Now What?

Welcome to our first online presentation! In this first presentation, we're just going to survey our new set of tools and make sure that we can use the old ones remotely. You can hit the play button directly below to get started.

What's this?

First, these presentations are basically slide shows with audio. They're implemented as web pages built using a javascript library called Reveal.js that implements the effects.

That way we can include everything we might include in a webpage like the link above and ...

(Go ahead and hit the play button again.)

Typeset math

$$\begin{pmatrix} x & x^2 & x^3 & x^4 & x^5 & x^6 & x^7 & x^8 \\ x^2 & x^3 & x^4 & x^5 & x^6 & x^7 & x^8 & x^9 \\ x^3 & x^4 & x^5 & x^6 & x^7 & x^8 & x^9 & x^{10} \\ x^4 & x^5 & x^6 & x^7 & x^8 & x^9 & x^{10} & x^{11} \\ x^5 & x^6 & x^7 & x^8 & x^9 & x^{10} & x^{11} & x^{12} \end{pmatrix}$$

(Yeah, you ougtta hit the play here too.)

Images

Plot of the previous matrix

(I guess there's no audio player here, since I had nothing to add.)

And other fun toys

Procedures moving forward

Let's take a look at how we'll move forward from here.

Note that all we'll talk about here is outlined on our revised syllabus as well.

New dissemination mode

In addition to these online presentations, we'll also

  • Use the forum more,
  • Have an online office hour via Google Meet during the first part of our class (not required), and
  • You can get additional help via the Math Lab's new Moodle forum.

(The player reappeared, since I've got something to say.)

New assessment mode

First, in lieu of more exams or quizzes, we will lean more heavily on HW and computer labs, which should work quite well for this class. Specifically, we'll have

  • More open, randomly generated forum assignments,
  • Non-random assignments submitted as a forum, message,
  • A couple larger computer labs, and
  • A computer based final project.

That's all folks!

That's about all for now, but...

  • Reading ahead: Section 8.3 - particularly the portion on diagonalization
    (The first half of section 8.2 provides a nice review of the basics of eigenvalues and eigenvectors.)