課程資訊
課程名稱
工程統計學
Engineering Statistics 
開課學期
105-1 
授課對象
土木工程學系  
授課教師
郭安妮  
課號
CIE2011 
課程識別碼
501E23200 
班次
02 
學分
全/半年
半年 
必/選修
必修 
上課時間
星期二3,4,5(10:20~13:10)星期三2(9:10~10:00) 
上課地點
新503新504 
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)
總人數上限:45人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1051CIE2011_02_2016 
課程簡介影片
 
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課程概述

To introduce the principles of probability and statistics, and their applications in the engineering field 

課程目標
Upon completion of this course, students should be able to:
(1)Compute and interpret descriptive statistics
(2)Understand the basic concepts of probability, random variables, probability distribution, and joint probability distribution
(3)Compute point estimation of parameters and determine sampling distributions
(4)Construct confidence intervals
(5)Perform simple linear regression  
課程要求
30% Homework Assignments
30% Midterm Examination
40% Final Examination
 
預期每週課後學習時數
 
Office Hours
另約時間 備註: By Appointment 
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) 
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
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
Week 1
9/13,9/14  Introduction; Probability 
Week 2
9/20,9/21  Probability 
Week 3
9/27,9/28  Random Variable and Probability Distributions 
Week 4
10/04,10/05  Random Variable and Probability Distributions 
Week 5
10/11,10/12  Expectation 
Week 6
10/18,10/19  Probabilistic Models 
Week 7
10/25,10/26  Probabilistic Models 
Week 8
11/01,11/02  Sampling Distribution 
Week 9
11/08,11/09  Midterm Examination (11/08);
Sampling Distribution (11/09) 
Week 10
11/15,11/16  Estimation Problems 
Week 11
11/22,11/23  Estimation Problems 
Week 12
11/29,11/30  Test of Hypotheses 
Week 13
12/06,12/07  Test of Hypotheses 
Week 14
12/13,12/14  Linear Regression
 
Week 15
12/20,12/21  Linear Regression
 
Week 16
12/27,12/28  One-Factor Experiment 
Week 17
1/03,1/04  One-Factor Experiment 
Week 18
1/10  Final Examination