Basic probability theory, stochastic processes. Gauss-Markov model. Batch/recursive least squares estimation. Filtering of linear/nonlinear systems. Continuous-time Kalman-Bucy filter. Unscented Kalman filter, particle filters. Applications.prereq: [[[MATH 2243, STAT 3021] or equiv], CSE grad student] or dept consent; 3025, 4231 recommended
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All Instructors
This total also includes data from semesters with unknown instructors.
Kirsten Strandjord
3 terms from Fall 2021 to Fall 2023
Fall 2023
Fall 2022
Fall 2021
Demoz Gebre Egziabher
2 terms from Fall 2019 to Fall 2020
Fall 2020
Fall 2019
Richard Linares
Fall 2017
Andrew Lamperski
Fall 2018
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2024 provided by the Office of Institutional Data and Research