This graduate-level course examines the scientific foundations, contemporary challenges, and applied practice of conservation biology in a human-dominated world. The course emphasizes how ecological theory, data, and models are used to inform real-world conservation decisions across policy, management, nonprofit, and private-sector contexts.
Designed for working professionals, the course integrates foundational conservation science with applied case studies, analytical interpretation, and professional communication. Students will engage with primary literature, policy-relevant syntheses, and practitioner perspectives to evaluate conservation tradeoffs, uncertainty, and decision-making under real constraints.
This is an introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of the R programming language in computer-based in-class exercises and homework assignments.