Nanyang Technological University, Singapore
Introduction to Complexity Science
Nanyang Technological University, Singapore

Introduction to Complexity Science

Taught in English

Some content may not be translated

4,704 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Cheong Siew Ann

Instructor: Cheong Siew Ann

4.6

(22 reviews)

Beginner level
No prior experience required
16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

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Assessments

1 quiz

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There are 5 modules in this course

An overview of what is covered in the first topic: an introduction to complex systems, explaining how complexity science has evolved, how it has been applied in society, and why it is important to gain a basic understanding of complex systems. Like for all sciences, complexity science is not a spectators' sport. After learning models and methods from the lectures, you will need to try some of these out to develop a practical feel for what they mean and what they can do. This is where the Jupyter Notebook exercises come in. In this course week, we will try out two Jupyter Notebook exercises, on: (1) the Nagel-Schreckenberg model of vehicular traffic, and (2) the Game of Life.

What's included

8 videos5 readings2 ungraded labs1 plugin

In this 2nd topic, we look at how robustness, resilience and sustainability can be defined for complex systems, and some case studies that showcase these attributes.

What's included

6 videos1 reading

In this third topic, we move on to looking at regime shifts and tipping points and their applications in forecasting.

What's included

10 videos1 reading

Next, we look at Agent-Based Modeling - what it is, how it works, why it is used and how to use it. We then try a Jupyter Notebook exercise on Schelling’s Segregation Model.

What's included

3 videos1 reading1 ungraded lab

Lastly, we look at complex networks and their attributes before looking at different network models. We end this topic with a Jupyter Notebook exercise on epidemics on complex networks.

What's included

10 videos1 reading1 quiz1 ungraded lab

Instructor

Instructor ratings
4.4 (8 ratings)
Cheong Siew Ann
Nanyang Technological University, Singapore
1 Course4,704 learners

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4.6

22 reviews

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MA
4

Reviewed on Nov 30, 2023

JJ
5

Reviewed on May 18, 2022

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