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
-
Discrete time Markov chains
-
Poisson processes
-
Continuous time Markov chains
-
Renewal processes
Course information
- Course No.: 11110CS 529100
- Credit: 3
- Time: T6 T7 F6
- URL