At this demos link, you can experiment with how the formula for the sequence determines the terms, as well as tell whether the function is bounded, increasing, eventually increasing, etc.

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## Desmos – Riemann Sums and Definite Integrals (4.2, 4.3)

At this link, you will learn how to use desmos to calculate Riemann Sums and definite integrals very quickly, check your work, and also see what is going on with the graph.

## Interlude 4 – Newton’s Law of Cooling

In this interlude, we will investigate a famous and simple way to model temperature using differential equations, known as “Newton’s Law of Cooling”. Although the situation is much more complicated in reality (see Heat Equation), we can already understand the calculus behind Newton’s Law of Cooling, which is a very useful approximation in many situations….

## Interlude 3 – Slope Fields

For any differential equation of the form dy/dx = f(x,y), we can construct a “slope field” for the differential equation, which allows us to understand the qualitative behavior of the solutions without needing to know a formula for the solutions. The following set of notes introduces the main ideas, and has some exercises for you…

## Interlude 2 – Intro to Differential Equations

Starting with Interlude 2, and continuing through Interludes 3 and 4, we will investigate how our ability to understand and calculate derivatives lends itself to some powerful modeling applications in the real world. These notes for Interlude 2 introduce “differential equations” (DE’s) and “initial value problems” (IVP’s), and the important idea that even though solving…

## The Definition of ‘e’ (0.4, 2.5)

In this handout, we investigate an alternative way of defining the number e, as the base of the exponential function which is its own derivative. This Desmos graph lets you experiment with different bases of an exponential function, and observe the connection between the exponential function and its derivative.

## Implicit Differentiation (2.4)

These notes contain a summary of the important ideas behind implicit differentiation, its connection to the Chain Rule, and how it may be used to find tangent lines to general equations. You can use this Desmos graph to look at the graphs produced by various equations, as well as to check that your answers to…

## Interlude 1 – Newton’s Method

The handout below contains a summary of the important points about Newton’s Method, as well as introduces the Bisection Method for comparison. There are some exercises at the end for you to test your understanding of some of the important ideas. This Desmos graph gives a visual representation of what is going on during each…

## Linear approximations and their derivatives (2.2)

This graph shows how we can make an approximation to the graph of a function using a piecewise function where each piece is a secant line. For this piecewise function — since lines are easy to deal with — we can compute the piecewise derivative and see how this compares with the graph of the…

## Definition of the derivative (2.2)

This Desmos graph shows how the derivative represents the slope of the tangent line to the graph, and can be calculated as the limit of the slopes of secant lines. In the same way that the slope of a secant line represents an “average rate of change”, the slope of the tangent line represents an…