Linear Algebra
Cartesian products, Relations, Algebraic structures, Tables, Matrix operations, Reverse Matrix, Inverse Matrix. Determinants and their properties, Linear systems, Gauss method, Gauss – Jordan method, Systems solved with the use of inverse matrix, Cramer method, Vector spaces, Kernel and Image of linear mappings, Eigenvalues and eigenvectors, Matrix diagonalization, Applications in Informatics.
| Code | Hours | Type | eClass | Semester |
|---|---|---|---|---|
| ΜΘ110 | 4 | Compulsory | e-Class | 1 |
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