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Biomathematics 2 - Theory

Data

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

Course director

Number of hours/semester

lectures: 28 hours

practices: 0 hours

seminars: 0 hours

total of: 28 hours

Subject data

  • Code of subject: OPA-B2E-T
  • 2 kredit
  • Pharmacy
  • Basic modul
  • spring
Prerequisites:

OPA-B1E-T completed , OPA-B2G-T parallel

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

  • 1. Descriptive statistics 1: data, description of data - Dr. Bugyi Beáta
  • 2. Descriptive statistics 1: data, description of data - Dr. Bugyi Beáta
  • 3. Descriptive statistics 2: data presentation, graphs, charts - Dr. Bugyi Beáta
  • 4. Descriptive statistics 2: data presentation, graphs, charts - Dr. Bugyi Beáta
  • 5. Probability, probability distributions. Discrete random variable. Binomial distribution. - Dr. Bugyi Beáta
  • 6. Probability, probability distributions. Discrete random variable. Binomial distribution. - Dr. Bugyi Beáta
  • 7. Probability, probability distributions. Continuous random variable. Normal, standard normal distribution. - Dr. Bugyi Beáta
  • 8. Probability, probability distributions. Continuous random variable. Normal, standard normal distribution. - Dr. Bugyi Beáta
  • 9. Hypothesis testing - Dr. Bugyi Beáta
  • 10. Hypothesis testing - Dr. Bugyi Beáta
  • 11. Z test - Karádi Kristóf Kálmán
  • 12. Z test - Karádi Kristóf Kálmán
  • 13. T test - Karádi Kristóf Kálmán
  • 14. T test - Karádi Kristóf Kálmán
  • 15. F test, ANOVA - Dr. Bukovics Péter
  • 16. F test, ANOVA - Dr. Bukovics Péter
  • 17. CHI2 test - Dr. Bukovics Péter
  • 18. CHI2 test - Dr. Bukovics Péter
  • 19. Nonparametric tests - Dr. Bukovics Péter
  • 20. Nonparametric tests - Dr. Bukovics Péter
  • 21. Correlation analysis - Dr. Bukovics Péter
  • 22. Correlation analysis - Dr. Bukovics Péter
  • 23. Regression analysis - Dr. Bukovics Péter
  • 24. Regression analysis - Dr. Bukovics Péter
  • 25. Summary, revision 1 - Dr. Bugyi Beáta
  • 26. Summary, revision 1 - Dr. Bugyi Beáta
  • 27. Summary, revision 2 - Dr. Bugyi Beáta
  • 28. Summary, revision 2 - Dr. Bugyi Beáta

Practices

Seminars

Reading material

Obligatory literature

Literature developed by the Department

http://www.biofizika.aok.pte.hu/tantargy/Biomathematics_2

Notes

József Belágyi: Medical Biometry, textbook

Recommended literature

Conditions for acceptance of the semester

Maximum of 15 % absence allowed

Mid-term exams

Two tests during the semester.

Making up for missed classes

Discussed with the course leader.

Exam topics/questions

Exam questions:
http://www.biofizika.aok.pte.hu/tantargy/Biomathematics_2

The exam consists of problem-solving related to the topics of lectures and practices, using tables and making graphs using computers. The criterion of admission to the exam is the successful completion of the practice carried out in parallel (midsemester grade with the result different from failed (1)).

Examiners

  • Dr. Bugyi Beáta
  • Dr. Bukovics Péter
  • Kilián Balázsné Raics Katalin
  • Tempfliné Pirisi Katalin Erzsébet

Instructor / tutor of practices and seminars

Rólunk