● 課程說明(Course Desc<x>ription)：
<br>本課程強調與說明機率模式與統計方法在工業工程的各種應用。目的在讓學生瞭解統計原理及技
<br>巧，並應用於工程問題分析。此外，本課程將搭配使用統計軟體來進行統計分析，使學習者可快速
<br>學會如何操作及做正確解讀統計軟體報表，以奠定日後從事分析研究工作及管理時之需。
<br>This course emphasizes and illustrates the use of probabilistic models and 
<br>statistical methodology that is employed in countless applications in 
<br>industrial engineering. It gives the student an understanding of the logic 
<br>behind statistical techniques as well as practice in using them.
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<br>● 指定用書(Text Books):　自製講義
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<br>● 參考書籍(References)
<br>Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2016). Probability 
<br>and Statistics For Engineers and Scientists. (9th edition). Global Edition, 
<br>Pearson Education. 
<br>Keller, G. and Warrack, B. (2014). Statistics for Management and Economics 
<br>(10th edition). Duxbury.
<br>唐麗英、王春和 (2018).從範例學MINITAB統計分析與應用. 博碩文化.
<br>彭定國、吳鴻錚、鄭大興 (2006). MINITAB統計分析與應用. 新文京出版.
<br>吳明隆、張毓仁 (2015). Minitab統計應用分析實務. 五南圖書.
<br>陳正昌 (2015). Minitab與統計分析. 五南圖書.
<br>吳明隆 (2015). R軟體統計應用分析實務. 五南圖書.
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<br>● 教學方式(Teaching Method)：
<br>課堂觀念講授、軟體操作技巧說明、案例練習
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<br>● 教學進度(Syllabus)：
<br>※基本統計概念簡介
<br>※敘述統計及常見統計圖表繪製
<br>※機率分配計算與應用
<br>※統計估計及假設檢定
<br>※變異數分析與實驗設計
<br>※迴歸分析
<br>※軟體操作技巧說明及案例練習
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<br>● 成績考核(Evaluation)：
<br>※課堂參與情形及作業練習 (30%)
<br>※個案分組口頭報告 (30%)
<br>※上機測驗及考試 (40%)
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