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Lecture B2 (2026-09-03): Discrete-Event Simulation Examples, Part I episode artwork

Sep 3, 2026

Lecture B2 (2026-09-03): Discrete-Event Simulation Examples, Part I

from IEE 475: Simulating Stochastic Systems Hosted by Theodore P. Pavlic

In this lecture, we cover fundamentals of discrete-event system (DES) simulation (DESS). This involves reviewing basic simulation concepts (entities, resources, attributes, events, activities, delays) and introducing the event-scheduling world view, which provides a causality framework on which an automatic simulation of a DES system can be built. We also discuss briefly how the stochastic modeling inherent to DESS means that outputs will be variable and thus will require rigorous statistics to make sense of.

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Lecture B2 (2026-09-03): Discrete-Event Simulation Examples, Part I

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