Course content

• Combinatorial analysis. Stirling’s formula.
• Axiomatic foundation of the Theory of Probability. Independence. Conditional probability. Bayes theorem.
• Discrete random variables. Continuous random variables.
• Random walk. Diffusion as random walk.
• Estimate of a random variable. Least mean square error.
• Weak law of large numbers. The central limit theorem.