Matrix Algebra for Engineers
Completed by Pranava Chaitanya Jayanti
February 7, 2026
19 hours (approximately)
Pranava Chaitanya Jayanti'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
- Category: Linear Algebra
- Category: Applied Mathematics
- Category: Engineering Analysis
- Category: General Mathematics
- Category: Engineering Calculations
- Category: Advanced Mathematics
- Category: Algebra
- Category: Numerical Analysis
