In today's course, we revisited the tests of uniformity and independence necessary for random-number generation. We also started to formally introduce inverse-transform sampling. We will cover the discrete versions of inverse-transform sampling at the start of the next lecture.

This lecture gives an overview of the process of input modeling and drills down into considerations that should be taken during the data collection process.

This lecture is intended as a midterm review, but much of the content covered goes over inverse-transform sampling (both continuous and discrete). During the lecture, questions were answered that involved whiteboard work. That whiteboard work was captured electronically in the two following images.

In this lecture, we review our motivation to build probabilistic models as input models for stochastic simulation. We then cover some basic probabilistic models that anyone working in stochastic simulation should be familiar with as options for basic input models.

Today's lecture covers the basics of probability (including introduction to measure spaces) and random variables. We also go over some results from Lab 3.

Today's lecture covered basic OR models that can be studied using a spreadsheet (simple queues, inventory management, and Monte Carlo simulation methodology). It hopefully provided motivation for using more sophisticated, specialized tools for modeling of more complex systems.

The lecture today also included slides commenting on Lab 2, a hand-simulation that also allowed for discussion of the need for experimental replication and good statistical methods.

Today, we cover the steps of hand-simulating a DES simulation model (which we missed in the previous lecture) and go over an example similar to the homework of hand simulating a single-server queueing system.

Due to unavoidable delays in arriving to class and some technical problems with the classroom equipment, this lecture is a little shorter than usual. We will pick up where we left off in Lecture B2 in two days.

Unfortunately, the video for this lecture cut off early. However, the audio continues through the whole lecture.