This course covers modeling of discrete-event dynamic systems and introduces simulation-based methods for using these models to solve engineering design and analysis problems.
This course is not foundational and does not count toward any specializations at present, but it can be counted as a free elective.
- Learn how to develop simulation models and conduct simulation studies.
- Become familiar with the organization of simulation languages. We will do a great deal of modeling with Arena, a comprehensive simulation package with animation capabilities.
- Review statistical aspects including input analysis, random variate generation, output analysis, and variance reduction techniques.
Note: Sample syllabi are provided for informational purposes only. For the most up-to-date information, consult the official course documentation.
Before Taking This Class...
Suggested Background Knowledge
You will be expected to come in knowing a bit of basic calculus, probability, and statistics. But do not worry too much – we will provide bootcamps on that material so as to make the class pretty much self-contained. In addition, this course will involve extensive computer programming, so it would be nice to have at least a little experience in something like Excel, just to bring back the programming memories.
Technical Requirements and Software
- Internet connection (DSL, LAN, or cable connection desirable)
- R statistical software (free download; see cran.r-project.org)
- Arena simulation software (free student download; see www.arenasimulation.com/academic/students)
- Adobe Acrobat PDF reader (free download; see https://get.adobe.com/reader/)
All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code. This course may impose additional academic integrity stipulations; consult the official course documentation for more information.