Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5160. Probability Theory and Stochastic Processes I

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Convergence of random variables and their probability laws, maximal inequalities, series of independent random variables and laws of large numbers, central limit theorems, martingales, Brownian motion.

Last Refreshed: 14-JUN-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 5199 Storrs In Person Li, Sean 001 Reg TuTh 12:30pm‑1:45pm
4/25 MONT 227 3.00 Graded