Subjects

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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
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 -

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)

Aim of the course -

Students will be able to:

realize statistical analysis in the MS Excel and Statistica software.

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)

Learning resources -

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

http://www.statistica.cz/

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)

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)

Course completion requirements -

Presence 80%, individual statistical project and examination.

Last update: TAJ323 (16.08.2013)

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