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Agent-Based Modeling Using GAMA Platform for Beginners, From Zero to Real-World Simulation Projects.
Description
Do you want to simulate real-world systems like traffic flow, crowd behavior, or disaster evacuation?
Agent-Based Modeling (ABM) is a powerful technique used in Artificial Intelligence, Data Science, and Complex Systems to model and analyze real-world behavior.
In this beginner-friendly course, you will learn how to build simulations using the GAMA Platform, a modern and open-source modeling environment.
This course is designed for complete beginners. No programming experience is required.
You will start with the basics of Agent-Based Modeling and gradually move toward building real-world simulation projects.
By the end of this course, you will be able to design, implement, and analyze your own simulation models.
What makes this course different?
This is a hands-on course focused on building real simulations, not just theory.
You will work on projects such as:
- Classroom behavior simulation
- Map-based (GIS) simulation
- Disaster evacuation modeling
What you will learn:
- Understand Agent-Based Modeling (ABM)
- Use the GAMA Platform effectively
- Write simulation models using GAML
- Create agents, environments, and behaviors
- Visualize and analyze simulation results
- Work with real-world GIS data
- Build complete simulation projects
This course is perfect for students, researchers, and professionals who want to understand complex systems through simulation.
Whether you are in Computer Science, Data Science, or just curious about modeling real-world systems, this course will guide you step by step.
Enroll now and start building your first simulation today.
Who this course is for:
- Beginners interested in simulation and modeling
- Data Science and AI learners
- Researchers and educators
- Government planners and analysts (traffic, disaster, urban systems)
- Anyone curious about how complex systems work
