Linear Algebra explained
Description
This linear algebra course suitable for students of computer science, data science, engineering, financial mathematics or physics. It is ideal as a companion to a college-level course or as a stand-alone course for self-study.
This course is complete in the sense that it covers ALL topics a standard college-level linear algebra course covers, including:
- vectors, vector spaces, subspaces, linear independence
- matrix algebra
- solving linear equations (by Gaussian elimination and other methods)
- determinants
- eigenvectors, eigenvalues, eigenspaces
The lectures are organized in a way that the proof of the theorems can be skipped in case you are only interested in the results.
The instructor is a physicist who did his doctoral work at the particle accelerator at CERN, worked as a researcher at Harvard and studied at MIT. Learn linear algebra from someone who truly understands it.
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