MAT 343 Syllabus - Fall 2019.pdf - MAT 343 Applied Linear Algebra(i-Course Fall 2019 – Session C Instructor Catherine Hart E-mail

MAT 343 Syllabus - Fall 2019.pdf - MAT 343 Applied Linear...

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MAT 343 – Fall 2019 Updated: August 26, 2019 rev2 MAT 343: Applied Linear Algebra (i-Course) Fall 2019 – Session C Instructor: Catherine Hart E-mail: [email protected] Office: Santan, 330V Phone: (480) 727-1467 Office Hours: In-Person on the Poly Campus – TTH 3:00 to 4:00pm By Appointment Contact me via email or speak to me in class to setup an appointment (virtual or in-person) outside of office hours. College Contact: This course is offered by the College of Integrative Sciences and Arts (CISA). For more information about the college, visit our website: cisa.asu.edu/ . If you have questions or concerns about this course please speak with your instructor. If your instructor is unable to address your concerns, please send your inquiry to [email protected] . SLN: §78610 – i-Course Class Location: Online via ASU Canvas Credit Hours: 3 Important Note: All items on this syllabus are subject to change. The instructor reserves the right to modify it (including the dates of the tests) to meet the needs of the class. Any Canvas announcements, verbal or written/emailed, is considered official addendum to this syllabus. It is the student responsibility to attend class regularly and to make note of any change. Prerequisite: The official prerequisite is MAT 266 or MAT 271 (Calculus II) or its equivalent with a grade C or better. However, it is strongly recommended students take MAT 267 (Calculus III) prior to taking this class. Course Description: Linear Algebra is the study of vector spaces and linear transformations on vector spaces. Linear Algebra is central to both pure and applied mathematics. Techniques from Linear Algebra are also used in analytic geometry, engineering, physics, natural science, computer science, and the social sciences. Topics include the use and application of matrices in the solution of systems of linear equations, determinants, real n- dimensional vector spaces, abstract vector spaces and their axioms, linear independence, span and bases for vector spaces, linear transformations, eigenvalues and eigenvectors, matrix factorizations, and orthogonality. Computer explorations using MATLAB is an integral component of this course. Course Learning Outcomes: At the completion of this course, students will be able to: 1. Use matrices to solve linear systems of equations 2. Verify whether a given set is a vector space. 3. Find bases of subspaces 4. Find matrix representations of linear transformations and use them in applied problems. 5. Determine eigenvalues and bases of eigenspaces. 6. Determine and use matrix factorizations such as LU, QR and SVD. Workload Expectations in Courses: Coursework includes all learning activities including reading, watching videos, studying, and completing assignments. The Arizona Board of Regents requires 45 hours of coursework per credit for college-level courses ( - Academic%20Credit.pdf ).
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