An exploration of data-based models as tools for inference in ecological research. Emphasis on the formulation and development of scientific models, modern statistical and computational methods for estimating model parameters, and evaluation of alternate models using strength of evidence. Laboratory exercises challenge students to apply these methods to real ecological data, including their own research. The course also explores the philosophical underpinnings of different statistical schools of thought including frequentist, likelihoodist, and Bayesian approaches.