Chaos Theory Course
This course equips learners with essential tools to understand and apply chaos theory, including simulations of chaotic systems and analysis of key concepts like attractors and bifurcations, for use in research and practical modeling.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This focused Chaos Theory Course provides you with a solid toolkit for handling canonical maps, strange attractors, Lyapunov exponents, and bifurcations. You will learn to simulate discrete systems effectively, identify chaotic behaviour, and analyse results for practical models, using straightforward scripts, best practices, and clear explanations you can apply right away in research and advanced studies.
Elevify advantages
Develop skills
- Master canonical chaotic maps: construct and adjust logistic, Henon, and similar maps.
- Identify chaos quickly: Lyapunov exponents, attractor types, and sensitivity checks.
- Visualise chaos practically: reliable simulations, phase diagrams, and Poincaré sections.
- Link chaos to real models: verify, predict, and evaluate predictability boundaries.
- Explain chaos simply: create clear, visual narratives for non-technical audiences.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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