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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

Catalog Pages referencing this course
Programs referencing this course
School of Engineering and Applied Sciences
Computer Science (CSCI)
CSCI
4342
Computational Linear Algebra and Applications
Com. Linear Algebra & App.
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
CSCI 2113
Corequisites

20
Rahul Simha
Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


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.
Uploaded a Course Syllabus

Course Attribute


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