PřF:C7870 Biometrics - Course Information
C7870 Biometrics
Faculty of ScienceAutumn 2006
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- Teacher(s)
- doc. Ing. Martin Mandl, CSc. (lecturer)
- Guaranteed by
- doc. Ing. Martin Mandl, CSc.
Department of Biochemistry – Chemistry Section – Faculty of Science - Timetable
- Tue 12:00–13:50 C04/211
- 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
- Analytical Biochemistry (Eng.) (programme PřF, N-BCH)
- Analytical Biochemistry (programme PřF, N-BCH)
- Analytical Chemistry (programme PřF, D-CH) (2)
- Analytical Chemistry (programme PřF, M-CH)
- Inorganic Chemistry (programme PřF, D-CH) (2)
- Inorganic Chemistry (programme PřF, M-CH)
- Biochemistry (programme PřF, M-CH)
- Biochemistry (programme PřF, N-CH)
- Physical Chemistry (programme PřF, D-CH) (2)
- Physical Chemistry (programme PřF, M-CH)
- Macromolecular Chemistry (programme PřF, D-CH) (2)
- Chemistry (programme PřF, M-CH)
- Environmental Chemistry (programme PřF, D-CH) (2)
- Environmental Chemistry (programme PřF, M-CH)
- Macromolecular Chemistry (programme PřF, M-CH)
- Organic Chemistry (programme PřF, D-CH) (2)
- Organic Chemistry (programme PřF, M-CH)
- Course objectives
- The goals of the lecture are to understand the application of selected statistical methods in the evaluation of data in life sciences. The content of the lecture includes evaluation of experimantal 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.
- 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 aletrnative 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.
- Impact of variability of kinetic data on determination of parameters of some processes in biochemistry, physiology and biotechnology.
- Variability in evaluation of the cell growth and metabolite pruduction.
- 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
- Assessment methods (in Czech)
- Závěrečné hodnocení je písemné, založené na vyhodnocení praktických příkladů za použití materiálů z přednášky.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually. - Teacher's information
- http://orion.chemi.muni.cz/biochem/student.htm
- Enrolment Statistics (Autumn 2006, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2006/C7870