In this course, the students take on the role of transport modeler and planner. Through hands-on simulation using MATSim, we explore agent-based modeling - a powerful way to simulate how people move and interact in urban environments. Working in teams, students build and test realistic transport models, experiment with policies, and evaluate their effects in virtual urban landscapes.

This course provides an introduction to programming in Java, version control, and cloud computing.

This course provides foundational programming, data science, and software engineering knowledge using Python. Through a combination of lectures, hands-on exercises, and real-world case studies related to transportation data science, participants develop practical skills and knowledge for creating simple programs to analyze datasets, implement algorithms, conduct simulations, and more.