MAS 3114 Computational Linear Algebra _Sec2.pdf

# MAS 3114 Computational Linear Algebra _Sec2.pdf - Florida...

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Florida Polytechnic University MAS 3114 Page 1 of 6 Course Syllabus Course Number: MAS 3114, Section 2 Course Title: Computational Linear Algebra Course Description: Linear equations, matrices, and determinants; vector spaces and linear transformations; inner products and eigenvalues. This course emphasizes computational aspects of Linear Algebra. Instructor Name: Voice Mail: Email Address: Office: Dr. Udita Katugampola 1(863)-874-8512 IST 2015 Office Hours: MWF 10:15 11:00 am Class Meetings: MWF 8:00 8:50 am Gordon Rule: Y Prerequisite(s): MAC 2312 - Analytic Geometry and Calculus 2 with a grade of C or higher Textbook: Linear Algebra and Its Applications, 5 th edition, by David C. Lay, Steven R. Lay, Judi J. McDonald* (can also access through MyMathLab) Instructional Materials: The course uses Canvas as the main communication method and students need to make sure that they regularly (once every day) check canvas announcements and other related information. Course Objectives: This course will focus on the computational aspects of solving systems of linear equations using matrices, various methods of calculating determinants and their uses, I identifying general vector spaces and subspaces, compute and apply eigenvalues and eigenvectors, and study the basics of linear transformations. Learning Outcomes: Learning Outcomes of Instruction: Use the matrix associated to a system of linear equations to solve the system. Various methods of calculating determinants and their applications. Verify if a subset is a subspace Construct a basis of a vector space Calculate the eigenvalues and construct a basis for the eigenspaces of a matrix Instructional Methods: Problem-based activities, collaborative-learning techniques, and lecture will be used as appropriate. For proper learning of the course material, student s active engagement of the course is highly expected.

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