Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours comprising one 2-hour lecture per week and one 1-hour computer lab/practical class per week. |
Total Time Commitment:
Study Period Commencement:
Summer Term, Semester 1, Semester 2
Study Period Commencement:
|Recommended Background Knowledge:||
It is recommended that students have completed a third year subject in linear and non-linear programming equivalent to MAST30013 Techniques in Operations Research or MAST30022 Decision Making.
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering requests 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 for 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 Alysson Machado Costa
The use of mathematical optimisation is widespread in business, where it is a key analytical tool for managing and planning business operations. It is also required in many industrial processes and is useful to government and community organizations. This subject will expose students to operations research techniques as used in industry. A heavy emphasis will be placed on the modelling process that turns an industrial problem into a mathematical formulation. The focus will then be on how to solve the resulting mathematical problem. Mathematical programming and (meta)-heuristic techniques will be reviewed and applied to selected problems.
After completing this subject students should:
One written assignment (20%, due mid semester), one group project (40% including one group report and one group presentation, due late in semester), a two-hour written examination (40%, in the examination period).
|Prescribed Texts:|| |
|Recommended Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
Doctor of Philosophy - Engineering |
Master of Energy Systems
Master of Operations Research and Management Science
Master of Philosophy - Engineering
Master of Science (Mathematics and Statistics)
Master of Engineering (Mechatronics) |
Mathematics and Statistics
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