- Level Foundation
- Duration 17 hours
- Course by Nanyang Technological University, Singapore
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Offered by
About
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.Modules
Programme Overview
4
Readings
- Course Overview
- Your Instructors
- Course Structure
- Code of Conduct
Week 1 Reference Slides
1
Readings
- Reference Slides for Videos by Professor Stephen Lansing
Week 1 Video Lectures
8
Videos
- Introduction to Complex Systems (Part I) - Professor Stephen Lansing
- What Is a Complex System? - Professor Peter Sloot
- Scientific Progress of Complexity Science - Professor Peter Sloot
- Introduction to Complex Systems (Part II) - Professor Stephen Lansing
- Difference between Chaos and Complexity - Professor Peter Sloot
- The Behaviour of Scale-free Network - Professor Peter Sloot
- Introduction to Complex Systems (Part III) - Professor Stephen Lansing
- Complex Systems in Society: Pandemic & Crime - Professor Peter Sloot
Week 1 Tutorials
2
Labs
- Nagel-Schreckenberg Model of Vehicular Traffic
- Game of Life
Reference Slides
1
Readings
- Reference Slides for Videos by Professor Stephen Lansing
Video Lectures
6
Videos
- Robustness, Resilience and Sustainability (Part I) - Professor Stephen Lansing
- Prisoner’s Dilemma - Professor Brian Arthur
- Robustness, Resilience and Sustainability (Part II) - Professor Stephen Lansing
- Islands of Order: Introduction of the Bali Subak System Model - Professor Stephen Lansing
- Robustness, Resilience and Sustainability (Part III) - Professor Stephen Lansing
- Design and Control of Swarm Dynamics - Professor Design and Control of Swarm Dynamics
Reference Slides
1
Readings
- Reference Slides for Videos by Professor Stephen Lansing
Video Lectures
10
Videos
- Regime Shifts and Tipping Points (Part I) - Professor Stephen Lansing
- Tipping Point Definition & Criticality - Assoc. Prof. Cheong Siew Ann
- Regime Shifts and Tipping Points (Part II) - Professor Stephen Lansing
- Landau Theory - Assoc. Prof. Cheong Siew Ann
- Regime Shifts and Tipping Points (Part III) - Professor Stephen Lansing
- Early Warnings - Assoc. Prof. Cheong Siew Ann
- Regime Shifts and Tipping Points (Part IV) - Professor Stephen Lansing
- Universal Forecasting - Assoc. Prof. Cheong Siew Ann
- Regime Shifts and Tipping Points (Part V) - Professor Stephen Lansing
- Quantitative Forecasting - Assoc. Prof. Cheong Siew Ann
Reference Slides
1
Readings
- Reference Slides for Videos by Professor Stephen Lansing
Video Lectures
3
Videos
- What is ABM - Professor Stephen Lansing
- How to Validate and Calibrate ABM? - Professor Stephen Lansing
- ABM for Policy Assessment - Professor Stephen Lansing
Tutorials
1
Labs
- Schelling’s Segregation Model
Reference Slides
1
Readings
- Reference Slides for Videos by Professor Stephen Lansing
Video Lectures
10
Videos
- Introduction to Static Complex Networks (Part I) - Professor Stephen Lansing
- Introduction to Complex Networks (Part I) - Professor Michael Lees
- Introduction to Complex Networks (Part II) - Professor Michael Lees
- Introduction to Static Complex Networks (Part II) - Professor Stephen Lansing
- Random Networks - Professor Michael Lees
- Introduction to Static Complex Networks (Part III) - Professor Stephen Lansing
- Examples of Scale-free Networks & BA Model - Professor Michael Lees
- Introduction to Static Complex Networks (Part IV) - Professor Stephen Lansing
- Robustness of Network - Professor Michael Lees
- Practice Session Using Python - Professor Michael Lees
Tutorials
1
Labs
- Epidemics on Complex Networks
Final Assessment
1
Assignment
- Final Assessment
Auto Summary
"Introduction to Complexity Science," offered by Coursera and taught by expert instructors, delves into the interconnected systems shaping our world, from biological to social structures. Covering resilience, robustness, sustainability, and mathematical methods like regime shifts and agent-based modeling, this foundational course spans 1020 minutes. Ideal for those seeking to understand and apply complex system analysis, it offers Starter and Professional subscription options. Perfect for learners aiming to master innovative, integrated thinking in science and engineering.

Cheong Siew Ann