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Lecturer(s)
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Krejčová Anna, doc. Ing. Ph.D.
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Widenská Eva, Ing. Ph.D.
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Course content
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Lectures 1. Quality, quality management systems (SMJ) - definition, development. ISO 9000 standard serie. Quality and QMS in chemistry (ČSN EN ISO / IEC 1702). 2. Documentation of laboratory QMS. Quality manual. Standard operating procedure. Metrological order./ Assessing the quality of chemical laboratories. 3. Data processing requirements - terminology, International metrology dictionary, uncertainty. 4. Metrology and continuity in chemistry. Metrology Act. Ensuring traceability y in the chemical laboratory.Certified reference materials. External quality evaluation.. 5. Choice of optimal method - selection of considered factors. 6. Validation of analytical methods. Validated parameters. 7. Quality assurance, management and verification. Internal quality control procedures. 8. Sources of Information for the experimental plan. Definition of objectives. 9. Technical background of laboratory experiment. 10. Parameteres evaluated in experiment planning. 11. Sampling plan. Methods of experiment planning. 12. Results evaluation: basic statistical procedures, data presentation. 13. Sustainability study, its evaluation, experimental plan revision. Seminar 1. Introduction to data evaluation. Types of errors. Accuracy, accuracy, consistency. 2. Uncertainties - definition, components, uncertainty estimation procedure, practical calculations. Position, dispersion and shape measures. 3. Point and interval estimates. Practical examples from chemical laboratory. 4. Point and interval estimates. Practical examples from chemical laboratory. 5. Hypothesis testing. Practical examples from chemical laboratory. 6. Hypothesis testing. Practical examples from chemical laboratory. 7. Analysis of variance. Practical examples from chemical laboratory. 8. Analysis of variance. Practical examples from chemical laboratory. 9. Linear regression. Practical examples from chemical laboratory. 10. Linear regression. Practical examples from chemical laboratory. 11. Statistical methods in solving specific chemical problems - case study. 12. Statistical methods in solving specific chemical problems - case study. 13. Statistical methods in solving specific chemical problems - case study.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Skills training
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Learning outcomes
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The aim of the course is to acquaint students with the quality management system for laboratories, to teach them to plan experimental work and simple statistical procedures to analyze experimental one-dimensional data, to teach them to work with software tools and apply them in common laboratory practice in chemical data processing.
After completing the course, students are able to orientate in the current system to ensure data quality and gain practical skills that are necessary for specialists ensuring quality control in chemical laboratories and institutions in the field of environmental protection. They are qualified to prepare the laboratory documentation. After passing the course, student are able to simply evaluate one-dimensional laboratory data, estimate uncertainties, parameters of location, dispersion and shape, to test the accuracy and consistency, and find outlier values, to extracted from the data the maximum amount of useful information. Students can work with analysis of variance and linear regression. They can apply the statistical resources in laboratory practice to solve common operational tasks, such as validation of methods.
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Prerequisites
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Basic PC skills are required. There are no special requirements for students or the assumptions on the prior knowledge of statistics and mathematics. Students should be familiar with using a computer and basic software (eg Microsoft Office), and when working with text and graphs.
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Assessment methods and criteria
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Oral examination, Written examination, Student performance assessment
The final exam has written and oral part, the term essay is included.
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Recommended literature
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Operační manuál programu Effichem verze 3.
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Platné české právní předpisy a normy.
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Crosby, N. T., Prichard, F. E. Quality in the Analytical Laboratory.
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Crosby, N. T., Prichard, F. E. Quality in the Analytical Laboratory. Chichester, 1995.
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Mestek, O., Nondek, L. Zásady správného odběru vzorků pro analýzu životního prostředí. Praha, 1995.
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