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.

6439. Estimation Theory and Comp Algorithms

3.00 credits

Prerequisites: ECE 5101 and 6111.

Grading Basis: Graded

Estimation of the state and parameters of noisy dynamic systems with application to communications and control. Bayesian estimation, maximum-likelihood and linear estimation. Computational algorithms for continuous and discrete processes, the Kalman filter, smoothing and prediction. Nonlinear estimation, multiple model estimation, and estimator Kalman, multiple model estimation, and estimator design for practical problems.


Last Refreshed: 01-MAR-24 05.20.24.480094 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 9760 Storrs In Person Bar-Shalom, Yaakov 001 Reg Th 6:00pm‑9:00pm
9/20 ITE 127 3.00 Graded