MATH5327
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MATH 5327 - Applied Linear Algebra and Data Analysis (3 Cr.)
Mathematics & Statistics (10345)DCSE - Swenson College of Science and Engineering
Course description
Topics in data analysis, applied linear algebra, and scientific computation including solving large linear systems directly and iteratively, interpolation
and approximation including efficient least-squares fitting, the discrete Fourier transform, the singular value decomposition, and the conjugate gradient method of optimization.
Prereqs: Graduate student, or completion of MATH 3280 with a C- or better, or
completion of MATH 3326 with a C- or better, or departmental consent.
Credit cannot be earned for both Math 4327 and Math 5327. Credit cannot be
earned for both Math 5327 and Math 4326 or 5326.
and approximation including efficient least-squares fitting, the discrete Fourier transform, the singular value decomposition, and the conjugate gradient method of optimization.
Prereqs: Graduate student, or completion of MATH 3280 with a C- or better, or
completion of MATH 3326 with a C- or better, or departmental consent.
Credit cannot be earned for both Math 4327 and Math 5327. Credit cannot be
earned for both Math 5327 and Math 4326 or 5326.
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Lecture
Requirements
013787
Typically offered term(s)
Every Fall