Metrology and analytical methods validation

General data

Course ID:	0600-PS-AOS-MWA
Erasmus code / ISCED:	13.3 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0531) Chemistry The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Metrology and analytical methods validation
Name in Polish:	Metrologia i walidacja metod analitycznych
Organizational unit:	Faculty of Chemistry
Course groups:	(in Polish) Podyplomowe Studium Analityki w Ochronie Środowiska
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Prerequisites:	The graduates of natural sciences and life sciences area
Total student workload:	Number of lecture hours- 11 h Number of laboratory classes hours- 4 h
Learning outcomes - knowledge:	K1: Student knows the techniques for sampling, preparation and final analysis of environmental samples. K2: The student knows how to set priorities necessary for the implementation of their action to solve the task. K3: Is set to the best execution of tasks. K4: Student can independently perform the required tasks, and if the problems have recourse to the available literature.
Learning outcomes - skills:	S1: Can the correct way to apply the techniques for the collection, preparation and final analysis of environmental samples. S2: Properly uses a small laboratory equipment. S3: Performs independent measurements; prepare yourself preparations for analysis, can propose analytical procedures or methods. S4: Analyzes, interprets and calculates the results obtained in the laboratory tests.
Learning outcomes - social competencies:	SC1: The student knows how to set priorities necessary for the implementation of their action to solve the task. SC2 Is set to the best execution of tasks. SC3: Student can independently perform the required tasks, and if the problems have recourse to the available literature. SC4: Improves analytical thinking - works with a large amount of information, he sees the relationship between the properties of environmental matrices and analytes and the choice of an appropriate method for the determination. SC5: Focus on acquiring new knowledge.
Teaching methods:	- lectures as a multimedia presentations; - one by one and on-line consultations (distance learning); - laboratory exercises instructions prepared based on the information giving during the lectures are useful and required at the laboratory; - individual work with the apparatus and advanced analytical equipment under the teacher supervision; In addition, for all students are prepared printed materials and laboratory instructions.
Short description:	The course objective is to give the participants a general understanding of analytical chemistry. The participants are introduced to modern instrumental techniques and analytical approaches within e.g. environmental and food chemistry and plant biology. Basic skills are obtained for developing, validating and applying analytical methods to real world problems. Furthermore, the participants become familiar with methods for data processing, data analysis, statistical evaluation and quality assurance.
Full description:	Lecture The lectures will present the general chemical background of the measurement principles and instrumental techniques as well as theory on sampling, data processing, data analysis, quality assurance and method validation. Introduction to data processing, errors in chemical analyses, statistical analyses (including chemometrics) and data presentation, statistical analysis. Method development, evaluation, validation and QA/QC measures. Laboratory These exercises will train the students to carry out calculations on the data produced from different instrumental techniques including statistical analyses, reporting and QA/QC. Laboratory exercises: Compulsory laboratory exercises comprise projects which involve sampling, extraction and cleanup, methods of analysis, data processing and data evaluation. Here, the participants train the different instrumental techniques and get used to analytical work in the laboratory.
Bibliography:	1. R. Albert and W. Horwitz, Analytical Chemistry, 1997, 69, pp 789-790 2. W.J. Dixon, Ann. Math. Stat.1951, 22, p 68 3. Ch.Ch. Chan, H. Lam, Y. C. Lee, ,Analytical Method Validation and Instrument Performance Verification John Wiley & Sons, Inc. 2004 4. J.M. Green, A practical guide to analytical method validation, Analytical Chemistry, 1996, May 1, pp 305A/309A. 5. U.S. Pharmacopoeia 25, pp 2256-2259. 6. J. Vessman et al, IUPAC, Pure Appl. Chem., 2001, 73(8), pp 1381-1386.

This course is not currently offered.

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