排隊理論
Queuing Theory
| 節 | 週三 |
|---|---|
A 18:30–19:20 | 排隊理論 ED220（光復） 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
1. 教授排隊理論及在通訊網路的應用。 2. 介紹馬可夫決策過程與強化學習。
1. Calculus-based Probability 2. Signals and Systems (Laplace-transform, Z-transform)
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教師未提供此項資料
1. 期中考 (50%) 2. 期末考 (50%)
Discrete-Time Markov Chain and Continuous-Time Markov Chain
Basic Queueing Theory (M/M/1, M/M/K/K and etc.)
Renewal Theory and Its Applications
Advanced Queueing Theory (M/G/1, G/M/1 and etc.)
Computer Simulation Methods for Queueing Systems in Computer and Wireless Networks (simulating continuous random variables, Poisson processes and etc.)
An Introduction to Queueing Networks
An introduction to Markov Decision Processes and Reinforcement Learning
| 週次 | 主題 |
|---|---|
| 第 1 週 | Discrete-Time Markov Chains |
| 第 2 週 | Discrete-Time Markov Chains |
| 第 3 週 | Continuous-Time Markov Chains |
| 第 4 週 | Continuous-Time Markov Chains |
| 第 5 週 | Basic Queueing Systems (M/M/1) |
| 第 6 週 | Basic Queueing Systems (M/M/c/c, M/M/infinity and etc.) |
| 第 7 週 | Renewal Theory and Its Applications |
| 第 8 週 | Renewal Theory and Its Applications |
| 第 9 週 | Midterm Exam |
| 第 10 週 | Renewal Theory and Its Applications |
| 第 11 週 | Advanced Queueing Theory (M/G/1) |
| 第 12 週 | Advanced Queueing Theory (M/G/1) |
| 第 13 週 | Advanced Queueing Theory (G/M/1) |
| 第 14 週 | Feedforward Queueing Networks |
| 第 15 週 | Jackson Queuing Networks |
| 第 16 週 | An Introduction to Markov Decision Processes and Reinforcement Learning |
| 第 17 週 | An Introduction to Markov Decision Processes and Reinforcement Learning |
| 第 18 週 | Final Exam |
1. Donald Gross, Fundamentals of Queueing Theory, 4th Edition, 2009, Wiley Publication. 2. Sheldon Ross, Introduction to Probability Models, 11th Edition, 2014, Academic Press.
- 地點
- ED730
- 時間
- 3EF
- 聯絡方式
- runghunggau@g2.nctu.edu.tw