Advance your urban expertise on cutting-edge modeling techniques. This hands-on course introduces agent-based modelling (ABM) as a powerful tool for simulating and understanding urban development patterns in the age of AI and digital twins.
What You'll Learn
You'll gain practical knowledge of ABM principles and their application to urban futures modeling. Through interactive sessions, you'll learn to evaluate when ABMs are the right modeling approach for specific contexts. You'll explore how key variables influence ABM outcomes and develop critical thinking skills to assess both the opportunities and limitations of this methodology.
Who Should Enroll
Whether you're working in urban planning, policy, research, or related fields, this course helps you enhance your technical toolkit with state-of-the-art modeling methods. If you're looking to understand the modeling techniques behind ABMs, this course bridges theory and practice.
Course Approach
Expect a hands-on learning experience that moves beyond abstract concepts. You'll work with simple ABM models to gain an intuitive understanding of urban growth dynamics, preparing you to engage confidently with advanced modeling techniques in contemporary practice.
Course content
Learning outcomes
After this course, you will be able to:
- Recognize the principles of an agent-based model
- Evaluate whether an agent-based model fits to modelling urban futures in a specific application context
- Identify the effects of key variables on the outcomes of a simple ABM modelling urban future layouts
- Reflect on the opportunities and challenges when modelling urban futures with ABMs