Course: Chemometrics I

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Course title Chemometrics I
Course code KRP/INSZD
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Javůrek Milan, doc. Ing. CSc.
Course content
Introduction to the basics of metrology, measurement error types, classification of measuring instruments. Repeated measurements of static data, evaluation procedures using statistical methods. Exploratory data analysis, robust statistics. Statistical hypothesis testing. Analysis of variance. Measurement of dynamic data. Regression techniques, rules of use. Different types of residuals. Linear regression, criticism of data, testing models. Different types of models. The calibration method. Nonlinear regression problems calculations, model testing, analysis of residuals. Different calculation methods.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities
Learning outcomes
The course aims to equip students with the statistical apparatus to a computer for analysis and further processing of experimental data and to teach students to work with software tools. Use of interactive statistical analysis allows to investigate the peculiarities of statistical data exploratory data analysis, validate assumptions about data collection and data quality evaluation performed to detect any deeper connections in the data.
Evaluation of experimental data independently.
Prerequisites
Basic knowledge of mathematics and statistics.

Assessment methods and criteria
Written examination, Home assignment evaluation

Successful treatment of all lab exercises by the end of the semester. Tasks are processed on a PC using the specified software to control and are sent by mail to the teacher. In the case of shortcomings in the processing of the job is returned to the relevant commentary. The processing of each task are given three attempts in case of failure is given the role of substitute. Detailed instructions are displayed on the subject.
Recommended literature
  • M. Meloun, J. Militký, Hill M. Počítačová analýza vícerozměrných dat v příkladech. Praha, 2005.
  • M. Meloun, J. Militký. Kompendium statistického zpracování experimentálních dat. Academia Praha, 2002. ISBN 80-200-1008-4.
  • M. Meloun, J. Militký. Statistické zpracování experimentálních dat. Academia Praha, 2004. ISBN 80-200-1254-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2016) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Controlling Technology (2015) Category: Electrical engineering, telecommunication and IT 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Controlling Technology (2016) Category: Electrical engineering, telecommunication and IT 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2015) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2013) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2015) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2016) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2014) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Controlling Technology (2014) Category: Electrical engineering, telecommunication and IT 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2014) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter