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Nov 26, 2024
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2016-2017 Academic Catalog [Archived Catalog]
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ACSC 412 - Predictive Modeling
Credits: Three (3)
Prerequisite: MATH 370 or ACSC 370
MATH 371 or ACSC 371
MATH 372 or ACSC 372
Statistical modeling are 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 create massive amounts of data; 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.
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