DEPARTMENT OF MATHEMATICS  AND STATISTICS Faculty of Arts Faculty of Pure and Applied Science

# Linear Algebra I (Honours Version)

Linear equations, matrices, determinants, vector spaces and inner product spaces. This course covers material similar to that in AS/SC/AK/MATH 2221 3.0 but at a more advanced level. It is required in Honours Mathematics degrees.
Linear algebra is the study of vectors, matrices and linear transformations. These concepts are used in all areas of mathematics, in all branches of science and in the quantitative aspects of the social sciences. The content of this course is similar to that of MATH 2221 3.0. This course, however, is more theoretical and covers additional topics in linear algebra and its applications. It therefore provides a solid background not only for courses in linear programming and statistics which use linear algebra but also for advanced theoretical mathematics courses such as abstract algebra and functional analysis.
The course begins with concrete topics such as the solution of linear systems of equations by Gauss-Jordan reduction, matrices and determinants. We then proceed to study the more abstract concepts of vector spaces, basis, dimension and eigenvalues.
This is a rigorous mathematics course in which all definitions and proofs are presented in class. In addition, all concepts will be illustrated with examples and reinforced through computational homework problems. Moreover, students are expected to learn to construct proofs as the course progresses. Theoretical homework problems will be assigned; however, most exam questions will be computational in nature.
This is an honours course intended primarily for students intending to earn an honours degree in mathematics (other than Honours Mathematics for Commerce). However, all students who meet the prerequisites are welcome.
The text is W. Keith Nicholson, Linear Algebra with Applications (3rd Ed.), PWS Publishing Co., 1995.
The marking scheme has yet to be determined.
(Note from the Undergraduate Office: MATH 1540 3.0 may not be taken for credit by anyone who is taking, or anyone who has taken, MATH 2021.)

Prerequisite: OAC algebra or any university mathematics course.
Exclusions:AS/SC/MATH 1025 3.0, AS/SC/AK/MATH 2221 3.0, AK/MATH 2220 6.0.

 Fall: S.O. Kochman* Section A: Course Page *Coordinator
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