the subject. | End of semester | 60% |
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Iman Shames Mode of delivery On Campus (Parkville) Contact hours 36 hours of lectures Total time commitment 200 hours Teaching period 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020 Semester 2 contact information
Email: iman.shames@unimelb.edu.au
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject is delivered through lectures and homework assignments.
INDICATIVE KEY LEARNING RESOURCES
Students are provided with lecture notes, including worked examples, assignment problems, and recommended reading lists comprising textbooks and journal articles.
CAREERS / INDUSTRY LINKS
Exposure to research literature and the rigour expected at the level of postgraduate study.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Decision, Risk and Financial Sciences) Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022