Four to six topics, chosen from fields such as geometry, number theory, and the real numbers, with emphasis on precise def-initions, examples, conjectures, theorems, and proof methods, including induction and contradiction. Prerequisite: MATH 132 or 136 or consent of instructor. [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Four to six topics, chosen from fields such as geometry, number theory, and the real numbers, with emphasis on precise def-initions, examples, conjectures, theorems, and proof methods, including induction and contradiction. Prerequisite: MATH 132 or 136 or consent of instructor. [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Four to six topics, chosen from fields such as geometry, number theory, and the real numbers, with emphasis on precise def-initions, examples, conjectures, theorems, and proof methods, including induction and contradiction. Prerequisite: MATH 132 or 136 or consent of instructor. [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Four to six topics, chosen from fields such as geometry, number theory, and the real numbers, with emphasis on precise def-initions, examples, conjectures, theorems, and proof methods, including induction and contradiction. Prerequisite: MATH 132 or 136 or consent of instructor. [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Not available at this time

This is an Honors level introductory linear algebra course. The course will cover abstract vector spaces over arbitrary fields and linear transformations between them. In addition to standard discussion of characteristic polynomials, eigenvalues and eigenvectors, orthogonality, and inner product spaces, the course would also discuss some applications of linear algebra to problems from the other sciences and engineering, and include a discussion of the importance of numerical solutions of large systems of equations. (Gen. Ed. R2)

Basic concepts of linear algebra. Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and eigenvalues. Prerequisite or corequisite: MATH 132, or 136, or consent of instructor.

Basic concepts of linear algebra. Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and eigenvalues. Prerequisite or corequisite: MATH 132, or 136, or consent of instructor.

Basic concepts of linear algebra. Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and eigenvalues. Prerequisite or corequisite: MATH 132, or 136, or consent of instructor.