Universität Wien
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301400 VU Fundamentals of Quantitative Biology (2025W)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Mo 19.01. 08:00-09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 130 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The lectures take place on Mondays and Wednesdays from 8:00 to 9:30 a.m. starting November 10th in HS I in the main building (UBB).

Starting from November 11, 2025, the exercises (UE) will take place every Tuesday and Thursday in the PC rooms MPL/6th floor, Dr. Bohrgasse 9 (room numbers: 6.505 and 6.506). Attendance at both the lecture (VO) and the exercise (UE) is mandatory but students may miss 4 lectures and 4 exercises without providing medical confirmation.

There will be multiple exercise groups, each with approximately 18 participants. We offer the following time slots that will be assigned on a first come first served basis:

Timeslot 1: 10:00 - 12:15
Timeslot 2: 13:00 - 15:15
Timeslot 3: 15:30 - 17:45
Timeslot 4: 18:30 - 20:45

Assignment to the groups will be done via Moodle. The exact date will be announced later, but it will be no earlier than October.

Exercise days:
Tu 11.11.2025
Th 13.11.2025
Tu 18.11.2025
Th 20.11.2025
Tu 25.11.2025
Th 27.11.2025
Tu 02.12.2025
Th 04.12.2025
Th 11.12.2025
Tu 16.12.2025
Th 18.12.2025
Th 08.01.2026
Tu 13.01.2026
Th 15.01.2026
Tu 20.01.2026
Th 22.01.2026
Tu 27.01.2026
Th 29.01.2026

  • Donnerstag 09.10. 09:45 - 11:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0 (Vorbesprechung)
  • Montag 10.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 12.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 17.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 19.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 24.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 26.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 01.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 03.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 10.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 15.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 17.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 07.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 12.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 14.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 21.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Montag 26.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Mittwoch 28.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, 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.
Compulsory attendance in the lecture as also in the exercises is required,
but students may miss 4 lectures and 4 exercises without providing medical confirmation. Exercises will be assessed in 6 mini-exams, students will be able to repeat one of them if they missed it.

Mindestanforderungen und Beurteilungsmaßstab

Final written, closed-book exam (35%); solved exercises (65%).
1 (Sehr Gut): 87.5 -100%
2 (Gut) 75 - 87.5%
3 (Befriedigend) 62.5 - 75%
4 (Genügend) 50 - 62.5%
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.

Prüfungsstoff

Exam dates are:
Mo 09.02.2026, 8.00-9.30h, UBB HS1
Th 26.02.2026, 8.00-9.30h, UBB HS1

Literatur

Rob Phillips & Ron Milo "Cell Biology by the Numbers", Garland Science, 2016

Zuordnung im Vorlesungsverzeichnis

MMB II., MNEU I

Letzte Änderung: Di 23.09.2025 10:27