MINE 472 is an online course offered by the Faculty of Engineering and Applied Science at Queen’s University.
In order to address issues related to safety, productivity, and remote operations, the world’s mineral resources industry has been gradually shifting towards the increased use of automated systems and robotically-enhanced machines. It is important, therefore, that graduate engineers understand how these new technologies work so as to improve and make best use of them.
This online course introduces senior students to the fundamental tools and techniques of automation and robotics as applied to modern mining practice. It provides an introduction to the basics of systems control, examples of how methods of automatic control can be applied to mining equipment and associated industrial vehicles, as well as to the fundamentals of sensing and navigation as applied to the design of robotic mobile equipment.
MINE 472 is a fourth-year technical elective in the Faculty of Engineering and Applied Science at Queen’s University. Enrolment is open to students from a range of engineering disciplines, to students from universities other than Queen’s, and even to industry professionals.
- Queen’s students should register as usual or contact Tina McKenna in the Mining Office.
- People not from Queen’s should apply via a Letter of Permission from their home university. Click here for more information.
- People not registered at a university should contact Stacey Shane in the Faculty of Engineering and Applied Science.
- Any other questions about enrolment can be directed to Stacey Shane or Tina McKenna.
University of Ontario Institute of Technology (UOIT)
Haul Truck Model
Reality Check: Sensors
Numerical Computing in Julia
In MINE 472 we use the Julia language for numerical computing. You will learn how to write small programs to simulate the motion of vehicles and robots, and test your control/automation designs by implementing them in simulation to evaluate their potential performance. Julia is a high-level language, with very simple and familiar syntax.
For those who have used MATLAB, Julia is very similar and the learning curve will be very short. However, Julia is free and open source, and with Juliabox you can run Julia in a browser, from anywhere, without installing anything on your computer.
If you plan on taking MINE 472 and want to get a tiny head start, check out the links above and the video below.