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Computer Science
System Modeling
System Modeling and Simulation
1. Introduction to System Modeling and Simulation
2. System Theory Fundamentals
3. Model Theory and Concepts
4. Simulation Fundamentals
5. The Simulation Study Methodology
6. Discrete-Event Simulation
7. Continuous Simulation
8. System Dynamics
9. Agent-Based Modeling
10. Monte Carlo Simulation
11. Hybrid and Multi-Paradigm Simulation
12. Input Modeling and Data Analysis
13. Random Number and Variate Generation
14. Model Verification and Validation
15. Output Analysis and Statistical Methods
16. Experimental Design for Simulation
17. Simulation Optimization
18. Advanced Simulation Topics
19. Simulation Software and Tools
20. Visualization and Animation
21. Applications and Case Studies
22. Professional Practice and Ethics
Experimental Design for Simulation
Design of Experiments Principles
Factors and Responses
Experimental Units
Randomization
Replication
Blocking
Factorial Designs
Full Factorial Designs
Fractional Factorial Designs
Two-Level Designs
Multi-Level Designs
Response Surface Methodology
First-Order Models
Second-Order Models
Central Composite Designs
Box-Behnken Designs
Screening Designs
Plackett-Burman Designs
Definitive Screening Designs
Sequential Screening
Space-Filling Designs
Latin Hypercube Designs
Orthogonal Arrays
Uniform Designs
Sequential Experimentation
Adaptive Designs
Sequential Screening
Response Surface Exploration
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15. Output Analysis and Statistical Methods
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17. Simulation Optimization