Course Syllabus
Fall 2015
Course Number and Title: Math 2753, Linear Algebra
College or Department: CST--Math and Computer Science
Instructor: John Hutchens
Contact Number: (870) 235-4914
Email: jdhutchens@saumag.edu
Office Hours & Location: M W 9:00-10:00am Wilson 228
Format: F-to-F (0-24% online)
Weeks in length: 15
Class Meetings per term:
Hours per class meeting:
Credit hours awarded: 3
Course Time & Location:
31
1.33
TR11:00-12:20, Wilson 208
Credit Hour Description
For every course credit hour of a 15-17 week semester, the typical student should expect to spend approximately 45 clock hours per term of concentrated attention on course-related work, including but not limited to time engaged in class, as well as out-of-class time spent reading, reviewing, organizing notes, preparing for upcoming quizzes/exams, problem solving, developing and completing projects, and other activities that enhance learning.
University Mission Statement
The mission of Southern Arkansas University is to educate students for productive and fulfilling lives in a global environment by providing opportunities for intellectual growth, individual enrichment, skill development, and meaningful career preparation. The University believes in the worth of the individual and accepts its responsibility for developing in its students those values and competencies essential for effective citizenship in an ever-changing, free, and democratic society. Further, the University encourages and supports excellence in teaching, scholarly, and creative endeavors, and service.
College Mission Statement
The purpose of the College of Science and Technology is to educate students in the basic and applied natural sciences, mathematics, computer science, agriculture, and nursing to prepare them to enter industrial, governmental, and professional careers as well as advanced degree studies.
Department Mission Statement
The mission of the department is seven-fold. One is to prepare students for careers in both mathematics and computer science. Another is to prepare students for advanced graduate training in both mathematics and computer science. A third is to prepare elementary, middle-school, and secondary teachers in the content areas of mathematics and computer science which are essential to their bachelor of science in education program. A fourth is to prepare graduate students in the content area of mathematics essential for the master of education degree. A fifth is to provide both minor programs to support a variety of major programs and service courses in mathematics and computer science in support of other departmental major and minor programs. A sixth is to support the general education program. The final mission is to offer developmental courses to prepare students for college-level mathematics.
Learning Goals and Course Content
University Learning Goal: LG 3--Critical Thinking
Department or Program Learning Goal: Graduates will be able to state and apply mathematical definitions and prove fundamental theorems.
Course Description:
Course Content: Linear Equations and Matrices, Determinants, Vectors, Real Vector Spaces, and Eigenvalues and Eigenvectors.
Course Learning Goal(s):
Course Learning Objective(s): Upon completion of this course, students should be able to:
Solve problems related to Linear vector spaces, Systems of linear equations, and eigenvalues and eigenvectors.
Needed Resources
To successfully complete this course, you will need:
Linear Algebra, Jim Hefferon is the required textbook. It is available free online as a pdf here: http://joshua.smcvt.edu/linearalgebra/book.pdf

Grading Policies:
Remarks: Students are responsible for announcements made in class concerning the course and the material discussed in class, homework assignments, and test or quiz dates. I reserve the right to make any changes or additions to these remarks on the syllabus.
o Tests o HW/quiz avg.
18.75% each
18.75% o Final exam 20% o Class participation 5%
Grading Scale: A [100, 90]; B (90, 80]; C (80, 70]; D (70, 60]; F (60,0]
Additional University Policies
Disability Support Services: It is the policy of SAU to accommodate students with disabilities, pursuant to federal law, state law, and the
University's commitment to equal education opportunities. Any student with a disability who needs accommodation should inform the instructor at the beginning of the course. Students with disabilities are also encouraged to contact the Office of Disabilities Support
Services, Reynolds, Room 216, 870-235-4154.
Academic Integrity Policy: Academic integrity at SAU is an organizational and individual responsibility to honesty in all learning experiences.
Any act of dishonesty in academic work constitutes academic misconduct and is subject to disciplinary action. Acts of dishonesty include, but are not limited to:
A.
Plagiarism--the act of taking and/or using the ideas, work, and/or writings of another person as one’s own.
B.
Cheating--an act of dishonesty with the intention of obtaining and/or using information in a fraudulent manner.
C.
Fabrication--faking or forging a document, signature or findings of a research project.
Supplemental Information
The following calendar is subject to change:
1
Course Calendar
Topic
Gauss’s method
Solution set
G = P + H
Linear geometry
Hours
1
1
1
1
2
1
TEST 1
TEST 2
TEST 3
2
3
Length and angle measure
Reduced echelon form
TEST 1
Vector spaces
Subspaces
Linear independence
Basis
Dimension
Linear system
Combining subspaces
TEST 2
Isomorphisms
Isomorphisms and
Dimension
Homomorphisms
Range space and null space
Computing linear maps
TEST 3
Matrix operations
Final Exam: Thursday December 10, 8:00am – 9:50 am
1
1
1
2
1
1
1
2
2
1
1
2
2