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.

6111. Applied Probability and Stochastic Processes

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Statistical methods for describing and analyzing random signals and noise. Random variables, conditioning and expectation. Stochastic processes, correlation, and stationarity. Response of linear systems to stochastic inputs. Applications.

Last Refreshed: 01-MAR-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 6997 Storrs In Person Bar-Shalom, Yaakov 001 Reg Th 6:00pm‑9:00pm
0/20 ITE 125 3.00 Graded