課程資訊
課程名稱
機率論一
Probability Theory (Ⅰ) 
開課學期
108-1 
授課對象
理學院  應用數學科學研究所  
授課教師
黃建豪 
課號
MATH7509 
課程識別碼
221 U3410 
班次
 
學分
3.0 
全/半年
半年 
必/選修
必修 
上課時間
星期二6,7(13:20~15:10)星期四7(14:20~15:10) 
上課地點
天數101天數101 
備註
總人數上限:70人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1081MATH7509_1 
課程簡介影片
 
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課程概述

This is a graduate course in measure-theoretic probability theory. We will begin with the review of basic measure theory suitable for the probability theory. Having reviewed measure theory, we can introduce random variables, random processes, distributions, and independence. We will discuss Laws of Large Numbers, Central Limit Theorems, Conditioning, Martingales, Markov processes, Random walks. 

課程目標
Investigate some basic topics of random phenomena and learn the essential tools for studying such phenomena. 
課程要求
This course is aiming at GRADUATE students. Students with disciplines other than math are welcome but be prepared with the following prerequisites.
1. Measure theory. (Royden Real analysis 3rd Ch 1-7)
2. Undergraduate probability theory.
More info on my course page https://sites.google.com/site/chienhaouci08/math_2a/gradp 
預期每週課後學習時數
 
Office Hours
每週二 12:00~13:00
每週一 12:00~13:00 
指定閱讀
Durrett. Probability: Theory and Examples 
參考書目
1. Probability by Varadhan
2. A Course in Probability Theory, by K.L. Chung, second edition, Academic Press, 1974.
3. Probability and Measure, by P. Billingsley, 3rd edition, Wiley, 1995. 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Class participation 
10% 
 
2. 
Homework 
20% 
每周作業or上台演習 
3. 
Midterm 
30% 
W09 11/05 
4. 
Final 
40% 
W17 12/31 
 
課程進度
週次
日期
單元主題
第1週
9/10,9/12  Classes on Tuesday and Thursday are cancelled.
#1 Do the following problems and the first two in HW01 to see if you are ready for this course. Ex. 1.4.4, 1.5.7, 1.6.6, 1.6.9, 1.6.10, 1.6.14
#2 Self-reading: Royden 3rd Sec 8.5 product topology, 9.3 Product of compact spaces; Additional reference: Munkres 2nd 19 product topology, 37 Tychonoff theorem; Dudley Ch2 General topology Sec 2.1, 2.2 
第2週
9/17,9/19  1.1-3, topology 
第3週
9/24,9/26  pi-lambda theorem, 1.4-7; 2.1 Independence
 
第4週
10/01,10/03  2.2, 2.3 
第5週
10/08,10/10  2.3-4; Holiday 
第6週
10/15,10/17  2.4-5 
第7週
10/22,10/24  2.5,  
第8週
10/29,10/31  2.1 Kolmogorov extension theorem, examples 
第9週
11/05,11/07  Midterm: Week 1-8; 3.2 
第10週
11/12,11/14  Self-study 
第11週
11/19,11/21  3.2 
第13週
12/03,12/05  4.1 
第17週
12/31,1/02  Final; 溫書