Subject
Advanced Instrumental Analysis
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
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.Teaching staff
Name | Institution | Category | Doctor | Teaching profile | Area | |
---|---|---|---|---|---|---|
ARANA MOMOITIO, GORKA | University of the Basque Country | Profesorado Catedratico De Universidad | Doctor | Bilingual | Analytical Chemistry | gorka.arana@ehu.eus |
ZULOAGA ZUBIETA, OLATZ | University of the Basque Country | Profesorado Catedratico De Universidad | Doctor | Bilingual | Analytical Chemistry | olatz.zuloaga@ehu.eus |
Competencies
Name | Weight |
---|---|
That the student is capable of designing and developing advanced methods of instrumental analysis using mass spectrometry. | 40.0 % |
That the student is capable of developing chromatographic methods for the analysis of organic micro-polluting agents. | 30.0 % |
That the student is able to apply mass spectroscopy to environmental analysis. | 30.0 % |
Study types
Type | Face-to-face hours | Non face-to-face hours | Total hours |
---|---|---|---|
Lecture-based | 20 | 30 | 50 |
Seminar | 5 | 8 | 13 |
Applied classroom-based groups | 5 | 7 | 12 |
Applied laboratory-based groups | 10 | 15 | 25 |
Training activities
Name | Hours | Percentage of classroom teaching |
---|---|---|
Computer work practice, laboratory, site visits, field trips, external visits | 40.0 | 40 % |
Individual work and/or group work | 45.0 | 45 % |
Text analysis | 15.0 | 15 % |
Assessment systems
Name | Minimum weighting | Maximum weighting |
---|---|---|
Essay, Individual work and/or group work | 40.0 % | 60.0 % |
Investigator's Report | 40.0 % | 60.0 % |
Learning outcomes of the subject
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.Ordinary call: orientations and renunciation
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.Extraordinary call: orientations and renunciation
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.Temary
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
Bibliography
Compulsory materials
Personal computerBasic bibliography
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
In-depth bibliography
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
Journals
Chemometrics and Intelligent Laboratory systemsJournal of Chemometrics
Environmentrics
Links
https://www.youtube.com/user/QualityAndTechnology/videos?view=0https://www.statisticshowto.com/probability-and-statistics/multivariate-analysis/
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