Graduate Studies and Postdoctoral Affairs (GSPA)
Needles Hall, second floor, room 2201
Subject:
Electrical & Computer Engineering (ECE)
Catalog number:
683
Unit weight:
0.50
Meet type:
LEC
Grading basis:
NUM
Cross-listing(s):
N/A
Requisites:
N/A
Description:
Estimation theory, linear and nonlinear regression, numerical techniques for parameter estimation for static and dynamic models, the Kalman filter and extensions, stochastic approximation, empirical dynamic models - especially for linear sampled data systems with stochastic inputs.
Topic titles:
N/A
Faculty:
Engineering (ENG)
Academic level:
GRD
Course ID:
000812