機率(英文班)
Probability
| 節 | 週二 | 週五 |
|---|---|---|
2 09:00–09:50 | 機率(英文班) ED103(光復) | |
5 13:20–14:10 | 機率(英文班) ED103(光復) 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Teach the theory and applications of calculus-based probability theory. Applications of probability theory include but are not limited to wireless communication systems, computer networking, and machine learning.
calculus, linear algebra.
無備註
Lectures.
Homework and in-class performance: 20% First Midterm Exam (April 17, 2018): 25% Second Midterm Exam (May 22, 2018): 25% Final Exam (June 19, 2018): 30%
Sample Space and Probability
Chapter 1
Discrete Random Variables
Chapter 2
Continuous and General Random Variables
Chapter 3
Further Topics on Random Variables
Chapter 4
Limit Theorems
Chapter 5
The Poisson Processes
6.2 The Poisson process.
An Introduction to Discrete-Time Markov Chains
7.1 Discrete-Time Markov Chains. 7.3 Steady-state behavior.
教師未提供此項資料
Introduction to Probability, 2nd Edition, D. P. Bertsekas and J. N. Ysitsiklis, Athena Scientific, 2008.
- 地點
- ED730
- 時間
- 3EF
- 聯絡方式
- Email: runghunggau@g2.nctu.edu.tw
