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: 5
Average GPA: 3.86 (rounds to A)
Strict A Rate (No A-) : 86.66%
Average Withdrawal Rate: 1.40%
| Richard E Bishop | 2024 | 91.2% | 5.4% | 0.6% | 0.0% | 1.1% | 1.7% | 3.88 | 4 |
| Erik C Westman | 2024 | 91.6% | 0.0% | 8.4% | 0.0% | 0.0% | 0.0% | 3.80 | 1 |