Biomathematics 2 - Theory

Data

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

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 - Dr. Bugyi Beáta
  • 6. Probability, probability distributions - Dr. Bugyi Beáta
  • 7. Normal, standard normal distribution - Dr. Bugyi Beáta
  • 8. Normal, standard normal distribution - Dr. Bugyi Beáta
  • 9. Hypothesis testing - Dr. Bugyi Beáta
  • 10. Hypothesis testing - Dr. Bugyi Beáta
  • 11. Hypothesis testing: z test - Karádi Kristóf Kálmán
  • 12. Hypothesis testing: z test - Karádi Kristóf Kálmán
  • 13. Hypothesis testing: t test - Karádi Kristóf Kálmán
  • 14. Hypothesis testing: t test - Karádi Kristóf Kálmán
  • 15. Hypothesis testing: F test - Dr. Bugyi Beáta
  • 16. Hypothesis testing: F test - Dr. Bugyi Beáta
  • 17. Hypothesis testing: ANOVA - Dr. Bugyi Beáta
  • 18. Hypothesis testing: ANOVA - Dr. Bugyi Beáta
  • 19. Hypothesis testing: chi2 test - Dr. Bugyi Beáta
  • 20. Hypothesis testing: chi2 test - Dr. Bugyi Beáta
  • 21. Correlation analysis - Dr. Bugyi Beáta
  • 22. Correlation analysis - Dr. Bugyi Beáta
  • 23. Regression analysis - Dr. Bugyi Beáta
  • 24. Regression analysis - Dr. Bugyi Beáta
  • 25. Nonparametric tests - Dr. Bugyi Beáta
  • 26. Nonparametric tests - Dr. Bugyi Beáta
  • 27. Summary, revision - Dr. Bugyi Beáta
  • 28. Summary, revision - Dr. Bugyi Beáta

Practices

Seminars

Reading material

Obligatory literature

Literature developed by the Department

http://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 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.
The criterion of admission to the exam is the successful completion of the practice carried out in paralell (midsemester grade with the result different from failed (1)).

Examiners

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

Instructor / tutor of practices and seminars