機率論
Probability Theory
學期
114-1
學分
3
學分
當期課號
516709
永久課號
SCMA10016
開課單位
應用數學系
授課教師
方向
校區
光復
類別
必修
上課時間表
| 節 | 週一 | 週三 |
|---|---|---|
2 09:00–09:50 | 機率論 SA320 | |
3 10:10–11:00 | 機率論 SA320 2 節連堂 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
1. Events and their probabilities 2. Random variables and their distributions 3. Discrete random variables 4. Continuous random variables 5. Generating functions and applications 6. Introduction to random processes
先修科目
Calculus
教學方式
will be provided in class
評分方式
Homework: 30% Quiz: 30% Two Midterm Exams: 40% (with 20% each) Extra 10% for reporting
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | events and their probability |
| 第 2 週 | events and their probability |
| 第 3 週 | random variables and their distributions |
| 第 4 週 | random variables and their distributions |
| 第 5 週 | random variables and their distributions |
| 第 6 週 | discrete random variables |
| 第 7 週 | discrete random variables |
| 第 8 週 | discrete random variables |
| 第 9 週 | continuous random variables |
| 第 10 週 | continuous random variables |
| 第 11 週 | continuous random variables |
| 第 12 週 | generating functions and applications |
| 第 13 週 | generating functions and applications |
| 第 14 週 | generating functions and applications |
| 第 15 週 | Introduction to random processes |
| 第 16 週 | 彈性內容 |
教科書
1. G. Grimmett and D. Stirzaker, Probability and random processes (4th edition, 2020) 2. 2012 Utah lectures by D. Khoshnevisan & F. Rassoul-Agha (free online) 3. J. K. Blitzstein & J. Hwang, Introduction to Probability (2nd ed, 2019)
Office Hours
- 地點
- SA 320
- 時間
- By appointment
- 聯絡方式
- xfang@nycu.edu.tw