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Semester | fall semester 2024 |
Angebotsmuster | Every fall sem. |
Dozierende |
Knut Drescher (knut.drescher@unibas.ch)
Richard Neher (richard.neher@unibas.ch) Erik van Nimwegen (erik.vannimwegen@unibas.ch, BeurteilerIn) Mihaela Zavolan (mihaela.zavolan@unibas.ch) |
Inhalt | 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, trade-offs between unicellular and multicellular organization, regulatory circuits for gene regulation and their specific behaviors, the role of gene expression noise, bacterial growth laws, regulatory principles in metazoan development, and the application of maximum entropy and information theory principles to biological problems from protein structure to development. Pre-requisites are a good mathematical background (calculus, linear algebra, dynamical systems, probability theory) as well as a basic background in biology. |
Bemerkungen | This course is also part of the MSc program Computational Biology and Bioinformatics with ETH-Z and Uni Zürich. Students from this program should register early and get in touch with the study coordinator to ensure that they have access to the relevant online resources from the start. The course starts in the second week of the semester on 23.9.2024 |
Weblink | Graduate Teaching Program |
Teilnahmevoraussetzungen | Prerequisites: - solid mathematical background - lectures: Computational Biology I and II: desirable (for students with unibas background) |
Unterrichtssprache | English |
Einsatz digitaler Medien | Online, optional |
Intervall | Wochentag | Zeit | Raum |
---|---|---|---|
wöchentlich | Montag | 10.15-12.00 | Biozentrum |
wöchentlich | Montag | 13.15-14.00 | Biozentrum |
Datum | Zeit | Raum |
---|---|---|
Montag 23.09.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 23.09.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 30.09.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 30.09.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 07.10.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 07.10.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 14.10.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 14.10.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 21.10.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 21.10.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 28.10.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 28.10.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 04.11.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 04.11.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 11.11.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 11.11.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 18.11.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 18.11.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 25.11.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 25.11.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 02.12.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 02.12.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 09.12.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Montag 09.12.2024 | 13.15-14.00 Uhr | Biozentrum, Online Präsenz |
Montag 16.12.2024 | 10.15-12.00 Uhr | Biozentrum, Online Präsenz |
Module |
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) Modul: Foundations in Physics of Life (Master's Studies: Physics of Life) Module Specialisation: Molecular Biology (Master's Studies: Nanosciences) |
Prüfung | continuous assessment |
Hinweise zur Prüfung | To pass the course, students need to participate in at least 10 sessions. The grade will be based on quality and quantity of active oral participation, submitted written notes as preparation for each of the sessions, and a report on one of the topics. |
An-/Abmeldung zur Prüfung | Reg.: course registration, dereg: cancel course registration |
Wiederholungsprüfung | no repeat examination |
Skala | 1-6 0,5 |
Belegen bei Nichtbestehen | as often as necessary |
Zuständige Fakultät | Faculty of Science, studiendekanat-philnat@unibas.ch |
Anbietende Organisationseinheit | Departement Biozentrum |