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Networks Theory
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Engineering
Instruction in: English
Course Code: 13417
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: - Algebra and Calculus fundamentals
- Basic knowledge of probability and statistics
- Basic knowledge of communication networks
- Programming
DESCRIPTION
The contents are divided as follows:
1. Introduction to performance analysis of communication protocols and networks, as well as simulation tools. Review of fundamental probability, the exponential random variable, and Poisson arrival processes.
2. Markov Chain: discrete-time and continuous-time. Use of MC as a modeling tool.
3. Birth and Death process as a particular case of Markov Chain. Basic queueing theory.
4. Introduction to the analysis of networks of queues, advanced systems, and dimensioning and optimization.
1. Introduction to performance analysis of communication protocols and networks, as well as simulation tools. Review of fundamental probability, the exponential random variable, and Poisson arrival processes.
2. Markov Chain: discrete-time and continuous-time. Use of MC as a modeling tool.
3. Birth and Death process as a particular case of Markov Chain. Basic queueing theory.
4. Introduction to the analysis of networks of queues, advanced systems, and dimensioning and optimization.
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