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ASRM 499 PA - Topics in Actuarial Science - Predictive Analytics

Campus: Urbana-Champaign

Description:

Covers special topics in actuarial science. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated. Prerequisite: Consent of instructor.

Special Instructions:

Prerequisite: ASRM 401 or STAT 410, plus basic knowledge of coding. Experience with R and LaTeX is a plus but not required. This course will introduce basic statistical and machine learning tools to solve problems in actuarial science and quantitative finance and show how to communicate results to a general audience. We will introduce several key problems in actuarial science and quantitative finance, show standard mathematical models for these problems and illustrate how statistical and machine learning tools can help to improve existing solutions for these problems. Whereas some courses focus on applying statistical tools in different settings, the goal of this course is to give insight into these problems and be critical to possible statistical solutions.Class meetings are strongly recommended but students in faraway time zones may watch recordings later.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 3

Term(s): Spring


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