網路之隨機程序 Stochastic Processes for Networking, 2022 Fall

Introduction

This course will cover the fundamental theory of random processes with emphasis on applications to a variety of networks. This is a basic yet important course for students pursuing studies in these fields.

Textbook

Sheldon M. Ross, "Introduction to Probability Models" 12th Edition

Topics Covered

1. Discrete time Markov chains
2. Poisson processes
3. Continuous time Markov chains
4. Renewal processes