This is a sample syllabus only. Ask your instructor for the official syllabus for your course.

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The course covers Chapters 1-7 from the textbook: linear equations, vector spaces, matrices, linear transformations, determinants, eigenvalues, eigenvectors, etc.

MAT 331 meets for three hours of lecture per week.

Students must have earned at least a "C" in a course equivalent to MAT 271-Foundations of Higher Mathematics before enrolling in this course.

- solve systems of linear equations
- add, multiply matrices
- find the inverse of an invertible matrix
- evaluate determinants
- work with vectors
- identify bases of vector spaces
- find eigenvalues and eigenvectors of linear transformations

Students should be able to demonstrate through written assignments, tests, and/or oral presentations, that they have achieved the objectives of MAT 331.

Evaluations are based on homework, class participation, short tests and scheduled examinations covering students' understanding of topics that are covered in MAT 331.

Larson and Edwards*, Elementary Linear Algebra*, 4th
edition, Houghton Mifflin, 2000.

- Systems of linear equations
- Introduction to Systems of Linear Equations
- Gaussian & Gauss-Jordan Elimination

- Matrices
- Operations with Matrices
- Properties of Matrix Operations
- The Inverse of a Matrix
- Elementary Matrices

- Determinants
- The Determinant of a Matrix
- Evaluation of a Determinant Using Elementary Operations
- Properties of Determinants
- Applications of Determinants

- Vector Spaces
- Vectors in
**R**^{n} - Vector Space
- Subspaces of Vector Spaces
- Spanning Sets and Linear Independence
- Basis and Dimension
- Rank of a Matrix and Systems of Linear Equations
- Coordinates and Change of Basis

- Vectors in
- Inner Product Spaces
- Length and Dot Product in
**R**^{n} - Inner Product Spaces
- Orthonormal Bases: Gram-Schmidt Process
- Applications of Inner Product Spaces

- Length and Dot Product in
- Linear Transformations
- Introduction to Linear Transformations
- The Kernel and Range of a Linear Transformation
- Matrices for Linear Transformations

- Eigenvalues and Eigenvectors
- Eigenvalues and Eigenvectors
- Diagonalization
- Symmetric Matrices and Orthogonal Diagonalization

Students' grades are based on homework, class participation, short tests, and scheduled examinations covering students' understanding of the topics covered in MAT 331. The instructor determines the relative weights of these factors.

Attendance policy is set by the instructor.

Due dates and policy regarding make-up work are set by the instructor.

The instructor sets all test dates except the date of the final exam. The final exam is given at the date and time announced in the Schedule of Classes.

The mathematics department does not tolerate cheating. Students who have questions or concerns about academic integrity should ask their professors or the counselors in the Student Development Office, or refer to the University Catalog for more information. (Look in the index under "academic integrity".)

Cal State Dominguez Hills adheres to all applicable federal, state, and local laws, regulations, and guidelines with respect to providing reasonable accommodations for students with temporary and permanent disabilities. If you have a disability that may adversely affect your work in this class, I encourage you to register with Disabled Student Services (DSS) and to talk with me about how I can best help you. All disclosures of disabilities will be kept strictly confidential. Please note: no accommodation may be made until you register with the DSS in WH B250. For information call (310) 243-3660 or to use telecommunications Device for the Deaf, call (310) 243-2028.

Prepared by Y. Ath and S. Raianu 9/12/02. Revised 7/25/06 (G. Jennings).