Modular Certificate in Intelligent Automation Systems (part of Diploma in Engineering (Electronic & Digital Engineering))
About This Course
In this Modular Certificate in Intelligent Automation Systems (MC5 of Diploma in Engineering (Electronic & Digital Engineering)) learners will:
1. learn to apply the appropriate machine vision software libraries for different engineering applications.
2. learn about data sensing and analysis, signal conditioning techniques and apply appropriate sensors and actuators for integration into various automation systems.
3. learn to develop, integrate and troubleshoot automation systems.
4. learn to be competent in using different types of sensors and sensor visualization integrated with robot operating system (ROS) for mobile robot application.
5. learn a broad overview of key components used in autonomous mobile robot and their integration approach for implementing a wide variety of industry applications.
6. learn how Information Technology (IT) systems are used in manufacturing resource planning, production simulation and manufacturing execution system.
What You'll Learn
• Machine Vision and Applications
• Sensors and Actuators
• Automation Systems
• Robotics OS Platform
• Autonomous Mobile Robotics
• Manufacturing Information System
Entry Requirements
The admission requirements are:
• GCE 'O' level with minimum of 3 relevant passes and at least 1 year of relevant working experience; or
• Nitec with GPA ≥ 3.5; or
• Nitec GPA ≥ 3.0 and at least 1 year of relevant working experience; or
• Higher Nitec with GPA ≥ 2.0, or
• Higher Nitec GPA ≥ 1.5 and at least with 1 year of relevant work experience; or
• Nitec in Technology with GPA ≥ 3.5 and at least 1 year of relevant working experience; or
• Higher Nitec in Technology with GPA ≥ 2.0 and at least 1 year of relevant working experience; or
• Relevant WSQ Advanced Certificate (or higher), and at least 1 year of relevant working experience and Workplace Literary & Numeracy (WPLN) at Level ≥ 6; or
• At least 2 years relevant working experience (subject to interview/assessment).
Recognition of Prior Learning (RPL):
Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence of competency readiness. Suitable ap