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課程名稱 |
機率
PROBABILITY |
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開課學期 |
97-2 |
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授課對象 |
資訊工程學系 |
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授課教師 |
林守德 |
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課號 |
CSIE2121 |
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課程識別碼 |
902 25600 |
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班次 |
01 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必帶 |
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上課時間 |
星期四6,7,8(13:20~16:20) |
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上課地點 |
資102 |
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備註 |
限學號單號 且 限本系所學生(含輔系、雙修生) 且 限學士班二年級以上
總人數上限：80人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/972probability |
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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 |
Axiom_prob, Conditional Prob, Independence, Bayesian
descrete prob distribution
continuous prob distribution
Multivariable distribution
Chebyshev, Normal Distribution, central limit theorem
Information Theory
Bayesian Networks
Prob. For Data Mining and Search
Prob. For natural langauge processing and social network
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課程目標 |
This course will give a mathematical introduction to Probability. It will also cover some advanced topic (e.g. information theory) and application (data mining, search engine, natural language processing) |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
每週三 13:00~15:00
每週二 14:00~16:00
每週一 10:00~12:00 備註： <br> Mon. 10:00 ~ 12:00 @406 <br>
Tue. 14:00 ~ 16:00 @202 <br>
Wed. 13:00 ~ 15:00 @446 |
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指定閱讀 |
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參考書目 |
Textbook:
Probability and Statistical Inference (Hogg & Tanis)
Reference books:
Introduction to Bayesian Statistics (1st or 2nd edition), William Bolstad
Data Analysis - a Bayesian tutorial (2nd edition) D.S. Sivia
Probability and Statistics for Computer Science, James L. Johnson
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Assignmants |
20% |
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2. |
Midterm |
40% |
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3. |
Final |
40% |
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週次 |
日期 |
單元主題 |
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第1週 |
02/19 |
Introduction |
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第1週 |
02/25 |
1. Introduction
2. Why learning probability
3. Methods of Enumeration |
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第2週 |
02/26 |
Populations, samples and process<br>
Axioms of probability<br>
Conditional Probability,
Independent Events, and Bayes’s Theorem |
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第3週 |
03/05 |
Law of Total Prob, Conditional Independence and Baye's Rule<br>
PMF, Expectation, Mean and Variance |
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第4週 |
03/12 |
Discrete Probability Distributions<br>
Continuous Probability Distributions |
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第5週 |
03/19 |
Continuous Probability Distributions II<br>
Distribution of Functions of Random Variables |
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第6週 |
3/26 |
Multivariate Distributions |
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第7週 |
04/09 |
Correlation Coefficient and Chebyshev's Inequality<br>
Interesting Statistical Behaviors<br>
當機率遇上人文 |
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第7週 |
04/02 |
holiday |
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第8週 |
04/09 |
Correlation Coefficient and Chebyshev's Inequality<br>
Interesting Statistical Behaviors<br>
當機率遇上人文 |
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第9週 |
04/16 |
Midterm Exam |
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第10週 |
04/23 |
Normal Distribution |
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第11週 |
04/30 |
Confidence Intervals for Means<br>
Review of last week’s Class |
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第12週 |
05/07 |
Information Theory |
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第13週 |
05/14 |
Probabilistic Reasoning Using Bayesian Network<br>Chi-Square Goodness of Fit Tests
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第14週 |
05/21 |
Probability and Decision Making<br>
Data Mining |
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第15週 |
05/28 |
Holiday! |
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第16週 |
06/04 |
Language Model<br>
Probability for Information Retrieval<br>
Review of Bayesian Networks & Data Mining |
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第17週 |
06/11 |
Review of Probability 2009<br>
Probability & Life<br>
Probability and Our Research |
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