Description
Introduction to discrete event simulation; fundamental stochastic models for networking; queueing theory; deterministic algorithms for networking; confidence intervals; introduction to network modeling. Simulation exercises including traffic monitoring, congestion, routing protocols, resource utilization and growth planning using OPNET simulation tool.
Prerequisites
- Prerequisite(s): permission of the graduate supervisor.
Conditions and arrangements
- Prerequisite(s): permission of the graduate supervisor.
- Also offered at the undergraduate level, with different requirements, as NET 4001 , for which additional credit is precluded.
Reference text in its original language
Introduction to discrete event simulation; fundamental stochastic models for networking; queueing theory; deterministic algorithms for networking; confidence intervals; introduction to network modeling. Simulation exercises including traffic monitoring, congestion, routing protocols, resource utilization and growth planning using OPNET simulation tool.
- Prerequisite(s): permission of the graduate supervisor.
- Also offered at the undergraduate level, with different requirements, as NET 4001 , for which additional credit is precluded.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/ITEC/