Universität Wien

301400 VU Fundamentals of Quantitative Biology (2025S)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

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

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.

All other online lectures should be watched before the respective exercise classes.

The exercise classes will take place on the dates listed below. Two different time slots will be available (12pm - 2:15pm OR 2:30pm - 4:45pm). They will take place in the Max Perutz Labs, Dr. Bohrgasse 9, computer rooms, rooms 6.505 and 6.506.

Two dates for the exam will be available:
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 Building

Monday, 28.04
Wednesday, 30.04
Friday, 02.05

Monday, 05.05
Wednesday, 07.05
Friday, 09.05

Monday, 12.05
Wednesday, 14.05
Friday, 16.05

Monday, 19.05
Wednesday, 21.05
Friday, 23.05

Monday, 26.05
Wednesday, 28.05
Friday, 30.05

Monday, 02.06
Wednesday, 04.06
Friday, 06.06

Friday, 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.

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