615-0808/01 – Chemometrics (CHM)
| Gurantor department | Department of Analytic Chemistry Processes | Credits | 5 |
| Subject guarantor | doc. RNDr. Ervín Kozubek, CSc. | Subject version guarantor | doc. RNDr. Ervín Kozubek, CSc. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2004/2005 | Year of cancellation | 2013/2014 |
| Intended for the faculties | FMT | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
Using available software for chemometrics calculations. Practical use of these software to data processing.
Teaching methods
Lectures
Tutorials
Project work
Summary
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] Eckschlager, K. Chemometrie [Skripta]. UK, Praha 1991, 156 s.
[2] Meloun, M., Militký, J. Statistické zpracování experimentálních dat Plus,
s.r.o., Praha 1994, 839 s.
[3] Meloun, M., Militký, J. Kompendium statistického zpracování dat Academia,
Praha 2002, 764 s.
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
E-learning
Other requirements
There are no additional requirements for students.
Prerequisities
Subject has no prerequisities.
Co-requisities
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction