
Learn the concepts of measurement uncertainty, accuracy, and precision in microbiology, and how to express results with confidence intervals, expanded uncertainty, and ISO/IEC 17025 reporting guidelines.
Assess measurement uncertainty in microbiological testing through top-down and bottom-up approaches, including technical, distributional, and reproducibility uncertainty. Discuss factors like living organisms, imperfect mixing, log transformation, and colony count techniques.
Explore matrix uncertainty in microbiology under ISO/IEC 17025, detailing fixed value, repeatability-based, and prior-knowledge approaches and the effects of mixing and heterogeneity.
Explore distributional uncertainty and confirmation uncertainty in microbiology, using presumptive colony counts, confirmation tests, and binomial distribution to calculate corrected results and uncertainty.
Examine distributional uncertainties in microbiology with the MPN presence/absence method, computing the most probable number and its uncertainty using ISO 7218 guidance and an Excel tool.
Explore how to correct unwanted uncertainty components in microbiology measurements by subtracting distributional and metrics uncertainties from repeatability and reproducibility, yielding corrected standard deviations and expanded uncertainty.
Explore measurement uncertainty in conformity assessment under ISO/IEC 17025 and how 95 percent confidence decision rules determine conformity statements and reporting against specification limits.
Explore measurement uncertainty in microbiological testing under iso/iec 17025, focusing on test methods, statistical concepts, living-organism variation, and top-down and bottom-up uncertainty approaches.
This course is intended for the practicing scientists, engineers and managers working in Microbiological Testing in testing laboratory or in the field of quality control activities of production organization, where Microbiological Testing is a part.
Measurement uncertainty estimation in Microbiological Testing is significantly different from that for Material Testing, as in the former the item under test has living organisms which can have movement, growth and death in the medium. Because of this the extent of variation in test result is significantly high.
After going through this curse, participants will be able to estimate the uncertainty of measurement in the field of Microbiological testing. Basic understanding on statistical terms, methods related to estimation of measurement uncertainty in material testing laboratory is also included in first few sessions, as some of these basic understandings is necessary for microbiology laboratory also.
Persons who are not clearly familiar with the basic statistical concepts of estimation of measurement uncertainty will get clear understanding about this, through this training.
Those who are already familiar with ISO/IEC 17025 laboratory accreditation system and has done the uncertainty estimations for measurements for their applications will definitely improve their understanding on the practical aspects of their activities for continual improvement.
Udemy’s lifetime access to the video material and downloadable documents is certainly very useful.