Course Title: Simulation and modeling


Course no: 302                                                          Full marks: 60+ 20+20
Credit hours: 3                                                         Pass marks: 24+8+8
Nature of course: theory (3 Hrs) + Lab (3 Hrs)
Course Synopsis: This course provides the discrete and continuous system, generation of random variables, analysis of simulation output and simulation languages.

Unit 1: Introduction to Simulation                                                                  6 Hours
Continuous and discrete systems, system simulation, real time simulation, types of simulation models, steps in simulation study, phases of a simulation study, advantages of simulation, limitations of the simulation technique, area of applications.

Unit 2: Simulation of Continuous System                                                     5 Hours
Queuing system, Markov chains, Differential partial equations

Unit 3: Random Numbers                                                                                       10 Hours
Random numbers, random number tables, pseudo random numbers, generation of random number, testing numbers for randomness, uniformity test, chi-square test, testing for auto correlation, poker test

Unit 4: Verification and Validation of Simulation Models                 6 Hours
Model building, verification and validation, verification of simulation models, calibration and validation of models

Unit 5: analysis of simulation output                                                               8 Hours
Estimation methods, simulation run statistics, replication of runs, elimination of internal bias

Unit 6: Simulation Languages                                                                              10 Hours
Basic concept of simulation tool, discrete systems modeling and simulation continuous system modeling and simulation, data and control, hybrid simulation, feedback systems: typical applications.

Text books:
Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicol “ Discrete Event system simulation” , Pearson education.


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