Great course

Good course.

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Overall it was good course with detail explanation about state estimation using kalman filter, EKM and SPKF. Superb explanation of topics with optimum pace and trainer was expectionally good in presenting such complex topics.

But the final project was too easy. There was less challenge. A small variation could have been introduced in the project where one actually learns how to program Kalman filters. For the level of mathematical complexity involve during derivations, the final project is not a match. Keep challenging problems as projects it would be great!

I​t's nice for the math development, maybe I think is very complex to perform this estimation in some real applications.

Probably with more wide view doing the remaining courses we can understand better why we need this large effort in calculation and to apply the more suitable estimation (accuracy) in each application. The error type and process time indicators are important guide to choose the "just enough".

T​hank you, excellent course!

Content wise very interesting but the math was really a challenge this time. So it takes really some energy to go through and solve all the quizes. Taking a break in between and listen to some of the lessons a second time helped me at the end.

This part of the course is very mathematical and conceptual, while passing the course seems easy but it requires very strong math and programming ability to fully understand. Great course for an advanced learner.

It was overall an interesting course, but the mathematics could be improved with some real world examples. I think with no background in this topic you will be fastly lost.

Excellent course, would be happy if those sigma points were explained too. But still got the main idea of sigma point and the steps to execute them.

Capstone projects could be more demanding. Maybe you can provide a multiple temperatures example.

The course was a bit difficult to follow.