As a significant research component of the course, this project will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling students to critique current professional practice in the Industrial Automation industry. The Project Thesis, as the capstone of the course, requires a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding subjects.
Machine Learning for Industrial Automation provides the intelligent control basics in the automation area. Advanced Process Control covers advanced control systems, algorithms and applications.
CODE INDUSTRY MASTER PDF EDITOR SOFTWARE
SCADA and DCS cover hardware and software systems, evaluation of typical DCS and SCADA systems and configuration of DCS controllers. Safety Instrumented Systems introduces the common safety philosophy of hazard identification, risk management and risk-based design of protection methods and functional safety systems. Industrial Data Communications provides the requisite knowledge to manage modern field buses and industrial wireless systems. Industrial Process Control Systems combines the process identification and feedback control design with a broad understanding of the hardware, system architectures and software techniques widely used to evaluate and implement complex control solutions.įurthermore, Industrial Instrumentation identifies key features of widely used measurement techniques and transducers combined with microprocessor devices to create robust and reliable industrial instruments. Programmable Logic Controllers covers in-depth principles of operation of programmable controllers, networking, distributed controllers, and program control strategies. Power Engineering covers major equipment and technologies used in power systems, including power generation, transmission and distribution networks. Industrial Automation Introduction provides the fundamental knowledge that is essential in the automation area. Students with a background in electrical, electronics, mechanical, instrumentation & control, or industrial computer systems engineering would benefit from this program as it prepares them for automation in the process and manufacturing industries. The Master of Engineering (Industrial Automation) course offers twelve core modules and a project thesis to provide the knowledge and skills required for this industry. The Master of Engineering (Industrial Automation) addresses the growth and new technologies in the Industrial Automation industry. There is a global shortage of automation, instrumentation, and control engineers due to the rapid growth of new industries and technologies. Industrial Automation, Instrumentation & Process Control.Applicants with work and life experience.Applicants with vocational education and training (VET).Applicants with recent secondary education.
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