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

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# Implementing linear algebraic techniques in suitable computing environments.
 
# Implementing linear algebraic techniques in suitable computing environments.
  
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=== Textbooks ===
 
=== Textbooks ===

Latest revision as of 19:59, 27 March 2019

Catalog Information

Title

Computational Linear Algebra

(Credit Hours:Lecture Hours:Lab Hours)

(1:0:1)

Offered

F, W

Prerequisite

Math 112. Concurrent or previous enrollment in Math 313, Math 213, or Math 302 (recommended).

Description

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.


Textbooks

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


Additional topics

Courses for which this course is prerequisite