In this lecture, we review modeling basics for process-centric modeling (entities, resources, events, activities, delays, etc.) and then introduce the event-scheduling world view that acts behind the scenes in any discrete event system (DES) simulation. We begin discussing hand simulation of DESS, at least in the abstract. More concrete examples are to come in the next lecture.
Archived lectures from undergraduate course on stochastic simulation given at Arizona State University by Ted Pavlic
Tuesday, August 31, 2021
Thursday, August 26, 2021
Lecture A2 (2021-08-26): Introduction to Simulation Modeling
In this lecture, we pivot from our general introduction to (quantitative) modeling to a more specific introduction of simulation modeling. System dynamics modeling (SDM), agent-based modeling (ABM), and discrete event system (DES) simulation are introduced, with the most detail on DES that will be the focus for the course. We then motivate the approach of "stochastic modeling" -- using randomness in these models in place of deterministic details.
Tuesday, August 24, 2021
Lecture A1 (2021-08-24): Introduction to Modeling
In this lecture, we introduce the basic motivations for quantitative modeling -- including fundamental definitions of what is a model. This definition is meant to cover all models -- from fashion models to mouse models to statistical models to simulation models.
Thursday, August 19, 2021
Lecture 0 (2021-08-19): Introduction to the Course and Its Policies
Recorded day-1 lecture of IEE 475 (Simulating Stochastic Systems) in the Fall 2021 semester. Introduces course and its policies. Audio is poor due to microphone support in room.
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