Tuesday, September 3, 2019
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 (...
-
During this lecture, we review the topics covered up to this point in the course as preparation for the upcoming midterm exam. Students are ...
-
In this lecture, we review pseudo-random number generation and then introduce random-variate generation by way of inverse-transform sampling...
-
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 review statistical fundamentals – such as the origins of the t-test, the meaning of type-I and type-II error (and alter...
No comments:
Post a Comment