- Linear Algebra
- General Mathematics
- Advanced Mathematics
- Algebra
- Computational Logic
- Arithmetic
- Engineering Analysis
- Engineering Calculations
- Applied Mathematics
Matrix Algebra for Engineers
Completed by Akash Saraswat
June 17, 2020
19 hours (approximately)
Akash Saraswat'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
