Overview of theory and practical aspects of fitting time series models to fisheries and environmental data. Topics include autocorrelation and crosscorrelation, autoregressive and moving average models, state-space models, and estimating model parameters. Focuses on conceptualizing analyses, implementing analyses, and making inference from results.