Bachelor of Computer Science - Matrix Theory and Linear Algebra I

CREDIT HOURS: 3

This course is a self-contained introduction to Matrix Theory and Linear Algebra. Topics include: systems of linear equations, vectors in R^n, matrices, spans, linear independence, bases, dimension, linear transformations in R^n, determinants, eigenvalues and eigenvectors, diagonalization, applications.

FORMAT: Lecture

FORMAT COMMENTS: MLC

PREREQUISITES: Nova Scotia Advanced Mathematics 11 or 12 (or equivalent)

EXCLUSIONS: MATH 2030.03

**MATH 1030 Matrix Theory and Linear Algebra I**CREDIT HOURS: 3

This course is a self-contained introduction to Matrix Theory and Linear Algebra. Topics include: systems of linear equations, vectors in R^n, matrices, spans, linear independence, bases, dimension, linear transformations in R^n, determinants, eigenvalues and eigenvectors, diagonalization, applications.

FORMAT: Lecture

FORMAT COMMENTS: MLC

PREREQUISITES: Nova Scotia Advanced Mathematics 11 or 12 (or equivalent)

EXCLUSIONS: MATH 2030.03