The class will focus on some models frequently employed in the analysis of tourism time series. The course will initially focus on tourism flows decomposition (trend and seasonality) and on the technique of exponential smoothing. The course will then present some important stationary processes such as the auto-regressive (AR) and the moving average (MA) models. After that, the course will present the concepts of autocorrelation and partial-autocorrelation function necessary for the implementation of the Box-Jenkins methodology. The AR and the MA models will be subsequently generalized and extended to non-stationary processes thanks to the ARIMA model. Finally, the course will introduce the seasonality component trough the SARIMA models. Thanks to the latter the course will present a forecast of the tourism arrivals in Sardinia in the next few years.