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This four-day workshop will introduce and explore mathematical and computational biology—the use of quantitative techniques and powerful software packages to address biological questions. Over the course of the workshop, presenters will introduce specific biological questions from genetics, ecology, allometry, viral evolution, colonial morphology, and show how mathematical and computational techniques can help us learn more about these systems. Participants will then learn to use a variety of tools such as physical and computational models, phylogenetics software, and visualization software, and apply this knowledge both to explore mathematical models of biological systems and to analyze actual biological data. The workshop emphasis will be on group work and collaborative learning. Through inviting participants with diverse backgrounds and interests, we hope to encourage interdisciplinary communication and lay a foundation for future collaboration.

The workshop's pedagogy will reflect BioQUEST's "3 P's" educational philosophy: problem posing, problem solving, and peer persuasion. For the first two days, participants will take on the role of learners, exploring bioinformatics concepts and methods from a research perspective. For the second half of the workshop, we encourage participants to approach the subject from a teaching perspective and explore ways that they might use concepts, data, and/or methods from the workshop in their own courses. Each portion of the workshop will culminate in group projects that will be shared with the other participants. We will also post these projects online, where they can benefit the broader bioinformatics and educational communities.

The workshop is designed for:

• biologists and chemists interested in incorporating mathematical and computational methods into their curricula, and who enjoy collaborative learning such as has been developed and diffused by the BioQUEST Curriculum Consortium.

• mathematicians and computer scientists curious about how their fields impact mathematical and computational biology. We encourage you to come and interact with biologists to develop a better idea of the various questions that arise with respect to teaching and learning elements of 21st-century biology.

No prior background in mathematical or computational biology is necessary. There is no charge for registration.

 


    Workshop Leaders

    John R. Jungck
    Tia Johnson

    Tony Weisstein

Beloit College, Wisconsin
Departments of Biology, Chemistry and Math & Computer Science

For more information,
please contact
Sue Risseeuw ( 608-363-2012 ).

Sponsored by a grant from the National Science Foundation (DUE/CCLI-ND)
and