MINE-1034: Automation and Data Analytics in the Mineral Industries
Description: Discovering challenges and opportunities available in autonomous vehicles, systems, and data analytics associated with the energy and mineral industries. Fundamentals of robotics and data analytics; hands on projects with autonomous kits and drones; analysis of industry data, including production studies; introduction to presentation of complex data in a simplified manner; introduction to simulations and digital twins.
Pathways: N/A
Course Hours: 1 credit
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.88 (A)
Strict A Rate (No A-) : 87.88%
Average Withdrawal Rate: 0.81%
| Richard E Bishop | 2023 | 92.8% | 4.1% | 0.8% | 0.0% | 1.4% | 0.8% | 3.88 | 3 |