C7872en Applied biostatistics

Faculty of Science
Spring 2026

The course is not taught in Spring 2026

Extent and Intensity
2/0/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Mgr. Kateřina Dadáková, Ph.D. (lecturer)
doc. Ing. Martin Mandl, CSc. (lecturer)
Guaranteed by
Mgr. Kateřina Dadáková, Ph.D.
Department of Biochemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Biochemistry – Chemistry Section – Faculty of Science
Prerequisites (in Czech)
M1031 Introduction to Mathematics and Statistics
Course Enrolment Limitations
The course is offered to students of any study field.
Abstract
At the end of the course students should understand the application of selected statistical methods in the evaluation of data in life sciences since the content of the lecture includes - evaluation of experimental results and methods, errors in data and calculations, significance testing for quantitative and qualitative data, and the use of regression and correlation analysis. The applications are focused especially on (bio)chemistry, microbiology and biotechnology.Examples of solutions to practical problems in biotechnology and biochemistry will be presented on selected solved examples.
Learning outcomes
Student will be able:
-to understand basic statistical tests in the literature;
-to evaluate common statistical data in life sciences and biotechnology;
- to apply standard regression and correlation analysis to bioprocesses;
Key topics
  • Application of statistical methods in evaluation of experimental data in (bio)chemistry, biotechnology and microbiology.
  • Statistical characteristics, types of distribution.
  • Confidence intervals, null and alternative hypotheses, testing the significance of data.
  • Elimination of systematic errors in parallel data. The use of Poisson distribution for the testing of microbiological data.
  • Testing qualitative data, efficiency determination of bioactive substances.
  • Linear regression, a simple linearity test.
  • Correlation analysis.
  • Linear regression in the calibration of methods and analysis error calculation.
  • Impact of result variability on calculation of the determination limit.
  • Non-linear regression and its application in bioprocess models.
  • Testing linear and non-linear models in biotechnology, mikrobiology, physiology and biochemistry.
Study resources and literature
  • MICHÁLEK, Jaroslav. Biometrika. 1. vyd. Praha: Státní pedagogické nakladatelství, 1982, 404 s. info
  • ECKSCHLAGER, Karel; Ivan HORSÁK and Zdeněk KODEJŠ. Vyhodnocování analytických výsledků a metod. 1. vyd. Praha: Státní nakladatelství technické literatury, 1980, 223 s. URL info
  • MURRAY, John. Statistics. 1st ed. London: R.C. Solomon, 1996, xi, 369 s. ISBN 0-7195-7088-3. info
  • DORAN, Pauline M. Bioprocess engineering principles. London: Academic Press, 1995, xiv, 439 s. ISBN 0-12-220856-0. info
Approaches, practices, and methods used in teaching
Lectures based on a brief theory and practical procedures which are related to experiments in biochemistry, chemistry and biology.
Method of verifying learning outcomes and course completion requirements
Exam is based on a written test using books or lecture materials. The aim is solution of statistical examples and considerations. Fifty % of correct answers is required.
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught every week.
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