Czech

Not applicable.

Good knowledge of mathematics. Basic skills of work in excel. Ability to analyze and process chemical and biological results.

Conditions to obtain of classified credit:
Solve all the given test during semester.
At the end of the semester, full-time credit test for 50 points, minimum for success: 25 points.
Presentation of essential results from the statistical evaluation of a given research problem
During the semester, students will process applied tasks (full-time form in the seminars, combined form as correspondence tasks). Final exam will consist of credit test. Furhermore, befor the credit week, the student will be given a specific problem, which will have to be solved by using statistical procedures. Substantial results will be publicly presented to other students during the credit.

Students will get acquainted with basic and advanced statistical methods and their application in the evaluation of biological and chemical-analytical data in the course Biostatistics. The main mission of the course is to pass on knowledge about the method of elaboration of scientific studies with emphasis on the objective presentation of results and conclusions.
Results of the subject study will be:
a) theoretical knowledge of basic statistical apparatus for evaluation of results in chemical, biological and biochemical field,
b) the ability to apply statistical principles to solve practical problems,
c) skills to process data using advanced software Statistica,
d) gain of overview to apply bio-statistics outputs in other subjects of the discipline, science, research and work life,
e) competence to process the final student's work statistically correctly.

Not applicable.

Not applicable.

Doerffek K., Eckschlager K.: Optimální postup chemické analýzy, SNTL, Praha, Československo, 1988. (CS)
Lepš J., Šmilauer P.: Biostatistika. Nakladatelství Jihočeské univerzity, České Budějovice, Česká republika, 2016. (CS)
Meloun M., Militký J.: Statistická analýza experimentálních dat. Academia, Praha 2004. (CS)
Meloun M.: Počítačová analýza vícerozměrných dat, Academia, Praha, Česká republika, 2005. (CS)
Meloun M.: Statistická analýza vícerozměrnýcg dat v příkladech, Karolinium, Praha, Česká republika, 2017. (CS)

Not applicable.