People Innovation Excellence
 

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:

  1. Introduction to Simulation;
  2. Discrete-Event Simulation;
  3. Statistical Models in Simulation;
  4. Random-Number Generation;
  5. Random-Variates Generation :Inverse Transform Technique;
  6. Random-Variates Generation :Acceptance-Rejection Technique;
  7. Input Modelling;
  8. Multivariate and Time-Series Input Models;
  9. Verification, Calibration, and Validation;
  10. Estimation of Absolute Performance;
  11. Estimating of Relative Performance

 


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