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Let's have a look at the course outline and the breakdown of the different sections and topics as we

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go through the course, so the first section is the welcome material.

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This is what you're currently watching, the next section.

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We're going to cover the introduction to date effusion and common filtering.

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Then we're going to look at probability concepts and how to use them.

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Looking at dynamic systems.

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From there, we'll look at least squares estimation and using all the three concepts above, then we're

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going to start looking at the linear common filter.

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We're also going to be looking at the theory behind it and the implementation behind it.

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We're also going to go through some additional examples of and use cases of the linear common filter.

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And we're going to wrap this all up with the conclusion.