課程資訊
課程名稱
機率導論
INTRODUCTION TO PROBABILITY THEORY 
開課學期
95-1 
授課對象
理學院  數學系  
授課教師
陳 宏 
課號
MATH2501 
課程識別碼
201 31700 
班次
 
學分
全/半年
半年 
必/選修
必修 
上課時間
星期二5,6(12:20~14:10)星期三5,6(12:20~14:10) 
上課地點
新生505 
備註
總人數上限:100人
外系人數限制:25人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/951IntroProb 
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課程概述

1. Basics
2. Conditional Probability: It includes independence, conditional probability,
and Bayes formula.
3. Distributions: It includes asymptotic approximation such as Poisson
approximation to Binomial, density and distribution functions, joint
distributions, marginal distributions, independence, and conditional
distributions
4. Expected Value: It includes moments, generating functions, expectation,
variance and covariance, correlation, and conditional expectation.
5. Limit Theorems: It includes laws of large numbers, the central limit theorem,
confidence intervals, and hypothesis testing. 

課程目標
Probability is the language in which to study chance phenomena, and whose
concepts are fundamental to many diverse fields including physics, economics
and statistics. The objective of this course is to provide students having
a good calculus background with a solid mathematical treatment of the fundamental
concepts and techniques of probability theory. It is fundamentally important
for understanding the commonly observed random phenomena. 
課程要求
Prerequist: Calculus and one-semester linear algebra  
預期每週課後學習時數
 
Office Hours
每週三 15:10~16:00
每週二 15:20~16:20 備註: If it does not fit to your schedule, please write email to me to set up appointment. 
指定閱讀
 
參考書目
教科書:
R. Durrett: The Essentials of Probability, Duxbury Press 1994 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Final Exam 
35% 
 
2. 
Midterm Exam 
30% 
 
3. 
Quizzes 
20% 
 
4. 
Homework 
15% 
 
 
課程進度
週次
日期
單元主題
第1週
9/19,9/20  1.1: Experiments and Events;
1.2: Probabilities;
1.4: Urn Problems
 
第2週
9/26,9/27  1.5: Repeated Experiments;
1.6: Probabilities;
Review of Homework 
第3週
10/03,10/04  緩衝時間
2.1: Independence;
Review of Homework;
 
第4週
10/11  2.2: Conditional Probability;
2.3: Two-Stage Experiments
 
第5週
10/17,10/18  2.4: Bayes Formula;
Review of Homework;
2.5: Recursion 
第6週
10/24,10/25  2.5: Recursion;
3.1: Poisson Approximation;
Quiz 1 
第7週
10/31,11/01  3.2: Density and Distribution Functions;
3.3: Functions of Random Variables;
Quiz 2;
3.4: Joint distributions
 
第8週
11/07,11/08  3.5: Marginal Distributions & Independence;
3.6: Functions of Several Random Variables;
Quiz 2
 
第9週
11/14,11/15  Midterm;
3.7: Sums of independent random variables  
第10週
11/21,11/22  4.1: Expectation;
4.2: Generating functions;
Review of Homework
 
第11週
11/28,11/29  4.3: Properties of expectation;
緩衝時間;
Review of Homework

 
第12週
12/05,12/06  4.4: Variance and Covariance;
4.5: Conditional Expectation;
Review of Homework 
第13週
12/12,12/13  4.5: Conditional Expectation;
Quiz 3;
5.1: Law of Large Numbers
 
第14週
12/19,12/20  5.1: Law of Large Numbers;
5.2: Central Limit Theorem;
Review of Homework 
第15週
12/26,12/27  緩衝時間;
Quiz 4;
5.3: Confidence Intervals 
第16週
1/02,1/05  Review;
5.3: Confidence Intervals;
Review of Homework 
第17週
1/09,1/10  5.4: Hypothesis Testing;
Review 
第18週
1/16  Final Exam