This preview shows pages 1–3. Sign up to view the full content.
Florida Polytechnic University MAS 3114 Page 1of 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 aspectsof Linear Algebra. Instructor Name: Voice Mail: Email Address: Office: Dr. Udita Katugampola 1(863)-874-8512 [email protected]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, 5thedition, by David C. Lay, Steven R. Lay, Judi J. McDonald* (can also access through MyMathLab) Instructional Materials: The course uses Canvasas 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.
This preview
has intentionally blurred sections.
Sign up to view the full version.