TEXT: G. Strang, Introduction to Linear Algebra, 4th Ed., ISBN 0980232716.

COURSE DESCRIPTION:

Many systems studied in science, engineering, and computer science involve a linear relationship among many variables. Linear algebra is the mathematical description of such problems. Topics include: systems of linear equations, Gaussian elimination, matrices, determinants, Cramer’s rule, vector spaces, linear transformations, eigenvalues and eigenvectors.

PREREQUISITES: Calculus I or permission of instructor.

COURSE OBJECTIVES: The major objective of this course is to introduce fundamental principles of linear algebra and to illustrate its power on applications.

LEARNING OUTCOMES:
At the end of the semester, students will be able to:

• solve systems of linear equations
• calculate with matrices,
• describe the concept of vector spaces,
• calculate determinants and understand their meaning,
• calculate and apply eigenvalues and eigenvectors,
• describe linear transformations and find their matrices,
• apply linear algebra to discrete calculus, graphs, networks and Fourier analysis.

OFFICE HOURS:   W 9-11AM,   T,R 9-10AM

GRADES:

Homework Test (Sept. 22) Test (Oct. 20) Test (Nov. 17) Final (cumulative)

10 points 25 points 25 points 25 points 40 points

A+ >= 97 pts A = 93,...,96 pts A- = 90,...,92 pts etc.

The lowest test score will be dropped.