Foundations of Quantitative Reasoning and Risk Analytics

1 Unit · Graduate

Introduces the mathematical and statistical principles that underlie risk quantification and data-driven decision making. Topics include probability theory, distributions, correlation, and uncertainty modeling. Students apply these tools to evaluate risk exposures, perform scenario analyses, and inform quantitative risk decisions using real-world data.