一、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。
<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>二、指定用書(Text Books)
<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>
<br>三、參考書籍(References)
<br>1.Johnson, R. A. (2011). Probability and Statistics for Engineers (8th 
<br>edition). Prentice-Hall Inc.
<br>2.Ross, S. M. (2009). Introduction to Probability and Statistics (4th 
<br>edition). Elsevier Academic Press.
<br>3.Keller, G. and Warrack, B. (2014). Statistics for Management and Economics 
<br>(10th edition). Duxbury.
<br>4.Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2007, 2012). 
<br>Probability and Statistics For Engineers and Scientists. (8th and 9th 
<br>editions). International Edition, Prentice-Hall Inc. 
<br>
<br>四、教學方式(Teaching Method)
<br>Lecturing and discussion
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<br>五、教學進度(Syllabus)
<br>Week    Contents
<br>1-2     Ch 1: Introduction to Statistics and Data Analysis.   
<br>3-4     Ch 2: Probability.   
<br>5-6     Ch 3: Random Variables and Probability Distributions.   
<br>7-8     Ch 4: Mathematical Expectations.   
<br>9       Midterm   
<br>10-12   Ch 5: Some Discrete Probability Distributions. 
<br>13-16   Ch 6: Some Continuous Probability Distributions.   
<br>17      Ch 7: Functions of Random Variables.
<br>18      Final Exam
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<br>六、成績考核(Evaluation)
<br>Midterm Exam  (30%)  
<br>Final Exam   (30%) 
<br>Others       (40%)
<br>-Quizzes
<br>-Class Participation
<br>-Homework Assignments/Practices/Discussions
<br>
<br>七、可連結之網頁位址
<br>Teaching materials and announcements for this course will be posted on the 
<br>eeclass system at https://eeclass.nthu.edu.tw/
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<br>