SYC: Simple Yet Complex

Students often tend to think that if a system displays a complex behavior, it must be itself somehow complicated, difficult to describe. The aim of the module is to show, in a playful way, that this is not (always) the case, that really simple systems ranging from physics, meteorology, engineering, computer science, biology and economics, can have a rich, complex … and unpredictable behavior. Many notions are at the heart of this module such as determinism versus predictability, chaos, the need for a statistical description, random walks, ergodicity, entropy, fractals, cellular automata, self-organized criticality, emergent behavior, etc.

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