This lecture covers the Monte Carlo method for generating realizations, computing sample means, and unbiased estimators. It discusses confidence intervals, the law of large numbers, and error estimation.
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The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on s
