Stephen J. R. Smith Faculty of Engineering and Applied Science at Queen's University
Since 1894, we have been providing the best engineering education Canada has to offer, preparing students for leadership in a global society with top-quality, technically rigorous engineering programs.
Data Science in Mining
This course presents a comprehensive overview of the key elements of data science for engineers, with application to mining problems. Topics include data cleaning, organization and manipulation, data collection, visualization and noise filtering. Regression as a Data analysis technique is covered. The focus is on the practical application of data science ...Dean's Scholar Award
Awarded to the student with the highest GPA in their discipline within Smith Engineering.
Introduction to Mineral Processing
This course introduces mineral processing theory and practice, providing a practical overview of unit operations and mineral separation fundamentals. Topics include: The role of mineral processing in mining value chain; the importance of mineralogy in the design and operation of mineral processing circuits; comminution; particle size classification; ...Mining and Mineral Resources: A Systems Overview
Mining and Mineral Resources: A Systems Overview provides an overview of the mining industry and is designed for professionals new to the mining sector as well as those working in related sectors such as: investment and finance, suppliers and vendors, government, NGO's, and community groups. This course covers a wide range of topics including finance ...Student Leader in Experiential Learning
The Student Leaders in Experiential Learning badge is awarded to Queen’s engineering students who have finished their QUIP internship and have taken a leadership role at Queen’s events, sharing their experience on internship with other students, faculty, and staff. They have enrolled in professional leadership development including, but not limited ...
