Universität Wien

301400 VU Fundamentals of Quantitative Biology (2023W)

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

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. 100 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

* Vorbesprechung: *
We will have a pre-meeting on Thursday, 12th October 2023, 11:30h to discuss the format and organization of the course. The meeting will be online, the link will be available on Moodle.

* Overview: *
The course consists of 2 hours of lectures + 3 hours of exercises on Mondays and Thursdays, see below for the exact dates.

* Time and location of the lecture: *
The lectures will take place at Hörsaal 2, Biologie Djerassiplatz 1, from 08:00-9:30h.

* Time and location of exercises: *
The exercises will be held at the computer classrooms 6.505 & 6.506 on the 6. Floor of the Max Perutz Labs main building, Dr. Bohrgasse 9

We offer four time slots:
- Groups 1 & 2: 10:00 - 12.15
- Groups 3 & 4: 12.30 - 14.45
- Groups 5 & 6: 15:00 - 17.15
- Group 7: 17:30 - 19:45

Groups for exercises will be assigned via an online poll in Moodle on a first-come-first-serve basis. The poll will be made available some 2 weeks before the start of the course.

This is a course with mandatory attendance, but one can miss up to 4 days without an excuse (this counts for both lectures and exercises - if you miss just the lecture or just the exercise on one day, this counts as one day missed). All other absences will be treated on a case-by-case basis and may include additional assignments.

  • Monday 06.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 09.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 13.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 16.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 20.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 23.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 27.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 30.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 04.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 07.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 11.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 14.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 08.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 11.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 15.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 18.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Monday 22.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
  • Thursday 25.01. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, 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: Tu 31.10.2023 15:28