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25661-01 - Lecture with practical courses: Current Topics in Biophysics 6 CP

Semester fall semester 2021
Course frequency Every fall sem.
Lecturers Knut Drescher (knut.drescher@unibas.ch)
Richard Neher (richard.neher@unibas.ch)
Erik van Nimwegen (erik.vannimwegen@unibas.ch, Assessor)
Mihaela Zavolan (mihaela.zavolan@unibas.ch)
Content New measurement technologies have transformed biology into a data rich science. Quantitative analysis and mathematical models are needed to make sense of these data and reach a better, more predictive understanding of biological systems. Such understanding often depends on identifying how biology is constrained by the laws of physics and how it exploits self-organization principles. In this course, we will review how ideas and concepts from physics have helped understanding biological systems by discussing landmark papers in the field. Topics that will be covered include quantitative laws in genome evolution, regulatory circuits for gene regulation and their specific behaviors, the role of gene expression noise, bacterial growth laws, regulatory principles in metazoan development, and application of maximum entropy and information theory principles to biological problems from protein structure to development. Pre-requisites are a good mathematical background (linear algebra, dynamical systems) as well as a basic background in biology.
Weblink Graduate Teaching Program

 

Admission requirements Prerequisites:
- solid mathematical background
- programming skills
- biological background
- lectures: Computational Biology I and II: desirable
Language of instruction English
Use of digital media Online, optional

 

Interval weekly
Date 27.09.2021 – 20.12.2021
Time Monday, 10.15-12.00 - Online Präsenz -
Monday, 13.00-14.00 - Online Präsenz -
Date Time Room
Monday 27.09.2021 10.15-12.00 - Online Präsenz -, --
Monday 27.09.2021 13.00-14.00 - Online Präsenz -, --
Monday 04.10.2021 10.15-12.00 - Online Präsenz -, --
Monday 04.10.2021 13.00-14.00 - Online Präsenz -, --
Monday 11.10.2021 10.15-12.00 - Online Präsenz -, --
Monday 11.10.2021 13.00-14.00 - Online Präsenz -, --
Monday 18.10.2021 10.15-12.00 - Online Präsenz -, --
Monday 18.10.2021 13.00-14.00 - Online Präsenz -, --
Monday 25.10.2021 10.15-12.00 - Online Präsenz -, --
Monday 25.10.2021 13.00-14.00 - Online Präsenz -, --
Monday 01.11.2021 10.15-12.00 - Online Präsenz -, --
Monday 01.11.2021 13.00-14.00 - Online Präsenz -, --
Monday 08.11.2021 10.15-12.00 - Online Präsenz -, --
Monday 08.11.2021 13.00-14.00 - Online Präsenz -, --
Monday 15.11.2021 10.15-12.00 - Online Präsenz -, --
Monday 15.11.2021 13.00-14.00 - Online Präsenz -, --
Monday 22.11.2021 10.15-12.00 - Online Präsenz -, --
Monday 22.11.2021 13.00-14.00 - Online Präsenz -, --
Monday 29.11.2021 10.15-12.00 - Online Präsenz -, --
Monday 29.11.2021 13.00-14.00 - Online Präsenz -, --
Monday 06.12.2021 10.15-12.00 - Online Präsenz -, --
Monday 06.12.2021 13.00-14.00 - Online Präsenz -, --
Monday 13.12.2021 10.15-12.00 - Online Präsenz -, --
Monday 13.12.2021 13.00-14.00 - Online Präsenz -, --
Monday 20.12.2021 10.15-12.00 - Online Präsenz -, --
Monday 20.12.2021 13.00-14.00 - Online Präsenz -, --
Modules Cycle E: Computational and Systems Biology (Master's Studies: Molecular Biology)
Doctorate Biochemistry: Recommendations (PhD subject Biochemistry)
Doctorate Biophysics: Recommendations (PhD subject Biophysics)
Doctorate Cell Biology: Recommendations (PhD subject Cell Biology)
Doctorate Computational Biology: Recommendations (PhD subject Computational Biology)
Doctorate Genetics: Recommendations (PhD subject Genetics)
Doctorate Microbiology: Recommendations (PhD subject Microbiology)
Doctorate Molecular Biology: Recommendations (PhD subject Molecular Biology)
Doctorate Neurobiology: Recommendations (PhD subject Neurobiology)
Doctorate Pharmacology: Recommendations (PhD subject Pharmacology)
Doctorate Structural Biology: Recommendations (PhD subject Structural Biology)
Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics)
Module Specialisation: Molecular Biology (Master's Studies: Nanosciences)
Assessment format continuous assessment
Assessment details The overall result (pass/fail) is based on the performance in the exercises.
Assessment registration/deregistration Reg./dereg.: course registr./cancel registr. via MOnA
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Departement Biozentrum

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