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Qualifies for CMS
Presenter: Dr. Alastair J. Sinclair (Presenter)
February 7, 8, 9, 2017
02:00am – 05:00am AEST (QLD)
03:00am – 06:00am AEDT (NSW, VIC, ACT, TAS)
02:30am – 05:30am ACST (SA, NT)
12:00am – 03:00am ASWT (WA)
At popular request we are bringing this course to you as a live webcast!
In recent years there has been a strong international movement toward knowing and improving the quality of information used in the Mining Industry for resource/reserve estimation. In Canada, this culminated with the implementation of National Instrument 43-101 which incorporates, in part, general requirements pertaining to technical matters involved in obtaining assay data and the recognition that those data are of adequate quality to both publicize and form the basis of a resource/reserve estimation.
This course will demonstrate how the Qualified Person is able to meet the assay quality requirements of NI43-101. Topics to be discussed include: duplicate data collection, use of standards and blanks, simple statistics in the evaluation of standards, recognition of outliers, binary graphs as an interpretive aid to evaluating duplicate data, and displaying and analyzing data.
Emphasis will be placed on the use of simple statistical approaches that can be used to quantify data quality. Examples will be used to illustrate how sampling error, subsampling error, and analytical error can be determined, and how such results can be used as a basis for improving data quality. Reference will be made to several procedures used in Industry to quantify precision and the general pros and cons of these methods.
Prior to the course, registered delegates have access to the online e-learning material consisting of an introductory course titled Quality Control of Geochemical and Assay Samples.
This course qualifies for one day of short course credit for the Certificate in Mining Studies (CMS), a continuing education program of accredited short courses, webcasts and online courses for lifelong learning in mining, supported by University of British Columbia and University of Arizona. More details.
Registered participants who attend the entire webcast and complete an evaluation at the end of the course will receive a Certificate of Attendance, confirming the Professional Development Hours (PDH)/Continuing Education Units (CEU) earned. Please confirm with your employer and/or professional association that this course qualifies for CPD.
The course is aimed at geologists, mining engineers, surveyors, geostatisticians, and any other professionals dealing with the estimation of resources/reserves in a mining context.
www.edumine.com/courses/live-webcasts/quality-control-of-assays