SubjectsSubjects(version: 965)
Course, academic year 2024/2025
  
Chemometrics in Analytical Chemistry - M402018
Title: Analytická chemometrika
Guaranteed by: Department of Analytical Chemistry (402)
Faculty: Faculty of Chemical Engineering
Actual: from 2019
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:2/1, C+Ex [HT]
Capacity: unlimited / 60 (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Setnička Vladimír prof. Ing. Ph.D.
Kania Patrik Ing. Ph.D.
Classification: Chemistry > Analytical Chemistry
Interchangeability : AM402018, N402042
Is interchangeable with: AM402018
Annotation -
The subject is focused on understanding basic statistical methods and their applications, especially in analytical chemistry and clinical biochemistry.
Last update: Kania Patrik (23.08.2024)
Aim of the course -

Students will be able to:

• apply basic statistical methods for evaluating measurements in chemistry

• optimize measurements

• perform analytical method calibration

• use contingency tables

Last update: Kania Patrik (23.08.2024)
Course completion requirements -

Getting a credit from credit tests (or for the work out of a project) and successful completion of a written exam test (details during lectures).

Last update: Kania Patrik (23.08.2024)
Literature -

Recommended:

  • Miloslav Suchánek. KVALIMETRIE 16 Statistické metody v metrologii a analytické chemii. Praha: EURACHEM-ČR, 2009, s. ISBN 80-86322-04-1.
  • James N. Miller, Jane C. Miller, Robert D. Miller. Statistics and chemometrics for analytical chemistry. Harlow, England: Pearson, 2018, s. ISBN 978-1-292-18671-9.

Optional:

  • Jan Lepš, Petr Šmilauer. Biostatistika. : Jihočeská univerzita v Českých Budějovicích, 2024, s. ISBN 978-80-7694-066-6.
  • Stephen L. R. Ellison, Vicki J. Barwick, Trevor J. Duguid Farrant. Practical statistics for the analytical scientist, a bench guide. Cambridge: RSC Publishing, 2009, s. ISBN 978-0-85404-131-2.

Last update: Kania Patrik (02.09.2024)
Syllabus -

1. Basic terms from probability theory

2. Important probability distributions

3. Numerical characteristics of distribution

4. Basic processing and exploratory data analysis

5. Random sample and its characteristics

6. Hypothesis testing

7. Parametric statistical tests

8. Non-parametric statistical tests

9. One-factor analysis of variance

10. Multi-factor analysis of variance and factorial experiments

11. Optimization methods

12. Contingency tables

13. Correlation and regression analysis, calibration of the analytical method

14. Measurement uncertainties

Last update: Kania Patrik (23.08.2024)
Learning resources -

Study materials in the form of PDF files will be available at the selected web address.

Last update: Kania Patrik (02.09.2024)
Registration requirements -

Mathematics A

Last update: Kania Patrik (23.08.2024)
Teaching methods
Activity Credits Hours
Účast na přednáškách 1 28
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 1 28
Příprava na zkoušku a její absolvování 1.5 42
Účast na seminářích 0.5 14
4 / 4 112 / 112
 
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