- Engineering Analysis
- Advanced Mathematics
- Computational Logic
- Linear Algebra
- Applied Mathematics
- Algebra
- Arithmetic
- General Mathematics
- Engineering Calculations
Matrix Algebra for Engineers
Completed by Hrishabh Singh
June 20, 2020
19 hours (approximately)
Hrishabh Singh'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
