Biomathematics 2 - Theory

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025

Thematik

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.

Vorlesungen

• 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

Praktika

Seminare

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Homepage of the Department of Biophysics:

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

Skript

Empfohlene Literatur

Voraussetzung zum Absolvieren des Semesters

nincs

Semesteranforderungen

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.

Möglichkeiten zur Nachholung der Fehlzeiten

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

Prüfungsfragen

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

Prüfer

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

Praktika, Seminarleiter/innen