● 課程說明(Course Desc<x>ription)
<br>This course is the first part of a two-semester sequence. The subject of this semester gives an 
<br>introduction to probability theory and statistics. Students learn how to describe random phenomena using 
<br>the language of probability, and how this is applied in a statistical fr<x>amework to solve real world problems. 
<br>This subject teaches students basic concepts in probability theory and their application in statistical 
<br>modelling and inference. Students learn how to formulate an appropriate statistical model for a given dataset 
<br>and how to carry out sensible statistical inference. 
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<br>● 指定用書(Text Books)
<br>R Walpole, R Myers, S Myers, & K Ye, Probability & Statistics for Engineers & Scientists, 9th Edition, 
<br>Pearson.
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<br>● 參考書籍(References)
<br>R Walpole, R Myers, S Myers, & K Ye, Probability & Statistics for Engineers & Scientists, 9th Edition, 
<br>Pearson.
<br>
<br>● 教學方式(Teaching Method)
<br>Subject presentation combines lecture and presentation.
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<br>● 教學進度(Syllabus)
<br>Topic 1: Introduction to Statistics and Data Analysis
<br>Topic 2: Probability
<br>Topic 3: Random Variables and Probability Distributions
<br>Topic 4: Mathematical Expectation
<br>Topic 5: Some Discrete Probability Distributions
<br>Topic 6: Some Continuous Probability Distributions
<br>Topic 7: One- and Two-Sample Estimation Problems
<br>Topic 8: One- and Two-Sided Tests of Hypotheses
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<br>● 成績考核(Evaluation)
<br>Assignments 30%
<br>Midterm examination 35%
<br>Final examination 35% 
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