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This is not your parents' linear algebra course. The focus is on matrix action, the geometry of matrix action, and the underlying reasons for what we see, how we solve, and what makes it all work. The foundation is the singular value decomposition of matrices.
Here's the list of lessons.
Perpendicular Frames  Illconditioned Matrices and Roundoff  
2D Matrix Action  Subspaces, Spans, Dimension, etc.  
Using Aligners, Stretchers and Hangers  Eigensense: Diagonalization, Exponential, etc.  
SVD Analysis of 2D Matrices  The Spectral Theorem for Symmetric Matrices  
3D Matrices  Function Spaces and RMS Approximation  
Beyond 3D 
Here are some pages with snapshots of problems from the course. Be careful if you look at these. They are chock full of graphics, and may take very long to download.
If you want, you may download preevaluated samplers from this course.
If you have a Macintosh computer: Click and hold and save the file to your disk.
If you have a Windows machine: Right mouse click and save.
Here's a sampler from each lesson.
If you are new to the courseware's structure, or to the structure of Mathematica notebooks, take a quick look at what to do once you download a sample lesson.
To view the samples, if you don't have a copy of Mathematica, you'll need to download a copy of MathReader from Wolfram Research, Inc 

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