About MATH 2522 C
Vectors, matrices, linear independence, vector spaces (with focus on real n-space), determinants, linear transformations, eigenvalues and eigenvectors. Applications from engineering and the sciences incorporated through required computer assignments. Credit not given for both MATH 2522 and MATH 2544. Prerequisite: MATH 1248 or MATH 1242.
Notes
Prereqs enforced by the system: MATH 1248 or MATH 1242; Open to Degree and PACE students;
Section Description
This is a lecture-based course. Topics will be presented with a level of depth and rigor appropriate for students pursuing degrees in technical fields such as engineering, computer science, or the physical sciences. Math Majors should take Math 2544 Linear Algebra.
Section Expectation
Class time will be spent lecturing, and students should expect to spend 6-8 hours a week outside class reviewing course material and working on homework assignments.
Evaluation
Assignments, midterms and final exams. WebAssign access for Linear Algebra with Applications, 9th edition, by Garreth Williams ISBN 1284154696. WebAssign includes access to an e-text, as well as homework exercises.
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