一、課程說明(Course Desc<x>ription)
<br>
<br>在現實的工作環境中, 我們會發現以往在書本上所學得的理論, 公式所計算出來的結果與實際發
<br>生的永遠有大小不一的差距, 這些差異經常源自於難以預測的變異. 變異經常影響實際的結果並
<br>造成困擾, 而本課程的目的便是介紹一些用於偵測變異發生的方法, 及消除變異的方法. 由於這
<br>些方法往往需藉由實驗來驗證,因此如何設計規劃分析實驗也是本課的重點
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<br>本課程適合大三以上學生修習, 研究生未曾修習品質管制及統計課程者, 應修習本課. 您在未來
<br>的工作時, 必會發現這門課會是非常實用的課程.
<br>
<br>In reality, we will find that the results estimated or calculated ba<x>sed on 
<br>the 
<br>equation or theory introduced in text books are somehow different from those 
<br>measured experimentally.  Frequently the difference is because of the 
<br>unpredictable variance.   The goal of this course is to introduce approaches 
<br>to 
<br>identify unpredicted process variance and methodologies to eliminate these 
<br>variances.  Frequently, these approaches or methodologies had to be verified 
<br>experimentally.  Therefore, how to design and analyze experimental results is 
<br>the other major issue in this study. 
<br>This course is recommended for junior, senior and graduate student who did not 
<br>have much knowledge about statistics and quality control.  You will find that 
<br>this is a very useful course when you start your career.   
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<br>上課課程內容(course content):
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<br>A. Fundamental Concepts and Methods
<br>	Evolution of quality design and control
<br>	Conceptual fr<x>amework for quality 
<br>	Statistical methods and probability concept for data characterization
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<br>B. Process Control and Improvement
<br>	Conceptual fr<x>amework for statistical process control
<br>	Construction and interpretation of Shewhart control chart
<br>	Importance of rational sampling
<br>	Process capability assessment
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<br>C. product Design and Improvement
<br>	Conceptual fr<x>amework for planned experimentation
<br>	Design, interpretation and analysis of two-level factorial design
<br>	Two level fractional factorial design
<br>	Model building for design and improvement
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<br> 二、指定用書(Text Books)
<br>Statistical quality design and control :/contemporary concepts and methods, 
<br>Richard E. DeVor, Tsong-how Chang, John W. Sutherland, New York :Maxwell 
<br>Macmillan International,/c1992./
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<br> 三、參考書籍(References)
<br>1. Statistical Principles of Research Design and Analysis, Robert O. Kuehl,  
<br>   Duxbury Press
<br>2. Design and Analysis of Experiments, Montgomery, 
<br>3. 田口式品質工程導論,鐘清章校訂, 品質管制學會
<br>4. Experimental methods for Engineers, Holman, Mc Graw Hill
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<br> 四、教學方式(Teaching Method)
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<br>授課,討論
<br>Lectures and discussion
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<br> 五、教學進度(Syllabus)
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<br> 六、成績考核(Evaluation)
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<br>暫定 期中考(30%)	 期末考(35%) 作業及小考(30%) 課堂表現 (5%)
<br>Mid-term test(30%) Final Exam(35%) Home work and Quizz (30%) attitude(5%)
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<br> 七、可連結之網頁位址
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