MHB What Should Computer Science Majors Expect from Linear Algebra?

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Computer science majors can expect linear algebra to cover essential topics such as vector spaces, change of basis, and eigenvalues and eigenvectors. Mastery of Gaussian elimination and understanding row echelon form will be important foundational skills. The course is considered highly beneficial, especially for those planning to study quantum mechanics afterward. Overall, linear algebra is viewed as a crucial component of a computer science education. Engaging with these concepts will enhance analytical and problem-solving skills in the field.
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Computer science major here.
I recently completed calculus I, II, III. Now I know that I'll probably be required to take linear algebra.
So far, I expect to do some Gaussian elimination (assuming I know what a row echelon is).
What else should I expect from linear algebra?
 
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You should get vector spaces, change of basis, and eigenvalues and eigenvectors. Linear Algebra is by far one of the most useful courses ever, particularly if you take quantum mechanics soon after.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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