Let's have a look at the course outline and the breakdown of the different sections and topics as we
go through the course, so the first section is the welcome material.
This is what you're currently watching, the next section.
We're going to cover the introduction to date effusion and common filtering.
Then we're going to look at probability concepts and how to use them.
Looking at dynamic systems.
From there, we'll look at least squares estimation and using all the three concepts above, then we're
going to start looking at the linear common filter.
We're also going to be looking at the theory behind it and the implementation behind it.
We're also going to go through some additional examples of and use cases of the linear common filter.
And we're going to wrap this all up with the conclusion.