Temple University 3 credits BIOL
This course explores the causes and consequences of genetic variation within and between populations. We can now obtain large-scale genetic variation data from a variety of species, and this data can be used to make inferences about demographic history, natural selection, gene flow, and a variety of other evolutionary processes. This course focuses on developing the theoretical machinery necessary to understand the factors that shaped the observed genetic variation, and examines how patterns of genetic variation inform our understanding of those forces. By developing probabilistic models of evolution based on coalescent theory and diffusion theory, students in the course will learn to apply statistical methods such as maximum likelihood and Bayesian inference to genetic data. Students will also gain familiarity with commonly used population genetics software.
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