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Learn cutting edge tools to improve grade estimation.
This four week course involves theoretical and practical aspects, with the objective of providing knowledge in the theory and use of modern geostatistical tools, with emphasis in mining. This course combines academic knowledge with industry experience in a convenient four-week format.
Dr. Clayton Deutsch is a Professor and director of the School of Mining and Petroleum Engineering, Department of Civil and Environmental Engineering at the University of Alberta. He teaches and conducts research about the geostatistical methods applied to resource estimation and grade control.
Dr. Jeff Boisvert is an Assistant Professor in the School of Mining and Petroleum Engineering at the University of Alberta. He codirects the Centre for Computational Geostatistics, teaches Geostatistics and undertakes research related to mineral resource estimation.
Teaching Block 1
5 June - 16 June, 2017
Teaching Block 2
14 August - 25 August, 2017
Register by 1 February, 2017 and receive a 15% discount
(Optional) University of Alberta Accreditation cost: $1,000 *not subject to 15% discount
Once the final project has been developed and approved, each student who opted to receive accreditation will be awarded a Citation in Applied Geostatistics from the Faculty of Extension at the University of Alberta, Canada. This citation is a formal statement of the achievements of the person receiving the academic honor and is officially recognized for later courses. On acceptance into a formal post degree program in the University of Alberta, such as M. Eng., M. Sc. and PhD, the Citation would gain the student credit for a full semester course: "MIN E 710: Application of Mining Geostatistics."
University accreditation is optional for students. Those who decide not to receive university credit will be provided with a letter of certification from Dr. Clayton Deutsch verifying completion of the course and a Maptek Certificate.
Prerequisites: A general understanding of geological deposits and basic grade estimation techniques preferred. Familiarity with Vulcan software is not required.
For more information contact email@example.com.