617-1808/01 – Chemometrics (CHM)

Gurantor departmentDepartment of ChemistryCredits5
Subject guarantordoc. Ing. Michal Ritz, Ph.D.Subject version guarantordoc. Ing. Michal Ritz, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageCzech
Year of introduction2014/2015Year of cancellation2016/2017
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
VON37 Ing. Jiřina Vontorová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

Using available software for chemometrics calculations. Practical use of these software to data processing.

Teaching methods

Project work


Subject was established as a continuation of primary maths courses dealing with probability, statistics and data processing. Particular attention is paid to utilization of currently avaliable PC software for chemometrics calculations and for further applications. Aim of the subject is among others also to help students with processing of measured data within diploma and other scientific works.

Compulsory literature:

[1] Ryan, T. P. Statistical methods for Quality Improvement. J. Wiley, New York 1989. [2] Wetheril, G. B., Brown, D. W., Statistical Process Control, Theory and Practice. Chapman and Hall, London 1991.

Recommended literature:

[1] Orvis, W., J. Excel pro inženýry Computer Press, Praha 1996, 498 s.

Way of continuous check of knowledge in the course of semester


Other requirements

There are no additional requirements for students.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1st The definition of chemometrics. Revision of probability and statistics. Escrow probability. Random variable. Population. Random selection. 2nd Distribution function, probability density, probability function. Torque characteristics of distribution. The central limit theorem. Some division probability. 3rd Samples used software-Excel, ADSTAT. 4th Samples used software-ADSTAT QC Expert. 5th Samples used software QC-Expert. Accuracy class devices. 6th Exploratory analysis of univariate data (EDA). The general procedure and purpose of the EDA. A representative random sample, sequential order statistics and probability. 7th Transforming data. Reasons for use and principle. Verification of the data provided. Verification of independence, normality and homogeneity of choice. 8th Testing statistical hypotheses. Statistical hypothesis test statistics hypothesis, the critical value. To test hypotheses. 9th Analysis of small horn selection process. 10th Analysis of variance ANOVA. Single-factor ANOVA. Two-factor ANOVA. 11th Regression analysis. Linear regression models. Polynomial regression. 12th Basic information about the non-linear regression. 13th Calibration and optimization. Linear calibration. 14th Non-linear calibration. Standard addition method.

Conditions for subject completion

Full-time form (validity from: 2014/2015 Winter semester, validity until: 2016/2017 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 45  21
        Examination Examination 55  30
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2015/2016 (N3909) Process Engineering (3911T008) Chemical and Physical Methods of Material Testing P Czech Ostrava 2 Compulsory study plan
2014/2015 (N3909) Process Engineering (3911T008) Chemical and Physical Methods of Material Testing P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner