SUNY Fredonia

Department of Mathematical Sciences

MATH 231 – Linear Algebra

Fall Semester, 2004

Instructor:

Dr. Iyad Abu-Jeib

Class Meeting Days, Times, and Locations:

MWF 2:00 - 3:10 Fenton 180.

Catalog Description:

MATH 231

Linear Algebra

Thorough treatment of linear algebraic systems. Matrix algebra; determinants; vector spaces; linear independence; basis and dimension; inner product spaces; least squares approximation; eigenvalues and eigenvectors; diagonalization. Selected applications to physics, economics, geometry, statistics, and differential equations.

Prerequisite: MATH 121 or 123; MATH 210 recommended.

 

Rationale:

The concepts and results of linear algebra are fundamental to the study of mathematics, showing the power and beauty of mathematical abstraction. For this reason, the Mathematical Association of America, through its Committee on the Undergraduate Program in Mathematics (CUPM), has consistently recommended that a course in linear algebra be required of all math majors.

The most recent curriculum recommendations from the CUPM (2003) stipulate that courses designed for mathematical sciences majors should ensure that students:

Along with MATH 210, MATH 231 helps to provide a bridge from the more computational and procedural courses at the 100-level to the more abstract and proof-oriented courses at the upper-level. In particular, MATH 231 provides an introduction to some of the key examples of algebraic structures that are studied in more depth in MATH 331 – Abstract Algebra I.

The TI-89 calculator is highly recommended, and will be used frequently to aid with various matrix computations. In addition, Maple will be used to help visualize systems of linear equations and their solutions.

One of our main objects of study will be the vector space of all n-tuples over the real numbers. This space is continuous, but has a finite basis, thus providing a nice link between the discrete and the continuous. Moreover, when n = 2 or 3, we may visualize vectors geometrically in the plane or in space, allowing us to connect the algebraic with the geometric. Finally, although our focus will be mainly on the theory of vector spaces, we will endeavor to mention some of the more important applications of the subject.

The CUPM makes several additional recommendations concerning programs of study to prepare future teachers. Courses for pre-service elementary and middle school teachers should help candidates develop:

In addition to the skills to be developed in K-8 teachers, the CUPM recommends that mathematical sciences majors preparing to teach secondary mathematics:

MATH 231 is directly relevant to the attainment of the above goals. More particularly, in its 2002 report, The Mathematical Preparation of Teachers, the Conference Board of the Mathematical Sciences states that, to be well-prepared to teach the new Standards-based curricula, middle and high school mathematics teachers need, in the area of Algebra and Number Theory:

In is noted that, "Calculus and linear algebra courses provide an opportunity to give undergraduates extensive practice with algebraic manipulation. Making this an explicit goal for these courses helps to assure that future teachers have technical ‘know how’ in high school algebra." In addition, the report states that for middle grades teachers who are likely to teach algebra, "coursework in linear algebra and modern algebra would be appropriate."

The National Council of Teachers of Mathematics, in its Principles and Standards for School Mathematics, has identified five content standards and five process standards that "specify the understanding, knowledge, and skills that students should acquire from prekindergarten through grade 12." MATH 231 is directly relevant to the following NCTM standards:

Textbook: Introductory Linear Algebra: An Application-Oriented First Course, 8/E, by Bernard Kolman and David R. Hill, Prentice Hall, 2005.

Calculator: The TI-89 is strongly recommended.

Objectives: Students who complete the course should be able to:

Instructional Methods and Activities: Lecture/Discussion

Refer to instructor syllabus for additional details.

Evaluation and Grade Assignment: Typically will involve homework, short quizzes, exams, and a comprehensive final exam.

Refer to instructor syllabus for additional details.

Grading Scale:

Refer to instructor syllabus.

Bibliography:

    1. H. Joseph Straight, Linear Algebra: An Invitation.
    2. Howard Anton, Elementary Linear Algebra, 7th ed., Wiley, 1994.
    3. David Poole, Linear Algebra: A Modern Introduction, Brooks/Cole, 2003.
    4. Gilbert Strang, Introduction to Linear Algebra, 2nd ed., Cambridge-Wellesley, 1998.
    5. Fred Szabo, Linear Algebra: An Introduction Using MAPLE, Harcourt/Academic Press, 2002.

In addition, the following journals frequently contain articles related to linear algebra and accessible to undergraduates:

    1. The American Mathematical Monthly, published by the Mathematical Association of America.
    2. The College Mathematics Journal, Mathematical Association of America.
    3. Mathematics Magazine, Mathematical Association of America.
    4. Mathematics Teacher, National Council of Teachers of Mathematics.
    5. Mathematics Teaching in the Middle School, National Council of Teachers of Mathematics.
    6. Linear Algebra and Its Applications, Elsevier.
    7. Numerical Linear Algebra with Applications, Wiley Interscience.
    8. Linear and Multilinear Algebra, Taylor & Francis.
    9. Electronic Journal of Linear Algebra, Internat. Linear Algebra Soc.

Topics:

Matrix algebra; systems of linear equations; determinants; vector spaces; linear transformations; eigenvalues and eigenvectors; other topics as time permits.

Policies:

Refer to instructor syllabus.