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Learner Reviews & Feedback for Kalman Filter Boot Camp (and State Estimation) by University of Colorado System
16 ratings
About the Course
Introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. Develops the background theoretical topics in state-space models and stochastic systems. Presents the steps of the linear Kalman filter and shows how to implement these steps in Octave code and how to evaluate the filter’s output.
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1 - 3 of 3 Reviews for Kalman Filter Boot Camp (and State Estimation)
By Natthaphon C
•Nov 26, 2024
I thoroughly enjoyed this course. Professor Gregory Plett provides a solid foundation in Kalman Filters, repeating key ideas and main points throughout the lessons to reinforce understanding. His cheerful speech and words of encouragement throughout the course made the learning experience even more enjoyable. This course offers a great opportunity to review mathematical tools while gaining new insights and knowledge that can be applied to solving other problems. I’m excited to move on to the next course. Thank you!
By Raktim P
•Mar 30, 2025
Outstanding introduction to Kalman Filtering. A very well designed course. Thanks to Professor Platt.
By Hung T
•Mar 31, 2025
brilliant course.. where one can learn a lot