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Ausbildung

Applied Mathematics and Biostatistics

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2026-2027

Lehrbeauftragte/r

Semesterwochenstunden

Vorlesungen: 14

Praktika: 0

Seminare: 28

Insgesamt: 42

Fachangaben

  • Kode des Kurses: OBA-124-T
  • 3 kredit
  • Biotechnology MSc
  • Basic modul
  • autumn semester
Voraussetzungen:

keine

Zahl der Kursteilnehmer für den Kurs:

min. 1 – max. 999

Thematik

Teaching the basics of math skills and techniques used in laboratory work and statistical analyses.

Vorlesungen

  • 1.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 2. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 3.

    Concentrations

    - Takács-Kollár Veronika Tünde
  • 4.

    Dilutions

    - Hartvig Nóra
  • 5.

    Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation

    - Bódis Emőke
  • 6.

    Lab maths summary, test writing

    - Kovács Attila
  • 7. Descriptive statistics - Bukovics Péter
  • 8. Probability, distributions, normal distribution - Bukovics Péter
  • 9. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 10. Hypothesis testing: T test - Bukovics Péter
  • 11. Hypothesis testing: ANOVA - Bukovics Péter
  • 12. Correlation and regression analysis - Bukovics Péter
  • 13. Nonparametric statistics - Bukovics Péter
  • 14. Statistics summary, test writing - Bukovics Péter

Praktika

Seminare

  • 1.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 2.

    Introduction. Math basics: powers, exponents, logarithms

    - Kovács Attila
  • 3. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 4. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
  • 5. Concentrations - Grama László
  • 6. Concentrations - Grama László
  • 7. Dilutions - Grama László
  • 8. Dilutions - Grama László
  • 9. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Grama László
  • 10. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Grama László
  • 11. Lab maths summary, test writing - Grama László
  • 12. Lab maths summary, test writing - Grama László
  • 13. Descriptive statistics - Bukovics Péter
  • 14. Descriptive statistics - Bukovics Péter
  • 15. Probability, distributions, normal distribution - Bukovics Péter
  • 16. Probability, distributions, normal distribution - Bukovics Péter
  • 17. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 18. Hypothesis testing: introduction, Z test - Bukovics Péter
  • 19. Hypothesis testing: T test - Bukovics Péter
  • 20. Hypothesis testing: T test - Bukovics Péter
  • 21. Hypothesis testing: ANOVA - Bukovics Péter
  • 22. Hypothesis testing: ANOVA - Bukovics Péter
  • 23. Correlation and regression analysis - Bukovics Péter
  • 24. Correlation and regression analysis - Bukovics Péter
  • 25. Nonparametric statistics - Bukovics Péter
  • 26. Nonparametric statistics - Bukovics Péter
  • 27. Statistics summary, test writing - Bukovics Péter
  • 28. Statistics summary, test writing - Bukovics Péter

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Will be published on Teams, Moodle and PotePedia.

Skript

Empfohlene Literatur

Voraussetzung zum Absolvieren des Semesters

None

Semesteranforderungen

Students will write 2 midterm tests from the 2 major sections of the material: lab maths and statistics. Two retake opportunities will be provided to those who do not pass the tests.

Möglichkeiten zur Nachholung der Fehlzeiten

None

Prüfungsfragen

Midterm tests and their retakes consist of problem solving and calculations from the main topics of the course.

Prüfer

Praktika, Seminarleiter/innen

  • Bukovics Péter
  • Grama László
  • Kovács Attila
  • Varnyuné Kis-Bicskei Nikolett
Rólunk