This course is an introduction to Time Series methods, including: stationary models, trends and seasonality, stochastic Time Series models, autoregressive and moving average processes and an introduction to Time Series forecasting. ARIMA models. Seasonal Time Series and Spectral Analysis are also covered. Three lecture hours per week. 04-01-2019-03-04-2019 Lecture Monday, Wednesday, Friday 08:30AM - 09:20AM, Cass Science Hall, Room 101