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Introduction to Optimisation (ELEN90026)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Semester 2
Email: ye.pu@unimelb.edu.au
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
AIMS
This subject provides a rigorous introduction to 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 graduate and research higher-degree students in engineering.
INDICATIVE CONTENT
Topics 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
Having completed this subject it is expected that the student be able to:
- Apply 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: 31 January 2024
Eligibility and requirements
Prerequisites
Prerequisites
Option 1
Admission into or selection of one of the following:
- Autonomous Systems specialisation (formal) in the MC-ELECENG Master of Electrical Engineering
- Business specialisation (formal) in the MC-ELECENG Master of Electrical Engineering
- Communications and Networks specialisation (formal) in the MC-ELECENG Master of Electrical Engineering
- Electronics and Photonics specialisation (formal) in the MC-ELECENG Master of Electrical Engineering
- Low Carbon Power Systems specialisation (formal) in the MC-ELECENG Master of Electrical Engineering
- Aerospace specialisation (formal) in the MC-MECHENG Master of Mechanical Engineering
- Business specialisation (formal) in the MC-MECHENG Master of Mechanical Engineering
- Manufacturing specialisation (formal) in the MC-MECHENG Master of Mechanical Engineering
- Materials specialisation (formal) in the MC-MECHENG Master of Mechanical Engineering
OR
Option 2
Admission into the MC-MTRNENG Master of Mechatronics Engineering
OR
Admission into a research higher degree (MPhil or PhD) in Engineering
OR
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10007 | Linear Algebra |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST10022 | Linear Algebra: Advanced | Semester 1 (On Campus - Parkville) |
12.5 |
OR
equivalent
AND
Enrolment in Master of Computer Science or IT.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Note: students with only MAST10022 or MAST10007 should have very good multi-variable calculus and linear algebra skills.
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
One 3-hour written examination. Intended Learning Outcomes (ILOS) 1-3 are addressed in this assessment.
| During the examination period | 50% |
1 one-hour mid-semester test
| From Week 5 to Week 6 | 10% |
Four assignments / projects throughout the semester. ILOs 1-3 are addressed in this assessment.
| Throughout the semester | 40% |
Additional details
* Students must pass a hurdle requirement on the total of the written exam and two mid-semester tests.
Last updated: 31 January 2024
Dates & times
- Semester 2
Coordinator Ye Pu Mode of delivery On Campus (Parkville) Contact hours 36 hours of lectures and 12 hours of tutorials Total time commitment 200 hours Teaching period 22 July 2024 to 20 October 2024 Last self-enrol date 2 August 2024 Census date 2 September 2024 Last date to withdraw without fail 20 September 2024 Assessment period ends 15 November 2024 Semester 2 contact information
Email: ye.pu@unimelb.edu.au
Time commitment details
200 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
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 Specialisation (formal) Electrical with Business Specialisation (formal) Electrical - 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: 31 January 2024