Data-driven frameworks for high-stakes strategic choices.
Advanced Decision Sciences equips cadets with analytical tools and methodologies for making critical decisions under uncertainty and pressure. Combining statistics, probability, game theory, and behavioral insights, this course fosters data-driven decision-making that is essential in strategic environments.
Students learn to model complex scenarios, assess risks, and optimize outcomes by integrating quantitative and qualitative information.
| Term | Definition |
|---|---|
| Decision Theory | The study of principles and models for making choices under uncertainty. |
| Bayesian Inference | A method of statistical inference using Bayes’ theorem to update probabilities. |
| Game Theory | The study of strategic interaction among rational decision-makers. |
| Nash Equilibrium | A stable state where no player can gain by unilaterally changing strategy. |
| Risk Assessment | Identifying and analyzing potential adverse outcomes and their probabilities. |
| Decision Tree | A graphical representation of possible decisions and their consequences. |
| Behavioral Decision Science | The study of psychological factors influencing decision-making. |
| Multi-Criteria Decision Analysis | Evaluating decisions involving multiple conflicting criteria. |