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Lecturer(s)
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Buňková Leona, prof. RNDr. Ph.D.
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Course content
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- The purpose and aim of experiments. - Hypothesis and relevance. - Specific in study in food chain area, repeatability and reproducibility of results. - Descriptive and comparative study. - Design of experiment. - Basic statistical metods. - Parametric and non-parametric methods. - Special results. - Correlation and Covariation. - Linear regress models. - Non-linear regress models. - Multivariate metods. - Cluster analysis. - Graphs, Conclusion.
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Learning activities and teaching methods
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Methods for working with texts (Textbook, book), Individual work of students
- Preparation for examination
- 50 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge of organic, inorganic chemistry and biochemistry, mathematical-statistical methods and active language knowledge. |
| Knowledge of organic, inorganic chemistry and biochemistry, mathematical-statistical methods and active language knowledge. |
| learning outcomes |
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| Describe the aims of the dissertation experiments |
| Describe the aims of the dissertation experiments |
| Describe the methodological approaches to experiments and sample processing |
| Describe the methodological approaches to experiments and sample processing |
| Know the methods of food analysis |
| Know the methods of food analysis |
| Describe methods of statistical analysis of results |
| Describe methods of statistical analysis of results |
| Skills |
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| Design and apply appropriate procedures for the analysis of food samples |
| Design and apply appropriate procedures for the analysis of food samples |
| Critically assess and evaluate the experimental results obtained and interpret them |
| Critically assess and evaluate the experimental results obtained and interpret them |
| Apply appropriate methods of statistical analysis in the evaluation of results |
| Apply appropriate methods of statistical analysis in the evaluation of results |
| Form conclusions and recommendations for the further development of science and practice |
| Form conclusions and recommendations for the further development of science and practice |
| teaching methods |
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| Knowledge |
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| Methods for working with texts (Textbook, book) |
| Individual work of students |
| Individual work of students |
| Methods for working with texts (Textbook, book) |
| Skills |
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| Individual work of students |
| Individual work of students |
| Practice exercises |
| Practice exercises |
| assessment methods |
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| Knowledge |
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| Background research |
| Background research |
| Composite examination (Written part + oral part) |
| Analysis of the student's performance |
| Analysis of the student's performance |
| Preparation of a presentation, giving a presentation |
| Preparation of a presentation, giving a presentation |
| Composite examination (Written part + oral part) |
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Recommended literature
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Anděl, J. Statistické metody. Praha: matfyzpress, 2003. ISBN 80-86732-08-8.
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Antoch, Jaromír. Vybrané metody statistické analýzy dat. 1. vyd. Praha : Academia, 1992. ISBN 8020002049.
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Cox, D.R. Planning of Experiments. New York, 1992. ISBN 3-8055-7782-6.
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Meloun, Milan. Statistická analýza experimentálních dat. Vyd. 2., upr. a rozš. Praha : Academia, 2004. ISBN 80-200-1254-0.
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Wimmer, G. a kol. Spracovanie a vyhodnocovanie meraní. Bratislava, 2002. ISBN 80-224-0734-8.
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Zichová, Jitka. Plánování experimentů a predikční vícerozměrná analýza. 1. vyd. Praha : Karolinum, 2007. ISBN 978-80-246-1407-6.
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