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Cours associés (5)
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This course provides an introduction to the theory of measures and integration on abstract measure spaces.
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The course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
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This is an introductory course in ergodic theory, providing a comprehensive overlook over the main aspects and applications of this field.
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Learn the basis of Lebesgue integration and Fourier analysis
MATH-467: Probabilistic methods in combinatorics
The 'probabilistic method' is a fundamental tool in combinatorics. The basic idea is as follows: to prove that an object (for example, graph) with certain properties exists, it suffices to prove that