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課程名稱 |
工程統計學
Engineering Statistics |
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開課學期 |
107-1 |
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授課對象 |
土木工程學系 |
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授課教師 |
郭安妮 |
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課號 |
CIE2011 |
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課程識別碼 |
501E23200 |
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班次 |
02 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期二3,4,5(10:20~13:10)星期三2(9:10~10:00) |
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上課地點 |
新401新403 |
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備註 |
本課程以英語授課。本課程以英文授課。
限本系所學生(含輔系、雙修生) 且 限學士班二年級
總人數上限：50人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1071engrstat_02 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
介紹機率せ統計學的基本原理,以及在工程上的應用 |
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課程目標 |
了解機率せ統計學的基本原理,以及在工程上的應用, 主題包括:
(1) 描述統計
(2) 機率せ隨機變數せ機率分佈せ數學期望值
(3) 統計估計
(4) 信賴區間せ假設檢定
(5) 迴歸分析
(6) 因子實驗 |
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課程要求 |
30% Homework Assignments
30% Midterm Examination
40% Final Examination |
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： By Appointment |
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指定閱讀 |
Probability and Statistics for Engineers and Scientists, Walpole, Myers, Myers, and Ye, 9th Edition, 2014, Pearson (歐亞書局代理) |
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參考書目 |
Essentials of Probability & Statistics for Engineers & Scientists, Walpole,
Myers, Myers, and Ye, 1st Edition, 2013, Pearson. (滄海圖書代理)
Engineering Statistics, Montgomery, Runger, Hubele, 3rd Edition, 2004, Wiley
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Final Examination |
40% |
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2. |
Midterm |
30% |
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3. |
Homework |
30% |
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週次 |
日期 |
單元主題 |
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Week 1 |
09/11, 09/12 |
Introduction; Descriptive Statistics;
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Week 2 |
09/18, 09/19 |
Probability |
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Week 3 |
09/25, 09/26 |
Random Variable and Probability Distributions
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Week 4 |
10/02, 10/03 |
Random Variable and Probability Distributions
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Week 5 |
10/09, 10/10 |
Expectation; (10/10 National Day, No Class) |
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Week 6 |
10/16, 10/17 |
Probabilistic Models |
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Week 7 |
10/23, 10/24 |
Probabilistic Models |
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Week 8 |
10/30, 10/31 |
Sampling Distribution |
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Week 9 |
11/06, 11/07 |
Sampling Distribution, Estimation Problems |
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Week 10 |
11/13, 11/14 |
Midterm Examination; Estimation Problems |
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Week 11 |
11/20, 11/21 |
Estimation Problems |
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Week 12 |
11/27, 11/28 |
Test of Hypotheses; (11/28 No Class) |
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Week 13 |
12/04, 12/05 |
Test of Hypotheses |
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Week 14 |
12/11, 12/12 |
Linear Regression
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Week 15 |
12/18, 12/19 |
Linear Regression; One-Factor Experiment
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Week 16 |
12/25, 12/26 |
One-Factor Experiment |
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Week 17 |
1/01, 1/02 |
New Year's Day; No Class |
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Week 18 |
1/08 |
Final Examination |
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