SubjectsSubjects(version: 948)
Course, academic year 2023/2024
  
Chemometrics - M323006
Title: Chemometrie
Guaranteed by: Department of Food Analysis and Nutrition (323)
Faculty: Faculty of Food and Biochemical Technology
Actual: from 2020
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:1/2, C+Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
For type: Master's (post-Bachelor)
Additional information: http://mms02.vscht.cz/vyuka/
Guarantor: Drábová Lucie Ing. Ph.D.
Kosek Vít Ing. Ph.D.
Interchangeability : N323017
This subject contains the following additional online materials
Annotation -
Last update: Pulkrabová Jana prof. Ing. Ph.D. (30.01.2018)
Principles of the statistical methods in chemistry, analysis food and other materials and sensory analysis. Statistical analysis using MS Excel and Statistica CZ (actual versions). Data containing up to millions of numerical values.
Aim of the course -
Last update: Fialová Jana (19.12.2017)

Students will be able to:

  • realize statistical analysis in the MS Excel and Statistica software.
Literature -
Last update: Fialová Jana (19.12.2017)

R: Elektronická učebnice statistiky na http://www.statistica/cz

R: Elektronická nápověda (help) v programu MS Excel

A: http://mms01.vscht.cz/vyuka/

Learning resources -
Last update: Fialová Jana (19.12.2017)

http://mms01.vscht.cz/vyuka/

http://www.statistica.cz/

Requirements to the exam -
Last update: Vlčková Martina Ing. (30.01.2018)

Within the extent of the syllabus.

Syllabus -
Last update: Pulkrabová Jana prof. Ing. Ph.D. (30.01.2018)

1. Basic terms, probability, statistics, hypothesis testing.

2. Statistical packages, Statistica for Windows (StatSoft) - actual version.

3. Regression and correlation.

4. Analysis of variance.

5. Basic principles of the multivariate methods.

6. Pattern recognition.

7. Cluzster analysis, dendrogram.

8. Analytical method testing.

9. Laboratory testing.

10. Interlaboratory tests.

11. Quality control, sewnsory analysis data.

12. Laboratory information systems.

13. Perspectives of the chemometrics, individual project definition.

14. Individual project - consulting, check.

Registration requirements -
Last update: Fialová Jana (19.12.2017)

Mathematics I

Course completion requirements -
Last update: Fialová Jana (19.12.2017)

Presence 80%, individual statistical project and examination.

Teaching methods
Activity Credits Hours
Účast na přednáškách 0.5 14
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 0.5 14
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 1 28
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