Course Title: Simulation and modeling
Course no: 302 Full marks: 60+ 20+20
Credit hours: 3 Pass marks: 24+8+8
Course contents:
Unit 1: Introduction to Simulation
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
Queuing system, Markov chains, Differential partial equations
Unit 3: Random Numbers
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
Model building, verification and validation, verification of simulation models, calibration and validation of models
Unit 5: analysis of simulation output
Estimation methods, simulation run statistics, replication of runs, elimination of internal bias
Unit 6: Simulation Languages
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.
No comments:
Post a Comment