Math and Bio 2010: Linking Undergraduate DisciplinesLynn Arthur Steen MAA, 2005 - 161 pagina's Math & Bio 2010: Linking Undergraduate Disciplines envisages a new educational paradigm in which the disciplines of mathematics and biology, currently quite separate, will be productively linked in the undergraduate science programs of the 21st century. As a science, biology depends increasingly on data, algorithms, and models; in virtually every respect, it is becoming more quantitative, more computational, and more mathematical. While these trends are related, they are not the same; they represent, rather, three different perspectives on what many are calling the "new biology." All three methods---quantitative, computational, mathematical---are spreading across the entire landscape of biological science from molecular to cellular, organismic and ecological. The aim of this volume is to alert members of both communities---biological and mathematical---to the expanding and exciting challenges of interdisciplinary work in these fields. |
Inhoudsopgave
Educating for Collaboration | 1 |
The Gift of Mathematics in the Era of Biology | 13 |
Issues to Consider | 27 |
Visualization Techniques in the New Biology | 35 |
Building the Renaissance Team | 45 |
Bioinformatics and Genomics | 51 |
Adapting Mathematics to the New Biology | 63 |
Computer Science and Bioinformatics | 75 |
Building Connections in Research Universities | 83 |
Quantitative Initiatives in College Biology | 101 |
Bibliography of Books for Mathematical Biology Bioinformatics Biostatistics | 121 |
Research and Education in Mathematics and Biology | 137 |
Web Resources for Bioinformatics Computational Science | 143 |
Comap Modules | 157 |
Veelvoorkomende woorden en zinsdelen
algorithms analysis applications Applied Mathematics approaches areas Beloit College bioinformatics biological research biological sciences biologists biology and mathematics biology courses biology education biology majors biology students BioQUEST calculus Capital University career Cell Biology chemistry collaborate College complex computational biology computer science computer scientists concepts curricular curriculum databases designed differential equations disciplines Dynamics Ecology ence environmental example experience funding genes Genetics genomics graduate Harvey Mudd College ical Institute integration interdisciplinary introduce labs Lecture Notes math Mathematical Biology mathematical models mathematicians mathematics and biology mathematics and computer matics ment modules molecular biology Morphogenesis National Science Foundation Notes in Biomathematics organisms physics physiology population problems Professor programs quantitative scientific semester sequence sidebar skills Society Springer-Verlag statistics teaching tion topics undergraduate biology Undergraduate Education understand Visualization Wheaton College workshops York