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"Mathematical models and quantitative methods in evolution and ecology" Graduate seminar: E&EB 678b

Summary: "Mathematical models and quantitative methods in evolution and ecology"
Graduate seminar: E&EB 678b
Professors: David Post and Suzanne Alonzo
Time: Spring semester 2007, Wednesday 10-12pm
Where: 551 OML
In this course, we focus on how quantitative approaches are used to allow scientific
inference. We will first discuss general principles for generating hypotheses that are testable
(i.e. quantifiable). This course will also examine a variety of approaches used to model
population level processes in evolution and ecology including an overview of population
genetics, quantitative genetics, optimality models, game theory and population dynamic
equations. We will also discuss experimental design, statistical analyses, inference and other
quantitative methods. The course assumes a basic background in algebra, calculus,
probability theory and statistics. Please address any questions regarding the course to
Suzanne.Alonzo@Yale.edu or David.Post@Yale.edu.
The course is structured as a graduate seminar and will meet two hours weekly for discussion
and practical exercises. Students are expected to actively participate in and occasionally lead
discussion on weekly topics. Practical exercises will be done in Matlab. However, no prior
knowledge of Matlab or computer programming is required. Extensive reading will be
assigned for topic and must be read before the class. Each student will propose and
complete a quantitative project based on their research interests that will be presented at the


Source: Alonzo, Suzanne H. - Department of Ecology and Evolutionary Biology, Yale University


Collections: Environmental Sciences and Ecology; Biology and Medicine