# MATH 619 - Applied Probability - Spring 2019

** Credits 3. 3 Lecture Hours. **

Measure Theory; Lebesgue integration; random variables; expectation; condition expectation martingales and random walks; designed for beginning graduate students in mathematics, statistics, the sciences and engineering and students in economics and finance with a strong mathematical background. **Prerequisites:** MATHÂ 409 and MATHÂ 411.

### Sections

**This course is not taught in Spring 2019.**