Subjects(version: 916)

Data Processing in Statistics - N323008
Title: Statistické zpracování dat Department of Food Analysis and Nutrition (323) Faculty of Food and Biochemical Technology from 2015 to 2020 winter winter s.:3 winter s.:3 winter s.: winter s.:1/2, MC [HT] 20 / 20 (unknown) unlimited Czech full-time http://mms01.vscht.cz/vyuka/
Guarantor: Pudil František Ing. CSc.Kocourek Vladimír prof. Ing. CSc. B323006
Examination dates   Schedule
 Annotation - ---CzechEnglish
Last update: TAJ323 (12.12.2013)
Basic statistical analysis with small numerical data sets. Working with the actual versions of MS Excel and Statistica for Windows (StatSoft).
 Aim of the course - ---CzechEnglish
Last update: TAJ323 (12.12.2013)

Student will be able to:

• Use statistic functions and macros in MS Excel, simple statistic analysis with Statistica (modul Basic).
 Literature - ---CzechEnglish
Last update: TAJ323 (16.08.2013)

R: Eckschlager K., Horsák I., Kodejš Z.: Vyhodnocování analytických výsledků a metod, SNTL Praha, 1980, ISBN 04-610-80

Electronic resources:

R: Elektronická nápověda k programu MS Excel podle aktuální verze

R: http://www.statistica.cz/

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

 Learning resources - ---CzechEnglish
Last update: Pudil František Ing. CSc. (15.08.2013)

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

 Teaching methods - ---CzechEnglish
Last update: Pudil František Ing. CSc. (15.08.2013)

Lectures, seminars and individual work

 Requirements to the exam - ---CzechEnglish
Last update: Pudil František Ing. CSc. (15.08.2013)

Lectures, seminars and individual project

 Syllabus - ---CzechEnglish
Last update: TAJ323 (16.08.2013)

1. History introduction, histogram, random value.

2. Frequency - absolute, relative, cumulative and relative cumulative, probability, random selection, variartion, permutation, combination.

3. Frequency and distributin function.

4. Absolute and relative error, statistical estimations, mean value, variance, curtoisis, skewnes.

5. Statistical tests - parametric.

6. Statistical tests - nonparametric.

7. Regression - linear.

8. Regression - nonlinear, polynomic, linearization.

9. Correlation, coefficient and matrix.

10. Analysis of variance.

11. Introduction to the multivariate methods.

12. Basic principles of the neural networks.

13. Using fuzzy sets.

14. New trends in data processing.

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

Required N413002

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

Mathematics I, Computer technology I

 Course completion requirements - ---CzechEnglish
Last update: Pudil František Ing. CSc. (15.08.2013)

Individual statistical project

 Teaching methods Activity Credits Hours Účast na přednáškách 0,5 14 Práce na individuálním projektu 1,5 42 Příprava na zkoušku a její absolvování 1 28 Účast na seminářích 1 28 4 / 3 112 / 84
 Coursework assessment Form Significance Regular attendance 50 Defense of an individual project 50

VŠCHT Praha