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Viewing: CSCI 6342 : Computational Linear Algebra and Applications

Last approved: Mon, 24 Apr 2017 08:01:59 GMT

Last edit: Wed, 22 Mar 2017 23:17:51 GMT

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School of Engineering and Applied Sciences
Computer Science (CSCI)
CSCI
6342
Computational Linear Algebra and Applications
Comp. Linear Algebra & App
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No

Corequisites

30

Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


Linear algebra applied to computational problems in computer science and engineering; points, vectors, matrices, and their programming abstractions; 3D transformations, pose and viewpoint estimation; linear equations; algorithms for matrix decompositions, dimension reduction, computation with large matrices, under- and over-determined systems; applications to big data, computer vision, text processing. Students cannot receive credit for both CSCI 4342 taken while an undergraduate and CSCI 6342 taken while a graduate student. Students in the combined BS/MS program cannot receive credit for both CSCI 4342 and CSCI 6342.
• Be able to explain some important applications of linear algebra.
• Demonstrate understanding of core linear algebra concepts through implementation in code.
• Be able to apply linear algebra to applications.
• Strengthen their proof skills.

Course Attribute


twilson (Fri, 12 Dec 2014 14:20:47 GMT): Rollback: Returned per your request
twilson (Mon, 19 Oct 2015 18:32:56 GMT): Rollback: invalid prerequisites
gharris (Wed, 28 Oct 2015 16:50:02 GMT): Rollback: Please attach syllabus. See email sent with roll back of 6448 for elements that should be included in all syllabi.
lang (Mon, 02 Nov 2015 19:59:25 GMT): Rollback: Its coming back
Key: 2066