Mathematics 494RI - Statistics of Risk Management

This course is concerned with the building, using, and critiquing of mathematical models. In constructing models, one translates scientific questions into mathematical language, and thereby one aims to explain the scientific phenomena under investigation. Models can be simple or very complex, easy to understand or extremely difficult to analyze. In this course, the models will be data-driven: we will study regression models (including the generalized linear model), time series models, KNN models, principal components analysis, decision trees, and cluster analysis. This course helps prepare students for the Statistics of Risk Management actuarial exam, but it is valuable for any math major seeking to learn the foundations of data science. Satisfies the Integrative Experience requirement for BA-Math and BS-Math majors.

MATH 233,235,STAT 315&CICS 110 Some seats reserved for math/DS majors. Additional seats reserved for the actuarial concentration.