Czech

Not applicable.

The main outputs of the subject are in particular:
- Comprehensive information on the basic numerical methods for data processing, basic methods of numerical processing simple dependencies and data smoothing.
- Practical application of acquired knowledge in the processing of experimental data from selected topics in MS-Excel and Origin.
- Theoretical and practical knowledge and skills in measurement uncertainty.

mathematics, chemical informatics

Not applicable.

Teaching consists of lectures with specific examples illustrating the lecture problems. Electronic whiteboard is used during the teaching and written text, charts and notes are recorded and form an integral part of the study materials. Study text is produced directly in the classroom wia this procedure.
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Successful completion of tests (eLearning) during the semester and calculations of the problems of measurement uncertainty. The tests are focused on active processing of the experimental data (data processing nominal variables, correlation and regression, probability of statistical phenomena, characteristics of random variables, distribution functions, parametric and non-parametric statistical tests). Numerical calculations are focused on measurement uncertainty of type A, B, combined and expanded uncertainty.

Part I - Data processing (Week I - IV)
1. Statistical surveys - data collection
2. Data processing, display and analysis of basic data
3. Expressing variability
4. Mean of grouped data, weighted average
5. Measures of position
6. Correlation
7. Linear regression
Part II - Normal distribution (Week V - VIII)
8. Binomial distribution
9. Normal distribution
10. Distribution of average
11. Distribution of parts
12. Confidence intervals
Part III - Testovní hypotheses (Week IX - X)
13. Testing of hypotheses I and II
Part IV - Uncertainty of measurement (week of XI - XII)
14. Uncertainty direct measurements
15. Uncertainty of indirect measurements
16. Combined and expanded uncertainty

Not applicable.

The aim is to complement and obtain new theoretical information and practical skills needed for numerical processing data obtained by own experimental activities.

Successful completion of the tests during the semester, information for processing of tests and their solution is implemented through e-learning system BUT Moodle.

Not applicable.

Not applicable.

Šťastný Z. : Matematické a statistické výpočtu v Microsoft® Excelu. Computer Press, Brno 1999 (CS)
Meloun M., Militký J. : Kompendium statistického zpracování dat. Academia, Praha 2002 (CS)
Cyhelský L., Kahounová J., Hindls R. : Elementární statistická analýza. Management press, Praha 1999 (CS)

Carley A. F., Morgan P. H. : Computaional Methods in the Chemical Sciences. Ellis Horwood Limited, Chichester 1989 (CS)
Schnoor J.L. : Environmental Modeling. John Wiley a Sons, Inc., New York 1996 (CS)
Graham R.C. : Data Analysis for the Chemical Sciences. VCH Publishers, Inc., New York 1993 (CS)
Billo E. J. : MS Excel for Chemists. John Wiley & Sons, Inc., New York 1997 (CS)
Green J. R., Margerison D. : Statistical treatment of experimental data. Elsevier Sci. Publ. Comp., Amsterodam 1978 (CS)