Course: Experiment Design and Data Evaluation

« Back
Course title Experiment Design and Data Evaluation
Course code TUTP/TWPE4
Organizational form of instruction no contact
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Buňková Leona, prof. RNDr. Ph.D.
Course content
- 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.

Learning activities and teaching methods
Methods for working with texts (Textbook, book), Individual work of students
  • Preparation for examination - 50 hours per semester
prerequisite
Knowledge
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
The student is able to express aims, methods of experiments, and treating of samples.
The student is able to express aims, methods of experiments, and treating of samples.
He/she knows analytical methods and is able to evaluate obtained data.
He/she knows analytical methods and is able to evaluate obtained data.
The student understands creating of conclusions and recommendations for next development of science and practice.
The student understands creating of conclusions and recommendations for next development of science and practice.
teaching methods
Individual work of students
Methods for working with texts (Textbook, book)
Methods for working with texts (Textbook, book)
Individual work of students
Skills
Individual work of students
Individual work of students
Practice exercises
Practice exercises
assessment methods
Knowledge
Background research
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)
Composite examination (Written part + oral part)
Background research
Recommended literature
  • Anděl, J. Statistické metody. Praha: matfyzpress, 2003. ISBN 80-86732-08-8.
  • Antoch, Jaromír. Vybrané metody statistické analýzy dat. 1. vyd. Praha : Academia, 1992. ISBN 8020002049.
  • Cox, D.R. Planning of Experiments. New York, 1992. ISBN 3-8055-7782-6.
  • Meloun, Milan. Statistická analýza experimentálních dat. Vyd. 2., upr. a rozš. Praha : Academia, 2004. ISBN 80-200-1254-0.
  • Wimmer, G. a kol. Spracovanie a vyhodnocovanie meraní. Bratislava, 2002. ISBN 80-224-0734-8.
  • Zichová, Jitka. Plánování experimentů a predikční vícerozměrná analýza. 1. vyd. Praha : Karolinum, 2007. ISBN 978-80-246-1407-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester