Chemometrics - N323017
Title: Chemometrie
Guaranteed by: Department of Food Analysis and Nutrition (323)
Faculty: Faculty of Food and Biochemical Technology
Actual: from 2021
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: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
Is provided by: M323006
For type:  
Additional information: http://mms02.vscht.cz/vyuka/
Guarantor: Pudil František Ing. CSc.
Kocourek Vladimír prof. Ing. CSc.
Poustka Jan prof. Dr. Ing.
Is interchangeable with: M323006
Examination dates   Schedule   
Annotation -
Last update: TAJ323 (12.12.2013)
Principles of the statistical methods in chemistry food analysis 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: TAJ323 (16.08.2013)

Students will be able to:

  • realize statistical analysis in the MS Excel and Statistica software.
Literature -
Last update: TAJ323 (16.08.2013)

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: TAJ323 (16.08.2013)

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

http://www.statistica.cz/
Teaching methods -
Last update: Pudil František Ing. CSc. (15.08.2013)

Lectures, training and individual project
Requirements to the exam -
Last update: Pudil František Ing. CSc. (15.08.2013)

Attendance at lectures a seminars
Syllabus -
Last update: TAJ323 (16.08.2013)

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.
Entry requirements -
Last update: Pudil František Ing. CSc. (15.08.2013)

Mathematics I, recommended Mathematics II and Applied statistics or other statisticaly oriented lectures and seminars
Registration requirements -
Last update: Pudil František Ing. CSc. (15.08.2013)

Mathematics I
Course completion requirements -
Last update: TAJ323 (16.08.2013)

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
4 / 4 112 / 112
Coursework assessment
Form Significance
Regular attendance 50
Defense of an individual project 25
Examination test 25