Students will be evaluated in a continuous way according to their
attendance to the scheduled activities, their engagement in the seminars, their
discussions on the questions and numerical calculations, summary of workbook,
the laboratory practices and the mixed test.

Laboratory
practices are mandatory, otherwise the subject will not be aproved.

The
mixed test will consist of two parts: theoretical questions and exercises, each
part must be passed. In case of passing only part at the first opportunity, it will NOT be retained at the second opportunity.

FIRST
OPPORTUNITY

To pass the subject it is required to get, at least, 5 points (out
of 10) in the Objective test (exam) and in the laboratory practices. The final score of the subject will not be lower than that of the examen or the weighted sum of all scheduled activities.

Students will be qualified as "Not presented" whenever they do not
perform neither the laboratory practices nor the mixed test.

SECOND
OPPORTUNITY

The "second opportunity" should be understood as a
second opportunity for the mixed test (exam). All the original scores
associated to practices, seminars, readings, etc. will be maintained, only the
score of the exam made in second opportunity will substitute that of the first
opportunity. The final score of the subject will not be lower than that of the examen or the weighted sum of all scheduled activities.

Students may only obtain the qualification "with honors" whenever the total number of the assigments was not given in the first opportunity.

STUDENS WITH PARTIAL-TIME DEDICATION

The evaluation criteria applied is the same indicated previously.

STUDENTS EXEMPTED FROM REGULAR ATTENDANCE TO THE LESSONS

For the students exempted from regular attendance to the lessons, the same evaluation criteria indicated above apply (except in the part of Seminars where only the resolution of the questions / problems raised by the teacher will be taken into account). For them, the laboratory practices will be scheduled as flexible as possible, although taking into account the regular timetables, as well as the instrumental and human resources available. This holds for both evaluation opportunities

Learning outcomes	Study programme competences
To know how to select the proper analytical methodology for each particular problem.	A15 A16 A20 A22 A26	B3	C4 C6 C8
To know how to plan and execute the different stages of the analytical procedure to quantify analytes at trace levels, including the interpretation of the data.	A14 A17 A19 A20 A21 A23	B2 B4	C3
To know the main objectives of the most common chemometric techniques and to know their main application fields. To know how to extract relevant information from a multivariate study, in particular of a simplified environmental problem.	A14 A15 A16 A20 A26	B2 B4 B5	C2 C3 C4 C6

Topic	Sub-topic
Chapter 1: Introducing trace analysis	Importance of quantifying substances at trace levels. The analytical process when determining trace amounts: special requirements. Basic requisites and importance of sampling. Sources of errors when storing and treating samples. Quality assurance in trace analyses.
Chapter 2: Analyzing inorganic substances	Introduction. Decomposition and dissolution of inorganic matrices. Separation and preconcentration. Speciation of some relevant chemical elements. Examples of analytical applications.
Chapter 3: Analyzing organic substances	Introduction. Extraction methods for solid and liquid samples. Purification, fractionation and concentration of organic extracts. Examples of analytical applications.
Chapter 4: Automation in the analytical laboratory	Objectives of laboratory automation. Pros and cons. Classification of the automated analytical systems. Robotics. Miniaturization. Analysis of industrial processes.
Chapter 5: Introducing chemometrics	Defining chemometrics and its role in the analytical process. Concept of uncertainty and basic calculations.
Chapter 6: Statistical inference and univariate calibration	Most common inference statistical tests in laboratories. Analysis of Variance. Examples of applications in laboratories and industrial process control. Classical calibration by the least squares fit. Validation. Confidence intervals.
Chapter 7: Experimental design and optimization	Basic ideas of experimental design and optimization. Factorial designs, fractional factorial designs, Plackett-Burman designs, response surfaces. Sequential optimization by Simplex.
Chapter 8: Multivariate data analyses	Introduction. Classification of the most common pattern recognition methods. Unsupervised methods: principal components analysis, clustering. Supervised methods: SIMCA, k-nearest neighbours.
Laboratory	Students will apply the theoretical concepts studied in the theoretical lessons with the application of the analytical methodologies necessary to solve a real problem in the environmental, industrial, food, clinical ...

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Laboratory practice	A15 A16 A17 A19 A20 A21 A22 A23 A26 B3 B4 B5	20	32	52
Seminar	A15 A16 A20 A21 B2 B3 B4 C3	6	7.8	13.8
Workbook	C4 C6 C8	1	5	6
Guest lecture / keynote speech	A15 A16 A21 A22 C4	21	52.5	73.5
Mixed objective/subjective test	A14 A15 C2	3	0	3

Personalized attention		1.5	0	1.5

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Laboratory practice	They will consist on the determination of some analytes at trace levels in samples gathered from real problems (environmental samples, foodstuff, clinic mixtures, etc.). The practices emulate a comprehensive problem: from sampling to sample treatment, separation of the analyte, measurement and data interpretation. The student must deliver a laboratory notebook. In addition to laboratory practices where analytical instrumentation will be handled by students, other practices will be carried out on computers to study the chemometric concepts (mainly, the multivariate data analyses techniques). At the end of the laboratory work the student will deliver a report of the work done with a critical and detailed analysis.
Seminar	They are intended to reinforce the understanding of several concepts given at the theoretical lessons. Numerical exercises will be solved by the students. A comparison of the results generated in the laboratory practices will be made with other values gathered from other students. From the discussions, common sources of errors will be visualized. The student should perceive the difficulties inherent to the analyses of trace amounts of substances. Studies will be also made using computers to discuss a real multivariate dataset derived from environmental studies.
Workbook	Groups of students will be formed who will be assigned a reading selected by the teacher related to the trace analysis. Subsequently, the group must submit a short report in which it identifies and summarizes the successive strategy for solving the analytical problem in reading as well as the power point presentation of it.
Guest lecture / keynote speech	The teacher will develop and explain the basic contents of each chapter. Some documents will be delivered to the students before the classes and they should have been reviewed before attending them. Audiovisual media will be employed throughout. Open dialogue will be empowered sometimes to solve doubts and improve the understanding of some basic issues.
Mixed objective/subjective test	Written test to be held in the official call on January / July, in which the degree of learning and the acquisition of skills by the student is evaluated. It will consist of theoretical questions and applied questions, problem solving and practical content. The completion date is indicated on the examination timetable grade.

Methodologies	Competencies	Description	Qualification
Workbook	C4 C6 C8	The report delivered by the student will be examined. In particular, identification and justification of the analytical strategies presented into the work.	15
Seminar	A15 A16 A20 A21 B2 B3 B4 C3	Active participation of the students will be scored, as well as the correct answers to questions or numerical calculations.	15
Laboratory practice	A15 A16 A17 A19 A20 A21 A22 A23 A26 B3 B4 B5	They will be scored on a on-going basis (order into the laboratory, correctness of the calculations, good manual operations, report delivered on-time, etc.).	25
Mixed objective/subjective test	A14 A15 C2	The exam will consist of tests (with a unique true response), short questions and numerical exercises. They will be related to the theoretical aspects of the subject. Some questions on these practices will be included in the objective test.	45

Assessment comments
Students will be evaluated in a continuous way according to their attendance to the scheduled activities, their engagement in the seminars, their discussions on the questions and numerical calculations, summary of workbook, the laboratory practices and the mixed test. Laboratory practices are mandatory, otherwise the subject will not be aproved. The mixed test will consist of two parts: theoretical questions and exercises, each part must be passed. In case of passing only part at the first opportunity, it will NOT be retained at the second opportunity. FIRST OPPORTUNITY To pass the subject it is required to get, at least, 5 points (out of 10) in the Objective test (exam) and in the laboratory practices. The final score of the subject will not be lower than that of the examen or the weighted sum of all scheduled activities. Students will be qualified as "Not presented" whenever they do not perform neither the laboratory practices nor the mixed test. SECOND OPPORTUNITY The "second opportunity" should be understood as a second opportunity for the mixed test (exam). All the original scores associated to practices, seminars, readings, etc. will be maintained, only the score of the exam made in second opportunity will substitute that of the first opportunity. The final score of the subject will not be lower than that of the examen or the weighted sum of all scheduled activities. Students may only obtain the qualification "with honors" whenever the total number of the assigments was not given in the first opportunity. STUDENS WITH PARTIAL-TIME DEDICATION The evaluation criteria applied is the same indicated previously. STUDENTS EXEMPTED FROM REGULAR ATTENDANCE TO THE LESSONS For the students exempted from regular attendance to the lessons, the same evaluation criteria indicated above apply (except in the part of Seminars where only the resolution of the questions / problems raised by the teacher will be taken into account). For them, the laboratory practices will be scheduled as flexible as possible, although taking into account the regular timetables, as well as the instrumental and human resources available. This holds for both evaluation opportunities

Basic	CaMARA, C.; PEREZ-CONDE, C (2011). Análisis químico de trazas. Madrid, Sintesis MILLER, J.N.; MILLER, J.C. (2002). Estadística y quimiometría para química analítica, 4th edition. Madrid, Prentice-Hall RAMIS, G.; GARCIA, M.C. (2001). Quimiometria. Madrid, Sintesis MONGAY FERNÁNDEZ, CARLOS (2005). Quimiometría. Universidad de Valencia SOGORB SANCHEZ,M.A; VILANOVA GISBERT,E. (2004). Técnicas anallíticas de contaminantes químicos. Díaz de Santos, Madrid CAMARA, C.; FERNANDEZ, P.; MARTIN-ESTEBAN, A.; PEREZ-CONDE, C.; VIDAL, M. (2002). Toma y tratamiento de muestra. Madrid, Sintesis

Complementary	OTTO, M. (2007). Chemometrics : statistics and computer application in analytical chemistry . Weingeim, Willey-VCH KELLNER, R,; MERMET, J.M.; OTTO, M.; WIDMER, H.M. (2004). Analytical chemistry: a modern approach to analytical science. Winheim, Willey-VCH VALCARCEL, M.; CARDENAS, M.S. (2000). Automatización y miniaturización en química analítica. Barcelona, Springer-Verlag jOHN R. DEAN (2014). Environmental Trace Analysis : techniques and applications. United Kingdom, Wiley & Sons