一、課程說明(Course Desc<x>ription)
<br>This is an introductory course for statistics and probability for 
<br>undergraduate students. The purpose of this course is to introduce the methods 
<br>to handle the variability of experimental data and explain how to apply them 
<br>to real engineering problems. Topics include the basic concepts of 
<br>probability, discrete and continuous random variables, probability 
<br>distributions, sampling distributions, point estimation of parameters, 
<br>interval estimation for a single sample, various hypothesis tests, linear 
<br>regression, logistic regression, etc. 
<br>
<br>預備知識: 微積分、工數一。
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<br>二、指定用書(Text Books) 
<br>Montgomery/Runger, Applied Statistics and Probability for Engineers, 7th ed., 
<br>John Wiley & Sons 2019
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<br>三、參考書籍(References) 
<br>1. Johnson, Miller & Freund's Probability and Statistics for 
<br>Engineers, Pearson (9th Ed.) 2018
<br>2. Hayter, Probability and Statistics for Engineers and Scientists, 4th ed., 
<br>Brooks/Cole 2012. 
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<br>四、教學方式(Teaching Method) 
<br>板書授課，每周授課150分鐘 
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<br>五、教學進度(Syllabus) 
<br>1. Basic concepts of probability
<br>2. Discrete and continuous random variables
<br>3. Probability distributions 
<br>4. Sampling distributions
<br>5. Point estimation of parameters
<br>6. Interval estimation 
<br>7. Hypothesis tests
<br>8. linear regression
<br>9. logistic regression
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<br>六、成績考核(Evaluation) 
<br>1. Homework 30%  
<br>2. Midterm exam 35% 
<br>3. Final exam 35%
<br>4. 點名（加分用) 
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<br>七、可連結之網頁位址
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<br>上次開課(2023 spring) 課程進度與內容，請參考:
<br>http://mx.nthu.edu.tw/~pyhsiao/2023/2023_ess304000/2023_ess304000.htm
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<br>NB. 本課程無涉及AI使用