<p>1. Introduction</p> <p>2. Very brief introduction to Bayesian statistical modeling</p> <p>3. Introduction to the generalized linear model (GLM): The simplest model for count data</p> <p>4. Introduction to random effects: The conventional Poisson GLMM for count data</p> <p>5. State-space models</p> <p>6. Estimation of population size</p> <p>7. Estimation of survival probabilities using capture-recapture data</p> <p>8. Estimation of survival probabilities using mark-recovery data</p> <p>9. Multistate capture-recapture models</p> <p>10. Estimation of survival and recruitment using the Jolly-Seber model</p> <p>11. Integrated population models</p> <p>12. Metapopulation modeling of abundance using hierarchical Poisson regression</p> <p>13. Metapopulation modeling of species distributions using hierarchical logistic regression</p> <p>14. Concluding remarks</p>