Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours of lectures |
Total Time Commitment:
Enrolment in a research higher degree (MPhil or PhD) in Engineering
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
CoordinatorDr Iman Shames
This subject provides a rigorous introduction to the mathematics of 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 fundamental areas such as convex optimization and/or discrete optimization. This subject is intended for research higher-degree students in engineering.
Topics may include:
INTENDED LEARNING OUTCOMES (ILO's)
Having completed this subject it is expected that the student be able to:
Hurdle requirement: Students must pass the written exam to pass the subject.
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject, students will have developed the following skills:
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.
Doctor of Philosophy - Engineering |
Master of Philosophy - Engineering
Download PDF version.