In this lecture, we introduce the three different kinds of simulation modeling (system dynamics modeling, agent-based modeling, and discrete event system simulation) and how they differ in the kinds of questions they help answer, the way they are programmed, and the computational resources that they require. We then introduce the fundamental concepts required for discrete event system modeling and start to discuss aspects of stochastic simulation and input modeling.
Archived lectures from undergraduate course on stochastic simulation given at Arizona State University by Ted Pavlic
Thursday, August 27, 2020
Lecture A2 (2020-08-27): Introduction to Simulation Modeling
Labels:
podcast
Location:
Tempe, AZ, USA
Subscribe to:
Post Comments (Atom)
Popular Posts
-
This lecture introduces students to IEE 475 (Simulating Stochastic Systems), a required course for Industrial Engineering majors that covers...
-
In this lecture, we introduce the measure-theoretic concept of a random variable (which is neither random nor a variable) and related terms,...
-
This lecture covers content related to implementing simulations with spreadsheets and the motivations for the use of special-purpose Discret...
-
In this lecture, we introduce the three different simulation methodologies (agent-based modeling, system dynamics modeling, and discrete eve...
-
This lecture provides some historical background and motivation for System Dynamics Modeling (SDM) and Agent-Based Modeling (ABM), two other...
-
In this lecture, we cover fundamentals of discrete-event system (DES) simulation (DESS). This involves reviewing basic simulation concepts (...
-
In this lecture, we first cover some discrete distributions (and the Poisson process) that we ran out of time for during the previous lectur...
-
In this lecture, we introduce Industrial and Systems Engineering as a blend of science and engineering that necessitates model building. We ...
-
In this lecture, we review statistical fundamentals – such as the origins of the t-test, the meaning of type-I and type-II error (and alter...
-
In this lecture, we review basic probability fundamentals (measure spaces, probability measures, random variables, probability density funct...
No comments:
Post a Comment