University of South Florida 3 credits RMI
This course will focus on the modern use of data and analytical tools in risk management and insurance. We will begin by developing a set of tools for presenting, handling, and analyzing data and developing predictive models. In particular, we will focus on βbigβ data. We will briefly review basic programming concepts, traditional analysis techniques before moving onto more modern approaches such as web scraping, textual analysis, spatial analysis, and numerical methods. We will also cover the applications of these techniques to problems unique to the risk and insurance industry such as asset allocation, risk modeling, ratemaking, loss reserving, and risk control. Prerequisite: RMI 3004 (min grade C) AND RMI 3011 (min grade C) AND QMB 2100 (min grade C) OR [STA 2023 (min grade C) OR STA 2122 (min grade C)]
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