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But since 2014 he’s been responsible for maintaining an important component of the web version of Instagram.

Artificial neural networks courses are entirely excluded since they deserve a separate list (such as the one by Class Central) due to their abundance.Tobias Koppers doesn’t work for Instagram. Artificial intelligence and machine learning courses are excluded from this list unless the methods are dynamic or adaptive.Deep Reinforcement Learning – Sergey Levine, UC Berkeley.Reinforcement Learning Explained – multiple professors, Microsoft on edX.Reinforcement Learning – David Silver, University College London.Reinforcement Learning – multiple professors, Georgia Institute of Technology on Udacity.

Reinforcement Learning – Course Web – Emma Brunskill, Stanford on YouTube.Stochastic Evolution Equations – Jan van Neerven, Delft University of Technology OpenCourseWare.Modeling and Simulation of Natural Processes – multiple professors, University of Geneva on Coursera.Agent Based Modeling of Complex Adaptive Systems (Basic) – Agent Based Modeling of Complex Adaptive Systems (advanced) – Igor Nikolic and Ivo Bouwmans, Delft University of Technology OpenCourseWare.Introduction to Agent-Based Modeling – Bill Rand, North Carolina State University on Complexity Explorer.Introduction to Crystal Chemistry – multiple professors, Samara University on Canvas.The Fascination of Crystals and Symmetry – Frank Hoffmann, University of Hamburg.Emergent Phenomena in Science and Everyday Life – multiple professors, UC Irvine on Coursera.Maths for Humans: Inverse Relations and Power Laws – Norman Wildberger and Daniel Mansfield, UNSW on FutureLearn.Fractals and Scaling – David Feldman, College of the Atlantic on Complexity Explorer.Chaos – Steven Strogatz, Cornell University on.Chaos, Fractals & Dynamic Systems – S Banerjee, IIT Kharagpur on NPTEL.Nonlinear Dynamical Systems – Harish Pillai and Madhu Belur, IIT Bombay on NPTEL.Nonlinear Dynamics and Chaos – Steven Strogatz, Cornell University on YouTube.Nonlinear Dynamics 1 & 2: Geometry of Chaos – Predrag Cvitanović, Georgia Tech.Nonlinear Dynamics: Mathematical and Computational Approaches – Elizabeth Bradley, University of Colorado at Boulder on Complexity Explorer.Nonlinear Differential Equations: Order and Chaos – Paul Blanchard and Kyle Vigil, Boston University on edX.Introduction to Dynamical Systems and Chaos – David Feldman, College of the Atlantic on Complexity Explorer.

Algorithmic Information Dynamics: From Networks to Cells – Hector Zenil and Narsis Kiani, SFI on Complexity Explorer.

The Science of Information – Benjamin Schumacher, Kenyon College on.

Information Theory – Raymond Yeung, Chinese University of Hong Kong.

Information and Entropy – Paul Penfield and Seth Lloyd, MIT OpenCourseWare.

Dynamics and Control – Pedro Albertos, Polytechnic University of Valencia on edX.

The Hidden Factor: Why Thinking Differently Is Your Greatest Asset – Scott E.

Godel, Escher, Bach – multiple graduate students, MIT OpenCourseWare.

Complexity Explorer Tutorials – multiple professors, SFI on Complexity Explorer.

Decision making in a complex and uncertain world – Lex Hoogduin, Groningen University on FutureLearn.

Analysing Complexity – Evaluating Problems – Creating Innovation – Solving Complex Problems Capstone – form a 4 course paid series – multiple professors, Macquarie University on Coursera.

Principles of Complex Systems – Peter Sheridan Dodds, University of Vermont.

Systems Thinking and Complexity – Jeffrey Johnson, Open University on FutureLearn.

Thinking Complexity – Cameron Guthrie, University of Toulouse on Iversity.

Introduction to Complexity – Melanie Mitchell, SFI on Complexity Explorer.

Some courses that offer certificates are only open for enrollment a few times a year.

Paid online course without a certificate of completion.

Paid online course with a certificate of completion.

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Free online course without a certificate of completion.

Free online course with a (free or paid) certificate of completion.

Courses in some relevant fields are not listed here since they are often deemed as subfields of other disciplines these include: artificial intelligence, dynamics (mechanics), cognitive psychology, bioinformatics, and evolutionary biology. Within each section, courses are sorted by generality, difficulty (easy to difficult), and color key, in that order.

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This list is hierarchically structured, updated every month, and attempts to be as full as possible.