| Projekt: | BIOSYM - Learning Modules for Systems Biology |
| Status: |
FinalistIn MEDIDA-PRIX 2008 |
| Haupteinreicher/in: | Dr. Christoph Fuchs |
| Institution: | Universität Zürich Winterthurerstrasse 190 CH-8057 Zürich |
| eMail: | christoph.fuchs@mnf.uzh.ch |
| Internet: | zur Projektseite |
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| Beschreibung: | |
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BIOSYM is an interactive, blended learning bio-modeling training
course. Its modules incorporate quantitative mathematical approaches
into life sciences curricula and familiarize students with the power of
modeling biological processes and systems. Systems biology with BIOSYM
is a logical step towards synthesizing details and fragments of
knowledge into a more holistic view of biology, and it can serve as a
motivation to deal with the complexity inherent to many biological
systems. BIOSYM is based on biological principles applied to the conceptual teaching and learning of systems biology. Today it has become essential to apply mathematical models as learning and research tools at all levels of biological education. BIOSYM introduces students to model building, shows them how to design mathematical models and trains them to use simulations skillfully. The heart of BIOSYM are modules which are tailored to acquire modeling skills for specialized topics. A BIOSYM course starts by introducing classical dynamic models, advances to more complex models (e.g. epidemics, metabolic networks, metabolic control, physiology, gene regulation etc.) and introduce, on an advanced level, models which can assist students in designing quantitative experiments with proper boundary conditions and handling large data sets. The training is primarily based on MATLAB and its tool boxes. Each model is introduced by a short summary of the biological facts and references to the appropriate literature. Many models contains a Java Applet or a Flash animation which will motivate the student to learn the details of the background. Courses are organized and managed via the OLAT learning platform (https://www.olat.uzh.ch), and lecture contents are available as recorded webinars via OLAT. | |
Benutzerspezifische Werkzeuge
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