OU - OER - Ancillary Materials: Recent submissions
Now showing items 1-20 of 46
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7.1 - Trapezoidal Rule
(7/19/18)In this lesson you'll learn about how to approximate an area under the curve using the Trapezoidal rule and how to develop a VBA code to implement this technique to any desired approximate error. -
7.2 - Simpson's 13 Rule
(7/20/18)In this lesson you'll learn about how to approximate an area under the curve using the Simpson's 1/3 Rule and how to develop a VBA code to implement this technique to any desired approximate error in addition to how the ... -
1.2 - Functions & Variables
(6/4/18)In this lesson you'll learn about the two possible programs written in VBA, functions and subroutines in addition to the use of variables in a VBA program -
1.1 - Getting Started with Excel
(6/1/18)In this lesson you'll learn how to setup Excel for VBA programming, explain the most common features of the interface and how to save an Excel sheet with a macro program -
7.3 - Romberg Integration
(7/26/18)In this lesson you'll learn about how to approximate an area under the curve using Romberg Integration, how to develop a VBA code to implement this technique to any desired approximate error in addition to how Romberg ... -
7.5 - High Accuracy Vs. Conv. Centered (1st & 2nd Derivatives)
(7/23/18)In this lesson you'll learn about how to approximate derivatives using the High Accuracy centered finite difference approximations and how it compares to the conventional finite approximations -
7.4 - Conv. Forward Vs. Conv. Centered (1st & 2nd Derivative)
(7/23/18)In this lesson you'll learn about how to approximate derivatives using the conventional forward and centered finite difference approximations -
1.5 - If-Then-Else
(6/6/18)In this lesson you'll learn about the decision structure of VBA Programming and that the if-then-else statement. -
1.4 - Nested Loops
(6/6/18)In this lesson you'll learn about how created a nested loop where a loop is imbedded within another loop -
1.8 - Inbuilt Functions
(6/12/18)In this lesson you'll learn about some the most useful and common EXCEL/VBA inbuilt functions used in numerical methods -
8.1 - Euler's Method
(7/27/18)In this lesson you'll learn about the concept behind applying Euler's Method to solve Ordinary Differential Equations and learn how to write a VBA code to apply Euler's Method -
1.3 - ForNext & Dowhile Loops
(6/5/18)In this lesson you'll learn about the repetition structure in VBA. This will include the ForNext Loop and the DoWhile Loop -
1.6 - Factorial
(6/7/18)In this lesson we'll use what we have learned previously to create a factorial code capable of generating the factorial of any number -
1.7 - Area & Perimeter of a Square
(6/7/18)In this lesson we'll use what we have learned previously to create a code to find which of 7 squares of different side length has magnitude of area equal to magnitude of perimeter -
2.1 - Taylor Series & Exp(x)
(6/15/18)In this lesson you'll learn about what Taylor Series are and how to approximate the Exp(x) function using Taylor Series -
3.1 - Bisection Method
(6/21/18)In this lesson you'll learn about the different types of Root of Equations techniques, the bisection method and how to develop a VBA code to implement this technique to any desired approximate error. -
3.2 - False Position & How it Compares to Bisection Method
(6/21/18)In this lesson you'll learn about the False Position method, how to develop a VBA code to implement this technique to any desired approximate error and how the False Position compares to the Bisection Method -
3.3 - Newton Raphson & Secant Methods & How they compare
(6/21/18)In this lesson you'll learn about the Newton Raphson and secant Techniques, how to develop a VBA code to implement these techniques to any desired approximate error and how the open methods compares to both bisection and ... -
2.3 - Taylor Series of Exp(3x) around 2
(6/18/18)In this lesson you'll learn about how to develop a VBA code to approximate Exp(3x) around a = 2 -
2.2 - Taylor Series & f'(x)
(6/15/18)In this lesson you'll learn about how to approximate derivatives using Taylor Series