The probability concept. Classical and empirical definition of probability. Conditional probability and independence. Bayes law. Combinatorial analysis. The concept of random variables. One-dimensional distributions. Functions of random variables. Mean value, variance, correlation functions , correlation coefficient. Multi-dimensional distributions. Central limit theorem. Moment generating functions. Random walks. Stochastic processes. Master Equation, Langevin Equation, Fokker-Planck Equation, Markov Chains.
Introduction to the concepts of discrete probability and combinations
Non required
Level:
Type:
Undergraduate
(A-)
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