Florida Polytechnic University
MAS 3114
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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
[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,
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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