Modeling and Simulation in computer science

Chapters

1Foundations of Modeling in Computer Science

2Mathematical Foundations for Simulation

3Discrete-Event Simulation Fundamentals

4Agent-Based Modeling and Complex Systems

5System Dynamics and Continuous Modeling

6Numerical Methods and Scientific Computing for Simulation

7Stochastic Processes and Uncertainty Quantification

8Data Structures, Algorithms, and Simulation Efficiency

9Simulation Programming Languages and Frameworks

Python for Simulation Java and C++ Performance SimPy and SimEvents NetLogo and Repast OMNeT++ for Network Simulation NS-3 for Networking MATLAB/Simulink Basics R for Simulation Domain-Specific Frameworks DSLs for Simulation Debugging Simulation Models Reproducibility in Simulation Code Interfacing with External Tools Version Control for Simulation Projects Case Studies in Framework Selection

10Verification, Validation, and Experiment Design

11Performance Analysis and Optimization of Simulations

12High-Performance Computing and Parallel Simulation

13Data Management, Reproducibility, and Experiment Tracking

14Visualization and Communication of Simulation Results

15Applications and Case Studies in Modeling and Simulation

Courses/Modeling and Simulation in computer science/Simulation Programming Languages and Frameworks

Simulation Programming Languages and Frameworks

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Survey and apply mainstream languages and frameworks used to implement different simulation paradigms.

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Version Control for Simulation Projects

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