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Applied Mathematics and Biostatistics

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Data

Official data in SubjectManager for the following academic year: 2020-2021

Course director

Dr. László GRAMA (laszlo.grama@aok.pte.hu), associate professor

Department of Biophysics

Subject data

Code of subject: OBA-124-T  |  3 credit  |  Biotechnology |  Basic module  |  autumn

Prerequisites: -

Number of hours/semester

14 lectures + 0 practices + 28 seminars = total of 42 hours

Course headcount limitations

min. 1 – max. 200 person

Topic

Teaching the basics of math skills and techniques used in the laboratory work as well as statistical methods.

Lectures

  • 1. Introduction. Math basics: powers, exponents, logarithms - Dr. Grama László
  • 2. Lab maths: physical quantities and units - Dr. Grama László
  • 3. Lab maths: concentrations - Dr. Grama László
  • 4. Lab maths: dilutions - Dr. Grama László
  • 5. Lab maths: miscellaneous - Dr. Grama László
  • 6. Lab maths: miscellaneous - Dr. Grama László
  • 7. Descriptive statistics 1: measures of the center and the spread of the data - Dr. Bugyi Beáta
  • 8. Descriptive statistics 2: data representation, box-whisker plots, histograms - Dr. Bugyi Beáta
  • 9. Normal distribution, hypothesis testing - Dr. Bugyi Beáta
  • 10. Hypothesis testing: Z test, t test - Dr. Bugyi Beáta
  • 11. Hypothesis testing: ANOVA - Dr. Bugyi Beáta
  • 12. Hypothesis testing: KHI2 test - Dr. Bugyi Beáta
  • 13. Test writing, Correlation, regression 1 - Dr. Bugyi Beáta
  • 14. Correlation, regresion 2 - Dr. Bugyi Beáta

Practices

Seminars

  • 1. Introduction. Math basics: powers, exponents, logarithms
  • 2. Introduction. Math basics: powers, exponents, logarithms
  • 3. Lab maths: physical quantities and units
  • 4. Lab maths: physical quantities and units
  • 5. Lab maths: concentrations
  • 6. Lab maths: concentrations
  • 7. Lab maths: dilutions
  • 8. Lab maths: dilutions
  • 9. Lab maths: miscellaneous
  • 10. Lab maths: miscellaneous
  • 11. Lab maths: miscellaneous
  • 12. Lab maths: miscellaneous
  • 13. Descriptive statistics 1: measures of the center and the spread of the data
  • 14. Descriptive statistics 1: measures of the center and the spread of the data
  • 15. Descriptive statistics 2: data representation, box-whisker plots, histograms
  • 16. Descriptive statistics 2: data representation, box-whisker plots, histograms
  • 17. Normal distribution, hypothesis testing
  • 18. Normal distribution, hypothesis testing
  • 19. Hypothesis testing: Z test, t test
  • 20. Hypothesis testing: Z test, t test
  • 21. Hypothesis testing: ANOVA
  • 22. Hypothesis testing: ANOVA
  • 23. Hypothesis testing: KHI2 test
  • 24. Hypothesis testing: KHI2 test
  • 25. Test writing, Correlation, regression 1
  • 26. Test writing, Correlation, regression 1
  • 27. Correlation, regresion 2
  • 28. Correlation, regresion 2

Reading material

Obligatory literature

May be found at: biofizika.aok.pte.hu

Literature developed by the Department

May be found at: biofizika.aok.pte.hu

Notes

May be found at: biofizika.aok.pte.hu

Recommended literature

Conditions for acceptance of the semester

Maximum of 25 % absence allowed

Mid-term exams

May be found at: biofizika.aok.pte.hu

Making up for missed classes

None.

Exam topics/questions

May be found at: biofizika.aok.pte.hu

Examiners

Instructor / tutor of practices and seminars

  • Dr. Bugyi Beáta
  • Dr. Grama László