Measurement and Data Handling

Garant předmětu:

Aleš Vetešník, Dušan Vopálka

Lecturer:

Lucie Baborová, Aleš Vetešník, Dušan Vopálka

Tutor:

Lucie Baborová, Aleš Vetešník, Dušan Vopálka

Supervisor:

Department of Nuclear Chemistry

Synopsis:

Characteristics of statistical distribution functions (one-dimensional data), hypotesis testing, analysis of variance (ANOVA), correlation analysis, regression, statistical analysis of multidimensional data; chemometrics; testing of analytical methods; numerical methods and computers in data processing

Requirements:

Basic algebra and calculus.

Syllabus of lectures:

1.Basic terms of probability theory and statistics

2.Metrology and qualimetrics

3.Verification and validation of analytical methods

4.Testing of analytical methods and approaches

5.Regression and correlation analyses

6.Analysis of variance (ANOVA)

7.Principles of multivariate analysis

8.Methods of cluster and factor analyses

9.Basic numerical methods in data processing

10.Statistical analysis by Excel

11.Introduction to the use of MATLAB by data handling

12.Perspective on the development of chemometrics

Syllabus of tutorials:

1.Characteristics of random variables.

2.Central limit theorem.

3.Significance tests.

4.Quality of analytical measurements.

5.Regression and correlation.

6.Non-parametric and robust methods.

Study Objective:

Principles of evaluation of experimental results on the basis of theory of probability and statistical assessment of data.

Study materials:

Key references:

1. J.N.Miller, J.C. Miller: Statistics and Chemometrics for Analytical Chemistry (5th Ed.),Lavoisier 2005

Recommended references:

1. G. McPherson: Statistics in Scientific Investigation, Springer-Verlag, New York Berlin Heidelberg 1990

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Jaderná chemie (compulsory course in the program)