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
Introduction: Your Quick Start Guide
Welcome to the fascinating world of modelling and simulation! This glossary is designed to give you a quick and clear guide to the most important terms you’ll encounter. Understanding these core concepts is the first step toward confidently exploring how we can represent and analyze the world around us.