Course Format: Three hours of lecture and two hours of laboratory per week.

Prerequisites: 101, 134 or consent of instructor. 133 or 135 recommended.

Description: An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra.