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Institution:
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University of Rochester
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Subject:
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Description:
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Aimed at building problem-solving ability in students through the development of mathematical models for certain real-life situations in the biological sciences. Topics are selected from epidemiology, population growth, genetics and demographics amongst other things. Both discrete and continuous models as well as both deterministic and stochastic ones are treated. Models treated cover a variety of phenomena both discrete and continuous, linear and non-linear, determinstic and stochastic. Some topics that might be treated are Leslie Matrices in Demographics, Exponential and Logistic growth,Gompertz growth in tumors, Hardy-Weinberg Law in population genetics, Lotka-Volterra predator-prey systems, principle of competitive exclusion,the Kermack-McKendrick model of epidemics (and variants), Markov chain models (with the requisite intro to probability) and the stochastic pure birth process and epidemic models.
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Credits:
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4.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(888) 822-2256
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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