Math 104: Introduction to Linear Algebra
Instructor: Chad Schoen
Class meetings: Tues.-Thurs. 10:05 - 11:20 in room 205 Physics Building.
Course Goals:
Math 104 will introduce students to the basic notions of
linear algebra. Linear algebra is used extensively in most areas of
mathematics. In particular it plays an important role in applications
of mathematics to business, biology, economics, engineering, physics
and some areas of computer science. The basic notions to be covered
in this course include vector spaces, linear transformations,
determinants, eigenvalues, eigenvectors, and symmetric bilinear forms.
The most basic algorithms of the subject will be treated: The Gauss
elimination algorithm for finding the solution set to a system of
linear equations and the Gram-Schmidt orthogonalization process.
Applications to various fields including differential equations will
be touched upon lightly.
Math 104 is similar to Math 107. The difference is one of emphasis.
Math 107 was designed to fit the needs of engineering undergraduates.
It has a greater emphasis on applications to differential equations.
Math 104 has a somewhat greater emphasis on theory and proofs.
Thus it serves as good preparation for perspective
mathematics majors. Linear algebra is a prerequisite for many
undergraduate mathematics courses.
Prerequisites:
Math 32, 32L, or 41.
Text:
Linear Algebra, by T. Shifren and M. Adams.
Grading:
Weekly homework 20%
First in class exam 20%
Second in class exam 20%
Final exam 40%
Further information:
Detailed information
Last modified Jan 5, 2005