| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 4805006 | 商業預測方法 | Business Forecasting Methods | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程教導學生商業預測的方法技巧。除幾種簡易的預測方法外，本課程亦將強調下列四種以統計為基礎的預測方法：1. 移動平均與次方平滑法，2. 迴歸法，3. 傳統時間序列拆解法，4. Box-Jenkin（ARIMA）時間序列模式。課程中亦將論及這些預測方法在不同行業及公共事業的應用。 | |||
| 英文概述 English Description | This course teaches the students various methods used in business forecasting. In addition to some native methods, the following four statistics based forecasting methods will be emphasized: (1) Moving Average and Exponential Smoothing, (2) Regression, (3) Classical Time Series Decomposition, and (4) Box-Jenkin (ARIMA) Time Series Models. Evaluations and applications of these methods in different business and public sectors will be addressed. | |||
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