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Viewing: CSCI 4342 : Computational Linear Algebra and Applications

Last approved: Thu, 13 Apr 2017 15:16:35 GMT

Last edit: Wed, 22 Mar 2017 22:45:50 GMT

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School of Engineering and Applied Sciences
Computer Science (CSCI)
Computational Linear Algebra and Applications
Com. Linear Algebra & App.
Fall 2017
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CSCI 2113

Rahul Simha
Frequency of Offering
Every Year
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Application of linear algebra to computer science and engineering, with a computational perspective; points, vectors, matrices, and their programming repreentations; algorithms for 3D transformations, pose and viewpoint estimation; linear equations, independence, rank; algorithms for matrix decompositions, reduction of dimension; computation with large matrices, under and over-determined systems; applications to large 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.
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gharris (Sat, 25 Feb 2017 16:34:53 GMT): Rollback: A course cannot be submitted until it has a syllabus that includes all required elements. Please resubmit once a completed syllabus is available.
Key: 1431