Training Courses on Measurement Uncertainty: searchable database
The database below allows you to easily find information about courses and trainings on measurement uncertainty provided by some of the partners and stakeholders of the Measurement Uncertainty Training Activity of the EMN for Mathematics and Statistics.
The courses are reported along with several characteristics (organising body, target audience, specific constraints/prerequisites, application area, duration, etc.) and can be filtered according to the following criteria: organising institute/nation, language and the technical contents covered in the course (in particular, which concepts of the GUM suite of documents and which reviews for it are covered).
The search filters of the database support you in finding the courses that fit your needs. Full and detailed information on all the surveyed courses can be found at a comprehensive training courses survey downloadable here >>
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Curso virtual de metrología. Módulo básicoOrganising body CEM (Spain)Location onlineDuration 25 h ( the whole course lasts tipically 6 weeks)Language SpanishTarget audience Staff in test and calibration laboratories, internal employeescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Sources of uncertainty and examples
Detailed info at the existing training courses survey (here), in sheet "CEM 1"
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Curso virtual de metrología. Módulo intermedioOrganising body CEM (Spain)Location onlineDuration 25 h ( the whole course lasts tipically 7 weeks)Language SpanishTarget audience Staff in test and calibration laboratories, internal employeescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Sources of uncertainty and examples
Detailed info at the existing training courses survey (here), in sheet "CEM 2"
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Curso virtual de metrología. Módulo avanzadoOrganising body CEM (Spain)Location onlineDuration 25 h ( the whole course lasts tipically 3 weeks)Language SpanishTarget audience Staff in test and calibration laboratories, internal employeescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Sources of uncertainty and examples
Detailed info at the existing training courses survey (here), in sheet "CEM 3"
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Curso de calibración por comparación de termómetros de contactoTarget audience Staff in test and calibration laboratories, internal employeescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Sources of uncertainty and examples
Detailed info at the existing training courses survey (here), in sheet "CEM 4"
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Measurement uncertainty and statistics ("Messunsicherheit und Statistik")Organising body DAM - German Academy of Meterology at the Bavarian State Office for Measures and Weights (Germany)Location Principally in-person, optionally onlineDuration 20 hrs stetched over 2 -3 weeks (basic-level course)Language GermanTarget audience Trainees of the German federal verification offices (basic level)certification Certificate for the whole courseApplication areaSpecific constraints/prerequisites (if any) -Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …) [PARTLY]
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "DAM 1"
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Measurement uncertainty and statistics ("Messunsicherheit und Statistik")Organising body DAM - German Academy of Meterology at the Bavarian State Office for Measures and Weights (Germany)Location Principally in-person, optionally onlineDuration 30 hrs stretched over 2 -3 weeks (intermediate-level course)Language GermanTarget audience Trainees of the German federal verification offices (intermediate-level)certification Certificate for the whole courseApplication areaSpecific constraints/prerequisites (if any) -Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …) [PARTLY]
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- linear regression (4 hrs), quality control (2hrs), acceptance sampling (4 hrs)
Detailed info at the existing training courses survey (here), in sheet "DAM 2"
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Practice of measurement uncertainty evaluationOrganising body Central Office of Measures (Poland)Location Warsaw, bothDuration 2 days (16 hours)Language PolishTarget audience internal to the organizing institution or external, employees of accredited laboratoriescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) noTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Calculation examples
Detailed info at the existing training courses survey (here), in sheet "GUM"
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Theoretical aspects of measurementLocation Institute of Measurement Science of the Slovak Academy of Sciences (IMS SAS)Duration 26 hoursLanguage SlovakTarget audience PhD studentscertification Exam-PhD (12 credits)Application area Electrical EngineeringSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models) [PARTLY]
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "IMS SAS"
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Edition-dependentOrganising body Società italiana di fisica, SIF (Italy)Location Varenna on the Como lake (Italy)Duration About 2 hours (the whole course lasts typically two to three weeks)Language EnglishTarget audience Typically young scientists from NMIs worldwidecertification Certificate of attendanceApplication area Metrology in generalSpecific constraints/prerequisites (if any) NoTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Frequentist vs Bayesian (subjective) view of probability, basic concepts
Detailed info at the existing training courses survey (here), in sheet "INRIM 1"
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Thermal measurements and controlsTarget audience Students enrolled in the Master degree at Politecnico di Torinocertification MarkApplication area Mechanical Engineering and Energetics Programmes at Politecnico di TorinoSpecific constraints/prerequisites (if any) Basic subjects in Calculus, Physics, Mechanics, Electrotechnics.Topics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Reporting the measurement result
- Examples of uncertainty evaluation in thermal and mechanical measurements
Detailed info at the existing training courses survey (here), in sheet "INRIM 2"
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The evaluation of uncertainty in measurementOrganising body Politecnico di Torino (https://www.polito.it/en/education/phd-programmes-and-postgraduate-school) and INRIM (Italy)Location At the INRIM campus and/or online classesDuration 20 hours (typically 10 two-hour lessons in one month)Language English (Italian if no foreign student is registered)Target audience PhD Students (but other attendees may ask for enrolling)certification PASS, PASS with merit or Certificate of attendanceApplication area NoSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Some hints on Bayesian inference and conformity assessement according to JCGM 106
Detailed info at the existing training courses survey (here), in sheet "INRIM 3"
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Uncertainty of measurementsOrganising body Politecnico di Torino (https://www.polito.it/en/education/phd-programmes-and-postgraduate-school) and INRIM (Italy)Location At the INRIM campus and/or online classesDuration 6 hoursLanguage English (Italian if no foreign student is registered)Target audience PhD Students (but other attendees may ask for enrolling)certification PASS, PASS with merit or Certificate of attendanceApplication area NoSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models) [PARTLY]
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "INRIM 4"
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JCGM 101:2008 e JCGM 102:2011 - Valutazione dell'incertezza di misura con il metodo Monte Carlo e per casi multivariatiOrganising body UNITRAIN (@formazioneuni - www.uni.com) (Italy)Location Physical or onlineDuration 8 hoursLanguage ItalianTarget audience Quality managers; R&D managers; managers of company laboratories; responsibles for measurement processes; personnel in charge of preparing calibration procedures, metrological confirmations of measurement instruments, instructions of control and test of pcertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) Basic knowledge of the GUM frameworkTopics
- Review of probability concepts (random variables, distributions, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "INRIM 5"
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Time and frequency, Instrumentation, and MetrologyOrganising body University of Bourgogne Franche Comté (UBFC), Besancon, France (The Doctoral School of) (Italy)Location BothDuration 15 lectures, 22.5 HLanguage EnglishTarget audience Doctoral students, post doctoral fellows, young scientists, R&D engineerscertification Local PhD students: managed by the Doctoral School Guests: certificate of…Application area Part 1: General instruments Part 2: Phase noise and frequency stability in oscillators Part 3: The new International system of units SI (2019)Specific constraints/prerequisites (if any) General background in science/engineering suitable to doctoral lectures Serious personal motivationTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "INRIM 6"
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CEM - Curso de Experimentadores Metrologistas (Training for Metrologist Experimenters)Organising body Instituto Português da Qualidade (IPQ) (Portugal)Location IPQ (physical)Duration 1 day (6 hours)Language PortugueseTarget audience It is intended for technicians who carry out the activity of legal metrological control of measuring instruments, carried out by recognized entities that are part of the Legal Metrology System in Portugal.certification The Course Certificate is issued after a positive result of the final…Application area Mass measurementsSpecific constraints/prerequisites (if any)Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Practical application exercices and uncertainty calculation
Detailed info at the existing training courses survey (here), in sheet "IPQ 1"
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Good practices for the use and maintenance of standard test measures within the scope of gas pumps verificationOrganising body Instituto Português da Qualidade (IPQ) (Portugal)Location Physical (Volume laboratory and on site verification)Duration 2 days (14 hours)Language PortugueseTarget audience Employees of metrological verification bodies for gas pumpscertification certificate of attendanceApplication area Volume measurementsSpecific constraints/prerequisites (if any)Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Mathematic example of calculation
Detailed info at the existing training courses survey (here), in sheet "IPQ 2"
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Oficina à medida (workshop with measure)Organising body Instituto Português da Qualidade (IPQ) (Portugal)Location Physical (in IPQ laboratories) because it includes laboratory sessionsDuration 1 day (6 hours)Language PortugueseTarget audience External: teachers and professors in science who perform measurementscertification Certificate of attendanceApplication area Practice of acquiring and processing experimental dataSpecific constraints/prerequisites (if any)Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Writing rules (Brochure on SI, chapter 5 and ISO 80000-1)
Detailed info at the existing training courses survey (here), in sheet "IPQ 3"
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Estimation of uncertainties and the use of reference materialsLocation onlineDuration A few daysLanguage EnglishTarget audience Practitioners working in laboratories who apply certified reference materials for statistical quality control, method validation and calibration and who need to assess measurement uncertainties. Laboratory managers and auditors who need to implement and acertification Certificate of completionApplication area Reference MaterialsSpecific constraints/prerequisites (if any) Appropriate internet connectionTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …) [PARTLY]
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Metrological traceability, proper selection and use of reference materials
Detailed info at the existing training courses survey (here), in sheet "JRC"
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Introduction to measurement uncertaintyTarget audience External : beginning on the subject MU. Employees of measurement laboratoriescertification Certificate of attendenceApplication areaSpecific constraints/prerequisites (if any)Topics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B) [PARTLY]
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty) [PARTLY]
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "LNE 1"
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Evaluation and control of MUOrganising body Training center LNE (France)Location physicalDuration 3 days (21 hours)Language frenchTarget audience internal and external : Engineers and technicians responsible for estimating and justifying uncertainties of measurement and test results, for physical and chemical quantitiescertification Certificate of attendenceApplication area -Specific constraints/prerequisites (if any) have taken the ME66 course or Occupy a metrology function in order to know the tools mathematics and statistics specific to metrologyTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "LNE 2"
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Evaluation of MU by MMCOrganising body Training center LNE (France)Location physical / onlineDuration 2 days (14 hours)Language FrenchTarget audience Engineers and technicians responsible for estimating and justifying uncertainties of measurement and test results, for physical and chemical quantitiescertification Certificate of attendanceApplication areaSpecific constraints/prerequisites (if any) Have previously followed the ME 13 course dedicated to JCGM 100 or a similar courseTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "LNE 3"
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Grundlagen der Messunsicherheit - Principes de base en incertitude de mesure (Basic principles in MU)Organising body METAS (Switzerland)Location METAS, Berne, SwitzerlandDuration 2 days (16 hours incl. breaks)Language German resp. French (on demand in English)Target audience Employees of metrology labs of private companies or accredited laboratories, scientists, METAS collaboratorscertification Certificate of attendanceApplication areaSpecific constraints/prerequisites (if any) Higher specialised educationTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …) [PARTLY]
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Validating LPU against MCM [PARTLY]
- Reporting the measurement result
- Practical hands-on example accopmpanying the theoretical modules
Detailed info at the existing training courses survey (here), in sheet "METAS 1"
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Messunsicherheit und Konformitätsbewertung (MU and evaluation of conformity)Organising body METAS (Switzerland)Location METAS, Berne, SwitzerlandDuration 2 days (14.5 hours incl. breaks)Language GermanTarget audience Conformity assessment bodies, test and verification laboratoriescertification Certificate of attendanceApplication areaSpecific constraints/prerequisites (if any) Higher specialised educationTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Calculation examples
Detailed info at the existing training courses survey (here), in sheet "METAS 2"
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Messunsicherheit in der analytischen Chemie und Biologie (MU in analytical chemistry and biology)Organising body METAS (Switzerland)Location METAS, Berne, SwitzerlandDuration 2 days (13 hours incl. breaks)Language GermanTarget audience Employees of metrology labs of private companies or accredited laboratories, scientists, METAS colleaguescertification Certificate of attendanceApplication area Analytical Chemistry and BiologySpecific constraints/prerequisites (if any) Maximum participants number: 25Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "METAS 3"
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Understanding Uncertainty BudgetsOrganising body National Physical Laboratory (United Kingdom)Location OnlineDuration Self-paced (2 days, 12 hours)Language EnglishTarget audience Both internal to NPL and external; quality managers in industry and manufacturing; testing and calibration professionals; academic and industrial scientists; anyone with an interest in the way measurement helps us learn about the world around uscertification NPL Certificate of AchievementApplication area MetrologySpecific constraints/prerequisites (if any) Completion of the NPL e-Learning course "Introduction to Measurement Uncertainty" is helpfulTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Focus on use of uncertainty budgets
Detailed info at the existing training courses survey (here), in sheet "NPL 1"
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Introduction to Measurement UncertaintyOrganising body National Physical Laboratory (United Kingdom)Location OnlineDuration Self-paced (0.5 day, 3 hours)Language EnglishTarget audience Those working in measurement or related roles, on the manufacturing shop floor, inspection departments and apprentices; anyone unfamiliar with the basic concepts of measurement uncertainty who needs an introductioncertification NPL Certificate of AchievementApplication area MetrologySpecific constraints/prerequisites (if any)Topics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B) [PARTLY]
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty) [PARTLY]
- Reporting the measurement result
- Understanding role of measurement uncertainty in traceability and calibration; understanding specifications and tolerances; understanding how risks are estimated to sustain good measurement-related decision-making
Detailed info at the existing training courses survey (here), in sheet "NPL 2"
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Understanding and Evaluating Measurement UncertaintyOrganising body National Physical Laboratory (United Kingdom)Location OnlineDuration Self-paced (2 days, 12 hours)Language EnglishTarget audience Both internal to NPL and external; quality managers in industry and manufacturing; testing and calibration professionals; academic and industrial scientists; anyone with an interest in the way measurement helps us learn about the world around uscertification NPL Certificate of AchievementApplication area MetrologySpecific constraints/prerequisites (if any) Some prior knowledge of the GUM, UKAS M3000 or comparable document; completion of the NPL e-Learning course "Understanding Uncertainty Budgets" is helpfulTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Analytical approaches to measurement uncertainty evaluation, and analytical solutions to specific problems, are also covered
Detailed info at the existing training courses survey (here), in sheet "NPL 3"
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Evaluating Measurement Uncertainty - CT002Organising body NSAI National Metrolgy Laboratory (Ireland)Location In-personDuration 1 day (7 hours)Language EnglishTarget audience Main target audience is operational staff in test and calibration laboratoriescertification Certificate of attendanceApplication areaSpecific constraints/prerequisites (if any) None, previous attendance at NSAI NML's training course CT-001 "Foundation course in measurement and calibration" is recommended depending on the experience of the attendeeTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B) [PARTLY]
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Simple measurement models, compliance statements
Detailed info at the existing training courses survey (here), in sheet "NSAI"
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Measurement uncertainty evaluation at calibration of measurement instrumentTarget audience Staff in test and calibration laboratories, PhD studentscertification Certificate of attendenceApplication area Calibration of measurement instrumentSpecific constraints/prerequisites (if any) Basic knowledge on maths and statisticsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Calculation examples
Detailed info at the existing training courses survey (here), in sheet "NURE"
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Electronic MeasurementOrganising body Politecnico di Torino (Italy)Location Physical and onlineDuration 80 hLanguage EnglishTarget audience Students enrolled in the Bachelor's degree at Politecnico di Torinocertification Final gradeApplication area ElectronicsSpecific constraints/prerequisites (if any) Mathematics: Analysis, basics of theory of probability and stochastic processes. Electronics: Circuit theory, basic operational amplifier circuits. Electronic measurements: Usage of multimeters and oscilloscopesTopics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "POLITO 1"
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Testing and CertificationTarget audience Students enrolled in the Master of Science degree at Politecnico di Torinocertification Final gradeApplication area ElectronicsSpecific constraints/prerequisites (if any) Concept of physical quantity, measurement, methods and uncertainty. Uncertainty evaluation according to the deterministic approach. Knowledge of working principle and use of the conventional instrumentation for electrical quantities. Knowledge of theTopics
- Review of probability concepts (random variables, distributions, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "POLITO 2"
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Sistemi di Misura e Sensori (Measurement Sistems and Sensors)Organising body Politecnico di Torino (Italy)Location Physical and onlineDuration 80 hLanguage ItalianTarget audience Students enrolled in the Master's degree at Politecnico di Torinocertification Final gradeApplication area ElectronicsSpecific constraints/prerequisites (if any) Electronics: Circuit theory, basic operational amplifier circuits. Electronic measurements: Usage of multimeters and oscilloscopes; Signal's Theory and Comunications;Topics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
- Spectral Analisys; Allan Deviation; Phase and Frequency noise;
Detailed info at the existing training courses survey (here), in sheet "POLITO 3"
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Einführung in die Berechnung der Messunsicherheit nach dem GUM" (Introduction to evaluating measurement uncertainty according to the GUM)Location Berlin, BraunschweigDuration 1 full day (7 hours)Language German, English on demandTarget audience PTB employees at all levelscertification certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) constraints: PTB affiliation, exceptions possible where the benefit to PTB can be proven and places are available, prerequisite: basic knowledge of mathematics, interest in the reliability of measurement resultsTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Brief introduction to Bayesian statistics
Detailed info at the existing training courses survey (here), in sheet "PTB 1"
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Einführung in die Berechnung der Messunsicherheit nach dem GUM" (Introduction to evaluating measurement uncertainty according to the GUM)Location BerlinDuration 1 full day (7 hours)Language GermanTarget audience employees of calibration laboratories and verification authorities (legal metrology)certification certificate of attendenceApplication areaSpecific constraints/prerequisites (if any) constraints: participants must be employees of calibration laboratories which are members of the DKD or employees of verification authorities (legal metrology) prerequisite: basic knowledge of mathematics, interest in the reliability of measurement resultTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Statistical foundations of measurement uncertainty evaluation
Detailed info at the existing training courses survey (here), in sheet "PTB 2"
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Incertitudes de mesureOrganising body SMD (Belgium)Location physical (online during pandemy)Duration 1 day (7 hours)Language French and DutchTarget audience Internal for now but could be opened to externalcertification NoApplication area Metrology in generalSpecific constraints/prerequisites (if any)Topics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …) [PARTLY]
- Input standard uncertainties and covariances (GUM Type A and Type B) [PARTLY]
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "SMD 1"
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Uncertainties for SPRT calibrations in fixed pointsOrganising body SMD (Belgium)Location physicalDuration 1 to 2 day (8 or 16 hours)Language English (French)Target audience external, employees of accredited laboratories (thermometry)certification Certificate of attendanceApplication area ThermometrySpecific constraints/prerequisites (if any) Working in a thermometry lab, already familiar with basics of uncertainty estimationTopics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- uncertainty related to fit model (ITS-90 : calibration at several fixed points, with concurrent fit functions)
Detailed info at the existing training courses survey (here), in sheet "SMD 2"
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Measurement uncertainty evaluation - Uncertainty and calibration curvesOrganising body SMD-ENS (NMI) (Belgium)Location physicalDuration 1 day (8 hours) - can be adapted to customers' needsLanguage Slides in English, oral explanations in French, Dutch or EnglishTarget audience NMI, internal accredited laboratoriescertification noApplication areaSpecific constraints/prerequisites (if any) Good mathematical knowledge and/or metrology experienceTopics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …)
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Interpolation, fitting, etc.
Detailed info at the existing training courses survey (here), in sheet "SMD 3"
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Measurement uncertainty evaluation - An overview of different techniques and methodsOrganising body SMD-ENS (NMI) (Belgium)Location physicalDuration 1 day (8 hours)Language Slides in English, oral explanations in French, Dutch or EnglishTarget audience NMI, internalcertification noApplication areaSpecific constraints/prerequisites (if any) Good mathematical knowledge and metrology experienceTopics
- Review of probability concepts (random variables, distributions, …)
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Validating LPU against MCM
- Reporting the measurement result
- Covers most of the theory and advanced methods
Detailed info at the existing training courses survey (here), in sheet "SMD 4"
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Measurement uncertainty for practitionersOrganising body United Kingdom Accreditation Service (United Kingdom)Location BothDuration 3 days (20 hours)Language EnglishTarget audience UKAS assessors, labs seeking ISO 17025 accreditation, already accreditated labs, others with similar requirements to apply GUM-LPUcertification Certificate of attendanceApplication areaSpecific constraints/prerequisites (if any) This course is designed for individuals already managing and/or applying uncertainty within their organisations who require greater awareness of measurement uncertainties and calculation of uncertainty budgets in a practical setting. This could include:Topics
- Review of mathematical tools (linear algebra, partial derivatives, linear regression, …) [PARTLY]
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- MCM for propagation of distributions (JCGM 101 univariate models)
- Reporting the measurement result
- Sources of uncertainty, dominant type A inputs, dominant type B inputs, uses such as conformance probability (specific risk), Decision Rules
Detailed info at the existing training courses survey (here), in sheet "UKAS"
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Introduction to working with measurement data ("Einführung in das Arbeiten mit Messdaten")Organising body University of Konstanz (Germany)Location physical with online material for preparation of each sessionDuration approx. 8 weeks with 2 hours contact time and preparation at home (40 hours in total)Language GermanTarget audience undergraduate students in B.Sc. Physicscertification attendenceApplication area physicsSpecific constraints/prerequisites (if any)Topics
- Basic metrological concepts (measurand, measurement model, error, accuracy, precision, repeatability, reproducibility, …)
- Input standard uncertainties and covariances (GUM Type A and Type B)
- LPU (GUM 1st or also higher orders Taylor expansion, expanded uncertainty)
- LPU (JCGM 102 multivariate models)
- MCM for propagation of distributions (JCGM 101 univariate models)
- MCM for propagation of distributions (JCGM 102 multivariate models)
- Validating LPU against MCM [PARTLY]
- Reporting the measurement result
Detailed info at the existing training courses survey (here), in sheet "UKN"
Disclaimer
The information in this database has been provided by the Members and Partners of the EMN for Mathematics and Statistics.
EURAMET has no influence on their correctness and does not assume any liability for it.