Lecture A2 (2026-08-27): Introduction to Simulation Modeling

In this lecture, we introduce the three different simulation methodologies (agent-based modeling, system dynamics modeling, and discrete event system simulation) and then focus on how stochastic modeling is used within discrete-event system simulation. In particular, we define terms such as system, dynamic system, state, state variable, activity, delay, resource, entity, and the notion of "input modeling."

Lecture A1 (2026-08-25): Introduction to Modeling

In this lecture, we introduce Industrial and Systems Engineering as a blend of science and engineering that necessitates model building. We then define model (as something that answers a "What If" question) and different types of models. This gives us an opportunity to discuss how modeling is less about describing reality and more about generating tools to do useful things/make useful predictions. We end with a comparison of mental and quantitative models, as well as a comparison of different types of quantitative models (including simulation modeling).

Lecture 0 (2026-08-20): Introduction to the Course and Its Policies

This short lecture introduces the IEE 475 course (Simulating Stochastic Systems) for the Fall 2026 semester. Due to issues with the projector and the camera in the room, the video feed only shows the slides that are being shared (but there is audio that narrates them, and any pointing to the slides is done with a pointer reflected on the video). Future videos this semester will be of higher quality.