Holiday
ENG I工一 103 T1T2F2
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巧,並應用於工程問題分析。 This course emphasizes and illustrates the use of probabilistic models and statistical methodology that is employed in countless applications in industrial engineering. It gives the student an understanding of the logic behind statistical techniques as well as practice in using them.
Course keywords: 機率論(Probability Theory); 抽樣分配(Sampling Distribution); 估計(Estimation); 假設檢定(Hypothesis Testing); 變異數分析(Analysis of Variance, ANOVA); 迴歸分析(Regression Analysis); 一、課程說明(Course Description) 本課程延續上學期「機率論」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巧,並應用於工程問題分析。 This course emphasizes and illustrates the use of probabilistic models and statistical methodology that is employed in countless applications in industrial engineering. It gives the student an understanding of the logic behind statistical techniques as well as practice in using them. 二、指定用書(Text Books) Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2016). Probability and Statistics For Engineers and Scientists. (Global 9th edition). Pearson Education. 三、參考書籍(References) 1.Johnson, R. A. (2011). Probability and Statistics for Engineers (8th edition). Prentice-Hall Inc. 2.Ross, S. M. (2009). Introduction to Probability and Statistics (4th edition). Elsevier Academic Press. 3.Keller, G. and Warrack, B. (2005). Statistics for Management and Economics. Duxbury. 4.Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2012). Probability and Statistics For Engineers and Scientists. (9th edition). Pearson Education. 四、教學方式(Teaching Method) Lecturing and discussion 五、教學進度(Syllabus) Chapter 8: Fundamental Sampling Distributions and Data Descriptions Chapter 9: One and Two-Sample Estimation Problems Chapter 10: One- and Two-Sample Tests of Hypotheses Chapter 11: Simple Linear Regression and Correlation Chapter 13: One-Factor Experiments: General Chapter 14: Factorial Experiments: Two or More Factors (Optional) Chapter 16: Nonparametric Statistics (Optional) ※此課程本年度採取「彈性學期週數:16週實體+2週彈性或線上自主學習」。 六、成績考核(Evaluation) 1. Midterm Exam (30%) 2. Final Exam (40%) 3. Others (30%) -Quizzes -Class Participation -Homework assignments/Practices 七、可連結之網頁位址 Teaching materials and announcements for this course will be posted on the eeclass system at https://eeclass.nthu.edu.tw/. 八、生成式人工智慧倫理聲明:「有條件開放,請註明如何使用生成式AI於作業或報告」 ※根據本校公布之佈的「大學教育場域AI協作、共學與素養培養指引」,本門課程採取「有條件開 放,請註明如何使用生成式AI於作業或報告」,說明如下: 學生可於課堂作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議題 發想、文句潤飾或結構參考等使用方式。然而,若經查核使用卻無在作業或報告中標明,教師、學校或 相關單位有權重新針對作業或報告重新評分或不予計分。 本門課授課教材或學習資料若有引用自生成式AI,教師也將在投影片或口頭標注。 修讀本課程之學生於選課時視為同意以上倫理聲明。
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average Percentage 68.56
Std. Deviation 17.9
本課程為16週課程
工工系大學部2年級優先,第3次選課起開放全校修習
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