"This course is great for all mining professionals who want to take their knowledge base to the next level. Vulcan is not a pre-requisite and we welcome everyone. The last course in Denver saw professionals using different software packages, making for interesting comparisons and contrasts in the different approaches taken.
"Maptek has benefited from providing support for the event in the past, having hosted numerous courses in Australia, Chile, and North America. We are very pleased to be offering this course again in Denver."
Maptek Technical Services Manager for North America
Citation Program in Applied Geostatistics
This four week accredited 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. Although held by Maptek, experience with Vulcan software is not required; this course is open to all interested individuals regardless of software background.
Once the final project has been developed and approved, each student 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."
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 in the area of geostatistical methods applied to resource estimation and grade control.
Who Should Attend
This course is ideal for a wide range of mining professionals – from those running grade estimations to more experienced users that need a deeper knowledge of theory and practice of geostatistics.