Modeling and Simulation of Complex Systems
( 24 Modules )

Module #1
Introduction to Complex Systems
Defining complex systems, importance, and applications

Module #2
Fundamentals of Modeling
Types of models, modeling paradigms, and model validation

Module #3
Simulation Fundamentals
Types of simulation, simulation languages, and simulation methodologies

Module #4
System Thinking and Dynamics
System thinking principles, system dynamics, and causal loop diagrams

Module #5
Stock and Flow Modeling
Introduction to stock and flow modeling, diagramming, and analysis

Module #6
System Modeling Languages
Introduction to system modeling languages (e.g., SysML, Modelica)

Module #7
Agent-Based Modeling
Introduction to agent-based modeling, agent behavior, and emergent phenomena

Module #8
Network Modeling
Introduction to network modeling, graph theory, and network analysis

Module #9
Simulation Software and Tools
Overview of simulation software and tools (e.g., NetLogo, AnyLogic, MATLAB)

Module #10
Modeling Complex Systems:Case Studies
Real-world examples of modeling complex systems (e.g., epidemiology, traffic flow)

Module #11
Uncertainty and Sensitivity Analysis
Understanding uncertainty, sensitivity analysis, and uncertainty quantification

Module #12
Verification and Validation
Verification and validation of models, testing, and validation methodologies

Module #13
Model Calibration and Optimization
Calibrating models, optimization techniques, and model fitting

Module #14
Data-Driven Modeling
Using data to drive modeling, machine learning, and hybrid approaches

Module #15
Simulation-Based Optimization
Using simulation for optimization, response surface methodology, and surrogate-based optimization

Module #16
Multi-Paradigm Modeling
Combining modeling paradigms, multi-disciplinary modeling, and hybrid modeling

Module #17
High-Performance Computing for Simulation
Distributed computing, parallel processing, and high-performance computing for simulation

Module #18
Visualizing Complex Systems
Data visualization, visualization tools, and communication of complex systems insights

Module #19
Model-Based Decision Making
Using models for decision making, decision analysis, and policy evaluation

Module #20
Modeling Complex Systems in Domain-Specific Areas
Modeling complex systems in specific domains (e.g., healthcare, finance, energy)

Module #21
Interdisciplinary Modeling and Simulation
Collaborative modeling, interdisciplinary approaches, and team-based modeling

Module #22
Best Practices and Standards for Modeling and Simulation
Best practices, standards, and guidelines for modeling and simulation

Module #23
Future Directions in Modeling and Simulation
Emerging trends, challenges, and future directions in modeling and simulation

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Modeling and Simulation of Complex Systems career

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Modeling and Simulation of Complex Systems ( 24 Modules )

Modeling and Simulation of Complex Systems
( 24 Modules )