Requisite(s): 120 credit points of completed study in C10061 Bachelor of Engineering Diploma in Engineering Practice OR 120 credit points of completed study in C10066 Bachelor of Engineering Science OR 120 credit points of completed study in C10067 Bachelor of Engineering
These requisites may not apply to students in certain courses.
There are also course requisites for this subject. See access conditions.
Optimisation has become a necessary part of design and decision-making activities in all major disciplines, and is receiving serious attention from engineers, scientists and managers.
This subject emphasises applications of optimisation techniques in engineering design, manufacturing and project management activities. It introduces students to an array of optimisation techniques and enables students to learn to use these techniques in solving real engineering design and project management problems. Graphical and visualisation programs are developed to assist student learning and provide students with optimisation tools.
On successful completion of this subject students should be able to model optimal design and decision-making problems, and apply a portfolio of optimisation techniques and use optimisation tools/software to solve practical problems.
This subject should be of interest to students in broad engineering areas (e.g. mechanical and mechatronics, civil and structural, telecommunication, etc.). It should also be of interest to students from other faculties that use mathematical programming and optimisation techniques for design and management.
Assessment: Assignment (30 per cent); project (30 per cent); quiz (40 per cent).
Spring semester, City campus