For Whom Intended Engineers, scientists and managers. This course will be of interest to personnel involved in SPC, Metrology, Bio-medical, Aerospace, Automobile, Electronics industries and those making and understanding experimental test measurements in a wide range of other industries.
Brief Course Description Every measurement is made for a purpose: to make a judgment about something. It can be to judge the accuracy of an instrument or data, to accept or reject a product or to determine the price charged in everyday commerce. In order to have confidence that the measurement, which is actually only the best estimate of the quantity considered, is acceptable, an estimate of the uncertainty of the measurement also needs to be undertaken.
This course is normally presented as part of course 132-4, a "combo" course that starts with course 435, a one-day review of engineering statistics, which covers all the usual topics in reliability and statistics and explains how the theory is applied in engineering. See outline 435 for details.
Course 132 begins with an introduction to measurement uncertainty and to the terms associated with it. Then the accuracy and limitations of statistics are discussed, with examples of the various types of distributions encountered in statistical tests. A discussion of sources of errors and their classification into random and systematic follow, before presenting the details of using traditional versus expanded uncertainty equations.
Equations for calculating the propagation of errors are presented next, along with a “special case” method that avoids the use of calculus in many cases. The course covers control charts and their applicability to uncertainty before covering a step-by-step process of calculating uncertainty for a typical application.
Methods of reporting uncertainty, along with how to state or interpret statements of uncertainty, confidence intervals and confidence levels and coverage factors, are covered in some detail.
The course concludes with specific examples of applications involving various measured quantities.
Successful completion of this course will enable participants to understand, evaluate and express measurement uncertainty.
Bonus Chapters Chapters 10-1 through 10-6 are shown in the course outline below, but they are not presented in the classroom, and they are not included in the Complete Video Course. However, they are provided in the course materials for self-study by interested students, and may be included in on-site presentations at the client's request.
Related Courses A one-day version of TTi’s Course 435, Engineering Statistics, is the first day of this course.
Prerequisites There are no definite prerequisites for this course. However, this course is aimed toward individuals involved in a related technical field. An understanding of basic algebra will be useful.
Text Each student will receive 180 days access to the on-line electronic course workbook. Renewals and printed textbooks are available for an additional fee.
Course Hours, Certificate and CEUs Class hours/days for on-site courses can vary from 14-35 hours over 2-5 days as requested by our clients. Upon successful course completion, each participant receives a certificate of completion and one Continuing Education Unit (CEU) for every ten class hours.
OnDemand OnDemand Internet Complete Course 132 features 17 hours of video as well as more in-depth reading material. Most chapters of course 132 are also available as OnDemand Internet Short Topics. See the outline below for details.