SIMULATION TECHNIQUES (2 Credits)
Learning Outcomes:
On successful completion of this Course, students will be able to:Explain the simulation techniques and this concept for statistical analysis; Demonstrate the random variable generation; Demonstrate the input modelling and estimation; Apply the modelling logic in programming language.
Topics:
- Introduction to Simulation;
- Discrete-Event Simulation;
- Statistical Models in Simulation;
- Random-Number Generation;
- Random-Variates Generation :Inverse Transform Technique;
- Random-Variates Generation :Acceptance-Rejection Technique;
- Input Modelling;
- Multivariate and Time-Series Input Models;
- Verification, Calibration, and Validation;
- Estimation of Absolute Performance;
- Estimating of Relative Performance
SOCIAL MEDIA
Let’s relentlessly connected and get caught up each other.
Looking for tweets ...