System Modeling and Simulation

System Modeling and Simulation is a discipline that uses computer-based models to imitate the operations of a real-world process or system over time. As a core area of system modeling and computer science, it involves first creating an abstract representation of the system—capturing its key components, variables, and logical rules—and then running a simulation to generate data that reveals the system's dynamic behavior. This powerful technique allows analysts to understand complex interactions, predict future outcomes, and test "what-if" scenarios in a controlled, virtual environment, enabling informed decision-making without the cost or risk of experimenting on the actual system.

1. Introduction to System Modeling and Simulation
   1. Historical Development and Evolution
      1. Early Origins of Simulation
      2. Key Milestones in Simulation History
      3. Evolution of Computing and Simulation
      4. Modern Trends and Future Directions
   2. Fundamental Definitions and Terminology
      1. System Definition and Characteristics
      2. Model Definition and Purpose
      3. Simulation Definition and Scope
      4. Key Terminology and Vocabulary
   3. Applications Across Disciplines
      1. Engineering and Manufacturing
      2. Business and Economics
      3. Healthcare and Medicine
      4. Military and Defense
      5. Environmental Sciences
      6. Social Sciences
      7. Transportation and Logistics
   4. Relationship to Other Analytical Methods
      1. Mathematical Analysis
      2. Statistical Methods
      3. Operations Research Techniques
      4. Experimental Methods
      5. Optimization Approaches