Chaos Theory Course
Master chaos theory with hands-on work on logistic, Henon, and other maps. Learn to diagnose chaos, compute Lyapunov exponents, build robust models, and turn sensitive dynamics into meaningful forecasts for real-world mathematical applications.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This focused Chaos Theory Course gives you a clear toolkit for working with canonical maps, strange attractors, Lyapunov exponents, and bifurcations. You will learn to simulate discrete systems reliably, diagnose chaotic behavior, and interpret results for real models, while following practical scripts, best practices, and concise explanations you can apply immediately in research and advanced study.
Elevify advantages
Develop skills
- Master canonical chaotic maps: build and tune logistic, Henon, and related maps.
- Diagnose chaos fast: Lyapunov exponents, attractor types, and sensitivity tests.
- Visualize chaos in practice: robust simulations, phase plots, and Poincaré sections.
- Connect chaos to real models: validate, forecast, and assess predictability limits.
- Explain chaos clearly: craft sharp, visual stories for non-technical stakeholders.
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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