課程名稱 |
機率與統計 Probability and Statistics |
開課學期 |
101-2 |
授課對象 |
電機工程學系 |
授課教師 |
葉丙成 |
課號 |
EE2007 |
課程識別碼 |
901 21000 |
班次 |
04 |
學分 |
3 |
全/半年 |
半年 |
必/選修 |
必修 |
上課時間 |
星期一4(11:20~12:10)星期四7,8(14:20~16:20) |
上課地點 |
電二143電二143 |
備註 |
本系學生優先修習 總人數上限:70人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1012eeprob |
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 |
課程大綱
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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 |
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. |
課程要求 |
1. Prerequisites: Calculus (A)
2. Homework assignments are done via BJT-online social gaming system.
3. Midterm/Final: There will be one midterm and one final exam during the university-scheduled midterm and final exam week.
4. Grading:
Participation: 5%
Homework + Recitation problems: 25%
Midterm: 35%
Final: 35%
A+: grade within top 6% among the total student body of 4 classes in whole
A: grade within top 1/6 among the total student body of 4 classes in whole
A-: grade within top 1/3 among the total student body of 4 classes in whole
B+ or lower: grade would be normalized to within the range of 0~79 and then map to the different grade levels accordingly.
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預期每週課後學習時數 |
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Office Hours |
備註: Midterm/final exams follow the midterm/final week schedule of NTU. |
指定閱讀 |
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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. |
評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
第1週 |
2/21 |
課程須知、如何設計題目:
Part 1.A 影片:http://www.youtube.com/watch?v=GwSEguqJj6U |