Hauptseite
Ausbildung

Applied Mathematics and Biostatistics

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2022-2023

Lehrbeauftragte/r

Semesterwochenstunden

Vorlesungen: 14

Praktika: 0

Seminare: 28

Insgesamt: 42

Fachangaben

  • Kode des Kurses: OBA-103-T
  • 2 kredit
  • Biotechnology MSc
  • Basic modul
  • autumn
Voraussetzungen:

keine

Zahl der Kursteilnehmer für den Kurs:

min. 1 – max. 200

Thematik

Teaching the basics of math skills and techniques used in the laboratory work as well as statistical methods.

Vorlesungen

  • 1. Introduction. Math basics: powers, exponents, logarithms - Dr. Grama László
  • 2. Physical quantities and units. Conversion of units - Dr. Grama László
  • 3. Concentrations - Dr. Grama László
  • 4. Dilutions - Dr. Grama László
  • 5. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Dr. Grama László
  • 6. Lab maths summary, test writing - Dr. Grama László
  • 7. Descriptive statistics 1: measures of the center and the spread of the data - Dr. Bugyi Beáta
  • 8. Descriptive statistics 2: data representation, box-whisker plots, histograms - Dr. Bugyi Beáta
  • 9. Normal distribution, hypothesis testing - Dr. Bugyi Beáta
  • 10. Hypothesis testing: Z test, t test - Dr. Bugyi Beáta
  • 11. Hypothesis testing: ANOVA - Dr. Bugyi Beáta
  • 12. Hypothesis testing: KHI2 test - Dr. Bugyi Beáta
  • 13. Test writing, Correlation, regression 1 - Dr. Bugyi Beáta
  • 14. Correlation, regresion 2 - Dr. Bugyi Beáta

Praktika

Seminare

  • 1. Introduction. Math basics: powers, exponents, logarithms
  • 2. Introduction. Math basics: powers, exponents, logarithms
  • 3. Physical quantities and units. Conversion of units
  • 4. Physical quantities and units. Conversion of units
  • 5. Concentrations
  • 6. Concentrations
  • 7. Dilutions
  • 8. Dilutions
  • 9. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation
  • 10. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation
  • 11. Lab maths summary, test writing
  • 12. Lab maths summary, test writing
  • 13. Descriptive statistics 1: measures of the center and the spread of the data
  • 14. Descriptive statistics 1: measures of the center and the spread of the data
  • 15. Descriptive statistics 2: data representation, box-whisker plots, histograms
  • 16. Descriptive statistics 2: data representation, box-whisker plots, histograms
  • 17. Normal distribution, hypothesis testing
  • 18. Normal distribution, hypothesis testing
  • 19. Hypothesis testing: Z test, t test
  • 20. Hypothesis testing: Z test, t test
  • 21. Hypothesis testing: ANOVA
  • 22. Hypothesis testing: ANOVA
  • 23. Hypothesis testing: KHI2 test
  • 24. Hypothesis testing: KHI2 test
  • 25. Test writing, Correlation, regression 1
  • 26. Test writing, Correlation, regression 1
  • 27. Correlation, regresion 2
  • 28. Correlation, regresion 2

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Will be published on Teams, Moodle or PotePedia.

Skript

Empfohlene Literatur

Voraussetzung zum Absolvieren des Semesters

Maximum of 25 % absence allowed

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 these 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

  • Dr. Bugyi Beáta
  • Dr. Grama László
Rólunk