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Nov 23, 2024
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2016-2017 Academic Catalog [Archived Catalog]
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ACSC 512 - Predictive Modeling
Credits: Three (3)
Prerequisite: MATH-370, MATH-371, and MATH-372
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.
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