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DATE: May 16 - 18, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

Participants will:

• Understand how to quantify and deal with grade/tonnage/metal uncertainty and variability
• Learn about new efficient simulation methods for modelling orebodies and how to use the results
• Understand how use quantified orebody risk in ore reserve estimation, mine planning and mineral project valuation
• Work with industry examples at different stages of a mining project
• Participate in hands-on computer workshops using real case studies

It is strongly recommended that participants bring a laptop.

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DATE: May 23 - 25, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

• Learn how you can have a significant, positive impact on your company’s bottom line by utilizing strategic mine planning methodologies and software
• Improve your understanding of strategic mine planning and life-of-mine optimization concepts
• Learn a structured approach to strategic mine planning, including a decision-making behaviour and strategy mapping model
• See how Lerchs-Grossman, lane cut-offs, and linear programming can fit into a standard model for optimization. Learn how to apply this standard model to the analysis and understanding of any optimization case
• Find out how to correctly model prices and costs, to properly represent reality, and to drive your optimization tools effectively
• Discover the latest developments in life-of-mine optimization, including new models for blending, pit optimization for simulated models, and ore-waste discrimination
• Improve your understanding of the relationship of uncertainty and risk, and learn how to exploit uncertainty in order to maximize profitability
• Get hands-on experience with strategic mine planning software (Whittle)
• Learn the basics of pit optimization (applied to a straightforward base-metals model)

It is strongly recommended that participants bring a laptop.

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DATE: June 6 - 8, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

This three-day course introduces the latest version of powerful software that has been used to model some of the largest mines in the world. Emphasis is placed on the effective, efficient, and practical solutions that simulations offer to the mining engineer. Both surface and underground mines have benefited from simulation models. All software and manuals used in the course will be provided to participants.

Participants will learn to:

• Understand how to use a powerful computer language and software to model working and planned mines
• Present the latest version of this software (GPSS/Hand PROOF) and teach how this can be used by the mine planner
• Provide industry examples of both underground and surfaces mines where simulation has been used successfully
• Provide hands-on computer experience with this software

It is strongly recommended that participants bring a laptop.

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DATE: September 11 - 14, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

• Gain a practical understanding of economic/financial evaluation principles
• Develop the skills necessary to apply these principles to support mineral project decisions
• Learn about the real options approach to valuing mining projects

• Economic/financial evaluation techniques
• the application of these techniques to the analysis of issues associated with mineral projects.

No previous background in economic/financial analysis is required, but some practical experience in the mineral industry and familiarity with mining terminology is desirable.

A scientific/financial pocket CALCULATOR is desirable.

It is strongly recommended that participants bring a laptop.

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DATE: September 24 - 28, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

This course is designed according to the latest regulations on public reporting of resources/reserves. It aims at showing how state-of-the-art statistical and geostatistical techniques help to answer the requirements of those regulations in an objective and reproducible manner. A particular emphasis is put on the derivation of the amplitude of sampling and estimation errors with advanced techniques like conditional simulation.

You will learn to:

• Demonstrate how standard statistical techniques help solve problems of sample reliability
• Understand when and how geostatistics can improve resource estimates
• Apply geostatistics to predict dilution and adapt reserve estimates to that predicted dilution
• Learn how geostatistics can help you categorize your resources in an objective manner
• Demystify conditional simulation and show how it addresses all the above problems
• Understand principles of NI43-101 and SME Guide

It is strongly recommended that participants bring a laptop.

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DATE: October 1 - 3, 2007

TIME: 9:00 AM to 5:00 PM

CONTENT & OBJECTIVES:

This course is for professionals involved in making decisions regarding a mining project at the exploration or production phases, whether in the geology, mining, metallurgy or geochemistry fields. You should attend this course if you are a manager of operations or technical services in a mining company, an exploration geologist, a mine geologist, a mining engineer, an ore grade control engineer, a geostatistician, a project manager, a metallurgist, and a laboratory manager or operator.

You will learn to:

• Eye-opening facts about the consequences of bad sampling and the difficulties of good sampling
• The unsuspected amplitude of economic ramifications of poor sampling
• To control how samples are taken to achieve the highest degree of representativeness
• To control sample mass requirements, and avoid errors in sampling and sample preparation protocols
• How to eliminate unfavorable factors
• How to identify those unfavorable factors that cannot be eliminated, but should be minimized
• The meaning and significance of the actors used in sample variance numerical control formulas
• Tools available for the best experimental customization of control parameters for your mineralization type
• What can and what cannot be achieved with sampling experiments
• The general philosophy that underlines the practice of 'good sampling' and the modeling of sampling parameters
• How to audit sampling equipment and procedures
• How to tackle seemingly untreatable sampling problems
• The difference between sampling and interpo­latin

A scientific CALCULATOR with basic univariate statistical functions and a ruler are recommended.

It is strongly recommended that participants bring a laptop.