C7870 Biometrics

Faculty of Science
autumn 2017
Extent and Intensity
2/0/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Alternate Types of Completion: k (colloquium).
Teacher(s)
doc. Ing. Martin Mandl, CSc. (lecturer)
Supervisor
doc. Ing. Martin Mandl, CSc.
Department of Biochemistry - Chemistry Section - Faculty of Science
Supplier department: Department of Biochemistry - Chemistry Section - Faculty of Science
Timetable
Mon 18. 9. to Fri 15. 12. Thu 9:00–10:50 A11/205
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 the course is directly associated with
there are 23 fields of study the course is directly associated with, display
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.
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.
  • Impact of result variability on determination of parameters of selected processes in biochemistry, physiology and biotechnology.
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. + l. 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 can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://orion.chemi.muni.cz/biochem/student.htm
Absolvent kursu získá znalosti a podklady pro vyhodnocování vlastních experimentálních údajů. Pro použití počítače je v kursu věnována pozornost na osvojení si principů správné počítačové aplikace daných statistických metod na vybraný okruh experimentálních problematik.
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 1999, Autumn 2010 - only for the accreditation, Autumn 2000, Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2017/C7870

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