Credit Hours: 3
Start Date: June 13, 2022
Learning Objective: Techniques associated with matrix theory and vector space arguments.
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: / 100
Web 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: