MATH 246 - Elementary Linear Algebra
| JOHNSON COUNTY COMMUNITY COLLEGE |
| MATH DIVISION |
| MATHEMATICS |
| COURSE OUTLINE |
| Title: Elementary Linear Algebra | Effective Term: Fall 2010 | |
| Number: MATH 246 | Credit Hours: 3 | Contact Hours: 3 |
| Course Type: Transfer | Lecture Hours: 3 | Lab Hours: 0 |
Description:
This sophomore-level introduction to linear algebra uses a matrix-oriented
approach, with an emphasis on problem solving and applications. The course
focus is on matrix arithmetic, systems of linear equations, properties of
Euclidean n-space, eigenvalues and eigenvectors, orthogonality and vector
spaces. The use of technology is a major feature of the course. 3 hrs.
lecture/wk. Note: An honors contract is available. Contact the Honors
Program Office, COM 201, for more information.
Associated
Costs: These are additional (out-of-pocket) expense considerations
that students should expect in addition to the course tuition, fees, and
textbooks. $0 to $100.
Supplies: Refer to the instructor's course syllabus for details about any supplies that may be required.
| Prerequisite: | MATH 242 Calculus II or an equivalent course with a grade of "C" or higher |
Textbook(s): For information see - http://bookstore.jccc.net
Course Fees: NONE
Course Objectives:
Upon successful completion of this course the student should be able to:
- Solve systems of linear equations using Gaussian methods, matrices, and vectors.
- Determine how the functional properties of linear transformations correspond to the properties of matrix multiplication.
- Perform basic operations involving determinants.
- Determine the solution set of a homogeneous system of linear equations, the span of a finite set of vectors, the null space and range of a linear transformation; apply their properties.
- Calculate eigenvalues and eigenvectors; use their properties to describe diagonalizable matrices.
- Construct a basis of perpendicular eigenvectors for a given matrix or linear transformation.
- Extend previous concrete concepts to the more general context of an abstract vector space.
Content Outline & Competencies:
I. Matrices, Vectors, and Systems of Linear Equations A. Define matrices and vectors. B. Manipulate linear combinations, matrix-vector products, and special matrices. C. Solve systems of linear equations. D. Perform Gaussian elimination. E. Find the span of a set of vectors. F. Determine linear dependence and independence. II. Matrices and Linear Transformations A. Perform matrix multiplication. B. Construct inverse matrices with elementary matrices. C. Find the inverse of a matrix. D. Describe the relationship between linear transformations and matrices. E. Determine the composition and invertibility of linear transformations. III. Determinants A. Perform cofactor expansions. B. Use the properties of determinants. IV. Subspaces and Their Properties A. Define subspaces associated with matrices. B. Construct a basis for a subspace. C. Determine the dimension of a subspace. D. Determine the dimension of subspace associated with a matrix. E. Perform rotation of coordinate systems. F. Construct matrix representations of linear operators. V. Eigenvalues, Eigenvectors, and Diagonalization A. Determine eigenvalues and eigenvectors. B. Construct the characteristic polynomial of a matrix. C. Perform the diagonalization of matrices. D. Perform the diagonalization of linear operators. VI. Orthogonality A. Describe vectors with geometry. B.Construct orthonormal vectors. C. Perform least-squares approximation. D. Produce orthogonal projection matrices. E. Create orthogonal matrices and operators. F. Formulate symmetric matrices. VII. Vector Spaces A. Define vector spaces and their subspaces. B. Determine dimension and isomorphism. C. Develop linear transformations; find matrix representations. D. Define inner product spaces. ADDITIONAL TOPICS OF INTEREST (time permitting) Systems of linear equations in applications Matrix multiplication in applications LU decomposition of a matrix Eigenvalues in applications Singular value decomposition of a matrix Rotations of R3 in computer graphics applications
Methods of Evaluation of Competencies:
Evaluation of student mastery of course competencies will be accomplished using the following methods:
Unit Exams, Unit Papers and/or Unit Projects 40% - 80% Homework, Quizzes and/or Small Projects 0% - 50% Final Exam** 10% - 40% **The final exam must count at least as much as any unit exam, unit paper or unit project. In any course where unit exams are not proctored, the instructor may require that the student score at least a 70% on the final exam to earn a āCā for the course. At the instructor's discretion, the grade on all or any part of the final exam may replace any lower test score.
Caveats:
- To successfully complete the pre-requisite(s) for this course, a student must earn at least a "C" in the pre-requisite course(s) or earn an appropriate score on a placement exam. If a student is found not to have successfully fulfilled the pre-requisite(s) for this course, the student will be dropped from the course.
Disabilities:
If you are a student with a disability, and if you will be requesting accommodations, it is your responsibility to contact Access Services. Access Services will recommend any appropriate accommodations to your professor and his/her director. The professor and director will identify for you which accommodations will be arranged.
JCCC provides a range of services to allow persons with disabilities to participate in educational programs and activities. If you desire support services, contact the office of Access Services for Students With Disabilities (913) 469-8500, ext. 3521 or TDD (913) 469-3885. The Access Services office is located in the Success Center on the second floor of the Student Center.

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