Introduction to Chemometric Methods and Experimental Planning
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Chemistry |
Instance: 2019/2020 - 1S 
Cycles of Study/Courses
Teaching language
Suitable for English-speaking students
Objectives
The objective of this course is to teach the theoretical foundations and the use of chemometric techniques and experimental design for quality control of analytical results in the analytical process.
Learning outcomes and competences
At the end of this course the student will have acquired knowledge, skills and powers to:
comprising:
- Understand the need to implement a system of quality control of the results of chemical analysis
- Understand the purpose of chemometric methods
- Understand the purpose of experimental designs
skills:
- Apply the techniques of quality control in chemical analysis
- Apply commercial software for data analysis
- Communicate orally and in writing the procedures for quality control of a given problem, including all aspects presented in Knowledge.
knowledge:
- The selection of the best chemometric techniques to implement quality control procedures in the chemical analysis processes
- Discuss the advantages and disadvantages of chemometric methods and experimental design
Working method
Presencial
Pre-requirements (prior knowledge) and co-requirements (common knowledge)
Program
1. Exploration and data visualization
2. Analysis of variance
3. Design of experiments
4. Cluster analysis.
Hierarchical Cluster Analysis (HCA)
Dendrograms: Construction and interpretation
Nonhierarchical clustering: (K Means)
5. Principal components analysis (PCA)
6. Quality of measurements
7. Control and quality assurance
8. Statistical evaluation of the performance of analytical methods
9. ISO 5725 Standard: an introduction
Mandatory literature
James Miller, Jane C Miller and Robert D Miller; Statistics and Chemometrics for Analytical Chemistry, Pearson, 2018. ISBN: 978-1292186719 (7th edition)
Complementary Bibliography
E.Morgan; Chemometrics: Experimental Design, Wiley, 1995. ISBN: 9788126517435
Richard G. Brereton; Applied Chemometrics for Scientists, WILEY, 2007. ISBN: 978-0-470-01686-2
Teaching methods and learning activities
The students will be introduced to the theory of chemometrics and experimental design in a context of quality control through lectures. The students will work on data analytical problems using the taught methods and software to analyze data.
keywords
Physical sciences > Chemistry > Analytical chemistry
Evaluation Type
Evaluation with final exam
Assessment Components
| designation |
Weight (%) |
| Exame |
70,00 |
| Trabalho prático ou de projeto |
30,00 |
| Total: |
100,00 |
Amount of time allocated to each course unit
| designation |
Time (hours) |
| Estudo autónomo |
159,00 |
| Frequência das aulas |
84,00 |
| Total: |
243,00 |
Eligibility for exams
Minimum participation of 3/4 of T / TP classes.
3 practical works, with the respective writing and presentation.
Calculation formula of final grade
The evaluation will be based on:
(a) 3 practical assignments, with the respective writing and presentation
(b) 1 exam (E).
Final grade = 0.3 x TA + 0.7 x E
TA is the average grade of 3 assignments.
The grade of each of three assignments, includes the evaluation of the report of the practical work and the note of its oral presentation)
E - grade obtained in the written exam.
Examinations or Special Assignments
Internship work/project
Special assessment (TE, DA, ...)
Students in a Special Regime (TE, DA, ...) who did not participate in T / TP classes should prepare, in addition to the 3 practical assignments previously mentioned, two 15 to 20 page monographs on two subjects proposed for Module I and II.
Classification improvement
Only the part related to the Final Exam
Observations