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Apr 18, 2024
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2017-2018 Academic Catalog [Archived Catalog]
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MATH 512 - Predictive Modeling
Credits: Three (3)
Prerequisite: ACSC/MATH 372 or 572
Statistical modeling will be a powerful (and critical) tool for the next generation of actuarial scientists, as well as professionals working in other fields that deal with large amounts of data (e.g. health care, bioinformatics, biotechnology and chemical engineering). Many disciplines have developed tools that allow the generation of massive amounts of data, and the ability to use statistical modeling to analyze this data is in high demand. This course will prepare students with the fundamental statistical techniques and real life examples. Generalized linear model will be the main focus, but advanced models, such as CART and data clustering, will be discussed as well. Students will gain a thorough understanding of predictive modeling and its applications (in particular in the field of insurance), and will be well prepared for professional work. A presentation of one project is required for the course.
Note: This course is for graduate students only
Cross-listed: ACSC 512
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