Actuarial work involves modeling future contingent events that are uncertain in terms of timing, frequency and severity. Understanding the central tendency of a contingency and its possible distribution is critical for an actuary to help individuals and institutions manage risk. This course starts with a brief discussion of data analysis, focusing on the central tendency and distribution of data. Introductory probability concepts are introduced next. The course concludes with a study of discrete probability models with an eye toward actuarial application.
Overview
Taught by
Gordon Enderle