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Biomathematics 2 - Practice

Data

Official data in SubjectManager for the following academic year: 2019-2020

Course director

Number of hours/semester

lectures: 0 hours

practices: 28 hours

seminars: 0 hours

total of: 28 hours

Subject data

  • Code of subject: OPA-B2G-T
  • 2 kredit
  • Pharmacy
  • Basic modul
  • spring
Prerequisites:

OPA-B1E-T completed

Exam course:

no

Course headcount limitations

min. 1

Topic

Basic data handling and computer use. Exploring data by graphical and numerical characterisation. Basic concepts of probability and statistical inference. The basic methods for statistical inference most frequently used in medicine.

Lectures

Practices

  • 1. Descriptive statistics 1: data, description of data
  • 2. Descriptive statistics 1: data, description of data
  • 3. Descriptive statistics 2: data presentation, graphs, charts
  • 4. Descriptive statistics 2: data presentation, graphs, charts
  • 5. Probability, probability distributions
  • 6. Probability, probability distributions
  • 7. Normal, standard normal distribution
  • 8. Normal, standard normal distribution
  • 9. Hypothesis testing
  • 10. Hypothesis testing
  • 11. Hypothesis testing: z test
  • 12. Hypothesis testing: z test
  • 13. Hypothesis testing: t test
  • 14. Hypothesis testing: t test
  • 15. Hypothesis testing: F test
  • 16. Hypothesis testing: F test
  • 17. Hypothesis testing: ANOVA
  • 18. Hypothesis testing: ANOVA
  • 19. Hypothesis testing: chi2 test
  • 20. Hypothesis testing: chi2 test
  • 21. Correlation analysis
  • 22. Correlation analysis
  • 23. Regression analysis
  • 24. Regression analysis
  • 25. Nonparametric tests
  • 26. Nonparametric tests
  • 27. Summary, revision
  • 28. Summary, revision

Seminars

Reading material

Obligatory literature

Literature developed by the Department

biofizika.aok.pte.hu

Notes

József Belágyi: Medical Biometry, textbook

Recommended literature

Conditions for acceptance of the semester

Maximum of 25 % absence allowed

Mid-term exams

Two tests and 10 seminar tests during the semester.

Making up for missed classes

Discussed with the course leader.

Exam topics/questions

The exam consists of problem solving related to the topics of lectures and practices, using tables and making graphs using computers.

Examiners

Instructor / tutor of practices and seminars

  • Dr. Bugyi Beáta
  • Dr. Huber Tamás
  • Karádi Kristóf Kálmán
  • Tempfliné Pirisi Katalin Erzsébet
Rólunk