Week | Topics | Study Materials | Materials |
1 |
Concepts of System, Model, and Simulation
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2 |
The purpose of a simulation, its advantages and disadvantages, application
areas, types of simulation
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3 |
Monte Carlo simulation, Continuous system simulation, Discrete event simulation, Simulation clock, Time advance mechanisms
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4 |
Monte Carlo simulation, Continuous system simulation, Discrete event simulation, Simulation clock, Time advance mechanisms
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5 |
Random Numbers, Random Number Generators
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6 |
Middle-square method, LCG, Inverse Transform, Convolution, Composition, Acceptance-rejection,
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7 |
Mid- term exam
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8 |
Middle-square method, LCG, Inverse Transform, Convolution, Composition, Acceptance-rejection (Con’t)
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9 |
Generate Random Numbers from some discrete probability distribution
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10 |
Generate Random Numbers from some continuous probability distributions
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11 |
Data collection, Identifying the distribution with data, MLE, Goodness-of-fit tests (Chi-Square Test, Kolmogorov-Smirnov test), Arrival process
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12 |
Input Modeling
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13 |
Basic concepts, Verification techniques, Calibration and validation of models
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14 |
Output Modeling
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15 |
Discussion
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16 |
Final
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