Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. CLOs coming soon; please refer to your course syllabus in the meantime.

Course Learning Outcomes:

1. Produce elevations from differential leveling notes.
2. Calculate coordinates and areas for survey control traverse.
3. Assess measurement for error.
4. Predict the 3-dimensional accuracy of GPS positions.
5. Produce revised ground versus grid distances for construction layout purposes.
6. Operate the main functions of Total Stations and Data Collectors.
7. Combine the main functions of Total Stations and Data Collectors in order to produce a pertinent report using previously gathered field data.

Course Learning Outcomes:

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Course Learning Outcomes:

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Course Learning Outcomes:

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Course Learning Outcomes:

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Course Learning Outcomes:

1. Identify an appropriate mineral deposit type, and use this to identify the geologic factors that control the spatial distribution of grades in the deposit.
2. Compile and validate the data files and data bases required for mineral resource estimation.
3. Statistically analyze and interpret grade distributions, scatterplots and spatial correlation.
4. Explain the advantages and disadvantages of the three most common approaches to grade estimation: geostatistical kriging, inverse-distance interpolation, and the polygonal method.
5. Formulate a set of resource estimation assumptions and parameters, use these to run software to create a resource block model, and then check the reliability of the resulting estimates.
6. Quantify the uncertainty of estimates of tonnage and grade.
7. Classify and report resource estimates according to the CIM Definition Standard used by Canadian National Instrument 43-101.
8. Explain the recent history of national security regulations for the public reporting of mineral resources and reserves.
9. Use commercial software to analyze drill hole databases, detect and correct errors, estimate and classify resources, and create 3D visualizations of data and resource block models.

Course Learning Outcomes:

1. Explain how software and hardware interact to link computer programming to actual machine operations.
2. Implement the features of a programming language such as syntax.
3. Transform logical relationships into computer programming elements such as expressions, selection statements, and loops.
4. Use features such as arrays and functions to enhance the efficiency of computer programs.
5. Implement features of C/C++ and MATLAB programming languages to design computer programs.
6. Design computer programs to solve mathematical and data analysis problems.
7. Simulate a simple real-world model of a physical system.
8. Discuss when the complexity of an engineering problem requires computer programming.

Course Learning Outcomes:

1. Describe fluid mechanics fundamentals.
2. Explain ventilation surveys.
3. Analyze ventilation networks (air flow quantity and pressure).
4. Design primary and auxiliary mine ventilation systems in accordance with mine regulations and design criteria.
5. Select appropriate ventilation infrastructure.
6. Perform pipe network analyses.
7. Select appropriate pumps.

Course Learning Outcomes:

1. Summarize the rationale for effective health and safety programs in the mining industry.
2. Discuss the principle components of an effective mine health and safety program.
3. Explain Risk Analysis and Control Methodologies for the major physical, chemical, biological and psychosocial risk factors at mine sites.
4. Apply the principles of occupational health and hygiene programs.
5. Examine the principles of accident investigation including root cause analysis.

Course Learning Outcomes:

1. Describe the nature and components of global minerals supply, demand, trade and price.
2. Identify national and international policies, regulations and treaties relevant to the minerals industry.
3. Develop estimated costs, revenues and cash flows, and the impact of inflation and taxation.
4. Solve structured problems using economic analysis concepts (e.g. time value of money, discounting) and financial analysis tools (e.g. Net Present Value (NVP), Internal Rate of Return (IRR), payback period).
5. Describe the estimation of mineral resources and mineral reserves, the feasibility assessment process and different types of reports, and the disclosure of the results of work in these areas under National Instrument 43-101.
6. Apply economic and financial tools to valuation of companies, evaluation of projects, and strategic planning.
7. Discover how risk and uncertainty are addressed in the techniques and processes of mineral economics.
8. Discover sources and types of equity and debt financing for mining companies and projects.
9. Examine the impact of sustainability initiatives and frameworks on mining companies and projects, and ways in which sustainability is increasingly being reflected in activities studied in this course.

Course Learning Outcomes:

1. Describe surface mining techniques.
2. Explain how the environment is impacted by surface mining.
3. Describe the difference between estimating and simulating an orebody block model. Calculate ore cut off grades given various constraints. Calculate bulk density.
4. Apply pit limit analysis algorithms in two dimensions.
5. Sequence blocks using constraints such as various slope stability angles, mining capacity and milling capacity.
6. Design production rates for a surface mining operation. Relate production rates to mining and milling capacities.
7. Describe mine planning fundamentals and formulate short-term mine plans. Relate capacity selection to market structure and economic considerations. Calculate whether blocks are ore or waste using the minimum loss or maximum profit formulas. Delineate dig limits and describe the relationship between dig limits and equipment size. Design a bed-blending operation. Reconcile actual to planned grades. Develop a gap management strategy.
8. Select equipment for excavation, loading, hauling using the time value of money and compatibility to a proposed mine design.
9. Describe the current state of automation for each type of equipment in open pit mining. Be able to assess the future trends of automated equipment. Describe support services needed and the impact automation will have on the workforce.
10. Describe bench geometry and design benches in open pit mines. Solve slope stability problems including calculation of a safety factor.
11. Identify sources of water in surface mines. Describe current dewatering strategies and design a dewatering circuit. Select the correct type and size of pumps based for a dewatering circuit.
12. Critique haul road designs using best practices in safety and operational design. Describe the importance of haul roads, design and maintain haul roads.
13. List the elements of open pit operating costs. Describe open pit capital costs. Evaluate the impact changing operating and capital costs have on equipment selection.
14. Analyze case studies using learning objectives 1 through 13.

Course Learning Outcomes:

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Course Learning Outcomes:

1. Describe the unit operations involved in pyrometallurgical, hydrometallurgical, and electrometallurgical processes.
2. Interpret metal extraction processes with the help of various types of thermodynamic diagrams.
3. Explain the properties of metallurgical solutions.
4. Interpret laboratory data.
5. Interpret metal production flowsheets.
6. Propose a metal production process for a given orebody.
7. Discuss the importance of energy and water footprints and waste treatment in metal extraction.
8. Apply chemical principles to metal extraction processes.

Course Learning Outcomes:

1. Explain the principles underlying social and environmental impact and risk assessments, mitigation and management systems, sustainability audits, and key indicators.
2. Describe the sources of waste (solid, liquid, and gas) in a mining operation and how to implement methods of waste management.
3. Explain the availability and treatment of water, its use in the mining industry, and the regulations around water control for mine development and operation.
4. Identify legal requirements, liabilities, commitments, and risks associated with mine closure.
5. Address social and environmental issues associated with mine closure.

Course Learning Outcomes:

1. Explain the importance of communications for both operating and project environments
2. Recognize methods for improvement of employee interpersonal and technical skills through mentoring, coaching and evaluation programs
3. Recognize the roles and responsibilities of a supervisor and project manager
4. Identify elements of common mine supervision policies and requirements of the regulations
5. Describe the basis of scope, time, and resources, for controlling project schedules and costs

Course Learning Outcomes:

1. Summarize basic geomatics principles related to mining.
2. Select techniques, equipment and tools for mine surveying applications.
3. Explain the different kinds of surveying methods and common procedures involved with each method.
4. Perform survey calculations in order to select appropriate coordinate systems for both surface and underground applications.
5. Examine the use of various types of equipment and technology in surface mining, underground mining, and tunneling operations.
6. Explain the applications for scanning underground and surface features with LiDAR systems.
7. Explain the applications of Global Navigational Surveying Systems (GNSS).
8. Describe the principles of aerial photos and maps and the use of photogrammetry for indirect measurements.
9. Examine the use of autonomous scanning equipment (Unmanned Aerial Vehicles), robotic surveying, underground positioning systems and lasers for survey control.