Difference between revisions of "Math 215: Computational Linear Algebra"

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=== Prerequisite ===
=== Prerequisite ===
[[Math 112]]. Concurrent or previous enrollment in [[Math 213]], or [[Math 302]] (recommended).
[[Math 112]]. Concurrent or previous enrollment in [[Math 213]] or [[Math 302]] (recommended).
=== Description ===
=== Description ===

Latest revision as of 09:21, 6 February 2020

Catalog Information


Computational Linear Algebra

(Credit Hours:Lecture Hours:Lab Hours)



F, W


Math 112. Concurrent or previous enrollment in Math 213 or Math 302 (recommended).


Practical linear algebraic computations and applications.

Desired Learning Outcomes

Minimal learning outcomes

Upon completion of this course, the successful student will be able to:

  1. Solving large-scale linear algebraic problems.
  2. Applying matrix and vectors to analyze scientific and technological systems.
  3. Implementing linear algebraic techniques in suitable computing environments.


Possible textbooks for this course include (but are not limited to):

Additional topics

Courses for which this course is prerequisite