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
Qualifications:  
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Level:  
Is provided by: M323006
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 -
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.
Last update: TAJ323 (12.12.2013)
Course completion requirements -

Presence 80%, individual statistical project and examination.

Last update: TAJ323 (16.08.2013)
Literature -

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

R: Elektronická nápověda (help) v programu MS Excel

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

Last update: TAJ323 (16.08.2013)
Teaching methods -

Lectures, training and individual project

Last update: PUDILF (15.08.2013)
Requirements to the exam -

Attendance at lectures a seminars

Last update: PUDILF (15.08.2013)
Syllabus -

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.

Last update: TAJ323 (16.08.2013)
Learning resources -

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

http://www.statistica.cz/

Last update: TAJ323 (16.08.2013)
Learning outcomes -

Students will be able to:

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

Mathematics I, recommended Mathematics II and Applied statistics or other statisticaly oriented lectures and seminars

Last update: PUDILF (15.08.2013)
Registration requirements -

Mathematics I

Last update: PUDILF (15.08.2013)
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