301400 VU Fundamentals of Quantitative Biology (2025S)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 06.02.2025 14:00 to Th 20.02.2025 18:00
- Deregistration possible until Th 20.02.2025 18:00
Details
max. 70 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The first lecture will be in person on April 28th, 8am-10am, lecture hall 3 in the University of Vienna Biology Building.
Friday, June 13th, 3pm - 4:30pm, lecture hall 1 in the University of Vienna Biology Building
Friday, June 27th, 1:15pm - 2:45pm, lecture hall 3 in the University of Vienna Biology BuildingMonday, 28.04
Wednesday, 30.04
Friday, 02.05Monday, 05.05
Wednesday, 07.05
Friday, 09.05Monday, 12.05
Wednesday, 14.05
Friday, 16.05Monday, 19.05
Wednesday, 21.05
Friday, 23.05Monday, 26.05
Wednesday, 28.05
Friday, 30.05Monday, 02.06
Wednesday, 04.06
Friday, 06.06Friday, 13.06, Exam option 1
Friday, 27.06, Exam option 2
- Monday 28.04. 08:00 - 11:15 Hörsaal 3, Biologie Djerassiplatz 1, 0.005, Ebene 0
Information
Aims, contents and method of the course
Our understanding of fundamental biological processes at the molecular level is becoming progressively quantitative. We can measure with an ever increasing precision the concentrations, lifetimes and energy levels of different molecular players and assess with an ever increasing certainty their cellular locations, molecular partners and functional roles. As a consequence, quantitative approaches have become an indispensable part of modern molecular biology toolkit, with computational modeling and statistical analysis playing a central role. This course aims to develop an in-depth knowledge of the quantitative aspects of molecular processes in biology, the ways to study such processes using analytical and computational models, and the fundamentals of statistical data analysis from both theoretical and practical perspectives. As a means of integrating these three areas, developed and presented in a series of theoretical lectures, the students will learn the elements of Python programming in a set of practical exercises of increasing complexity, which will also enable them to read, critically understand, and modify complex, advanced programs and pipelines as necessary.
Assessment and permitted materials
series of on-site lectures and practical computational exercises.
Minimum requirements and assessment criteria
Final written, closed-book exam (35%); solved exercises (65%).
1 (Sehr Gut): 90 -100%
2 (Gut) 75 - 89.99%
3 (Befriedigend) 60 - 74.99%
4 (Genügend) 50 - 59.99%
5 (Nicht genügend) <50%
For a positive grade, you need to achieve a minimal of 50% correct answers in the written exam and minimum of 50% of all exercise points.
1 (Sehr Gut): 90 -100%
2 (Gut) 75 - 89.99%
3 (Befriedigend) 60 - 74.99%
4 (Genügend) 50 - 59.99%
5 (Nicht genügend) <50%
For a positive grade, you need to achieve a minimal of 50% correct answers in the written exam and minimum of 50% of all exercise points.
Examination topics
Reading list
Rob Phillips & Ron Milo "Cell Biology by the Numbers", Garland Science, 2016
Association in the course directory
MMB II., MNEU I
Last modified: Th 27.03.2025 14:46