Universität Wien
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301400 VU Fundamentals of Quantitative Biology (2022W)

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

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: 15 Uhr, 19. Oktober (Mittwoch) 2022, Hörsaal A+B, Vienna Biocenter 5, Department of Structural and Computational Biology, Ebene 1, Vienna Biocenter Campus

Course: blocked from 21.11. - 14.12.2022 (2 hours of lectures + 3 hours of exercises every day); lectures: 8- 9.30 Uhr;
exercises: one of three slots (11 - 13.15; 13.30 - 15.45; 16 - 18.15) every day. 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.

LOCATIONS FOR EXERCISES (groups as given in Moodle poll)

21.11.22 - 25.11.22 (first week)

Groups 1, 3 and 5: EDV Raum 3, 6. floor, Max Perutz Labs main building, Dr. Bohrgasse 9, 1030 Wien

Groups 2, 4 and 6: EDV Raum, VBC5, Campus Vienna Biocenter 5, 1030 Wien

28.11.22 - 15.12.22 (weeks 2, 3 and 4)

Groups 1, 3 and 5: EDV Raum 3, 6. floor, Max Perutz Labs main building, Dr. Bohrgasse 9, 1030 Wien

Groups 2, 4 and 6: EDV Raum 4, 6. floor, Max Perutz Labs main building, Dr. Bohrgasse 9, 1030 Wien

Monday 21.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Tuesday 22.11. 08:00 - 09:30 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
Wednesday 23.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 24.11. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Friday 25.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Monday 28.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Tuesday 29.11. 08:00 - 09:30 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
Wednesday 30.11. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 01.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Friday 02.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Monday 05.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Tuesday 06.12. 08:00 - 09:30 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
Wednesday 07.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Friday 09.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Monday 12.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Tuesday 13.12. 08:00 - 09:30 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
Wednesday 14.12. 08:00 - 09:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Thursday 15.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, 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 (50%), mini quizzes (15%).
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.

Examination topics

Reading list

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

Association in the course directory

MMB II., M-WZB

Last modified: Tu 21.03.2023 09:29