301400 VU Fundamentals of Quantitative Biology (2025S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 06.02.2025 14:00 bis Do 20.02.2025 18:00
- Abmeldung bis Do 20.02.2025 18:00
Details
max. 70 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
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
- Montag 28.04. 08:00 - 11:15 Hörsaal 3, Biologie Djerassiplatz 1, 0.005, Ebene 0
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
series of on-site lectures and practical computational exercises.
Mindestanforderungen und Beurteilungsmaßstab
final written, closed-book exam (40%); solved exercises (60%).
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 a written test/exam and minimum of 50% of exercises 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 a written test/exam and minimum of 50% of exercises points.
Prüfungsstoff
Literatur
Rob Phillips & Ron Milo "Cell Biology by the Numbers", Garland Science, 2016
Zuordnung im Vorlesungsverzeichnis
MMB II., MNEU I
Letzte Änderung: Do 27.03.2025 14:46