Data
Official data in SubjectManager for the following academic year: 2024-2025
Course director
-
Grama László
associate professor,
Department of Biophysics -
Number of hours/semester
lectures: 14 hours
practices: 0 hours
seminars: 28 hours
total of: 42 hours
Subject data
- Code of subject: OBA-124-T
- 3 kredit
- Biotechnology MSc
- Basic modul
- autumn
Prerequisites:
-
Course headcount limitations
min. 5 – max. 200
Topic
Teaching the basics of math skills and techniques used in laboratory work and statistical analyses.
Lectures
- 1. Introduction. Math basics: powers, exponents, logarithms - Grama László
- 2. Physical quantities and units. Conversion of units - Varnyuné Kis-Bicskei Nikolett
- 3. Concentrations - Grama László
- 4. Dilutions - Grama László
- 5. Spectrophotometry, radioactive decay, bimolecular interactions, centrifugation - Grama László
- 6. Lab maths summary, test writing - Grama László
- 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
Practices
Seminars
- 1. Introduction. Math basics: powers, exponents, logarithms - Grama László
- 2. Introduction. Math basics: powers, exponents, logarithms - Grama László
- 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
Reading material
Obligatory literature
Literature developed by the Department
Will be published on Teams, Moodle and PotePedia.
Notes
Recommended literature
Conditions for acceptance of the semester
None
Mid-term exams
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.
Making up for missed classes
None
Exam topics/questions
Midterm tests and their retakes consist of problem solving and calculations from the main topics of the course.
Examiners
Instructor / tutor of practices and seminars
- Bukovics Péter
- Grama László
- Varnyuné Kis-Bicskei Nikolett