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You’re already familiar with the topic of functional modeling and how it fits within the bigger picture of our framework for probability, statistics, and estimation for spatial applications introduced here. This module helps you take that understand to the next level.
In this module:
- We’re going to go a little deeper on functional modeling
- We’ll look at linearization, i.e. how to get our functional models into a form that they can be used to solve the kinds of problems we’re going to run into
- We’ll introduce least squares estimation through a very practical lens so you can get to it
Build your own notes
I’m still assuming that you’re building your own “perfect set of notes” as you go through the material in this course – to make sure you have a succinct reference to help you be efficient on a test or in your future work.
In this module I share a series of animated whiteboard videos and I want you to build your own notes from those.
The self-assessment problems
Between each portion of the lessons below you’ll find some conceptual and practical self-assessment problems to help you make sure you’ve got the fundamentals concepts down and can apply them.
If you’re taking this course from me as part of a university class then these self-assessments problems are the best way to study. I can’t ask exactly the same questions on a test, of course, but I do commit to you that I’ve designed the problems in a way that you can expect to do as well in the formal assessments as you can do on these self-assessment questions.
So, dig into these problems either after you’ve finished looking at the material or as you go. Hustle to figure out the answers. Leave no stone unturned. Get help if you need it. As with the notes, I’m going to assume you’re building the “perfect set of reference problems” to help you be efficient in a test or to look back at in practice.
Okay, now get started by clicking through the lessons below!
