Type A
|
Code |
Competences Specific | | A1 |
Apply basic knowledge of mathematics, physics, chemistry and biology to oenology. |
Type B
|
Code |
Competences Transversal |
Type C
|
Code |
Competences Nuclear |
Type A
|
Code |
Learning outcomes |
| A1 |
Validar adequadament un mètode analític i controlar-ne els resultats.
Conèixer el tractament estadístic de les dades experimentals, que constitueixen punts bàsics per a obtenir uns resultats de qualitat.
|
Type B
|
Code |
Learning outcomes |
Type C
|
Code |
Learning outcomes |
Topic |
Sub-topic |
Introduction. Reference documents |
|
Basic statistics for the analytical laboratory |
Hypothesis testing
Analysis of variance (ANOVA)
Linear regression
|
Quality parameters (figures of merit) in chemical analysis |
Accuracy: trueness and precision
Selectivity, sensitivity, limits of detection and quantification, linearity, robustness
Calculation of the uncertainty of analytical results |
Quality control in the analytical laboratory |
Internal Quality Control
External Quality Control: interlaboratory comparison |
Big data in agrofood analysis.
Multivariate data analysis |
Representation techniques
Classification techniques
Prediction techniques |
Methodologies :: Tests |
|
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
Introductory activities |
|
2 |
0 |
2 |
Lecture |
|
12 |
12 |
24 |
Problem solving, exercises in the classroom |
|
12 |
18 |
30 |
Presentations / oral communications |
|
3 |
9 |
12 |
Personal attention |
|
1 |
0 |
1 |
|
Mixed tests |
|
3 |
3 |
6 |
|
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
|
Description |
Introductory activities |
Presentation of the course:
- Organization (schedule of tasks)
- Methodologies
- Evaluation criteria |
Lecture |
Teaching of the different subjects, after students have read a given text related to the topic. |
Problem solving, exercises in the classroom |
Resolution of practical cases related to the topics covered. |
Presentations / oral communications |
Presentation of reports (individual or in groups) of a proposed topic. |
Personal attention |
Resolution of doubts in the office or in a virtual way (Moodle or email) |
Description |
Individual tuition at the office, by appointment. |
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
Problem solving, exercises in the classroom |
|
|
45-50% |
Presentations / oral communications |
|
|
30% |
Personal attention |
|
|
0-5% |
Mixed tests |
|
|
20% |
Others |
|
|
|
|
Other comments and second exam session |
La segona convocatòria consistirà en un examen, que comptarà el 40% de la nota de l'assignatura, i, opcionalment, en la presentació dels treballs que no s'hagin presentat al llarg del curs, i que comptaran la nota corresponent, fins a un 50% del total de l'assignatura. En el cas de la resolució de problemes, es tindrà en compte la nota de la 1ª convocatòria. Durant les proves d'avaluació, els telèfons mòbils, tablets i altres aparells que no siguin expressament autoritzats per la prova, han d'estar apagats i fora de la vista. La realització demostrativament fraudulenta d'alguna activitat avaluativa d'alguna assignatura tant en suport material com virtual i electrònic comporta a l'estudiant la nota de suspens d'aquesta activitat avaluativa. Amb independència d'això, davant la gravetat dels fets, el centre pot proposar la iniciació d'un expedient disciplinari, que serà incoat mitjançant resolució del rector o rectora. |
Basic |
James N. Miller, Jane C. Miller, Statistics and chemometrics for analytical chemistry, 6th, Harlow : Pearson Prentice Hall, 2010.
|
|
Complementary |
|
|
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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