BIOL 337
Evolutionary Ecology Fall 2022
Division III Quantitative/Formal Reasoning
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Evolutionary ecology is an interdisciplinary field that integrates concepts in genetics, adaptation, and ecology to understand how evolution operates in the context of ecological communities. This course provides an overview of the discipline including foundational concepts in evolutionary demography, phenotypic plasticity, and population genetics. It also explores how breakthroughs in these topics provide a framework for advances in our understanding of the evolution of reproductive timing and ageing, interspecific interactions (e.g. competition, predation), cooperation, and altruism. The course combines lectures, readings, in-class discussion, and a lab section that includes a mixture of field, computer, and lab projects. Laboratories will give students practical, hands-on experience in how to develop, plan, and carry out evolutionary ecology research from start to finish.
The Class: Format: lecture/laboratory; lecture, 3 hours per week; laboratory and discussion, 3 hours per week
Limit: 24
Expected: 24
Class#: 1128
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation: Evaluation will be based on lab assignments, two exams, discussion participation, and a written paper.
Prerequisites: BIOL 102, plus either BIOL 202 or BIOL 203 or equivalent
Enrollment Preferences: preference given to biology majors, seniors, and juniors
Unit Notes: Satisfies the distribution requirement for the Biology major
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: Evolutionary ecology uses concepts in genetics and ecology to understand how the frequency of alleles in a population changes over time. These changes are formalized in equations that describe these processes. Students will gain experience in utilizing these equations to describe, analyze, and predict the evolutionary outcome of ecological interactions for both theoretical and experimental purposes. Thus, the students will gain experience in solving systems of equations using algebra and in stat

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