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<h2 class="hd hd-2 unit-title">Session Overview</h2>
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<p>Nine questions in a three-hour closed-book exam would be typical for this course at MIT. We try to cover all the way from <em>A</em>x=0 (the null space and the special solutions) to projections, determinants, eigenvalues, and even a touch of singular values from the eigenvalues of <em>A<sup>T</sup>A.</em> That is the good matrix of linear algebra: square, symmetric, and positive definite or at least semidefinite.</p>
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<h2 class="hd hd-2 unit-title">Exam and Solutions</h2>
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<p><a href="/assets/courseware/v1/a18c22a69a160608322a1cf07c60d295/asset-v1:OCW+18.06SC+2T2019+type@asset+block/18.06_Final_Exam.pdf" target="[object Object]">Exam (PDF)</a></p>
<p><a href="/assets/courseware/v1/eae8b57e761c2a0de5a2c7bea4c49877/asset-v1:OCW+18.06SC+2T2019+type@asset+block/18.06_Final_Exam_Solutions.pdf" target="[object Object]">Solutions (PDF)</a></p>
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