• MG EN 5340: Mineral Evaluation

  3.00 Credits

  University of Utah

  
  Resource and reserve standards and reporting guidelines; Ore reserve estimation using weighting, moving averages, and geostatistics; Geometric modeling by sections; Software applications; Senior Project pre-feasibility report and presentation. Prerequisites: MET E 3070 OR MATH 3070.
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• MG EN 5350: Mining Safety & Health

  1.00 Credits

  University of Utah

  
  The course is about mining health and safety in the U.S. mining industry. Students will gain a background in defining and classifying hazards in a mining environment and the role engineers play in controlling hazards. A history of key mining events and regulatory frameworks will be given.
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• MG EN 5360: Risk Management

  2.00 Credits

  University of Utah

  
  Understand the function and use of formal and informal risk management tools. Apply risk management to mine engineering problems and challenges and to safety and health management problems and challenges. Understand the role of risk management in protecting whole organizations, in safety and health management and in S&H management systems. (Completion of MG EN 5350 Health & safety preferred but not required.) Prerequisites: MG EN 5350 OR Graduate Status.
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• MG EN 5370: Data Management

  2.00 Credits

  University of Utah

  
  The purpose of this class will be to explore the role of data and technology in modern engineering and heavy industry operations. All heavy industry operations need a new generation of engineers that are competent and well versed in data science while also being experts in their traditional field. This course will provide students with a basic overview of tools, techniques, and application of data in modern operation management, maintenance management, managerial accounting, and health & safety. After completion of this course students will be comfortable with very basic SQL database programming, business intelligence tools (such as Microsoft's Power BI), and big data tools (such as MS Data Lake, OSI Pi, etc.).
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• MG EN 5450: Mine Safety/Health Mgnt

  2.00 Credits

  University of Utah

  
  The course is about health and safety management in the U.S. Mining Industry. Students will gain a deeper background in defining and classifying hazards in a mining environment, and the role engineers play in controlling hazards. Students will then examine various approaches to managing health and safety. Behavior centered safety and the role of human factors will be investigated. Risk management concepts will be presented, followed by safety leadership. Students will complete a class project on performing a root cause analysis of a mining incident. Prerequisites: MG EN 5350.
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• MG EN 5500: Computer Apps in Mining

  2.00 Credits

  University of Utah

  
  Prerequisites: Full Major Status in Mining Engineering OR Civil Engineering OR Geology OR Geophysics.
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• MG EN 5510: UAV Applications

  2.00 Credits

  University of Utah

  
  Become versed in developing drone technologies, regulations, and applications of drones in mining and geoscience. Along with an awareness of drone safety and best practices with an appreciation of ethical and legal issues related to gathering geographic data using drones. Basic understanding of photogrammetry and the workflows required for photogrammetric data processing.
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• MG EN 5520: Discrete Simulation

  3.00 Credits

  University of Utah

  
  This course introduces discrete event simulation (through Arena) and how it is applied to dynamic systems. Discrete event simulation concepts such as entities, resources, and event chains are introduced. Systems will be simulated considering time (such as work schedules, machine/human performance), space (such as process layout) and resource (such as manpower, equipment) characteristics of process. In doing that, the course covers a variety of Arena features and building blocks. The course will also introduce time studies, and distribution fitting.
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• MG EN 5530: Comp. Intelligence

  2.00 Credits

  University of Utah

  
  The course introduces two computational intelligence (CI) and machine learning (ML) techniques, neural networks and genetic algorithms. Some optimization and data analysis techniques are reviewed to ensure students are prepared to follow core concepts. To be successful in this course students must be proficient in Excel and have programming experience in Python along with meeting the pre-requisite courses of MG EN 1050 and MATH 2250. Prerequisites: MG EN 1050 AND MATH 2250
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• MG EN 5550: Explosives/Rock Blast

  2.00 Credits

  University of Utah

  
  Rock blasting, safety procedures, environmental effects, properties of explosives, and Mining and Civil engineering applications. Prerequisites: MATH 1220 AND CHEM 1220.
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