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The Series Finale of Online Education: Coursera Acquires Udemy

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Game Theory II- Dynamic Games
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This tutorial is the second part of of Dr. Justin Grana's tutorial on game theory
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Introduction to Computation Theory
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Students will examine the formal mathematics for foundational computation proofs, as well as gain tools to analyze hard computational problems themselves.
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Introduction to Complexity

Explore tools for understanding complex systems, including dynamics, chaos, fractals, and networks. Learn how complexity arises in nature, society, and technology through hands-on approaches.
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Agent-Based Models with Python: An Introduction to Mesa

Learn to create agent-based models using Python and Mesa, exploring complex systems through the Sugarscape with Traders model. Gain hands-on experience with Google Colab and advanced modeling techniques.
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Introduction to Dynamical Systems and Chaos

Explore dynamical systems, chaos theory, and complex systems. Learn about bifurcations, butterfly effect, strange attractors, and pattern formation. Gain insights into predictability and complexity in nature.
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Lecture: Artificial Intelligence

Explore AI's current state, predictions, and limitations with Dr. Melanie Mitchell. Learn about machine learning approaches and the challenges in developing truly intelligent AI systems.
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Origins of Life

Explore the interdisciplinary field of Origins of Life research, examining chemical, geological, physical, and biological principles to understand how life emerged from an abiotic world.
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Nonlinear Dynamics: Mathematical and Computational Approaches

Explore nonlinear dynamics through mathematical and computational approaches, from chaotic systems to real-world applications. Master numerical solutions, time-series analysis, and practical implementations using programming.
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Lecture: Pandemics

Explore influenza mitigation strategies and pandemic forecasting, covering epidemiology concepts and network effects on disease spread. Learn from expert Dr. Lauren Ancel Meyers.
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Computation in Complex Systems

Explore computational complexity from polynomial-time algorithms to NP-complete problems and undecidable challenges, bridging computer science with physics and biology applications.
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Fractals and Scaling

Explore fractals, scaling, and power laws in natural and social systems. Learn to calculate fractal dimensions, analyze power law distributions, and examine applications in metabolic and urban scaling.
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Music Computation and Complexity

Explore music through a computational lens, understanding its complexity as a cognitive, cultural, and social agent that has shaped human societies for millennia. Learn to design compositional models using Python.
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Introduction to Open Science

Introduction to Open Science practices for reproducible, transparent, and inclusive research across the entire research cycle, from preregistration to publication and data sharing.
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A Visual Approach to Nonlinear Dynamics

Discover how simple rules create complex behaviors through animated visuals exploring fixed points, bifurcations, chaos, and strange attractors in physical and biological systems.
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Lecture: What is Complexity?

Explore the concept of complexity with SFI President David Krakauer, delving into the evolution of intelligence and information processing mechanisms across genetic, neural, linguistic, social, and cultural domains.
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