Intelligent Industrial Control and Autonomous Systems Engineering

Program Overview

This postgraduate program in Intelligent Industrial Control and Autonomous Systems Engineering equips students with the knowledge and skills to design, implement, and control modern industrial and autonomous systems. Through practical application, students develop expertise in machine learning, AI, robotics, and process control, preparing them for careers in industries seeking automation and intelligent systems solutions.

Program Outline

Degree Overview:

This postgraduate major is designed for students interested in data analytics, machine learning, AI, intelligent systems, the industrial internet of things (IIoT), mobile robots, and autonomous systems. It prepares students for careers in various industries by providing a practical understanding and knowledge base for designing, prototyping, and controlling modern industrial and autonomous systems.

Key Objectives:

• Upskill knowledge in an emerging area of engineering.
• Complete a Master's degree in 1.5 years through intensive study.

Program Description:

The program emphasizes practical application and equips students with the skills to:

• Design and implement intelligent control systems for industrial processes.
• Develop and deploy autonomous systems for various applications.
• Analyze and interpret data from industrial systems using machine learning techniques.
• Integrate robotics and automation into industrial environments.

Outline:

Total Credit Points:

21

Course Structure:

• ICT606 Machine Learning (3 Credit Points): This unit explores the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Students will learn to apply machine learning algorithms to solve real-world problems in industrial control and autonomous systems.
• ENG553 Industrial Process Control (3 Credit Points): This unit covers the principles of process control, including feedback control, feedforward control, and model predictive control.
Students will learn to design and implement control systems for industrial processes, such as chemical plants, power plants, and manufacturing systems.
• ENG551 Microcontrollers and Data Communication (3 Credit Points): This unit focuses on the use of microcontrollers in industrial control and autonomous systems.
Students will learn about microcontroller architecture, programming, and communication protocols, such as SPI, I2C, and CAN.
• ENG552 Industrial Control Systems (3 Credit Points): This unit explores the design and implementation of industrial control systems, including programmable logic controllers (PLCs), distributed control systems (DCSs), and supervisory control and data acquisition (SCADA) systems.
Students will learn to program PLCs and configure SCADA systems.
• ENG611 Intelligent Systems (3 Credit Points): This unit introduces the concepts of intelligent systems, including expert systems, fuzzy logic, and neural networks.
Students will learn to design and implement intelligent systems for industrial applications, such as fault detection, process optimization, and decision-making.
• ENG612 Autonomous Systems (3 Credit Points): This unit focuses on the design and implementation of autonomous systems, including path planning, navigation, and obstacle avoidance.
Students will learn to develop autonomous systems for applications such as mobile robots, drones, and self-driving vehicles.
• ENG613 Applied Robotics (Robotic Manipulation) (3 Credit Points): This unit covers the principles of robotic manipulation, including kinematics, dynamics, and control.

Careers:

Graduates of this program are well-prepared for careers in a wide range of engineering industries, including:

• Autonomous Systems: Design and development of self-driving vehicles, drones, and other autonomous systems.
• Mechatronics: Integration of mechanical, electrical, and computer systems in industrial applications.
• Robotics: Design, development, and implementation of robotic systems for various tasks.
• Process Control: Optimization and automation of industrial processes in industries such as manufacturing, chemical processing, and power generation.
• Mining Industries: Development and implementation of automation and control systems for mining operations.
• Graduates from an accredited degree are eligible for EA membership, recognized worldwide and providing strong employment pathways.
• The course level outcomes align with EA Stage 1 Competencies, making the course eligible for accreditation.

Professional Recognition:

• Once accreditation with Engineers Australia is achieved, graduates will be eligible for graduate membership.
• Full Chartered Professional Engineer status can be achieved after further work experience in the engineering profession.

Other:

• The program is offered in both full-time and part-time study modes.