Introduction to Complexity Science

This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common. In the past several decades, the study of complexity science has been increasing. It is widely acknowledged that an innovative, integrated and analytical way of thinking is essential for understanding the complex issues in the human societies. In this course, we will aim to give everyone a comprehensive introduction of the complex systems, to talk about the resilience, robustness and sustainability of the systems and to learn basic mathematical methods for complex system analysis, for example regime shifts and tipping points, the agent-based modelling, the dynamic and network theories. Most importantly, we will implement the theories into practical applications of cities and health to help students gain practice in complex systems way of thinking. This course is co-developed by Associate Professor Cheong Siew Ann, Professor Stephen Lansing and Professor Peter Sloot between 2014 and 2020 at the Complexity Institute, Nanyang Technological University, Singapore

• Provide comprehensive introduction to complex systems and their resilience
• Understand basic mathematical methods like regime shifts and tipping points
• Apply agent-based modeling and network theories
• Implement theories in practical urban system applications

• No background required; basic knowledge of economics, finance, mathematics, and logic helpful