Modelling and Simulation
Curriculum
- 8 Sections
- 48 Lessons
- 10 Weeks
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- Introduction1
- A Beginner's Guide to Modeling and SimulationWelcome to the world of modeling and simulation, a powerful technique used to understand, analyze, and predict the behavior of complex systems. Whether it's planning a new airport terminal, testing a military strategy, or optimizing a business process, these concepts provide a way to explore the real world in a safe, virtual environment. This guide will walk you through the fundamental ideas, processes, and applications of modeling and simulation in simple, clear terms.7
- 2.11. Introduction: What Are Modeling and Simulation?
- 2.22. Why Use Modeling and Simulation? The Pros and Cons
- 2.33. The Core Process: How to Develop a Simulation Model
- 2.44. Key Concepts: The Different Types of Simulation Models
- 2.55. Getting it Right: The Importance of Verification and Validation
- 2.66. Putting it to Work: Where is Simulation Used?
- 2.77. Conclusion: Your First Step into a Virtual World
- A Beginner's Glossary of Modelling & Simulation6
- Briefing on Modelling and Simulation Principles10
- 4.1Executive Summary
- 4.21. Foundational Concepts
- 4.32. Historical Evolution of Simulation
- 4.43. The Simulation Process
- 4.54. Verification and Validation (V&V)
- 4.65. Classification of Simulation Models and Systems
- 4.76. Key Simulation Methodologies
- 4.87. Data Management and Advanced Modelling Concepts
- 4.98. Strategic Assessment: Advantages and Disadvantages
- 4.109. Application Areas
- Lecture Notes: Principles and Paradigms of Modelling & Simulation9
- 5.11.0 Introduction to the Field of Modelling & Simulation
- 5.22.0 Foundational Concepts and System Classification
- 5.33.0 The Simulation Study Lifecycle
- 5.44.0 Verification and Validation: Ensuring Model Credibility
- 5.55.0 Paradigm I: Discrete-Event System Simulation
- 5.66.0 Paradigm II: Continuous System Simulation
- 5.77.0 Paradigm III: Monte Carlo Simulation
- 5.88.0 Advanced Topics and Interdisciplinary Integration
- 5.99.0 Conclusion: Synthesizing Key Learnings and Future Directions
- A Standardized Methodology for Modelling & Simulation Projects4
- A Comparative Analysis of Simulation Methodologies: Discrete-Event, Continuous, and Monte Carlo7
- 7.11.0 Introduction to Modeling and Simulation
- 7.22.0 Foundational Concepts in System Classification
- 7.33.0 Deep Dive: Discrete-Event Simulation
- 7.44.0 Deep Dive: Continuous Simulation
- 7.55.0 Deep Dive: Monte Carlo Simulation
- 7.66.0 Comparative Synthesis and Selection Guide
- 7.77.0 Conclusion: Choosing the Right Tool for the Problem
- Study Guide: Modelling and Simulation4