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Week - 1 |
General Concepts |
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Week - 2 |
Basic Time Series Analysis |
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Week - 3 |
Correlation, autocorrelation, evaluation of forecasting errors |
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Week - 4 |
Moving averages, Exponential smoothing, Holt method, Winters method |
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Week - 5 |
Moving averages, Exponential smoothing, Holt method, Winters method |
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Week - 6 |
Moving averages, Exponential smoothing, Holt method, Winters method applications |
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Week - 7 |
Autorregressive models: AR, MA, ARMA models |
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Week - 8 |
Autorregressive models: ARIMA and SARIMA models |
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Week - 9 |
Regression models |
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Week - 10 |
Regression models |
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Week - 11 |
Forecasting with machine learning |
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Week - 12 |
Forecasting with machine learning |
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Week - 13 |
Forecasting with machine learning |
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Week - 14 |
Project presentations |
Eskisehir Technical University Info Package 
Turkish 
English