Download EMIS XXXX TITLEOFCOURSE

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Human performance modeling wikipedia, lookup

IBM TPNS wikipedia, lookup

Aggregate Level Simulation Protocol wikipedia, lookup

Transcript
EMIS 7361. COMPUTER SIMULATION TECHNIQUES
Catalog Description Introduction to the design and analysis of discrete probabilistic
systems using simulation. Emphasizes model construction and a
simulation language. Prerequisites: Programming ability,
introduction to probability or statistics.
Prerequisites
Programming ability, introduction to probability or statistics.
Textbook(s)
Harrel, Ghosh, & Boden, Simulation Using ProModel, McGrawHill Publishing
Coordinator
Richard S. Barr
Goals
To (1) learn to build and analyze various types of simulation
models; (2) learn to use ProModel software; (3) gain an
understanding of when to use simulation as a problem-solving tool;
and (4) learn to design a simulation experiment and to analyze the
results of the simulation runs.
Topics Covered
1.
2.
3.
4.
5.
Prepared by:
Overview of Simulation
Building simulation models
Example of model and manual simulation
Network modeling with ProModel (basic, advanced)
Statistical concerns in simulation
 Estimation
 Number and length of runs required
 Selection of “random numbers”
 Variance-reduction techniques
 Model verification and validation
 Design of simulation experiments
Date: