Lower Division Linear Algebra Vs Upper Divison?

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Discussion Overview

The discussion centers on the differences between lower division and upper division linear algebra courses, focusing on their content, rigor, and pedagogical approaches. Participants share their experiences from various universities, highlighting the scope of topics covered in each level of course.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • Some participants describe lower division linear algebra as primarily focused on matrix algebra, including topics like solving linear systems, determinants, and basic vector spaces.
  • Others note that upper division courses typically involve more rigorous proofs and a deeper exploration of vector spaces and linear transformations.
  • There are mentions of variations between institutions, with some offering a sequence that emphasizes applications in the lower division and proofs in the upper division.
  • One participant suggests that the upper division course may cover similar topics as the lower division but with a focus on theoretical aspects and proof-oriented learning.
  • Some participants express that their understanding of linear algebra improved significantly only after taking more advanced courses, indicating a perceived gap in learning at the lower division level.
  • Specific topics mentioned for lower division include matrix algebra, inverses, and eigenvalues, while upper division topics may extend to infinite dimensional vector spaces and abstract algebra concepts.

Areas of Agreement / Disagreement

Participants generally agree that lower division courses focus more on computational aspects and matrix algebra, while upper division courses delve into proofs and theoretical frameworks. However, there is no consensus on the exact content or structure of these courses, as experiences vary widely across different institutions.

Contextual Notes

Limitations include the variability in course content and structure across different universities, as well as the lack of detailed course syllabi to provide definitive comparisons.

MathWarrior
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What is the difference between lower division linear algebra and upper division linear algebra?
 
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At my university, lower division LA is basically Matrix algebra and an intro to set theory and notation and that sort of stuff. I suppose the major difference where I attend is rigor and proof.
 
It depends on your school. Some schools have two linear algebra courses - one that focused on proofs and another that focused on applications. Other schools have a linear algebra sequence where the first class is spent on reducing matrices, finding eigenvalues, etc and the second course picks up at linear vector spaces.
 
At my school, the lower division class is basically matrix algebra. The upper division class is basically the same, except in the context of vector spaces and with all results proven. The upper division class is meant to be an introduction to proofs as well.
 
It is indeed very likely that lower division is just matrix algebra and upper division is vector spaces and stuff.

Perhaps you could post the course contents to be sure??
 
micromass said:
Perhaps you could post the course contents to be sure??
Solving linear systems, matrices, determinants, vector spaces, bases, linear transformations, eigenvectors, norms, inner products, decompositions, applications.

Vs

Introduces matrices, systems of linear equations, determinants, vector spaces, linear transformations, and eigenvalues.
 
Last edited:
Upper division is the same thing without the torture instruments. From my point of view, anyway. Actually, I have no idea, I'm just goofing off.

But the point is that if you just look at it from a matrix point of view without vector spaces, it's really awful stuff (if you're one of the people who likes to actually understand things). That was what my first linear algebra class was like, until we got to the end, but by then, it was too late. I didn't really learn linear algebra until I took analysis or maybe when I read visual complex analysis. Somewhere in there.
 
My schools LD linear is matrix algebra, inverses, determinants, vector spaces, inner product spaces, eigenvalue problems, least squares, spectral theorem and a couple other things I forget.

UD is still not proof oriented here but, at least when I took it, it was mostly on infinite dimensional vector spaces.
 
lower division (undergraduate) at where I went: matrix stuff, transformations, vector spaces, eigenvalues, determinants, systems of ODEs, intro to fourier, and complex vector spaces.

upper division (graduate) was: review of real/complex vector spaces and transformations, then isomorphisms, modules, metric spaces, hilbert spaces, and tensors. Abstract algebra was a prerequisite. Corequisite was either real or complex analysis.
 

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