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Introduction to Complexity Science に戻る

南洋理工大学、シンガポール(Nanyang Technological University, Singapore) による Introduction to Complexity Science の受講者のレビューおよびフィードバック


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....



Introduction to Complexity Science: 1 - 2 / 2 レビュー

by Jeremiah Y J J


The course provides an easy approach to a laymen to being exposed to the study of complexity science. This broadens and opens up insights to learning.

by Marcos B


The course videos are very good, although some of them are taken from live classes and not made for the course, the jupyter notebooks activities are a big plus (you need to know python to work with them). Unfortunately, there is little connection between theory and practice, there is no graded task to perform and the final exam quiz has no feedback, you don´t get to know what you answered wrong (maybe a bug, it seems to score always 75% matter what you answer).