Course: Statistical Processing of Experimental Data

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Course title Statistical Processing of Experimental Data
Course code UOCHT/C107
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Pařík Patrik, Ing. Ph.D.
Course content
Basic concepts of mathematical statistics. Fundamentals of point estimation. Fundamentals of interval estimation. Statistical hypothesis testing. Exploratory data analysis. Analysis of variance. Statistical relationships analysis - correlation. Statistical relationships analysis - regression. Linear regression analysis. Non-linear regression analysis (univariate and multivariate optimization methods). Multivariate random variable. Multivariate statistical analysis - methods with latent variables (principal component analysis PCA, factor analysis FA, conjugated deviation analysis CDA, canonical correlation, partial least-squares regression PLS). Multivariate statistical analysis - classification analysis (discriminant analysis, agglomerative and divisive cluster analysis). Calibration.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities
Learning outcomes
The main aim of the course unit is to get up the knowledges of mathematical-statistical methods usually used for treatment and analysis of experimental data taken from experiments of chemical area. Chemometrical methods discussed offer valuable service for extraction of maximum relevant informations included with measured data. Accent is put in understanding of individual methods. Their applications enable students better experiment adjustment, aims definition, and problem solving using knowledges gained, literature offered and statistical software.
After graduation, student can take bearings in individual mathematical-statistical methods used, in possibilities and ways of their applications. He is ready to choose suitable method and to treat enter data, and after their evaluation to interpret and to analyze apparent or latent patterns included in data. After this, he can draw up or optimize selected part of chemical experiment or industrial process in better way.
Prerequisites
Fundametal knowledge of mathematics and main topics of chemistry in the range of bachelor study

Assessment methods and criteria
Oral examination

Understanding and active knowledge of statistics with reference to contents of course. Basic knowledge of computing. Training of work with statistical software
Recommended literature
  • Exner O.:. Korelační vztahy v organické chemii. SNTL. Praha 1981..
  • Meloun M., Militký J.:. Kompendium statistického zpracování dat. Academia, Praha 2002..
  • Meloun M., Militký J.:. Statistické zpracování experimentálních dat. Sbírka úloh. Univerzita Pardubice 1996..
  • Pytela O.:. Chemometrie pro organické chemiky. Skriptum. Univerzita Pardubice 2003..


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Chemical Technology Analysis of Biological Materials (2013) Special and interdisciplinary fields 1 Winter
Faculty of Chemical Technology Organic Chemistry (2013) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Technical Physical Chemistry (2013) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Bioanalyst (2013) Chemistry courses 2 Winter
Faculty of Chemical Technology Organic Chemistry (2016) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Bioanalyst (2013) Chemistry courses 1 Winter
Faculty of Chemical Technology Bioanalyst (2016) Chemistry courses 1 Winter
Faculty of Chemical Technology Inorganic ane Bioinorganic Chemistry (2015) Chemistry courses 2 Winter
Faculty of Chemical Technology Analytical Chemistry (2015) Chemistry courses 1 Winter
Faculty of Chemical Technology Inorganic ane Bioinorganic Chemistry (2016) Chemistry courses 2 Winter
Faculty of Chemical Technology Bioanalyst (2016) Chemistry courses 2 Winter
Faculty of Chemical Technology Inorganic ane Bioinorganic Chemistry (2013) Chemistry courses 2 Winter
Faculty of Chemical Technology Analytical Chemistry (2016) Chemistry courses 1 Winter
Faculty of Chemical Technology Organic Chemistry (2015) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Technical Physical Chemistry (2016) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Analysis of Biological Materials (2015) Special and interdisciplinary fields 1 Winter
Faculty of Chemical Technology Analysis of Biological Materials (2016) Special and interdisciplinary fields 1 Winter
Faculty of Chemical Technology Technical Physical Chemistry (2015) Engineering chemistry and chemistry of silicates 2 Winter
Faculty of Chemical Technology Bioanalyst (2015) Chemistry courses 1 Winter
Faculty of Chemical Technology Bioanalyst (2015) Chemistry courses 2 Winter
Faculty of Chemical Technology Analytical Chemistry (2013) Chemistry courses 1 Winter