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 |
---|---|---|---|---|
9805126 | 需求預測與存貨管理 | Demand Forecasting & Inventory Management | 3.0 | 3 |
中文概述 Chinese Description | 分析時間為主軸的資料,並預測未來時間序列的觀測值在近年來已經成為學術界的顯學之一。舉凡財務範疇至經濟學領域的課題,例如生產作業管理之需求預測、社會政策的分析、至人類決策對於環境所造成影響等預測性議題。本課程講述內容包含:時間序列建模,迴歸分析,指數平滑技術,ARIMA建模技術,轉換方程式與回饋干涉模型,與其他相關預測技術等。 | |||
英文概述 English Description | Analyzing time-oriented data and forecasting future values of a time series are among the most important problems that analysts face in many fields, ranging from finance and economics to managing production operations, to the analysis of political and social policy sessions, to investigating the impact of humans and the policy decisions that they make on the environment. This course is specially designed for graduate students who are focused on a few specific forecasting techniques. This course will address time series modeling, regression analysis, exponential smoothing methods, autoregressive integrated moving average models, transfer functions and intervention models, and other related forecasting topics. |
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