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: 29-MAR-24 05.20.11.748914 AM
Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1248 5199 1 001 | Fall 2024 | 5199 | Storrs | In Person | Li, Sean | 001 | Reg | TuTh 12:30pm‑1:45pm |
1/25 | MONT 227 | 3.00 | Graded |