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課程名稱 |
機率與統計
Probability and Statistics |
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開課學期 |
102-2 |
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授課對象 |
電機工程學系 |
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授課教師 |
葉丙成 |
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課號 |
EE2007 |
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課程識別碼 |
901 21000 |
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班次 |
04 |
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學分 |
3 |
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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 |
星期一4(11:20~12:10)星期四7,8(14:20~16:20) |
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上課地點 |
電二143電二143 |
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備註 |
本系學生優先修習
總人數上限：60人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1022eeprob |
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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 |
Chap 1: Experiments, Models, and Probabilities
Chap 2: Discrete Random Variables
Chap 3: Continuous Random Variables
Chap 4: Pairs of Random Variables
Chap 5: Random Vectors
Chap 6: Sums of Random Variables
Chap 7: Parameter Estimation Using the Sample Mean
Chap 8: Hypothesis Testing |
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課程目標 |
1. Students understand the basic concepts of probability and statistics after taking this course.
2. Students have the ability to model a real-life problem into a theoretical probability problem, and apply the probability theory to solve for the real-life problem.
3. Students understand the relation between probability and other EE courses/EE research areas.
4. Students know what courses to take ih future if they are further interested in probability. |
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課程要求 |
1. Prerequisites: Calculus (A)
2. Homework assignments are given at the start of the lecture. Their due dates are assigned herein. The due dates are at least two weeks from the date of assignment. Late homework is NOT accepted.
3. Midterm/Final: There will be one midterm and one final exam during the university-scheduled midterm and final exam week.
4. Grading:
Midterm exam: 40%
Final exam: 40%
Homework: 15%
Participation/quiz: 5% |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
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參考書目 |
「Probability and Stochastic Processes (2nd Edition)」 by R.D. Yates, D.J. Goodman, John Wiley and Sons, 2005. |
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評量方式
(僅供參考) |
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