301350 VO Quantitative methods in molekularbiology (2024W)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
jeweils Di. 13.00 - 15.00 Uhr
HS A/B, VBC 5, 1030 Wien
- Tuesday 01.10. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 08.10. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 15.10. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 22.10. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 29.10. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 05.11. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 12.11. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 19.11. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 26.11. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 03.12. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 10.12. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- N Tuesday 17.12. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 07.01. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 14.01. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 21.01. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
- Tuesday 28.01. 13:00 - 15:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
Information
Aims, contents and method of the course
The main purpose of this course is to show you that there is no reason to be afraid of mathematics. We will explore how to apply mathematical and statistical methods to answer biological questions. We will discover the intuition behind these methodologies, focusing more on the "why?" rather than on the "how?"We will start with the foundations of probability theory and then move on to applied biostatistics, with an emphasis on hypothesis testing and linear models. We will also address basic techniques in modelling biological phenomena such as enzyme regulation.After the course you will be able to apply statistical methods properly to analyse raw data in a variety of experimental situations.It is recommended to take the accompanying lab exercises 301351-1 UE as well.
Assessment and permitted materials
Dates of written exam:
February 2025, Date/Location TBA
February 2025, Date/Location TBA
Minimum requirements and assessment criteria
Participants will be able to investigate biological questions using molecular biologic data sets using basic mathematical models and statistical methods.Evaluation scale of written exam:
<50%: 5
<62.5%: 4
<75%: 3
<87.5%: 2
>=87.5%: 1
<50%: 5
<62.5%: 4
<75%: 3
<87.5%: 2
>=87.5%: 1
Examination topics
Presentation and discussion of selected topics. Lecture and course materials in English. Discussions in German are possible.
Reading list
Will be provided during the lecture on the e-learning platform. Additional reference textbooks:- Venables, W.N. and Ripley, B.D.: Modern Applied Statistics with S-Plus. Springer, 1994.
- Hastie, T., Tibshirani, R. and Friedman, J.: The Elements of Statistical Learning, 2nd ed. Springer, 2009.
- Crawley, M. J.: The R Book, 2nd ed. John Wiley & Sons, 2013.
- Hastie, T., Tibshirani, R. and Friedman, J.: The Elements of Statistical Learning, 2nd ed. Springer, 2009.
- Crawley, M. J.: The R Book, 2nd ed. John Wiley & Sons, 2013.
Association in the course directory
BMB 8
Last modified: Th 10.10.2024 16:26