MA 300 — The Mathematics of Financial Life Management
3 credits; 2 lecture and 2 lab hours
Uses advanced mathematical and statistical techniques to analyze select topics in personal finance. Includes exploration into annuity analysis, regression methods, and time series analysis. Application areas involve managing credit cards, paying back student loans, and choosing a stock. Uses computers to analyze and interpret financially based data.
Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).