Course Title: Simulation and Modeling
Course no: CSC-302 Full Marks: 70+10+20
Credit hours: 3 Pass Marks: 28+4+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.
Goal: This course will provide students the concepts of simulation.
Course Contents:
Unit 1. Introduction to Simulation 6 Hrs.
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, Areas of
applications
Unit 2. Simulation of Continuous Systems 5 Hrs.
Queuing system, Markov chains, Differential and partial differential equations
Unit 3. Random Numbers 10 Hrs.
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 Hrs.
Model building, verification and Validation, Verification of Simulation Models,
Calibration and Validation of Models
Unit 5. Analysis of Simulation Output 8 Hrs.
Estimation methods, Simulation run statistics, Replication of runs, Elimination of
internal bias
Unit 6. Simulation Languages 10 Hrs.
Basic concept of Simulation tool, Discrete systems modeling and simulation,
Continuous systems 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.
References: G. Gorden, “System Simulation", Prentice Hall of India M. Law and R.F.
Perry, "Simulation: A problem-solving approach", Addison Wesley
publishing company.
M. Law and W.D. Kelton, “Simulation Modeling and analysis", McGraw
Hill, 1991.
Laboratory works: Laboratory exercises using simulation and modeling packages and
student also develop their own simulation software.
Course no: CSC-302 Full Marks: 70+10+20
Credit hours: 3 Pass Marks: 28+4+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.
Goal: This course will provide students the concepts of simulation.
Course Contents:
Unit 1. Introduction to Simulation 6 Hrs.
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, Areas of
applications
Unit 2. Simulation of Continuous Systems 5 Hrs.
Queuing system, Markov chains, Differential and partial differential equations
Unit 3. Random Numbers 10 Hrs.
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 Hrs.
Model building, verification and Validation, Verification of Simulation Models,
Calibration and Validation of Models
Unit 5. Analysis of Simulation Output 8 Hrs.
Estimation methods, Simulation run statistics, Replication of runs, Elimination of
internal bias
Unit 6. Simulation Languages 10 Hrs.
Basic concept of Simulation tool, Discrete systems modeling and simulation,
Continuous systems 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.
References: G. Gorden, “System Simulation", Prentice Hall of India M. Law and R.F.
Perry, "Simulation: A problem-solving approach", Addison Wesley
publishing company.
M. Law and W.D. Kelton, “Simulation Modeling and analysis", McGraw
Hill, 1991.
Laboratory works: Laboratory exercises using simulation and modeling packages and
student also develop their own simulation software.
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