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# Applied Mathematics and Biostatistics

## 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

### 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

#### 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

### Conditions for acceptance of the semester

Maximum of 25 % absence allowed

### Mid-term exams

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

None.

### Exam topics/questions

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

### Instructor / tutor of practices and seminars

• Dr. Bugyi Beáta
• Dr. Grama László