INDENG 174
Simulation for Enterprise-Scale Systems
Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. Topics include the types of problems that can be solved by such methods. Programming material includes the theory behind random variable generation for a variety of common variables. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. Student teams implement an enterprise-scale simulation in a semester-length design project.
Topics
- • Introduce students to modern techniques for developing computer simulations of stochastic discrete-event models and experimenting with such models to better design and operate dynamic systems. • Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. • Teach students how to model random processes and experiment with simulated systems. • Insure students become familiar with the fundamental similarities and differences among simulation software packages. • Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. • Have students communicate their ideas and solutions effectively in written reports. • Exposure students to state-of-art advanced simulation techniques. • Note: the course is a mixture of modeling art, analytical science, and computational technology.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027