TIME SERIES ANALYSIS (2/1 Credits)

Learning Outcomes:

On successful completion of this course students wll be able to: Calculate fundamental concepts of time series methods; Apply time series methods to solve problems; Use R (statistical software) to analyze time series data.

Topics:

1. Time Series Data: Examples and Basic Concepts;
2. Trend Forecasting;
3. Exponential Smoothing;
4. Stationary Models;
5. Nonstationary Models;
6. Seasonal Models;
7. Aberrant Observations;
8. Trend Forecasting;
9. Exponential Smoothing;
10. Stationary Models;
11. Nonstationary Models;
12. Seasonal Models;
13. Aberrant Observations.