MATH 619 - Applied Probability - Spring 2022
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
Sec | Instructor | Lecture | |
---|---|---|---|
600 | Jeffrey Kuan | MWF 11:30-12:20pm BLOC 110 |