Linear Algebra for Engineering or Science
Systems of linear equations. Matrix algebra. Determinants. Invertible matrix theorem. Cramer’s rule. Vector space R^n; subspaces, bases. Eigenvalues, diagonalization. Linear transformations, kernel, range. Complex numbers (including De Moivre’s theorem). Inner product spaces and orthogonality. Applications.
Topics
- De Moivre’s theorem). Inner product spaces and orthogonality
Course catalogue
2022
Readings
- Linear Algebra and its Applications, Sixth Edition, David C. Lay, Steven R. Lay, and Judi J. McDonald.
Prerequisites & course information
Precludes additional credit for BIT 1001 , BIT 1101 , BIT 1201 , MATH 1102 (no longer offered), MATH 1107 , MATH 1119 , MATH 1401 / ECON 1401 , MATH 1402 / ECON 1402 , MATH 1152 . Note: MATH 1119 is not an acceptable substitute for MATH 1104 . Prerequisite(s): Ontario Grade 12 Mathematics: Advanced Functions, or MATH 0005 , or equivalent, or permission of the School. Restricted to students in the Faculty of Engineering, the School of Computer Science, or in certain B.Sc. and B.A.S. programs where specified. Lectures three hours a week and tutorial one hour a week.
Sources
- Course catalogue ↗2026–2027
- MATH 1104A F22 ↗2022