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MAT-31096 Matrix Algebra 1, 5 cr |
Seppo Pohjolainen
| Lecture times and places | Target group recommended to | |
| Implementation 1 |
Two partial examinations or final examination
Completion parts must belong to the same implementation
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| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Basics of linear algebra | ||
| 2. | LU- and QR-decompositions | ||
| 3. | Linear algebra in n-dimensional spaces. Basis. Orthogonalisation, orthonormal basis. Change of basis. Projection matrices. | ||
| 4. | Eigenvalues and eigenvectors. Spectral decomposition. Jordan's canonical form. | ||
| 5. | Singular value decomposition. Linear systems of equations. Pseudoinverse. |
Two partial examinations or final examination
Numerical evaluation scale (1-5) will be used on the course
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Matrix Theory with Applications | Goldberg | McGraw-Hill | English | |||
| Summary of lectures | Matrix Algebra 1 | Seppo Pohjolainen | Home page | English |
| Course | Corresponds course | Description |
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| Description | Methods of instruction | Implementation | |
| Implementation 1 |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |