nireEHU 
Subject
Environmental chemometrics
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
The statistical procedures to interpret large environmental data sets will be provided. First of all, environmental data sets will be considered and data pre-treatment and data display methods will be explained. Multivariate data analysis will be covered, including discriminant techniques, classification methods and regression analysis. Finally, time series analysis will be outlined.Aims
¿ To understand and apply multivariate approach to interpret the environmental data
Objetives
At the end of this Unit, you should:
1. use and apply multivariate data analysis methods; and
2. interpret the environmental outcomes from large data sets
Key skills acquired
At the end of this Unit, you should be able:
1. to apply a multivariate approach to interpret the environmental data
Teaching staff
| Name | Institution | Category | Doctor | Teaching profile | Area | |
|---|---|---|---|---|---|---|
| DE DIEGO RODRIGUEZ, ALBERTO | University of the Basque Country | Profesorado Titular De Universidad | Doctor | Bilingual | Analytical Chemistry | alberto.dediego@ehu.eus |
| MADARIAGA MOTA, JUAN MANUEL | University of the Basque Country | Profesorado Catedratico De Universidad | Doctor | Not bilingual | Analytical Chemistry | juanmanuel.madariaga@ehu.eus |
| OLIVARES ZABALANDIKOETXEA, MAITANE | University of the Basque Country | Profesorado Titular De Universidad | Doctor | Bilingual | Analytical Chemistry | maitane.olivares@ehu.eus |
Competencies
| Name | Weight |
|---|---|
| Que el estudiante conozca y sea capaz de aplicar los principios de Análisis estadístico de datos medioambientales. | 40.0 % |
| Que el estudiante conozca y sea capaz de aplicar los principios de Aplicación del análisis multivariante. | 30.0 % |
| Que el estudiante conozca y sea capaz de aplicar los principios del análisis de series temporales. | 30.0 % |
Study types
| Type | Face-to-face hours | Non face-to-face hours | Total hours |
|---|---|---|---|
| Lecture-based | 20 | 30 | 50 |
| Seminar | 5 | 7.5 | 12.5 |
| Applied computer-based groups | 15 | 22.5 | 37.5 |
Training activities
| Name | Hours | Percentage of classroom teaching |
|---|---|---|
| Computer practicals | 37.5 | 40 % |
| Lectures | 50.0 | 40 % |
| Seminars and tutorials, laboratory sessions, etc. conducted with the project manager | 12.5 | 40 % |
Assessment systems
| Name | Minimum weighting | Maximum weighting |
|---|---|---|
| Computer practicals | 30.0 % | 30.0 % |
| Work and explaining | 30.0 % | 30.0 % |
| Written examination (theory) | 40.0 % | 40.0 % |
Learning outcomes of the subject
At the end of this Unit, you should be able:1. to apply a multivariate approach to interpret the environmental data
Temary
Topics covered include:Basic statistics
Principal component analysis and partial least squares methods
Discriminant analysis and classification methods.
Analysis of time series
Bibliography
Basic bibliography
G. Hanrahan. 2009. Environmental chemometrics : principles and modern applications. CRC Press, Boca Ratón, USAJ. Einax. 1997. Chemometrics in environmental chemistry: statistical methods. Springer-Verlag, Berlin, Al.