ASRM 499

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

Topics in Actuarial Science

Credit: 1 TO 4 hours.

Covers special topics in actuarial science.

1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated. Prerequisite: Consent of instructor.

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ASRM 499 class schedule data for spring 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	68706	Lecture-Discussion	PA	1:00PM -2:20PM	TR	Altgeld Hall	Linders, D	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Predictive Analytics Section Info: 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. Restriction(s): Restricted to Actuarial Science major(s).