SYSC 4005
Discrete Simulation/Modeling
Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modeling, simulation, and problem solving using SIMSCRIPT, MODSIM, and other languages.
2020
Topics
- General Principles
- Simulation Software
- Statistical Models
- Random-Number Generation
- Random-Variate Generation
- Verification and Validation
- Performance Estimation
- Queueing Models
- Variance Reduction Techniques
Prerequisites & course information
Prerequisite(s): ECOR 1031 and ( ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502 ), or permission of the Department. Also offered at the graduate level, with different requirements, as SYSC 5001 , for which additional credit is precluded. Lectures three hours a week, laboratory one hour a week.