Biomathematics 2 - Theory

Adatok

A Tantárgybejelentőben megadott hivatalos adatok az alábbi tanévre: 2024-2025

Tematika

Basic terms and concepts of statistics and their use in solving physical, chemical and biological problems. handling and computer use. The main topics included: descriptive and inferential statistics, exploring data by graphical and numerical means, basic methods for statistical inference.

Előadások

• 1.

  An introduction: statistics and the biological sciences. The applied models. Planning and carrying out an experiment. Data analysis, frequency distributions and histogram.

  - Bódis Emőke
• 2.

  An introduction: statistics and the biological sciences. The applied models. Planning and carrying out an experiment. Data analysis, frequency distributions and histogram.

  - Bódis Emőke
• 3.

  The characteristics of population and sample: mean, dispersion and standard error. The elements of standard error calculation. Probability and probability distribution.

  - Bódis Emőke
• 4.

  The characteristics of population and sample: mean, dispersion and standard error. The elements of standard error calculation. Probability and probability distribution.

  - Bódis Emőke
• 5.

  Continuous probability distributions. Normal and lognormal distribution

  - Trombitás Norbert
• 6.

  Continuous probability distributions. Normal and lognormal distributiontromb

  - Trombitás Norbert
• 7.

  STATISTICAL HYPOTHESIS TESTING: Hypothesis testing: the sign test

  - Karádi Kristóf Kálmán
• 8.

  STATISTICAL HYPOTHESIS TESTING: Hypothesis testing: the sign test

  - Karádi Kristóf Kálmán
• 9.

  Hypothesis testing: the u-test

  - Karádi Kristóf Kálmán
• 10.

  Hypothesis testing: the u-test

  - Karádi Kristóf Kálmán
• 11.

  Analysis of the means with t-test

  - Karádi Kristóf Kálmán
• 12.

  Analysis of the means with t-test

  - Karádi Kristóf Kálmán
• 13. T test - Karádi Kristóf Kálmán
• 14. T test - Karádi Kristóf Kálmán
• 15.

  Nonparametric methods: Wilcoxon test, Mann-Whitney U test

  - Bukovics Péter
• 16.

  Nonparametric methods: Wilcoxon test, Mann-Whitney U test

  - Bukovics Péter
• 17.

  The chi-square test and its applications: goodness of fit test and test for independence

  - Bukovics Péter
• 18.

  The chi-square test and its applications: goodness of fit test and test for independence

  - Bukovics Péter
• 19.

  Analysis of variance

  - Bukovics Péter
• 20.

  Analysis of variance

  - Bukovics Péter
• 21.

  Regression analysis. Least squares principle

  - Csepregi Kristóf
• 22.

  Regression analysis. Least squares principle

  - Csepregi Kristóf
• 23.

  Correlation analysis. Rank correlation

  - Csepregi Kristóf
• 24.

  Correlation analysis. Rank correlation

  - Csepregi Kristóf
• 25.

  Consultation.

  - Bódis Emőke
• 26.

  Consultation.

  - Bódis Emőke
• 27.

  Test.

  - Karádi Kristóf Kálmán
• 28.

  Test.

  - Karádi Kristóf Kálmán

Gyakorlatok

Szemináriumok

A tananyag elsajátításához szükséges segédanyagok

Kötelező irodalom

Saját oktatási anyag

Homepage of the Department of Biophysics:

https://aok.pte.hu/en/egyseg/10/oktatasi-anyagok

Jegyzet

Ajánlott irodalom

A félév elfogadásának feltételei

nincs

Félévközi ellenőrzések

Two written tests are scheduled during the semester covering the topics/calculations/etc discussed during the lectures. The expected dates: 7th week, 14th week. Based on the average of the two grades obtained for the tests a theory grade is recommended.

Grading policy: < 60% fail (1), 60 – 69% satisfactory (2), 70 – 79% average (3), 80 – 89% good (4), > 90% excellent (5)

To pass, at least 60% has to be reached at each test.

If the recommended theory grade is accepted that will be the final grade.

In other cases, the theory grade may be obtained during the exams announced in the exam period.

Távolmaradás pótlásának lehetőségei

Maximum 3 absences are allowed. The opportunity to make up for absence is not provided.

Vizsgakérdések

The prerequisite for registering for the theory exam (also for the acceptance of the recommended theory grade) is the passing of the practical test and getting practical grade (> 2).

The theory grade is obtained based on the result of the written exam.

Grading policy: < 60% fail (1), 60 – 69% satisfactory (2), 70 – 79% average (3), 80 – 89% good (4), > 90% excellent (5)

Topics of the exam questions:

Descriptive statistics; describing data, generating and evaluating data display

Probability, random variable, probability distributions

Principles of hypothesis testing

Parametric and nonparametric tests

Correlation and regression analysis

Vizsgáztatók

• Bódis Emőke
• Bukovics Péter
• Csepregi Kristóf
• Karádi Kristóf Kálmán
• Trombitás Norbert

Gyakorlatok, szemináriumok oktatói