- Applied Mathematics
- Critical Thinking
- Mathematics
- Ordinary Least Squares (Regression Analysis)
- Eigenvalues and Eigenvectors
- Mathematical Theory & Analysis
- Problem Solving
- Linear Algebra
- Elementary Matrix (Linear Algebra)
Matrix Algebra for Engineers
Completed by Seow Ryan
December 24, 2021
19 hours (approximately)
Seow Ryan's account is verified. Coursera certifies their successful completion of Matrix Algebra for Engineers
What you will learn
Matrix multiplication, transpose, inverse, orthogonal matrices
Gaussian elimination, reduced row echelon form, LU decomposition
Vector Spaces, linear independence, Gram-Schmidt process, null space, column space, least-squares problem
Determinants, Laplace expansion, Leibniz formula, eigenvalue problem, matrix diagonalization, powers of a matrix
Skills you will gain
