94279 - GENERAL ASSESSMENT

Conoscenze e abilità da conseguire

At the end of the course the student will be aware of the central role of experimental assessment for chemical innovation of for the effective application of chemical regulation. The student will acquire a knowledge of reference materials and procedures for best laboratory assessment. She/he will know the statistical parameters that characterize the iuncertainty of analytical data. The student will be able to; 1. assess the uncertainty of analytical data exploiting statistical methods; 2. manage experrimental complexity; 3. design the most correct choice of parameters and contition to perform efficiently the experimental workload.

Contenuti

This CU is composed of three modules:

(1) Measuring Variability and Statistical Decision:
Deviations in experimental results: random, systematic and gross. How to measure and how to minimize random and systematic deviations. Parameters for measuring data dispersion. Parameters for measuring data location. The concept of probability and the role of statistics in Quality Control. Random distributions. Gaussian distribution. The Central Limit Theorem. Confidence intervals. Statistical decision tests: comparison of a mean to a reference value or comparison of two means (z-tests and t-tests, including paired t-test), comparison of variances (F-test), comparison of distributions (chi-square tests) and tests for outliers (Q-test). Analysis of variance: use of one-way and two-ways ANOVA in the analysis of data variability caused by different sources.

(2) Experimental Design and Optimization:
Description of a general optimization flowchart.
Assessment of optimization criteria. Single and multi-objective responses.
Application of screening methods for searching for relevant variables.
Application of statistic methods focused on the study of factors and interactions.
Implementation of strategies for simultaneous optimization of interacting variables.

(3) Reference Materials and Proficiency Testing Schemes
Different types of reference materials available and its proper use in an analytical laboratory, both in the validation step of an analytical method and in different steps of the laboratory quality control system (internal and external quality control). The preparation steps involved in production of RMs as well as all the analytical work required for homogeneity and stability tests. Different types of intercomparison exercises and the different steps involved in the organization of a PT scheme. The minimum statistical tools for the evaluation of the technical competence of a laboratory participating in a PTS will be introduced.

Testi/Bibliografia

Lecture notes and selected papers will be available for students.

Recommended reading:

• James N. Miller, Jane C. Miller, “Statistics and Chemometrics for Analytical Chemistry”, 4th ed., Prentice Hall, 2000.
• Proficiency Testing in Analytical Chemistry. R.E. Lawn, M. Thompson, R. F. Walker. Royal Society of Chemistry. LGC (Teddington), 1997. ISBN: 0-85404-432-9.
• Practical statistics for the analytical scientist. A bench guide. T. Farrant. Royal Society of Chemistry. LGC (Teddington), 1997. ISBN: 0-85404-442-6

Metodi didattici

The course unit is divided in three modules taught independently at different times in the academic year.

Each module is organized in theoretical classes where main concepts are explained, as well as tutorial classes with discussion of case-study examples.

Modalità di verifica e valutazione dell'apprendimento

Each module is assessed independently through homework assignments (20%) and a written assignment (80%).

The Curricular Unit grade will be the arithmetic mean of grades from the three modules.

Orario di ricevimento

Consulta il sito web di Isabel Maria Palma Antunes Cavaco

Consulta il sito web di Susana Amezqueta Perez

Consulta il sito web di Javier Vicente Saurina Purroy