651-2036/01 – Chemometrics (CHM)
| Gurantor department | Department of Chemistry and Physico-Chemical Processes | Credits | 4 |
| Subject guarantor | Ing. Jiřina Vontorová, Ph.D. | Subject version guarantor | Ing. Jiřina Vontorová, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2022/2023 | Year of cancellation | |
| Intended for the faculties | FMT | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Knowledge of the basic chemometrics’ terms, validation parameters and methods of statistical treatment of experimental data.
Practical utilization of the available software for chemometrics calculations and for processing of measured data.
Teaching methods
Lectures
Tutorials
Summary
The aim of the lectures is to acquaint the students with the issue of the probability, statistics and data processing. Students will study how to use the validation procedures and how to evaluate correctly the measured data. The focus of the practical exercises is on the training of the computer software for chemometric calculations and other applications. Another aim of the practical courses is to help the students with the processing of their own data measured within diploma thesis and the treatment of the data obtained during other research activities.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Classified credit.
E-learning
Other requirements
1. Participation in seminars - 90%
2. Submission of semester work (MS Word)
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1 Introduction, definition of the chemometric.
2 Theory of errors. Classification of the errors.
3 Theory of the probability
4 Random variable. Definition of random variable. Discrete and continuous random variable.
5 Analysis of one-dimensional data.
6 Analysis of small data sets.
7 Exploratory analysis.
8 Statistical tests.
9 Analysis of variance ANOVA.
10 Linear regression.
11 Calibration.
12 Validation of analytical methods.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.