S1.2: Difference between revisions
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Corinbowen (talk | contribs) (Created page with "= ''Structure'' S1.2: Placed the lesson into the overall arc of the course = * Explain how the content in this lesson contributes to overall course learning outcomes. This can be done when introducing the learning outcomes for the lesson (see example slides above) and then referencing the learning outcomes in the syllabus/visual syllabus. * For example, the lesson listed in the example for S1.1 references the Gauss-Jordan Method. This method will be used when so...") |
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= ''[[Structure]]'' [[S1]].2: | = ''[[Structure]]'' [[S1]].2: Places the lesson into the overall arc of the course = | ||
* Explain how the content in this lesson contributes to overall course learning outcomes. This can be done when introducing the learning outcomes for the lesson (see example slides above) and then referencing the learning outcomes in the syllabus/visual syllabus. | * Explain how the content in this lesson contributes to overall course learning outcomes. This can be done when introducing the learning outcomes for the lesson (see example slides above) and then referencing the learning outcomes in the syllabus/visual syllabus. | ||
* For example, the lesson listed in the example for S1.1 references the Gauss-Jordan Method. This method will be used when solving systems of linear DDS that have more than one equation. Specifically, in the computations of Eigenvalues and Eigenvectors, and the solutions to Leslie matrix models. The Eigenvalue and Eigenvector computations will be done via matrix calculator, but in the solutions given, the Gauss-Jordan method will be used and shown. Giving that information gives students direction on why they learn this topic. | * For example, the lesson listed in the example for S1.1 references the Gauss-Jordan Method. This method will be used when solving systems of linear DDS that have more than one equation. Specifically, in the computations of Eigenvalues and Eigenvectors, and the solutions to Leslie matrix models. The Eigenvalue and Eigenvector computations will be done via matrix calculator, but in the solutions given, the Gauss-Jordan method will be used and shown. Giving that information gives students direction on why they learn this topic. | ||
Revision as of 17:45, 8 August 2022
Structure S1.2: Places the lesson into the overall arc of the course
- Explain how the content in this lesson contributes to overall course learning outcomes. This can be done when introducing the learning outcomes for the lesson (see example slides above) and then referencing the learning outcomes in the syllabus/visual syllabus.
- For example, the lesson listed in the example for S1.1 references the Gauss-Jordan Method. This method will be used when solving systems of linear DDS that have more than one equation. Specifically, in the computations of Eigenvalues and Eigenvectors, and the solutions to Leslie matrix models. The Eigenvalue and Eigenvector computations will be done via matrix calculator, but in the solutions given, the Gauss-Jordan method will be used and shown. Giving that information gives students direction on why they learn this topic.
