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.