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Nota general:
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1. Basic simulation modeling. 2. Modeling complex systems. 3. Simulation software. 4. Review of basic probability and statistics. 5. Building valid, credible, and appropriately detailed simulation models. 6. Selecting input probability distributions. 7. Random-number generators. 8. Generating random variates. 9. Output data analysis for a single system. 10. Comparing alternative system configurations. 11. Variance-reduction techniques. 12. Experimental desing and optimization. 13. Simulation of manufacturing systems
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