Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 36 hours of lectures, 24 hours of tutorials and laboratory work. |
Total Time Commitment:
Study Period Commencement:
Plus one of the following -
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
The subject aims to introduce the students to the automation technologies, specifically: robotics and process automation. The use of robots and automated systems in carrying out various tasks will be discussed and the fundamental computational techniques associated with the operation of a robotic manipulator and a general automated system will be introduced. The subject will familiarise the students with the roles, strengths, and capabilities of robotics and automation technologies, as well as how to achieve the said capabilities.
Artificial Intelligence and Computer Vision (8 hours of lectures and 3 hours of tutorials): Introduction to neural network and vision-based systems in automation.
Networked control and optimization (6 hours of lectures and 3 hours of tutorials): Concepts for the automated factory environment with networked stations and networked control, use of Ethernet, wireless technology and protocols, safety and security issues.
INTENDED LEARNING OUTCOMES (ILO) / SUBJECT OBJECTIVES
Having completed this unit the student is expected to have the skills to -
1 - Analyse and simulate the dynamic performance of robotic manipulators and machine tools
One 2 hour written examation (40%) at the end of semester. Associated with Intended Lerning Outcomes (ILOs) 1 to 5
Group and individual projects, assignments and lab reports of equal weight (not exceedng 5000 words each) (60%). Associated with ILOs 1 to 5.
|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 should have the following skills -
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures and tutorials. The tutorials will initially cover the exercises to complement the lecture material. When a level of proficiency is attained, the subject will further focus on the discussion of the design of an automation system. The students will also engage in 3 assignments throughout the subject.
INDICATIVE KEY LEARNING RESOURCES
Students will have access to lecture notes, lecture slides, tutorials, tutorial solutions and assignments on the LMS site.
Master of Philosophy - Engineering |
B-ENG Mechanical Engineering stream |
Master of Engineering (Mechanical)
Master of Engineering (Mechatronics)
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