Course: Data Treatment

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Course title Data Treatment
Course code KMI/ZDA
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction Czech, English
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Bajzík Vladimír, doc. Ing. Ph.D.
  • Porkertová Jindra, Ing.
Course content
unspecified

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
Learning outcomes
Basic statistical characteristics of univariate data. Function of random variables - Taylor expansion. Exploratory data analysis. Visual evaluation of the data peculiarities. Construction of the data distribution. Comparison of the data distribution with the theoretical distribution, Data transformation removing heteroscedasticity, leading to the symmetrization and to normality. Basic statistic assumptions about data, the minimum sample size, detection of outliers in measurements, tests of normality and independence, basics of correlation and regression.

Prerequisites
Knowledge of mathematics form grammar school

Assessment methods and criteria
Written exam

Recommended literature
  • Anděl, J.. Matematická statistika, SNTL/ALFA, 1985..
  • Anděl, J. Statistické metody. Matfyzpress Praha, 1998.
  • MELOUN,M.-MILITKÝ,J. Statistické zpracování experimentálních dat. PLUS s.r.o. Praha, 1992.


Study plans that include the course
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Faculty: Faculty of Textile Engineering Study plan (Version): Textile Technologies, Materials and Nanomaterials (2012) Category: Textile production and clothing industry 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Textile Engineering Study plan (Version): Textile Technologies, Materials and Nanomaterials (2016) Category: Textile production and clothing industry 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Textile Engineering Study plan (Version): Textile Technologies, Materials and Nanomaterials (2012) Category: Textile production and clothing industry 2 Recommended year of study:2, Recommended semester: Winter