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Applied Mathematics and Biostatistics

Data

Official data in SubjectManager for the following academic year: 2026-2027

Course director

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 semester
Prerequisites:

-

Course headcount limitations

min. 1 – max. 999

Topic

Teaching the basics of math skills and techniques used in laboratory work and statistical analyses.

Lectures

  • 1.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 2. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 3.

    Concentrations

    - Takács-Kollár Veronika Tünde
  • 4.

    Dilutions

    - Hartvig Nóra
  • 5.

    Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation

    - Bódis Emőke
  • 6.

    Lab maths summary, test writing

    - Kovács Attila
  • 7. Descriptive statistics - Bukovics Péter
  • 8. Probability, distributions, normal distribution - Bukovics Péter
  • 9. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 10. Hypothesis testing: T test - Bukovics Péter
  • 11. Hypothesis testing: ANOVA - Bukovics Péter
  • 12. Correlation and regression analysis - Bukovics Péter
  • 13. Nonparametric statistics - Bukovics Péter
  • 14. Statistics summary, test writing - Bukovics Péter

Practices

Seminars

  • 1.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 2.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 3. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 4. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 5. Concentrations - Grama László
  • 6. Concentrations - Grama László
  • 7. Dilutions - Grama László
  • 8. Dilutions - Grama László
  • 9. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Grama László
  • 10. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Grama László
  • 11. Lab maths summary, test writing - Grama László
  • 12. Lab maths summary, test writing - Grama László
  • 13. Descriptive statistics - Bukovics Péter
  • 14. Descriptive statistics - Bukovics Péter
  • 15. Probability, distributions, normal distribution - Bukovics Péter
  • 16. Probability, distributions, normal distribution - Bukovics Péter
  • 17. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 18. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 19. Hypothesis testing: T test - Bukovics Péter
  • 20. Hypothesis testing: T test - Bukovics Péter
  • 21. Hypothesis testing: ANOVA - Bukovics Péter
  • 22. Hypothesis testing: ANOVA - Bukovics Péter
  • 23. Correlation and regression analysis - Bukovics Péter
  • 24. Correlation and regression analysis - Bukovics Péter
  • 25. Nonparametric statistics - Bukovics Péter
  • 26. Nonparametric statistics - Bukovics Péter
  • 27. Statistics summary, test writing - Bukovics Péter
  • 28. Statistics summary, test writing - Bukovics Péter

Reading material

Obligatory literature

Literature developed by the Department

Will be published on Teams, Moodle and PotePedia.

Notes

Recommended literature

Conditions for acceptance of the semester

None

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 the tests.

Making up for missed classes

None

Exam topics/questions

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

Examiners

Instructor / tutor of practices and seminars

  • Bukovics Péter
  • Grama László
  • Kovács Attila
  • Varnyuné Kis-Bicskei Nikolett
Rólunk