C7872 Applied biostatistics

Faculty of Science
Autumn 2020
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Martin Mandl, CSc. (lecturer)
Guaranteed by
doc. Ing. Martin Mandl, CSc.
Department of Biochemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Biochemistry – Chemistry Section – Faculty of Science
Timetable
Thu 9:00–10:50 prace doma
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
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;
Syllabus
  • 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.
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
Teaching methods
Lectures based on a brief theory and practical procedures which are related to experiments in biochemistry, chemistry and biology.
Assessment methods
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
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://orion.chemi.muni.cz/biochem/student.htm
The course is also listed under the following terms Autumn 2019, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2020/C7872