MA51100
Credit Hours:
3Start Date:
June 13, 2022Learning Objective:
Techniques associated with matrix theory and vector space arguments.Description:
Basic vector space theory; linear transformations; topics in matrix theory such as QR and LU factorization, eigenvalues, and quadratic forms. SU2019 MA511 Syllabus
Topics Covered:
Linear spaces; linear systems; matrices; Gauss elimination; LU and PLU factorization; linear transformations; orthogonality; QR factorization; inner products, least squares and projections; determinants; eigenvalues and eigenvectors; condition number and ill conditioning; spectral theorems; quadratic forms, singular value decomposition and pseudo inverse of a matrix; linear systems of differential equations.Prerequisites:
An undergraduate course in linear algebra and differential equations.Applied / Theory:
/ 100Web Address:
mycourses.purdue.edu piazza.com/purdue/summer2019/math511 Web Content:
Syllabus, grades, lecture notes, homework assignments.Homework:
Weekly assignments (worth 25% of final grade). Projects:
Worth 10% of final grade.Exams:
One midterm exam (25% of final grade) and one final exam (40% of the final grade)Textbooks:
Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department. Tentative: Required textbook(s): Gilbert Strang, Linear Alg and Its Applications, ISBN-10: 0030105676 | ISBN-13: 9780030105678 | Edition: 4th.Computer Requirements:
ProEd minimum computer requirements.Other Requirements:
MATLAB or Linear Algebra Software ProEd Minimum Requirements:
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