Learn the basics of the measurement uncertainty model, the use of correlation, curve fitting problems, probability plotting, combining results from different test methods.
You will be able to apply uncertainty analysis techniques to most experimental test problems in order to help achieve the test objectives more productively and at lower cost.
This course covers introductory materials plus uncertainty propagation and specialized data analysis tools needed for the proper estimation of data quality. It includes lecture, several in-class experiments with data analysis and the in-class working of problems to solidify the learning. This course will provide the participants with the tools needed to perform objective data quality assessments. Ron Dieck will instruct this course.
Download the Comprehensive Measurement Uncertainty…Methods & Applications brochure for additional registration options.
2017 Dates Coming Soon
|Register for this course|
Many courses offered by CESE are also available on-site. In-company training simplifies scheduling, ensuring more of your employees will be able to attend and learn.
|Request a Course Quote|
This course is designed for anyone interested in evaluating experimental accuracy:
Extra attention is placed on the personal problems of developing confidence in uncertainty analysis results and on using measurement uncertainty to select instrumentation systems.