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Course Criteria
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0.00 - 4.00 Credits
Our options for controlling infectious disease are intimately linked to the epidemiological dynamics and evolution of pathogens and parasites. Mathematical models are a natural bridge between dynamics and policy, but they need to be rooted in epidemiological data and biological understanding of disease-causing agents. This course explores the links between data, theory, and policy via a series of case studies. We introduce a range of modeling and data analytical tools and apply them to policy issues via lectures and case studies. Applications include the control of infections like measles, influenza, and sexually-transmitted infections.
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0.00 - 4.00 Credits
An advanced foundation in ecology, focusing on the 50 fundamental papers, is given. Topics include dynamics and structure of populations, communities and ecosystems, and conservation biology. (This is a core course.)
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0.00 - 4.00 Credits
This course will cover the essential topics of what constitutes responsible conduct in research.
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0.00 - 4.00 Credits
Systematic reviews of recent literature in areas of ecology, evolution, and animal behavior. The general survey of literature is supplemented with detailed discussion of selected research papers of unusual importance and significance. (This is a core course.)
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0.00 - 4.00 Credits
This is an introductory course on empirical and theoretical population genetics. The first half of the course covers the primary population level processes (mutation, drift, selection, migration, recombination, mating patterns, population size and subdivision) and the second half focuses on methods of measuring genetic variation and testing population genetic models. The course will also cover some advanced topics such as coalescent theory, models of the evolution of sexual reproduction, genetic hitchhiking, speciation models. A working knowledge of basic molecular genetics, algebra and statistics is assumed.
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0.00 - 4.00 Credits
This intensive three week field course takes place during January in a suitable tropical locality. Readings, discussions, and individual projects. The content and location are varied to suit the needs of the participants. Students provide their own travel funds.
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0.00 - 4.00 Credits
Discussion of the central problems of population biology and approaches that have proved fruitful. Topics ranging throughout ecology, evolution, biogeography, and population genetics are usually related to presentations by visiting speakers and students. (This is a core course.)
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0.00 - 4.00 Credits
The causes of global patterns in plant and animal diversity remain a topic of debate just as when Wallace and Darwin defined the issue. This seminar seeks a new synthetic understanding of the topic via critical reviews of major papers on (1) macro-evolutionary patterns of species formation and loss as documented in the paleontological literature, (2) the causes and dynamics of speciation, (3) geographic (including latitudinal) patterns in species diversity, (4) allometric scaling of body size, abundance, productivity, etc. and diversity, and (5) analytical theories of interspecific interactions and species persistence/coexistence.
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0.00 - 4.00 Credits
This course will overview the science behind Earth System Models (ESMs), with focus on interactions between the terrestrial biosphere and climate. An ESM consists of coupled models of the atmosphere, oceans and land, which includes carbon, hydrologic, and nutrient cycles. The course will offer hands-on experience with the NOAA/GFDL ESMs and their components. Students will learn how to use models to predict impacts of climate change on the biosphere, its feedbacks on climate, and how to evaluate ESM's uncertainties.
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0.00 - 4.00 Credits
Taken concurrently with EGR/MAT/PHY 191, this course offers an integrated presentation of the material from PHY 103 (General Physics: Mechanics and Thermodynamics) and MAT 201 (Multivariable Calculus) with an emphasis on applications to engineering. Math topics include: vector calculus; partial derivatives and matrices; line integrals; simple differential equations; surface and volume integrals; and Green's, Stokes', and divergence theorems.
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