READING AND RESEARCH-ACTUARIAL SCIENCE

ACTSCI 640

Introduction to statistical learning theory and methods for analyzing and modeling risks in actuarial applications. Topics include linear and nonlinear models; diagnostics and assessment of predictive models; variable and model selection; and non-supervised learning techniques.

ACTSCI 301

Develop a knowledge of mathematical tools for quantitatively assessing financial risk. Emphasize the applications to problems encountered in actuarial science.

ACTSCI 300

Develop a knowledge of fundamental mathematical tools for quantitatively assessing risk. Emphasize the applications of these tools to problems encountered in actuarial science.

ACTSCI 651

Joint life probabilities, annuities and insurances; multiple-decrement theory; pension fund mathematics.

FINANCE 399

Individual work suited to the needs of undergraduate students may be arranged with faculty member.