Materia
Quimiometría ambiental
Datos generales de la materia
- Modalidad
- Presencial
- Idioma
- Inglés
Descripción y contextualización de la asignatura
This course is an introduction to the application of statistic and chemometric tools to the analysis of data obtained mainly, but not only, after chemical analysis of a large variety of environmental samples. Descriptive and inference statistics are briefly reviewed, and the most important multivariate techniques for pattern recognition, classification and regression are also deeply investigated. Rather than on the mathematical detail, the course focuses on understanding the basic concepts behind each technique, and on selecting the most appropriate tool in each specific situation. The theoretical basis of the techniques considered will be illustrated by the resolution of exercises and case studies.Profesorado
Nombre | Institución | Categoría | Doctor/a | Perfil docente | Área | |
---|---|---|---|---|---|---|
DE DIEGO RODRIGUEZ, ALBERTO | Universidad del País Vasco/Euskal Herriko Unibertsitatea | Profesorado Titular De Universidad | Doctor | Bilingüe | Química Analítica | alberto.dediego@ehu.eus |
MADARIAGA MOTA, JUAN MANUEL | Universidad del País Vasco/Euskal Herriko Unibertsitatea | Profesorado Catedratico De Universidad | Doctor | No bilingüe | Química Analítica | juanmanuel.madariaga@ehu.eus |
OLIVARES ZABALANDIKOETXEA, MAITANE | Universidad del País Vasco/Euskal Herriko Unibertsitatea | Profesorado Titular De Universidad | Doctora | Bilingüe | Química Analítica | maitane.olivares@ehu.eus |
Competencias
Denominación | Peso |
---|---|
Que el estudiante conozca y sea capaz de aplicar los principios de Análisis estadístico de datos medioambientales. | 33.0 % |
Que el estudiante conozca y sea capaz de aplicar los principios de Aplicación del análisis multivariante. | 33.0 % |
Que el estudiante conozca y sea capaz de aplicar los principios del análisis de series temporales. | 33.0 % |
Tipos de docencia
Tipo | Horas presenciales | Horas no presenciales | Horas totales |
---|---|---|---|
Magistral | 20 | 30 | 50 |
Seminario | 5 | 7.5 | 12.5 |
P. Ordenador | 15 | 22.5 | 37.5 |
Actividades formativas
Denominación | Horas | Porcentaje de presencialidad |
---|---|---|
Clases teóricas | 50.0 | 50 % |
Prácticas de ordenador | 37.5 | 37 % |
Seminarios | 12.5 | 13 % |
Sistemas de evaluación
Denominación | Ponderación mínima | Ponderación máxima |
---|---|---|
Asistencia a clase | 10.0 % | 10.0 % |
Examen escrito | 40.0 % | 40.0 % |
Exposiciones | 20.0 % | 20.0 % |
Resolución de problemas y casos | 30.0 % | 30.0 % |
Resultados del aprendizaje de la asignatura
The student should be able to interpret correctly large series of data coming from the analysis of environmental samples, making use of the appropriate statistical and chemometric techniques and methods in each specific case.Convocatoria ordinaria: orientaciones y renuncia
The evaluation of this course will be of a mixed type. The final score will be obtained as the weighted average of the following sections: i) Lecture attendance (10%), bibliographic survey (20%), iii) practical tasks (30%) and iv) written examination (40%). A minimum score of 5.0 in each section will be required to pass the course. If the student waives the call, she/he will be graded as not presented.Convocatoria extraordinaria: orientaciones y renuncia
The extraordinary examination will be carried out in similar conditions than the ordinary one. If the student passed with a minimum grade of 5.0 any activity of the course that was already evaluated in the ordinary call, those activities will be taken into account in the extraordinary one. If the student waives the call, she/he will be graded as not presented.Temario
1.- Introduction: statistics, chemometrics, environmental analysis, multivariate data analysis2.- Basic statistics: descriptive and inference statistics
3.- Exploratory analysis
4.- Pattern recognition
5.- Classification
6.- Calibration and regression
Bibliografía
Materiales de uso obligatorio
Personal computerBibliografía básica
1.- M. Otto, Chemometrics, Statistics and Computer Application in Analytical Chemistry, Wiley, Weinheim, 19992.- D. A. Skoog, D. M. West, F. J. Holler, S. R. Crouch, Fundamentals of Analytical Chemistry, 8th edition, Thomson Brooks-Cole, Belmont, 2004
3.- J. N. Miller, J. C. Miller, Estatistics and Chemometrics for Analytical Chemistry, 4th edition, Pearson Education, Essex, 2000
4.- G. Ramis, M. C. García, Quimiometría, Síntesis, Madrid, 2001
5.- K. H. Esbensen, Multivariate Data Analysis – in Practice, 5th edition, CAMO Process AS, 2004
Bibliografía de profundización
1.- B. Kendall, C. Costello, Data Analysis for Environmental Science and Management, (http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.115.4159&rep=rep1&type=pdf)2.- G. Hanrahan, Environmental Chemometrics: Principles and Modern Applications, CRC Press, Boca Ratón, 2009
3.- J. W. Einax, H. W. Zwanziger, S. Geiss, Chemometrics in Environmental Analysis, VCH, Hamburg, 1997
Revistas
Chemometrics and Intelligent Laboratory systemsJournal of Chemometrics
Environmentrics
Enlaces
https://www.youtube.com/user/QualityAndTechnology/videos?view=0https://www.statisticshowto.com/probability-and-statistics/multivariate-analysis/
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