Assessment Progress:

Navigating this content works best when you’re signed in »

Welcome (back)!

All of the Creative Commons tools on this site are free. We just ask that you sign in / sign up using one of your existing social accounts:

This will take you to their secure sign in tools - we'll never see your password and you don't have to create and remember yet another one.

That said, we will receive your name and email address from them as well as any other profile information you approve for them to share.

And, by signing in, you are agreeing to our full terms of use (including privacy policy and license agreement) found here.


The following are some recommended conceptual self-assessment questions for the lesson called The general and special forms of a functional model. They’re intended for you to work through to test your own understanding of the key concepts we covered there.

Question 1

There are three forms of functional model: combined, parametric, and condition.

a) If I ask you to parametrize a situation, which form am I after?

b) If I ask you to develop the observation equations for a situation, which form will you develop?

c) If you develop a functional model and find you have terms in which you can’t separate the measurements from the parameters, what form of model is it?

Question 2

In Example 6 we saw how to build a condition model for the internal angles of a triangle. Do the same thing for the internal angles of any quadrilateral (any shape with four straight sides).

Question 3

a) Provide an example from the lessons above where the number of equations in your vector function F isn’t the same as the number of measurements.

b) For which of the three types of functional models, i.e. combined, parametric, condition, does this happen? (You know enough to answer this already, but you might also want to revisit your answer after the next lesson in which we summarize the different kinds of models.)

Question 4

In Example 5, we saw how to develop the functional model for ‘best fitting’ a line to some data. It was based on the simple equation N – mE – b = 0.

I used b and m to relate it to the familiar equation for a line, y = mx + b. But instead of b for the y-intercept and m for slope, we could have used the variables x0 and x1 , giving us the following which frames the functional modeling task as setting things up to fit a first order polynomial to the data:

N = x1E + x0

a) Extend the work we did in that example by developing the functional model that would be needed to fit a second order polynomial to the data, i.e. where:

N = x2E2 + x1E + x0 = 0

You don’t need to fit a polynomial to any data here. Just write out the parameter vector, the measurement vector, and the functional model that would be used to do so.

b) Which of the three forms of functional model did you end with here, i.e. combined, parametric, or condition?

If you’re one of my students, then you’re expected to answer these on your own and submit them according to the directions provided in class, i.e. you don’t  need to submit them through this website. Don’t forget that our TA and I are both here to help you in the associated lab (and/or tutorial) sessions.

I want you to put your answers to these conceptual questions into a single document. I don’t mind if you hand write it or type it out – do what works best for you.

But I want you to use the same document for all of the self-assessment questions you do before the due date, i.e. you will be asked to hand them all in together. This means you should keep things well organized with clear headings so you (and your TA) can figure out which solutions refer to which questions. Good self-assessment documents use headings and some even provide the links, e.g. the URL for this page. This helps you keep track and go back and forth quickly between the problems and solutions.

Also, keep in mind that you will be asked to submit them through D2L, so you’ll have to scan any handwritten documents.

You can click through to other self-assessments or lessons (if any) using the button below, and return here whenever you wish.