Measurement Uncertainty Analysis

MEASUREMENT UNCERTAINTY ANALYSIS (An introductory level course on Measurement Uncertainty is also available via on-line learning. See www.qcinspect.com/online). Learn how to compute measurement uncertainties for ISO/IEC 17025:1999 laboratory accreditation in a correct and practical way. To ensure international acceptance, the course is based on the full GUM Method rather than any simplified questionable methods or techniques. One of the major challenges to ISO/IEC 17025 compliance is meeting the measurement uncertainty analysis requirements. It's been said, "Those that can…do!" Since 1998, our instructor, has performed over 1,000 measurement uncertainty analyses for companies worldwide and has provided training to over 300 companies internationally. To ensure international acceptance, the course is based on the full "ISO GUM Method" rather than any watered down or simplified questionable methods or techniques. The instructor, James D. Jenkins, is a Laboratory Accreditation Assessor, Technical Advisor and Measurement Uncertainty Analysis Instructor for a U.S.-based Accreditation Body. He also serves as the Chairman of the Accreditation Resources Committee for NCSLI.
TARGET AUDIENCE		COURSE LENGTH AND COST
Engineers, technicians or anyone responsible to develop uncertainty budgets should attend this course. Prerequisites: Students should have a basic technical background, be familiar with measurement concepts, have a working knowledge of high school algebra, and be familiar with the Windows operating system and Microsoft Excel. Statistics knowledge is helpful but NOT required; we will provide the necessary training and understanding of the applicable statistics concepts.		Length: 3 days Time: 8:00am - 4:30pm Please see our public training schedule for prices, dates and locations. Register
WHAT'S COVERED
Prior to class, students will receive a copy of the book written by the instructor, "Measurement Uncertainty Analysis Fundamentals" (a $125 value). This is to be read prior to class to ensure maximum benefit of time spent in class. During class, students will receive a CD loaded with tools for unit conversion, calibration interval evaluation, Quametec's "Uncertainty Toolbox™ for Microsoft Excel® " (a $195 value), plus reference documents for advanced learning, and a FREEWARE digital electronic statistics textbook. COURSE OUTLINE The course includes instruction in the principles of uncertainty analysis and hands-on training in the specific analysis problems relevant to the students' workplace. First Day Introduction to Statistics, Measurement Uncertainty, and Accreditation Requirements relative to Uncertainty Analysis Part 1 - Uncertainty Analysis Concepts Measurements, Error and Uncertainty Error Components Basic Statistics Concepts Populations Distributions Means, Modes, and Medians Standard Deviations Statistical Math for Uncertainty Analysis The Analysis Process Type A Computations Type B Computations Combining Uncertainties Correlations Sensitivity Coefficients Root Sum Square Degrees of Freedom Expanded Uncertainty Second Day Part 2 Computing Measurement Uncertainties Recap of Day One Topics Using Microsoft Excel to perform Required Statistical Math Hands-on Uncertainty Analysis Computations using various tools Example Problems Solving Uncertainty Analysis Problems relative to Student's Workplace and other examples. Third Day Part 2 - Computing Uncertainty (cont.) Continuation of Hands-on Uncertainty Computation Example Problems Solving Uncertainty Analysis Problems relative to Student's Workplace and other examples. Part 3 - Laboratory Scope of Capability Developing a Laboratory Scope of Capability Calculating and Expressing Uncertainties across a Measurement Range Format and Layout of the Scope Maintaining your Scope's Correctness The Measurement Uncertainty Class' Unique Guarantee "If after taking our class you have difficulty computing a measurement uncertainty, we will provide additional training at no additional cost via email and telephone." Many of our students had previously taken the two-day "concept classes" offered by others and walked away with only a nodding acquaintance of the process. At the completion of our course, you will be able to return to your work center with the capability to perform measurement uncertainty analyses, not just have some vague idea of how it is done! This course covers two major objectives: learn the concepts of measurement uncertainty analysis and get hands-on experience in computing practical examples from numerous measurement disciplines.

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