 # Applied Mathematics and Biostatistics

## Data

Official data in SubjectManager for the following academic year: 2022-2023

### Course director

• #### Dr. László GRAMA

associate professor,
Department of Biophysics

### Number of hours/semester

lectures: 14 hours

practices: 0 hours

seminars: 28 hours

total of: 42 hours

### Subject data

• Code of subject: OBA-124-T
• 3 kredit
• Biotechnology MSc
• Basic modul
• autumn
Prerequisites:

-

Exam course:

no

min. 1 – max. 200

## 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. Physical quantities and units. Conversion of units - Dr. Grama László
• 3. Concentrations - Dr. Grama László
• 4. Dilutions - Dr. Grama László
• 5. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Dr. Grama László
• 6. Lab maths summary, test writing - 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. Physical quantities and units. Conversion of units
• 4. Physical quantities and units. Conversion of units
• 5. Concentrations
• 6. Concentrations
• 7. Dilutions
• 8. Dilutions
• 9. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation
• 10. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation
• 11. Lab maths summary, test writing
• 12. Lab maths summary, test writing
• 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

### Literature developed by the Department

Will be published on Teams, Moodle or PotePedia.

## Conditions for acceptance of the semester

Maximum of 25 % absence allowed

## Mid-term exams

Students will write 2 midterm tests from the 2 major sections of the material: lab maths and statistics. Two retake opportunities will be provided to those who do not pass these tests.

None.

## Exam topics/questions

Midterm tests and their retakes consist of problem solving and calculations from the main topics of the course.

## Instructor / tutor of practices and seminars

• Dr. Bugyi Beáta
• Dr. Grama László