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Learning Path
Probability Foundations → Integrated Capstone Project
This path equips senior systems engineering students with advanced quantitative methods for decision-making under uncertainty. It covers Bayesian probability and updating, real options analysis for flexible investments, and robust decision-making approaches including info-gap and scenario planning. The path emphasizes practical application through decision trees, Monte Carlo simulation, and sensitivity analysis, culminating in an integrated capstone project.
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12 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.