Model Thinking: Essential Tools for Complex World
Learn diverse models to understand complex systems, make better decisions, and improve strategic thinking.
Learn diverse models to understand complex systems, make better decisions, and improve strategic thinking.
This course offers a comprehensive introduction to model thinking, providing learners with a toolkit of models to better understand complex phenomena in the world. Taught by Scott E. Page, it covers a wide range of topics including tipping points, economic growth, diversity in innovation, and decision-making models. The course emphasizes how models can improve our ability to organize information, make accurate forecasts, and adopt effective strategies. Through 12 modules, students will explore various modeling techniques, from basic concepts to advanced applications in social sciences, economics, and strategic thinking. The course is designed to enhance analytical skills applicable in various fields and real-world scenarios.
4.8
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English
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What you'll learn
Understand how models improve thinking and decision-making
Learn to apply a variety of models to complex real-world situations
Develop skills in data analysis and interpretation using model frameworks
Gain insights into economic growth, innovation, and social phenomena
Explore network theory and its applications in various fields
Understand game theory and its relevance in strategic decision-making
Skills you'll gain
This course includes:
18.8 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 12 modules in this course
This course provides a comprehensive introduction to model thinking, equipping learners with a diverse set of models to understand complex systems and phenomena. It covers a wide range of topics including aggregation, decision models, tipping points, economic growth, diversity and innovation, network theory, and game theory. The course emphasizes the practical application of these models in various fields such as economics, political science, business, and sociology. Through a combination of theoretical concepts and real-world examples, students will learn how to use models to organize information, make predictions, and develop effective strategies. The course also explores advanced topics like Lyapunov functions, path dependence, and mechanism design, providing a solid foundation for further study in social sciences and data analysis.
Why Model & Segregation/Peer Effects
Module 1 · 3 Hours to complete
Aggregation & Decision Models
Module 2 · 2 Hours to complete
Thinking Electrons: Modeling People & Categorical and Linear Models
Module 3 · 2 Hours to complete
Tipping Points & Economic Growth
Module 4 · 2 Hours to complete
Diversity and Innovation & Markov Processes
Module 5 · 2 Hours to complete
Midterm Exam
Module 6 · 30 Minutes to complete
Lyapunov Functions & Coordination and Culture
Module 7 · 2 Hours to complete
Path Dependence & Networks
Module 8 · 2 Hours to complete
Randomness and Random Walks & Colonel Blotto
Module 9 · 1 Hours to complete
Prisoners' Dilemma and Collective Action & Mechanism Design
Module 10 · 2 Hours to complete
Learning Models: Replicator Dynamics & Prediction and the Many Model Thinker
Module 11 · 1 Hours to complete
Final Exam
Module 12 · 50 Minutes to complete
Fee Structure
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Instructor
Expert in Complex Systems and Diversity
Scott E. Page is the John Seely Brown Distinguished University Professor at the University of Michigan, where he specializes in complex systems, political science, and economics. He directs the Center for the Study of Complex Systems and is an external faculty member of the Santa Fe Institute. Dr. Page has received numerous accolades for his teaching and research, including election to the American Academy of Arts and Sciences in 2011. His scholarly work spans various disciplines, focusing on the role of diversity in enhancing collective intelligence and improving decision-making within complex social systems.Dr. Page is the author of several influential books, including The Model Thinker and The Diversity Bonus, which explore how diverse groups can outperform homogeneous ones in problem-solving contexts. His online course "Model Thinking" has attracted over a million participants, reflecting his commitment to making complex concepts accessible to a broader audience. Through his research and public speaking engagements, he aims to illuminate the intricate dynamics of social systems and promote the benefits of diversity in fostering innovation and resilience.
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4.8 course rating
2,220 ratings
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