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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
Qualifications:
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Level:
Additional information:	http://mms02.vscht.cz/vyuka/

Guarantor:	Drábová Lucie Ing. Ph.D. Kosek Vít Ing. Ph.D.
Interchangeability :	N323017

Examination dates

This subject contains the following additional online materials

E-learning course

Annotation -

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.

Last update: Pulkrabová Jana (30.01.2018)

Course completion requirements -

Presence 80%, individual statistical project and examination.

Last update: Fialová Jana (19.12.2017)

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: Fialová Jana (19.12.2017)

Requirements to the exam -

Within the extent of the syllabus.

Last update: Vlčková Martina (30.01.2018)

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: Pulkrabová Jana (30.01.2018)

Learning resources -

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

http://www.statistica.cz/

Last update: Fialová Jana (19.12.2017)

Learning outcomes -

Students will be able to:

realize statistical analysis in the MS Excel and Statistica software.

Last update: Fialová Jana (19.12.2017)

Registration requirements -

Mathematics I

Last update: Fialová Jana (19.12.2017)

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